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https://api.github.com/repos/huggingface/datasets/issues/1543 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1543/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1543/comments | https://api.github.com/repos/huggingface/datasets/issues/1543/events | https://github.com/huggingface/datasets/pull/1543 | 765,476,196 | MDExOlB1bGxSZXF1ZXN0NTM4OTcwOTU5 | 1,543 | adding HindEncorp | {
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"@lhoestq I have created a new PR by reforking and creating a new branch ",
"@rahul-art unfortunately this didn't quite work, here's how you can try again:\r\n- `git checkout master` to go back to the main branch\r\n- `git pull upstream master` to make it up to date\r\n- `git checkout -b add_hind_encorp` to creat... |
https://api.github.com/repos/huggingface/datasets/issues/1542 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1542/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1542/comments | https://api.github.com/repos/huggingface/datasets/issues/1542/events | https://github.com/huggingface/datasets/pull/1542 | 765,439,746 | MDExOlB1bGxSZXF1ZXN0NTM4OTYyMjAx | 1,542 | fix typo readme | {
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} | [] | closed | false | null | [] | null | 2 | 2020-12-13T14:27:00Z | 2022-10-05T12:33:29Z | 2022-10-05T12:33:29Z | NONE | null | null | null | Hi
I am running my codes on google cloud, and I am getting this error resulting in the failure of the codes when trying to download the data, could you assist me to solve this? also as a temporary solution, could you tell me how I can increase the number of retries and timeout to at least let the models run for now. thanks
```
Traceback (most recent call last):
File "finetune_t5_trainer.py", line 361, in <module>
main()
File "finetune_t5_trainer.py", line 269, in main
add_prefix=False if training_args.train_adapters else True)
File "/workdir/seq2seq/data/tasks.py", line 70, in get_dataset
dataset = self.load_dataset(split=split)
File "/workdir/seq2seq/data/tasks.py", line 306, in load_dataset
return datasets.load_dataset('glue', 'cola', split=split)
File "/usr/local/lib/python3.6/dist-packages/datasets/load.py", line 589, in load_dataset
path, script_version=script_version, download_config=download_config, download_mode=download_mode, dataset=True
File "/usr/local/lib/python3.6/dist-packages/datasets/load.py", line 263, in prepare_module
head_hf_s3(path, filename=name, dataset=dataset)
File "/usr/local/lib/python3.6/dist-packages/datasets/utils/file_utils.py", line 200, in head_hf_s3
return http_head(hf_bucket_url(identifier=identifier, filename=filename, use_cdn=use_cdn, dataset=dataset))
File "/usr/local/lib/python3.6/dist-packages/datasets/utils/file_utils.py", line 403, in http_head
url, proxies=proxies, headers=headers, cookies=cookies, allow_redirects=allow_redirects, timeout=timeout
File "/usr/local/lib/python3.6/dist-packages/requests/api.py", line 104, in head
return request('head', url, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/requests/api.py", line 61, in request
return session.request(method=method, url=url, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/requests/sessions.py", line 542, in request
resp = self.send(prep, **send_kwargs)
File "/usr/local/lib/python3.6/dist-packages/requests/sessions.py", line 655, in send
r = adapter.send(request, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/requests/adapters.py", line 504, in send
raise ConnectTimeout(e, request=request)
requests.exceptions.ConnectTimeout: HTTPSConnectionPool(host='s3.amazonaws.com', port=443): Max retries exceeded with url: /datasets.huggingface.co/datasets/datasets/glue/glue.py (Caused by ConnectTimeoutError(<urllib3.connection.HTTPSConnection object at 0x7f47db511e80>, 'Connection to s3.amazonaws.com timed out. (connect timeout=10)'))
``` | {
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"could you tell me how I can avoid download, by pre-downloading the data first, put them in a folder so the code does not try to redownload? could you tell me the path to put the downloaded data, and how to do it? thanks\r\n@lhoestq ",
"Does your instance have an internet connection ?\r\n\r\nIf you don't have an ... |
https://api.github.com/repos/huggingface/datasets/issues/1540 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1540/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1540/comments | https://api.github.com/repos/huggingface/datasets/issues/1540/events | https://github.com/huggingface/datasets/pull/1540 | 765,357,702 | MDExOlB1bGxSZXF1ZXN0NTM4OTQ1NDc2 | 1,540 | added TTC4900: A Benchmark Data for Turkish Text Categorization dataset | {
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} | This PR adds the TTC4900 dataset which is a Turkish Text Categorization dataset by me and @basakbuluz.
Homepage: [https://www.kaggle.com/savasy/ttc4900](https://www.kaggle.com/savasy/ttc4900)
Point of Contact: [Savaş Yıldırım](mailto:savasy@gmail.com) / @savasy
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"@lhoestq, can you help with creating dummy_data?\r\n",
"Hi @yavuzKomecoglu did you manage to build the dummy data ?",
"> Hi @yavuzKomecoglu did you manage to build the dummy data ?\r\n\r\nHi, sorry for the return. I've created dummy_data.zip manually.",
"> Nice thank you !\r\n> \r\n> Before we merge can you ... |
https://api.github.com/repos/huggingface/datasets/issues/1539 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1539/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1539/comments | https://api.github.com/repos/huggingface/datasets/issues/1539/events | https://github.com/huggingface/datasets/pull/1539 | 765,338,910 | MDExOlB1bGxSZXF1ZXN0NTM4OTQyMTU4 | 1,539 | Added Wiki Asp dataset | {
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} | Hello,
I have added Wiki Asp dataset. Please review the PR. | {
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"> Awesome thank you !\r\n> \r\n> I just left one comment.\r\n> \r\n> Also it looks like the dummy_data.zip files are quite big (around 500KB each)\r\n> Can you try to reduce their sizes please ? Ideally they should be <20KB each\r\n> \r\n> To do so feel free to take a look inside them and in the jsonl files only k... |
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"Hi @lhoestq I have added this new dataset for tweet's hate speech detection. \r\n\r\nPlease if u could review it. \r\n\r\nThank you",
"Hi @darshan-gandhi have you add a chance to take a look at my suggestions ?\r\n\r\nFeel free to ping me when you're ready for the final review",
"Closing in favor of #1607"
] | |
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} | UPDATE2: PR passed all tests. Now waiting for review.
UPDATE: pushed a new version. cross fingers that it should complete all the tests! :)
If it passes all tests then it's not a draft version.
This is a draft version | {
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"> Before we merge can you try to reduce the size of the dummy_data.zip file ?\r\n> \r\n> To do so feel free to only keep a few lines of the csv files ans also remove unnecessary chunks of texts (for example keep only the first sentences of a story).\r\n\r\nHi @lhoestq, I have reduced the size of the dummy_data.zip... | |
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Data: https://github.com/IgnatiusEzeani/IGBONLP/tree/master/ig_monoling
Paper: https://arxiv.org/abs/2004.00648 | {
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"@lhoestq Thank you for the review. I have made all the changes you mentioned. PTAL! "
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"Requested changes made and new PR submitted here: https://github.com/huggingface/datasets/pull/1580 "
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"Hi @lhoestq, thanks for the review. I will have a look and update it accordingly.",
"Strange error message :-)\r\n\r\n```\r\n> tf_context = tf.python.context.context() # eager mode context\r\nE AttributeError: module 'tensorflow' has no attribute 'python'\r\n```\r\n"
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} | The IndoNLU benchmark is a collection of resources for training, evaluating, and analyzing natural language understanding systems for the Indonesian language. There are 12 datasets in IndoNLU.
This is a new clean PR from [#1322](https://github.com/huggingface/datasets/pull/1322) | {
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"Hi @iliemihai, it looks like this PR holds changes from your previous PR #1493 .\r\nWould you mind removing them from the branch please ?",
"@SBrandeis I am sorry. Yes I will remove them. Thank you :D ",
"Hi @lhoestq @SBrandeis @iliemihai\r\n\r\nIs this still in progress or can I take over this one?\r\n\r\nTha... |
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} | @lhoestq Sorry I messed up the previous 2 PR's -> https://github.com/huggingface/datasets/pull/1462 -> https://github.com/huggingface/datasets/pull/1383. So created a new one. Also, everything is fixed in this PR. Can you please review it ?
Thanks in advance. | {
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See https://homes.cs.washington.edu/~msap/atomic/ | {
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} | This Spanish dataset can be used to mine knowledge from unstructured health texts.
In particular, for:
- Entity recognition
- Relation extraction
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"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 e... |
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"@SBrandeis : Thanks for the feedback! Just updated to use context manager for the `open`s and removed the placeholder text from the `README`!",
"Great, thanks @ZacharySBrown !\r\nFailing tests seem to be unrelated to your changes, merging the current master branch into yours should fix them.\r\n"
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} | This is the ATOMIC common sense dataset. More info can be found here:
* README.md still to be created. | {
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"I had to create a new PR to fix git errors. See: https://github.com/huggingface/datasets/pull/1525\r\n\r\nI'm closing this PR. "
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"Hi @lhoestq \r\n\r\nI have added the readme as well \r\n\r\nPlease do have a look at it when suitable ",
"Chatted with @darshan-gandhi on Slack about parsing examples into a separate text and sentiment field",
"Thanks for your contribution, @darshan-gandhi. Are you still interested in adding this dataset?\r\n... |
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"@yjernite Thank you for your help, generating the dummy data 🤗 Having that all the tests have passed 👍🏻",
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could you tell me how I can get all unique options of a property of dataset?
for instance in case of boolq, if the user wants to know which unique labels it has, is there a way to access unique labels without getting all training data lables and then forming a set i mean? thanks | {
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"Hi @lhoestq \r\n\r\nI have added the readme file as well, please if you could check it once \r\n\r\nThank you "
] |
https://api.github.com/repos/huggingface/datasets/issues/1512 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1512/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1512/comments | https://api.github.com/repos/huggingface/datasets/issues/1512/events | https://github.com/huggingface/datasets/pull/1512 | 764,010,722 | MDExOlB1bGxSZXF1ZXN0NTM4Mjc5MzIy | 1,512 | Add Hippocorpus Dataset | {
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} | - Added tags, Readme file
- Added code changes | {
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"The only CI error comes from \r\n```\r\nFAILED tests/test_file_utils.py::TempSeedTest::test_tensorflow\r\n```\r\n\r\nwhich is not related to your PR and is fixed on master.\r\n\r\nYou can ignore it",
"@lhoestq I've made the changes. Please review and merge. \r\n\r\nI have a similar PR https://github.com/huggingf... |
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} | 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 | {
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"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",
"merging since the Ci is fixed on master"
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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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"Many thanks @Nilanshrajput !\r\nThe failing tests on CI are not related to your changes, merging master on your branch should fix them :)\r\nIf you're interested in what causes the CI to fail,... |
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} | This PR will add Indo-Aryan Language Identification Shared Task Dataset. | {
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https://api.github.com/repos/huggingface/datasets/issues/1504 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1504/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1504/comments | https://api.github.com/repos/huggingface/datasets/issues/1504/events | https://github.com/huggingface/datasets/pull/1504 | 763,697,231 | MDExOlB1bGxSZXF1ZXN0NTM4MDczMzcw | 1,504 | Add SentiWS dataset for pos-tagging and sentiment-scoring (German) | {
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"Hi @lhoestq @yjernite, requesting you to review this for any changes needed. Thanks! :)",
"Hi @lhoestq , I have updated the PR"
] | |
https://api.github.com/repos/huggingface/datasets/issues/1503 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1503/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1503/comments | https://api.github.com/repos/huggingface/datasets/issues/1503/events | https://github.com/huggingface/datasets/pull/1503 | 763,667,489 | MDExOlB1bGxSZXF1ZXN0NTM4MDUxNDM2 | 1,503 | Adding COVID QA dataset in Chinese and English from UC SanDiego | {
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"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:\r\n\r\n`python datasets-cli test datasets/covid_qa_ucsd/ --save_infos --all_configs --data_dir ~/Downloads/Medical-Dialogue-Dataset/CovidDail... | |
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} | TODO:
Fix feature format issue
Create dataset_info.json file
Run pytests
Make Style | {
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"Better will be if you close this PR and make a fresh PR",
"Feel free to ping me if you also have questions about the dummy data",
"also it looks like this PR includes changes about dummy_data.zip files in the ./datasets//un_pc folder. Can you remove them ?",
"Thanks for all the advice @lhoestq. I've implemen... |
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"Hi @lhoestq @yjernite, requesting you to review this for any changes needed. Thanks! :)"
] | |
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"@lhoestq thanks for the comments! Should be fixed in the latest commit, I assume the CI errors are unrelated."
] | |
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} | Hi, I need to update the link to the dataset. The link in the previous PR was to a small test dataset. Thanks | {
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"made suggested changes and created a PR here: https://github.com/huggingface/datasets/pull/1598"
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} | https://parl.ai/projects/md_gender/
Mostly has the ABOUT dimension since the others are inferred from other datasets in most cases.
I tried to keep the dummy data small but one of the configs has 140 splits ( > 56KB data) | {
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"> Thanks for the PR @... | |
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"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 i... |
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"@lhoestq Thank you for suggesting changes. I fixed all the changes you suggested. Can you please review it again? ",
"@lhoestq Thank you for reviewing and suggesting changes. I made the requested changes. Can you please review it again?",
"Thanks @lhoestq for reviewing it again. I made the required changes. Ca... |
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"The error `tests/test_file_utils.py::TempSeedTest::test_tensorflow` just appeared because of tensorflow's update.\r\nOnce it's fixed on master we'll be free to merge this one",
"It's fixed on master now :) \r\n\r\nmerging this once"
] |
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"> Cool thank you !\r\n> \r\n> I left a few comments\r\n\r\nThank 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? ",
"The CI error is not related to your dataset and is fixed on master.\r\nYou can ignore it"
] | |
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link: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DPQMQH | {
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"@lhoestq @abhishekkrthakur what happened here ?\r\n",
"@lhoestq everything alright here ?",
"@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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"Let me know it that helps !\r\nAlso feel free to ping me if you have other questions or if I can help you.",
"Now I am getting an Assertion Error!\r\n\r\n",
"All tests have passed. However, PyTest is ... |
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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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"@lhoestq this is now only failing some random windows test (it appears to be somewhere in wnut_17)",
"This is a connection error, you can ignore it :) \r\nThe level of activity on the lib is quite overwhelming, it stresses a bit the CI ^^"
] |
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} | [] | closed | false | null | [] | null | 2 | 2020-12-11T12:19:38Z | 2020-12-19T15:03:39Z | 2020-12-19T15:03:39Z | CONTRIBUTOR | null | null | null | Just find it a wee bit odd that in the transformers library `predictions` are those made by the model:
https://github.com/huggingface/transformers/blob/master/src/transformers/trainer_utils.py#L51-L61
While in many datasets metrics they are the ground truth labels:
https://github.com/huggingface/datasets/blob/c3f53792a744ede18d748a1133b6597fdd2d8d18/metrics/accuracy/accuracy.py#L31-L40
Do you think predictions & references should be swapped? I'd be willing to do some refactoring here if you agree. | {
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"Also for the `Accuracy` metric the `accuracy_score` method should have its args in the opposite order so `accuracy_score(predictions, references,,,)`.",
"Thanks for pointing this out ! 🕵🏻 \r\nPredictions and references should indeed be swapped in the docstring.\r\nHowever, the call to `accuracy_score` should n... |
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} | I forgot to add `elem.clear()` to clear the element from memory. | {
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} | See #1442.
The statement `json.load()` loads **all the file content in memory**.
In order to avoid this, file content should be parsed **iteratively**, by using the library `ijson` e.g.
I have refactorized the code into a function `_create_json_dummy_data` and I have added some tests. | {
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https://api.github.com/repos/huggingface/datasets/issues/1471 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1471/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1471/comments | https://api.github.com/repos/huggingface/datasets/issues/1471/events | https://github.com/huggingface/datasets/pull/1471 | 761,842,512 | MDExOlB1bGxSZXF1ZXN0NTM2NDUyMzcy | 1,471 | Adding the HAREM dataset | {
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} | [] | closed | false | null | [] | null | 5 | 2020-12-11T03:21:10Z | 2020-12-22T10:37:33Z | 2020-12-22T10:37:33Z | CONTRIBUTOR | null | 0 | {
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} | Adding the HAREM dataset, a Portuguese language dataset for NER tasks | {
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"Thanks for the changes !\r\n\r\nSorry if I wasn't clear about the suggestion of adding the `raw` dataset as well.\r\nBy `raw` I meant the dataset with its original features, i.e. not tokenized to follow the conll format for NER.\r\nThe `raw` dataset has data fields `doc_text`, `doc_id` and `entities`.",
"Alright... |
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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} | 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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"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_... |
https://api.github.com/repos/huggingface/datasets/issues/1469 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1469/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1469/comments | https://api.github.com/repos/huggingface/datasets/issues/1469/events | https://github.com/huggingface/datasets/pull/1469 | 761,611,315 | MDExOlB1bGxSZXF1ZXN0NTM2MjUzMDk4 | 1,469 | ADD: Wino_bias dataset | {
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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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} | 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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"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... |
https://api.github.com/repos/huggingface/datasets/issues/1467 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1467/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1467/comments | https://api.github.com/repos/huggingface/datasets/issues/1467/events | https://github.com/huggingface/datasets/pull/1467 | 761,557,290 | MDExOlB1bGxSZXF1ZXN0NTM2MjA3NDcx | 1,467 | adding snow_simplified_japanese_corpus | {
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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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"Thank you for the updates and merging!"
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https://api.github.com/repos/huggingface/datasets/issues/1466 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1466/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1466/comments | https://api.github.com/repos/huggingface/datasets/issues/1466/events | https://github.com/huggingface/datasets/pull/1466 | 761,554,357 | MDExOlB1bGxSZXF1ZXN0NTM2MjA0OTMx | 1,466 | Add Turkish News Category Dataset (270K).Updates were made for review… | {
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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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"@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_com... |
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"@lhoestq rerun the tests "
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Dataset link- https://raw.githubusercontent.com/taivop/joke-dataset/master/reddit_jokes.json | {
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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."
] |
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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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"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 j... |
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} | 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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"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 argum... |
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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 le... | |
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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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"merging since the CI is fixed on master"
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} | [] | closed | false | null | [] | null | 1 | 2020-12-10T12:36:56Z | 2020-12-17T17:03:32Z | 2020-12-17T16:58:11Z | CONTRIBUTOR | null | 0 | {
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} | 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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"Thank you for your review @lhoestq, I've changed the types of `qid` and `ra` and now they are integers as `aid`.\r\n\r\nReady for another review!"
] |
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} | [] | closed | false | null | [] | null | 2 | 2020-12-10T12:13:21Z | 2020-12-14T15:00:46Z | 2020-12-14T10:31:24Z | CONTRIBUTOR | null | 0 | {
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} | I addressed the comments on the PR1318 | {
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"> Thanks !\r\n\r\nThanks as well for your hard work 😊!!",
"merging since the CI is fixed on master"
] |
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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} | [] | closed | false | null | [] | null | 2 | 2020-12-10T10:16:55Z | 2020-12-10T17:49:55Z | 2020-12-10T17:49:55Z | NONE | 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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"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."
] |
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https://api.github.com/repos/huggingface/datasets/issues/1450 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1450/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1450/comments | https://api.github.com/repos/huggingface/datasets/issues/1450/events | https://github.com/huggingface/datasets/pull/1450 | 761,102,429 | MDExOlB1bGxSZXF1ZXN0NTM1ODIwNjg0 | 1,450 | Fix version in bible_para | {
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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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"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"
] |
https://api.github.com/repos/huggingface/datasets/issues/1448 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1448/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1448/comments | https://api.github.com/repos/huggingface/datasets/issues/1448/events | https://github.com/huggingface/datasets/pull/1448 | 761,080,776 | MDExOlB1bGxSZXF1ZXN0NTM1ODAyNDM3 | 1,448 | add thai_toxicity_tweet | {
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} | [] | closed | false | null | [] | null | 0 | 2020-12-10T09:48:02Z | 2020-12-11T16:21:27Z | 2020-12-11T16:21:27Z | CONTRIBUTOR | null | 0 | {
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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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"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/704107f924e74... |
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} | [] | closed | false | null | [] | null | 2 | 2020-12-10T09:17:28Z | 2020-12-15T07:45:19Z | 2020-12-15T07:45:19Z | CONTRIBUTOR | null | 0 | {
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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"
] | |
https://api.github.com/repos/huggingface/datasets/issues/1444 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1444/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1444/comments | https://api.github.com/repos/huggingface/datasets/issues/1444/events | https://github.com/huggingface/datasets/issues/1444 | 761,055,651 | MDU6SXNzdWU3NjEwNTU2NTE= | 1,444 | FileNotFound remotly, can't load a dataset | {
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} | [] | closed | false | null | [] | null | 2 | 2020-12-10T09:14:47Z | 2020-12-15T17:41:14Z | 2020-12-15T17:41:14Z | NONE | 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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"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 "... |
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