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https://github.com/huggingface/datasets/pull/1423 | Imppres | I get this response when I try to switch to master:
```
aclifton@pop-os:~/hf_datasets_sprint/datasets$ git checkout master
datasets/wiki_movies/README.md: needs merge
datasets/wiki_movies/dataset_infos.json: needs merge
datasets/wiki_movies/wiki_movies.py: needs merge
error: you need to resolve your current index first
``` | 2nd PR ever! Hopefully I'm starting to get the hang of this. This is for the IMPPRES dataset. Please let me know of any corrections or changes that need to be made. | 35 | text: Imppres
2nd PR ever! Hopefully I'm starting to get the hang of this. This is for the IMPPRES dataset. Please let me know of any corrections or changes that need to be made.
I get this response when I try to switch to master:
```
aclifton@pop-os:~/hf_datasets_sprint/datasets$ git checkout master
datasets/wiki_movies/README.md: needs merge
datasets/wiki_movies/dataset_infos.json: needs merge
datasets/wiki_movies/wiki_movies.py: needs merge
error: you need to resolve your current index first
``` | [
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https://github.com/huggingface/datasets/pull/1423 | Imppres | Maybe you have to remove the changes in wiki_movies before checkout to master
```
git stash
```
should do the job | 2nd PR ever! Hopefully I'm starting to get the hang of this. This is for the IMPPRES dataset. Please let me know of any corrections or changes that need to be made. | 21 | text: Imppres
2nd PR ever! Hopefully I'm starting to get the hang of this. This is for the IMPPRES dataset. Please let me know of any corrections or changes that need to be made.
Maybe you have to remove the changes in wiki_movies before checkout to master
```
git stash
```
should do the job | [
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https://github.com/huggingface/datasets/pull/1423 | Imppres | Here is what I get:
```
aclifton@pop-os:~/hf_datasets_sprint/datasets$ git stash
datasets/wiki_movies/README.md: needs merge
datasets/wiki_movies/dataset_infos.json: needs merge
datasets/wiki_movies/wiki_movies.py: needs merge
``` | 2nd PR ever! Hopefully I'm starting to get the hang of this. This is for the IMPPRES dataset. Please let me know of any corrections or changes that need to be made. | 19 | text: Imppres
2nd PR ever! Hopefully I'm starting to get the hang of this. This is for the IMPPRES dataset. Please let me know of any corrections or changes that need to be made.
Here is what I get:
```
aclifton@pop-os:~/hf_datasets_sprint/datasets$ git stash
datasets/wiki_movies/README.md: needs merge
datasets/wiki_movies/dataset_infos.json: needs merge
datasets/wiki_movies/wiki_movies.py: needs merge
``` | [
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https://github.com/huggingface/datasets/pull/1423 | Imppres | Ok I see
Looks like you're in a `merge` process.
You can abort it with `git reset --merge`
Then `git checkout master` should work | 2nd PR ever! Hopefully I'm starting to get the hang of this. This is for the IMPPRES dataset. Please let me know of any corrections or changes that need to be made. | 24 | text: Imppres
2nd PR ever! Hopefully I'm starting to get the hang of this. This is for the IMPPRES dataset. Please let me know of any corrections or changes that need to be made.
Ok I see
Looks like you're in a `merge` process.
You can abort it with `git reset --merge`
Then `git checkout master` should work | [
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] |
https://github.com/huggingface/datasets/pull/1423 | Imppres | So close! I got the new branch made and went through all the tests. When I went to push, I got the following:
```
aclifton@pop-os:~/hf_datasets_sprint/datasets$ git push -u origin imppres
Username for 'https://github.com': aclifton314
Password for 'https://aclifton314@github.com':
To https://github.com/aclifton314/datasets
! [rejected] imppres -> imppres (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.
``` | 2nd PR ever! Hopefully I'm starting to get the hang of this. This is for the IMPPRES dataset. Please let me know of any corrections or changes that need to be made. | 95 | text: Imppres
2nd PR ever! Hopefully I'm starting to get the hang of this. This is for the IMPPRES dataset. Please let me know of any corrections or changes that need to be made.
So close! I got the new branch made and went through all the tests. When I went to push, I got the following:
```
aclifton@pop-os:~/hf_datasets_sprint/datasets$ git push -u origin imppres
Username for 'https://github.com': aclifton314
Password for 'https://aclifton314@github.com':
To https://github.com/aclifton314/datasets
! [rejected] imppres -> imppres (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/1419 | Add Turkish News Category Dataset (270K) | @SBrandeis,
Sorry. All of the latest version came to my branch. You can find final version.
Resubmitted as a clean final version of #1466
I have completed all the review comments. | This PR adds the Turkish News Categories Dataset (270K) dataset which is a text classification dataset by me and @yavuzKomecoglu. Turkish news dataset consisting of **273601 news** in **17 categories**, compiled from printed media and news websites between 2010 and 2017 by the [Interpress](https://www.interpress.com/) media monitoring company.
| 31 | text: Add Turkish News Category Dataset (270K)
This PR adds the Turkish News Categories Dataset (270K) dataset which is a text classification dataset by me and @yavuzKomecoglu. Turkish news dataset consisting of **273601 news** in **17 categories**, compiled from printed media and news websites between 2010 and 2017 by the [Interpress](https://www.interpress.com/) media monitoring company.
@SBrandeis,
Sorry. All of the latest version came to my branch. You can find final version.
Resubmitted as a clean final version of #1466
I have completed all the review comments. | [
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https://github.com/huggingface/datasets/pull/1415 | Add Hate Speech and Offensive Language Detection dataset | @lhoestq done! The failing testes don't seem to be related, it seems to be a connection issue, if I understand it correctly. | Add [Hate Speech and Offensive Language Detection dataset](https://github.com/t-davidson/hate-speech-and-offensive-language) from [this paper](https://arxiv.org/abs/1703.04009). | 22 | text: Add Hate Speech and Offensive Language Detection dataset
Add [Hate Speech and Offensive Language Detection dataset](https://github.com/t-davidson/hate-speech-and-offensive-language) from [this paper](https://arxiv.org/abs/1703.04009).
@lhoestq done! The failing testes don't seem to be related, it seems to be a connection issue, if I understand it correctly. | [
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https://github.com/huggingface/datasets/pull/1413 | Add OffComBR | Hello @hugoabonizio, thanks for the contribution.
Regarding the fake data, you can generate it manually.
Running the `python datasets-cli dummy_data datasets/offcombr` should give you instructions on how to manually create the dummy data.
For reference, here is a spec for `.arff` files : https://www.cs.waikato.ac.nz/ml/weka/arff.html | Add [OffComBR](https://github.com/rogersdepelle/OffComBR) from [Offensive Comments in the Brazilian Web: a dataset and baseline results](https://sol.sbc.org.br/index.php/brasnam/article/view/3260/3222) paper.
But I'm having a hard time generating dummy data since the original dataset extion is `.arff` and the [_create_dummy_data function](https://github.com/huggingface/datasets/blob/a4aeaf911240057286a01bff1b1d75a89aedd57b/src/datasets/commands/dummy_data.py#L185) doesn't allow it. | 44 | text: Add OffComBR
Add [OffComBR](https://github.com/rogersdepelle/OffComBR) from [Offensive Comments in the Brazilian Web: a dataset and baseline results](https://sol.sbc.org.br/index.php/brasnam/article/view/3260/3222) paper.
But I'm having a hard time generating dummy data since the original dataset extion is `.arff` and the [_create_dummy_data function](https://github.com/huggingface/datasets/blob/a4aeaf911240057286a01bff1b1d75a89aedd57b/src/datasets/commands/dummy_data.py#L185) doesn't allow it.
Hello @hugoabonizio, thanks for the contribution.
Regarding the fake data, you can generate it manually.
Running the `python datasets-cli dummy_data datasets/offcombr` should give you instructions on how to manually create the dummy data.
For reference, here is a spec for `.arff` files : https://www.cs.waikato.ac.nz/ml/weka/arff.html | [
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https://github.com/huggingface/datasets/pull/1409 | Adding the ASSIN dataset | I wrongly commited data from another branch in this PR, I'll close this a reopen another PR with the fixed branch | Adding the ASSIN dataset, a Portuguese language dataset for Natural Language Inference and Semantic Similarity Scoring | 21 | text: Adding the ASSIN dataset
Adding the ASSIN dataset, a Portuguese language dataset for Natural Language Inference and Semantic Similarity Scoring
I wrongly commited data from another branch in this PR, I'll close this a reopen another PR with the fixed branch | [
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https://github.com/huggingface/datasets/pull/1407 | Add Tweet Eval Dataset | Hi @lhoestq,
Seeing that it has been almost two months to this draft, I'm willing to take this forward if you and @abhishekkrthakur don't mind. :) | 26 | text: Add Tweet Eval Dataset
Hi @lhoestq,
Seeing that it has been almost two months to this draft, I'm willing to take this forward if you and @abhishekkrthakur don't mind. :) | [
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|
https://github.com/huggingface/datasets/pull/1405 | Adding TaPaCo Dataset with README.md | We want to keep the repo as light as possible so that it doesn't take ages to clone, that's why we ask for small dummy data files (especially when there are many of them). Let me know if you have questions or if we can help you on this | 49 | text: Adding TaPaCo Dataset with README.md
We want to keep the repo as light as possible so that it doesn't take ages to clone, that's why we ask for small dummy data files (especially when there are many of them). Let me know if you have questions or if we can help you on this | [
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|
https://github.com/huggingface/datasets/pull/1405 | Adding TaPaCo Dataset with README.md | Hello @lhoestq , made the changes as you suggested and pushed, please review. By default, the dummy data was generated the way it was by the dummy data auto generate command. Thank you. | 33 | text: Adding TaPaCo Dataset with README.md
Hello @lhoestq , made the changes as you suggested and pushed, please review. By default, the dummy data was generated the way it was by the dummy data auto generate command. Thank you. | [
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|
https://github.com/huggingface/datasets/pull/1402 | adding covid-tweets-japanese (again) | Thank you for your detailed code review! It's so helpful.
I'll reflect them to the code in 24 hours.
You may have told me in Slack (I cannot find the conversation log though I've looked through threads), but I'm sorry it seems I'm still misunderstanding how to get YAML from the tagger.
I'm now asking on Slack if I am looking at the tagger the wrong way. | I had mistaken use git rebase, I was so hurried to fix it. However, I didn't fully consider the use of git reset , so I unintendedly stopped PR (#1367) altogether. Sorry about that.
I'll make a new PR. | 67 | text: adding covid-tweets-japanese (again)
I had mistaken use git rebase, I was so hurried to fix it. However, I didn't fully consider the use of git reset , so I unintendedly stopped PR (#1367) altogether. Sorry about that.
I'll make a new PR.
Thank you for your detailed code review! It's so helpful.
I'll reflect them to the code in 24 hours.
You may have told me in Slack (I cannot find the conversation log though I've looked through threads), but I'm sorry it seems I'm still misunderstanding how to get YAML from the tagger.
I'm now asking on Slack if I am looking at the tagger the wrong way. | [
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] |
https://github.com/huggingface/datasets/pull/1402 | adding covid-tweets-japanese (again) | One more thing I'd like to ask.
Should I make changes by myself, or can I use the "Commit suggestion" feature?
I'm new to this feature and I don't know how the rules work in this repository, so I'd like to ask just in case. | I had mistaken use git rebase, I was so hurried to fix it. However, I didn't fully consider the use of git reset , so I unintendedly stopped PR (#1367) altogether. Sorry about that.
I'll make a new PR. | 45 | text: adding covid-tweets-japanese (again)
I had mistaken use git rebase, I was so hurried to fix it. However, I didn't fully consider the use of git reset , so I unintendedly stopped PR (#1367) altogether. Sorry about that.
I'll make a new PR.
One more thing I'd like to ask.
Should I make changes by myself, or can I use the "Commit suggestion" feature?
I'm new to this feature and I don't know how the rules work in this repository, so I'd like to ask just in case. | [
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https://github.com/huggingface/datasets/pull/1401 | Add reasoning_bg | Hi @saradhix have you had the chance to reduce the size of the dummy data ?
Feel free to ping me when it's done so we can merge :) | Adding reading comprehension dataset for Bulgarian language | 29 | text: Add reasoning_bg
Adding reading comprehension dataset for Bulgarian language
Hi @saradhix have you had the chance to reduce the size of the dummy data ?
Feel free to ping me when it's done so we can merge :) | [
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https://github.com/huggingface/datasets/pull/1401 | Add reasoning_bg | The CI errors are not related to your dataset.
They're fixed on master, you can ignore them | Adding reading comprehension dataset for Bulgarian language | 17 | text: Add reasoning_bg
Adding reading comprehension dataset for Bulgarian language
The CI errors are not related to your dataset.
They're fixed on master, you can ignore them | [
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https://github.com/huggingface/datasets/pull/1396 | initial commit for MultiReQA for second PR | Subsequent [PR #1426 ](https://github.com/huggingface/datasets/pull/1426) since this PR has uploaded other files along with the MultiReQA dataset. | Since last PR #1349 had some issues passing the tests. So, a new PR is generated. | 16 | text: initial commit for MultiReQA for second PR
Since last PR #1349 had some issues passing the tests. So, a new PR is generated.
Subsequent [PR #1426 ](https://github.com/huggingface/datasets/pull/1426) since this PR has uploaded other files along with the MultiReQA dataset. | [
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https://github.com/huggingface/datasets/pull/1389 | add amazon polarity dataset | `amazon_polarity` is probably a subset of `amazon_us_reviews` but I am not entirely sure about that.
I guess `amazon_polarity` will help in reproducing results of papers using this dataset since even if it is a subset from `amazon_us_reviews`, it is not trivial how to extract `amazon_polarity` from `amazon_us_reviews`, especially since `amazon_us_reviews` was released after `amazon_polarity`. | This corresponds to the amazon (binary dataset) requested in https://github.com/huggingface/datasets/issues/353 | 54 | text: add amazon polarity dataset
This corresponds to the amazon (binary dataset) requested in https://github.com/huggingface/datasets/issues/353
`amazon_polarity` is probably a subset of `amazon_us_reviews` but I am not entirely sure about that.
I guess `amazon_polarity` will help in reproducing results of papers using this dataset since even if it is a subset from `amazon_us_reviews`, it is not trivial how to extract `amazon_polarity` from `amazon_us_reviews`, especially since `amazon_us_reviews` was released after `amazon_polarity`. | [
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https://github.com/huggingface/datasets/pull/1389 | add amazon polarity dataset | do you know what the problem would be ? should I pull the master before ? @lhoestq | This corresponds to the amazon (binary dataset) requested in https://github.com/huggingface/datasets/issues/353 | 17 | text: add amazon polarity dataset
This corresponds to the amazon (binary dataset) requested in https://github.com/huggingface/datasets/issues/353
do you know what the problem would be ? should I pull the master before ? @lhoestq | [
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https://github.com/huggingface/datasets/pull/1389 | add amazon polarity dataset | The error just appeared on master. I will try to fix it today.
You can ignore them since it's not related to the dataset you added | This corresponds to the amazon (binary dataset) requested in https://github.com/huggingface/datasets/issues/353 | 26 | text: add amazon polarity dataset
This corresponds to the amazon (binary dataset) requested in https://github.com/huggingface/datasets/issues/353
The error just appeared on master. I will try to fix it today.
You can ignore them since it's not related to the dataset you added | [
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https://github.com/huggingface/datasets/pull/1387 | Add LIAR dataset | @lhoestq done! The failing testes don't seem to be related, it seems to be a connection issue, if I understand it correctly. | Add LIAR dataset from [“Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection](https://www.aclweb.org/anthology/P17-2067/). | 22 | text: Add LIAR dataset
Add LIAR dataset from [“Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection](https://www.aclweb.org/anthology/P17-2067/).
@lhoestq done! The failing testes don't seem to be related, it seems to be a connection issue, if I understand it correctly. | [
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https://github.com/huggingface/datasets/pull/1386 | Add RecipeNLG Dataset (manual download) | @lhoestq yes. I asked the authors for direct link but unfortunately we need to fill a form (captcha) | 18 | text: Add RecipeNLG Dataset (manual download)
@lhoestq yes. I asked the authors for direct link but unfortunately we need to fill a form (captcha) | [
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|
https://github.com/huggingface/datasets/pull/1383 | added conv ai 2 | @lhoestq Thank you for the suggestions. I added the changes to the branch and seems after rebasing it to master, all the commits previous commits got added. Should I create a new PR or should I keep this one only ? | Dataset : https://github.com/DeepPavlov/convai/tree/master/2018 | 41 | text: added conv ai 2
Dataset : https://github.com/DeepPavlov/convai/tree/master/2018
@lhoestq Thank you for the suggestions. I added the changes to the branch and seems after rebasing it to master, all the commits previous commits got added. Should I create a new PR or should I keep this one only ? | [
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https://github.com/huggingface/datasets/pull/1381 | Add twi text c3 | looks like this PR includes changes about other datasets
Can you only include the changes related to twi text c3 please ? | Added Twi texts for training embeddings and language models based on the paper https://www.aclweb.org/anthology/2020.lrec-1.335/ | 22 | text: Add twi text c3
Added Twi texts for training embeddings and language models based on the paper https://www.aclweb.org/anthology/2020.lrec-1.335/
looks like this PR includes changes about other datasets
Can you only include the changes related to twi text c3 please ? | [
0.06285995244979858,
-0.5046782493591309,
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https://github.com/huggingface/datasets/pull/1381 | Add twi text c3 | You might need to either find a way to go back to the commit before it changes 389 files or create a new branch. | Added Twi texts for training embeddings and language models based on the paper https://www.aclweb.org/anthology/2020.lrec-1.335/ | 24 | text: Add twi text c3
Added Twi texts for training embeddings and language models based on the paper https://www.aclweb.org/anthology/2020.lrec-1.335/
You might need to either find a way to go back to the commit before it changes 389 files or create a new branch. | [
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https://github.com/huggingface/datasets/pull/1379 | Add yoruba text c3 | Thanks for the review. I'm a bit confused how to remove the files. Every time I add a new branch name using the following commands:
git fetch upstream
git rebase upstream/master
git checkout -b a-descriptive-name-for-my-changes
and push to the origin, this issue occurs | Added Yoruba texts for training embeddings and language models based on the paper https://www.aclweb.org/anthology/2020.lrec-1.335/ | 43 | text: Add yoruba text c3
Added Yoruba texts for training embeddings and language models based on the paper https://www.aclweb.org/anthology/2020.lrec-1.335/
Thanks for the review. I'm a bit confused how to remove the files. Every time I add a new branch name using the following commands:
git fetch upstream
git rebase upstream/master
git checkout -b a-descriptive-name-for-my-changes
and push to the origin, this issue occurs | [
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https://github.com/huggingface/datasets/pull/1379 | Add yoruba text c3 | Can you try to create the branch from the master branch of your fork ?
first update your master branch:
```
git checkout master
git fetch upstream
git rebase upstream/master
git push
```
then create a new one:
```
git checkout -b my-new-branch
``` | Added Yoruba texts for training embeddings and language models based on the paper https://www.aclweb.org/anthology/2020.lrec-1.335/ | 44 | text: Add yoruba text c3
Added Yoruba texts for training embeddings and language models based on the paper https://www.aclweb.org/anthology/2020.lrec-1.335/
Can you try to create the branch from the master branch of your fork ?
first update your master branch:
```
git checkout master
git fetch upstream
git rebase upstream/master
git push
```
then create a new one:
```
git checkout -b my-new-branch
``` | [
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https://github.com/huggingface/datasets/pull/1379 | Add yoruba text c3 | I think you were still having the files because you were creating the new branch from a branch in which you've committed the files, instead of creating the new branch from the master branch | Added Yoruba texts for training embeddings and language models based on the paper https://www.aclweb.org/anthology/2020.lrec-1.335/ | 34 | text: Add yoruba text c3
Added Yoruba texts for training embeddings and language models based on the paper https://www.aclweb.org/anthology/2020.lrec-1.335/
I think you were still having the files because you were creating the new branch from a branch in which you've committed the files, instead of creating the new branch from the master branch | [
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https://github.com/huggingface/datasets/pull/1379 | Add yoruba text c3 | @lhoestq , I have removed the unnecessary files. Looks like I still have one error. How do I resolve this? | Added Yoruba texts for training embeddings and language models based on the paper https://www.aclweb.org/anthology/2020.lrec-1.335/ | 20 | text: Add yoruba text c3
Added Yoruba texts for training embeddings and language models based on the paper https://www.aclweb.org/anthology/2020.lrec-1.335/
@lhoestq , I have removed the unnecessary files. Looks like I still have one error. How do I resolve this? | [
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https://github.com/huggingface/datasets/pull/1379 | Add yoruba text c3 | > @lhoestq , I have removed the unnecessary files. Looks like I still have one error. How do I resolve this?
I think it's connection error on piqa dataset. Can you try triggering the test again? I usually resolve similar issues with:
```
git fetch upstream
git rebase upstream/master
git push -u -f origin your_branch_name
``` | Added Yoruba texts for training embeddings and language models based on the paper https://www.aclweb.org/anthology/2020.lrec-1.335/ | 56 | text: Add yoruba text c3
Added Yoruba texts for training embeddings and language models based on the paper https://www.aclweb.org/anthology/2020.lrec-1.335/
> @lhoestq , I have removed the unnecessary files. Looks like I still have one error. How do I resolve this?
I think it's connection error on piqa dataset. Can you try triggering the test again? I usually resolve similar issues with:
```
git fetch upstream
git rebase upstream/master
git push -u -f origin your_branch_name
``` | [
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https://github.com/huggingface/datasets/pull/1369 | Use passed --cache_dir for modules cache | Hi @lhoestq, I am trying to understand better the logic...
Why do we have a `dynamic_module_path` besides the modules cache path?
```python
DYNAMIC_MODULES_PATH = os.path.join(HF_MODULES_CACHE, "datasets_modules")
```
Moreover, 2 subdirectories (for datasets and for metrics) were created inside it:
```python
DATASETS_PATH = os.path.join(DYNAMIC_MODULES_PATH, "datasets")
METRICS_PATH = os.path.join(DYNAMIC_MODULES_PATH, "metrics")
``` | When passed `--cache_dir` arg:
```shell
python datasets-cli test datasets/<my-dataset-folder> --save_infos --all_configs --cache_dir <my-cache-dir>
```
it is not used for caching the modules, which are cached in the default location at `.cache/huggingface/modules`.
With this fix, the modules will be cached at `<my-cache-dir>/modules`. | 49 | text: Use passed --cache_dir for modules cache
When passed `--cache_dir` arg:
```shell
python datasets-cli test datasets/<my-dataset-folder> --save_infos --all_configs --cache_dir <my-cache-dir>
```
it is not used for caching the modules, which are cached in the default location at `.cache/huggingface/modules`.
With this fix, the modules will be cached at `<my-cache-dir>/modules`.
Hi @lhoestq, I am trying to understand better the logic...
Why do we have a `dynamic_module_path` besides the modules cache path?
```python
DYNAMIC_MODULES_PATH = os.path.join(HF_MODULES_CACHE, "datasets_modules")
```
Moreover, 2 subdirectories (for datasets and for metrics) were created inside it:
```python
DATASETS_PATH = os.path.join(DYNAMIC_MODULES_PATH, "datasets")
METRICS_PATH = os.path.join(DYNAMIC_MODULES_PATH, "metrics")
``` | [
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https://github.com/huggingface/datasets/pull/1369 | Use passed --cache_dir for modules cache | Hi :)
The modules cache path is the path added to `sys.path`.
Therefore inside we need to have a folder that is going to be a package: `datasets_modules`.
This package will contain dynamic modules, i.e. datasets and metrics modules added on-the-fly.
Then we have two sub-modules `datasets_modules.datasets` and `datasets_modules.metrics`.
Maybe we can make things more explicit in the code with some comments explaining the structure, and maybe better variable naming as well..
Also I wanted to say that I started to work on offline loading of modules in #1726 and actually it lead to do similar changes to what you did to control the path where modules are stored. | When passed `--cache_dir` arg:
```shell
python datasets-cli test datasets/<my-dataset-folder> --save_infos --all_configs --cache_dir <my-cache-dir>
```
it is not used for caching the modules, which are cached in the default location at `.cache/huggingface/modules`.
With this fix, the modules will be cached at `<my-cache-dir>/modules`. | 109 | text: Use passed --cache_dir for modules cache
When passed `--cache_dir` arg:
```shell
python datasets-cli test datasets/<my-dataset-folder> --save_infos --all_configs --cache_dir <my-cache-dir>
```
it is not used for caching the modules, which are cached in the default location at `.cache/huggingface/modules`.
With this fix, the modules will be cached at `<my-cache-dir>/modules`.
Hi :)
The modules cache path is the path added to `sys.path`.
Therefore inside we need to have a folder that is going to be a package: `datasets_modules`.
This package will contain dynamic modules, i.e. datasets and metrics modules added on-the-fly.
Then we have two sub-modules `datasets_modules.datasets` and `datasets_modules.metrics`.
Maybe we can make things more explicit in the code with some comments explaining the structure, and maybe better variable naming as well..
Also I wanted to say that I started to work on offline loading of modules in #1726 and actually it lead to do similar changes to what you did to control the path where modules are stored. | [
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https://github.com/huggingface/datasets/pull/1369 | Use passed --cache_dir for modules cache | Hi @lhoestq, I see...
Indeed I was also creating a draft for test_load, to clarify the expected behavior... ;)
So, for the command line:
```sh
python datasets-cli test datasets/<my-dataset-folder> --save_infos --all_configs --cache_dir <my-cache-dir>
```
the `cache_dir` argument refers to dataset cache dir. We do not have control over the modules cache dir, but we would like to have. And if I understand well, you suggest adding another argument `dynamic_module_path`. Am I right? | When passed `--cache_dir` arg:
```shell
python datasets-cli test datasets/<my-dataset-folder> --save_infos --all_configs --cache_dir <my-cache-dir>
```
it is not used for caching the modules, which are cached in the default location at `.cache/huggingface/modules`.
With this fix, the modules will be cached at `<my-cache-dir>/modules`. | 72 | text: Use passed --cache_dir for modules cache
When passed `--cache_dir` arg:
```shell
python datasets-cli test datasets/<my-dataset-folder> --save_infos --all_configs --cache_dir <my-cache-dir>
```
it is not used for caching the modules, which are cached in the default location at `.cache/huggingface/modules`.
With this fix, the modules will be cached at `<my-cache-dir>/modules`.
Hi @lhoestq, I see...
Indeed I was also creating a draft for test_load, to clarify the expected behavior... ;)
So, for the command line:
```sh
python datasets-cli test datasets/<my-dataset-folder> --save_infos --all_configs --cache_dir <my-cache-dir>
```
the `cache_dir` argument refers to dataset cache dir. We do not have control over the modules cache dir, but we would like to have. And if I understand well, you suggest adding another argument `dynamic_module_path`. Am I right? | [
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https://github.com/huggingface/datasets/pull/1369 | Use passed --cache_dir for modules cache | > So, for the command line:
>
> ```shell
> python datasets-cli test datasets/<my-dataset-folder> --save_infos --all_configs --cache_dir <my-cache-dir>
> ```
>
> the `cache_dir` argument refers to dataset cache dir. We do not have control over the modules cache dir, but we would like to have. And if I understand well, you suggest adding another argument `dynamic_module_path`. Am I right?
Yes the cache_dir is used to download files and also so save the dataset arrow files.
This is indeed different from the path for dynamic modules.
I suggested to have `dynamic_module_path` as a parameter but actually this is the parent directory `hf_modules_cache` that we would need (it's the one that is passed to `init_dynamic_modules ` that we need to add to `sys.path`).
Currently it's already possible to override it using the env variable `HF_MODULES_CACHE` but we can imagine having it as a parameter as well.
This way the user controls both the `cache_dir` and the `hf_modules_cache` which are the two places used by the library to read/write stuff.
| When passed `--cache_dir` arg:
```shell
python datasets-cli test datasets/<my-dataset-folder> --save_infos --all_configs --cache_dir <my-cache-dir>
```
it is not used for caching the modules, which are cached in the default location at `.cache/huggingface/modules`.
With this fix, the modules will be cached at `<my-cache-dir>/modules`. | 168 | text: Use passed --cache_dir for modules cache
When passed `--cache_dir` arg:
```shell
python datasets-cli test datasets/<my-dataset-folder> --save_infos --all_configs --cache_dir <my-cache-dir>
```
it is not used for caching the modules, which are cached in the default location at `.cache/huggingface/modules`.
With this fix, the modules will be cached at `<my-cache-dir>/modules`.
> So, for the command line:
>
> ```shell
> python datasets-cli test datasets/<my-dataset-folder> --save_infos --all_configs --cache_dir <my-cache-dir>
> ```
>
> the `cache_dir` argument refers to dataset cache dir. We do not have control over the modules cache dir, but we would like to have. And if I understand well, you suggest adding another argument `dynamic_module_path`. Am I right?
Yes the cache_dir is used to download files and also so save the dataset arrow files.
This is indeed different from the path for dynamic modules.
I suggested to have `dynamic_module_path` as a parameter but actually this is the parent directory `hf_modules_cache` that we would need (it's the one that is passed to `init_dynamic_modules ` that we need to add to `sys.path`).
Currently it's already possible to override it using the env variable `HF_MODULES_CACHE` but we can imagine having it as a parameter as well.
This way the user controls both the `cache_dir` and the `hf_modules_cache` which are the two places used by the library to read/write stuff.
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https://github.com/huggingface/datasets/pull/1369 | Use passed --cache_dir for modules cache | I think #1726 is going to be merged pretty soon. Maybe can work on this as soon as it's merged to avoid doing the same things twice and to avoid conflicts ? | When passed `--cache_dir` arg:
```shell
python datasets-cli test datasets/<my-dataset-folder> --save_infos --all_configs --cache_dir <my-cache-dir>
```
it is not used for caching the modules, which are cached in the default location at `.cache/huggingface/modules`.
With this fix, the modules will be cached at `<my-cache-dir>/modules`. | 32 | text: Use passed --cache_dir for modules cache
When passed `--cache_dir` arg:
```shell
python datasets-cli test datasets/<my-dataset-folder> --save_infos --all_configs --cache_dir <my-cache-dir>
```
it is not used for caching the modules, which are cached in the default location at `.cache/huggingface/modules`.
With this fix, the modules will be cached at `<my-cache-dir>/modules`.
I think #1726 is going to be merged pretty soon. Maybe can work on this as soon as it's merged to avoid doing the same things twice and to avoid conflicts ? | [
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https://github.com/huggingface/datasets/pull/1369 | Use passed --cache_dir for modules cache | I agree. Indeed I took some of your code in one of my last commit, to try to implement the logic you described. | When passed `--cache_dir` arg:
```shell
python datasets-cli test datasets/<my-dataset-folder> --save_infos --all_configs --cache_dir <my-cache-dir>
```
it is not used for caching the modules, which are cached in the default location at `.cache/huggingface/modules`.
With this fix, the modules will be cached at `<my-cache-dir>/modules`. | 23 | text: Use passed --cache_dir for modules cache
When passed `--cache_dir` arg:
```shell
python datasets-cli test datasets/<my-dataset-folder> --save_infos --all_configs --cache_dir <my-cache-dir>
```
it is not used for caching the modules, which are cached in the default location at `.cache/huggingface/modules`.
With this fix, the modules will be cached at `<my-cache-dir>/modules`.
I agree. Indeed I took some of your code in one of my last commit, to try to implement the logic you described. | [
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https://github.com/huggingface/datasets/pull/1368 | Re-adding narrativeqa dataset | @lhoestq I think I've fixed the dummy data - it finally passes! I'll add the model card now. | An update of #309. | 18 | text: Re-adding narrativeqa dataset
An update of #309.
@lhoestq I think I've fixed the dummy data - it finally passes! I'll add the model card now. | [
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https://github.com/huggingface/datasets/pull/1368 | Re-adding narrativeqa dataset | > Awesome thank you !
>
> Could you try to reduce the size of the dummy_data.zip file before we merge ? (it's 300KB right now)
>
> To do so feel free to take a look inside it and remove all the unnecessary files and chunks of text, to only keep a few examples. The idea is to have a zip file that is only a few KB
Ah, it only contains 1 example for each split. I think the problem is that I include an entire story (like in the full dataset). We can probably get away with a summarised version. | An update of #309. | 103 | text: Re-adding narrativeqa dataset
An update of #309.
> Awesome thank you !
>
> Could you try to reduce the size of the dummy_data.zip file before we merge ? (it's 300KB right now)
>
> To do so feel free to take a look inside it and remove all the unnecessary files and chunks of text, to only keep a few examples. The idea is to have a zip file that is only a few KB
Ah, it only contains 1 example for each split. I think the problem is that I include an entire story (like in the full dataset). We can probably get away with a summarised version. | [
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https://github.com/huggingface/datasets/pull/1368 | Re-adding narrativeqa dataset | > Nice thank you, can you make it even lighter if possible ? Something round 10KB would be awesone
> We try to keep the repo light so that it doesn't take ages to clone. So we have to make sure the dummy data are as small as possible for every single dataset.
Have trimmed a little more out of each example now. | An update of #309. | 63 | text: Re-adding narrativeqa dataset
An update of #309.
> Nice thank you, can you make it even lighter if possible ? Something round 10KB would be awesone
> We try to keep the repo light so that it doesn't take ages to clone. So we have to make sure the dummy data are as small as possible for every single dataset.
Have trimmed a little more out of each example now. | [
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https://github.com/huggingface/datasets/pull/1367 | adding covid-tweets-japanese | I think it's because the file you download uncompresses into a file and not a folder so `--autogenerate` couldn't create dummy data for you. See in your dummy_data.zip if there is a file there. If not, manually create your dummy data and compress them to dummy_data.zip. | Adding COVID-19 Japanese Tweets Dataset as part of the sprint.
Testing with dummy data is not working (the file is said to not exist). Sorry for the incomplete PR. | 46 | text: adding covid-tweets-japanese
Adding COVID-19 Japanese Tweets Dataset as part of the sprint.
Testing with dummy data is not working (the file is said to not exist). Sorry for the incomplete PR.
I think it's because the file you download uncompresses into a file and not a folder so `--autogenerate` couldn't create dummy data for you. See in your dummy_data.zip if there is a file there. If not, manually create your dummy data and compress them to dummy_data.zip. | [
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https://github.com/huggingface/datasets/pull/1367 | adding covid-tweets-japanese | @cstorm125 Thank you for the comment!
As you point out, it seems my code has something wrong about downloading and uncompressing the file.
However, my manually created dummy data seems to contain a file of the required format.
On Colaboratory,
`!unzip /content/datasets/datasets/covid_tweets_japanese/dummy/1.1.0/dummy_data.zip`
returns:
```
Archive: /content/datasets/datasets/covid_tweets_japanese/dummy/1.1.0/dummy_data.zip
creating: content/datasets/datasets/covid_tweets_japanese/dummy/1.1.0/dummy_data/
extracting: content/datasets/datasets/covid_tweets_japanese/dummy/1.1.0/dummy_data/data.csv.bz2
```
The original data is `data.csv.bz2`, and I had a very hard time dealing with uncompressing bzip2.
I think I could handle it, but there may be problems remain. | Adding COVID-19 Japanese Tweets Dataset as part of the sprint.
Testing with dummy data is not working (the file is said to not exist). Sorry for the incomplete PR. | 79 | text: adding covid-tweets-japanese
Adding COVID-19 Japanese Tweets Dataset as part of the sprint.
Testing with dummy data is not working (the file is said to not exist). Sorry for the incomplete PR.
@cstorm125 Thank you for the comment!
As you point out, it seems my code has something wrong about downloading and uncompressing the file.
However, my manually created dummy data seems to contain a file of the required format.
On Colaboratory,
`!unzip /content/datasets/datasets/covid_tweets_japanese/dummy/1.1.0/dummy_data.zip`
returns:
```
Archive: /content/datasets/datasets/covid_tweets_japanese/dummy/1.1.0/dummy_data.zip
creating: content/datasets/datasets/covid_tweets_japanese/dummy/1.1.0/dummy_data/
extracting: content/datasets/datasets/covid_tweets_japanese/dummy/1.1.0/dummy_data/data.csv.bz2
```
The original data is `data.csv.bz2`, and I had a very hard time dealing with uncompressing bzip2.
I think I could handle it, but there may be problems remain. | [
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https://github.com/huggingface/datasets/pull/1364 | Narrative QA (Manual Download Stories) Dataset | Hi ! Maybe we can rename it `narrativeqa_manual` to make it explicit that this one requires manual download contrary to `narrativeqa` ?
It's important to have this one as well, in case the `narrativeqa` one suffers from download issues (checksums or dead links for example).
You can also copy the dataset card from `narrativeqa` and add the dummy data as well | Narrative QA with manual download for stories. | 61 | text: Narrative QA (Manual Download Stories) Dataset
Narrative QA with manual download for stories.
Hi ! Maybe we can rename it `narrativeqa_manual` to make it explicit that this one requires manual download contrary to `narrativeqa` ?
It's important to have this one as well, in case the `narrativeqa` one suffers from download issues (checksums or dead links for example).
You can also copy the dataset card from `narrativeqa` and add the dummy data as well | [
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https://github.com/huggingface/datasets/pull/1361 | adding bprec | @lhoestq I think this is ready for review, I assume the errors (connection) are unrelated to the PR :) | Brand-Product Relation Extraction Corpora in Polish | 19 | text: adding bprec
Brand-Product Relation Extraction Corpora in Polish
@lhoestq I think this is ready for review, I assume the errors (connection) are unrelated to the PR :) | [
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https://github.com/huggingface/datasets/pull/1357 | Youtube caption corrections | Sorry about forgetting flake8.
Rather than use up the circleci resources on a new push with only formatting changes, I will wait to push until the results from all tests finish and/or any feedback comes in... probably tomorrow for me. | This PR adds a new dataset of YouTube captions, error and corrections. This dataset was created in just the last week, as inspired by this sprint! | 40 | text: Youtube caption corrections
This PR adds a new dataset of YouTube captions, error and corrections. This dataset was created in just the last week, as inspired by this sprint!
Sorry about forgetting flake8.
Rather than use up the circleci resources on a new push with only formatting changes, I will wait to push until the results from all tests finish and/or any feedback comes in... probably tomorrow for me. | [
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https://github.com/huggingface/datasets/pull/1357 | Youtube caption corrections |
So... my normal work is with mercurial and seem to have clearly forked this up using git... :(
What I did is after calling:
```
git fetch upstream
git rebase upstream/master
```
I then I attempt to pull in my most recent changes UI commit changes based on @lhoestq's feedback with:
```
git pull
```
... which I now suspect undid the above fetch and rebase. Will look into fixing later today when I have more time. Sorry!
| This PR adds a new dataset of YouTube captions, error and corrections. This dataset was created in just the last week, as inspired by this sprint! | 78 | text: Youtube caption corrections
This PR adds a new dataset of YouTube captions, error and corrections. This dataset was created in just the last week, as inspired by this sprint!
So... my normal work is with mercurial and seem to have clearly forked this up using git... :(
What I did is after calling:
```
git fetch upstream
git rebase upstream/master
```
I then I attempt to pull in my most recent changes UI commit changes based on @lhoestq's feedback with:
```
git pull
```
... which I now suspect undid the above fetch and rebase. Will look into fixing later today when I have more time. Sorry!
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https://github.com/huggingface/datasets/pull/1357 | Youtube caption corrections | My dummy data seems quite large as a single row is composed of tokens/labels for an entire youtube video, with at least one row required for each file, which in this case 1 file per 13 youtube channels.
To make it smaller I passed `--n_lines 1` to reduce about 5x.
I then manually reduced size of the particularly long youtube lectures to get the size to about 30KB. However, after recompressing into a zip, and running dummy data test I got the following error:
`FAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_youtube_caption_corrections - OSError: Cannot find data file. `, despite file being there, which I haven't had a chance yet to debug. | This PR adds a new dataset of YouTube captions, error and corrections. This dataset was created in just the last week, as inspired by this sprint! | 106 | text: Youtube caption corrections
This PR adds a new dataset of YouTube captions, error and corrections. This dataset was created in just the last week, as inspired by this sprint!
My dummy data seems quite large as a single row is composed of tokens/labels for an entire youtube video, with at least one row required for each file, which in this case 1 file per 13 youtube channels.
To make it smaller I passed `--n_lines 1` to reduce about 5x.
I then manually reduced size of the particularly long youtube lectures to get the size to about 30KB. However, after recompressing into a zip, and running dummy data test I got the following error:
`FAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_youtube_caption_corrections - OSError: Cannot find data file. `, despite file being there, which I haven't had a chance yet to debug. | [
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https://github.com/huggingface/datasets/pull/1357 | Youtube caption corrections | I wrote a small script to generate a smaller json file for the dummy_data, with the hope that I could resolve the pytest error noted above (in case related to a manual typo I could have introduce), however the test contains to fail locally... here's to hoping it can pass on remote! | This PR adds a new dataset of YouTube captions, error and corrections. This dataset was created in just the last week, as inspired by this sprint! | 52 | text: Youtube caption corrections
This PR adds a new dataset of YouTube captions, error and corrections. This dataset was created in just the last week, as inspired by this sprint!
I wrote a small script to generate a smaller json file for the dummy_data, with the hope that I could resolve the pytest error noted above (in case related to a manual typo I could have introduce), however the test contains to fail locally... here's to hoping it can pass on remote! | [
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https://github.com/huggingface/datasets/pull/1357 | Youtube caption corrections | Sorry for delayed comments here. Last commit made two changes:
- Increased the valency of the labels from just True/False to more categories to describe the various types of diffs encountered. This required some rewrite of the README
- Reduced the number of remote files to be downloaded from 13 to 4, by combining all 13 of the channel-specific files together, and the splitting them up in a way to meet Github file size requirements. This also reduces size of the dummy-data. | This PR adds a new dataset of YouTube captions, error and corrections. This dataset was created in just the last week, as inspired by this sprint! | 82 | text: Youtube caption corrections
This PR adds a new dataset of YouTube captions, error and corrections. This dataset was created in just the last week, as inspired by this sprint!
Sorry for delayed comments here. Last commit made two changes:
- Increased the valency of the labels from just True/False to more categories to describe the various types of diffs encountered. This required some rewrite of the README
- Reduced the number of remote files to be downloaded from 13 to 4, by combining all 13 of the channel-specific files together, and the splitting them up in a way to meet Github file size requirements. This also reduces size of the dummy-data. | [
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https://github.com/huggingface/datasets/pull/1357 | Youtube caption corrections | @lhoestq, thank you for the great feedback, especially given how busy you guys are now!
I checked out GitHub release tags and looks cool. I have added the version tag to the url, instead of the commit sha as originally suggested, with the hope that it serves the same purpose of pinning the content to this url. Please let me know if I have misunderstood.
In regard to dynamically changing the number of files downloaded by first downloading a JSON listing the files, I love that idea. But I am a little confused, as I was thinking that any changes to the dataset itself would require a new PR with an updated `dataset_infos.json`, e.g. `num_examples` would increase.
If the purpose of this is not to permit dynamic (without a PR needed) growth of the number of files, but instead to provide stability to the consumers of the dataset, maybe I continued use the release tags, maintaining access to old releases could serve this purpose? I am still learning about these release tags... | This PR adds a new dataset of YouTube captions, error and corrections. This dataset was created in just the last week, as inspired by this sprint! | 172 | text: Youtube caption corrections
This PR adds a new dataset of YouTube captions, error and corrections. This dataset was created in just the last week, as inspired by this sprint!
@lhoestq, thank you for the great feedback, especially given how busy you guys are now!
I checked out GitHub release tags and looks cool. I have added the version tag to the url, instead of the commit sha as originally suggested, with the hope that it serves the same purpose of pinning the content to this url. Please let me know if I have misunderstood.
In regard to dynamically changing the number of files downloaded by first downloading a JSON listing the files, I love that idea. But I am a little confused, as I was thinking that any changes to the dataset itself would require a new PR with an updated `dataset_infos.json`, e.g. `num_examples` would increase.
If the purpose of this is not to permit dynamic (without a PR needed) growth of the number of files, but instead to provide stability to the consumers of the dataset, maybe I continued use the release tags, maintaining access to old releases could serve this purpose? I am still learning about these release tags... | [
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https://github.com/huggingface/datasets/pull/1357 | Youtube caption corrections | For dynamic datasets, i.e. datasets that evolve over time, we support custom configurations: they are configurations that are not part of the BUILDER_CONFIGS or in the dataset_infos.json
For example for wikipedia, you can use the latest wiki dump by specifying `date=` inside `load_dataset()`. A configuration is created on the fly for this date and is used to build the dataset using the latest data.
Therefore we don't need to have PRs to update the script for each wikipedia release.
One downside though is that we don't have metadata in advance such as the size of the dataset.
I think this could be a nice addition for the youtube caption dataset in the future to be have a system of releases and be able to load the version we want easily. What do you think ? | This PR adds a new dataset of YouTube captions, error and corrections. This dataset was created in just the last week, as inspired by this sprint! | 135 | text: Youtube caption corrections
This PR adds a new dataset of YouTube captions, error and corrections. This dataset was created in just the last week, as inspired by this sprint!
For dynamic datasets, i.e. datasets that evolve over time, we support custom configurations: they are configurations that are not part of the BUILDER_CONFIGS or in the dataset_infos.json
For example for wikipedia, you can use the latest wiki dump by specifying `date=` inside `load_dataset()`. A configuration is created on the fly for this date and is used to build the dataset using the latest data.
Therefore we don't need to have PRs to update the script for each wikipedia release.
One downside though is that we don't have metadata in advance such as the size of the dataset.
I think this could be a nice addition for the youtube caption dataset in the future to be have a system of releases and be able to load the version we want easily. What do you think ? | [
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https://github.com/huggingface/datasets/pull/1357 | Youtube caption corrections |
> For dynamic datasets, i.e. datasets that evolve over time, we support custom configurations: they are configurations that are not part of the BUILDER_CONFIGS or in the dataset_infos.json
>
> I think this could be a nice addition for the youtube caption dataset in the future to be have a system of releases and be able to load the version we want easily. What do you think ?
Thank you for the suggestion! This sounds great! I will take a look at the some datasets that do this, and would love to give it a try in the future, if I continue to grow the captions dataset in a meaningful way.
Appreciate all the help on this. It has been a really great experience for me. :) | This PR adds a new dataset of YouTube captions, error and corrections. This dataset was created in just the last week, as inspired by this sprint! | 127 | text: Youtube caption corrections
This PR adds a new dataset of YouTube captions, error and corrections. This dataset was created in just the last week, as inspired by this sprint!
> For dynamic datasets, i.e. datasets that evolve over time, we support custom configurations: they are configurations that are not part of the BUILDER_CONFIGS or in the dataset_infos.json
>
> I think this could be a nice addition for the youtube caption dataset in the future to be have a system of releases and be able to load the version we want easily. What do you think ?
Thank you for the suggestion! This sounds great! I will take a look at the some datasets that do this, and would love to give it a try in the future, if I continue to grow the captions dataset in a meaningful way.
Appreciate all the help on this. It has been a really great experience for me. :) | [
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https://github.com/huggingface/datasets/pull/1357 | Youtube caption corrections | Excited to merge! And sorry to be such a github n00b, but from what I've quickly read, I don't 'Close pull request', but rather the next steps are action taken on your end... Please let me know if there is some action to be taken at my end first. :/ | This PR adds a new dataset of YouTube captions, error and corrections. This dataset was created in just the last week, as inspired by this sprint! | 50 | text: Youtube caption corrections
This PR adds a new dataset of YouTube captions, error and corrections. This dataset was created in just the last week, as inspired by this sprint!
Excited to merge! And sorry to be such a github n00b, but from what I've quickly read, I don't 'Close pull request', but rather the next steps are action taken on your end... Please let me know if there is some action to be taken at my end first. :/ | [
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https://github.com/huggingface/datasets/pull/1356 | Add StackOverflow StackSample dataset | @lhoestq Thanks for the review and suggestions! I've added your comments and pushed the changes. I'm having issues with the dummy data still. When I run the dummy data test
```bash
RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_so_stacksample
```
I get this error:
```
___________________________________________ LocalDatasetTest.test_load_dataset_all_configs_so_stacksample ____________________________________________
self = <tests.test_dataset_common.LocalDatasetTest testMethod=test_load_dataset_all_configs_so_stacksample>, dataset_name = 'so_stacksample'
@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
FAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_so_stacksample - AssertionError: False is not true
```
I tried formatting the data similar to other datasets, but I think I don't have my csv's in the zip folder with the proper name. I also ran the command that's supposed to outline the exact steps I need to perform to get them into the correct format, but I followed them and they don't seem to be working still :/. Any help would be greatly appreciated!
| This PR adds the StackOverflow StackSample dataset from Kaggle: https://www.kaggle.com/stackoverflow/stacksample
Ran through all of the steps. However, since my dataset requires manually downloading the data, I was unable to run the pytest on the real dataset (the dummy data pytest passed). | 226 | text: Add StackOverflow StackSample dataset
This PR adds the StackOverflow StackSample dataset from Kaggle: https://www.kaggle.com/stackoverflow/stacksample
Ran through all of the steps. However, since my dataset requires manually downloading the data, I was unable to run the pytest on the real dataset (the dummy data pytest passed).
@lhoestq Thanks for the review and suggestions! I've added your comments and pushed the changes. I'm having issues with the dummy data still. When I run the dummy data test
```bash
RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_so_stacksample
```
I get this error:
```
___________________________________________ LocalDatasetTest.test_load_dataset_all_configs_so_stacksample ____________________________________________
self = <tests.test_dataset_common.LocalDatasetTest testMethod=test_load_dataset_all_configs_so_stacksample>, dataset_name = 'so_stacksample'
@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
FAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_so_stacksample - AssertionError: False is not true
```
I tried formatting the data similar to other datasets, but I think I don't have my csv's in the zip folder with the proper name. I also ran the command that's supposed to outline the exact steps I need to perform to get them into the correct format, but I followed them and they don't seem to be working still :/. Any help would be greatly appreciated!
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https://github.com/huggingface/datasets/pull/1356 | Add StackOverflow StackSample dataset | Ok I found the issue with the dummy data.
It's currently failing because it's not generating a single example using the dummy csv file.
That's because there's only only line in the dummy csv file, and this line is skipped using the `next()` call used to ignore the headers of the csv.
To fix the dummy data you must add headers to the dummy csv files. | This PR adds the StackOverflow StackSample dataset from Kaggle: https://www.kaggle.com/stackoverflow/stacksample
Ran through all of the steps. However, since my dataset requires manually downloading the data, I was unable to run the pytest on the real dataset (the dummy data pytest passed). | 66 | text: Add StackOverflow StackSample dataset
This PR adds the StackOverflow StackSample dataset from Kaggle: https://www.kaggle.com/stackoverflow/stacksample
Ran through all of the steps. However, since my dataset requires manually downloading the data, I was unable to run the pytest on the real dataset (the dummy data pytest passed).
Ok I found the issue with the dummy data.
It's currently failing because it's not generating a single example using the dummy csv file.
That's because there's only only line in the dummy csv file, and this line is skipped using the `next()` call used to ignore the headers of the csv.
To fix the dummy data you must add headers to the dummy csv files. | [
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https://github.com/huggingface/datasets/pull/1356 | Add StackOverflow StackSample dataset | Also can you make sure that all the original CSV files have headers ? i.e. check that their first line is just the column names | This PR adds the StackOverflow StackSample dataset from Kaggle: https://www.kaggle.com/stackoverflow/stacksample
Ran through all of the steps. However, since my dataset requires manually downloading the data, I was unable to run the pytest on the real dataset (the dummy data pytest passed). | 25 | text: Add StackOverflow StackSample dataset
This PR adds the StackOverflow StackSample dataset from Kaggle: https://www.kaggle.com/stackoverflow/stacksample
Ran through all of the steps. However, since my dataset requires manually downloading the data, I was unable to run the pytest on the real dataset (the dummy data pytest passed).
Also can you make sure that all the original CSV files have headers ? i.e. check that their first line is just the column names | [
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https://github.com/huggingface/datasets/pull/1356 | Add StackOverflow StackSample dataset | > Ok I found the issue with the dummy data.
> It's currently failing because it's not generating a single example using the dummy csv file.
> That's because there's only only line in the dummy csv file, and this line is skipped using the `next()` call used to ignore the headers of the csv.
>
> To fix the dummy data you must add headers to the dummy csv files.
Oh man, I bamboozled myself! Thank you @lhoestq for catching that! I've updated the dummy csv's to include headers and also confirmed that they all have headers, so I am not throwing away any information with that `next()` call. When I run the test locally for the dummy data it passes, so hopefully it is good to go :D | This PR adds the StackOverflow StackSample dataset from Kaggle: https://www.kaggle.com/stackoverflow/stacksample
Ran through all of the steps. However, since my dataset requires manually downloading the data, I was unable to run the pytest on the real dataset (the dummy data pytest passed). | 130 | text: Add StackOverflow StackSample dataset
This PR adds the StackOverflow StackSample dataset from Kaggle: https://www.kaggle.com/stackoverflow/stacksample
Ran through all of the steps. However, since my dataset requires manually downloading the data, I was unable to run the pytest on the real dataset (the dummy data pytest passed).
> Ok I found the issue with the dummy data.
> It's currently failing because it's not generating a single example using the dummy csv file.
> That's because there's only only line in the dummy csv file, and this line is skipped using the `next()` call used to ignore the headers of the csv.
>
> To fix the dummy data you must add headers to the dummy csv files.
Oh man, I bamboozled myself! Thank you @lhoestq for catching that! I've updated the dummy csv's to include headers and also confirmed that they all have headers, so I am not throwing away any information with that `next()` call. When I run the test locally for the dummy data it passes, so hopefully it is good to go :D | [
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https://github.com/huggingface/datasets/pull/1350 | add LeNER-Br dataset | I don't know what happened, my first commit passed on all checks, but after just a README.md update one of the scripts failed, is it normal? 😕 | Adding the LeNER-Br dataset, a Portuguese language dataset for named entity recognition | 27 | text: add LeNER-Br dataset
Adding the LeNER-Br dataset, a Portuguese language dataset for named entity recognition
I don't know what happened, my first commit passed on all checks, but after just a README.md update one of the scripts failed, is it normal? 😕 | [
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https://github.com/huggingface/datasets/pull/1349 | initial commit for MultiReQA | looks like this dataset includes changes about many other files than the ones for multi_re_qa
Can you create another branch and another PR please ? | Added MultiReQA, which is a dataset containing the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. | 25 | text: initial commit for MultiReQA
Added MultiReQA, which is a dataset containing the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA.
looks like this dataset includes changes about many other files than the ones for multi_re_qa
Can you create another branch and another PR please ? | [
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https://github.com/huggingface/datasets/pull/1349 | initial commit for MultiReQA | > looks like this dataset includes changes about many other files than the ones for multi_re_qa
>
> Can you create another branch and another PR please ?
Sure I will do that. Thank you. | Added MultiReQA, which is a dataset containing the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA. | 35 | text: initial commit for MultiReQA
Added MultiReQA, which is a dataset containing the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA.
> looks like this dataset includes changes about many other files than the ones for multi_re_qa
>
> Can you create another branch and another PR please ?
Sure I will do that. Thank you. | [
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https://github.com/huggingface/datasets/pull/1347 | Add spanish billion words corpus | Thank you for your feedback! I've reduced the dummy data size to 2KB.
I had to rebase to fix `RemoteDatasetTest` fails, sorry about the 80 commits.
I could create a new clean PR if you prefer. | Add an unannotated Spanish corpus of nearly 1.5 billion words, compiled from different resources from the web. | 36 | text: Add spanish billion words corpus
Add an unannotated Spanish corpus of nearly 1.5 billion words, compiled from different resources from the web.
Thank you for your feedback! I've reduced the dummy data size to 2KB.
I had to rebase to fix `RemoteDatasetTest` fails, sorry about the 80 commits.
I could create a new clean PR if you prefer. | [
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https://github.com/huggingface/datasets/pull/1347 | Add spanish billion words corpus | I have seen that in similar cases you have suggested to other contributors to create another branch and another PR, so I will do that. | Add an unannotated Spanish corpus of nearly 1.5 billion words, compiled from different resources from the web. | 25 | text: Add spanish billion words corpus
Add an unannotated Spanish corpus of nearly 1.5 billion words, compiled from different resources from the web.
I have seen that in similar cases you have suggested to other contributors to create another branch and another PR, so I will do that. | [
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https://github.com/huggingface/datasets/pull/1339 | hate_speech_18 initial commit | > Nice thanks !
>
> Can you rename the dataset folder and the dataset script name `hate_speech18` instead of `hate_speech_18` to follow the snake case convention we're using ?
>
> Also it looks like the dummy_data.zip file is quite big (almost 4MB).
> Can you try to reduce its size ?
>
> To do so feel free to take a look inside it and remove all the unnecessary files or chunks of texts. The idea is to only keep a few examples
Done, thanks! | 87 | text: hate_speech_18 initial commit
> Nice thanks !
>
> Can you rename the dataset folder and the dataset script name `hate_speech18` instead of `hate_speech_18` to follow the snake case convention we're using ?
>
> Also it looks like the dummy_data.zip file is quite big (almost 4MB).
> Can you try to reduce its size ?
>
> To do so feel free to take a look inside it and remove all the unnecessary files or chunks of texts. The idea is to only keep a few examples
Done, thanks! | [
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|
https://github.com/huggingface/datasets/pull/1337 | Add spanish billion words | The tests failed because of ```RemoteDatasetTest``` so I tried ```git rebase``` and messed everything up. I've made a new clean PR (#1347). | Add an unannotated corpus of the Spanish language of nearly 1.5 billion words, compiled from different resources from the web.
The dataset needs 10 GB (download: 1.89 GiB, generated: 8.34 GiB, post-processed: Unknown size, total: 10.22 GiB), the test using dummy data pass but my laptop isn't able to run it on the real data (I left it running for over 8 hours and it didn't finish). | 22 | text: Add spanish billion words
Add an unannotated corpus of the Spanish language of nearly 1.5 billion words, compiled from different resources from the web.
The dataset needs 10 GB (download: 1.89 GiB, generated: 8.34 GiB, post-processed: Unknown size, total: 10.22 GiB), the test using dummy data pass but my laptop isn't able to run it on the real data (I left it running for over 8 hours and it didn't finish).
The tests failed because of ```RemoteDatasetTest``` so I tried ```git rebase``` and messed everything up. I've made a new clean PR (#1347). | [
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https://github.com/huggingface/datasets/pull/1330 | added un_ga dataset | Looks like this PR includes changes about many other files than the ones for un_ga
Can you create another branch an another PR please ? | Hi :hugs:, This is a PR for [United nations general assembly resolutions: A six-language parallel corpus](http://opus.nlpl.eu/UN.php) dataset | 25 | text: added un_ga dataset
Hi :hugs:, This is a PR for [United nations general assembly resolutions: A six-language parallel corpus](http://opus.nlpl.eu/UN.php) dataset
Looks like this PR includes changes about many other files than the ones for un_ga
Can you create another branch an another PR please ? | [
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https://github.com/huggingface/datasets/pull/1330 | added un_ga dataset | @lhoestq, Thank you for suggestions. I have made the changes and raised the new PR https://github.com/huggingface/datasets/pull/1569. | Hi :hugs:, This is a PR for [United nations general assembly resolutions: A six-language parallel corpus](http://opus.nlpl.eu/UN.php) dataset | 16 | text: added un_ga dataset
Hi :hugs:, This is a PR for [United nations general assembly resolutions: A six-language parallel corpus](http://opus.nlpl.eu/UN.php) dataset
@lhoestq, Thank you for suggestions. I have made the changes and raised the new PR https://github.com/huggingface/datasets/pull/1569. | [
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https://github.com/huggingface/datasets/pull/1323 | Add CC-News dataset of English language articles | @lhoestq @tanmoyio @yjernite please have a look at the dataset card. Don't forget that the dataset is still hosted on my private gs bucket and should eventually be moved to the HF bucket | Adds [CC-News](https://commoncrawl.org/2016/10/news-dataset-available/) dataset. It contains 708241 English language news articles. Although each article has a language field these tags are not reliable. I've used Spacy language detection [pipeline](https://spacy.io/universe/project/spacy-langdetect) to confirm that the article language is indeed English.
The prepared dataset is temporarily hosted on my private Google Storage [bucket](https://storage.googleapis.com/hf_datasets/cc_news.tar.gz). We can move it to HF storage and update this PR before merging. | 33 | text: Add CC-News dataset of English language articles
Adds [CC-News](https://commoncrawl.org/2016/10/news-dataset-available/) dataset. It contains 708241 English language news articles. Although each article has a language field these tags are not reliable. I've used Spacy language detection [pipeline](https://spacy.io/universe/project/spacy-langdetect) to confirm that the article language is indeed English.
The prepared dataset is temporarily hosted on my private Google Storage [bucket](https://storage.googleapis.com/hf_datasets/cc_news.tar.gz). We can move it to HF storage and update this PR before merging.
@lhoestq @tanmoyio @yjernite please have a look at the dataset card. Don't forget that the dataset is still hosted on my private gs bucket and should eventually be moved to the HF bucket | [
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https://github.com/huggingface/datasets/pull/1323 | Add CC-News dataset of English language articles | I will move the files soon and ping you when it's done and with the new URLs :) | Adds [CC-News](https://commoncrawl.org/2016/10/news-dataset-available/) dataset. It contains 708241 English language news articles. Although each article has a language field these tags are not reliable. I've used Spacy language detection [pipeline](https://spacy.io/universe/project/spacy-langdetect) to confirm that the article language is indeed English.
The prepared dataset is temporarily hosted on my private Google Storage [bucket](https://storage.googleapis.com/hf_datasets/cc_news.tar.gz). We can move it to HF storage and update this PR before merging. | 18 | text: Add CC-News dataset of English language articles
Adds [CC-News](https://commoncrawl.org/2016/10/news-dataset-available/) dataset. It contains 708241 English language news articles. Although each article has a language field these tags are not reliable. I've used Spacy language detection [pipeline](https://spacy.io/universe/project/spacy-langdetect) to confirm that the article language is indeed English.
The prepared dataset is temporarily hosted on my private Google Storage [bucket](https://storage.googleapis.com/hf_datasets/cc_news.tar.gz). We can move it to HF storage and update this PR before merging.
I will move the files soon and ping you when it's done and with the new URLs :) | [
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https://github.com/huggingface/datasets/pull/1323 | Add CC-News dataset of English language articles | Hi !
I just moved the file to a HF bucket. It's available at https://storage.googleapis.com/huggingface-nlp/datasets/cc_news/cc_news.tar.gz
Sorry for the delay ^^' | Adds [CC-News](https://commoncrawl.org/2016/10/news-dataset-available/) dataset. It contains 708241 English language news articles. Although each article has a language field these tags are not reliable. I've used Spacy language detection [pipeline](https://spacy.io/universe/project/spacy-langdetect) to confirm that the article language is indeed English.
The prepared dataset is temporarily hosted on my private Google Storage [bucket](https://storage.googleapis.com/hf_datasets/cc_news.tar.gz). We can move it to HF storage and update this PR before merging. | 20 | text: Add CC-News dataset of English language articles
Adds [CC-News](https://commoncrawl.org/2016/10/news-dataset-available/) dataset. It contains 708241 English language news articles. Although each article has a language field these tags are not reliable. I've used Spacy language detection [pipeline](https://spacy.io/universe/project/spacy-langdetect) to confirm that the article language is indeed English.
The prepared dataset is temporarily hosted on my private Google Storage [bucket](https://storage.googleapis.com/hf_datasets/cc_news.tar.gz). We can move it to HF storage and update this PR before merging.
Hi !
I just moved the file to a HF bucket. It's available at https://storage.googleapis.com/huggingface-nlp/datasets/cc_news/cc_news.tar.gz
Sorry for the delay ^^' | [
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https://github.com/huggingface/datasets/pull/1321 | added dutch_social | @lhoestq
Updated the `dummy_data.zip `(<10kb)I had to reduce it to just a few samples.
Train-Test-Dev (20-5-5 samples)
But the push also added changes from other PRs (probably because of a rebase!) So the files changed tab shows 466 files were changed!
| The Dutch social media tweets dataset. Which has a total of more than 210k tweets in dutch language. These tweets have been machine annotated with sentiment scores (`label` feature) and `industry` and `hisco_codes`
It can be used for sentiment analysis, multi-label classification and entity tagging | 41 | text: added dutch_social
The Dutch social media tweets dataset. Which has a total of more than 210k tweets in dutch language. These tweets have been machine annotated with sentiment scores (`label` feature) and `industry` and `hisco_codes`
It can be used for sentiment analysis, multi-label classification and entity tagging
@lhoestq
Updated the `dummy_data.zip `(<10kb)I had to reduce it to just a few samples.
Train-Test-Dev (20-5-5 samples)
But the push also added changes from other PRs (probably because of a rebase!) So the files changed tab shows 466 files were changed!
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https://github.com/huggingface/datasets/pull/1321 | added dutch_social | Thanks ! The dummy data are all good now :)
Looks like this PR includes changes to many other files than the ones for dutch_social now.
Can you create another branch and another PR please ? | The Dutch social media tweets dataset. Which has a total of more than 210k tweets in dutch language. These tweets have been machine annotated with sentiment scores (`label` feature) and `industry` and `hisco_codes`
It can be used for sentiment analysis, multi-label classification and entity tagging | 36 | text: added dutch_social
The Dutch social media tweets dataset. Which has a total of more than 210k tweets in dutch language. These tweets have been machine annotated with sentiment scores (`label` feature) and `industry` and `hisco_codes`
It can be used for sentiment analysis, multi-label classification and entity tagging
Thanks ! The dummy data are all good now :)
Looks like this PR includes changes to many other files than the ones for dutch_social now.
Can you create another branch and another PR please ? | [
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https://github.com/huggingface/datasets/pull/1321 | added dutch_social | >
> Can you create another branch and another PR please ?
@lhoestq
I did a rebase. Now it doesn't include the other files. Does that help?
| The Dutch social media tweets dataset. Which has a total of more than 210k tweets in dutch language. These tweets have been machine annotated with sentiment scores (`label` feature) and `industry` and `hisco_codes`
It can be used for sentiment analysis, multi-label classification and entity tagging | 27 | text: added dutch_social
The Dutch social media tweets dataset. Which has a total of more than 210k tweets in dutch language. These tweets have been machine annotated with sentiment scores (`label` feature) and `industry` and `hisco_codes`
It can be used for sentiment analysis, multi-label classification and entity tagging
>
> Can you create another branch and another PR please ?
@lhoestq
I did a rebase. Now it doesn't include the other files. Does that help?
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https://github.com/huggingface/datasets/pull/1319 | adding wili-2018 language identification dataset | @lhoestq Not sure what happened, I just changed the py file but it is showing some TensorFlow error now. | 19 | text: adding wili-2018 language identification dataset
@lhoestq Not sure what happened, I just changed the py file but it is showing some TensorFlow error now. | [
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|
https://github.com/huggingface/datasets/pull/1319 | adding wili-2018 language identification dataset | You can ignore it.
It's caused by the Tensorflow update that happened 30min ago. They added breaking changes.
I'm working on a fix on the master branch right now
| 29 | text: adding wili-2018 language identification dataset
You can ignore it.
It's caused by the Tensorflow update that happened 30min ago. They added breaking changes.
I'm working on a fix on the master branch right now
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|
https://github.com/huggingface/datasets/pull/1319 | adding wili-2018 language identification dataset | oh okay, btw I have made the required change for reading the CSV, I think it should be fine now, please take a look at it when you have some time. | 31 | text: adding wili-2018 language identification dataset
oh okay, btw I have made the required change for reading the CSV, I think it should be fine now, please take a look at it when you have some time. | [
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|
https://github.com/huggingface/datasets/pull/1318 | ethos first commit | > Nice thanks !
>
> I left a few comments
>
> Also it looks like this PR includes changes about other files than the ones for ethos
>
> Can you create another branch and another PR please ?
@lhoestq Should I close this PR? The new one is the: #1453 | Ethos passed all the tests except from this one:
RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_<your-dataset-name>
with this error:
E OSError: Cannot find data file.
E Original error:
E [Errno 2] No such file or directory: | 53 | text: ethos first commit
Ethos passed all the tests except from this one:
RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_<your-dataset-name>
with this error:
E OSError: Cannot find data file.
E Original error:
E [Errno 2] No such file or directory:
> Nice thanks !
>
> I left a few comments
>
> Also it looks like this PR includes changes about other files than the ones for ethos
>
> Can you create another branch and another PR please ?
@lhoestq Should I close this PR? The new one is the: #1453 | [
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https://github.com/huggingface/datasets/pull/1318 | ethos first commit | > You can create another PR and close this one if you don't mind
Perfect! You should see the #1453 PR for the fixed version! Thanks | Ethos passed all the tests except from this one:
RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_<your-dataset-name>
with this error:
E OSError: Cannot find data file.
E Original error:
E [Errno 2] No such file or directory: | 26 | text: ethos first commit
Ethos passed all the tests except from this one:
RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_<your-dataset-name>
with this error:
E OSError: Cannot find data file.
E Original error:
E [Errno 2] No such file or directory:
> You can create another PR and close this one if you don't mind
Perfect! You should see the #1453 PR for the fixed version! Thanks | [
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https://github.com/huggingface/datasets/pull/1317 | add 10k German News Article Dataset | You can just create another branch from master on your fork and create another PR:
first update your master branch
```
git checkout master
git fetch upstream
git rebase upstream/master
git push
```
then create a new branch
```
git checkout -b my-new-branch-name
```
Then you can add, commit and push the gnad10 files and open a new PR | 59 | text: add 10k German News Article Dataset
You can just create another branch from master on your fork and create another PR:
first update your master branch
```
git checkout master
git fetch upstream
git rebase upstream/master
git push
```
then create a new branch
```
git checkout -b my-new-branch-name
```
Then you can add, commit and push the gnad10 files and open a new PR | [
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|
https://github.com/huggingface/datasets/pull/1314 | Add snips built in intents 2016 12 | It is not clear how to automatically add the dummy data if the source data is a more complex json format. Should I manually take a fraction of the source data and include it as dummy data?
| This PR proposes to add the Snips.ai built in intents dataset. The first configuration added is for the intent labels only, but the dataset includes entity slots that may in future be added as alternate configurations. | 37 | text: Add snips built in intents 2016 12
This PR proposes to add the Snips.ai built in intents dataset. The first configuration added is for the intent labels only, but the dataset includes entity slots that may in future be added as alternate configurations.
It is not clear how to automatically add the dummy data if the source data is a more complex json format. Should I manually take a fraction of the source data and include it as dummy data?
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https://github.com/huggingface/datasets/pull/1313 | Add HateSpeech Corpus for Polish | @lhoestq Do you think using the ClassLabel is correct if we don't know the meaning of them? | This PR adds a HateSpeech Corpus for Polish, containing offensive language examples.
- **Homepage:** http://zil.ipipan.waw.pl/HateSpeech
- **Paper:** http://www.qualitativesociologyreview.org/PL/Volume38/PSJ_13_2_Troszynski_Wawer.pdf | 17 | text: Add HateSpeech Corpus for Polish
This PR adds a HateSpeech Corpus for Polish, containing offensive language examples.
- **Homepage:** http://zil.ipipan.waw.pl/HateSpeech
- **Paper:** http://www.qualitativesociologyreview.org/PL/Volume38/PSJ_13_2_Troszynski_Wawer.pdf
@lhoestq Do you think using the ClassLabel is correct if we don't know the meaning of them? | [
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https://github.com/huggingface/datasets/pull/1310 | Add OffensEval-TR 2020 Dataset | @coltekin, we have added the data set that you created an article that says "Turkish Attack Language Community in Social Media", HuggingFace dataset update sprint for you. We added Sprint quickly for a short time. I hope you welcome it too. The dataset is accessible at https://huggingface.co/datasets/offenseval2020_tr. | This PR adds the OffensEval-TR 2020 dataset which is a Turkish offensive language corpus by me and @basakbuluz. The corpus consist of randomly sampled tweets and annotated in a similar way to [OffensEval](https://sites.google.com/site/offensevalsharedtask/) and [GermEval](https://projects.fzai.h-da.de/iggsa/).
- **Homepage:** [offensive-turkish](https://coltekin.github.io/offensive-turkish/)
- **Paper:** [A Corpus of Turkish Offensive Language on Social Media](https://coltekin.github.io/offensive-turkish/troff.pdf)
- **Point of Contact:** [Çağrı Çöltekin](ccoltekin@sfs.uni-tuebingen.de) | 47 | text: Add OffensEval-TR 2020 Dataset
This PR adds the OffensEval-TR 2020 dataset which is a Turkish offensive language corpus by me and @basakbuluz. The corpus consist of randomly sampled tweets and annotated in a similar way to [OffensEval](https://sites.google.com/site/offensevalsharedtask/) and [GermEval](https://projects.fzai.h-da.de/iggsa/).
- **Homepage:** [offensive-turkish](https://coltekin.github.io/offensive-turkish/)
- **Paper:** [A Corpus of Turkish Offensive Language on Social Media](https://coltekin.github.io/offensive-turkish/troff.pdf)
- **Point of Contact:** [Çağrı Çöltekin](ccoltekin@sfs.uni-tuebingen.de)
@coltekin, we have added the data set that you created an article that says "Turkish Attack Language Community in Social Media", HuggingFace dataset update sprint for you. We added Sprint quickly for a short time. I hope you welcome it too. The dataset is accessible at https://huggingface.co/datasets/offenseval2020_tr. | [
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https://github.com/huggingface/datasets/pull/1310 | Add OffensEval-TR 2020 Dataset | Thank you for the heads up. I am not familiar with the terminology above (no idea what a sprint is), but I am happy that you found the data useful. Please feel free to distribute/use it as you see fit.
The OffensEval version you included in your data set has only binary labels. There is also a version [here](https://coltekin.github.io/offensive-turkish/troff-v1.0.tsv.gz) which also includes fine-grained labels similar to the OffensEval English data set - Just in case it would be of interest.
If you have questions about the data set, or need more information please let me know. | This PR adds the OffensEval-TR 2020 dataset which is a Turkish offensive language corpus by me and @basakbuluz. The corpus consist of randomly sampled tweets and annotated in a similar way to [OffensEval](https://sites.google.com/site/offensevalsharedtask/) and [GermEval](https://projects.fzai.h-da.de/iggsa/).
- **Homepage:** [offensive-turkish](https://coltekin.github.io/offensive-turkish/)
- **Paper:** [A Corpus of Turkish Offensive Language on Social Media](https://coltekin.github.io/offensive-turkish/troff.pdf)
- **Point of Contact:** [Çağrı Çöltekin](ccoltekin@sfs.uni-tuebingen.de) | 96 | text: Add OffensEval-TR 2020 Dataset
This PR adds the OffensEval-TR 2020 dataset which is a Turkish offensive language corpus by me and @basakbuluz. The corpus consist of randomly sampled tweets and annotated in a similar way to [OffensEval](https://sites.google.com/site/offensevalsharedtask/) and [GermEval](https://projects.fzai.h-da.de/iggsa/).
- **Homepage:** [offensive-turkish](https://coltekin.github.io/offensive-turkish/)
- **Paper:** [A Corpus of Turkish Offensive Language on Social Media](https://coltekin.github.io/offensive-turkish/troff.pdf)
- **Point of Contact:** [Çağrı Çöltekin](ccoltekin@sfs.uni-tuebingen.de)
Thank you for the heads up. I am not familiar with the terminology above (no idea what a sprint is), but I am happy that you found the data useful. Please feel free to distribute/use it as you see fit.
The OffensEval version you included in your data set has only binary labels. There is also a version [here](https://coltekin.github.io/offensive-turkish/troff-v1.0.tsv.gz) which also includes fine-grained labels similar to the OffensEval English data set - Just in case it would be of interest.
If you have questions about the data set, or need more information please let me know. | [
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https://github.com/huggingface/datasets/pull/1309 | Add SAMSum Corpus dataset | also to fix the check_code_quality CI you have to remove the imports of the unused `csv` and `os` | Did not spent much time writing README, might update later.
Copied description and some stuff from tensorflow_datasets
https://github.com/tensorflow/datasets/blob/master/tensorflow_datasets/summarization/samsum.py | 18 | text: Add SAMSum Corpus dataset
Did not spent much time writing README, might update later.
Copied description and some stuff from tensorflow_datasets
https://github.com/tensorflow/datasets/blob/master/tensorflow_datasets/summarization/samsum.py
also to fix the check_code_quality CI you have to remove the imports of the unused `csv` and `os` | [
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https://github.com/huggingface/datasets/pull/1309 | Add SAMSum Corpus dataset | @lhoestq Thanks for the review! I have done what you asked, README is also updated. 🤗
The CI fails because of the added dependency. I have never used circleCI before, so I am curious how will you solve that? | Did not spent much time writing README, might update later.
Copied description and some stuff from tensorflow_datasets
https://github.com/tensorflow/datasets/blob/master/tensorflow_datasets/summarization/samsum.py | 39 | text: Add SAMSum Corpus dataset
Did not spent much time writing README, might update later.
Copied description and some stuff from tensorflow_datasets
https://github.com/tensorflow/datasets/blob/master/tensorflow_datasets/summarization/samsum.py
@lhoestq Thanks for the review! I have done what you asked, README is also updated. 🤗
The CI fails because of the added dependency. I have never used circleCI before, so I am curious how will you solve that? | [
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https://github.com/huggingface/datasets/pull/1308 | Add Wiki Lingua Dataset | looks like this PR has changes about many other files than the ones for WIki Lingua
Can you create another branch and another PR please ? | Hello,
This is my first PR.
I have added Wiki Lingua Dataset along with dataset card to the best of my knowledge.
There was one hiccup though. I was unable to create dummy data because the data is in pkl format.
From the document, I see that:
```At the moment it supports data files in the following format: txt, csv, tsv, jsonl, json, xml```
| 26 | text: Add Wiki Lingua Dataset
Hello,
This is my first PR.
I have added Wiki Lingua Dataset along with dataset card to the best of my knowledge.
There was one hiccup though. I was unable to create dummy data because the data is in pkl format.
From the document, I see that:
```At the moment it supports data files in the following format: txt, csv, tsv, jsonl, json, xml```
looks like this PR has changes about many other files than the ones for WIki Lingua
Can you create another branch and another PR please ? | [
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https://github.com/huggingface/datasets/pull/1308 | Add Wiki Lingua Dataset | > looks like this PR has changes about many other files than the ones for WIki Lingua
>
> Can you create another branch and another PR please ?
Ok, I will create another branch and submit a fresh PR. | Hello,
This is my first PR.
I have added Wiki Lingua Dataset along with dataset card to the best of my knowledge.
There was one hiccup though. I was unable to create dummy data because the data is in pkl format.
From the document, I see that:
```At the moment it supports data files in the following format: txt, csv, tsv, jsonl, json, xml```
| 40 | text: Add Wiki Lingua Dataset
Hello,
This is my first PR.
I have added Wiki Lingua Dataset along with dataset card to the best of my knowledge.
There was one hiccup though. I was unable to create dummy data because the data is in pkl format.
From the document, I see that:
```At the moment it supports data files in the following format: txt, csv, tsv, jsonl, json, xml```
> looks like this PR has changes about many other files than the ones for WIki Lingua
>
> Can you create another branch and another PR please ?
Ok, I will create another branch and submit a fresh PR. | [
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https://github.com/huggingface/datasets/pull/1308 | Add Wiki Lingua Dataset | > Any reason to have english as the default config over the other languages ?
The data for all other languages has a direct reference to English article. Thus, I kept English as default. | Hello,
This is my first PR.
I have added Wiki Lingua Dataset along with dataset card to the best of my knowledge.
There was one hiccup though. I was unable to create dummy data because the data is in pkl format.
From the document, I see that:
```At the moment it supports data files in the following format: txt, csv, tsv, jsonl, json, xml```
| 34 | text: Add Wiki Lingua Dataset
Hello,
This is my first PR.
I have added Wiki Lingua Dataset along with dataset card to the best of my knowledge.
There was one hiccup though. I was unable to create dummy data because the data is in pkl format.
From the document, I see that:
```At the moment it supports data files in the following format: txt, csv, tsv, jsonl, json, xml```
> Any reason to have english as the default config over the other languages ?
The data for all other languages has a direct reference to English article. Thus, I kept English as default. | [
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https://github.com/huggingface/datasets/pull/1296 | The Snips Built In Intents 2016 dataset. | It is not clear how to automatically add the dummy data if the source data is a more complex json format. Should I manually take a fraction of the source data and include it as dummy data? | This PR proposes to add the Snips.ai built in intents dataset. The first configuration added is for the intent labels only, but the dataset includes entity slots that may in future be added as alternate configurations. | 37 | text: The Snips Built In Intents 2016 dataset.
This PR proposes to add the Snips.ai built in intents dataset. The first configuration added is for the intent labels only, but the dataset includes entity slots that may in future be added as alternate configurations.
It is not clear how to automatically add the dummy data if the source data is a more complex json format. Should I manually take a fraction of the source data and include it as dummy data? | [
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https://github.com/huggingface/datasets/pull/1283 | Add dutch book review dataset | > Really cool thanks !
>
> I left some (minor) comments
Thank you for your comments! 👍 I went ahead and improved the dataset card using your suggestions and some tweaks of my own. I hope you like it! 😄 | - Name: Dutch Book Review Dataset (DBRD)
- Description: The DBRD (pronounced dee-bird) dataset contains over 110k book reviews along with associated binary sentiment polarity labels and is intended as a benchmark for sentiment classification in Dutch.
- Paper: https://arxiv.org/abs/1910.00896
- Data: https://github.com/benjaminvdb/DBRD
- Motivation: A large (real-life) dataset of Dutch book reviews and sentiment polarity (positive/negative), based on the associated rating.
Checks
- [x] Create the dataset script /datasets/dbrd/dbrd.py using the template
- [x] Fill the _DESCRIPTION and _CITATION variables
- [x] Implement _info(), _split_generators() and _generate_examples()
- [x] Make sure that the BUILDER_CONFIGS class attribute is filled with the different configurations of the dataset and that the BUILDER_CONFIG_CLASS is specified if there is a custom config class.
- [x] Generate the metadata file dataset_infos.json for all configurations
- [x] Generate the dummy data dummy_data.zip files to have the dataset script tested and that they don't weigh too much (<50KB)
- [x] Add the dataset card README.md using the template : fill the tags and the various paragraphs
- [x] Both tests for the real data and the dummy data pass. | 41 | text: Add dutch book review dataset
- Name: Dutch Book Review Dataset (DBRD)
- Description: The DBRD (pronounced dee-bird) dataset contains over 110k book reviews along with associated binary sentiment polarity labels and is intended as a benchmark for sentiment classification in Dutch.
- Paper: https://arxiv.org/abs/1910.00896
- Data: https://github.com/benjaminvdb/DBRD
- Motivation: A large (real-life) dataset of Dutch book reviews and sentiment polarity (positive/negative), based on the associated rating.
Checks
- [x] Create the dataset script /datasets/dbrd/dbrd.py using the template
- [x] Fill the _DESCRIPTION and _CITATION variables
- [x] Implement _info(), _split_generators() and _generate_examples()
- [x] Make sure that the BUILDER_CONFIGS class attribute is filled with the different configurations of the dataset and that the BUILDER_CONFIG_CLASS is specified if there is a custom config class.
- [x] Generate the metadata file dataset_infos.json for all configurations
- [x] Generate the dummy data dummy_data.zip files to have the dataset script tested and that they don't weigh too much (<50KB)
- [x] Add the dataset card README.md using the template : fill the tags and the various paragraphs
- [x] Both tests for the real data and the dummy data pass.
> Really cool thanks !
>
> I left some (minor) comments
Thank you for your comments! 👍 I went ahead and improved the dataset card using your suggestions and some tweaks of my own. I hope you like it! 😄 | [
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https://github.com/huggingface/datasets/pull/1280 | disaster response messages dataset | Hi @lhoestq I have updated the code and files. Please if you could check once.
Thank you | 17 | text: disaster response messages dataset
Hi @lhoestq I have updated the code and files. Please if you could check once.
Thank you | [
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|
https://github.com/huggingface/datasets/pull/1278 | Craigslist bargains | Seeing this in the CircleCI builds, this is what I was originally getting before I started messing around with the download URLS to try to fix this:
`FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpwvji917g/extracted/d6185140afb24ad8fee67392100a478269cba286b0d88915a137fdf88872de14/dummy_data/train__VARIABLE_MISUSE__SStuB.txt-00001-of-00300'`
Could this be because of the files in my `dummy_data.zip`? I had to manually create it, and it looked like the test was looking for the following files, so I created the `.zip` with this structure:
```
Archive: dummy_data.zip
creating: dummy_data/
inflating: dummy_data/blobtest
inflating: dummy_data/parsed.jsontrain
inflating: dummy_data/parsed.jsonvalidation
``` | `craigslist_bargains` dataset from [here](https://worksheets.codalab.org/worksheets/0x453913e76b65495d8b9730d41c7e0a0c/) | 84 | text: Craigslist bargains
`craigslist_bargains` dataset from [here](https://worksheets.codalab.org/worksheets/0x453913e76b65495d8b9730d41c7e0a0c/)
Seeing this in the CircleCI builds, this is what I was originally getting before I started messing around with the download URLS to try to fix this:
`FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpwvji917g/extracted/d6185140afb24ad8fee67392100a478269cba286b0d88915a137fdf88872de14/dummy_data/train__VARIABLE_MISUSE__SStuB.txt-00001-of-00300'`
Could this be because of the files in my `dummy_data.zip`? I had to manually create it, and it looked like the test was looking for the following files, so I created the `.zip` with this structure:
```
Archive: dummy_data.zip
creating: dummy_data/
inflating: dummy_data/blobtest
inflating: dummy_data/parsed.jsontrain
inflating: dummy_data/parsed.jsonvalidation
``` | [
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https://github.com/huggingface/datasets/pull/1273 | Created wiki_movies dataset. | looks like your PR includes changes about many other files than the ones for wiki_movies
Can you create another branch and another PR please ? | First PR (ever). Hopefully this movies dataset is useful to others! | 25 | text: Created wiki_movies dataset.
First PR (ever). Hopefully this movies dataset is useful to others!
looks like your PR includes changes about many other files than the ones for wiki_movies
Can you create another branch and another PR please ? | [
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https://github.com/huggingface/datasets/pull/1273 | Created wiki_movies dataset. | I'm happy to. What's the best way to do that (sorry, I'm new to PRs etc.)? | First PR (ever). Hopefully this movies dataset is useful to others! | 16 | text: Created wiki_movies dataset.
First PR (ever). Hopefully this movies dataset is useful to others!
I'm happy to. What's the best way to do that (sorry, I'm new to PRs etc.)? | [
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https://github.com/huggingface/datasets/pull/1273 | Created wiki_movies dataset. | Sure !
First please save your new dataset files somewhere.
Then you can do in this order:
```
git checkout master
git fetch upstream
git rebase upstream/master
git push
git checkout -b my-new-branch-name
```
This will create a new branch from the updated master branch.
Then you can re-add your files and commit + push them
Once it's done you should be able to create a new PR using your new branch :) | First PR (ever). Hopefully this movies dataset is useful to others! | 73 | text: Created wiki_movies dataset.
First PR (ever). Hopefully this movies dataset is useful to others!
Sure !
First please save your new dataset files somewhere.
Then you can do in this order:
```
git checkout master
git fetch upstream
git rebase upstream/master
git push
git checkout -b my-new-branch-name
```
This will create a new branch from the updated master branch.
Then you can re-add your files and commit + push them
Once it's done you should be able to create a new PR using your new branch :) | [
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https://github.com/huggingface/datasets/pull/1268 | new pr for Turkish NER | Can you run `make style` to fix the code format ?
Also it looks like the file `file_downloaded/TWNERTC_TC_Coarse Grained NER_DomainIndependent_NoiseReduction.zip/TWNERTC_TC_Coarse Grained NER_DomainIndependent_NoiseReduction.DUMP` is missing inside the dummy_data.zip
(note that `TWNERTC_TC_Coarse Grained NER_DomainIndependent_NoiseReduction.zip` is a directory name, not an actual zip file) | 41 | text: new pr for Turkish NER
Can you run `make style` to fix the code format ?
Also it looks like the file `file_downloaded/TWNERTC_TC_Coarse Grained NER_DomainIndependent_NoiseReduction.zip/TWNERTC_TC_Coarse Grained NER_DomainIndependent_NoiseReduction.DUMP` is missing inside the dummy_data.zip
(note that `TWNERTC_TC_Coarse Grained NER_DomainIndependent_NoiseReduction.zip` is a directory name, not an actual zip file) | [
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|
https://github.com/huggingface/datasets/pull/1268 | new pr for Turkish NER | Hi Quentin, thank you for your patience with me. I've fixed the preprocessing pipeline, got this very weird error that Yacine told me to push. I've pushed it and after I'll find out that it will work, I will have my final pr on styling. | 45 | text: new pr for Turkish NER
Hi Quentin, thank you for your patience with me. I've fixed the preprocessing pipeline, got this very weird error that Yacine told me to push. I've pushed it and after I'll find out that it will work, I will have my final pr on styling. | [
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|
https://github.com/huggingface/datasets/pull/1268 | new pr for Turkish NER | looks like you removed the dataset script file in your latest commit, is it expected ? | 16 | text: new pr for Turkish NER
looks like you removed the dataset script file in your latest commit, is it expected ? | [
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|
https://github.com/huggingface/datasets/pull/1265 | Add CovidQA dataset | > It seems to share the same name as this dataset: https://openreview.net/forum?id=JENSKEEzsoU
you're right it can be confusing. I'll add the organization/research group for clarity: `covid_qa_castorini`. I added the dataset you shared as `covid_qa_deepset` in another PR (#1182) | This PR adds CovidQA, a question answering dataset specifically designed for COVID-19, built by hand from knowledge gathered from Kaggle’s COVID-19 Open Research Dataset Challenge.
Link to the paper: https://arxiv.org/pdf/2004.11339.pdf
Link to the homepage: https://covidqa.ai | 38 | text: Add CovidQA dataset
This PR adds CovidQA, a question answering dataset specifically designed for COVID-19, built by hand from knowledge gathered from Kaggle’s COVID-19 Open Research Dataset Challenge.
Link to the paper: https://arxiv.org/pdf/2004.11339.pdf
Link to the homepage: https://covidqa.ai
> It seems to share the same name as this dataset: https://openreview.net/forum?id=JENSKEEzsoU
you're right it can be confusing. I'll add the organization/research group for clarity: `covid_qa_castorini`. I added the dataset you shared as `covid_qa_deepset` in another PR (#1182) | [
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https://github.com/huggingface/datasets/pull/1264 | enriched webnlg dataset rebase | I've removed the `en` within `de` and reciprocally; but I don't think I will be able to thin it more than this. (Edit: ignore the close, I missclicked !) | Rebase of #1206 ! | 29 | text: enriched webnlg dataset rebase
Rebase of #1206 !
I've removed the `en` within `de` and reciprocally; but I don't think I will be able to thin it more than this. (Edit: ignore the close, I missclicked !) | [
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https://github.com/huggingface/datasets/pull/1260 | Added NewsPH Raw Dataset | looks like this PR has changes to many files other than the ones for `NewsPH`
Can you create another branch and another PR please ? | Added the raw version of the NewsPH dataset, which was used to automatically generate the NewsPH-NLI corpus. Dataset of news articles in Filipino from mainstream Philippine news sites on the internet. Can be used as a language modeling dataset or to reproduce the NewsPH-NLI dataset.
Paper: https://arxiv.org/abs/2010.11574
Repo: https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks | 25 | text: Added NewsPH Raw Dataset
Added the raw version of the NewsPH dataset, which was used to automatically generate the NewsPH-NLI corpus. Dataset of news articles in Filipino from mainstream Philippine news sites on the internet. Can be used as a language modeling dataset or to reproduce the NewsPH-NLI dataset.
Paper: https://arxiv.org/abs/2010.11574
Repo: https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks
looks like this PR has changes to many files other than the ones for `NewsPH`
Can you create another branch and another PR please ? | [
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https://github.com/huggingface/datasets/pull/1259 | Add KorQPair dataset | Hey @cceyda, thanks for pointing that out. I thought I'd added it, but seems like that wasn't the case. Just pushed a new commit with the dummy data. | This PR adds a [Korean paired question dataset](https://github.com/songys/Question_pair) containing labels indicating whether two questions in a given pair are semantically identical. This dataset was used to evaluate the performance of [KoGPT2](https://github.com/SKT-AI/KoGPT2#subtask-evaluations) on a phrase detection downstream task. | 28 | text: Add KorQPair dataset
This PR adds a [Korean paired question dataset](https://github.com/songys/Question_pair) containing labels indicating whether two questions in a given pair are semantically identical. This dataset was used to evaluate the performance of [KoGPT2](https://github.com/SKT-AI/KoGPT2#subtask-evaluations) on a phrase detection downstream task.
Hey @cceyda, thanks for pointing that out. I thought I'd added it, but seems like that wasn't the case. Just pushed a new commit with the dummy data. | [
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