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https://api.github.com/repos/huggingface/datasets/issues/1470 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1470/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1470/comments | https://api.github.com/repos/huggingface/datasets/issues/1470/events | https://github.com/huggingface/datasets/pull/1470 | 761,791,065 | MDExOlB1bGxSZXF1ZXN0NTM2NDA2MjQx | 1,470 | Add wiki lingua dataset | {
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"it’s failing because of `RemoteDatasetTest.test_load_dataset_orange_sum`\r\nwhich i think is not the dataset you are doing a PR for. Try rebasing with:\r\n```\r\ngit fetch upstream\r\ngit rebase upstream/master\r\ngit push -u -f origin your_branch\r\n```",
"> it’s failing because of `RemoteDatasetTest.test_load_dataset_orange_sum`\r\n> which i think is not the dataset you are doing a PR for. Try rebasing with:\r\n> \r\n> ```\r\n> git fetch upstream\r\n> git rebase upstream/master\r\n> git push -u -f origin your_branch\r\n> ```\r\n\r\nThanks, my branch seems to be up to date. \r\n```Current branch add-wiki-lingua-dataset is up to date.```",
"Also where do the google drive urls come from ?",
"looks like this PR includes changes about many other files than the ones for wiki_lingua.\r\n\r\nCan you create another branch and another PR ?\r\n(or you can try to fix this branch with rebase and push force if you're familiar with it)",
"Thanks for fixing the dummy data and removing the glob call :) ",
"> looks like this PR includes changes about many other files than the ones for wiki_lingua.\r\n> \r\n> Can you create another branch and another PR ?\r\n> (or you can try to fix this branch with rebase and push force if you're familiar with it)\r\n\r\nEasier to create a new branch and submit, I have submitted a new PR #1582 ",
"Closing this one in favor of #1582 "
] | 2020-12-11T02:04:18Z | 2020-12-16T15:27:13Z | 2020-12-16T15:27:13Z | CONTRIBUTOR | null | null | false | {
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} | 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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"merging since the CI is fixed on master"
] | 2020-12-10T20:59:45Z | 2020-12-13T19:13:57Z | 2020-12-13T19:13:57Z | CONTRIBUTOR | null | null | false | {
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} | Updated PR to counter messed up history of previous one (https://github.com/huggingface/datasets/pull/1235) due to rebase.
Removed manual downloading of dataset. | {
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https://api.github.com/repos/huggingface/datasets/issues/1468 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1468/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1468/comments | https://api.github.com/repos/huggingface/datasets/issues/1468/events | https://github.com/huggingface/datasets/pull/1468 | 761,607,531 | MDExOlB1bGxSZXF1ZXN0NTM2MjQ5OTg0 | 1,468 | add Indonesian newspapers (id_newspapers_2018) | {
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"Looks like there's a `Path` issue on windows. Could you try switching to\r\n`glob.glob(os.path.join(article_dir, \"*.json\"))`",
"> Looks like there's a `Path` issue on windows. Could you try switching to\r\n> `glob.glob(os.path.join(article_dir, \"*.json\"))`\r\n\r\nThanks, 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.",
"It seems glob doesn't help also. Btw, one of the failing test tried to connect aws which failed:\r\n```\r\nC:\\tools\\miniconda3\\lib\\site-packages\\urllib3\\connection.py:160: \r\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _\r\n\r\naddress = ('s3.amazonaws.com', 443), timeout = 10, source_address = None\r\nsocket_options = [(6, 1, 1)]\r\n\r\n```\r\nWhy did it try to connect to aws? I don't use it.",
"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?\r\nI 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:\r\n```\r\n-- Docs: https://docs.pytest.org/en/stable/warnings.html\r\n=========================== short test summary info ============================\r\nFAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_ajgt_twitter_ar\r\nFAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_chr_en\r\nFAILED tests/test_dataset_common.py::RemoteDatasetTest::test_load_dataset_ajgt_twitter_ar\r\nFAILED tests/test_dataset_common.py::RemoteDatasetTest::test_load_dataset_chr_en\r\n===== 4 failed, 2667 passed, 2052 skipped, 4 warnings in 432.05s (0:07:12) =====\r\n\r\nExited with code exit status 1\r\nCircleCI received exit code 1\r\n```\r\nThe test failed on twitter dataset even my dataset has nothing to do with twitter? ",
"merging since the CI is fixed on master",
"Hi, thanks for merging the dataset. I create a new PR (#1499) since I need to update the link to the dataset. "
] | 2020-12-10T20:54:12Z | 2020-12-12T08:50:51Z | 2020-12-11T17:04:41Z | CONTRIBUTOR | null | null | false | {
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"merging since the CI is fixed on master",
"Thank you for the updates and merging!"
] | 2020-12-10T19:45:03Z | 2020-12-17T13:22:48Z | 2020-12-17T11:25:34Z | CONTRIBUTOR | null | null | false | {
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} | Adding simplified Japanese corpus "SNOW T15" and "SNOW T23".
They contain original Japanese, simplified Japanese, and original English (the original text is gotten from en-ja translation corpus). Hence, it can be used not only for Japanese simplification but also for en-ja translation.
- http://www.jnlp.org/SNOW/T15
- http://www.jnlp.org/SNOW/T23 | {
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"@SBrandeis, What exactly is it that makes the tests fail? Can you help me please?",
"These errors\r\n```\r\n=========================== short test summary info ============================\r\nFAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_ajgt_twitter_ar\r\nFAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_chr_en\r\nFAILED tests/test_dataset_common.py::RemoteDatasetTest::test_load_dataset_ajgt_twitter_ar\r\nFAILED tests/test_dataset_common.py::RemoteDatasetTest::test_load_dataset_chr_en\r\n```\r\nappeared on master 3 hours ago and are now fixed.\r\n(it was due to today's update of `xlrd` that broke two datasets)\r\n\r\nYou can ignore them, they're not related to your dataset",
"> These errors\r\n> \r\n> ```\r\n> =========================== short test summary info ============================\r\n> FAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_ajgt_twitter_ar\r\n> FAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_chr_en\r\n> FAILED tests/test_dataset_common.py::RemoteDatasetTest::test_load_dataset_ajgt_twitter_ar\r\n> FAILED tests/test_dataset_common.py::RemoteDatasetTest::test_load_dataset_chr_en\r\n> ```\r\n> \r\n> appeared on master 3 hours ago and are now fixed.\r\n> (it was due to today's update of `xlrd` that broke two datasets)\r\n> \r\n> You can ignore them, they're not related to your dataset\r\n\r\n**If it is not a problem caused by us, we have already completed the review notes. You can then check it out and confirm?**",
"merging since the CI is fixed on master"
] | 2020-12-10T19:41:12Z | 2020-12-11T14:27:15Z | 2020-12-11T14:27:15Z | CONTRIBUTOR | null | null | false | {
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} | 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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"@lhoestq rerun the tests "
] | 2020-12-10T19:22:00Z | 2020-12-14T10:30:21Z | 2020-12-14T10:30:21Z | CONTRIBUTOR | null | null | false | {
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"@lhoestq would you please rerun the test, ",
"I re-started the test.\r\n\r\n@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."
] | 2020-12-10T19:15:19Z | 2020-12-10T20:14:00Z | 2020-12-10T20:14:00Z | CONTRIBUTOR | null | null | true | {
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Dataset link- https://raw.githubusercontent.com/taivop/joke-dataset/master/reddit_jokes.json | {
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} | This PR adds features of the enriched_web_nlg dataset that were not present yet (most notably sorted rdf triplet sets), and deals with some xml issues that led to returning no data in cases where surgery could be performed to salvage it. | {
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"Looking perfect to me, need to rerun the tests\r\n",
"Thanks, @tanmoyio. \r\nHow do I rerun the tests? Should I change something or push a new commit?",
"@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. ",
"ive just re-run the tests",
"Thank you @abhishekkrthakur. Can you please rerun it again? It seems something was broken in CI during the previous test.",
"@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. \r\n\r\nNew PR -> https://github.com/huggingface/datasets/pull/1527\r\nAlso, I fixed everything in the new PR."
] | 2020-12-10T18:21:55Z | 2020-12-13T00:21:32Z | 2020-12-13T00:21:31Z | CONTRIBUTOR | null | null | false | {
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} | 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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"Generate the dummy dataset then regenerate the dataset_info.json file, ",
"> Generate the dummy dataset then regenerate the dataset_info.json file,\r\n\r\nThe pytest scripts do not accept manual directory inputs for the data provided manually. This is why the tests fail. ",
"don't use the --auto-generate argument and you will get a brief instructions on how to create dummy data for your dataset,\r\nalso 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",
"Thanks for your help, @tanmoyio \r\nI tried with and without --auto_generate flag. \r\nHere are the issues. \r\n\r\n**With --auto_generate**\r\n`python datasets-cli dummy_data datasets/newsqa/ --auto_generate `\r\n`Traceback (most recent call last):\r\n File \"datasets-cli\", line 36, in <module>\r\n service.run()\r\n File \"/Users/sanjaykamath/Python_Projects/HuggingFace/datasets/src/datasets/commands/dummy_data.py\", line 321, in run\r\n keep_uncompressed=self._keep_uncompressed,\r\n File \"/Users/sanjaykamath/Python_Projects/HuggingFace/datasets/src/datasets/commands/dummy_data.py\", line 340, in _autogenerate_dummy_data\r\n dataset_builder._split_generators(dl_manager)\r\n File \"/Users/sanjaykamath/.cache/huggingface/modules/datasets_modules/datasets/newsqa/7a565b204506c1fd91047290073be54d3ae05fa2b0ab17ae0bc6f709350fcbca/newsqa.py\", line 180, in _split_generators\r\n path_to_manual_folder = os.path.abspath(os.path.expanduser(dl_manager.manual_dir))\r\n File \"/Users/sanjaykamath/anaconda3/envs/huggingface/lib/python3.7/posixpath.py\", line 235, in expanduser\r\n path = os.fspath(path)\r\nTypeError: expected str, bytes or os.PathLike object, not NoneType\r\n`\r\n\r\n\r\n**Without --auto_generate**\r\n`python datasets-cli dummy_data datasets/newsqa/`\r\n`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.\r\nTraceback (most recent call last):\r\n File \"datasets-cli\", line 36, in <module>\r\n service.run()\r\n File \"/Users/sanjaykamath/Python_Projects/HuggingFace/datasets/src/datasets/commands/dummy_data.py\", line 326, in run\r\n dataset_builder=dataset_builder, mock_dl_manager=mock_dl_manager\r\n File \"/Users/sanjaykamath/Python_Projects/HuggingFace/datasets/src/datasets/commands/dummy_data.py\", line 406, in _print_dummy_data_instructions\r\n for split in generator_splits:\r\nUnboundLocalError: local variable 'generator_splits' referenced before assignment\r\n`\r\n",
"Excellent comments. Thanks @lhoestq for your valuable comments. \r\nI've changed everything you had mentioned and the tests pass now. \r\nLet me know if something still needs to be changed. ",
"Thank you very much @lhoestq @tanmoyio @yjernite @thomwolf for all your support :) "
] | 2020-12-10T17:01:10Z | 2020-12-17T18:29:03Z | 2020-12-17T18:27:36Z | CONTRIBUTOR | null | null | false | {
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"@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.",
"Hi @tanmoyio indeed you're right.\r\nWe 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.\r\n\r\nWe have to make sure that nothing is unclear/misleading nor could lead to bad usage of the dataset.\r\n\r\nWhat do you think @tanmoyio ?\r\nAlso feel free to suggest modifications in the dataset cards if you feel like some sections require corrections or more details",
"> Hi @tanmoyio indeed you're right.\r\n> 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.\r\n> \r\n> We have to make sure that nothing is unclear/misleading nor could lead to bad usage of the dataset.\r\n> \r\n> What do you think @tanmoyio ?\r\n> Also feel free to suggest modifications in the dataset cards if you feel like some sections require corrections or more details\r\n\r\nyeah 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 ",
"please let me know if there is anything else you'd like to see!",
"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",
"looks good to me @lhoestq 👍 ",
"merging since the CI is fixed on master"
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"_The documentation is not available anymore as the PR was closed or merged._"
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"merging since the CI is fixed on master"
] | 2020-12-10T13:20:34Z | 2020-12-17T10:45:15Z | 2020-12-17T10:45:15Z | CONTRIBUTOR | null | null | false | {
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} | Nergrit Corpus is a dataset collection of Indonesian Named Entity Recognition, Statement Extraction, and Sentiment Analysis.
Recently my PR for id_nergrit_ner has been accepted and merged to the main branch. The id_nergrit_ner has only one dataset (NER), and this new PR renamed the dataset from id_nergrit_ner to id_nergrit_corpus and added 2 other remaining datasets (Statement Extraction, and Sentiment Analysis.) | {
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} | Closes #773 | {
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"merging since the CI is fixed on master"
] | 2020-12-10T12:29:08Z | 2020-12-17T18:34:16Z | 2020-12-17T18:34:16Z | CONTRIBUTOR | null | null | false | {
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"> Thanks !\r\n\r\nThanks as well for your hard work 😊!!",
"merging since the CI is fixed on master"
] | 2020-12-10T12:13:21Z | 2020-12-14T15:00:46Z | 2020-12-14T10:31:24Z | CONTRIBUTOR | null | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/1452 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1452/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1452/comments | https://api.github.com/repos/huggingface/datasets/issues/1452/events | https://github.com/huggingface/datasets/issues/1452 | 761,104,924 | MDU6SXNzdWU3NjExMDQ5MjQ= | 1,452 | SNLI dataset contains labels with value -1 | {
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"I believe the `-1` label is used for missing/NULL data as per HuggingFace Dataset conventions. If I recall correctly SNLI has some entries with no (gold) labels in the dataset.",
"Ah, you're right. The dataset has some pairs with missing labels. Thanks for reminding me."
] | 2020-12-10T10:16:55Z | 2020-12-10T17:49:55Z | 2020-12-10T17:49:55Z | NONE | null | null | null | null | ```
import datasets
nli_data = datasets.load_dataset("snli")
train_data = nli_data['train']
train_labels = train_data['label']
label_set = set(train_labels)
print(label_set)
```
**Output:**
`{0, 1, 2, -1}` | {
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https://api.github.com/repos/huggingface/datasets/issues/1449 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1449/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1449/comments | https://api.github.com/repos/huggingface/datasets/issues/1449/events | https://github.com/huggingface/datasets/pull/1449 | 761,083,210 | MDExOlB1bGxSZXF1ZXN0NTM1ODA0MzEy | 1,449 | add W&I + LOCNESS dataset (BEA-2019 workshop shared task on GEC) [PROPER] | {
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"linter your code with flake8 and also run the commands present in Makefile for proper formatting \r\n",
"merging since the CI is fixed on master"
] | 2020-12-10T09:51:08Z | 2020-12-11T17:07:46Z | 2020-12-11T17:07:46Z | CONTRIBUTOR | null | null | false | {
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} | - **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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} | Thai Toxicity Tweet Corpus contains 3,300 tweets (506 tweets with texts missing) annotated by humans with guidelines including a 44-word dictionary. The author obtained 2,027 and 1,273 toxic and non-toxic tweets, respectively; these were labeled by three annotators. The result of corpus analysis indicates that tweets that include toxic words are not always toxic. Further, it is more likely that a tweet is toxic, if it contains toxic words indicating their original meaning. Moreover, disagreements in annotation are primarily because of sarcasm, unclear existing target, and word sense ambiguity.
Notes from data cleaner: The data is included into [huggingface/datasets](https://www.github.com/huggingface/datasets) in Dec 2020. By this time, 506 of the tweets are not available publicly anymore. We denote these by `TWEET_NOT_FOUND` in `tweet_text`.
Processing can be found at [this PR](https://github.com/tmu-nlp/ThaiToxicityTweetCorpus/pull/1). | {
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https://api.github.com/repos/huggingface/datasets/issues/1447 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1447/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1447/comments | https://api.github.com/repos/huggingface/datasets/issues/1447/events | https://github.com/huggingface/datasets/pull/1447 | 761,067,955 | MDExOlB1bGxSZXF1ZXN0NTM1NzkxODk1 | 1,447 | Update step-by-step guide for windows | {
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"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)\r\n"
] | 2020-12-10T09:30:59Z | 2020-12-10T12:18:47Z | 2020-12-10T09:31:14Z | MEMBER | null | null | false | {
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} | Update step-by-step guide for windows to give an alternative to `make style`. | {
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"Looks like this PR includes changes about many other files than the ones for clickbait_news_bg\r\n\r\nCan you create another branch and another PR please ?",
"I created a new branch with the dataset code and submitted a new PR for it: https://github.com/huggingface/datasets/pull/1568"
] | 2020-12-10T09:17:28Z | 2020-12-15T07:45:19Z | 2020-12-15T07:45:19Z | CONTRIBUTOR | null | null | false | {
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"This dataset will be available in version-2 of the library. If you want to use this dataset now, install datasets from `master` branch rather.\r\n\r\nCommand to install datasets from `master` branch:\r\n`!pip install git+https://github.com/huggingface/datasets.git@master`",
"Closing this, thanks @VasudevGupta7 "
] | 2020-12-10T09:14:47Z | 2020-12-15T17:41:14Z | 2020-12-15T17:41:14Z | NONE | null | null | null | null | ```py
!pip install datasets
import datasets as ds
corpus = ds.load_dataset('large_spanish_corpus')
```
gives the error
> FileNotFoundError: Couldn't find file locally at large_spanish_corpus/large_spanish_corpus.py, or remotely at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/large_spanish_corpus/large_spanish_corpus.py or https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/large_spanish_corpus/large_spanish_corpus.py
not just `large_spanish_corpus`, `zest` too, but `squad` is available.
this was using colab and localy | {
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"Thanks for your contribution, @abhishekkrthakur. Are you still interested in adding this dataset?\r\n\r\nWe are removing the dataset scripts from this GitHub repo and moving them to the Hugging Face Hub: https://huggingface.co/datasets\r\n\r\nWe would suggest you create this dataset there. Please, feel free to tell us if you need some help."
] | 2020-12-10T08:43:02Z | 2023-09-24T09:40:41Z | 2022-10-03T09:38:48Z | CONTRIBUTOR | null | null | true | {
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} | While I was adding one XML dataset, I noticed that all the dataset was loaded in memory during the dummy data generation process (using nearly all my laptop RAM).
Looking at the code, I have found that the origin is the use of `ET.parse()`. This method loads **all the file content in memory**.
In order to fix this, I have refactorized the code and use `ET.iterparse()` instead, which **parses the file content incrementally**.
I have also implemented a test. | {
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"Hi @purvimisal, thanks for your contributions!\r\n\r\nThis 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 :) \r\n\r\nThe 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). \r\n\r\nThe other two sources have similar issues (especially the \"Blond Jokes\") to a slightly lesser extent.\r\n\r\nWhile 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.\r\n\r\nWe would recommend skipping this dataset altogether.\r\n\r\nIf you feel really strongly about having a joke dataset, then we would ask that you:\r\n- remove the Reddit part of the dataset altogether\r\n- write an in-depth description of the social biases present in the remaining data\r\n\r\nLet us know which of the two you decide! And if you want recommendations on other datasets to add, hit us up on Slack 🤗 ",
"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. \r\nI will be closing this one and skipping this dataset altogether. \r\nThanks again \r\n"
] | 2020-12-10T07:04:17Z | 2020-12-13T05:22:00Z | 2020-12-12T05:55:43Z | CONTRIBUTOR | null | null | false | {
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} | 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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https://api.github.com/repos/huggingface/datasets/issues/1439 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1439/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1439/comments | https://api.github.com/repos/huggingface/datasets/issues/1439/events | https://github.com/huggingface/datasets/pull/1439 | 760,968,410 | MDExOlB1bGxSZXF1ZXN0NTM1NzA4NDU1 | 1,439 | Update README.md | {
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} | 1k-10k -> 1k-1M
3 separate configs are available with min. 1K and max. 211.3k examples | {
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"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\".\r\n\r\nI would suggest to re-fork the `datasets` repo and recreate a new branch and a new PR. ",
"You're pretty close to having all things ready to merge !\r\nFeel free to ping me when you have a new PR",
"Closing this one in favor of #1575 "
] | 2020-12-10T06:47:24Z | 2020-12-15T10:36:27Z | 2020-12-15T10:36:26Z | CONTRIBUTOR | null | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/1437 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1437/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1437/comments | https://api.github.com/repos/huggingface/datasets/issues/1437/events | https://github.com/huggingface/datasets/pull/1437 | 760,891,879 | MDExOlB1bGxSZXF1ZXN0NTM1NjQwODE0 | 1,437 | Add Indosum dataset | {
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"Hi @prasastoadi have you had a chance to take a look at my suggestions ?\r\n\r\nFeel free to ping ;e if you have questions or when you're ready for a review",
"Thanks for your contribution, @prasastoadi. Are you still interested in adding this dataset?\r\n\r\nWe are removing the dataset scripts from this GitHub repo and moving them to the Hugging Face Hub: https://huggingface.co/datasets\r\n\r\nWe would suggest you create this dataset there. Please, feel free to tell us if you need some help."
] | 2020-12-10T05:02:00Z | 2022-10-03T09:38:54Z | 2022-10-03T09:38:54Z | NONE | null | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/1436 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1436/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1436/comments | https://api.github.com/repos/huggingface/datasets/issues/1436/events | https://github.com/huggingface/datasets/pull/1436 | 760,873,132 | MDExOlB1bGxSZXF1ZXN0NTM1NjI1MDM0 | 1,436 | add ALT | {
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"The errors in de CI are fixed on master so it's fine"
] | 2020-12-10T04:17:21Z | 2020-12-13T16:14:18Z | 2020-12-11T15:52:41Z | CONTRIBUTOR | null | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/1435 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1435/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1435/comments | https://api.github.com/repos/huggingface/datasets/issues/1435/events | https://github.com/huggingface/datasets/pull/1435 | 760,867,325 | MDExOlB1bGxSZXF1ZXN0NTM1NjIwODE4 | 1,435 | Add FreebaseQA dataset | {
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"@yjernite @lhoestq Any suggestions on how to get the dummy data generator to recognize the columns? The structure of the json is:\r\n```\r\n{\r\n \"Dataset\": \"FreebaseQA-eval\", \r\n \"Version\": \"1.0\", \r\n \"Questions\": [\r\n {\r\n \"Question-ID\": \"FreebaseQA-eval-0\", \r\n \"RawQuestion\": \"Who is the female presenter of the Channel 4 quiz show '1001 things you should know'?\", \r\n \"ProcessedQuestion\": \"who is the female presenter of the channel 4 quiz show '1001 things you should know'\", \r\n \"Parses\": [\r\n {\r\n \"Parse-Id\": \"FreebaseQA-eval-0.P0\", \r\n \"PotentialTopicEntityMention\": \"1001 things you should know\", \r\n \"TopicEntityName\": \"1001 things you should know\", \r\n \"TopicEntityMid\": \"m.0nd3t34\", \r\n \"InferentialChain\": \"tv.tv_program.regular_personal_appearances..tv.tv_regular_personal_appearance.person\", \r\n \"Answers\": [\r\n {\r\n \"AnswersMid\": \"m.0216y_\", \r\n \"AnswersName\": [\r\n \"sandi toksvig\"\r\n ]\r\n }\r\n ]\r\n }\r\n ]\r\n }, \r\n ...\r\n ]\r\n}\r\n```\r\n\r\nThanks!",
"Unfortunately this json structure is not recognized by the auto-generation yet, so you'd have to create the dummy data manually. \r\nYou can get some instructions on how to do that with: `python datasets-cli dummy_data datasets/freebase_qa`\r\nWe can definitely help you with that if there are too many files! ",
"@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.\r\n\r\n```\r\ntests/test_dataset_common.py F [100%]\r\n\r\n========================= FAILURES ==========================\r\n_ LocalDatasetTest.test_load_dataset_all_configs_freebase_qa _\r\n\r\nself = <tests.test_dataset_common.LocalDatasetTest testMethod=test_load_dataset_all_configs_freebase_qa>\r\ndataset_name = 'freebase_qa'\r\n\r\n @slow\r\n def test_load_dataset_all_configs(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True)\r\n\r\ntests/test_dataset_common.py:237:\r\n_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _\r\ntests/test_dataset_common.py:198: in check_load_dataset\r\n self.parent.assertTrue(len(dataset[split]) > 0)\r\nE AssertionError: False is not true\r\n```\r\n\r\nNote 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.\r\n",
"The dummy json files must follow the exact same structure as the original json files.\r\n\r\nHowever it looks like the dummy json files you have in your dummy_data.zip file are not structured the same way.\r\nFor example the original json is a dict with a field \"Questions\" that is a list of items.\r\nHowever your dummy json is simply a list of items.\r\n\r\nCan you update your dummy json files to follow the same structure ?",
"And I'm pretty sure that this structure is supported by the dummy data auto-generation tool\r\n```\r\npython datasets-cli dummy_data ./datasets/freebase_qa --json_field \"Questions\"\r\n```",
"Hi @anaerobeth did you manage to get the dummy data right ?\r\n\r\nFeel free to ping me if you have questions or when you're ready for a review",
"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.",
"Also don't forget to run `make style` to fix the code formatting check in the CI :)",
"Hi @anaerobeth ! Have you had a chance to consider updating the dataset script to yield one example per question ?\r\n\r\nFeel free to ping me if you have questions or if I can help :) ",
"Hi @lhoestq,\r\n\r\nI am willing to take this forward if you and @anaerobeth don't mind.\r\n",
"Hi @gchhablani thanks for proposing your help :) \r\nSure if you want to take this forward feel free to do so.\r\nAlso pinging @anaerobeth to make sure that you both don't work on the same thing at the same time",
"Hi ! Closing this one since the dataset was added in #1814 \r\n\r\nThanks you two @anaerobeth and @gchhablani for adding this dataset !"
] | 2020-12-10T04:03:27Z | 2021-02-05T09:47:30Z | 2021-02-05T09:47:30Z | CONTRIBUTOR | null | null | false | {
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} | 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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"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. \r\n\r\nFor 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!"
] | 2020-12-10T02:15:02Z | 2020-12-17T09:59:54Z | 2020-12-17T09:59:54Z | CONTRIBUTOR | null | null | false | {
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"@lhoestq Thanks a lot for checking! I hope I addressed all your comments. ",
"merging since the CI is fixed on master"
] | 2020-12-10T01:44:47Z | 2020-12-14T13:51:05Z | 2020-12-14T13:51:04Z | CONTRIBUTOR | null | null | false | {
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} | This is my first dataset to be added to HF. | {
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"merging since the CI is fixed on master"
] | 2020-12-10T00:59:34Z | 2020-12-11T15:01:23Z | 2020-12-11T15:01:23Z | CONTRIBUTOR | null | null | false | {
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} | Adding ArCOV-19 dataset. ArCOV-19 is an Arabic COVID-19 Twitter dataset that covers the period from 27th of January till 30th of April 2020. ArCOV-19 is the first publicly-available Arabic Twitter dataset covering COVID-19 pandemic that includes over 1M tweets alongside the propagation networks of the most-popular subset of them (i.e., most-retweeted and-liked). The propagation networks include both retweets and conversational threads (i.e., threads of replies). ArCOV-19 is designed to enable research under several domains including natural language processing, information retrieval, and social computing, among others. | {
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https://api.github.com/repos/huggingface/datasets/issues/1430 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1430/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1430/comments | https://api.github.com/repos/huggingface/datasets/issues/1430/events | https://github.com/huggingface/datasets/pull/1430 | 760,779,666 | MDExOlB1bGxSZXF1ZXN0NTM1NTU0Njg0 | 1,430 | Add 1.5 billion words Arabic corpus | {
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"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 ?\r\n\r\ncc: I tested the data locally and it works, maybe the dummy tests doesn't support `rar` ? ",
"In the dummy_data.zip files you must include the rar file as if is was already extracted.\r\nIn particular here `Youm7_XML_utf_8.rar` is a directory (not an archive).",
"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 ?\r\n\r\nI have rarfile 4.0",
"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. \r\n",
"I'm ok with renaming the dataset `arabic_billion_words` if you want.\r\nNote that you will need to rename class name `ArabicBillionWords` instead of `BillionWords`\r\n(though `BillionWords` was not matching `1bn_words_arabic` anyway)\r\n\r\nYou will need to regenerate the dataset_infos.json file after this change.\r\nOR alternatively just replace all mentions of `billion_words` with `arabic_billion_words` in dataset_infos.json <- this trick should save you some time :)",
"Hmmm I'm still not able to run it on my side because of the rar error (I'm running macos)\r\nI just tried with rarfile 3.1 and it didn't work either.\r\nI 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",
"No worries, I will investigate it as well. ",
"I created a minimal example in [colab ](https://colab.research.google.com/drive/11ijesuGbrQylANka0VdsZ5vXwIuxkheY?usp=sharing).",
"Nice thanks, maybe it's just an issue on my side then",
"Ok I managed to solve the BadRarFile issue on my side :) \r\nTo 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)."
] | 2020-12-10T00:32:18Z | 2020-12-22T10:03:59Z | 2020-12-22T10:03:59Z | CONTRIBUTOR | null | null | false | {
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} | Unfortunately, I didn't find any native python libraries for extracting rar files. The user has to manually install `sudo apt-get install unrar`. Discussion with @yjernite is in the slack channel. | {
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"merging since the CI is fixed on master"
] | 2020-12-09T22:59:17Z | 2020-12-11T17:39:23Z | 2020-12-11T17:39:23Z | CONTRIBUTOR | null | null | false | {
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"good dataset card as well :) ",
"@lhoestq Thank you :) "
] | 2020-12-09T22:57:41Z | 2020-12-11T13:37:08Z | 2020-12-11T13:37:08Z | CONTRIBUTOR | null | null | false | {
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"Hi @Phil1108 !\r\nHave you had a chance to take a look at my suggestions ?\r\nFeel free to ping me if you have questions or if you're ready for a review\r\n\r\nThanks again for adding this dataset, this one is very useful !",
"> \r\n> \r\n> Hi @Phil1108 !\r\n> Have you had a chance to take a look at my suggestions ?\r\n> Feel free to ping me if you have questions or if you're ready for a review\r\n> \r\n> Thanks again for adding this dataset, this one is very useful !\r\n\r\nHello @lhoestq , \r\n\r\nokay so should we go on with only the 2 parts or wait until the hosting of all 200 GB is cleared at HF? \r\nIf 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",
"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.\r\nIn 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.\r\n\r\nA safer alternative to eval is `ast.literal_eval`, it should do the job",
"Thanks for your contribution, @Phil1108. Are you still interested in adding this dataset?\r\n\r\nWe are removing the dataset scripts from this GitHub repo and moving them to the Hugging Face Hub: https://huggingface.co/datasets\r\n\r\nWe would suggest you create this dataset there. Please, feel free to tell us if you need some help."
] | 2020-12-09T22:54:12Z | 2022-10-03T09:39:02Z | 2022-10-03T09:39:02Z | NONE | null | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/1424 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1424/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1424/comments | https://api.github.com/repos/huggingface/datasets/issues/1424/events | https://github.com/huggingface/datasets/pull/1424 | 760,724,914 | MDExOlB1bGxSZXF1ZXN0NTM1NTA4MjY5 | 1,424 | Add yoruba wordsim353 | {
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https://api.github.com/repos/huggingface/datasets/issues/1423 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1423/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1423/comments | https://api.github.com/repos/huggingface/datasets/issues/1423/events | https://github.com/huggingface/datasets/pull/1423 | 760,712,421 | MDExOlB1bGxSZXF1ZXN0NTM1NDk3OTk5 | 1,423 | Imppres | {
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"Feel free to ping me once you're ready for another review :) ",
"For sure! Gonna work on this now!",
"I incorporated all the changes but when I go to rebase I get the following error:\r\n```python\r\naclifton@pop-os:~/hf_datasets_sprint/datasets$ git rebase upstream/master\r\nerror: cannot rebase: You have unstaged changes.\r\nerror: Please commit or stash them.\r\naclifton@pop-os:~/hf_datasets_sprint/datasets$ git stash\r\nSaved working directory and index state WIP on imppres: 51736236 Incorporated secondary sets as configurations instead of splits.\r\naclifton@pop-os:~/hf_datasets_sprint/datasets$ git rebase upstream/master\r\nCONFLICT (add/add): Merge conflict in datasets/wiki_movies/wiki_movies.py\r\nAuto-merging datasets/wiki_movies/wiki_movies.py\r\nCONFLICT (add/add): Merge conflict in datasets/wiki_movies/dataset_infos.json\r\nAuto-merging datasets/wiki_movies/dataset_infos.json\r\nCONFLICT (add/add): Merge conflict in datasets/wiki_movies/README.md\r\nAuto-merging datasets/wiki_movies/README.md\r\nerror: could not apply 04d08587... Created wiki_movies dataset.\r\nResolve all conflicts manually, mark them as resolved with\r\n\"git add/rm <conflicted_files>\", then run \"git rebase --continue\".\r\nYou can instead skip this commit: run \"git rebase --skip\".\r\nTo abort and get back to the state before \"git rebase\", run \"git rebase --abort\".\r\nCould not apply 04d08587... Created wiki_movies dataset.\r\naclifton@pop-os:~/hf_datasets_sprint/datasets$ git branch\r\n* (no branch, rebasing imppres)\r\n imppres\r\n logiqa_en\r\n master\r\n wiki_movies\r\n wiki_movies_htl\r\naclifton@pop-os:~/hf_datasets_sprint/datasets$ git checkout imppres \r\ndatasets/wiki_movies/README.md: needs merge\r\ndatasets/wiki_movies/dataset_infos.json: needs merge\r\ndatasets/wiki_movies/wiki_movies.py: needs merge\r\nerror: you need to resolve your current index first\r\naclifton@pop-os:~/hf_datasets_sprint/datasets$ \r\n```",
"I think it's because the current branch includes changes about wiki_movies.\r\n\r\nCan you create a new branch from `master` and create another PR please ?",
"I get this response when I try to switch to master:\r\n```\r\naclifton@pop-os:~/hf_datasets_sprint/datasets$ git checkout master\r\ndatasets/wiki_movies/README.md: needs merge\r\ndatasets/wiki_movies/dataset_infos.json: needs merge\r\ndatasets/wiki_movies/wiki_movies.py: needs merge\r\nerror: you need to resolve your current index first\r\n```",
"Maybe you have to remove the changes in wiki_movies before checkout to master\r\n```\r\ngit stash\r\n```\r\n\r\nshould do the job",
"Here is what I get:\r\n```\r\naclifton@pop-os:~/hf_datasets_sprint/datasets$ git stash\r\ndatasets/wiki_movies/README.md: needs merge\r\ndatasets/wiki_movies/dataset_infos.json: needs merge\r\ndatasets/wiki_movies/wiki_movies.py: needs merge\r\n```",
"Ok I see\r\nLooks like you're in a `merge` process.\r\nYou can abort it with `git reset --merge`\r\n\r\nThen `git checkout master` should work",
"So close! I got the new branch made and went through all the tests. When I went to push, I got the following:\r\n```\r\naclifton@pop-os:~/hf_datasets_sprint/datasets$ git push -u origin imppres\r\nUsername for 'https://github.com': aclifton314\r\nPassword for 'https://aclifton314@github.com': \r\nTo https://github.com/aclifton314/datasets\r\n ! [rejected] imppres -> imppres (non-fast-forward)\r\nerror: failed to push some refs to 'https://github.com/aclifton314/datasets'\r\nhint: Updates were rejected because the tip of your current branch is behind\r\nhint: its remote counterpart. Integrate the remote changes (e.g.\r\nhint: 'git pull ...') before pushing again.\r\nhint: See the 'Note about fast-forwards' in 'git push --help' for details.\r\n```",
"after a rebase you need to `git push --force`",
"Done!"
] | 2020-12-09T22:14:12Z | 2020-12-17T18:27:14Z | 2020-12-17T18:27:14Z | CONTRIBUTOR | null | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/1422 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1422/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1422/comments | https://api.github.com/repos/huggingface/datasets/issues/1422/events | https://github.com/huggingface/datasets/issues/1422 | 760,707,113 | MDU6SXNzdWU3NjA3MDcxMTM= | 1,422 | Can't map dataset (loaded from csv) | {
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"Please could you post the whole script? I can't reproduce your issue. After updating the feature names/labels to match with the data, everything works fine for me. Try to update datasets/transformers to the newest version.",
"Actually, the problem was how `tokenize` function was defined. This was completely my side mistake, so there are really no needs in this issue anymore"
] | 2020-12-09T22:05:42Z | 2020-12-17T18:13:40Z | 2020-12-17T18:13:40Z | NONE | null | null | null | null | Hello! I am trying to load single csv file with two columns: ('label': str, 'text' str), where is label is str of two possible classes.
Below steps are similar with [this notebook](https://colab.research.google.com/drive/1-JIJlao4dI-Ilww_NnTc0rxtp-ymgDgM?usp=sharing), where bert model and tokenizer are used to classify lmdb loaded dataset. Only one difference it is the dataset loaded from .csv file.
Here is how I load it:
```python
data_path = 'data.csv'
data = pd.read_csv(data_path)
# process class name to indices
classes = ['neg', 'pos']
class_to_idx = { cl: i for i, cl in enumerate(classes) }
# now data is like {'label': int, 'text' str}
data['label'] = data['label'].apply(lambda x: class_to_idx[x])
# load dataset and map it with defined `tokenize` function
features = Features({
target: ClassLabel(num_classes=2, names=['neg', 'pos'], names_file=None, id=None),
feature: Value(dtype='string', id=None),
})
dataset = Dataset.from_pandas(data, features=features)
dataset.map(tokenize, batched=True, batch_size=len(dataset))
```
It ruins on the last line with following error:
```
---------------------------------------------------------------------------
AssertionError Traceback (most recent call last)
<ipython-input-112-32b6275ce418> in <module>()
9 })
10 dataset = Dataset.from_pandas(data, features=features)
---> 11 dataset.map(tokenizer, batched=True, batch_size=len(dataset))
2 frames
/usr/local/lib/python3.6/dist-packages/datasets/arrow_dataset.py in map(self, function, with_indices, input_columns, batched, batch_size, drop_last_batch, remove_columns, keep_in_memory, load_from_cache_file, cache_file_name, writer_batch_size, features, disable_nullable, fn_kwargs, num_proc, suffix_template, new_fingerprint)
1237 test_inputs = self[:2] if batched else self[0]
1238 test_indices = [0, 1] if batched else 0
-> 1239 update_data = does_function_return_dict(test_inputs, test_indices)
1240 logger.info("Testing finished, running the mapping function on the dataset")
1241
/usr/local/lib/python3.6/dist-packages/datasets/arrow_dataset.py in does_function_return_dict(inputs, indices)
1208 fn_args = [inputs] if input_columns is None else [inputs[col] for col in input_columns]
1209 processed_inputs = (
-> 1210 function(*fn_args, indices, **fn_kwargs) if with_indices else function(*fn_args, **fn_kwargs)
1211 )
1212 does_return_dict = isinstance(processed_inputs, Mapping)
/usr/local/lib/python3.6/dist-packages/transformers/tokenization_utils_base.py in __call__(self, text, text_pair, add_special_tokens, padding, truncation, max_length, stride, is_split_into_words, pad_to_multiple_of, return_tensors, return_token_type_ids, return_attention_mask, return_overflowing_tokens, return_special_tokens_mask, return_offsets_mapping, return_length, verbose, **kwargs)
2281 )
2282 ), (
-> 2283 "text input must of type `str` (single example), `List[str]` (batch or single pretokenized example) "
2284 "or `List[List[str]]` (batch of pretokenized examples)."
2285 )
AssertionError: text input must of type `str` (single example), `List[str]` (batch or single pretokenized example) or `List[List[str]]` (batch of pretokenized examples).
```
which I think is not expected. I also tried the same steps using `Dataset.from_csv` which resulted in the same error.
For reproducing this, I used [this dataset from kaggle](https://www.kaggle.com/team-ai/spam-text-message-classification) | {
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"merging since the CI is fixed on master"
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"@lhoestq, can you please review this PR?\r\n",
"@SBrandeis,\r\nSorry. All of the latest version came to my branch. You can find final version. \r\nResubmitted as a clean final version of #1466\r\nI have completed all the review comments.",
"Closing this as PR is now https://github.com/huggingface/datasets/pull/1466"
] | 2020-12-09T21:08:33Z | 2020-12-11T14:02:31Z | 2020-12-11T14:02:31Z | CONTRIBUTOR | null | null | false | {
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} | 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.
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"merging since the CI is fixed on master"
] | 2020-12-09T21:06:07Z | 2020-12-17T09:40:56Z | 2020-12-17T09:40:56Z | CONTRIBUTOR | null | null | false | {
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Fixed git issues from PR #976 | {
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} | Add Shrinked Turkish NER from [Kaggle](https://www.kaggle.com/behcetsenturk/shrinked-twnertc-turkish-ner-data-by-kuzgunlar). | {
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"@lhoestq done! The failing testes don't seem to be related, it seems to be a connection issue, if I understand it correctly.",
"@lhoestq done!",
"merging since the CI is fixed on master"
] | 2020-12-09T20:22:12Z | 2020-12-14T18:06:44Z | 2020-12-14T16:25:31Z | CONTRIBUTOR | null | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/1413 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1413/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1413/comments | https://api.github.com/repos/huggingface/datasets/issues/1413/events | https://github.com/huggingface/datasets/pull/1413 | 760,615,090 | MDExOlB1bGxSZXF1ZXN0NTM1NDE4MDY2 | 1,413 | Add OffComBR | {
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"Hello @hugoabonizio, thanks for the contribution.\r\nRegarding the fake data, you can generate it manually.\r\nRunning the `python datasets-cli dummy_data datasets/offcombr` should give you instructions on how to manually create the dummy data.\r\nFor reference, here is a spec for `.arff` files : https://www.cs.waikato.ac.nz/ml/weka/arff.html",
"@lhoestq again the failing tests doesn't seem to be related",
"merging since the CI is fixed on master"
] | 2020-12-09T19:38:08Z | 2020-12-14T18:06:45Z | 2020-12-14T16:51:10Z | CONTRIBUTOR | null | null | false | {
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} | Add [OffComBR](https://github.com/rogersdepelle/OffComBR) from [Offensive Comments in the Brazilian Web: a dataset and baseline results](https://sol.sbc.org.br/index.php/brasnam/article/view/3260/3222) paper.
But I'm having a hard time generating dummy data since the original dataset extion is `.arff` and the [_create_dummy_data function](https://github.com/huggingface/datasets/blob/a4aeaf911240057286a01bff1b1d75a89aedd57b/src/datasets/commands/dummy_data.py#L185) doesn't allow it. | {
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"@yjernite I have updated the PR to be language modeling task specific. Please review!\r\n",
"Yes a line corresponds to a sentence in this data."
] | 2020-12-09T19:11:33Z | 2020-12-16T09:38:23Z | 2020-12-16T09:38:23Z | CONTRIBUTOR | null | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/1409 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1409/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1409/comments | https://api.github.com/repos/huggingface/datasets/issues/1409/events | https://github.com/huggingface/datasets/pull/1409 | 760,593,932 | MDExOlB1bGxSZXF1ZXN0NTM1Mzk5OTI1 | 1,409 | Adding the ASSIN dataset | {
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"I wrongly commited data from another branch in this PR, I'll close this a reopen another PR with the fixed branch"
] | 2020-12-09T19:07:00Z | 2020-12-09T19:18:12Z | 2020-12-09T19:15:52Z | CONTRIBUTOR | null | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/1408 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1408/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1408/comments | https://api.github.com/repos/huggingface/datasets/issues/1408/events | https://github.com/huggingface/datasets/pull/1408 | 760,590,589 | MDExOlB1bGxSZXF1ZXN0NTM1Mzk3MTAw | 1,408 | adding fake-news-english | {
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"also don't forget to format your code using `make style` to fix the CI"
] | 2020-12-09T19:02:07Z | 2020-12-13T00:49:19Z | 2020-12-13T00:49:19Z | CONTRIBUTOR | null | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/1407 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1407/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1407/comments | https://api.github.com/repos/huggingface/datasets/issues/1407/events | https://github.com/huggingface/datasets/pull/1407 | 760,581,756 | MDExOlB1bGxSZXF1ZXN0NTM1Mzg5ODQx | 1,407 | Add Tweet Eval Dataset | {
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"Hi @lhoestq,\r\n\r\nSeeing that it has been almost two months to this draft, I'm willing to take this forward if you and @abhishekkrthakur don't mind. :)",
"Hi @gchhablani !\r\nSure if @abhishekkrthakur doesn't mind\r\nThanks for your help :)",
"Please feel free :) ",
"Hi @lhoestq, @abhishekkrthakur \r\n\r\nI believe this can be closed. Merged in #1829."
] | 2020-12-09T18:48:57Z | 2023-09-24T09:52:03Z | 2021-02-26T08:54:04Z | CONTRIBUTOR | null | null | true | {
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https://api.github.com/repos/huggingface/datasets/issues/1406 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1406/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1406/comments | https://api.github.com/repos/huggingface/datasets/issues/1406/events | https://github.com/huggingface/datasets/pull/1406 | 760,581,330 | MDExOlB1bGxSZXF1ZXN0NTM1Mzg5NDk5 | 1,406 | Add Portuguese Hate Speech dataset | {
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"@lhoestq done! (The failing tests don't seem to be related)",
"merging since the CI is fixed on master"
] | 2020-12-09T18:48:16Z | 2020-12-14T18:06:42Z | 2020-12-14T16:22:20Z | CONTRIBUTOR | null | null | false | {
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} | Binary Portuguese Hate Speech dataset from [this paper](https://www.aclweb.org/anthology/W19-3510/). | {
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https://api.github.com/repos/huggingface/datasets/issues/1405 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1405/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1405/comments | https://api.github.com/repos/huggingface/datasets/issues/1405/events | https://github.com/huggingface/datasets/pull/1405 | 760,578,035 | MDExOlB1bGxSZXF1ZXN0NTM1Mzg2ODA1 | 1,405 | Adding TaPaCo Dataset with README.md | {
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"We want to keep the repo as light as possible so that it doesn't take ages to clone, that's why we ask for small dummy data files (especially when there are many of them). Let me know if you have questions or if we can help you on this",
"Hello @lhoestq , made the changes as you suggested and pushed, please review. By default, the dummy data was generated the way it was by the dummy data auto generate command. Thank you."
] | 2020-12-09T18:42:58Z | 2020-12-13T19:11:18Z | 2020-12-13T19:11:18Z | CONTRIBUTOR | null | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/1404 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1404/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1404/comments | https://api.github.com/repos/huggingface/datasets/issues/1404/events | https://github.com/huggingface/datasets/pull/1404 | 760,575,473 | MDExOlB1bGxSZXF1ZXN0NTM1Mzg0NzEz | 1,404 | Add Acronym Identification Dataset | {
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"fixed @lhoestq "
] | 2020-12-09T18:38:54Z | 2020-12-14T13:12:01Z | 2020-12-14T13:12:00Z | CONTRIBUTOR | null | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/1403 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1403/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1403/comments | https://api.github.com/repos/huggingface/datasets/issues/1403/events | https://github.com/huggingface/datasets/pull/1403 | 760,571,419 | MDExOlB1bGxSZXF1ZXN0NTM1MzgxMzQ3 | 1,403 | Add dataset clickbait_news_bg | {
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"Closing this pull request, will submit a new one for this dataset."
] | 2020-12-09T18:32:12Z | 2020-12-10T09:16:44Z | 2020-12-10T09:16:43Z | CONTRIBUTOR | null | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/1402 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1402/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1402/comments | https://api.github.com/repos/huggingface/datasets/issues/1402/events | https://github.com/huggingface/datasets/pull/1402 | 760,538,325 | MDExOlB1bGxSZXF1ZXN0NTM1MzUzMzE0 | 1,402 | adding covid-tweets-japanese (again) | {
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"README.md is not created yet. I'll add it soon.",
"Thank you for your detailed code review! It's so helpful.\r\nI'll reflect them to the code in 24 hours.\r\n\r\nYou may have told me in Slack (I cannot find the conversation log though I've looked through threads), but I'm sorry it seems I'm still misunderstanding how to get YAML from the tagger.\r\nI'm now asking on Slack if I am looking at the tagger the wrong way.",
"One more thing I'd like to ask.\r\nShould I make changes by myself, or can I use the \"Commit suggestion\" feature?\r\nI'm new to this feature and I don't know how the rules work in this repository, so I'd like to ask just in case.",
"Thank you very much for merging!"
] | 2020-12-09T17:46:46Z | 2020-12-13T17:54:14Z | 2020-12-13T17:47:36Z | CONTRIBUTOR | null | null | false | {
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} | I had mistaken use git rebase, I was so hurried to fix it. However, I didn't fully consider the use of git reset , so I unintendedly stopped PR (#1367) altogether. Sorry about that.
I'll make a new PR. | {
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https://api.github.com/repos/huggingface/datasets/issues/1401 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1401/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1401/comments | https://api.github.com/repos/huggingface/datasets/issues/1401/events | https://github.com/huggingface/datasets/pull/1401 | 760,525,949 | MDExOlB1bGxSZXF1ZXN0NTM1MzQyOTY2 | 1,401 | Add reasoning_bg | {
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"Hi @saradhix have you had the chance to reduce the size of the dummy data ?\r\n\r\nFeel free to ping me when it's done so we can merge :) ",
"@lhoestq I have reduced the size of the dummy data manually and pushed the changes.",
"The CI errors are not related to your dataset.\r\nThey're fixed on master, you can ignore them",
"merging since the CI is fixed on master"
] | 2020-12-09T17:30:49Z | 2020-12-17T16:50:43Z | 2020-12-17T16:50:42Z | CONTRIBUTOR | null | null | false | {
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https://api.github.com/repos/huggingface/datasets/issues/1400 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1400/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1400/comments | https://api.github.com/repos/huggingface/datasets/issues/1400/events | https://github.com/huggingface/datasets/pull/1400 | 760,514,215 | MDExOlB1bGxSZXF1ZXN0NTM1MzMzMDYz | 1,400 | Add European Union Education and Culture Translation Memory (EAC-TM) dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/1399 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1399/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1399/comments | https://api.github.com/repos/huggingface/datasets/issues/1399/events | https://github.com/huggingface/datasets/pull/1399 | 760,499,576 | MDExOlB1bGxSZXF1ZXN0NTM1MzIwNzA2 | 1,399 | Add HoVer Dataset | {
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"@lhoestq all comments addressed :) ",
"merging since the CI is fixed on master"
] | 2020-12-09T16:55:39Z | 2020-12-14T10:57:23Z | 2020-12-14T10:57:22Z | CONTRIBUTOR | null | null | false | {
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} | HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification
https://arxiv.org/abs/2011.03088 | {
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"@lhoestq Refactored into new branch, please review :) ",
"The `RemoteDatasetTest ` errors in the CI are fixed on master so it's fine",
"merging since the CI is fixed on master"
] | 2020-12-09T16:52:16Z | 2020-12-09T18:02:27Z | 2020-12-09T18:02:27Z | CONTRIBUTOR | null | null | false | {
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"Subsequent [PR #1426 ](https://github.com/huggingface/datasets/pull/1426) since this PR has uploaded other files along with the MultiReQA dataset.",
"closing this one since a new PR has been created"
] | 2020-12-09T16:00:35Z | 2020-12-10T18:20:12Z | 2020-12-10T18:20:11Z | CONTRIBUTOR | null | null | false | {
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"@lhoestq fixed :) "
] | 2020-12-09T15:52:06Z | 2020-12-14T10:24:14Z | 2020-12-14T10:24:13Z | CONTRIBUTOR | null | null | false | {
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"@lhoestq fixed :) "
] | 2020-12-09T15:37:45Z | 2020-12-14T10:23:30Z | 2020-12-14T10:23:29Z | CONTRIBUTOR | null | null | false | {
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"@lhoestq fixed :) "
] | 2020-12-09T15:32:58Z | 2020-12-14T10:22:33Z | 2020-12-14T10:22:32Z | CONTRIBUTOR | null | null | false | {
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"`amazon_polarity` is probably a subset of `amazon_us_reviews` but I am not entirely sure about that.\r\nI guess `amazon_polarity` will help in reproducing results of papers using this dataset since even if it is a subset from `amazon_us_reviews`, it is not trivial how to extract `amazon_polarity` from `amazon_us_reviews`, especially since `amazon_us_reviews` was released after `amazon_polarity`. ",
"do you know what the problem would be ? should I pull the master before ? @lhoestq ",
"The error just appeared on master. I will try to fix it today.\r\nYou can ignore them since it's not related to the dataset you added",
"merging since the CI is fixed on master",
"Great thanks for the help. "
] | 2020-12-09T14:58:21Z | 2020-12-11T11:45:39Z | 2020-12-11T11:41:01Z | CONTRIBUTOR | null | null | false | {
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"@lhoestq done! The failing testes don't seem to be related, it seems to be a connection issue, if I understand it correctly.",
"merging since the CI is fixed on master"
] | 2020-12-09T14:16:55Z | 2020-12-14T18:06:43Z | 2020-12-14T16:23:59Z | CONTRIBUTOR | null | null | false | {
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} | Add LIAR dataset from [“Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection](https://www.aclweb.org/anthology/P17-2067/). | {
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"@lhoestq yes. I asked the authors for direct link but unfortunately we need to fill a form (captcha)"
] | 2020-12-09T14:13:19Z | 2020-12-10T16:58:22Z | 2020-12-10T16:58:21Z | CONTRIBUTOR | null | null | false | {
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} | [] | closed | false | null | [] | null | [] | 2020-12-09T13:56:09Z | 2020-12-14T10:59:08Z | 2020-12-14T10:59:08Z | CONTRIBUTOR | null | null | false | {
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} | `best2009` is a Thai word-tokenization dataset from encyclopedia, novels, news and articles by [NECTEC](https://www.nectec.or.th/) (148,995/2,252 lines of train/test). It was created for [BEST 2010: Word Tokenization Competition](https://thailang.nectec.or.th/archive/indexa290.html?q=node/10). The test set answers are not provided publicly. | {
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"@lhoestq Thank you for the suggestions. I added the changes to the branch and seems after rebasing it to master, all the commits previous commits got added. Should I create a new PR or should I keep this one only ? ",
"closing this one in favor of #1527 "
] | 2020-12-09T13:30:12Z | 2020-12-13T18:54:42Z | 2020-12-13T18:54:41Z | CONTRIBUTOR | null | null | false | {
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} | Dataset : https://github.com/DeepPavlov/convai/tree/master/2018 | {
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"merging since the CI just had a connection error"
] | 2020-12-09T13:21:41Z | 2020-12-09T17:53:06Z | 2020-12-09T17:53:06Z | CONTRIBUTOR | null | null | false | {
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"looks like this PR includes changes about other datasets\r\n\r\nCan you only include the changes related to twi text c3 please ?",
"Hi @lhoestq , I have removed the unnecessary files. Can you please confirm?",
"You might need to either find a way to go back to the commit before it changes 389 files or create a new branch.",
"okay, I have created another branch, see the latest pull https://github.com/huggingface/datasets/pull/1518 @cstorm125 ",
"Hii please follow me",
"Closing this one in favor of #1518"
] | 2020-12-09T13:16:38Z | 2020-12-13T18:39:27Z | 2020-12-13T18:39:27Z | CONTRIBUTOR | null | null | false | {
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"looks like this PR includes changes about other datasets\r\n",
"Thanks for the review. I'm a bit confused how to remove the files. Every time I add a new branch name using the following commands:\r\n\r\ngit fetch upstream\r\ngit rebase upstream/master\r\ngit checkout -b a-descriptive-name-for-my-changes\r\n\r\nand push to the origin, this issue occurs",
"Can you try to create the branch from the master branch of your fork ?\r\n\r\nfirst update your master branch:\r\n```\r\ngit checkout master\r\ngit fetch upstream\r\ngit rebase upstream/master\r\ngit push\r\n```\r\n\r\nthen create a new one:\r\n```\r\ngit checkout -b my-new-branch\r\n```",
"I think you were still having the files because you were creating the new branch from a branch in which you've committed the files, instead of creating the new branch from the master branch",
"Got it, will correct that. Thanks",
"@lhoestq , I have removed the unnecessary files. Looks like I still have one error. How do I resolve this?",
"> @lhoestq , I have removed the unnecessary files. Looks like I still have one error. How do I resolve this?\r\n\r\nI think it's connection error on piqa dataset. Can you try triggering the test again? I usually resolve similar issues with:\r\n```\r\ngit fetch upstream\r\ngit rebase upstream/master\r\ngit push -u -f origin your_branch_name\r\n```",
"thank you @cstorm125 ",
"I have created another pull request for this https://github.com/huggingface/datasets/pull/1515 @cstorm125 @lhoestq ",
"Hii please follow me",
"merging since the CI is fixed on master",
"Great, thanks a lot"
] | 2020-12-09T13:16:03Z | 2020-12-13T18:45:12Z | 2020-12-13T18:37:33Z | CONTRIBUTOR | null | null | false | {
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"@lhoestq done!",
"merging since the CI is fixed on master"
] | 2020-12-09T13:06:22Z | 2020-12-17T12:38:45Z | 2020-12-15T15:34:11Z | CONTRIBUTOR | null | null | false | {
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} | This PR adds [FACTCK.BR](https://github.com/jghm-f/FACTCK.BR) dataset from [FACTCK.BR: a new dataset to study fake news](https://dl.acm.org/doi/10.1145/3323503.3361698). | {
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"Can you make it a draft PR until you've added the dataset please ? @ekdnam ",
"Done",
"Thanks for your contribution, @ekdnam. Are you still interested in adding this dataset?\r\n\r\nWe are removing the dataset scripts from this GitHub repo and moving them to the Hugging Face Hub: https://huggingface.co/datasets\r\n\r\nWe would suggest you create this dataset there. Please, feel free to tell us if you need some help."
] | 2020-12-09T13:01:20Z | 2022-10-03T09:39:09Z | 2022-10-03T09:39:09Z | NONE | null | null | true | {
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