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https://github.com/huggingface/datasets/pull/1694 | Add OSCAR | The recomputation of the metadata finished a few days ago, I'll update the PR soon :) | Continuation of #348
The files have been moved to S3 and only the unshuffled version is available.
Both original and deduplicated versions of each language are available.
Example of usage:
```python
from datasets import load_dataset
oscar_dedup_en = load_dataset("oscar", "unshuffled_deduplicated_en", split="train")
oscar_orig_fr = load_dataset("oscar", "unshuffled_original_fr", split="train")
```
cc @pjox @jonatasgrosman
-------------
To make the metadata generation work in parallel I did a few changes in the `datasets-cli test` command to add the `num_proc` and `proc_rank` arguments. This way you can run multiple processes for the metadata computation.
```
datasets-cli test ./datasets/oscar --save_infos --all_configs --num_proc 4 --proc_rank 0 --clear_cache --cache_dir tmp0
```
-------------
ToDo: add the dummy_data | 16 | text: Add OSCAR
Continuation of #348
The files have been moved to S3 and only the unshuffled version is available.
Both original and deduplicated versions of each language are available.
Example of usage:
```python
from datasets import load_dataset
oscar_dedup_en = load_dataset("oscar", "unshuffled_deduplicated_en", split="train")
oscar_orig_fr = load_dataset("oscar", "unshuffled_original_fr", split="train")
```
cc @pjox @jonatasgrosman
-------------
To make the metadata generation work in parallel I did a few changes in the `datasets-cli test` command to add the `num_proc` and `proc_rank` arguments. This way you can run multiple processes for the metadata computation.
```
datasets-cli test ./datasets/oscar --save_infos --all_configs --num_proc 4 --proc_rank 0 --clear_cache --cache_dir tmp0
```
-------------
ToDo: add the dummy_data
The recomputation of the metadata finished a few days ago, I'll update the PR soon :) | [
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https://github.com/huggingface/datasets/pull/1678 | Switchboard Dialog Act Corpus added under `datasets/swda` | @lhoestq Thank you for your detailed comments! I fixed everything you suggested.
Please let me know if I'm missing anything else. | Switchboard Dialog Act Corpus
Intro:
The Switchboard Dialog Act Corpus (SwDA) extends the Switchboard-1 Telephone Speech Corpus, Release 2,
with turn/utterance-level dialog-act tags. The tags summarize syntactic, semantic, and pragmatic information
about the associated turn. The SwDA project was undertaken at UC Boulder in the late 1990s.
Details:
[homepage](http://compprag.christopherpotts.net/swda.html)
[repo](https://github.com/NathanDuran/Switchboard-Corpus/raw/master/swda_data/)
I believe this is an important dataset to have since there is no dataset related to dialogue act added.
I didn't find any formatting for pull request. I hope all this information is enough.
For any support please contact me. | 21 | text: Switchboard Dialog Act Corpus added under `datasets/swda`
Switchboard Dialog Act Corpus
Intro:
The Switchboard Dialog Act Corpus (SwDA) extends the Switchboard-1 Telephone Speech Corpus, Release 2,
with turn/utterance-level dialog-act tags. The tags summarize syntactic, semantic, and pragmatic information
about the associated turn. The SwDA project was undertaken at UC Boulder in the late 1990s.
Details:
[homepage](http://compprag.christopherpotts.net/swda.html)
[repo](https://github.com/NathanDuran/Switchboard-Corpus/raw/master/swda_data/)
I believe this is an important dataset to have since there is no dataset related to dialogue act added.
I didn't find any formatting for pull request. I hope all this information is enough.
For any support please contact me.
@lhoestq Thank you for your detailed comments! I fixed everything you suggested.
Please let me know if I'm missing anything else. | [
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https://github.com/huggingface/datasets/pull/1678 | Switchboard Dialog Act Corpus added under `datasets/swda` | It looks like the Transcript and Utterance objects are missing, maybe we can mention it in the README ? Or just add them ? @gmihaila @bhavitvyamalik | Switchboard Dialog Act Corpus
Intro:
The Switchboard Dialog Act Corpus (SwDA) extends the Switchboard-1 Telephone Speech Corpus, Release 2,
with turn/utterance-level dialog-act tags. The tags summarize syntactic, semantic, and pragmatic information
about the associated turn. The SwDA project was undertaken at UC Boulder in the late 1990s.
Details:
[homepage](http://compprag.christopherpotts.net/swda.html)
[repo](https://github.com/NathanDuran/Switchboard-Corpus/raw/master/swda_data/)
I believe this is an important dataset to have since there is no dataset related to dialogue act added.
I didn't find any formatting for pull request. I hope all this information is enough.
For any support please contact me. | 26 | text: Switchboard Dialog Act Corpus added under `datasets/swda`
Switchboard Dialog Act Corpus
Intro:
The Switchboard Dialog Act Corpus (SwDA) extends the Switchboard-1 Telephone Speech Corpus, Release 2,
with turn/utterance-level dialog-act tags. The tags summarize syntactic, semantic, and pragmatic information
about the associated turn. The SwDA project was undertaken at UC Boulder in the late 1990s.
Details:
[homepage](http://compprag.christopherpotts.net/swda.html)
[repo](https://github.com/NathanDuran/Switchboard-Corpus/raw/master/swda_data/)
I believe this is an important dataset to have since there is no dataset related to dialogue act added.
I didn't find any formatting for pull request. I hope all this information is enough.
For any support please contact me.
It looks like the Transcript and Utterance objects are missing, maybe we can mention it in the README ? Or just add them ? @gmihaila @bhavitvyamalik | [
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https://github.com/huggingface/datasets/pull/1678 | Switchboard Dialog Act Corpus added under `datasets/swda` | > It looks like the Transcript and Utterance objects are missing, maybe we can mention it in the README ? Or just add them ? @gmihaila @bhavitvyamalik
@lhoestq Any info on how to add them? | Switchboard Dialog Act Corpus
Intro:
The Switchboard Dialog Act Corpus (SwDA) extends the Switchboard-1 Telephone Speech Corpus, Release 2,
with turn/utterance-level dialog-act tags. The tags summarize syntactic, semantic, and pragmatic information
about the associated turn. The SwDA project was undertaken at UC Boulder in the late 1990s.
Details:
[homepage](http://compprag.christopherpotts.net/swda.html)
[repo](https://github.com/NathanDuran/Switchboard-Corpus/raw/master/swda_data/)
I believe this is an important dataset to have since there is no dataset related to dialogue act added.
I didn't find any formatting for pull request. I hope all this information is enough.
For any support please contact me. | 35 | text: Switchboard Dialog Act Corpus added under `datasets/swda`
Switchboard Dialog Act Corpus
Intro:
The Switchboard Dialog Act Corpus (SwDA) extends the Switchboard-1 Telephone Speech Corpus, Release 2,
with turn/utterance-level dialog-act tags. The tags summarize syntactic, semantic, and pragmatic information
about the associated turn. The SwDA project was undertaken at UC Boulder in the late 1990s.
Details:
[homepage](http://compprag.christopherpotts.net/swda.html)
[repo](https://github.com/NathanDuran/Switchboard-Corpus/raw/master/swda_data/)
I believe this is an important dataset to have since there is no dataset related to dialogue act added.
I didn't find any formatting for pull request. I hope all this information is enough.
For any support please contact me.
> It looks like the Transcript and Utterance objects are missing, maybe we can mention it in the README ? Or just add them ? @gmihaila @bhavitvyamalik
@lhoestq Any info on how to add them? | [
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https://github.com/huggingface/datasets/pull/1678 | Switchboard Dialog Act Corpus added under `datasets/swda` | @gmihaila, instead of using the current repo you should look into [this](https://github.com/cgpotts/swda). You can use the `csv` files uploaded in this repo (`swda.zip`) to access other fields and include them in this dataset. It has one dependency too, `swda.py`, you can download that separately and include it in your dataset's folder to be imported while reading the `csv` files.
Almost all the attributes of `Transcript` and `Utterance` objects are of the type str, int, or list. As far as `trees` attribute is concerned in utterance object you can simply parse it as string and user can maybe later convert it to nltk.tree object | Switchboard Dialog Act Corpus
Intro:
The Switchboard Dialog Act Corpus (SwDA) extends the Switchboard-1 Telephone Speech Corpus, Release 2,
with turn/utterance-level dialog-act tags. The tags summarize syntactic, semantic, and pragmatic information
about the associated turn. The SwDA project was undertaken at UC Boulder in the late 1990s.
Details:
[homepage](http://compprag.christopherpotts.net/swda.html)
[repo](https://github.com/NathanDuran/Switchboard-Corpus/raw/master/swda_data/)
I believe this is an important dataset to have since there is no dataset related to dialogue act added.
I didn't find any formatting for pull request. I hope all this information is enough.
For any support please contact me. | 103 | text: Switchboard Dialog Act Corpus added under `datasets/swda`
Switchboard Dialog Act Corpus
Intro:
The Switchboard Dialog Act Corpus (SwDA) extends the Switchboard-1 Telephone Speech Corpus, Release 2,
with turn/utterance-level dialog-act tags. The tags summarize syntactic, semantic, and pragmatic information
about the associated turn. The SwDA project was undertaken at UC Boulder in the late 1990s.
Details:
[homepage](http://compprag.christopherpotts.net/swda.html)
[repo](https://github.com/NathanDuran/Switchboard-Corpus/raw/master/swda_data/)
I believe this is an important dataset to have since there is no dataset related to dialogue act added.
I didn't find any formatting for pull request. I hope all this information is enough.
For any support please contact me.
@gmihaila, instead of using the current repo you should look into [this](https://github.com/cgpotts/swda). You can use the `csv` files uploaded in this repo (`swda.zip`) to access other fields and include them in this dataset. It has one dependency too, `swda.py`, you can download that separately and include it in your dataset's folder to be imported while reading the `csv` files.
Almost all the attributes of `Transcript` and `Utterance` objects are of the type str, int, or list. As far as `trees` attribute is concerned in utterance object you can simply parse it as string and user can maybe later convert it to nltk.tree object | [
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https://github.com/huggingface/datasets/pull/1678 | Switchboard Dialog Act Corpus added under `datasets/swda` | @bhavitvyamalik Thank you for the clarification!
I didn't use [that](https://github.com/cgpotts/swda) because it doesn't have the splits. I think in combination with [what I used](https://github.com/NathanDuran/Switchboard-Corpus) would help.
Let me know if I can help! I can make those changes if you don't have the time. | Switchboard Dialog Act Corpus
Intro:
The Switchboard Dialog Act Corpus (SwDA) extends the Switchboard-1 Telephone Speech Corpus, Release 2,
with turn/utterance-level dialog-act tags. The tags summarize syntactic, semantic, and pragmatic information
about the associated turn. The SwDA project was undertaken at UC Boulder in the late 1990s.
Details:
[homepage](http://compprag.christopherpotts.net/swda.html)
[repo](https://github.com/NathanDuran/Switchboard-Corpus/raw/master/swda_data/)
I believe this is an important dataset to have since there is no dataset related to dialogue act added.
I didn't find any formatting for pull request. I hope all this information is enough.
For any support please contact me. | 44 | text: Switchboard Dialog Act Corpus added under `datasets/swda`
Switchboard Dialog Act Corpus
Intro:
The Switchboard Dialog Act Corpus (SwDA) extends the Switchboard-1 Telephone Speech Corpus, Release 2,
with turn/utterance-level dialog-act tags. The tags summarize syntactic, semantic, and pragmatic information
about the associated turn. The SwDA project was undertaken at UC Boulder in the late 1990s.
Details:
[homepage](http://compprag.christopherpotts.net/swda.html)
[repo](https://github.com/NathanDuran/Switchboard-Corpus/raw/master/swda_data/)
I believe this is an important dataset to have since there is no dataset related to dialogue act added.
I didn't find any formatting for pull request. I hope all this information is enough.
For any support please contact me.
@bhavitvyamalik Thank you for the clarification!
I didn't use [that](https://github.com/cgpotts/swda) because it doesn't have the splits. I think in combination with [what I used](https://github.com/NathanDuran/Switchboard-Corpus) would help.
Let me know if I can help! I can make those changes if you don't have the time. | [
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https://github.com/huggingface/datasets/pull/1678 | Switchboard Dialog Act Corpus added under `datasets/swda` | I'm a bit busy for the next 2 weeks. I'll be able to complete it by end of January only. Maybe you can start with it and I'll help you?
Also, I looked into the official train/val/test splits and not all the files are there in the repo I used so I think either we'll have to skip them or put all of that into just train | Switchboard Dialog Act Corpus
Intro:
The Switchboard Dialog Act Corpus (SwDA) extends the Switchboard-1 Telephone Speech Corpus, Release 2,
with turn/utterance-level dialog-act tags. The tags summarize syntactic, semantic, and pragmatic information
about the associated turn. The SwDA project was undertaken at UC Boulder in the late 1990s.
Details:
[homepage](http://compprag.christopherpotts.net/swda.html)
[repo](https://github.com/NathanDuran/Switchboard-Corpus/raw/master/swda_data/)
I believe this is an important dataset to have since there is no dataset related to dialogue act added.
I didn't find any formatting for pull request. I hope all this information is enough.
For any support please contact me. | 67 | text: Switchboard Dialog Act Corpus added under `datasets/swda`
Switchboard Dialog Act Corpus
Intro:
The Switchboard Dialog Act Corpus (SwDA) extends the Switchboard-1 Telephone Speech Corpus, Release 2,
with turn/utterance-level dialog-act tags. The tags summarize syntactic, semantic, and pragmatic information
about the associated turn. The SwDA project was undertaken at UC Boulder in the late 1990s.
Details:
[homepage](http://compprag.christopherpotts.net/swda.html)
[repo](https://github.com/NathanDuran/Switchboard-Corpus/raw/master/swda_data/)
I believe this is an important dataset to have since there is no dataset related to dialogue act added.
I didn't find any formatting for pull request. I hope all this information is enough.
For any support please contact me.
I'm a bit busy for the next 2 weeks. I'll be able to complete it by end of January only. Maybe you can start with it and I'll help you?
Also, I looked into the official train/val/test splits and not all the files are there in the repo I used so I think either we'll have to skip them or put all of that into just train | [
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https://github.com/huggingface/datasets/pull/1678 | Switchboard Dialog Act Corpus added under `datasets/swda` | Yes, I can start working on it and ask you to do a code review.
Yes, not all files are there. I'll try to find papers that have the correct and full splits, if not, I'll do like you suggested.
Thank you again for your help @bhavitvyamalik ! | Switchboard Dialog Act Corpus
Intro:
The Switchboard Dialog Act Corpus (SwDA) extends the Switchboard-1 Telephone Speech Corpus, Release 2,
with turn/utterance-level dialog-act tags. The tags summarize syntactic, semantic, and pragmatic information
about the associated turn. The SwDA project was undertaken at UC Boulder in the late 1990s.
Details:
[homepage](http://compprag.christopherpotts.net/swda.html)
[repo](https://github.com/NathanDuran/Switchboard-Corpus/raw/master/swda_data/)
I believe this is an important dataset to have since there is no dataset related to dialogue act added.
I didn't find any formatting for pull request. I hope all this information is enough.
For any support please contact me. | 48 | text: Switchboard Dialog Act Corpus added under `datasets/swda`
Switchboard Dialog Act Corpus
Intro:
The Switchboard Dialog Act Corpus (SwDA) extends the Switchboard-1 Telephone Speech Corpus, Release 2,
with turn/utterance-level dialog-act tags. The tags summarize syntactic, semantic, and pragmatic information
about the associated turn. The SwDA project was undertaken at UC Boulder in the late 1990s.
Details:
[homepage](http://compprag.christopherpotts.net/swda.html)
[repo](https://github.com/NathanDuran/Switchboard-Corpus/raw/master/swda_data/)
I believe this is an important dataset to have since there is no dataset related to dialogue act added.
I didn't find any formatting for pull request. I hope all this information is enough.
For any support please contact me.
Yes, I can start working on it and ask you to do a code review.
Yes, not all files are there. I'll try to find papers that have the correct and full splits, if not, I'll do like you suggested.
Thank you again for your help @bhavitvyamalik ! | [
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https://github.com/huggingface/datasets/pull/1676 | new version of Ted Talks IWSLT (WIT3) | > Nice thank you ! Actually as it is a translation dataset we should probably have one configuration = one language pair no ?
>
> Could you use the same trick for this dataset ?
I was looking for this input, infact I had written a long post on the Slack channel,...(_but unfortunately due to the holidays didn;t get a respones_). Initially I had tried with language pairs and then with specific language configs.
I'll have a look at the `opus-gnomes` dataset
| In the previous iteration #1608 I had used language pairs. Which created 21,582 configs (109*108) !!!
Now, TED talks in _each language_ is a separate config. So it's more cleaner with _just 109 configs_ (one for each language). Dummy files were created manually.
Locally I was able to clear the `python datasets-cli test datasets/......` . Which created the `dataset_info.json` file . The test for the dummy files was also cleared. However couldn't figure out how to specify the local data folder for the real dataset
**Note: that this requires manual download of the dataset.**
**Note2: The high number of _Files changed (112)_ is because of the large number of dummy files/configs!** | 83 | text: new version of Ted Talks IWSLT (WIT3)
In the previous iteration #1608 I had used language pairs. Which created 21,582 configs (109*108) !!!
Now, TED talks in _each language_ is a separate config. So it's more cleaner with _just 109 configs_ (one for each language). Dummy files were created manually.
Locally I was able to clear the `python datasets-cli test datasets/......` . Which created the `dataset_info.json` file . The test for the dummy files was also cleared. However couldn't figure out how to specify the local data folder for the real dataset
**Note: that this requires manual download of the dataset.**
**Note2: The high number of _Files changed (112)_ is because of the large number of dummy files/configs!**
> Nice thank you ! Actually as it is a translation dataset we should probably have one configuration = one language pair no ?
>
> Could you use the same trick for this dataset ?
I was looking for this input, infact I had written a long post on the Slack channel,...(_but unfortunately due to the holidays didn;t get a respones_). Initially I had tried with language pairs and then with specific language configs.
I'll have a look at the `opus-gnomes` dataset
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https://github.com/huggingface/datasets/pull/1676 | new version of Ted Talks IWSLT (WIT3) | Oh sorry I must have missed your message then :/
I was off a few days during the holidays
Hopefully this trick can enable the use of any language pair (+ year ?) combination and also simplify a lot the dummy data creation since it will only require a few configs. | In the previous iteration #1608 I had used language pairs. Which created 21,582 configs (109*108) !!!
Now, TED talks in _each language_ is a separate config. So it's more cleaner with _just 109 configs_ (one for each language). Dummy files were created manually.
Locally I was able to clear the `python datasets-cli test datasets/......` . Which created the `dataset_info.json` file . The test for the dummy files was also cleared. However couldn't figure out how to specify the local data folder for the real dataset
**Note: that this requires manual download of the dataset.**
**Note2: The high number of _Files changed (112)_ is because of the large number of dummy files/configs!** | 51 | text: new version of Ted Talks IWSLT (WIT3)
In the previous iteration #1608 I had used language pairs. Which created 21,582 configs (109*108) !!!
Now, TED talks in _each language_ is a separate config. So it's more cleaner with _just 109 configs_ (one for each language). Dummy files were created manually.
Locally I was able to clear the `python datasets-cli test datasets/......` . Which created the `dataset_info.json` file . The test for the dummy files was also cleared. However couldn't figure out how to specify the local data folder for the real dataset
**Note: that this requires manual download of the dataset.**
**Note2: The high number of _Files changed (112)_ is because of the large number of dummy files/configs!**
Oh sorry I must have missed your message then :/
I was off a few days during the holidays
Hopefully this trick can enable the use of any language pair (+ year ?) combination and also simplify a lot the dummy data creation since it will only require a few configs. | [
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https://github.com/huggingface/datasets/pull/1676 | new version of Ted Talks IWSLT (WIT3) | Updated it as per the comments. But couldn't figure out why the dummy tests are failing >>
```
$RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_real_dataset_ted_talks_iwslt
.....
....
tests/test_dataset_common.py:198: in check_load_dataset
self.parent.assertTrue(len(dataset[split]) > 0)
E AssertionError: False is not true
``` | In the previous iteration #1608 I had used language pairs. Which created 21,582 configs (109*108) !!!
Now, TED talks in _each language_ is a separate config. So it's more cleaner with _just 109 configs_ (one for each language). Dummy files were created manually.
Locally I was able to clear the `python datasets-cli test datasets/......` . Which created the `dataset_info.json` file . The test for the dummy files was also cleared. However couldn't figure out how to specify the local data folder for the real dataset
**Note: that this requires manual download of the dataset.**
**Note2: The high number of _Files changed (112)_ is because of the large number of dummy files/configs!** | 36 | text: new version of Ted Talks IWSLT (WIT3)
In the previous iteration #1608 I had used language pairs. Which created 21,582 configs (109*108) !!!
Now, TED talks in _each language_ is a separate config. So it's more cleaner with _just 109 configs_ (one for each language). Dummy files were created manually.
Locally I was able to clear the `python datasets-cli test datasets/......` . Which created the `dataset_info.json` file . The test for the dummy files was also cleared. However couldn't figure out how to specify the local data folder for the real dataset
**Note: that this requires manual download of the dataset.**
**Note2: The high number of _Files changed (112)_ is because of the large number of dummy files/configs!**
Updated it as per the comments. But couldn't figure out why the dummy tests are failing >>
```
$RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_real_dataset_ted_talks_iwslt
.....
....
tests/test_dataset_common.py:198: in check_load_dataset
self.parent.assertTrue(len(dataset[split]) > 0)
E AssertionError: False is not true
``` | [
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https://github.com/huggingface/datasets/pull/1651 | Add twi wordsim353 | Well actually it looks like it was already added in #1428
Maybe we can close this one ? Or you wanted to make changes to this dataset ? | Added the citation information to the README file | 28 | text: Add twi wordsim353
Added the citation information to the README file
Well actually it looks like it was already added in #1428
Maybe we can close this one ? Or you wanted to make changes to this dataset ? | [
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https://github.com/huggingface/datasets/pull/1623 | Add CLIMATE-FEVER dataset | Thank you @lhoestq for your comments! 😄 I added your suggested changes, ran the tests and regenerated `dataset_infos.json` and `dummy_data`. | As suggested by @SBrandeis , fresh PR that adds CLIMATE-FEVER. Replaces PR #1579.
---
A dataset adopting the FEVER methodology that consists of 1,535 real-world claims regarding climate-change collected on the internet. Each claim is accompanied by five manually annotated evidence sentences retrieved from the English Wikipedia that support, refute or do not give enough information to validate the claim totalling in 7,675 claim-evidence pairs. The dataset features challenging claims that relate multiple facets and disputed cases of claims where both supporting and refuting evidence are present.
More information can be found at:
* Homepage: http://climatefever.ai
* Paper: https://arxiv.org/abs/2012.00614 | 20 | text: Add CLIMATE-FEVER dataset
As suggested by @SBrandeis , fresh PR that adds CLIMATE-FEVER. Replaces PR #1579.
---
A dataset adopting the FEVER methodology that consists of 1,535 real-world claims regarding climate-change collected on the internet. Each claim is accompanied by five manually annotated evidence sentences retrieved from the English Wikipedia that support, refute or do not give enough information to validate the claim totalling in 7,675 claim-evidence pairs. The dataset features challenging claims that relate multiple facets and disputed cases of claims where both supporting and refuting evidence are present.
More information can be found at:
* Homepage: http://climatefever.ai
* Paper: https://arxiv.org/abs/2012.00614
Thank you @lhoestq for your comments! 😄 I added your suggested changes, ran the tests and regenerated `dataset_infos.json` and `dummy_data`. | [
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https://github.com/huggingface/datasets/pull/1620 | Adding myPOS2017 dataset | looks like this PR includes changes about many other files than the ones for myPOS2017
Could you open another branch and another PR please ?
(or fix this branch) | myPOS Corpus (Myanmar Part-of-Speech Corpus) for Myanmar language NLP Research and Developments | 29 | text: Adding myPOS2017 dataset
myPOS Corpus (Myanmar Part-of-Speech Corpus) for Myanmar language NLP Research and Developments
looks like this PR includes changes about many other files than the ones for myPOS2017
Could you open another branch and another PR please ?
(or fix this branch) | [
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https://github.com/huggingface/datasets/pull/1620 | Adding myPOS2017 dataset | Hi @hungluumfc ! Have you had a chance to fix this PR so that it only includes the changes for `mypos` ?
Feel free to ping me if you have questions or if I can help :) | myPOS Corpus (Myanmar Part-of-Speech Corpus) for Myanmar language NLP Research and Developments | 37 | text: Adding myPOS2017 dataset
myPOS Corpus (Myanmar Part-of-Speech Corpus) for Myanmar language NLP Research and Developments
Hi @hungluumfc ! Have you had a chance to fix this PR so that it only includes the changes for `mypos` ?
Feel free to ping me if you have questions or if I can help :) | [
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https://github.com/huggingface/datasets/pull/1619 | data loader for reading comprehension task | Thank you for all the feedback! I have updated the dummy data with a zip under 30KB, which needs to include at least one data instance from both document domain and dialog domain. Please let me know if it is still too big. Thanks! | added doc2dial data loader and dummy data for reading comprehension task. | 44 | text: data loader for reading comprehension task
added doc2dial data loader and dummy data for reading comprehension task.
Thank you for all the feedback! I have updated the dummy data with a zip under 30KB, which needs to include at least one data instance from both document domain and dialog domain. Please let me know if it is still too big. Thanks! | [
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https://github.com/huggingface/datasets/pull/1619 | data loader for reading comprehension task | Thank you again for the feedback! I am not too sure what the preferable style for data instance in readme, but still added my edits. Thanks! | added doc2dial data loader and dummy data for reading comprehension task. | 26 | text: data loader for reading comprehension task
added doc2dial data loader and dummy data for reading comprehension task.
Thank you again for the feedback! I am not too sure what the preferable style for data instance in readme, but still added my edits. Thanks! | [
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https://github.com/huggingface/datasets/pull/1616 | added TurkishMovieSentiment dataset | > I just generated the dataset_infos.json file
>
> Thanks for adding this one !
Thank you very much for your support. | This PR adds the **TurkishMovieSentiment: This dataset contains turkish movie reviews.**
- **Homepage:** [https://www.kaggle.com/mustfkeskin/turkish-movie-sentiment-analysis-dataset/tasks](https://www.kaggle.com/mustfkeskin/turkish-movie-sentiment-analysis-dataset/tasks)
- **Point of Contact:** [Mustafa Keskin](https://www.linkedin.com/in/mustfkeskin/) | 22 | text: added TurkishMovieSentiment dataset
This PR adds the **TurkishMovieSentiment: This dataset contains turkish movie reviews.**
- **Homepage:** [https://www.kaggle.com/mustfkeskin/turkish-movie-sentiment-analysis-dataset/tasks](https://www.kaggle.com/mustfkeskin/turkish-movie-sentiment-analysis-dataset/tasks)
- **Point of Contact:** [Mustafa Keskin](https://www.linkedin.com/in/mustfkeskin/)
> I just generated the dataset_infos.json file
>
> Thanks for adding this one !
Thank you very much for your support. | [
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https://github.com/huggingface/datasets/pull/1606 | added Semantic Scholar Open Research Corpus | I think we’ll need complete dataset_infos.json to create YAML tags. I ran the script again with 100 files after going through your comments and it was occupying ~16 GB space. So in total it should take ~960GB and I don’t have this much memory available with me. Also, I'll have to download the whole dataset for generating dummy data, right? | I picked up this dataset [Semantic Scholar Open Research Corpus](https://allenai.org/data/s2orc) but it contains 6000 files to be downloaded. I tried the current code with 100 files and it worked fine (took ~15GB space). For 6000 files it would occupy ~900GB space which I don’t have. Can someone from the HF team with that much of disk space help me with generate dataset_infos and dummy_data? | 60 | text: added Semantic Scholar Open Research Corpus
I picked up this dataset [Semantic Scholar Open Research Corpus](https://allenai.org/data/s2orc) but it contains 6000 files to be downloaded. I tried the current code with 100 files and it worked fine (took ~15GB space). For 6000 files it would occupy ~900GB space which I don’t have. Can someone from the HF team with that much of disk space help me with generate dataset_infos and dummy_data?
I think we’ll need complete dataset_infos.json to create YAML tags. I ran the script again with 100 files after going through your comments and it was occupying ~16 GB space. So in total it should take ~960GB and I don’t have this much memory available with me. Also, I'll have to download the whole dataset for generating dummy data, right? | [
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https://github.com/huggingface/datasets/pull/1601 | second update of the id_newspapers_2018 | I close this PR, since it based on 1 week old repo. And I will create a new one | The feature "url" is currently set wrongly to data["date"], this PR fix it to data["url"].
I added also an additional POC. | 19 | text: second update of the id_newspapers_2018
The feature "url" is currently set wrongly to data["date"], this PR fix it to data["url"].
I added also an additional POC.
I close this PR, since it based on 1 week old repo. And I will create a new one | [
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https://github.com/huggingface/datasets/pull/1595 | Logiqa en | I'm getting an error when I try to create the dummy data:
```python
aclifton@pop-os:~/data/hf_datasets_sprint/datasets$ python datasets-cli dummy_data ./datasets/logiqa_en/ --auto_generate
2021-01-07 10:50:12.024791: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2021-01-07 10:50:12.024814: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Using custom data configuration default
Couldn't generate dummy file 'datasets/dummy/1.1.0/dummy_data/master.zip/LogiQA-dataset-master/README.md'. Ignore that if this file is not useful for dummy data.
Dummy data generation done but dummy data test failed since splits ['train', 'test', 'validation'] have 0 examples for config 'default''.
Automatic dummy data generation failed for some configs of './datasets/logiqa_en/'
``` | logiqa in english. | 113 | text: Logiqa en
logiqa in english.
I'm getting an error when I try to create the dummy data:
```python
aclifton@pop-os:~/data/hf_datasets_sprint/datasets$ python datasets-cli dummy_data ./datasets/logiqa_en/ --auto_generate
2021-01-07 10:50:12.024791: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2021-01-07 10:50:12.024814: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Using custom data configuration default
Couldn't generate dummy file 'datasets/dummy/1.1.0/dummy_data/master.zip/LogiQA-dataset-master/README.md'. Ignore that if this file is not useful for dummy data.
Dummy data generation done but dummy data test failed since splits ['train', 'test', 'validation'] have 0 examples for config 'default''.
Automatic dummy data generation failed for some configs of './datasets/logiqa_en/'
``` | [
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https://github.com/huggingface/datasets/pull/1595 | Logiqa en | Hi ! Sorry for the delay
To fix your issue for the dummy data you must increase the number of lines that will be kept to generate the dummy files. By default it's 5, and as you need at least 8 lines here to yield one example you must increase this.
You can increase the number of lines to 32 for example by doing
```
datasets-cli dummy_data ./datasets/logica_en --auto_generate --n_lines 32
```
Also it looks like there are changes about other datasets in this PR (imppres). Can you fix that ? You may need to create another branch and another PR. | logiqa in english. | 101 | text: Logiqa en
logiqa in english.
Hi ! Sorry for the delay
To fix your issue for the dummy data you must increase the number of lines that will be kept to generate the dummy files. By default it's 5, and as you need at least 8 lines here to yield one example you must increase this.
You can increase the number of lines to 32 for example by doing
```
datasets-cli dummy_data ./datasets/logica_en --auto_generate --n_lines 32
```
Also it looks like there are changes about other datasets in this PR (imppres). Can you fix that ? You may need to create another branch and another PR. | [
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https://github.com/huggingface/datasets/pull/1595 | Logiqa en | To fix the branch issue, I went ahead and made a backup of the dataset then deleted my local copy of my fork of `datasets`. I then followed the [detailed guide](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md) from the beginning to reclone the fork and start a new branch.
However, when it came time to create the dummy data I got the following error:
```python
aclifton@pop-os:~/data/hf_datasets_sprint/datasets$ datasets-cli dummy_data ./datasets/logiqa_en --auto_generate --n_lines 32
2021-02-03 11:23:23.145885: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2021-02-03 11:23:23.145914: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Using custom data configuration default
Couldn't generate dummy file 'datasets/logiqa_en/dummy/1.1.0/dummy_data/master.zip/LogiQA-dataset-master/README.md'. Ignore that if this file is not useful for dummy data.
Traceback (most recent call last):
File "/home/aclifton/anaconda3/bin/datasets-cli", line 36, in <module>
service.run()
File "/home/aclifton/anaconda3/lib/python3.7/site-packages/datasets/commands/dummy_data.py", line 317, in run
keep_uncompressed=self._keep_uncompressed,
File "/home/aclifton/anaconda3/lib/python3.7/site-packages/datasets/commands/dummy_data.py", line 355, in _autogenerate_dummy_data
dataset_builder._prepare_split(split_generator)
File "/home/aclifton/anaconda3/lib/python3.7/site-packages/datasets/builder.py", line 905, in _prepare_split
example = self.info.features.encode_example(record)
File "/home/aclifton/anaconda3/lib/python3.7/site-packages/datasets/features.py", line 799, in encode_example
return encode_nested_example(self, example)
File "/home/aclifton/anaconda3/lib/python3.7/site-packages/datasets/features.py", line 710, in encode_nested_example
(k, encode_nested_example(sub_schema, sub_obj)) for k, (sub_schema, sub_obj) in utils.zip_dict(schema, obj)
File "/home/aclifton/anaconda3/lib/python3.7/site-packages/datasets/features.py", line 710, in <genexpr>
(k, encode_nested_example(sub_schema, sub_obj)) for k, (sub_schema, sub_obj) in utils.zip_dict(schema, obj)
File "/home/aclifton/anaconda3/lib/python3.7/site-packages/datasets/features.py", line 737, in encode_nested_example
return schema.encode_example(obj)
File "/home/aclifton/anaconda3/lib/python3.7/site-packages/datasets/features.py", line 522, in encode_example
example_data = self.str2int(example_data)
File "/home/aclifton/anaconda3/lib/python3.7/site-packages/datasets/features.py", line 481, in str2int
output.append(self._str2int[str(value)])
KeyError: "Some Cantonese don't like chili, so some southerners don't like chili."
``` | logiqa in english. | 242 | text: Logiqa en
logiqa in english.
To fix the branch issue, I went ahead and made a backup of the dataset then deleted my local copy of my fork of `datasets`. I then followed the [detailed guide](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md) from the beginning to reclone the fork and start a new branch.
However, when it came time to create the dummy data I got the following error:
```python
aclifton@pop-os:~/data/hf_datasets_sprint/datasets$ datasets-cli dummy_data ./datasets/logiqa_en --auto_generate --n_lines 32
2021-02-03 11:23:23.145885: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2021-02-03 11:23:23.145914: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Using custom data configuration default
Couldn't generate dummy file 'datasets/logiqa_en/dummy/1.1.0/dummy_data/master.zip/LogiQA-dataset-master/README.md'. Ignore that if this file is not useful for dummy data.
Traceback (most recent call last):
File "/home/aclifton/anaconda3/bin/datasets-cli", line 36, in <module>
service.run()
File "/home/aclifton/anaconda3/lib/python3.7/site-packages/datasets/commands/dummy_data.py", line 317, in run
keep_uncompressed=self._keep_uncompressed,
File "/home/aclifton/anaconda3/lib/python3.7/site-packages/datasets/commands/dummy_data.py", line 355, in _autogenerate_dummy_data
dataset_builder._prepare_split(split_generator)
File "/home/aclifton/anaconda3/lib/python3.7/site-packages/datasets/builder.py", line 905, in _prepare_split
example = self.info.features.encode_example(record)
File "/home/aclifton/anaconda3/lib/python3.7/site-packages/datasets/features.py", line 799, in encode_example
return encode_nested_example(self, example)
File "/home/aclifton/anaconda3/lib/python3.7/site-packages/datasets/features.py", line 710, in encode_nested_example
(k, encode_nested_example(sub_schema, sub_obj)) for k, (sub_schema, sub_obj) in utils.zip_dict(schema, obj)
File "/home/aclifton/anaconda3/lib/python3.7/site-packages/datasets/features.py", line 710, in <genexpr>
(k, encode_nested_example(sub_schema, sub_obj)) for k, (sub_schema, sub_obj) in utils.zip_dict(schema, obj)
File "/home/aclifton/anaconda3/lib/python3.7/site-packages/datasets/features.py", line 737, in encode_nested_example
return schema.encode_example(obj)
File "/home/aclifton/anaconda3/lib/python3.7/site-packages/datasets/features.py", line 522, in encode_example
example_data = self.str2int(example_data)
File "/home/aclifton/anaconda3/lib/python3.7/site-packages/datasets/features.py", line 481, in str2int
output.append(self._str2int[str(value)])
KeyError: "Some Cantonese don't like chili, so some southerners don't like chili."
``` | [
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https://github.com/huggingface/datasets/pull/1595 | Logiqa en | Hi ! The error happens when the script is verifying that the generated dummy data work fine with the dataset script.
Apparently it fails because the text `"Some Cantonese don't like chili, so some southerners don't like chili."` was given in a field that is a ClassLabel feature (probably the `answer` field), while it actually expects "a", "b", "c" or "d". Can you fix the script so that it returns the expected labels for this field instead of the text ?
Also it would be awesome to rename this field `answerKey` instead of `answer` to have the same column names as the other multiple-choice-QA datasets in the library :) | logiqa in english. | 109 | text: Logiqa en
logiqa in english.
Hi ! The error happens when the script is verifying that the generated dummy data work fine with the dataset script.
Apparently it fails because the text `"Some Cantonese don't like chili, so some southerners don't like chili."` was given in a field that is a ClassLabel feature (probably the `answer` field), while it actually expects "a", "b", "c" or "d". Can you fix the script so that it returns the expected labels for this field instead of the text ?
Also it would be awesome to rename this field `answerKey` instead of `answer` to have the same column names as the other multiple-choice-QA datasets in the library :) | [
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https://github.com/huggingface/datasets/pull/1595 | Logiqa en | Ok getting closer! I got the dummy data to work. However I am now getting the following error:
```python
aclifton@pop-os:~/data/hf_datasets_sprint/datasets$ RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_real_dataset_logiqa_en
===================================================================== test session starts ======================================================================
platform linux -- Python 3.7.6, pytest-5.3.5, py-1.8.1, pluggy-0.13.1
rootdir: /home/aclifton/data/hf_datasets_sprint/datasets
plugins: astropy-header-0.1.2, xdist-2.1.0, doctestplus-0.5.0, forked-1.3.0, hypothesis-5.5.4, arraydiff-0.3, remotedata-0.3.2, openfiles-0.4.0
collected 0 items / 1 error
============================================================================ ERRORS ============================================================================
________________________________________________________ ERROR collecting tests/test_dataset_common.py _________________________________________________________
ImportError while importing test module '/home/aclifton/data/hf_datasets_sprint/datasets/tests/test_dataset_common.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
tests/test_dataset_common.py:42: in <module>
from datasets.packaged_modules import _PACKAGED_DATASETS_MODULES
E ModuleNotFoundError: No module named 'datasets.packaged_modules'
----------------------------------------------------------------------- Captured stderr ------------------------------------------------------------------------
2021-02-10 11:06:14.345510: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2021-02-10 11:06:14.345551: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
======================================================================= warnings summary =======================================================================
/home/aclifton/anaconda3/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21
/home/aclifton/anaconda3/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
import imp
/home/aclifton/anaconda3/lib/python3.7/site-packages/apache_beam/typehints/typehints.py:693
/home/aclifton/anaconda3/lib/python3.7/site-packages/apache_beam/typehints/typehints.py:693: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3,and in 3.9 it will stop working
if not isinstance(type_params, collections.Iterable):
/home/aclifton/anaconda3/lib/python3.7/site-packages/apache_beam/typehints/typehints.py:532
/home/aclifton/anaconda3/lib/python3.7/site-packages/apache_beam/typehints/typehints.py:532: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3,and in 3.9 it will stop working
if not isinstance(type_params, (collections.Sequence, set)):
/home/aclifton/anaconda3/lib/python3.7/site-packages/elasticsearch/compat.py:38
/home/aclifton/anaconda3/lib/python3.7/site-packages/elasticsearch/compat.py:38: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3,and in 3.9 it will stop working
from collections import Mapping
-- Docs: https://docs.pytest.org/en/latest/warnings.html
================================================================= 4 warnings, 1 error in 2.74s =================================================================
ERROR: not found: /home/aclifton/data/hf_datasets_sprint/datasets/tests/test_dataset_common.py::LocalDatasetTest::test_load_real_dataset_logiqa_en
(no name '/home/aclifton/data/hf_datasets_sprint/datasets/tests/test_dataset_common.py::LocalDatasetTest::test_load_real_dataset_logiqa_en' in any of [<Module test_dataset_common.py>])
``` | logiqa in english. | 274 | text: Logiqa en
logiqa in english.
Ok getting closer! I got the dummy data to work. However I am now getting the following error:
```python
aclifton@pop-os:~/data/hf_datasets_sprint/datasets$ RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_real_dataset_logiqa_en
===================================================================== test session starts ======================================================================
platform linux -- Python 3.7.6, pytest-5.3.5, py-1.8.1, pluggy-0.13.1
rootdir: /home/aclifton/data/hf_datasets_sprint/datasets
plugins: astropy-header-0.1.2, xdist-2.1.0, doctestplus-0.5.0, forked-1.3.0, hypothesis-5.5.4, arraydiff-0.3, remotedata-0.3.2, openfiles-0.4.0
collected 0 items / 1 error
============================================================================ ERRORS ============================================================================
________________________________________________________ ERROR collecting tests/test_dataset_common.py _________________________________________________________
ImportError while importing test module '/home/aclifton/data/hf_datasets_sprint/datasets/tests/test_dataset_common.py'.
Hint: make sure your test modules/packages have valid Python names.
Traceback:
tests/test_dataset_common.py:42: in <module>
from datasets.packaged_modules import _PACKAGED_DATASETS_MODULES
E ModuleNotFoundError: No module named 'datasets.packaged_modules'
----------------------------------------------------------------------- Captured stderr ------------------------------------------------------------------------
2021-02-10 11:06:14.345510: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2021-02-10 11:06:14.345551: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
======================================================================= warnings summary =======================================================================
/home/aclifton/anaconda3/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21
/home/aclifton/anaconda3/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
import imp
/home/aclifton/anaconda3/lib/python3.7/site-packages/apache_beam/typehints/typehints.py:693
/home/aclifton/anaconda3/lib/python3.7/site-packages/apache_beam/typehints/typehints.py:693: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3,and in 3.9 it will stop working
if not isinstance(type_params, collections.Iterable):
/home/aclifton/anaconda3/lib/python3.7/site-packages/apache_beam/typehints/typehints.py:532
/home/aclifton/anaconda3/lib/python3.7/site-packages/apache_beam/typehints/typehints.py:532: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3,and in 3.9 it will stop working
if not isinstance(type_params, (collections.Sequence, set)):
/home/aclifton/anaconda3/lib/python3.7/site-packages/elasticsearch/compat.py:38
/home/aclifton/anaconda3/lib/python3.7/site-packages/elasticsearch/compat.py:38: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated since Python 3.3,and in 3.9 it will stop working
from collections import Mapping
-- Docs: https://docs.pytest.org/en/latest/warnings.html
================================================================= 4 warnings, 1 error in 2.74s =================================================================
ERROR: not found: /home/aclifton/data/hf_datasets_sprint/datasets/tests/test_dataset_common.py::LocalDatasetTest::test_load_real_dataset_logiqa_en
(no name '/home/aclifton/data/hf_datasets_sprint/datasets/tests/test_dataset_common.py::LocalDatasetTest::test_load_real_dataset_logiqa_en' in any of [<Module test_dataset_common.py>])
``` | [
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https://github.com/huggingface/datasets/pull/1595 | Logiqa en | Hi ! It looks like the version of `datasets` that is installed in your environment doesn't match the version of `datasets` you're using for the tests. Can you try uninstalling datasets and reinstall it again ?
```
pip uninstall datasets -y
pip install -e .
``` | logiqa in english. | 46 | text: Logiqa en
logiqa in english.
Hi ! It looks like the version of `datasets` that is installed in your environment doesn't match the version of `datasets` you're using for the tests. Can you try uninstalling datasets and reinstall it again ?
```
pip uninstall datasets -y
pip install -e .
``` | [
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] |
https://github.com/huggingface/datasets/pull/1595 | Logiqa en | Closer still!
```python
aclifton@pop-os:~/data/hf_datasets_sprint/datasets$ git commit
[logiqa_en 2664fe7f] fixed several issues with logiqa_en.
4 files changed, 324 insertions(+)
create mode 100644 datasets/logiqa_en/README.md
create mode 100644 datasets/logiqa_en/dataset_infos.json
create mode 100644 datasets/logiqa_en/dummy/1.1.0/dummy_data.zip
create mode 100644 datasets/logiqa_en/logiqa_en.py
aclifton@pop-os:~/data/hf_datasets_sprint/datasets$ git fetch upstream
remote: Enumerating objects: 1, done.
remote: Counting objects: 100% (1/1), done.
remote: Total 1 (delta 0), reused 0 (delta 0), pack-reused 0
Unpacking objects: 100% (1/1), 590 bytes | 590.00 KiB/s, done.
From https://github.com/huggingface/datasets
6e114a0c..318b09eb master -> upstream/master
aclifton@pop-os:~/data/hf_datasets_sprint/datasets$ git rebase upstream/master
error: cannot rebase: You have unstaged changes.
error: Please commit or stash them.
aclifton@pop-os:~/data/hf_datasets_sprint/datasets$ git push -u origin logiqa_en
Username for 'https://github.com': aclifton314
Password for 'https://aclifton314@github.com':
To https://github.com/aclifton314/datasets
! [rejected] logiqa_en -> logiqa_en (non-fast-forward)
error: failed to push some refs to 'https://github.com/aclifton314/datasets'
hint: Updates were rejected because the tip of your current branch is behind
hint: its remote counterpart. Integrate the remote changes (e.g.
hint: 'git pull ...') before pushing again.
hint: See the 'Note about fast-forwards' in 'git push --help' for details.
``` | logiqa in english. | 164 | text: Logiqa en
logiqa in english.
Closer still!
```python
aclifton@pop-os:~/data/hf_datasets_sprint/datasets$ git commit
[logiqa_en 2664fe7f] fixed several issues with logiqa_en.
4 files changed, 324 insertions(+)
create mode 100644 datasets/logiqa_en/README.md
create mode 100644 datasets/logiqa_en/dataset_infos.json
create mode 100644 datasets/logiqa_en/dummy/1.1.0/dummy_data.zip
create mode 100644 datasets/logiqa_en/logiqa_en.py
aclifton@pop-os:~/data/hf_datasets_sprint/datasets$ git fetch upstream
remote: Enumerating objects: 1, done.
remote: Counting objects: 100% (1/1), done.
remote: Total 1 (delta 0), reused 0 (delta 0), pack-reused 0
Unpacking objects: 100% (1/1), 590 bytes | 590.00 KiB/s, done.
From https://github.com/huggingface/datasets
6e114a0c..318b09eb master -> upstream/master
aclifton@pop-os:~/data/hf_datasets_sprint/datasets$ git rebase upstream/master
error: cannot rebase: You have unstaged changes.
error: Please commit or stash them.
aclifton@pop-os:~/data/hf_datasets_sprint/datasets$ git push -u origin logiqa_en
Username for 'https://github.com': aclifton314
Password for 'https://aclifton314@github.com':
To https://github.com/aclifton314/datasets
! [rejected] logiqa_en -> logiqa_en (non-fast-forward)
error: failed to push some refs to 'https://github.com/aclifton314/datasets'
hint: Updates were rejected because the tip of your current branch is behind
hint: its remote counterpart. Integrate the remote changes (e.g.
hint: 'git pull ...') before pushing again.
hint: See the 'Note about fast-forwards' in 'git push --help' for details.
``` | [
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https://github.com/huggingface/datasets/pull/1589 | Update doc2dial.py | Thanks for adding the `doc2dial_rc` config :)
It looks like you're missing the dummy data for this config though. Could you add them please ?
Also to fix the CI you'll need to format the code with `make style` | Added data loader for machine reading comprehension tasks proposed in the Doc2Dial EMNLP 2020 paper. | 39 | text: Update doc2dial.py
Added data loader for machine reading comprehension tasks proposed in the Doc2Dial EMNLP 2020 paper.
Thanks for adding the `doc2dial_rc` config :)
It looks like you're missing the dummy data for this config though. Could you add them please ?
Also to fix the CI you'll need to format the code with `make style` | [
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https://github.com/huggingface/datasets/pull/1586 | added irc disentangle dataset | @lhoestq Thank you for the feedback. I wondering whether I should be passing an 'id' field in the dictionary since the 'connections' reference the 'id' of the linked messages. This 'id' would just be the same as the id_ that is in the yielded tuple. | added irc disentanglement dataset | 45 | text: added irc disentangle dataset
added irc disentanglement dataset
@lhoestq Thank you for the feedback. I wondering whether I should be passing an 'id' field in the dictionary since the 'connections' reference the 'id' of the linked messages. This 'id' would just be the same as the id_ that is in the yielded tuple. | [
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https://github.com/huggingface/datasets/pull/1586 | added irc disentangle dataset | Yes indeed it would be cool to have the ids in the dictionary. This way the dataset can be shuffled and all without losing information about the connections. Can you add it if you don't mind ? | added irc disentanglement dataset | 37 | text: added irc disentangle dataset
added irc disentanglement dataset
Yes indeed it would be cool to have the ids in the dictionary. This way the dataset can be shuffled and all without losing information about the connections. Can you add it if you don't mind ? | [
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https://github.com/huggingface/datasets/pull/1586 | added irc disentangle dataset | Thanks :) could you also add the ids in the dictionary since they're useful for the connection links ? | added irc disentanglement dataset | 19 | text: added irc disentangle dataset
added irc disentanglement dataset
Thanks :) could you also add the ids in the dictionary since they're useful for the connection links ? | [
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https://github.com/huggingface/datasets/pull/1586 | added irc disentangle dataset | Thanks !
Also it looks like the dummy_data.zip were regenerated and are now back to being too big (300KB each).
Can you reduce their sizes ? You can actually just revert to the ones you had before the last commit | added irc disentanglement dataset | 40 | text: added irc disentangle dataset
added irc disentanglement dataset
Thanks !
Also it looks like the dummy_data.zip were regenerated and are now back to being too big (300KB each).
Can you reduce their sizes ? You can actually just revert to the ones you had before the last commit | [
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https://github.com/huggingface/datasets/pull/1579 | Adding CLIMATE-FEVER dataset | I `git rebase`ed my branch to `upstream/master` as suggested in point 7 of <https://huggingface.co/docs/datasets/share_dataset.html> and subsequently used `git pull` to be able to push to my remote branch. However, I think this messed up the history.
Please let me know if I should create a clean new PR with my changes.
Update: I also fixed the dataset name in the Dataset Card. | This PR request the addition of the CLIMATE-FEVER dataset:
A dataset adopting the FEVER methodology that consists of 1,535 real-world claims regarding climate-change collected on the internet. Each claim is accompanied by five manually annotated evidence sentences retrieved from the English Wikipedia that support, refute or do not give enough information to validate the claim totalling in 7,675 claim-evidence pairs. The dataset features challenging claims that relate multiple facets and disputed cases of claims where both supporting and refuting evidence are present.
More information can be found at:
- Homepage: <http://climatefever.ai>
- Paper: <https://arxiv.org/abs/2012.00614>
| 62 | text: Adding CLIMATE-FEVER dataset
This PR request the addition of the CLIMATE-FEVER dataset:
A dataset adopting the FEVER methodology that consists of 1,535 real-world claims regarding climate-change collected on the internet. Each claim is accompanied by five manually annotated evidence sentences retrieved from the English Wikipedia that support, refute or do not give enough information to validate the claim totalling in 7,675 claim-evidence pairs. The dataset features challenging claims that relate multiple facets and disputed cases of claims where both supporting and refuting evidence are present.
More information can be found at:
- Homepage: <http://climatefever.ai>
- Paper: <https://arxiv.org/abs/2012.00614>
I `git rebase`ed my branch to `upstream/master` as suggested in point 7 of <https://huggingface.co/docs/datasets/share_dataset.html> and subsequently used `git pull` to be able to push to my remote branch. However, I think this messed up the history.
Please let me know if I should create a clean new PR with my changes.
Update: I also fixed the dataset name in the Dataset Card. | [
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https://github.com/huggingface/datasets/pull/1579 | Adding CLIMATE-FEVER dataset | Dear @SBrandeis , @lhoestq . I am not sure how to fix the PR with respect to the additional files that are currently included in the commits. Could you provide me with an example? Otherwise I would be happy to close/re-open another PR. Please let me know if anything is missing for the review. | This PR request the addition of the CLIMATE-FEVER dataset:
A dataset adopting the FEVER methodology that consists of 1,535 real-world claims regarding climate-change collected on the internet. Each claim is accompanied by five manually annotated evidence sentences retrieved from the English Wikipedia that support, refute or do not give enough information to validate the claim totalling in 7,675 claim-evidence pairs. The dataset features challenging claims that relate multiple facets and disputed cases of claims where both supporting and refuting evidence are present.
More information can be found at:
- Homepage: <http://climatefever.ai>
- Paper: <https://arxiv.org/abs/2012.00614>
| 54 | text: Adding CLIMATE-FEVER dataset
This PR request the addition of the CLIMATE-FEVER dataset:
A dataset adopting the FEVER methodology that consists of 1,535 real-world claims regarding climate-change collected on the internet. Each claim is accompanied by five manually annotated evidence sentences retrieved from the English Wikipedia that support, refute or do not give enough information to validate the claim totalling in 7,675 claim-evidence pairs. The dataset features challenging claims that relate multiple facets and disputed cases of claims where both supporting and refuting evidence are present.
More information can be found at:
- Homepage: <http://climatefever.ai>
- Paper: <https://arxiv.org/abs/2012.00614>
Dear @SBrandeis , @lhoestq . I am not sure how to fix the PR with respect to the additional files that are currently included in the commits. Could you provide me with an example? Otherwise I would be happy to close/re-open another PR. Please let me know if anything is missing for the review. | [
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https://github.com/huggingface/datasets/pull/1579 | Adding CLIMATE-FEVER dataset | Hi @tdiggelm, thanks for the contribution! This dataset is really awesome.
I believe creating a new branch from master and opening a new PR with your changes is the simplest option since no review has been done yet. Feel free to ping us when it's done. | This PR request the addition of the CLIMATE-FEVER dataset:
A dataset adopting the FEVER methodology that consists of 1,535 real-world claims regarding climate-change collected on the internet. Each claim is accompanied by five manually annotated evidence sentences retrieved from the English Wikipedia that support, refute or do not give enough information to validate the claim totalling in 7,675 claim-evidence pairs. The dataset features challenging claims that relate multiple facets and disputed cases of claims where both supporting and refuting evidence are present.
More information can be found at:
- Homepage: <http://climatefever.ai>
- Paper: <https://arxiv.org/abs/2012.00614>
| 46 | text: Adding CLIMATE-FEVER dataset
This PR request the addition of the CLIMATE-FEVER dataset:
A dataset adopting the FEVER methodology that consists of 1,535 real-world claims regarding climate-change collected on the internet. Each claim is accompanied by five manually annotated evidence sentences retrieved from the English Wikipedia that support, refute or do not give enough information to validate the claim totalling in 7,675 claim-evidence pairs. The dataset features challenging claims that relate multiple facets and disputed cases of claims where both supporting and refuting evidence are present.
More information can be found at:
- Homepage: <http://climatefever.ai>
- Paper: <https://arxiv.org/abs/2012.00614>
Hi @tdiggelm, thanks for the contribution! This dataset is really awesome.
I believe creating a new branch from master and opening a new PR with your changes is the simplest option since no review has been done yet. Feel free to ping us when it's done. | [
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https://github.com/huggingface/datasets/pull/1579 | Adding CLIMATE-FEVER dataset | > Hi @tdiggelm, thanks for the contribution! This dataset is really awesome.
> I believe creating a new branch from master and opening a new PR with your changes is the simplest option since no review has been done yet. Feel free to ping us when it's done.
Thank you very much for your quick reply! Will do ASAP and ping you when done. | This PR request the addition of the CLIMATE-FEVER dataset:
A dataset adopting the FEVER methodology that consists of 1,535 real-world claims regarding climate-change collected on the internet. Each claim is accompanied by five manually annotated evidence sentences retrieved from the English Wikipedia that support, refute or do not give enough information to validate the claim totalling in 7,675 claim-evidence pairs. The dataset features challenging claims that relate multiple facets and disputed cases of claims where both supporting and refuting evidence are present.
More information can be found at:
- Homepage: <http://climatefever.ai>
- Paper: <https://arxiv.org/abs/2012.00614>
| 64 | text: Adding CLIMATE-FEVER dataset
This PR request the addition of the CLIMATE-FEVER dataset:
A dataset adopting the FEVER methodology that consists of 1,535 real-world claims regarding climate-change collected on the internet. Each claim is accompanied by five manually annotated evidence sentences retrieved from the English Wikipedia that support, refute or do not give enough information to validate the claim totalling in 7,675 claim-evidence pairs. The dataset features challenging claims that relate multiple facets and disputed cases of claims where both supporting and refuting evidence are present.
More information can be found at:
- Homepage: <http://climatefever.ai>
- Paper: <https://arxiv.org/abs/2012.00614>
> Hi @tdiggelm, thanks for the contribution! This dataset is really awesome.
> I believe creating a new branch from master and opening a new PR with your changes is the simplest option since no review has been done yet. Feel free to ping us when it's done.
Thank you very much for your quick reply! Will do ASAP and ping you when done. | [
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https://github.com/huggingface/datasets/pull/1577 | Add comet metric | I also thought a bit about the fact that "sources" can't be added to the batch.. but changing that would require a lot more changes. And I agree that the idea of adding them as part of the references is not ideal. Conceptually they are not references.
I would keep it like this for now.. And in the future, work on a more consistent batch interface. | Hey! I decided to add our new Crosslingual Optimized Metric for Evaluation of Translation (COMET) to the list of the available metrics.
COMET was [presented at EMNLP20](https://www.aclweb.org/anthology/2020.emnlp-main.213/) and it is the highest performing metric, so far, on the WMT19 benchmark.
We also participated in the [WMT20 Metrics shared task ](http://www.statmt.org/wmt20/pdf/2020.wmt-1.101.pdf) where once again COMET was validated as a top-performing metric.
I hope that this metric will help researcher's and industry workers to better validate their MT systems in the future 🤗 !
Cheers,
Ricardo
| 66 | text: Add comet metric
Hey! I decided to add our new Crosslingual Optimized Metric for Evaluation of Translation (COMET) to the list of the available metrics.
COMET was [presented at EMNLP20](https://www.aclweb.org/anthology/2020.emnlp-main.213/) and it is the highest performing metric, so far, on the WMT19 benchmark.
We also participated in the [WMT20 Metrics shared task ](http://www.statmt.org/wmt20/pdf/2020.wmt-1.101.pdf) where once again COMET was validated as a top-performing metric.
I hope that this metric will help researcher's and industry workers to better validate their MT systems in the future 🤗 !
Cheers,
Ricardo
I also thought a bit about the fact that "sources" can't be added to the batch.. but changing that would require a lot more changes. And I agree that the idea of adding them as part of the references is not ideal. Conceptually they are not references.
I would keep it like this for now.. And in the future, work on a more consistent batch interface. | [
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https://github.com/huggingface/datasets/pull/1575 | Hind_Encorp all done | I did that again it gives the same output all done and then I synchronized my changes with this branch | 20 | text: Hind_Encorp all done
I did that again it gives the same output all done and then I synchronized my changes with this branch | [
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|
https://github.com/huggingface/datasets/pull/1575 | Hind_Encorp all done | @lhoestq i did all the changes you suggested but at the time of load_dataset it is giving me error
`**`datasets.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train', num_bytes=76591256, num_examples=1, dataset_name='hind_encorp'), 'recorded': SplitInfo(name='train', num_bytes=78945714, num_examples=273885, dataset_name='hind_encorp')}]`**` | 30 | text: Hind_Encorp all done
@lhoestq i did all the changes you suggested but at the time of load_dataset it is giving me error
`**`datasets.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train', num_bytes=76591256, num_examples=1, dataset_name='hind_encorp'), 'recorded': SplitInfo(name='train', num_bytes=78945714, num_examples=273885, dataset_name='hind_encorp')}]`**` | [
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|
https://github.com/huggingface/datasets/pull/1575 | Hind_Encorp all done |
I cloned the branch and it seems to work fine at my end. try to clear the cache -
```
rm -rf /home/ubuntu/.cache/huggingface/datasets/
rm -rf /home/ubuntu/.cache/huggingface/modules/datasets_modules//datasets/
```
But the dataset has only one record. Is that correct?
| 38 | text: Hind_Encorp all done
I cloned the branch and it seems to work fine at my end. try to clear the cache -
```
rm -rf /home/ubuntu/.cache/huggingface/datasets/
rm -rf /home/ubuntu/.cache/huggingface/modules/datasets_modules//datasets/
```
But the dataset has only one record. Is that correct?
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|
https://github.com/huggingface/datasets/pull/1575 | Hind_Encorp all done | > @lhoestq i did all the changes you suggested but at the time of load_dataset it is giving me error
> `**`datasets.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train', num_bytes=76591256, num_examples=1, dataset_name='hind_encorp'), 'recorded': SplitInfo(name='train', num_bytes=78945714, num_examples=273885, dataset_name='hind_encorp')}]`**`
You can ignore this error by adding `ignore_verifications=True` to `load_dataset`.
This error is raised because you're loading a dataset that you've already loaded once in the past. Therefore the library does some verifications to make sure it's generated the same way.
However since you've done changes in the dataset script you should ignore these verifications.
You can regenerate the dataset_infos.json with
```
datasets-cli test ./datasets/hindi_encorp --save_infos --all_configs --ignore_verifications
```
> I cloned the branch and it seems to work fine at my end. try to clear the cache -
>
> ```
> rm -rf /home/ubuntu/.cache/huggingface/datasets/
> rm -rf /home/ubuntu/.cache/huggingface/modules/datasets_modules//datasets/
> ```
>
> But the dataset has only one record. Is that correct?
> 
Yes the current parsing is wrong, I've already given @rahul-art some suggestions and it looks like it works way better now (num_examples=273885).
Thanks for fixing the parsing @rahul-art !
Feel free to commit and push your changes once it's ready :) | 189 | text: Hind_Encorp all done
> @lhoestq i did all the changes you suggested but at the time of load_dataset it is giving me error
> `**`datasets.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train', num_bytes=76591256, num_examples=1, dataset_name='hind_encorp'), 'recorded': SplitInfo(name='train', num_bytes=78945714, num_examples=273885, dataset_name='hind_encorp')}]`**`
You can ignore this error by adding `ignore_verifications=True` to `load_dataset`.
This error is raised because you're loading a dataset that you've already loaded once in the past. Therefore the library does some verifications to make sure it's generated the same way.
However since you've done changes in the dataset script you should ignore these verifications.
You can regenerate the dataset_infos.json with
```
datasets-cli test ./datasets/hindi_encorp --save_infos --all_configs --ignore_verifications
```
> I cloned the branch and it seems to work fine at my end. try to clear the cache -
>
> ```
> rm -rf /home/ubuntu/.cache/huggingface/datasets/
> rm -rf /home/ubuntu/.cache/huggingface/modules/datasets_modules//datasets/
> ```
>
> But the dataset has only one record. Is that correct?
> 
Yes the current parsing is wrong, I've already given @rahul-art some suggestions and it looks like it works way better now (num_examples=273885).
Thanks for fixing the parsing @rahul-art !
Feel free to commit and push your changes once it's ready :) | [
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|
https://github.com/huggingface/datasets/pull/1575 | Hind_Encorp all done | i ran the command you provided datasets-cli test ./datasets/hindi_encorp --save_infos --all_configs --ignore_verifications
but now its giving this error @lhoestq
FileNotFoundError: Couldn't find file locally at ./datasets/hindi_encorp/hindi_encorp.py, or remotely at https://raw.githubusercontent.com/huggingface/datasets/master/datasets/./datasets/hindi_encorp/hindi_encorp.py or https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/./datasets/hindi_encorp/hindi_encorp.py.
If the dataset was added recently, you may need to to pass script_version="master" to find the loading script on the master branch.
| 54 | text: Hind_Encorp all done
i ran the command you provided datasets-cli test ./datasets/hindi_encorp --save_infos --all_configs --ignore_verifications
but now its giving this error @lhoestq
FileNotFoundError: Couldn't find file locally at ./datasets/hindi_encorp/hindi_encorp.py, or remotely at https://raw.githubusercontent.com/huggingface/datasets/master/datasets/./datasets/hindi_encorp/hindi_encorp.py or https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/./datasets/hindi_encorp/hindi_encorp.py.
If the dataset was added recently, you may need to to pass script_version="master" to find the loading script on the master branch.
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|
https://github.com/huggingface/datasets/pull/1568 | Added the dataset clickbait_news_bg | Hi @tsvm Great work!
Since you have raised a clean PR could you close the earlier one - #1445 ?
| There was a problem with my [previous PR 1445](https://github.com/huggingface/datasets/pull/1445) after rebasing, so I'm copying the dataset code into a new branch and submitting a new PR. | 20 | text: Added the dataset clickbait_news_bg
There was a problem with my [previous PR 1445](https://github.com/huggingface/datasets/pull/1445) after rebasing, so I'm copying the dataset code into a new branch and submitting a new PR.
Hi @tsvm Great work!
Since you have raised a clean PR could you close the earlier one - #1445 ?
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https://github.com/huggingface/datasets/pull/1568 | Added the dataset clickbait_news_bg | > Hi @tsvm Great work!
> Since you have raised a clean PR could you close the earlier one - #1445 ?
Done. | There was a problem with my [previous PR 1445](https://github.com/huggingface/datasets/pull/1445) after rebasing, so I'm copying the dataset code into a new branch and submitting a new PR. | 23 | text: Added the dataset clickbait_news_bg
There was a problem with my [previous PR 1445](https://github.com/huggingface/datasets/pull/1445) after rebasing, so I'm copying the dataset code into a new branch and submitting a new PR.
> Hi @tsvm Great work!
> Since you have raised a clean PR could you close the earlier one - #1445 ?
Done. | [
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https://github.com/huggingface/datasets/pull/1566 | Add Microsoft Research Sequential Question Answering (SQA) Dataset | I proposed something a few weeks ago in #898 (un-merged) but I think that the way that @mattbui added the dataset in the present PR is smarter and simpler should replace my PR #898.
(Narrator voice: *And it was around that time that Thomas realized that the community was now a lot smarter than him and he should hand-over the library he had started with @lhoestq to the community and stop pretending he knew everything about it.*) | For more information: https://msropendata.com/datasets/b25190ed-0f59-47b1-9211-5962858142c2 | 77 | text: Add Microsoft Research Sequential Question Answering (SQA) Dataset
For more information: https://msropendata.com/datasets/b25190ed-0f59-47b1-9211-5962858142c2
I proposed something a few weeks ago in #898 (un-merged) but I think that the way that @mattbui added the dataset in the present PR is smarter and simpler should replace my PR #898.
(Narrator voice: *And it was around that time that Thomas realized that the community was now a lot smarter than him and he should hand-over the library he had started with @lhoestq to the community and stop pretending he knew everything about it.*) | [
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https://github.com/huggingface/datasets/pull/1565 | Create README.md | @ManuelFay thanks you so much for adding a dataset card, this is such a cool contribution!
This looks like it uses an old template for the card we've moved things around a bit and we have an app you should be using to get the tags and the structure of the Data Fields paragraph :) Would you mind moving your text to the newer format (we're also asking contributors to keep the full template structure, even if some sections still have [More Information Needed] for the time being)
Here's the link to the instructions:
https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md#tag-the-dataset-and-write-the-dataset-card
Out of curiosity, what was your landing point for filling out the card? Did you follow the "Update on Github" when navigating the datasets? Trying to make the instructions as clear as possible :) | 129 | text: Create README.md
@ManuelFay thanks you so much for adding a dataset card, this is such a cool contribution!
This looks like it uses an old template for the card we've moved things around a bit and we have an app you should be using to get the tags and the structure of the Data Fields paragraph :) Would you mind moving your text to the newer format (we're also asking contributors to keep the full template structure, even if some sections still have [More Information Needed] for the time being)
Here's the link to the instructions:
https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md#tag-the-dataset-and-write-the-dataset-card
Out of curiosity, what was your landing point for filling out the card? Did you follow the "Update on Github" when navigating the datasets? Trying to make the instructions as clear as possible :) | [
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|
https://github.com/huggingface/datasets/pull/1565 | Create README.md | @yjernite
Perfect, I'll follow the instructions when I have a bit more time tomorrow ! I was actually browsing the new contributions after the dataset sprint and realized most of the "old" datasets were not tagged, so I just copied and pasted the readme from another dataset and was not aware there was precise instructions... Will fix !
BTW, amazing job with the retriBert work, I used the contrastive + in-batch negative quite a bit for various projects. Probably neither the time nor place to talk about that but I was curious as to why, in your original work, you prefered using a simple projection in the last layer to differentiate the question vs answer embedding, rather than allowing for bias in the dense layer or even just to fine-tune 2 different embedders for question + answer ? | 138 | text: Create README.md
@yjernite
Perfect, I'll follow the instructions when I have a bit more time tomorrow ! I was actually browsing the new contributions after the dataset sprint and realized most of the "old" datasets were not tagged, so I just copied and pasted the readme from another dataset and was not aware there was precise instructions... Will fix !
BTW, amazing job with the retriBert work, I used the contrastive + in-batch negative quite a bit for various projects. Probably neither the time nor place to talk about that but I was curious as to why, in your original work, you prefered using a simple projection in the last layer to differentiate the question vs answer embedding, rather than allowing for bias in the dense layer or even just to fine-tune 2 different embedders for question + answer ? | [
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|
https://github.com/huggingface/datasets/pull/1565 | Create README.md | Cool! Looking forward to the next version!
Quick answer for retriBERT is that I expected a simple projection to generalize better and more importantly only having to store the gradients for the proj means training with larger batches :) If you want to keep chatting about it, feel free to send me an email! | 54 | text: Create README.md
Cool! Looking forward to the next version!
Quick answer for retriBERT is that I expected a simple projection to generalize better and more importantly only having to store the gradients for the proj means training with larger batches :) If you want to keep chatting about it, feel free to send me an email! | [
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|
https://github.com/huggingface/datasets/pull/1565 | Create README.md | Hi @ManuelFay !
If you're still interested in completing the FQuAD dataset card, note that we've generated one that is pre-filled.
Therefore feel free to complete it with the content you already have in your README.md.
This would be awesome ! And thanks again for your contribution :) | 48 | text: Create README.md
Hi @ManuelFay !
If you're still interested in completing the FQuAD dataset card, note that we've generated one that is pre-filled.
Therefore feel free to complete it with the content you already have in your README.md.
This would be awesome ! And thanks again for your contribution :) | [
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|
https://github.com/huggingface/datasets/pull/1565 | Create README.md | Yo @lhoestq , just not sure about the tag table at the top, I used @yjernite eli5 template so hope it's okay ! Also want to signal the streamlit app for dataset tagging has a weird behavior with the size categories when filling in the form.
Thanks to you guys for doing that and sorry about the time it took, i completely forgot about it !
| 66 | text: Create README.md
Yo @lhoestq , just not sure about the tag table at the top, I used @yjernite eli5 template so hope it's okay ! Also want to signal the streamlit app for dataset tagging has a weird behavior with the size categories when filling in the form.
Thanks to you guys for doing that and sorry about the time it took, i completely forgot about it !
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|
https://github.com/huggingface/datasets/pull/1564 | added saudinewsnet | Hi @abdulelahsm - This is an interesting dataset! But there are multiple issues with the PR. Some of them are listed below:
- default builder config is not defined. There should be atleast one builder config
- URL is incorrectly constructed so the data files are not being downloaded
- dataset_info.json file was not created
Please have a look at some existing merged datasets to get a reference on building the data loader. If you are still stuck, reach out.
| I'm having issues in creating the dummy data. I'm still investigating how to fix it. I'll close the PR if I couldn't find a solution | 80 | text: added saudinewsnet
I'm having issues in creating the dummy data. I'm still investigating how to fix it. I'll close the PR if I couldn't find a solution
Hi @abdulelahsm - This is an interesting dataset! But there are multiple issues with the PR. Some of them are listed below:
- default builder config is not defined. There should be atleast one builder config
- URL is incorrectly constructed so the data files are not being downloaded
- dataset_info.json file was not created
Please have a look at some existing merged datasets to get a reference on building the data loader. If you are still stuck, reach out.
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https://github.com/huggingface/datasets/pull/1564 | added saudinewsnet | Hi @abdulelahsm ! Thanks for adding this one :)
you don't actually have to add builder configurations if you don't need them. It's fine as it is now
And as @skyprince999 noticed, the current URLs don't work. to download files.
You can use this one for example for the first batch instead:
https://github.com/parallelfold/SaudiNewsNet/raw/master/dataset/2015-07-21.zip
Feel free to ping me if you have questions or if you're ready for a review :) | I'm having issues in creating the dummy data. I'm still investigating how to fix it. I'll close the PR if I couldn't find a solution | 70 | text: added saudinewsnet
I'm having issues in creating the dummy data. I'm still investigating how to fix it. I'll close the PR if I couldn't find a solution
Hi @abdulelahsm ! Thanks for adding this one :)
you don't actually have to add builder configurations if you don't need them. It's fine as it is now
And as @skyprince999 noticed, the current URLs don't work. to download files.
You can use this one for example for the first batch instead:
https://github.com/parallelfold/SaudiNewsNet/raw/master/dataset/2015-07-21.zip
Feel free to ping me if you have questions or if you're ready for a review :) | [
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https://github.com/huggingface/datasets/pull/1564 | added saudinewsnet | @lhoestq Hey, I tried using the first batch instead, the data was downloaded but I got this error, not sure why it can't find the path?
for content, I ran ``` "./datasets/saudinewsnet/test.py"```
which is a local test I'm running for the dataset, it contains the following code
```
from datasets import load_dataset
data = load_dataset("./datasets/saudinewsnet", split= "train")
print(data)
print(data[1])
```
this is the error I got
```
2020-12-18 21:45:39.403908: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-12-18 21:45:39.403953: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Using custom data configuration default
Downloading and preparing dataset saudi_news_net/default (download: Unknown size, generated: Unknown size, post-processed: Unknown size, total: Unknown size) to /home/mesfas/.cache/huggingface/datasets/saudi_news_net/default/0.0.0/62ece5ef0a991415352d4b1efac681d75b5b3404064fd4f6a1d659499dab18f4...
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3.42M/3.42M [00:03<00:00, 1.03MB/s]
Traceback (most recent call last):
File "/home/mesfas/opensource/datasets/src/datasets/builder.py", line 604, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/home/mesfas/opensource/datasets/src/datasets/builder.py", line 902, in _prepare_split
for key, record in utils.tqdm(
File "/home/mesfas/environments/ar_res_reviews/lib/python3.8/site-packages/tqdm/std.py", line 1133, in __iter__
for obj in iterable:
File "/home/mesfas/.cache/huggingface/modules/datasets_modules/datasets/saudinewsnet/62ece5ef0a991415352d4b1efac681d75b5b3404064fd4f6a1d659499dab18f4/saudinewsnet.py", line 108, in _generate_examples
with open(filepath, encoding="utf-8").read() as f:
IsADirectoryError: [Errno 21] Is a directory: '/home/mesfas/.cache/huggingface/datasets/downloads/extracted/314fd983aa07d3dada9429911a805270c3285f48759d3584a1343c2d86260765'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "./datasets/saudinewsnet/test.py", line 3, in <module>
data = load_dataset("./datasets/saudinewsnet", split= "train")
File "/home/mesfas/opensource/datasets/src/datasets/load.py", line 607, in load_dataset
builder_instance.download_and_prepare(
File "/home/mesfas/opensource/datasets/src/datasets/builder.py", line 526, in download_and_prepare
self._download_and_prepare(
File "/home/mesfas/opensource/datasets/src/datasets/builder.py", line 606, in _download_and_prepare
raise OSError(
OSError: Cannot find data file.
Original error:
[Errno 21] Is a directory: '/home/mesfas/.cache/huggingface/datasets/downloads/extracted/314fd983aa07d3dada9429911a805270c3285f48759d3584a1343c2d86260765'
```
this is the split code
```
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
my_urls = _URL
datadir = dl_manager.download_and_extract(my_urls)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
# These kwargs will be passed to _generate_examples
gen_kwargs={
"filepath": datadir,
"split": "train"
},
),
]
```
and this is how I'm generating the examples
```
def _generate_examples(self, filepath, split):
#logging.info("generating examples from = %s", filepath)
with open(filepath, encoding="utf-8") as f:
articles = json.load(f)
for article in articles:
title = article.get("title", "").strip()
source = article.get("source", "").strip()
date = article.get("date_extracted", "").strip()
link = article.get("url", "").strip()
author = article.get("author", "").strip()
content = article.get("content", "").strip()
yield id_, {
"title": title,
"source": source,
"date": date,
"link": link,
"author": author,
"content": content
}
``` | I'm having issues in creating the dummy data. I'm still investigating how to fix it. I'll close the PR if I couldn't find a solution | 361 | text: added saudinewsnet
I'm having issues in creating the dummy data. I'm still investigating how to fix it. I'll close the PR if I couldn't find a solution
@lhoestq Hey, I tried using the first batch instead, the data was downloaded but I got this error, not sure why it can't find the path?
for content, I ran ``` "./datasets/saudinewsnet/test.py"```
which is a local test I'm running for the dataset, it contains the following code
```
from datasets import load_dataset
data = load_dataset("./datasets/saudinewsnet", split= "train")
print(data)
print(data[1])
```
this is the error I got
```
2020-12-18 21:45:39.403908: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-12-18 21:45:39.403953: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Using custom data configuration default
Downloading and preparing dataset saudi_news_net/default (download: Unknown size, generated: Unknown size, post-processed: Unknown size, total: Unknown size) to /home/mesfas/.cache/huggingface/datasets/saudi_news_net/default/0.0.0/62ece5ef0a991415352d4b1efac681d75b5b3404064fd4f6a1d659499dab18f4...
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 3.42M/3.42M [00:03<00:00, 1.03MB/s]
Traceback (most recent call last):
File "/home/mesfas/opensource/datasets/src/datasets/builder.py", line 604, in _download_and_prepare
self._prepare_split(split_generator, **prepare_split_kwargs)
File "/home/mesfas/opensource/datasets/src/datasets/builder.py", line 902, in _prepare_split
for key, record in utils.tqdm(
File "/home/mesfas/environments/ar_res_reviews/lib/python3.8/site-packages/tqdm/std.py", line 1133, in __iter__
for obj in iterable:
File "/home/mesfas/.cache/huggingface/modules/datasets_modules/datasets/saudinewsnet/62ece5ef0a991415352d4b1efac681d75b5b3404064fd4f6a1d659499dab18f4/saudinewsnet.py", line 108, in _generate_examples
with open(filepath, encoding="utf-8").read() as f:
IsADirectoryError: [Errno 21] Is a directory: '/home/mesfas/.cache/huggingface/datasets/downloads/extracted/314fd983aa07d3dada9429911a805270c3285f48759d3584a1343c2d86260765'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "./datasets/saudinewsnet/test.py", line 3, in <module>
data = load_dataset("./datasets/saudinewsnet", split= "train")
File "/home/mesfas/opensource/datasets/src/datasets/load.py", line 607, in load_dataset
builder_instance.download_and_prepare(
File "/home/mesfas/opensource/datasets/src/datasets/builder.py", line 526, in download_and_prepare
self._download_and_prepare(
File "/home/mesfas/opensource/datasets/src/datasets/builder.py", line 606, in _download_and_prepare
raise OSError(
OSError: Cannot find data file.
Original error:
[Errno 21] Is a directory: '/home/mesfas/.cache/huggingface/datasets/downloads/extracted/314fd983aa07d3dada9429911a805270c3285f48759d3584a1343c2d86260765'
```
this is the split code
```
def _split_generators(self, dl_manager):
"""Returns SplitGenerators."""
my_urls = _URL
datadir = dl_manager.download_and_extract(my_urls)
return [
datasets.SplitGenerator(
name=datasets.Split.TRAIN,
# These kwargs will be passed to _generate_examples
gen_kwargs={
"filepath": datadir,
"split": "train"
},
),
]
```
and this is how I'm generating the examples
```
def _generate_examples(self, filepath, split):
#logging.info("generating examples from = %s", filepath)
with open(filepath, encoding="utf-8") as f:
articles = json.load(f)
for article in articles:
title = article.get("title", "").strip()
source = article.get("source", "").strip()
date = article.get("date_extracted", "").strip()
link = article.get("url", "").strip()
author = article.get("author", "").strip()
content = article.get("content", "").strip()
yield id_, {
"title": title,
"source": source,
"date": date,
"link": link,
"author": author,
"content": content
}
``` | [
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https://github.com/huggingface/datasets/pull/1564 | added saudinewsnet | What's `_URL` ?
It looks like you are downloading an archive.
Therefore you may need to get to the file path using `filepath = os.path.join(datadir, "actual_file_name_inside_the_downloaded_archive")` | I'm having issues in creating the dummy data. I'm still investigating how to fix it. I'll close the PR if I couldn't find a solution | 26 | text: added saudinewsnet
I'm having issues in creating the dummy data. I'm still investigating how to fix it. I'll close the PR if I couldn't find a solution
What's `_URL` ?
It looks like you are downloading an archive.
Therefore you may need to get to the file path using `filepath = os.path.join(datadir, "actual_file_name_inside_the_downloaded_archive")` | [
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https://github.com/huggingface/datasets/pull/1564 | added saudinewsnet | @lhoestq added the remaining 17 batches and modified the readme.md to reflect that + resolved the camel case comment | I'm having issues in creating the dummy data. I'm still investigating how to fix it. I'll close the PR if I couldn't find a solution | 19 | text: added saudinewsnet
I'm having issues in creating the dummy data. I'm still investigating how to fix it. I'll close the PR if I couldn't find a solution
@lhoestq added the remaining 17 batches and modified the readme.md to reflect that + resolved the camel case comment | [
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https://github.com/huggingface/datasets/pull/1563 | adding tmu-gfm-dataset | @lhoestq Thank you for your code review! I think I could do the necessary corrections. Could you please check it again when you have time? | Adding TMU-GFM-Dataset for Grammatical Error Correction.
https://github.com/tmu-nlp/TMU-GFM-Dataset
A dataset for GEC metrics with manual evaluations of grammaticality, fluency, and meaning preservation for system outputs.
More detail about the creation of the dataset can be found in [Yoshimura et al. (2020)](https://www.aclweb.org/anthology/2020.coling-main.573.pdf). | 25 | text: adding tmu-gfm-dataset
Adding TMU-GFM-Dataset for Grammatical Error Correction.
https://github.com/tmu-nlp/TMU-GFM-Dataset
A dataset for GEC metrics with manual evaluations of grammaticality, fluency, and meaning preservation for system outputs.
More detail about the creation of the dataset can be found in [Yoshimura et al. (2020)](https://www.aclweb.org/anthology/2020.coling-main.573.pdf).
@lhoestq Thank you for your code review! I think I could do the necessary corrections. Could you please check it again when you have time? | [
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https://github.com/huggingface/datasets/pull/1562 | Add dataset COrpus of Urdu News TExt Reuse (COUNTER). | Just a small revision from simon's review: 20KB for the dummy_data.zip is fine, you can keep them this way. | 19 | text: Add dataset COrpus of Urdu News TExt Reuse (COUNTER).
Just a small revision from simon's review: 20KB for the dummy_data.zip is fine, you can keep them this way. | [
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|
https://github.com/huggingface/datasets/pull/1562 | Add dataset COrpus of Urdu News TExt Reuse (COUNTER). | Also the CI is failing because of an error `tests/test_file_utils.py::TempSeedTest::test_tensorflow` that is not related to your dataset and is fixed on master. You can ignore it | 26 | text: Add dataset COrpus of Urdu News TExt Reuse (COUNTER).
Also the CI is failing because of an error `tests/test_file_utils.py::TempSeedTest::test_tensorflow` that is not related to your dataset and is fixed on master. You can ignore it | [
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|
https://github.com/huggingface/datasets/pull/1561 | Lama | Let me know why the pyarrow test is failing. For one of the config "trex", I had to load an initial datafile for a dictionary which is used to augment the rest of the datasets. In the dummy data, the dictionary file was truncated so I had to fudge that. I'm not sure if that is the issue.
| This the LAMA dataset for probing facts and common sense from language models.
See https://github.com/facebookresearch/LAMA for more details. | 58 | text: Lama
This the LAMA dataset for probing facts and common sense from language models.
See https://github.com/facebookresearch/LAMA for more details.
Let me know why the pyarrow test is failing. For one of the config "trex", I had to load an initial datafile for a dictionary which is used to augment the rest of the datasets. In the dummy data, the dictionary file was truncated so I had to fudge that. I'm not sure if that is the issue.
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https://github.com/huggingface/datasets/pull/1561 | Lama | @ontocord contributor can’t rerun it, the maintainers will rerun it, it may take lil bit of time as there are so many PRs left to be reviewed and merged | This the LAMA dataset for probing facts and common sense from language models.
See https://github.com/facebookresearch/LAMA for more details. | 29 | text: Lama
This the LAMA dataset for probing facts and common sense from language models.
See https://github.com/facebookresearch/LAMA for more details.
@ontocord contributor can’t rerun it, the maintainers will rerun it, it may take lil bit of time as there are so many PRs left to be reviewed and merged | [
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https://github.com/huggingface/datasets/pull/1557 | HindEncorp again commited | Yes this has the right files!!!
I'll close the previous one then :)
Now to pass the tests, you will need to:
- `make style` and run `flake8 datasets` from your repository root directory
- fix the dummy data
Did you generate the dummy data with the auto-generation tool (see the guide) or manually? | 54 | text: HindEncorp again commited
Yes this has the right files!!!
I'll close the previous one then :)
Now to pass the tests, you will need to:
- `make style` and run `flake8 datasets` from your repository root directory
- fix the dummy data
Did you generate the dummy data with the auto-generation tool (see the guide) or manually? | [
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|
https://github.com/huggingface/datasets/pull/1557 | HindEncorp again commited | Cool, in that case you need to pay special attention to the directory structure given to you by the tool, most failures are because the files are in the wrong directory or at the wrong level :)
Also, make sure that the tests pass locally before pushing to the branch, it should help you get the structure right ;) | 59 | text: HindEncorp again commited
Cool, in that case you need to pay special attention to the directory structure given to you by the tool, most failures are because the files are in the wrong directory or at the wrong level :)
Also, make sure that the tests pass locally before pushing to the branch, it should help you get the structure right ;) | [
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|
https://github.com/huggingface/datasets/pull/1557 | HindEncorp again commited | yes I have give proper directory structure datasets/hind_encorp/dummy/0.0.0/dummy_data.zip but in my dummy_data.zip only 1 file hind_encorp.plaintext is present because the dataset I got has only 1 file with both English and Hindi languages on 1 file itself may be this is causing issue | 43 | text: HindEncorp again commited
yes I have give proper directory structure datasets/hind_encorp/dummy/0.0.0/dummy_data.zip but in my dummy_data.zip only 1 file hind_encorp.plaintext is present because the dataset I got has only 1 file with both English and Hindi languages on 1 file itself may be this is causing issue | [
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|
https://github.com/huggingface/datasets/pull/1557 | HindEncorp again commited | Looks like the name of the file is the issue here: you have a file called `hindencorp05.plaintext`, but it should be called `hindencorp05.plaintext.gz%3Fsequence%3D3%26isAllowed%3Dy`. You just have to rename it to pass the test:
```
cd datasets/hind_encorp/dummy/0.0.0
rm -rf dummy_data
unzip dummy_data.zip
rm dummy_data.zip
mv dummy_data/hindencorp05.plaintext "dummy_data/hindencorp05.plaintext.gz%3Fsequence%3D3%26isAllowed%3Dy"
zip -r dummy_data.zip dummy_data
```
Then **once you pass the tests locally** you just have to remember to `make style` and `flake8 datasets` to pass the style checks, and you should be good to go :hugs:
For reference, here are the instructions given by the tool:
```
$ python datasets-cli dummy_data datasets/hind_encorp/
2020-12-14 13:16:26.824828: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-12-14 13:16:26.824846: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Using custom data configuration default
==============================DUMMY DATA INSTRUCTIONS==============================
- In order to create the dummy data for , please go into the folder 'datasets/hind_encorp/dummy/0.0.0' with `cd datasets/hind_encorp/dummy/0.0.0` .
- Please create the following dummy data files 'dummy_data/hindencorp05.plaintext.gz%3Fsequence%3D3%26isAllowed%3Dy' from the folder 'datasets/hind_encorp/dummy/0.0.0'
- For each of the splits 'train', make sure that one or more of the dummy data files provide at least one example
- If the method `_generate_examples(...)` includes multiple `open()` statements, you might have to create other files in addition to 'dummy_data/hindencorp05.plaintext.gz%3Fsequence%3D3%26isAllowed%3Dy'. In this case please refer to the `_generate_examples(...)` method
-After all dummy data files are created, they should be zipped recursively to 'dummy_data.zip' with the command `zip -r dummy_data.zip dummy_data/`
-You can now delete the folder 'dummy_data' with the command `rm -r dummy_data`
- To get the folder 'dummy_data' back for further changes to the dummy data, simply unzip dummy_data.zip with the command `unzip dummy_data.zip`
- Make sure you have created the file 'dummy_data.zip' in 'datasets/hind_encorp/dummy/0.0.0'
===================================================================================
```
| 302 | text: HindEncorp again commited
Looks like the name of the file is the issue here: you have a file called `hindencorp05.plaintext`, but it should be called `hindencorp05.plaintext.gz%3Fsequence%3D3%26isAllowed%3Dy`. You just have to rename it to pass the test:
```
cd datasets/hind_encorp/dummy/0.0.0
rm -rf dummy_data
unzip dummy_data.zip
rm dummy_data.zip
mv dummy_data/hindencorp05.plaintext "dummy_data/hindencorp05.plaintext.gz%3Fsequence%3D3%26isAllowed%3Dy"
zip -r dummy_data.zip dummy_data
```
Then **once you pass the tests locally** you just have to remember to `make style` and `flake8 datasets` to pass the style checks, and you should be good to go :hugs:
For reference, here are the instructions given by the tool:
```
$ python datasets-cli dummy_data datasets/hind_encorp/
2020-12-14 13:16:26.824828: W tensorflow/stream_executor/platform/default/dso_loader.cc:59] Could not load dynamic library 'libcudart.so.10.1'; dlerror: libcudart.so.10.1: cannot open shared object file: No such file or directory
2020-12-14 13:16:26.824846: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Using custom data configuration default
==============================DUMMY DATA INSTRUCTIONS==============================
- In order to create the dummy data for , please go into the folder 'datasets/hind_encorp/dummy/0.0.0' with `cd datasets/hind_encorp/dummy/0.0.0` .
- Please create the following dummy data files 'dummy_data/hindencorp05.plaintext.gz%3Fsequence%3D3%26isAllowed%3Dy' from the folder 'datasets/hind_encorp/dummy/0.0.0'
- For each of the splits 'train', make sure that one or more of the dummy data files provide at least one example
- If the method `_generate_examples(...)` includes multiple `open()` statements, you might have to create other files in addition to 'dummy_data/hindencorp05.plaintext.gz%3Fsequence%3D3%26isAllowed%3Dy'. In this case please refer to the `_generate_examples(...)` method
-After all dummy data files are created, they should be zipped recursively to 'dummy_data.zip' with the command `zip -r dummy_data.zip dummy_data/`
-You can now delete the folder 'dummy_data' with the command `rm -r dummy_data`
- To get the folder 'dummy_data' back for further changes to the dummy data, simply unzip dummy_data.zip with the command `unzip dummy_data.zip`
- Make sure you have created the file 'dummy_data.zip' in 'datasets/hind_encorp/dummy/0.0.0'
===================================================================================
```
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|
https://github.com/huggingface/datasets/pull/1555 | Added Opus TedTalks | @lhoestq I saw some common changes you made on the other PR's (Similar Opus Datasets). I fixed those changes here. Can you please review it once ?
Thanks. | Dataset : http://opus.nlpl.eu/TedTalks.php | 28 | text: Added Opus TedTalks
Dataset : http://opus.nlpl.eu/TedTalks.php
@lhoestq I saw some common changes you made on the other PR's (Similar Opus Datasets). I fixed those changes here. Can you please review it once ?
Thanks. | [
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https://github.com/huggingface/datasets/pull/1554 | Opus CAPES added | @lhoestq I saw some common changes you made on the other PR's (Similar Opus Datasets). I fixed those changes here. Can you please review it once ?
Thanks. | Dataset : http://opus.nlpl.eu/CAPES.php | 28 | text: Opus CAPES added
Dataset : http://opus.nlpl.eu/CAPES.php
@lhoestq I saw some common changes you made on the other PR's (Similar Opus Datasets). I fixed those changes here. Can you please review it once ?
Thanks. | [
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https://github.com/huggingface/datasets/pull/1554 | Opus CAPES added | Hi @rkc007 , thanks for the contribution.
Unfortunately, the CAPES dataset has already been added here: #1307
I'm closing the PR | Dataset : http://opus.nlpl.eu/CAPES.php | 21 | text: Opus CAPES added
Dataset : http://opus.nlpl.eu/CAPES.php
Hi @rkc007 , thanks for the contribution.
Unfortunately, the CAPES dataset has already been added here: #1307
I'm closing the PR | [
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https://github.com/huggingface/datasets/pull/1552 | Added OPUS ParaCrawl | @lhoestq I saw some common changes you made on the other PR's (Similar Opus Datasets). I fixed those changes here. Can you please review it once ?
Thanks. | Dataset : http://opus.nlpl.eu/ParaCrawl.php | 28 | text: Added OPUS ParaCrawl
Dataset : http://opus.nlpl.eu/ParaCrawl.php
@lhoestq I saw some common changes you made on the other PR's (Similar Opus Datasets). I fixed those changes here. Can you please review it once ?
Thanks. | [
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https://github.com/huggingface/datasets/pull/1552 | Added OPUS ParaCrawl | @rkc007 @lhoestq just noticed a dataset named para_crawl has been added a long time ago: #91. | Dataset : http://opus.nlpl.eu/ParaCrawl.php | 16 | text: Added OPUS ParaCrawl
Dataset : http://opus.nlpl.eu/ParaCrawl.php
@rkc007 @lhoestq just noticed a dataset named para_crawl has been added a long time ago: #91. | [
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https://github.com/huggingface/datasets/pull/1552 | Added OPUS ParaCrawl | They're not exactly the same so it's ok to have both.
Especially the `para_crawl` that already exists only uses the text from the ParaCrawl release 4. | Dataset : http://opus.nlpl.eu/ParaCrawl.php | 26 | text: Added OPUS ParaCrawl
Dataset : http://opus.nlpl.eu/ParaCrawl.php
They're not exactly the same so it's ok to have both.
Especially the `para_crawl` that already exists only uses the text from the ParaCrawl release 4. | [
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https://github.com/huggingface/datasets/pull/1552 | Added OPUS ParaCrawl | Could you regenerate the dataset_infos.json @rkc007 please ?
It looks like it has some issues due to the dataset class name change | Dataset : http://opus.nlpl.eu/ParaCrawl.php | 22 | text: Added OPUS ParaCrawl
Dataset : http://opus.nlpl.eu/ParaCrawl.php
Could you regenerate the dataset_infos.json @rkc007 please ?
It looks like it has some issues due to the dataset class name change | [
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https://github.com/huggingface/datasets/pull/1552 | Added OPUS ParaCrawl | @SBrandeis Thank you for suggesting changes. I made the changes you suggested.
@lhoestq I generated `dataset_infos.json` again. I ran both tests(Dummy & Real data) and it passed. Can you please review it again? | Dataset : http://opus.nlpl.eu/ParaCrawl.php | 33 | text: Added OPUS ParaCrawl
Dataset : http://opus.nlpl.eu/ParaCrawl.php
@SBrandeis Thank you for suggesting changes. I made the changes you suggested.
@lhoestq I generated `dataset_infos.json` again. I ran both tests(Dummy & Real data) and it passed. Can you please review it again? | [
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https://github.com/huggingface/datasets/pull/1551 | Monero | Hi @iliemihai - you need to add the Readme file! Otherwise seems good.
Also don't forget to run `make style` & `flake8 datasets` locally, from the datasets folder | Biomedical Romanian dataset :) | 28 | text: Monero
Biomedical Romanian dataset :)
Hi @iliemihai - you need to add the Readme file! Otherwise seems good.
Also don't forget to run `make style` & `flake8 datasets` locally, from the datasets folder | [
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https://github.com/huggingface/datasets/pull/1547 | Adding PolEval2019 Machine Translation Task dataset | **NOTE:**
- Train and Dev: Manually downloaded (auto download is repeatedly giving `ConnectionError` for one of the files), Test: Auto Download
- Dummy test is passing
- The json file has been created with hard-coded paths for the manual downloads _(hardcoding has been removed from the final uploaded script)_
- datasets-cli is still **failing** . It is not picking the right directory for the config. For instance, my folder structure is as below:
```
~/Downloads/Data/
|--- English-to-Polish
|--- (corresponding files)
|--- Russian-Polish
|--- (corresponding files)
```
When ru-pl is selected, ideally it has to search in Russian-Polish folder, but it is searching in '/Downloads/Data/' folder and hence getting a FileNotFound error.
The command run is
`python datasets-cli test datasets/poleval2019_mt/ --save_infos --all_configs --data_dir ~/Downloads/Data/
`
| Facing an error with pytest in training. Dummy data is passing.
README has to be updated. | 124 | text: Adding PolEval2019 Machine Translation Task dataset
Facing an error with pytest in training. Dummy data is passing.
README has to be updated.
**NOTE:**
- Train and Dev: Manually downloaded (auto download is repeatedly giving `ConnectionError` for one of the files), Test: Auto Download
- Dummy test is passing
- The json file has been created with hard-coded paths for the manual downloads _(hardcoding has been removed from the final uploaded script)_
- datasets-cli is still **failing** . It is not picking the right directory for the config. For instance, my folder structure is as below:
```
~/Downloads/Data/
|--- English-to-Polish
|--- (corresponding files)
|--- Russian-Polish
|--- (corresponding files)
```
When ru-pl is selected, ideally it has to search in Russian-Polish folder, but it is searching in '/Downloads/Data/' folder and hence getting a FileNotFound error.
The command run is
`python datasets-cli test datasets/poleval2019_mt/ --save_infos --all_configs --data_dir ~/Downloads/Data/
`
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https://github.com/huggingface/datasets/pull/1547 | Adding PolEval2019 Machine Translation Task dataset | Hi !
Thanks for the changes :)
The only error left is the dummy data. Since we changed for standard downloads instead of manual downloads its structure changed. Fortunately you can auto-generate the dummy data with this command:
```
datasets-cli dummy_data ./datasets/poleval2019_mt --auto_generate --match_text_files "*"
```
Can you regenerate the dummy data using this command please ? | Facing an error with pytest in training. Dummy data is passing.
README has to be updated. | 57 | text: Adding PolEval2019 Machine Translation Task dataset
Facing an error with pytest in training. Dummy data is passing.
README has to be updated.
Hi !
Thanks for the changes :)
The only error left is the dummy data. Since we changed for standard downloads instead of manual downloads its structure changed. Fortunately you can auto-generate the dummy data with this command:
```
datasets-cli dummy_data ./datasets/poleval2019_mt --auto_generate --match_text_files "*"
```
Can you regenerate the dummy data using this command please ? | [
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https://github.com/huggingface/datasets/pull/1547 | Adding PolEval2019 Machine Translation Task dataset | Thank you for the help @lhoestq !! I was generating the dummy dataset in a wrong way! That _--match_text_files "*"_ did the trick! Now all the tests have passed! :-) | Facing an error with pytest in training. Dummy data is passing.
README has to be updated. | 30 | text: Adding PolEval2019 Machine Translation Task dataset
Facing an error with pytest in training. Dummy data is passing.
README has to be updated.
Thank you for the help @lhoestq !! I was generating the dummy dataset in a wrong way! That _--match_text_files "*"_ did the trick! Now all the tests have passed! :-) | [
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https://github.com/huggingface/datasets/pull/1546 | Add persian ner dataset | HI @SBrandeis. Thanks for all the comments - very helpful. I realised that the tests had failed and had been trying to figure out what was causing them to do so. All the tests pass when I run the load_real_dataset test however when I run `RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_persian_ner` I get the below error. One thing to note is that the automated dummy data file generation failed when I tried to run it so I manually created the dummy data and ensured that the last line in the file was an empty line as per your comments. Would appreciate your thoughts on what might be causing this:
```
__________________________________________________ LocalDatasetTest.test_load_dataset_all_configs_persian_ner __________________________________________________
self = <tests.test_dataset_common.LocalDatasetTest testMethod=test_load_dataset_all_configs_persian_ner>, dataset_name = 'persian_ner'
@slow
def test_load_dataset_all_configs(self, dataset_name):
configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)
> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True)
tests/test_dataset_common.py:237:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
tests/test_dataset_common.py:198: in check_load_dataset
self.parent.assertTrue(len(dataset[split]) > 0)
E AssertionError: False is not true
--------------------------------------------------------------------- Captured stdout call ---------------------------------------------------------------------
Downloading and preparing dataset persian_ner/fold1 (download: 1.00 MiB, generated: 1.00 MiB, post-processed: Unknown size, total: 2.00 MiB) to /var/folders/nk/yp5_m5c95cnc0cm_vbd7h7g80000gn/T/tmpzh495aac/persian_ner/fold1/1.1.0...
Dataset persian_ner downloaded and prepared to /var/folders/nk/yp5_m5c95cnc0cm_vbd7h7g80000gn/T/tmpzh495aac/persian_ner/fold1/1.1.0. Subsequent calls will reuse this data.
--------------------------------------------------------------------- Captured stderr call ---------------------------------------------------------------------
======================================================================= warnings summary =======================================================================
env/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21
/Users/karimfoda/Documents/STUDIES/PYTHON/DATASETS/env/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
import imp
env/lib/python3.7/site-packages/apache_beam/typehints/typehints.py:693
/Users/karimfoda/Documents/STUDIES/PYTHON/DATASETS/env/lib/python3.7/site-packages/apache_beam/typehints/typehints.py:693: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
if not isinstance(type_params, collections.Iterable):
env/lib/python3.7/site-packages/apache_beam/typehints/typehints.py:532
/Users/karimfoda/Documents/STUDIES/PYTHON/DATASETS/env/lib/python3.7/site-packages/apache_beam/typehints/typehints.py:532: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
if not isinstance(type_params, (collections.Sequence, set)):
env/lib/python3.7/site-packages/elasticsearch/compat.py:38
/Users/karimfoda/Documents/STUDIES/PYTHON/DATASETS/env/lib/python3.7/site-packages/elasticsearch/compat.py:38: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
from collections import Mapping
-- Docs: https://docs.pytest.org/en/stable/warnings.html
=================================================================== short test summary info ====================================================================
FAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_persian_ner - AssertionError: False is not true
``` | Adding the following dataset:
https://github.com/HaniehP/PersianNER
| 389 | text: Add persian ner dataset
Adding the following dataset:
https://github.com/HaniehP/PersianNER
HI @SBrandeis. Thanks for all the comments - very helpful. I realised that the tests had failed and had been trying to figure out what was causing them to do so. All the tests pass when I run the load_real_dataset test however when I run `RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_persian_ner` I get the below error. One thing to note is that the automated dummy data file generation failed when I tried to run it so I manually created the dummy data and ensured that the last line in the file was an empty line as per your comments. Would appreciate your thoughts on what might be causing this:
```
__________________________________________________ LocalDatasetTest.test_load_dataset_all_configs_persian_ner __________________________________________________
self = <tests.test_dataset_common.LocalDatasetTest testMethod=test_load_dataset_all_configs_persian_ner>, dataset_name = 'persian_ner'
@slow
def test_load_dataset_all_configs(self, dataset_name):
configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)
> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True)
tests/test_dataset_common.py:237:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
tests/test_dataset_common.py:198: in check_load_dataset
self.parent.assertTrue(len(dataset[split]) > 0)
E AssertionError: False is not true
--------------------------------------------------------------------- Captured stdout call ---------------------------------------------------------------------
Downloading and preparing dataset persian_ner/fold1 (download: 1.00 MiB, generated: 1.00 MiB, post-processed: Unknown size, total: 2.00 MiB) to /var/folders/nk/yp5_m5c95cnc0cm_vbd7h7g80000gn/T/tmpzh495aac/persian_ner/fold1/1.1.0...
Dataset persian_ner downloaded and prepared to /var/folders/nk/yp5_m5c95cnc0cm_vbd7h7g80000gn/T/tmpzh495aac/persian_ner/fold1/1.1.0. Subsequent calls will reuse this data.
--------------------------------------------------------------------- Captured stderr call ---------------------------------------------------------------------
======================================================================= warnings summary =======================================================================
env/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21
/Users/karimfoda/Documents/STUDIES/PYTHON/DATASETS/env/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses
import imp
env/lib/python3.7/site-packages/apache_beam/typehints/typehints.py:693
/Users/karimfoda/Documents/STUDIES/PYTHON/DATASETS/env/lib/python3.7/site-packages/apache_beam/typehints/typehints.py:693: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
if not isinstance(type_params, collections.Iterable):
env/lib/python3.7/site-packages/apache_beam/typehints/typehints.py:532
/Users/karimfoda/Documents/STUDIES/PYTHON/DATASETS/env/lib/python3.7/site-packages/apache_beam/typehints/typehints.py:532: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
if not isinstance(type_params, (collections.Sequence, set)):
env/lib/python3.7/site-packages/elasticsearch/compat.py:38
/Users/karimfoda/Documents/STUDIES/PYTHON/DATASETS/env/lib/python3.7/site-packages/elasticsearch/compat.py:38: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working
from collections import Mapping
-- Docs: https://docs.pytest.org/en/stable/warnings.html
=================================================================== short test summary info ====================================================================
FAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_persian_ner - AssertionError: False is not true
``` | [
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https://github.com/huggingface/datasets/pull/1546 | Add persian ner dataset | Thanks @SBrandeis. It turns out the error was because I had to manually increase the n_lines variable to get the dummy data generation to cover at least one example. Should all be working okay now. | Adding the following dataset:
https://github.com/HaniehP/PersianNER
| 35 | text: Add persian ner dataset
Adding the following dataset:
https://github.com/HaniehP/PersianNER
Thanks @SBrandeis. It turns out the error was because I had to manually increase the n_lines variable to get the dummy data generation to cover at least one example. Should all be working okay now. | [
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https://github.com/huggingface/datasets/pull/1544 | Added Wiki Summary Dataset | The CI error `tests/test_file_utils.py::TempSeedTest::test_tensorflow` is not related to this dataset and is fixed on master, you can ignore it | Wiki Summary: Dataset extracted from Persian Wikipedia into the form of articles and highlights.
Link: https://github.com/m3hrdadfi/wiki-summary | 19 | text: Added Wiki Summary Dataset
Wiki Summary: Dataset extracted from Persian Wikipedia into the form of articles and highlights.
Link: https://github.com/m3hrdadfi/wiki-summary
The CI error `tests/test_file_utils.py::TempSeedTest::test_tensorflow` is not related to this dataset and is fixed on master, you can ignore it | [
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https://github.com/huggingface/datasets/pull/1544 | Added Wiki Summary Dataset | Now the delimiter of the csv reader is fixed, thanks :)
I just added a comment suggesting to try using actual URLS instead of a manual download if possible.
This would make things more convenient for the users. Can you try using the `dl_manager` to download the train/dev/test csv files instead of requiring manual download ? | Wiki Summary: Dataset extracted from Persian Wikipedia into the form of articles and highlights.
Link: https://github.com/m3hrdadfi/wiki-summary | 56 | text: Added Wiki Summary Dataset
Wiki Summary: Dataset extracted from Persian Wikipedia into the form of articles and highlights.
Link: https://github.com/m3hrdadfi/wiki-summary
Now the delimiter of the csv reader is fixed, thanks :)
I just added a comment suggesting to try using actual URLS instead of a manual download if possible.
This would make things more convenient for the users. Can you try using the `dl_manager` to download the train/dev/test csv files instead of requiring manual download ? | [
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https://github.com/huggingface/datasets/pull/1544 | Added Wiki Summary Dataset | Also pinging @m3hrdadfi , since I just noticed that there's already a dataset script that was created 3 weeks ago for this dataset here: https://github.com/m3hrdadfi/wiki-summary/tree/master/datasets/wiki_summary_persian | Wiki Summary: Dataset extracted from Persian Wikipedia into the form of articles and highlights.
Link: https://github.com/m3hrdadfi/wiki-summary | 25 | text: Added Wiki Summary Dataset
Wiki Summary: Dataset extracted from Persian Wikipedia into the form of articles and highlights.
Link: https://github.com/m3hrdadfi/wiki-summary
Also pinging @m3hrdadfi , since I just noticed that there's already a dataset script that was created 3 weeks ago for this dataset here: https://github.com/m3hrdadfi/wiki-summary/tree/master/datasets/wiki_summary_persian | [
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https://github.com/huggingface/datasets/pull/1544 | Added Wiki Summary Dataset | @lhoestq pytest on dummy data passed, but on real data raising this issue
how to resolve it
| Wiki Summary: Dataset extracted from Persian Wikipedia into the form of articles and highlights.
Link: https://github.com/m3hrdadfi/wiki-summary | 19 | text: Added Wiki Summary Dataset
Wiki Summary: Dataset extracted from Persian Wikipedia into the form of articles and highlights.
Link: https://github.com/m3hrdadfi/wiki-summary
@lhoestq pytest on dummy data passed, but on real data raising this issue
how to resolve it
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https://github.com/huggingface/datasets/pull/1544 | Added Wiki Summary Dataset | I see ! This is because the library did some verification to make sure it downloads the same files as in the first time you ran the `datasets-cli test` command with `--save_infos`. Since we're now downloading files, the verification fails.
To fix that you just need to regenerate the dataset_infos.json file:
```
datasets-cli test ./datasets/wiki_summary --save_infos --all_configs --ignore_verifications
``` | Wiki Summary: Dataset extracted from Persian Wikipedia into the form of articles and highlights.
Link: https://github.com/m3hrdadfi/wiki-summary | 59 | text: Added Wiki Summary Dataset
Wiki Summary: Dataset extracted from Persian Wikipedia into the form of articles and highlights.
Link: https://github.com/m3hrdadfi/wiki-summary
I see ! This is because the library did some verification to make sure it downloads the same files as in the first time you ran the `datasets-cli test` command with `--save_infos`. Since we're now downloading files, the verification fails.
To fix that you just need to regenerate the dataset_infos.json file:
```
datasets-cli test ./datasets/wiki_summary --save_infos --all_configs --ignore_verifications
``` | [
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https://github.com/huggingface/datasets/pull/1544 | Added Wiki Summary Dataset | @lhoestq I have modified everything and It worked fine, dont know why it is not passing the tests | Wiki Summary: Dataset extracted from Persian Wikipedia into the form of articles and highlights.
Link: https://github.com/m3hrdadfi/wiki-summary | 18 | text: Added Wiki Summary Dataset
Wiki Summary: Dataset extracted from Persian Wikipedia into the form of articles and highlights.
Link: https://github.com/m3hrdadfi/wiki-summary
@lhoestq I have modified everything and It worked fine, dont know why it is not passing the tests | [
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https://github.com/huggingface/datasets/pull/1544 | Added Wiki Summary Dataset | Awesome thank you !
The CI error `tests/test_file_utils.py::TempSeedTest::test_tensorflow` is not related to your dataset and is fixed on master.
You can ignore it :) | Wiki Summary: Dataset extracted from Persian Wikipedia into the form of articles and highlights.
Link: https://github.com/m3hrdadfi/wiki-summary | 24 | text: Added Wiki Summary Dataset
Wiki Summary: Dataset extracted from Persian Wikipedia into the form of articles and highlights.
Link: https://github.com/m3hrdadfi/wiki-summary
Awesome thank you !
The CI error `tests/test_file_utils.py::TempSeedTest::test_tensorflow` is not related to your dataset and is fixed on master.
You can ignore it :) | [
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https://github.com/huggingface/datasets/pull/1544 | Added Wiki Summary Dataset | The dataset script is all good now ! The dummy data and the dataset_infos.json file are good too :) | Wiki Summary: Dataset extracted from Persian Wikipedia into the form of articles and highlights.
Link: https://github.com/m3hrdadfi/wiki-summary | 19 | text: Added Wiki Summary Dataset
Wiki Summary: Dataset extracted from Persian Wikipedia into the form of articles and highlights.
Link: https://github.com/m3hrdadfi/wiki-summary
The dataset script is all good now ! The dummy data and the dataset_infos.json file are good too :) | [
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https://github.com/huggingface/datasets/pull/1543 | adding HindEncorp | @rahul-art unfortunately this didn't quite work, here's how you can try again:
- `git checkout master` to go back to the main branch
- `git pull upstream master` to make it up to date
- `git checkout -b add_hind_encorp` to create a new branch
Then add the dataset script, `README.md`, `dummy_data.zip`, and `dataset_infos.json` to the tracked files for the branch with `git add` (please add all of these files individually, NOT the whole directory as we don't want the other data files)
Then after you have passed the style checks and the local tests, do:
- `git commit . -m initial_commit`
- `git push --set-upstream origin add_hind_encorp`
Then you can go to this branch on the WebApp and open a new PR | adding Hindi Wikipedia corpus | 122 | text: adding HindEncorp
adding Hindi Wikipedia corpus
@rahul-art unfortunately this didn't quite work, here's how you can try again:
- `git checkout master` to go back to the main branch
- `git pull upstream master` to make it up to date
- `git checkout -b add_hind_encorp` to create a new branch
Then add the dataset script, `README.md`, `dummy_data.zip`, and `dataset_infos.json` to the tracked files for the branch with `git add` (please add all of these files individually, NOT the whole directory as we don't want the other data files)
Then after you have passed the style checks and the local tests, do:
- `git commit . -m initial_commit`
- `git push --set-upstream origin add_hind_encorp`
Then you can go to this branch on the WebApp and open a new PR | [
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https://github.com/huggingface/datasets/pull/1540 | added TTC4900: A Benchmark Data for Turkish Text Categorization dataset | > Hi @yavuzKomecoglu did you manage to build the dummy data ?
Hi, sorry for the return. I've created dummy_data.zip manually. | This PR adds the TTC4900 dataset which is a Turkish Text Categorization dataset by me and @basakbuluz.
Homepage: [https://www.kaggle.com/savasy/ttc4900](https://www.kaggle.com/savasy/ttc4900)
Point of Contact: [Savaş Yıldırım](mailto:savasy@gmail.com) / @savasy
| 21 | text: added TTC4900: A Benchmark Data for Turkish Text Categorization dataset
This PR adds the TTC4900 dataset which is a Turkish Text Categorization dataset by me and @basakbuluz.
Homepage: [https://www.kaggle.com/savasy/ttc4900](https://www.kaggle.com/savasy/ttc4900)
Point of Contact: [Savaş Yıldırım](mailto:savasy@gmail.com) / @savasy
> Hi @yavuzKomecoglu did you manage to build the dummy data ?
Hi, sorry for the return. I've created dummy_data.zip manually. | [
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https://github.com/huggingface/datasets/pull/1540 | added TTC4900: A Benchmark Data for Turkish Text Categorization dataset | > Nice thank you !
>
> Before we merge can you fill the two sections of the dataset card I suggested ?
> And also remove one remaining print statement
I updated your suggestions. Thank you very much for your support. | This PR adds the TTC4900 dataset which is a Turkish Text Categorization dataset by me and @basakbuluz.
Homepage: [https://www.kaggle.com/savasy/ttc4900](https://www.kaggle.com/savasy/ttc4900)
Point of Contact: [Savaş Yıldırım](mailto:savasy@gmail.com) / @savasy
| 42 | text: added TTC4900: A Benchmark Data for Turkish Text Categorization dataset
This PR adds the TTC4900 dataset which is a Turkish Text Categorization dataset by me and @basakbuluz.
Homepage: [https://www.kaggle.com/savasy/ttc4900](https://www.kaggle.com/savasy/ttc4900)
Point of Contact: [Savaş Yıldırım](mailto:savasy@gmail.com) / @savasy
> Nice thank you !
>
> Before we merge can you fill the two sections of the dataset card I suggested ?
> And also remove one remaining print statement
I updated your suggestions. Thank you very much for your support. | [
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https://github.com/huggingface/datasets/pull/1540 | added TTC4900: A Benchmark Data for Turkish Text Categorization dataset | I think you accidentally pushed the readme of another dataset (name_to_nation).
I removed it so you have to `git pull`
Because of that I guess your changes about the ttc4900 was not included.
Feel free to ping me once they're added
| This PR adds the TTC4900 dataset which is a Turkish Text Categorization dataset by me and @basakbuluz.
Homepage: [https://www.kaggle.com/savasy/ttc4900](https://www.kaggle.com/savasy/ttc4900)
Point of Contact: [Savaş Yıldırım](mailto:savasy@gmail.com) / @savasy
| 41 | text: added TTC4900: A Benchmark Data for Turkish Text Categorization dataset
This PR adds the TTC4900 dataset which is a Turkish Text Categorization dataset by me and @basakbuluz.
Homepage: [https://www.kaggle.com/savasy/ttc4900](https://www.kaggle.com/savasy/ttc4900)
Point of Contact: [Savaş Yıldırım](mailto:savasy@gmail.com) / @savasy
I think you accidentally pushed the readme of another dataset (name_to_nation).
I removed it so you have to `git pull`
Because of that I guess your changes about the ttc4900 was not included.
Feel free to ping me once they're added
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https://github.com/huggingface/datasets/pull/1540 | added TTC4900: A Benchmark Data for Turkish Text Categorization dataset | > I think you accidentally pushed the readme of another dataset (name_to_nation).
> I removed it so you have to `git pull`
>
> Because of that I guess your changes about the ttc4900 was not included.
> Feel free to ping me once they're added
I did `git pull` and updated readme **ttc4900**. | This PR adds the TTC4900 dataset which is a Turkish Text Categorization dataset by me and @basakbuluz.
Homepage: [https://www.kaggle.com/savasy/ttc4900](https://www.kaggle.com/savasy/ttc4900)
Point of Contact: [Savaş Yıldırım](mailto:savasy@gmail.com) / @savasy
| 54 | text: added TTC4900: A Benchmark Data for Turkish Text Categorization dataset
This PR adds the TTC4900 dataset which is a Turkish Text Categorization dataset by me and @basakbuluz.
Homepage: [https://www.kaggle.com/savasy/ttc4900](https://www.kaggle.com/savasy/ttc4900)
Point of Contact: [Savaş Yıldırım](mailto:savasy@gmail.com) / @savasy
> I think you accidentally pushed the readme of another dataset (name_to_nation).
> I removed it so you have to `git pull`
>
> Because of that I guess your changes about the ttc4900 was not included.
> Feel free to ping me once they're added
I did `git pull` and updated readme **ttc4900**. | [
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https://github.com/huggingface/datasets/pull/1539 | Added Wiki Asp dataset | > Awesome thank you !
>
> I just left one comment.
>
> Also it looks like the dummy_data.zip files are quite big (around 500KB each)
> Can you try to reduce their sizes please ? Ideally they should be <20KB each
>
> To do so feel free to take a look inside them and in the jsonl files only keep 1 or 2 samples instead of 5 and also remove big chunks of text to only keep a few passages.
Thanks, I have updated the dummy data to keep each domain <20/30KB. | Hello,
I have added Wiki Asp dataset. Please review the PR. | 95 | text: Added Wiki Asp dataset
Hello,
I have added Wiki Asp dataset. Please review the PR.
> Awesome thank you !
>
> I just left one comment.
>
> Also it looks like the dummy_data.zip files are quite big (around 500KB each)
> Can you try to reduce their sizes please ? Ideally they should be <20KB each
>
> To do so feel free to take a look inside them and in the jsonl files only keep 1 or 2 samples instead of 5 and also remove big chunks of text to only keep a few passages.
Thanks, I have updated the dummy data to keep each domain <20/30KB. | [
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https://github.com/huggingface/datasets/pull/1539 | Added Wiki Asp dataset | > > Awesome thank you !
> > I just left one comment.
> > Also it looks like the dummy_data.zip files are quite big (around 500KB each)
> > Can you try to reduce their sizes please ? Ideally they should be <20KB each
> > To do so feel free to take a look inside them and in the jsonl files only keep 1 or 2 samples instead of 5 and also remove big chunks of text to only keep a few passages.
>
> Thanks, I have updated the dummy data to keep each domain <20/30KB.
Looks like this branch has other commits. I will open a new PR with suggested changes. | Hello,
I have added Wiki Asp dataset. Please review the PR. | 115 | text: Added Wiki Asp dataset
Hello,
I have added Wiki Asp dataset. Please review the PR.
> > Awesome thank you !
> > I just left one comment.
> > Also it looks like the dummy_data.zip files are quite big (around 500KB each)
> > Can you try to reduce their sizes please ? Ideally they should be <20KB each
> > To do so feel free to take a look inside them and in the jsonl files only keep 1 or 2 samples instead of 5 and also remove big chunks of text to only keep a few passages.
>
> Thanks, I have updated the dummy data to keep each domain <20/30KB.
Looks like this branch has other commits. I will open a new PR with suggested changes. | [
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https://github.com/huggingface/datasets/pull/1538 | tweets_hate_speech_detection | Hi @lhoestq I have added this new dataset for tweet's hate speech detection.
Please if u could review it.
Thank you | 21 | text: tweets_hate_speech_detection
Hi @lhoestq I have added this new dataset for tweet's hate speech detection.
Please if u could review it.
Thank you | [
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|
https://github.com/huggingface/datasets/pull/1538 | tweets_hate_speech_detection | Hi @darshan-gandhi have you add a chance to take a look at my suggestions ?
Feel free to ping me when you're ready for the final review | 27 | text: tweets_hate_speech_detection
Hi @darshan-gandhi have you add a chance to take a look at my suggestions ?
Feel free to ping me when you're ready for the final review | [
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|
https://github.com/huggingface/datasets/pull/1536 | Add Hippocorpus Dataset | > Before we merge can you try to reduce the size of the dummy_data.zip file ?
>
> To do so feel free to only keep a few lines of the csv files ans also remove unnecessary chunks of texts (for example keep only the first sentences of a story).
Hi @lhoestq, I have reduced the size of the dummy_data.zip file by making the necessary changes you had suggested. | 69 | text: Add Hippocorpus Dataset
> Before we merge can you try to reduce the size of the dummy_data.zip file ?
>
> To do so feel free to only keep a few lines of the csv files ans also remove unnecessary chunks of texts (for example keep only the first sentences of a story).
Hi @lhoestq, I have reduced the size of the dummy_data.zip file by making the necessary changes you had suggested. | [
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] |
|
https://github.com/huggingface/datasets/pull/1533 | add id_panl_bppt, a parallel corpus for en-id | Strange error message :-)
```
> tf_context = tf.python.context.context() # eager mode context
E AttributeError: module 'tensorflow' has no attribute 'python'
```
| Parallel Text Corpora for English - Indonesian | 22 | text: add id_panl_bppt, a parallel corpus for en-id
Parallel Text Corpora for English - Indonesian
Strange error message :-)
```
> tf_context = tf.python.context.context() # eager mode context
E AttributeError: module 'tensorflow' has no attribute 'python'
```
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https://github.com/huggingface/datasets/pull/1529 | Ro sent | Hi @iliemihai, it looks like this PR holds changes from your previous PR #1493 .
Would you mind removing them from the branch please ? | Movies reviews dataset for Romanian language. | 25 | text: Ro sent
Movies reviews dataset for Romanian language.
Hi @iliemihai, it looks like this PR holds changes from your previous PR #1493 .
Would you mind removing them from the branch please ? | [
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https://github.com/huggingface/datasets/pull/1529 | Ro sent | Hi @lhoestq @SBrandeis @iliemihai
Is this still in progress or can I take over this one?
Thanks,
Gunjan | Movies reviews dataset for Romanian language. | 18 | text: Ro sent
Movies reviews dataset for Romanian language.
Hi @lhoestq @SBrandeis @iliemihai
Is this still in progress or can I take over this one?
Thanks,
Gunjan | [
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https://github.com/huggingface/datasets/pull/1529 | Ro sent | Hi,
While trying to add this dataset, I found some potential issues.
The homepage mentioned is : https://github.com/katakonst/sentiment-analysis-tensorflow/tree/master/datasets/ro/, where the dataset is different from the URLs: https://raw.githubusercontent.com/dumitrescustefan/Romanian-Transformers/examples/examples/sentiment_analysis/ro/train.csv. It is unclear which dataset is "correct". I checked the total examples (train+test) in both places and they do not match. | Movies reviews dataset for Romanian language. | 48 | text: Ro sent
Movies reviews dataset for Romanian language.
Hi,
While trying to add this dataset, I found some potential issues.
The homepage mentioned is : https://github.com/katakonst/sentiment-analysis-tensorflow/tree/master/datasets/ro/, where the dataset is different from the URLs: https://raw.githubusercontent.com/dumitrescustefan/Romanian-Transformers/examples/examples/sentiment_analysis/ro/train.csv. It is unclear which dataset is "correct". I checked the total examples (train+test) in both places and they do not match. | [
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