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https://github.com/huggingface/datasets/pull/1529
Ro sent
We should use the data from dumitrescustefan and set the homepage to his repo IMO, since he's first author of the paper of the dataset.
Movies reviews dataset for Romanian language.
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text: Ro sent Movies reviews dataset for Romanian language. We should use the data from dumitrescustefan and set the homepage to his repo IMO, since he's first author of the paper of the dataset.
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https://github.com/huggingface/datasets/pull/1523
Add eHealth Knowledge Discovery dataset
Thank you very much for your review @lewtun ! I've updated the script metadata, created the README and fixed the two details you commented. Ready for another review! 🤗
This Spanish dataset can be used to mine knowledge from unstructured health texts. In particular, for: - Entity recognition - Relation extraction
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text: Add eHealth Knowledge Discovery dataset This Spanish dataset can be used to mine knowledge from unstructured health texts. In particular, for: - Entity recognition - Relation extraction Thank you very much for your review @lewtun ! I've updated the script metadata, created the README and fixed the two details you commented. Ready for another review! 🤗
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https://github.com/huggingface/datasets/pull/1523
Add eHealth Knowledge Discovery dataset
I've updated the task tag as we discussed and also added a couple of lines of code to make sure I include all the available examples. Thank you again!
This Spanish dataset can be used to mine knowledge from unstructured health texts. In particular, for: - Entity recognition - Relation extraction
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text: Add eHealth Knowledge Discovery dataset This Spanish dataset can be used to mine knowledge from unstructured health texts. In particular, for: - Entity recognition - Relation extraction I've updated the task tag as we discussed and also added a couple of lines of code to make sure I include all the available examples. Thank you again!
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https://github.com/huggingface/datasets/pull/1522
Add semeval 2020 task 11
@SBrandeis : Thanks for the feedback! Just updated to use context manager for the `open`s and removed the placeholder text from the `README`!
Adding in propaganda detection task (task 11) from Sem Eval 2020
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text: Add semeval 2020 task 11 Adding in propaganda detection task (task 11) from Sem Eval 2020 @SBrandeis : Thanks for the feedback! Just updated to use context manager for the `open`s and removed the placeholder text from the `README`!
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https://github.com/huggingface/datasets/pull/1522
Add semeval 2020 task 11
Great, thanks @ZacharySBrown ! Failing tests seem to be unrelated to your changes, merging the current master branch into yours should fix them.
Adding in propaganda detection task (task 11) from Sem Eval 2020
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text: Add semeval 2020 task 11 Adding in propaganda detection task (task 11) from Sem Eval 2020 Great, thanks @ZacharySBrown ! Failing tests seem to be unrelated to your changes, merging the current master branch into yours should fix them.
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https://github.com/huggingface/datasets/pull/1521
Atomic
I had to create a new PR to fix git errors. See: https://github.com/huggingface/datasets/pull/1525 I'm closing this PR.
This is the ATOMIC common sense dataset. More info can be found here: * README.md still to be created.
17
text: Atomic This is the ATOMIC common sense dataset. More info can be found here: * README.md still to be created. I had to create a new PR to fix git errors. See: https://github.com/huggingface/datasets/pull/1525 I'm closing this PR.
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https://github.com/huggingface/datasets/pull/1520
ru_reviews dataset adding
Hi @lhoestq I have added the readme as well Please do have a look at it when suitable
RuReviews: An Automatically Annotated Sentiment Analysis Dataset for Product Reviews in Russian
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text: ru_reviews dataset adding RuReviews: An Automatically Annotated Sentiment Analysis Dataset for Product Reviews in Russian Hi @lhoestq I have added the readme as well Please do have a look at it when suitable
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https://github.com/huggingface/datasets/pull/1519
Initial commit for AQuaMuSe
@yjernite Thank you for your help, generating the dummy data 🤗 Having that all the tests have passed 👍🏻
There is an issue in generation of dummy data. Tests on real data have passed locally.
19
text: Initial commit for AQuaMuSe There is an issue in generation of dummy data. Tests on real data have passed locally. @yjernite Thank you for your help, generating the dummy data 🤗 Having that all the tests have passed 👍🏻
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https://github.com/huggingface/datasets/pull/1516
adding wrbsc
@lhoestq thanks for the comments! Should be fixed in the latest commit, I assume the CI errors are unrelated.
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text: adding wrbsc @lhoestq thanks for the comments! Should be fixed in the latest commit, I assume the CI errors are unrelated.
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https://github.com/huggingface/datasets/pull/1513
app_reviews_by_users
Hi @lhoestq I have added the readme file as well, please if you could check it once Thank you
Software Applications User Reviews
19
text: app_reviews_by_users Software Applications User Reviews Hi @lhoestq I have added the readme file as well, please if you could check it once Thank you
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https://github.com/huggingface/datasets/pull/1509
Added dataset Makhzan
The only CI error comes from ``` FAILED tests/test_file_utils.py::TempSeedTest::test_tensorflow ``` which is not related to your PR and is fixed on master. You can ignore it
Need help with the dummy data.
26
text: Added dataset Makhzan Need help with the dummy data. The only CI error comes from ``` FAILED tests/test_file_utils.py::TempSeedTest::test_tensorflow ``` which is not related to your PR and is fixed on master. You can ignore it
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https://github.com/huggingface/datasets/pull/1509
Added dataset Makhzan
@lhoestq I've made the changes. Please review and merge. I have a similar PR https://github.com/huggingface/datasets/pull/1562 for another dataset. I'll incorporate your comment about sorting and reducing dummy dataset size there.
Need help with the dummy data.
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text: Added dataset Makhzan Need help with the dummy data. @lhoestq I've made the changes. Please review and merge. I have a similar PR https://github.com/huggingface/datasets/pull/1562 for another dataset. I'll incorporate your comment about sorting and reducing dummy dataset size there.
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https://github.com/huggingface/datasets/pull/1509
Added dataset Makhzan
The CI raises an error `FAILED tests/test_file_utils.py::TempSeedTest::test_tensorflow` but it's not related to this dataset. This issue is fixed on master
Need help with the dummy data.
20
text: Added dataset Makhzan Need help with the dummy data. The CI raises an error `FAILED tests/test_file_utils.py::TempSeedTest::test_tensorflow` but it's not related to this dataset. This issue is fixed on master
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https://github.com/huggingface/datasets/pull/1507
Add SelQA Dataset
The CI error `FAILED tests/test_file_utils.py::TempSeedTest::test_tensorflow` is not related with this dataset and is fixed on master. You can ignore it
Add the SelQA Dataset, a new benchmark for selection-based question answering tasks Repo: https://github.com/emorynlp/selqa/ Paper: https://arxiv.org/pdf/1606.08513.pdf
20
text: Add SelQA Dataset Add the SelQA Dataset, a new benchmark for selection-based question answering tasks Repo: https://github.com/emorynlp/selqa/ Paper: https://arxiv.org/pdf/1606.08513.pdf The CI error `FAILED tests/test_file_utils.py::TempSeedTest::test_tensorflow` is not related with this dataset and is fixed on master. You can ignore it
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https://github.com/huggingface/datasets/pull/1506
Add nq_open question answering dataset
@SBrandeis thanks for the review, I applied your suggested changes, but CI is failing now not sure about the error.
Added nq_open Open-domain question answering dataset. The NQ-Open task is currently being used to evaluate submissions to the EfficientQA competition, which is part of the NeurIPS 2020 competition track.
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text: Add nq_open question answering dataset Added nq_open Open-domain question answering dataset. The NQ-Open task is currently being used to evaluate submissions to the EfficientQA competition, which is part of the NeurIPS 2020 competition track. @SBrandeis thanks for the review, I applied your suggested changes, but CI is failing now not sure about the error.
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https://github.com/huggingface/datasets/pull/1506
Add nq_open question answering dataset
Many thanks @Nilanshrajput ! The failing tests on CI are not related to your changes, merging master on your branch should fix them :) If you're interested in what causes the CI to fail, checkout [this commit](https://github.com/huggingface/datasets/commit/9a0f1e20ca1e783cb14c1ab1cc2f54b0b5b201e8)
Added nq_open Open-domain question answering dataset. The NQ-Open task is currently being used to evaluate submissions to the EfficientQA competition, which is part of the NeurIPS 2020 competition track.
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text: Add nq_open question answering dataset Added nq_open Open-domain question answering dataset. The NQ-Open task is currently being used to evaluate submissions to the EfficientQA competition, which is part of the NeurIPS 2020 competition track. Many thanks @Nilanshrajput ! The failing tests on CI are not related to your changes, merging master on your branch should fix them :) If you're interested in what causes the CI to fail, checkout [this commit](https://github.com/huggingface/datasets/commit/9a0f1e20ca1e783cb14c1ab1cc2f54b0b5b201e8)
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https://github.com/huggingface/datasets/pull/1506
Add nq_open question answering dataset
Hello @Nilanshrajput, your PR includes changes from other branches too now (485 files changed) Would you mind creating another branch from master with your changes and opening a new PR?
Added nq_open Open-domain question answering dataset. The NQ-Open task is currently being used to evaluate submissions to the EfficientQA competition, which is part of the NeurIPS 2020 competition track.
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text: Add nq_open question answering dataset Added nq_open Open-domain question answering dataset. The NQ-Open task is currently being used to evaluate submissions to the EfficientQA competition, which is part of the NeurIPS 2020 competition track. Hello @Nilanshrajput, your PR includes changes from other branches too now (485 files changed) Would you mind creating another branch from master with your changes and opening a new PR?
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https://github.com/huggingface/datasets/pull/1503
Adding COVID QA dataset in Chinese and English from UC SanDiego
Changed the pre-processing based on the comments raised in [PR-1482](https://github.com/huggingface/datasets/pull/1482).The below command is passing in my local environment: `python datasets-cli test datasets/covid_qa_ucsd/ --save_infos --all_configs --data_dir ~/Downloads/Medical-Dialogue-Dataset/CovidDailogue/`
26
text: Adding COVID QA dataset in Chinese and English from UC SanDiego Changed the pre-processing based on the comments raised in [PR-1482](https://github.com/huggingface/datasets/pull/1482).The below command is passing in my local environment: `python datasets-cli test datasets/covid_qa_ucsd/ --save_infos --all_configs --data_dir ~/Downloads/Medical-Dialogue-Dataset/CovidDailogue/`
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https://github.com/huggingface/datasets/pull/1502
Add Senti_Lex Dataset
also it looks like this PR includes changes about dummy_data.zip files in the ./datasets//un_pc folder. Can you remove them ?
TODO: Fix feature format issue Create dataset_info.json file Run pytests Make Style
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text: Add Senti_Lex Dataset TODO: Fix feature format issue Create dataset_info.json file Run pytests Make Style also it looks like this PR includes changes about dummy_data.zip files in the ./datasets//un_pc folder. Can you remove them ?
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https://github.com/huggingface/datasets/pull/1502
Add Senti_Lex Dataset
Thanks for all the advice @lhoestq. I've implemented the changes you kindly highlighted and have made sure the scripts pass all the test. I've also marked this as ready for review as I believe it's in a good place to be merged now.
TODO: Fix feature format issue Create dataset_info.json file Run pytests Make Style
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text: Add Senti_Lex Dataset TODO: Fix feature format issue Create dataset_info.json file Run pytests Make Style Thanks for all the advice @lhoestq. I've implemented the changes you kindly highlighted and have made sure the scripts pass all the test. I've also marked this as ready for review as I believe it's in a good place to be merged now.
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https://github.com/huggingface/datasets/pull/1500
adding polsum
@lhoestq thanks for the comments! Should be fixed in the latest commit, I assume the CI errors are unrelated.
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text: adding polsum @lhoestq thanks for the comments! Should be fixed in the latest commit, I assume the CI errors are unrelated.
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https://github.com/huggingface/datasets/pull/1493
Added RONEC dataset.
Thanks for the PR @iliemihai . Few comments - Can you run - `python datasets-cli dummy_data ./datasets/ronec --auto_generate` to generate dummy data. Also, before committing files run : `make style` `flake8 datasets` then you can add and commit files.
39
text: Added RONEC dataset. Thanks for the PR @iliemihai . Few comments - Can you run - `python datasets-cli dummy_data ./datasets/ronec --auto_generate` to generate dummy data. Also, before committing files run : `make style` `flake8 datasets` then you can add and commit files.
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https://github.com/huggingface/datasets/pull/1493
Added RONEC dataset.
> Thanks for the PR @iliemihai . > > Few comments - > > Can you run - > `python datasets-cli dummy_data ./datasets/ronec --auto_generate` to generate dummy data. > > Also, before committing files run : > `make style` > `flake8 datasets` > then you can add and commit files. Sorry, forgot to generate dummy data. I will do it now :D
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text: Added RONEC dataset. > Thanks for the PR @iliemihai . > > Few comments - > > Can you run - > `python datasets-cli dummy_data ./datasets/ronec --auto_generate` to generate dummy data. > > Also, before committing files run : > `make style` > `flake8 datasets` > then you can add and commit files. Sorry, forgot to generate dummy data. I will do it now :D
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https://github.com/huggingface/datasets/pull/1493
Added RONEC dataset.
Awesome, good job @iliemihai ! I think the PR is ready to merge. @lhoestq would you mind double-checking this ?
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text: Added RONEC dataset. Awesome, good job @iliemihai ! I think the PR is ready to merge. @lhoestq would you mind double-checking this ?
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https://github.com/huggingface/datasets/pull/1489
Fake news english 4
Thanks for the PR @MisbahKhan789 ! Few comments to help you along (I'm NOT a maintainer, just offering help to unblock the process) :- - Could you re-run `make style` and fix the errors related to code quality specific to your dataset in the `datasets/fake_news_english` folder? (These seem to show errors that need manual fixes on running `flake8 datasets/fake_news_english`) - Please run the local tests and check if they pass `RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_real_dataset_<your-dataset-name>` `RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_<your-dataset-name>` (If not, you may have to regenerate the dummy data and the `dataset_infos.json` files)
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text: Fake news english 4 Thanks for the PR @MisbahKhan789 ! Few comments to help you along (I'm NOT a maintainer, just offering help to unblock the process) :- - Could you re-run `make style` and fix the errors related to code quality specific to your dataset in the `datasets/fake_news_english` folder? (These seem to show errors that need manual fixes on running `flake8 datasets/fake_news_english`) - Please run the local tests and check if they pass `RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_real_dataset_<your-dataset-name>` `RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_<your-dataset-name>` (If not, you may have to regenerate the dummy data and the `dataset_infos.json` files)
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https://github.com/huggingface/datasets/pull/1489
Fake news english 4
> Thanks for the PR @MisbahKhan789 ! > > Few comments to help you along (I'm NOT a maintainer, just offering help to unblock the process) :- > > * Could you re-run `make style` and fix the errors related to code quality specific to your dataset in the `datasets/fake_news_english` folder? > (These seem to show errors that need manual fixes on running `flake8 datasets/fake_news_english`) > * Please run the local tests and check if they pass > `RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_real_dataset_<your-dataset-name>` > `RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_<your-dataset-name>` > (If not, you may have to regenerate the dummy data and the `dataset_infos.json` files) Hey Bharat, thanks for the reply. I actually submitted a new PR with the changes that are required :)
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text: Fake news english 4 > Thanks for the PR @MisbahKhan789 ! > > Few comments to help you along (I'm NOT a maintainer, just offering help to unblock the process) :- > > * Could you re-run `make style` and fix the errors related to code quality specific to your dataset in the `datasets/fake_news_english` folder? > (These seem to show errors that need manual fixes on running `flake8 datasets/fake_news_english`) > * Please run the local tests and check if they pass > `RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_real_dataset_<your-dataset-name>` > `RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_<your-dataset-name>` > (If not, you may have to regenerate the dummy data and the `dataset_infos.json` files) Hey Bharat, thanks for the reply. I actually submitted a new PR with the changes that are required :)
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https://github.com/huggingface/datasets/pull/1488
Adding NELL
hi @lhoestq, I wanted to push another change to this branch b/c I found a bug in the parsing. I need to swap arg1 and arg2. I tried to git push -u origin nell but it didn't work. So I tried to do git push --force -u origin nell which seems to work, but nothing is happening to this branch. I think this is because it's closed. Do I need to open another PR? The change should be below in _generate_examples: best_arg1 = row[9] best_arg2 = row[8]
NELL is a knowledge base and knowledge graph along with sentences used to create the KB. See http://rtw.ml.cmu.edu/rtw/ for more details.
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text: Adding NELL NELL is a knowledge base and knowledge graph along with sentences used to create the KB. See http://rtw.ml.cmu.edu/rtw/ for more details. hi @lhoestq, I wanted to push another change to this branch b/c I found a bug in the parsing. I need to swap arg1 and arg2. I tried to git push -u origin nell but it didn't work. So I tried to do git push --force -u origin nell which seems to work, but nothing is happening to this branch. I think this is because it's closed. Do I need to open another PR? The change should be below in _generate_examples: best_arg1 = row[9] best_arg2 = row[8]
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https://github.com/huggingface/datasets/pull/1488
Adding NELL
Hi @ontocord ! Yup the easiest thing to do is to open a new PR with a title like "Fix NELL dataset argument order". If it's a simple fix we can look at it pretty fast :)
NELL is a knowledge base and knowledge graph along with sentences used to create the KB. See http://rtw.ml.cmu.edu/rtw/ for more details.
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text: Adding NELL NELL is a knowledge base and knowledge graph along with sentences used to create the KB. See http://rtw.ml.cmu.edu/rtw/ for more details. Hi @ontocord ! Yup the easiest thing to do is to open a new PR with a title like "Fix NELL dataset argument order". If it's a simple fix we can look at it pretty fast :)
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https://github.com/huggingface/datasets/pull/1487
added conv_ai_3 dataset
@lhoestq Thank you for suggesting changes. I fixed all the changes you suggested. Can you please review it again?
Dataset : https://github.com/aliannejadi/ClariQ/
19
text: added conv_ai_3 dataset Dataset : https://github.com/aliannejadi/ClariQ/ @lhoestq Thank you for suggesting changes. I fixed all the changes you suggested. Can you please review it again?
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https://github.com/huggingface/datasets/pull/1487
added conv_ai_3 dataset
@lhoestq Thank you for reviewing and suggesting changes. I made the requested changes. Can you please review it again?
Dataset : https://github.com/aliannejadi/ClariQ/
19
text: added conv_ai_3 dataset Dataset : https://github.com/aliannejadi/ClariQ/ @lhoestq Thank you for reviewing and suggesting changes. I made the requested changes. Can you please review it again?
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https://github.com/huggingface/datasets/pull/1487
added conv_ai_3 dataset
Thanks @lhoestq for reviewing it again. I made the required changes. Can you please have a look ?
Dataset : https://github.com/aliannejadi/ClariQ/
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text: added conv_ai_3 dataset Dataset : https://github.com/aliannejadi/ClariQ/ Thanks @lhoestq for reviewing it again. I made the required changes. Can you please have a look ?
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https://github.com/huggingface/datasets/pull/1486
hate speech 18 dataset
The error `tests/test_file_utils.py::TempSeedTest::test_tensorflow` just appeared because of tensorflow's update. Once it's fixed on master we'll be free to merge this one
This is again a PR instead of #1339, because something went wrong there.
21
text: hate speech 18 dataset This is again a PR instead of #1339, because something went wrong there. The error `tests/test_file_utils.py::TempSeedTest::test_tensorflow` just appeared because of tensorflow's update. Once it's fixed on master we'll be free to merge this one
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https://github.com/huggingface/datasets/pull/1484
Add peer-read dataset
> Cool thank you ! > > I left a few comments Thank you @lhoestq addressed your comments. Haven't changed the code but I see that tests are failing now. Do I need to rebase or something?
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text: Add peer-read dataset > Cool thank you ! > > I left a few comments Thank you @lhoestq addressed your comments. Haven't changed the code but I see that tests are failing now. Do I need to rebase or something?
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https://github.com/huggingface/datasets/pull/1484
Add peer-read dataset
The CI error is not related to your dataset and is fixed on master. You can ignore it
18
text: Add peer-read dataset The CI error is not related to your dataset and is fixed on master. You can ignore it
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https://github.com/huggingface/datasets/pull/1483
Added Times of India News Headlines Dataset
@tanmoyio please have patience. @lhoestq has to look at 150+ PRs and it may take time. The PR looks good to me but we wait for his confirmation :) 🤗
Dataset name: Times of India News Headlines link: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DPQMQH
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text: Added Times of India News Headlines Dataset Dataset name: Times of India News Headlines link: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DPQMQH @tanmoyio please have patience. @lhoestq has to look at 150+ PRs and it may take time. The PR looks good to me but we wait for his confirmation :) 🤗
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https://github.com/huggingface/datasets/pull/1482
Adding medical database chinese and english
Let me know it that helps ! Also feel free to ping me if you have other questions or if I can help you.
Error in creating dummy dataset
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text: Adding medical database chinese and english Error in creating dummy dataset Let me know it that helps ! Also feel free to ping me if you have other questions or if I can help you.
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https://github.com/huggingface/datasets/pull/1482
Adding medical database chinese and english
All tests have passed. However, PyTest is still failing with the `AssertionError` as before. Also _datasets_info.json_ actually does not seem to provide much info. Please review and let me know what has to be improved. Thanks!
Error in creating dummy dataset
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text: Adding medical database chinese and english Error in creating dummy dataset All tests have passed. However, PyTest is still failing with the `AssertionError` as before. Also _datasets_info.json_ actually does not seem to provide much info. Please review and let me know what has to be improved. Thanks!
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https://github.com/huggingface/datasets/pull/1482
Adding medical database chinese and english
[PR-1503](https://github.com/huggingface/datasets/pull/1503) on the COVID dialog dataset from the same University has similar features. I kept it separate because it is only on COVID qa. Also consists of only single files per language. Kindly let me know if it has to be added as two more configurations to this existing dataset itself. If it has to be added, then can I still freeze the file names like in PR-1503?
Error in creating dummy dataset
68
text: Adding medical database chinese and english Error in creating dummy dataset [PR-1503](https://github.com/huggingface/datasets/pull/1503) on the COVID dialog dataset from the same University has similar features. I kept it separate because it is only on COVID qa. Also consists of only single files per language. Kindly let me know if it has to be added as two more configurations to this existing dataset itself. If it has to be added, then can I still freeze the file names like in PR-1503?
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https://github.com/huggingface/datasets/pull/1479
Add narrativeQA
@lhoestq this is now only failing some random windows test (it appears to be somewhere in wnut_17)
Redo of #1368 #309 #499 In redoing the dummy data a few times, I ended up adding a load of files to git. Hopefully this should work.
17
text: Add narrativeQA Redo of #1368 #309 #499 In redoing the dummy data a few times, I ended up adding a load of files to git. Hopefully this should work. @lhoestq this is now only failing some random windows test (it appears to be somewhere in wnut_17)
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https://github.com/huggingface/datasets/pull/1479
Add narrativeQA
This is a connection error, you can ignore it :) The level of activity on the lib is quite overwhelming, it stresses a bit the CI ^^
Redo of #1368 #309 #499 In redoing the dummy data a few times, I ended up adding a load of files to git. Hopefully this should work.
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text: Add narrativeQA Redo of #1368 #309 #499 In redoing the dummy data a few times, I ended up adding a load of files to git. Hopefully this should work. This is a connection error, you can ignore it :) The level of activity on the lib is quite overwhelming, it stresses a bit the CI ^^
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https://github.com/huggingface/datasets/pull/1471
Adding the HAREM dataset
Thanks for the changes ! Sorry if I wasn't clear about the suggestion of adding the `raw` dataset as well. By `raw` I meant the dataset with its original features, i.e. not tokenized to follow the conll format for NER. The `raw` dataset has data fields `doc_text`, `doc_id` and `entities`.
Adding the HAREM dataset, a Portuguese language dataset for NER tasks
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text: Adding the HAREM dataset Adding the HAREM dataset, a Portuguese language dataset for NER tasks Thanks for the changes ! Sorry if I wasn't clear about the suggestion of adding the `raw` dataset as well. By `raw` I meant the dataset with its original features, i.e. not tokenized to follow the conll format for NER. The `raw` dataset has data fields `doc_text`, `doc_id` and `entities`.
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https://github.com/huggingface/datasets/pull/1471
Adding the HAREM dataset
Alright, @lhoestq, now I understand your suggestion, but the JSON files the script downloads aren't actually the "raw" HAREM dataset, the [real raw version](https://www.linguateca.pt/primeiroHAREM/harem/ColeccaoDouradaHAREM.zip) of it is on XML format that needs a lot of preprocessing. Those JSON are just pre-processed versions of the dataset. I can make the config of the raw version of the pre-processed dataset, but I'll leave a comment on the dataset summary about those details.
Adding the HAREM dataset, a Portuguese language dataset for NER tasks
70
text: Adding the HAREM dataset Adding the HAREM dataset, a Portuguese language dataset for NER tasks Alright, @lhoestq, now I understand your suggestion, but the JSON files the script downloads aren't actually the "raw" HAREM dataset, the [real raw version](https://www.linguateca.pt/primeiroHAREM/harem/ColeccaoDouradaHAREM.zip) of it is on XML format that needs a lot of preprocessing. Those JSON are just pre-processed versions of the dataset. I can make the config of the raw version of the pre-processed dataset, but I'll leave a comment on the dataset summary about those details.
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https://github.com/huggingface/datasets/pull/1471
Adding the HAREM dataset
The original xml format doesn't seem very practical to use :/ We can ignore that and only keep the default and selective configs then. Can you revert to the old configs ? Thanks again for adding this dataset !
Adding the HAREM dataset, a Portuguese language dataset for NER tasks
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text: Adding the HAREM dataset Adding the HAREM dataset, a Portuguese language dataset for NER tasks The original xml format doesn't seem very practical to use :/ We can ignore that and only keep the default and selective configs then. Can you revert to the old configs ? Thanks again for adding this dataset !
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https://github.com/huggingface/datasets/pull/1470
Add wiki lingua dataset
it’s failing because of `RemoteDatasetTest.test_load_dataset_orange_sum` which i think is not the dataset you are doing a PR for. Try rebasing with: ``` git fetch upstream git rebase upstream/master git push -u -f origin your_branch ```
Hello @lhoestq , I am opening a fresh pull request as advised in my original PR https://github.com/huggingface/datasets/pull/1308 Thanks
35
text: Add wiki lingua dataset Hello @lhoestq , I am opening a fresh pull request as advised in my original PR https://github.com/huggingface/datasets/pull/1308 Thanks it’s failing because of `RemoteDatasetTest.test_load_dataset_orange_sum` which i think is not the dataset you are doing a PR for. Try rebasing with: ``` git fetch upstream git rebase upstream/master git push -u -f origin your_branch ```
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https://github.com/huggingface/datasets/pull/1470
Add wiki lingua dataset
> it’s failing because of `RemoteDatasetTest.test_load_dataset_orange_sum` > which i think is not the dataset you are doing a PR for. Try rebasing with: > > ``` > git fetch upstream > git rebase upstream/master > git push -u -f origin your_branch > ``` Thanks, my branch seems to be up to date. ```Current branch add-wiki-lingua-dataset is up to date.```
Hello @lhoestq , I am opening a fresh pull request as advised in my original PR https://github.com/huggingface/datasets/pull/1308 Thanks
59
text: Add wiki lingua dataset Hello @lhoestq , I am opening a fresh pull request as advised in my original PR https://github.com/huggingface/datasets/pull/1308 Thanks > it’s failing because of `RemoteDatasetTest.test_load_dataset_orange_sum` > which i think is not the dataset you are doing a PR for. Try rebasing with: > > ``` > git fetch upstream > git rebase upstream/master > git push -u -f origin your_branch > ``` Thanks, my branch seems to be up to date. ```Current branch add-wiki-lingua-dataset is up to date.```
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https://github.com/huggingface/datasets/pull/1470
Add wiki lingua dataset
looks like this PR includes changes about many other files than the ones for wiki_lingua. Can you create another branch and another PR ? (or you can try to fix this branch with rebase and push force if you're familiar with it)
Hello @lhoestq , I am opening a fresh pull request as advised in my original PR https://github.com/huggingface/datasets/pull/1308 Thanks
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text: Add wiki lingua dataset Hello @lhoestq , I am opening a fresh pull request as advised in my original PR https://github.com/huggingface/datasets/pull/1308 Thanks looks like this PR includes changes about many other files than the ones for wiki_lingua. Can you create another branch and another PR ? (or you can try to fix this branch with rebase and push force if you're familiar with it)
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https://github.com/huggingface/datasets/pull/1470
Add wiki lingua dataset
> looks like this PR includes changes about many other files than the ones for wiki_lingua. > > Can you create another branch and another PR ? > (or you can try to fix this branch with rebase and push force if you're familiar with it) Easier to create a new branch and submit, I have submitted a new PR #1582
Hello @lhoestq , I am opening a fresh pull request as advised in my original PR https://github.com/huggingface/datasets/pull/1308 Thanks
61
text: Add wiki lingua dataset Hello @lhoestq , I am opening a fresh pull request as advised in my original PR https://github.com/huggingface/datasets/pull/1308 Thanks > looks like this PR includes changes about many other files than the ones for wiki_lingua. > > Can you create another branch and another PR ? > (or you can try to fix this branch with rebase and push force if you're familiar with it) Easier to create a new branch and submit, I have submitted a new PR #1582
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https://github.com/huggingface/datasets/pull/1468
add Indonesian newspapers (id_newspapers_2018)
> Looks like there's a `Path` issue on windows. Could you try switching to > `glob.glob(os.path.join(article_dir, "*.json"))` Thanks, I replaced it with glob. Let's see if it solves the issue. Anyway, the main directory has a space, could it make the issue on windows? the test on linux don't have this problem.
The dataset contains around 500K articles (136M of words) from 7 Indonesian newspapers. The size of uncompressed 500K json files (newspapers-json.tgz) is around 2.2GB.
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text: add Indonesian newspapers (id_newspapers_2018) The dataset contains around 500K articles (136M of words) from 7 Indonesian newspapers. The size of uncompressed 500K json files (newspapers-json.tgz) is around 2.2GB. > Looks like there's a `Path` issue on windows. Could you try switching to > `glob.glob(os.path.join(article_dir, "*.json"))` Thanks, I replaced it with glob. Let's see if it solves the issue. Anyway, the main directory has a space, could it make the issue on windows? the test on linux don't have this problem.
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https://github.com/huggingface/datasets/pull/1468
add Indonesian newspapers (id_newspapers_2018)
It seems glob doesn't help also. Btw, one of the failing test tried to connect aws which failed: ``` C:\tools\miniconda3\lib\site-packages\urllib3\connection.py:160: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ address = ('s3.amazonaws.com', 443), timeout = 10, source_address = None socket_options = [(6, 1, 1)] ``` Why did it try to connect to aws? I don't use it.
The dataset contains around 500K articles (136M of words) from 7 Indonesian newspapers. The size of uncompressed 500K json files (newspapers-json.tgz) is around 2.2GB.
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text: add Indonesian newspapers (id_newspapers_2018) The dataset contains around 500K articles (136M of words) from 7 Indonesian newspapers. The size of uncompressed 500K json files (newspapers-json.tgz) is around 2.2GB. It seems glob doesn't help also. Btw, one of the failing test tried to connect aws which failed: ``` C:\tools\miniconda3\lib\site-packages\urllib3\connection.py:160: _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ address = ('s3.amazonaws.com', 443), timeout = 10, source_address = None socket_options = [(6, 1, 1)] ``` Why did it try to connect to aws? I don't use it.
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https://github.com/huggingface/datasets/pull/1468
add Indonesian newspapers (id_newspapers_2018)
It seems that the circleci make a test for whole datasets repository, that means if only one of the dataset in the official repository has a download issue, this will also affect the test of a new dataset like mine, isn't it? I changed the url to my newspaper dataset which contains only few simple json files and simple directory structure. But it still failed. And it failed not only on windows test. This is one of the error message: ``` -- Docs: https://docs.pytest.org/en/stable/warnings.html =========================== short test summary info ============================ FAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_ajgt_twitter_ar FAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_chr_en FAILED tests/test_dataset_common.py::RemoteDatasetTest::test_load_dataset_ajgt_twitter_ar FAILED tests/test_dataset_common.py::RemoteDatasetTest::test_load_dataset_chr_en ===== 4 failed, 2667 passed, 2052 skipped, 4 warnings in 432.05s (0:07:12) ===== Exited with code exit status 1 CircleCI received exit code 1 ``` The test failed on twitter dataset even my dataset has nothing to do with twitter?
The dataset contains around 500K articles (136M of words) from 7 Indonesian newspapers. The size of uncompressed 500K json files (newspapers-json.tgz) is around 2.2GB.
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text: add Indonesian newspapers (id_newspapers_2018) The dataset contains around 500K articles (136M of words) from 7 Indonesian newspapers. The size of uncompressed 500K json files (newspapers-json.tgz) is around 2.2GB. It seems that the circleci make a test for whole datasets repository, that means if only one of the dataset in the official repository has a download issue, this will also affect the test of a new dataset like mine, isn't it? I changed the url to my newspaper dataset which contains only few simple json files and simple directory structure. But it still failed. And it failed not only on windows test. This is one of the error message: ``` -- Docs: https://docs.pytest.org/en/stable/warnings.html =========================== short test summary info ============================ FAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_ajgt_twitter_ar FAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_chr_en FAILED tests/test_dataset_common.py::RemoteDatasetTest::test_load_dataset_ajgt_twitter_ar FAILED tests/test_dataset_common.py::RemoteDatasetTest::test_load_dataset_chr_en ===== 4 failed, 2667 passed, 2052 skipped, 4 warnings in 432.05s (0:07:12) ===== Exited with code exit status 1 CircleCI received exit code 1 ``` The test failed on twitter dataset even my dataset has nothing to do with twitter?
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https://github.com/huggingface/datasets/pull/1468
add Indonesian newspapers (id_newspapers_2018)
Hi, thanks for merging the dataset. I create a new PR (#1499) since I need to update the link to the dataset.
The dataset contains around 500K articles (136M of words) from 7 Indonesian newspapers. The size of uncompressed 500K json files (newspapers-json.tgz) is around 2.2GB.
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text: add Indonesian newspapers (id_newspapers_2018) The dataset contains around 500K articles (136M of words) from 7 Indonesian newspapers. The size of uncompressed 500K json files (newspapers-json.tgz) is around 2.2GB. Hi, thanks for merging the dataset. I create a new PR (#1499) since I need to update the link to the dataset.
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https://github.com/huggingface/datasets/pull/1466
Add Turkish News Category Dataset (270K).Updates were made for review…
These errors ``` =========================== short test summary info ============================ FAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_ajgt_twitter_ar FAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_chr_en FAILED tests/test_dataset_common.py::RemoteDatasetTest::test_load_dataset_ajgt_twitter_ar FAILED tests/test_dataset_common.py::RemoteDatasetTest::test_load_dataset_chr_en ``` appeared on master 3 hours ago and are now fixed. (it was due to today's update of `xlrd` that broke two datasets) You can ignore them, they're not related to your dataset
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. **Note**: Resubmitted as a clean version of the previous Pull Request(#1419). @SBrandeis @lhoestq
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text: Add Turkish News Category Dataset (270K).Updates were made for review… 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. **Note**: Resubmitted as a clean version of the previous Pull Request(#1419). @SBrandeis @lhoestq These errors ``` =========================== short test summary info ============================ FAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_ajgt_twitter_ar FAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_chr_en FAILED tests/test_dataset_common.py::RemoteDatasetTest::test_load_dataset_ajgt_twitter_ar FAILED tests/test_dataset_common.py::RemoteDatasetTest::test_load_dataset_chr_en ``` appeared on master 3 hours ago and are now fixed. (it was due to today's update of `xlrd` that broke two datasets) You can ignore them, they're not related to your dataset
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https://github.com/huggingface/datasets/pull/1466
Add Turkish News Category Dataset (270K).Updates were made for review…
> These errors > > ``` > =========================== short test summary info ============================ > FAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_ajgt_twitter_ar > FAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_chr_en > FAILED tests/test_dataset_common.py::RemoteDatasetTest::test_load_dataset_ajgt_twitter_ar > FAILED tests/test_dataset_common.py::RemoteDatasetTest::test_load_dataset_chr_en > ``` > > appeared on master 3 hours ago and are now fixed. > (it was due to today's update of `xlrd` that broke two datasets) > > You can ignore them, they're not related to your dataset **If it is not a problem caused by us, we have already completed the review notes. You can then check it out and confirm?**
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. **Note**: Resubmitted as a clean version of the previous Pull Request(#1419). @SBrandeis @lhoestq
88
text: Add Turkish News Category Dataset (270K).Updates were made for review… 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. **Note**: Resubmitted as a clean version of the previous Pull Request(#1419). @SBrandeis @lhoestq > These errors > > ``` > =========================== short test summary info ============================ > FAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_ajgt_twitter_ar > FAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_chr_en > FAILED tests/test_dataset_common.py::RemoteDatasetTest::test_load_dataset_ajgt_twitter_ar > FAILED tests/test_dataset_common.py::RemoteDatasetTest::test_load_dataset_chr_en > ``` > > appeared on master 3 hours ago and are now fixed. > (it was due to today's update of `xlrd` that broke two datasets) > > You can ignore them, they're not related to your dataset **If it is not a problem caused by us, we have already completed the review notes. You can then check it out and confirm?**
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https://github.com/huggingface/datasets/pull/1464
Reddit jokes
I re-started the test. @lhoestq let's hold off on merging for now though, having a conversation on Slack about some of the offensive content in the dataset and how/whether we want to present it.
196k Reddit Jokes dataset Dataset link- https://raw.githubusercontent.com/taivop/joke-dataset/master/reddit_jokes.json
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text: Reddit jokes 196k Reddit Jokes dataset Dataset link- https://raw.githubusercontent.com/taivop/joke-dataset/master/reddit_jokes.json I re-started the test. @lhoestq let's hold off on merging for now though, having a conversation on Slack about some of the offensive content in the dataset and how/whether we want to present it.
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https://github.com/huggingface/datasets/pull/1462
Added conv ai 2 (Again)
Thanks, @tanmoyio. How do I rerun the tests? Should I change something or push a new commit?
The original PR -> https://github.com/huggingface/datasets/pull/1383 Reason for creating again - The reason I had to create the PR again was due to the master rebasing issue. After rebasing the changes, all the previous commits got added to the branch.
17
text: Added conv ai 2 (Again) The original PR -> https://github.com/huggingface/datasets/pull/1383 Reason for creating again - The reason I had to create the PR again was due to the master rebasing issue. After rebasing the changes, all the previous commits got added to the branch. Thanks, @tanmoyio. How do I rerun the tests? Should I change something or push a new commit?
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https://github.com/huggingface/datasets/pull/1462
Added conv ai 2 (Again)
@rkc007 you don't need to rerun it, @lhoestq @yjernite will rerun it, as there are huge number of PRs in the queue it might take lil bit of time.
The original PR -> https://github.com/huggingface/datasets/pull/1383 Reason for creating again - The reason I had to create the PR again was due to the master rebasing issue. After rebasing the changes, all the previous commits got added to the branch.
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text: Added conv ai 2 (Again) The original PR -> https://github.com/huggingface/datasets/pull/1383 Reason for creating again - The reason I had to create the PR again was due to the master rebasing issue. After rebasing the changes, all the previous commits got added to the branch. @rkc007 you don't need to rerun it, @lhoestq @yjernite will rerun it, as there are huge number of PRs in the queue it might take lil bit of time.
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https://github.com/huggingface/datasets/pull/1462
Added conv ai 2 (Again)
Thank you @abhishekkrthakur. Can you please rerun it again? It seems something was broken in CI during the previous test.
The original PR -> https://github.com/huggingface/datasets/pull/1383 Reason for creating again - The reason I had to create the PR again was due to the master rebasing issue. After rebasing the changes, all the previous commits got added to the branch.
20
text: Added conv ai 2 (Again) The original PR -> https://github.com/huggingface/datasets/pull/1383 Reason for creating again - The reason I had to create the PR again was due to the master rebasing issue. After rebasing the changes, all the previous commits got added to the branch. Thank you @abhishekkrthakur. Can you please rerun it again? It seems something was broken in CI during the previous test.
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https://github.com/huggingface/datasets/pull/1462
Added conv ai 2 (Again)
@lhoestq Sorry for the mess. I don't know why this keeps on happening. I tried step by step process of updating the PR but seems something is wrong. This happened for 2nd time with the same PR. Apologies for that. New PR -> https://github.com/huggingface/datasets/pull/1527 Also, I fixed everything in the new PR.
The original PR -> https://github.com/huggingface/datasets/pull/1383 Reason for creating again - The reason I had to create the PR again was due to the master rebasing issue. After rebasing the changes, all the previous commits got added to the branch.
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text: Added conv ai 2 (Again) The original PR -> https://github.com/huggingface/datasets/pull/1383 Reason for creating again - The reason I had to create the PR again was due to the master rebasing issue. After rebasing the changes, all the previous commits got added to the branch. @lhoestq Sorry for the mess. I don't know why this keeps on happening. I tried step by step process of updating the PR but seems something is wrong. This happened for 2nd time with the same PR. Apologies for that. New PR -> https://github.com/huggingface/datasets/pull/1527 Also, I fixed everything in the new PR.
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https://github.com/huggingface/datasets/pull/1461
Adding NewsQA dataset
> Generate the dummy dataset then regenerate the dataset_info.json file, The pytest scripts do not accept manual directory inputs for the data provided manually. This is why the tests fail.
Since the dataset has legal restrictions to circulate the original data. It has to be manually downloaded by the user and loaded to the library.
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text: Adding NewsQA dataset Since the dataset has legal restrictions to circulate the original data. It has to be manually downloaded by the user and loaded to the library. > Generate the dummy dataset then regenerate the dataset_info.json file, The pytest scripts do not accept manual directory inputs for the data provided manually. This is why the tests fail.
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https://github.com/huggingface/datasets/pull/1461
Adding NewsQA dataset
don't use the --auto-generate argument and you will get a brief instructions on how to create dummy data for your dataset, also you dont have to run the pytest for main dataset if your data is needed to be downloaded manually, just run the pytest for dummy dataset, and when you will create the json you need to provide the main data directory path by using this argument --data_dir
Since the dataset has legal restrictions to circulate the original data. It has to be manually downloaded by the user and loaded to the library.
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text: Adding NewsQA dataset Since the dataset has legal restrictions to circulate the original data. It has to be manually downloaded by the user and loaded to the library. don't use the --auto-generate argument and you will get a brief instructions on how to create dummy data for your dataset, also you dont have to run the pytest for main dataset if your data is needed to be downloaded manually, just run the pytest for dummy dataset, and when you will create the json you need to provide the main data directory path by using this argument --data_dir
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https://github.com/huggingface/datasets/pull/1461
Adding NewsQA dataset
Thanks for your help, @tanmoyio I tried with and without --auto_generate flag. Here are the issues. **With --auto_generate** `python datasets-cli dummy_data datasets/newsqa/ --auto_generate ` `Traceback (most recent call last): File "datasets-cli", line 36, in <module> service.run() File "/Users/sanjaykamath/Python_Projects/HuggingFace/datasets/src/datasets/commands/dummy_data.py", line 321, in run keep_uncompressed=self._keep_uncompressed, File "/Users/sanjaykamath/Python_Projects/HuggingFace/datasets/src/datasets/commands/dummy_data.py", line 340, in _autogenerate_dummy_data dataset_builder._split_generators(dl_manager) File "/Users/sanjaykamath/.cache/huggingface/modules/datasets_modules/datasets/newsqa/7a565b204506c1fd91047290073be54d3ae05fa2b0ab17ae0bc6f709350fcbca/newsqa.py", line 180, in _split_generators path_to_manual_folder = os.path.abspath(os.path.expanduser(dl_manager.manual_dir)) File "/Users/sanjaykamath/anaconda3/envs/huggingface/lib/python3.7/posixpath.py", line 235, in expanduser path = os.fspath(path) TypeError: expected str, bytes or os.PathLike object, not NoneType ` **Without --auto_generate** `python datasets-cli dummy_data datasets/newsqa/` `Dataset with config BuilderConfig(name='combined-csv', version=1.0.0, data_dir=None, data_files=None, description='This part of the dataset covers the whole dataset in the combined format of CSV as mentioned here: https://github.com/Maluuba/newsqa#csv') seems to already open files in the method `_split_generators(...)`. You might consider to instead only open files in the method `_generate_examples(...)` instead. If this is not possible the dummy data has to be created with less guidance. Make sure you create the file None. Traceback (most recent call last): File "datasets-cli", line 36, in <module> service.run() File "/Users/sanjaykamath/Python_Projects/HuggingFace/datasets/src/datasets/commands/dummy_data.py", line 326, in run dataset_builder=dataset_builder, mock_dl_manager=mock_dl_manager File "/Users/sanjaykamath/Python_Projects/HuggingFace/datasets/src/datasets/commands/dummy_data.py", line 406, in _print_dummy_data_instructions for split in generator_splits: UnboundLocalError: local variable 'generator_splits' referenced before assignment `
Since the dataset has legal restrictions to circulate the original data. It has to be manually downloaded by the user and loaded to the library.
192
text: Adding NewsQA dataset Since the dataset has legal restrictions to circulate the original data. It has to be manually downloaded by the user and loaded to the library. Thanks for your help, @tanmoyio I tried with and without --auto_generate flag. Here are the issues. **With --auto_generate** `python datasets-cli dummy_data datasets/newsqa/ --auto_generate ` `Traceback (most recent call last): File "datasets-cli", line 36, in <module> service.run() File "/Users/sanjaykamath/Python_Projects/HuggingFace/datasets/src/datasets/commands/dummy_data.py", line 321, in run keep_uncompressed=self._keep_uncompressed, File "/Users/sanjaykamath/Python_Projects/HuggingFace/datasets/src/datasets/commands/dummy_data.py", line 340, in _autogenerate_dummy_data dataset_builder._split_generators(dl_manager) File "/Users/sanjaykamath/.cache/huggingface/modules/datasets_modules/datasets/newsqa/7a565b204506c1fd91047290073be54d3ae05fa2b0ab17ae0bc6f709350fcbca/newsqa.py", line 180, in _split_generators path_to_manual_folder = os.path.abspath(os.path.expanduser(dl_manager.manual_dir)) File "/Users/sanjaykamath/anaconda3/envs/huggingface/lib/python3.7/posixpath.py", line 235, in expanduser path = os.fspath(path) TypeError: expected str, bytes or os.PathLike object, not NoneType ` **Without --auto_generate** `python datasets-cli dummy_data datasets/newsqa/` `Dataset with config BuilderConfig(name='combined-csv', version=1.0.0, data_dir=None, data_files=None, description='This part of the dataset covers the whole dataset in the combined format of CSV as mentioned here: https://github.com/Maluuba/newsqa#csv') seems to already open files in the method `_split_generators(...)`. You might consider to instead only open files in the method `_generate_examples(...)` instead. If this is not possible the dummy data has to be created with less guidance. Make sure you create the file None. Traceback (most recent call last): File "datasets-cli", line 36, in <module> service.run() File "/Users/sanjaykamath/Python_Projects/HuggingFace/datasets/src/datasets/commands/dummy_data.py", line 326, in run dataset_builder=dataset_builder, mock_dl_manager=mock_dl_manager File "/Users/sanjaykamath/Python_Projects/HuggingFace/datasets/src/datasets/commands/dummy_data.py", line 406, in _print_dummy_data_instructions for split in generator_splits: UnboundLocalError: local variable 'generator_splits' referenced before assignment `
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https://github.com/huggingface/datasets/pull/1461
Adding NewsQA dataset
Excellent comments. Thanks @lhoestq for your valuable comments. I've changed everything you had mentioned and the tests pass now. Let me know if something still needs to be changed.
Since the dataset has legal restrictions to circulate the original data. It has to be manually downloaded by the user and loaded to the library.
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text: Adding NewsQA dataset Since the dataset has legal restrictions to circulate the original data. It has to be manually downloaded by the user and loaded to the library. Excellent comments. Thanks @lhoestq for your valuable comments. I've changed everything you had mentioned and the tests pass now. Let me know if something still needs to be changed.
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https://github.com/huggingface/datasets/pull/1460
add Bengali Hate Speech dataset
@lhoestq I think you might want to look at the dataset, and the first data instances mentioned in the README.md is very much offensive. Though this dataset is based on hate speech but I found the dataset heavily disturbing as Bengali is my native language.
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text: add Bengali Hate Speech dataset @lhoestq I think you might want to look at the dataset, and the first data instances mentioned in the README.md is very much offensive. Though this dataset is based on hate speech but I found the dataset heavily disturbing as Bengali is my native language.
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https://github.com/huggingface/datasets/pull/1460
add Bengali Hate Speech dataset
Hi @tanmoyio indeed you're right. We should *at least* add very explicit mentions in the dataset card that the content of this dataset contains very offensive language. We should also put it in perspective with the tasks it tries to solve, the annotation process and the limitations. We have to make sure that nothing is unclear/misleading nor could lead to bad usage of the dataset. What do you think @tanmoyio ? Also feel free to suggest modifications in the dataset cards if you feel like some sections require corrections or more details
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text: add Bengali Hate Speech dataset Hi @tanmoyio indeed you're right. We should *at least* add very explicit mentions in the dataset card that the content of this dataset contains very offensive language. We should also put it in perspective with the tasks it tries to solve, the annotation process and the limitations. We have to make sure that nothing is unclear/misleading nor could lead to bad usage of the dataset. What do you think @tanmoyio ? Also feel free to suggest modifications in the dataset cards if you feel like some sections require corrections or more details
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https://github.com/huggingface/datasets/pull/1460
add Bengali Hate Speech dataset
> Hi @tanmoyio indeed you're right. > We should _at least_ add very explicit mentions in the dataset card that the content of this dataset contains very offensive language. We should also put it in perspective with the tasks it tries to solve, the annotation process and the limitations. > > We have to make sure that nothing is unclear/misleading nor could lead to bad usage of the dataset. > > What do you think @tanmoyio ? > Also feel free to suggest modifications in the dataset cards if you feel like some sections require corrections or more details yeah I agree with you. It would be good if "Personal and Sensitive Information" and "Considerations for Using the Data" is being explained properly in the README.md. @stevhliu
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text: add Bengali Hate Speech dataset > Hi @tanmoyio indeed you're right. > We should _at least_ add very explicit mentions in the dataset card that the content of this dataset contains very offensive language. We should also put it in perspective with the tasks it tries to solve, the annotation process and the limitations. > > We have to make sure that nothing is unclear/misleading nor could lead to bad usage of the dataset. > > What do you think @tanmoyio ? > Also feel free to suggest modifications in the dataset cards if you feel like some sections require corrections or more details yeah I agree with you. It would be good if "Personal and Sensitive Information" and "Considerations for Using the Data" is being explained properly in the README.md. @stevhliu
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https://github.com/huggingface/datasets/pull/1460
add Bengali Hate Speech dataset
This looks ok to merge for me. Let me know @stevhliu and @tanmoyio if you want to add something or if it looks good to you
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text: add Bengali Hate Speech dataset This looks ok to merge for me. Let me know @stevhliu and @tanmoyio if you want to add something or if it looks good to you
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https://github.com/huggingface/datasets/pull/1455
Add HEAD-QA: A Healthcare Dataset for Complex Reasoning
Thank you for your review @lhoestq, I've changed the types of `qid` and `ra` and now they are integers as `aid`. Ready for another review!
HEAD-QA is a multi-choice HEAlthcare Dataset, the questions come from exams to access a specialized position in the Spanish healthcare system.
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text: Add HEAD-QA: A Healthcare Dataset for Complex Reasoning HEAD-QA is a multi-choice HEAlthcare Dataset, the questions come from exams to access a specialized position in the Spanish healthcare system. Thank you for your review @lhoestq, I've changed the types of `qid` and `ra` and now they are integers as `aid`. Ready for another review!
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https://github.com/huggingface/datasets/pull/1449
add W&I + LOCNESS dataset (BEA-2019 workshop shared task on GEC) [PROPER]
linter your code with flake8 and also run the commands present in Makefile for proper formatting
- **Name:** W&I + LOCNESS dataset (from the BEA-2019 workshop shared task on GEC) - **Description:** https://www.cl.cam.ac.uk/research/nl/bea2019st/#data - **Paper:** https://www.aclweb.org/anthology/W19-4406/ - **Motivation:** This is a recent dataset (actually two in one) for grammatical error correction and is used for benchmarking in this field of NLP. ### Checkbox - [x] Create the dataset script `/datasets/my_dataset/my_dataset.py` using the template - [x] Fill the `_DESCRIPTION` and `_CITATION` variables - [x] Implement `_infos()`, `_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.
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text: add W&I + LOCNESS dataset (BEA-2019 workshop shared task on GEC) [PROPER] - **Name:** W&I + LOCNESS dataset (from the BEA-2019 workshop shared task on GEC) - **Description:** https://www.cl.cam.ac.uk/research/nl/bea2019st/#data - **Paper:** https://www.aclweb.org/anthology/W19-4406/ - **Motivation:** This is a recent dataset (actually two in one) for grammatical error correction and is used for benchmarking in this field of NLP. ### Checkbox - [x] Create the dataset script `/datasets/my_dataset/my_dataset.py` using the template - [x] Fill the `_DESCRIPTION` and `_CITATION` variables - [x] Implement `_infos()`, `_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. linter your code with flake8 and also run the commands present in Makefile for proper formatting
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https://github.com/huggingface/datasets/pull/1447
Update step-by-step guide for windows
Hi @thomwolf, for simplification purposes, I think you could remove the "`pip install ...`" steps from this commit, 'cause these deps (black, isort, flake8) are already installed on `pip install -e ".[dev]"` on the [Start by preparing your environment](https://github.com/huggingface/datasets/blob/704107f924e74445f6f0fbde69a218b72178b588/ADD_NEW_DATASET.md#start-by-preparing-your-environment)
Update step-by-step guide for windows to give an alternative to `make style`.
39
text: Update step-by-step guide for windows Update step-by-step guide for windows to give an alternative to `make style`. Hi @thomwolf, for simplification purposes, I think you could remove the "`pip install ...`" steps from this commit, 'cause these deps (black, isort, flake8) are already installed on `pip install -e ".[dev]"` on the [Start by preparing your environment](https://github.com/huggingface/datasets/blob/704107f924e74445f6f0fbde69a218b72178b588/ADD_NEW_DATASET.md#start-by-preparing-your-environment)
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https://github.com/huggingface/datasets/pull/1445
Added dataset clickbait_news_bg
Looks like this PR includes changes about many other files than the ones for clickbait_news_bg Can you create another branch and another PR please ?
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text: Added dataset clickbait_news_bg Looks like this PR includes changes about many other files than the ones for clickbait_news_bg Can you create another branch and another PR please ?
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https://github.com/huggingface/datasets/pull/1445
Added dataset clickbait_news_bg
I created a new branch with the dataset code and submitted a new PR for it: https://github.com/huggingface/datasets/pull/1568
17
text: Added dataset clickbait_news_bg I created a new branch with the dataset code and submitted a new PR for it: https://github.com/huggingface/datasets/pull/1568
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https://github.com/huggingface/datasets/pull/1440
Adding english plaintext jokes dataset
Hi @purvimisal, thanks for your contributions! This jokes dataset has come up before, and after a conversation with the initial submitter, we decided not to add it then. Humor is important, but looking at the actual data points in this set raises several concerns :) The main issue is the Reddit part of the dataset which has most of the examples. A cursory look at the data shows a large number of highly offensive jokes that reproduce some pretty harmful biases (the second one from the top is a Holocaust joke). The other two sources have similar issues (especially the "Blond Jokes") to a slightly lesser extent. While such datasets can be useful in the right context, there is a real concern that people using the library might miss some of this context (however much we outline it), and end up unwittingly training models that rely on some pretty racist and sexist associations. We would recommend skipping this dataset altogether. If you feel really strongly about having a joke dataset, then we would ask that you: - remove the Reddit part of the dataset altogether - write an in-depth description of the social biases present in the remaining data Let us know which of the two you decide! And if you want recommendations on other datasets to add, hit us up on Slack 🤗
This PR adds a dataset of 200k English plaintext Jokes from three sources: Reddit, Stupidstuff, and Wocka. Link: https://github.com/taivop/joke-dataset This is my second PR. First was: [#1269 ](https://github.com/huggingface/datasets/pull/1269)
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text: Adding english plaintext jokes dataset This PR adds a dataset of 200k English plaintext Jokes from three sources: Reddit, Stupidstuff, and Wocka. Link: https://github.com/taivop/joke-dataset This is my second PR. First was: [#1269 ](https://github.com/huggingface/datasets/pull/1269) Hi @purvimisal, thanks for your contributions! This jokes dataset has come up before, and after a conversation with the initial submitter, we decided not to add it then. Humor is important, but looking at the actual data points in this set raises several concerns :) The main issue is the Reddit part of the dataset which has most of the examples. A cursory look at the data shows a large number of highly offensive jokes that reproduce some pretty harmful biases (the second one from the top is a Holocaust joke). The other two sources have similar issues (especially the "Blond Jokes") to a slightly lesser extent. While such datasets can be useful in the right context, there is a real concern that people using the library might miss some of this context (however much we outline it), and end up unwittingly training models that rely on some pretty racist and sexist associations. We would recommend skipping this dataset altogether. If you feel really strongly about having a joke dataset, then we would ask that you: - remove the Reddit part of the dataset altogether - write an in-depth description of the social biases present in the remaining data Let us know which of the two you decide! And if you want recommendations on other datasets to add, hit us up on Slack 🤗
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https://github.com/huggingface/datasets/pull/1440
Adding english plaintext jokes dataset
Hi @yjernite, thanks so much. I should've totally thought about this earlier. The harmful biases make so much sense. I should've consulted before making a PR. I will be closing this one and skipping this dataset altogether. Thanks again
This PR adds a dataset of 200k English plaintext Jokes from three sources: Reddit, Stupidstuff, and Wocka. Link: https://github.com/taivop/joke-dataset This is my second PR. First was: [#1269 ](https://github.com/huggingface/datasets/pull/1269)
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text: Adding english plaintext jokes dataset This PR adds a dataset of 200k English plaintext Jokes from three sources: Reddit, Stupidstuff, and Wocka. Link: https://github.com/taivop/joke-dataset This is my second PR. First was: [#1269 ](https://github.com/huggingface/datasets/pull/1269) Hi @yjernite, thanks so much. I should've totally thought about this earlier. The harmful biases make so much sense. I should've consulted before making a PR. I will be closing this one and skipping this dataset altogether. Thanks again
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https://github.com/huggingface/datasets/pull/1438
A descriptive name for my changes
I have noticed that the master branch of your fork has diverged from the one of the repo. This is probably what causes the mess in the github diff "Files changed". I would suggest to re-fork the `datasets` repo and recreate a new branch and a new PR.
hind encorp resubmited
48
text: A descriptive name for my changes hind encorp resubmited I have noticed that the master branch of your fork has diverged from the one of the repo. This is probably what causes the mess in the github diff "Files changed". I would suggest to re-fork the `datasets` repo and recreate a new branch and a new PR.
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https://github.com/huggingface/datasets/pull/1438
A descriptive name for my changes
You're pretty close to having all things ready to merge ! Feel free to ping me when you have a new PR
hind encorp resubmited
22
text: A descriptive name for my changes hind encorp resubmited You're pretty close to having all things ready to merge ! Feel free to ping me when you have a new PR
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https://github.com/huggingface/datasets/pull/1437
Add Indosum dataset
Hi @prasastoadi have you had a chance to take a look at my suggestions ? Feel free to ping ;e if you have questions or when you're ready for a review
31
text: Add Indosum dataset Hi @prasastoadi have you had a chance to take a look at my suggestions ? Feel free to ping ;e if you have questions or when you're ready for a review
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https://github.com/huggingface/datasets/pull/1435
Add FreebaseQA dataset
@yjernite @lhoestq Any suggestions on how to get the dummy data generator to recognize the columns? The structure of the json is: ``` { "Dataset": "FreebaseQA-eval", "Version": "1.0", "Questions": [ { "Question-ID": "FreebaseQA-eval-0", "RawQuestion": "Who is the female presenter of the Channel 4 quiz show '1001 things you should know'?", "ProcessedQuestion": "who is the female presenter of the channel 4 quiz show '1001 things you should know'", "Parses": [ { "Parse-Id": "FreebaseQA-eval-0.P0", "PotentialTopicEntityMention": "1001 things you should know", "TopicEntityName": "1001 things you should know", "TopicEntityMid": "m.0nd3t34", "InferentialChain": "tv.tv_program.regular_personal_appearances..tv.tv_regular_personal_appearance.person", "Answers": [ { "AnswersMid": "m.0216y_", "AnswersName": [ "sandi toksvig" ] } ] } ] }, ... ] } ``` Thanks!
This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph Repo: https://github.com/kelvin-jiang/FreebaseQA Paper: https://www.aclweb.org/anthology/N19-1028.pdf ## TODO: create dummy data Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate` ``` f"Couldn't parse columns {list(json_data.keys())}. " ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>. ```
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text: Add FreebaseQA dataset This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph Repo: https://github.com/kelvin-jiang/FreebaseQA Paper: https://www.aclweb.org/anthology/N19-1028.pdf ## TODO: create dummy data Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate` ``` f"Couldn't parse columns {list(json_data.keys())}. " ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>. ``` @yjernite @lhoestq Any suggestions on how to get the dummy data generator to recognize the columns? The structure of the json is: ``` { "Dataset": "FreebaseQA-eval", "Version": "1.0", "Questions": [ { "Question-ID": "FreebaseQA-eval-0", "RawQuestion": "Who is the female presenter of the Channel 4 quiz show '1001 things you should know'?", "ProcessedQuestion": "who is the female presenter of the channel 4 quiz show '1001 things you should know'", "Parses": [ { "Parse-Id": "FreebaseQA-eval-0.P0", "PotentialTopicEntityMention": "1001 things you should know", "TopicEntityName": "1001 things you should know", "TopicEntityMid": "m.0nd3t34", "InferentialChain": "tv.tv_program.regular_personal_appearances..tv.tv_regular_personal_appearance.person", "Answers": [ { "AnswersMid": "m.0216y_", "AnswersName": [ "sandi toksvig" ] } ] } ] }, ... ] } ``` Thanks!
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https://github.com/huggingface/datasets/pull/1435
Add FreebaseQA dataset
Unfortunately this json structure is not recognized by the auto-generation yet, so you'd have to create the dummy data manually. You can get some instructions on how to do that with: `python datasets-cli dummy_data datasets/freebase_qa` We can definitely help you with that if there are too many files!
This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph Repo: https://github.com/kelvin-jiang/FreebaseQA Paper: https://www.aclweb.org/anthology/N19-1028.pdf ## TODO: create dummy data Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate` ``` f"Couldn't parse columns {list(json_data.keys())}. " ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>. ```
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text: Add FreebaseQA dataset This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph Repo: https://github.com/kelvin-jiang/FreebaseQA Paper: https://www.aclweb.org/anthology/N19-1028.pdf ## TODO: create dummy data Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate` ``` f"Couldn't parse columns {list(json_data.keys())}. " ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>. ``` Unfortunately this json structure is not recognized by the auto-generation yet, so you'd have to create the dummy data manually. You can get some instructions on how to do that with: `python datasets-cli dummy_data datasets/freebase_qa` We can definitely help you with that if there are too many files!
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https://github.com/huggingface/datasets/pull/1435
Add FreebaseQA dataset
@yjernite Thanks for the instructions. I manually added dummy data and created the zip file but one of the splits seem to return an empty list. ``` tests/test_dataset_common.py F [100%] ========================= FAILURES ========================== _ LocalDatasetTest.test_load_dataset_all_configs_freebase_qa _ self = <tests.test_dataset_common.LocalDatasetTest testMethod=test_load_dataset_all_configs_freebase_qa> dataset_name = 'freebase_qa' @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 ``` Note that the dataset has `train`, `eval`, and `dev` (no test split). I am not sure if I am mapping them correctly when I called the Split Generator.
This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph Repo: https://github.com/kelvin-jiang/FreebaseQA Paper: https://www.aclweb.org/anthology/N19-1028.pdf ## TODO: create dummy data Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate` ``` f"Couldn't parse columns {list(json_data.keys())}. " ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>. ```
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text: Add FreebaseQA dataset This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph Repo: https://github.com/kelvin-jiang/FreebaseQA Paper: https://www.aclweb.org/anthology/N19-1028.pdf ## TODO: create dummy data Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate` ``` f"Couldn't parse columns {list(json_data.keys())}. " ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>. ``` @yjernite Thanks for the instructions. I manually added dummy data and created the zip file but one of the splits seem to return an empty list. ``` tests/test_dataset_common.py F [100%] ========================= FAILURES ========================== _ LocalDatasetTest.test_load_dataset_all_configs_freebase_qa _ self = <tests.test_dataset_common.LocalDatasetTest testMethod=test_load_dataset_all_configs_freebase_qa> dataset_name = 'freebase_qa' @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 ``` Note that the dataset has `train`, `eval`, and `dev` (no test split). I am not sure if I am mapping them correctly when I called the Split Generator.
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https://github.com/huggingface/datasets/pull/1435
Add FreebaseQA dataset
The dummy json files must follow the exact same structure as the original json files. However it looks like the dummy json files you have in your dummy_data.zip file are not structured the same way. For example the original json is a dict with a field "Questions" that is a list of items. However your dummy json is simply a list of items. Can you update your dummy json files to follow the same structure ?
This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph Repo: https://github.com/kelvin-jiang/FreebaseQA Paper: https://www.aclweb.org/anthology/N19-1028.pdf ## TODO: create dummy data Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate` ``` f"Couldn't parse columns {list(json_data.keys())}. " ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>. ```
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text: Add FreebaseQA dataset This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph Repo: https://github.com/kelvin-jiang/FreebaseQA Paper: https://www.aclweb.org/anthology/N19-1028.pdf ## TODO: create dummy data Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate` ``` f"Couldn't parse columns {list(json_data.keys())}. " ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>. ``` The dummy json files must follow the exact same structure as the original json files. However it looks like the dummy json files you have in your dummy_data.zip file are not structured the same way. For example the original json is a dict with a field "Questions" that is a list of items. However your dummy json is simply a list of items. Can you update your dummy json files to follow the same structure ?
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https://github.com/huggingface/datasets/pull/1435
Add FreebaseQA dataset
And I'm pretty sure that this structure is supported by the dummy data auto-generation tool ``` python datasets-cli dummy_data ./datasets/freebase_qa --json_field "Questions" ```
This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph Repo: https://github.com/kelvin-jiang/FreebaseQA Paper: https://www.aclweb.org/anthology/N19-1028.pdf ## TODO: create dummy data Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate` ``` f"Couldn't parse columns {list(json_data.keys())}. " ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>. ```
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text: Add FreebaseQA dataset This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph Repo: https://github.com/kelvin-jiang/FreebaseQA Paper: https://www.aclweb.org/anthology/N19-1028.pdf ## TODO: create dummy data Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate` ``` f"Couldn't parse columns {list(json_data.keys())}. " ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>. ``` And I'm pretty sure that this structure is supported by the dummy data auto-generation tool ``` python datasets-cli dummy_data ./datasets/freebase_qa --json_field "Questions" ```
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https://github.com/huggingface/datasets/pull/1435
Add FreebaseQA dataset
Hi @anaerobeth did you manage to get the dummy data right ? Feel free to ping me if you have questions or when you're ready for a review
This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph Repo: https://github.com/kelvin-jiang/FreebaseQA Paper: https://www.aclweb.org/anthology/N19-1028.pdf ## TODO: create dummy data Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate` ``` f"Couldn't parse columns {list(json_data.keys())}. " ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>. ```
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text: Add FreebaseQA dataset This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph Repo: https://github.com/kelvin-jiang/FreebaseQA Paper: https://www.aclweb.org/anthology/N19-1028.pdf ## TODO: create dummy data Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate` ``` f"Couldn't parse columns {list(json_data.keys())}. " ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>. ``` Hi @anaerobeth did you manage to get the dummy data right ? Feel free to ping me if you have questions or when you're ready for a review
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https://github.com/huggingface/datasets/pull/1435
Add FreebaseQA dataset
Thanks for your help! I am able to create the dummy data with the dict structure as suggested. I'll add the tags and update this PR shortly.
This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph Repo: https://github.com/kelvin-jiang/FreebaseQA Paper: https://www.aclweb.org/anthology/N19-1028.pdf ## TODO: create dummy data Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate` ``` f"Couldn't parse columns {list(json_data.keys())}. " ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>. ```
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text: Add FreebaseQA dataset This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph Repo: https://github.com/kelvin-jiang/FreebaseQA Paper: https://www.aclweb.org/anthology/N19-1028.pdf ## TODO: create dummy data Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate` ``` f"Couldn't parse columns {list(json_data.keys())}. " ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>. ``` Thanks for your help! I am able to create the dummy data with the dict structure as suggested. I'll add the tags and update this PR shortly.
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https://github.com/huggingface/datasets/pull/1435
Add FreebaseQA dataset
Also don't forget to run `make style` to fix the code formatting check in the CI :)
This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph Repo: https://github.com/kelvin-jiang/FreebaseQA Paper: https://www.aclweb.org/anthology/N19-1028.pdf ## TODO: create dummy data Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate` ``` f"Couldn't parse columns {list(json_data.keys())}. " ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>. ```
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text: Add FreebaseQA dataset This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph Repo: https://github.com/kelvin-jiang/FreebaseQA Paper: https://www.aclweb.org/anthology/N19-1028.pdf ## TODO: create dummy data Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate` ``` f"Couldn't parse columns {list(json_data.keys())}. " ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>. ``` Also don't forget to run `make style` to fix the code formatting check in the CI :)
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https://github.com/huggingface/datasets/pull/1435
Add FreebaseQA dataset
Hi @anaerobeth ! Have you had a chance to consider updating the dataset script to yield one example per question ? Feel free to ping me if you have questions or if I can help :)
This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph Repo: https://github.com/kelvin-jiang/FreebaseQA Paper: https://www.aclweb.org/anthology/N19-1028.pdf ## TODO: create dummy data Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate` ``` f"Couldn't parse columns {list(json_data.keys())}. " ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>. ```
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text: Add FreebaseQA dataset This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph Repo: https://github.com/kelvin-jiang/FreebaseQA Paper: https://www.aclweb.org/anthology/N19-1028.pdf ## TODO: create dummy data Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate` ``` f"Couldn't parse columns {list(json_data.keys())}. " ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>. ``` Hi @anaerobeth ! Have you had a chance to consider updating the dataset script to yield one example per question ? Feel free to ping me if you have questions or if I can help :)
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https://github.com/huggingface/datasets/pull/1435
Add FreebaseQA dataset
Hi @gchhablani thanks for proposing your help :) Sure if you want to take this forward feel free to do so. Also pinging @anaerobeth to make sure that you both don't work on the same thing at the same time
This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph Repo: https://github.com/kelvin-jiang/FreebaseQA Paper: https://www.aclweb.org/anthology/N19-1028.pdf ## TODO: create dummy data Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate` ``` f"Couldn't parse columns {list(json_data.keys())}. " ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>. ```
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text: Add FreebaseQA dataset This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph Repo: https://github.com/kelvin-jiang/FreebaseQA Paper: https://www.aclweb.org/anthology/N19-1028.pdf ## TODO: create dummy data Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate` ``` f"Couldn't parse columns {list(json_data.keys())}. " ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>. ``` Hi @gchhablani thanks for proposing your help :) Sure if you want to take this forward feel free to do so. Also pinging @anaerobeth to make sure that you both don't work on the same thing at the same time
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https://github.com/huggingface/datasets/pull/1435
Add FreebaseQA dataset
Hi ! Closing this one since the dataset was added in #1814 Thanks you two @anaerobeth and @gchhablani for adding this dataset !
This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph Repo: https://github.com/kelvin-jiang/FreebaseQA Paper: https://www.aclweb.org/anthology/N19-1028.pdf ## TODO: create dummy data Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate` ``` f"Couldn't parse columns {list(json_data.keys())}. " ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>. ```
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text: Add FreebaseQA dataset This PR adds the FreebaseQA dataset: A Trivia-type QA Data Set over the Freebase Knowledge Graph Repo: https://github.com/kelvin-jiang/FreebaseQA Paper: https://www.aclweb.org/anthology/N19-1028.pdf ## TODO: create dummy data Error encountered when running `python datasets-cli dummy_data datasets/freebase_qa --auto_generate` ``` f"Couldn't parse columns {list(json_data.keys())}. " ValueError: Couldn't parse columns ['Dataset', 'Version', 'Questions']. Maybe specify which json field must be used to read the data with --json_field <my_field>. ``` Hi ! Closing this one since the dataset was added in #1814 Thanks you two @anaerobeth and @gchhablani for adding this dataset !
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https://github.com/huggingface/datasets/pull/1434
add_sofc_materials_articles
Hey @lhoestq , thanks for the feedback on this! I updated the `_generate_examples` with some comments on the process, and reduced the `dummy_data.zip` down quite a bit as well. For the dummy data, I reduced the text to only three sentences, and aligned the corresponding entity/token/sentence annotations to that (reduced accordingly). The frames file is a strange combined format for the annotations and I found if I reduced that that would break the parser no matter what I did, so I left that as is. The difference between a reduced frames and non-reduced frames file in the compressed dummy data was only about ~4kb, so hopefully leaving this as is will be ok!
adding [SOFC-Exp Corpus](https://arxiv.org/abs/2006.03039)
113
text: add_sofc_materials_articles adding [SOFC-Exp Corpus](https://arxiv.org/abs/2006.03039) Hey @lhoestq , thanks for the feedback on this! I updated the `_generate_examples` with some comments on the process, and reduced the `dummy_data.zip` down quite a bit as well. For the dummy data, I reduced the text to only three sentences, and aligned the corresponding entity/token/sentence annotations to that (reduced accordingly). The frames file is a strange combined format for the annotations and I found if I reduced that that would break the parser no matter what I did, so I left that as is. The difference between a reduced frames and non-reduced frames file in the compressed dummy data was only about ~4kb, so hopefully leaving this as is will be ok!
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https://github.com/huggingface/datasets/pull/1430
Add 1.5 billion words Arabic corpus
Can't pass dummy data tests. For the instructions, it asks me to generate the following file `dummy_data/Youm7_XML_utf_8.rar/Youm7_utf_8.xml` which is strange, any ideas @lhoestq ? cc: I tested the data locally and it works, maybe the dummy tests doesn't support `rar` ?
Needs https://github.com/huggingface/datasets/pull/1429 to work.
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text: Add 1.5 billion words Arabic corpus Needs https://github.com/huggingface/datasets/pull/1429 to work. Can't pass dummy data tests. For the instructions, it asks me to generate the following file `dummy_data/Youm7_XML_utf_8.rar/Youm7_utf_8.xml` which is strange, any ideas @lhoestq ? cc: I tested the data locally and it works, maybe the dummy tests doesn't support `rar` ?
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https://github.com/huggingface/datasets/pull/1430
Add 1.5 billion words Arabic corpus
In the dummy_data.zip files you must include the rar file as if is was already extracted. In particular here `Youm7_XML_utf_8.rar` is a directory (not an archive).
Needs https://github.com/huggingface/datasets/pull/1429 to work.
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text: Add 1.5 billion words Arabic corpus Needs https://github.com/huggingface/datasets/pull/1429 to work. In the dummy_data.zip files you must include the rar file as if is was already extracted. In particular here `Youm7_XML_utf_8.rar` is a directory (not an archive).
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https://github.com/huggingface/datasets/pull/1430
Add 1.5 billion words Arabic corpus
Also I'm getting `BadRarFile: Failed the read enough data: req=16384 got=51` while trying to download and extract the `Alittihad_XML_utf_8.rar` file. Do you have this issue as well ? I have rarfile 4.0
Needs https://github.com/huggingface/datasets/pull/1429 to work.
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text: Add 1.5 billion words Arabic corpus Needs https://github.com/huggingface/datasets/pull/1429 to work. Also I'm getting `BadRarFile: Failed the read enough data: req=16384 got=51` while trying to download and extract the `Alittihad_XML_utf_8.rar` file. Do you have this issue as well ? I have rarfile 4.0
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https://github.com/huggingface/datasets/pull/1430
Add 1.5 billion words Arabic corpus
Sorry it was my mistake, I missed up the directories, it works now. Not sure why you got that error. I have the same version of `rarfile`. Between, there were some suggestions to change the dataset from `1bn_words_arabic` to `arabic_billion_words` like https://github.com/huggingface/datasets/tree/master/datasets/spanish_billion_words.
Needs https://github.com/huggingface/datasets/pull/1429 to work.
42
text: Add 1.5 billion words Arabic corpus Needs https://github.com/huggingface/datasets/pull/1429 to work. Sorry it was my mistake, I missed up the directories, it works now. Not sure why you got that error. I have the same version of `rarfile`. Between, there were some suggestions to change the dataset from `1bn_words_arabic` to `arabic_billion_words` like https://github.com/huggingface/datasets/tree/master/datasets/spanish_billion_words.
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https://github.com/huggingface/datasets/pull/1430
Add 1.5 billion words Arabic corpus
I'm ok with renaming the dataset `arabic_billion_words` if you want. Note that you will need to rename class name `ArabicBillionWords` instead of `BillionWords` (though `BillionWords` was not matching `1bn_words_arabic` anyway) You will need to regenerate the dataset_infos.json file after this change. OR alternatively just replace all mentions of `billion_words` with `arabic_billion_words` in dataset_infos.json <- this trick should save you some time :)
Needs https://github.com/huggingface/datasets/pull/1429 to work.
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text: Add 1.5 billion words Arabic corpus Needs https://github.com/huggingface/datasets/pull/1429 to work. I'm ok with renaming the dataset `arabic_billion_words` if you want. Note that you will need to rename class name `ArabicBillionWords` instead of `BillionWords` (though `BillionWords` was not matching `1bn_words_arabic` anyway) You will need to regenerate the dataset_infos.json file after this change. OR alternatively just replace all mentions of `billion_words` with `arabic_billion_words` in dataset_infos.json <- this trick should save you some time :)
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https://github.com/huggingface/datasets/pull/1430
Add 1.5 billion words Arabic corpus
Hmmm I'm still not able to run it on my side because of the rar error (I'm running macos) I just tried with rarfile 3.1 and it didn't work either. I would like to be able to run it end-to-end on my side before merging if you don't mind. Let me investigate this issue a little bit
Needs https://github.com/huggingface/datasets/pull/1429 to work.
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text: Add 1.5 billion words Arabic corpus Needs https://github.com/huggingface/datasets/pull/1429 to work. Hmmm I'm still not able to run it on my side because of the rar error (I'm running macos) I just tried with rarfile 3.1 and it didn't work either. I would like to be able to run it end-to-end on my side before merging if you don't mind. Let me investigate this issue a little bit
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https://github.com/huggingface/datasets/pull/1430
Add 1.5 billion words Arabic corpus
Ok I managed to solve the BadRarFile issue on my side :) To fix it I had to install the `unrar` tool for macos (though it seems it's not available with `brew install` anymore, I had to install it from elsewhere).
Needs https://github.com/huggingface/datasets/pull/1429 to work.
41
text: Add 1.5 billion words Arabic corpus Needs https://github.com/huggingface/datasets/pull/1429 to work. Ok I managed to solve the BadRarFile issue on my side :) To fix it I had to install the `unrar` tool for macos (though it seems it's not available with `brew install` anymore, I had to install it from elsewhere).
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https://github.com/huggingface/datasets/pull/1425
Add german common crawl dataset
Hi @Phil1108 ! Have you had a chance to take a look at my suggestions ? Feel free to ping me if you have questions or if you're ready for a review Thanks again for adding this dataset, this one is very useful !
Adding a subpart of the Common Crawl which was extracted with this repo https://github.com/facebookresearch/cc_net and additionally filtered for duplicates
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text: Add german common crawl dataset Adding a subpart of the Common Crawl which was extracted with this repo https://github.com/facebookresearch/cc_net and additionally filtered for duplicates Hi @Phil1108 ! Have you had a chance to take a look at my suggestions ? Feel free to ping me if you have questions or if you're ready for a review Thanks again for adding this dataset, this one is very useful !
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https://github.com/huggingface/datasets/pull/1425
Add german common crawl dataset
> > > Hi @Phil1108 ! > Have you had a chance to take a look at my suggestions ? > Feel free to ping me if you have questions or if you're ready for a review > > Thanks again for adding this dataset, this one is very useful ! Hello @lhoestq , okay so should we go on with only the 2 parts or wait until the hosting of all 200 GB is cleared at HF? If you want to merge it with the 2 parts only at first und upgrade later to all, sure I'll include the minor changes in the next few days and update it here
Adding a subpart of the Common Crawl which was extracted with this repo https://github.com/facebookresearch/cc_net and additionally filtered for duplicates
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text: Add german common crawl dataset Adding a subpart of the Common Crawl which was extracted with this repo https://github.com/facebookresearch/cc_net and additionally filtered for duplicates > > > Hi @Phil1108 ! > Have you had a chance to take a look at my suggestions ? > Feel free to ping me if you have questions or if you're ready for a review > > Thanks again for adding this dataset, this one is very useful ! Hello @lhoestq , okay so should we go on with only the 2 parts or wait until the hosting of all 200 GB is cleared at HF? If you want to merge it with the 2 parts only at first und upgrade later to all, sure I'll include the minor changes in the next few days and update it here
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https://github.com/huggingface/datasets/pull/1425
Add german common crawl dataset
I think we can wait a bit to find a solution for the hosting and update the PR to include all the files when it's done. In the meantime you can update the PR to take into account the suggestions regarding the dataset card, the parallel downloads and the use of eval. A safer alternative to eval is `ast.literal_eval`, it should do the job
Adding a subpart of the Common Crawl which was extracted with this repo https://github.com/facebookresearch/cc_net and additionally filtered for duplicates
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text: Add german common crawl dataset Adding a subpart of the Common Crawl which was extracted with this repo https://github.com/facebookresearch/cc_net and additionally filtered for duplicates I think we can wait a bit to find a solution for the hosting and update the PR to include all the files when it's done. In the meantime you can update the PR to take into account the suggestions regarding the dataset card, the parallel downloads and the use of eval. A safer alternative to eval is `ast.literal_eval`, it should do the job
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https://github.com/huggingface/datasets/pull/1423
Imppres
I incorporated all the changes but when I go to rebase I get the following error: ```python aclifton@pop-os:~/hf_datasets_sprint/datasets$ git rebase upstream/master error: cannot rebase: You have unstaged changes. error: Please commit or stash them. aclifton@pop-os:~/hf_datasets_sprint/datasets$ git stash Saved working directory and index state WIP on imppres: 51736236 Incorporated secondary sets as configurations instead of splits. aclifton@pop-os:~/hf_datasets_sprint/datasets$ git rebase upstream/master CONFLICT (add/add): Merge conflict in datasets/wiki_movies/wiki_movies.py Auto-merging datasets/wiki_movies/wiki_movies.py CONFLICT (add/add): Merge conflict in datasets/wiki_movies/dataset_infos.json Auto-merging datasets/wiki_movies/dataset_infos.json CONFLICT (add/add): Merge conflict in datasets/wiki_movies/README.md Auto-merging datasets/wiki_movies/README.md error: could not apply 04d08587... Created wiki_movies dataset. Resolve all conflicts manually, mark them as resolved with "git add/rm <conflicted_files>", then run "git rebase --continue". You can instead skip this commit: run "git rebase --skip". To abort and get back to the state before "git rebase", run "git rebase --abort". Could not apply 04d08587... Created wiki_movies dataset. aclifton@pop-os:~/hf_datasets_sprint/datasets$ git branch * (no branch, rebasing imppres) imppres logiqa_en master wiki_movies wiki_movies_htl aclifton@pop-os:~/hf_datasets_sprint/datasets$ git checkout imppres 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 aclifton@pop-os:~/hf_datasets_sprint/datasets$ ```
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.
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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 incorporated all the changes but when I go to rebase I get the following error: ```python aclifton@pop-os:~/hf_datasets_sprint/datasets$ git rebase upstream/master error: cannot rebase: You have unstaged changes. error: Please commit or stash them. aclifton@pop-os:~/hf_datasets_sprint/datasets$ git stash Saved working directory and index state WIP on imppres: 51736236 Incorporated secondary sets as configurations instead of splits. aclifton@pop-os:~/hf_datasets_sprint/datasets$ git rebase upstream/master CONFLICT (add/add): Merge conflict in datasets/wiki_movies/wiki_movies.py Auto-merging datasets/wiki_movies/wiki_movies.py CONFLICT (add/add): Merge conflict in datasets/wiki_movies/dataset_infos.json Auto-merging datasets/wiki_movies/dataset_infos.json CONFLICT (add/add): Merge conflict in datasets/wiki_movies/README.md Auto-merging datasets/wiki_movies/README.md error: could not apply 04d08587... Created wiki_movies dataset. Resolve all conflicts manually, mark them as resolved with "git add/rm <conflicted_files>", then run "git rebase --continue". You can instead skip this commit: run "git rebase --skip". To abort and get back to the state before "git rebase", run "git rebase --abort". Could not apply 04d08587... Created wiki_movies dataset. aclifton@pop-os:~/hf_datasets_sprint/datasets$ git branch * (no branch, rebasing imppres) imppres logiqa_en master wiki_movies wiki_movies_htl aclifton@pop-os:~/hf_datasets_sprint/datasets$ git checkout imppres 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 aclifton@pop-os:~/hf_datasets_sprint/datasets$ ```
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https://github.com/huggingface/datasets/pull/1423
Imppres
I think it's because the current branch includes changes about wiki_movies. Can you create a new branch from `master` and create another PR please ?
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.
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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 think it's because the current branch includes changes about wiki_movies. Can you create a new branch from `master` and create another PR please ?
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