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"Hi @iliemihai - you need to add the Readme file! Otherwise seems good. \r\nAlso don't forget to run `make style` & `flake8 datasets` locally, from the datasets folder",
"@skyprince999 I will add the README.d for it. Thank you :D ",
"Thanks for your contribution, @iliemihai. 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."
] | 2020-12-13T19:56:48Z | 2022-10-03T09:38:35Z | 2022-10-03T09:38:35Z |
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Biomedical Romanian dataset :)
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Add offensive langauge dravidian dataset
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"Thanks much!"
] | 2020-12-13T19:54:19Z | 2020-12-18T15:52:49Z | 2020-12-18T14:25:30Z |
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Datasets need manual downloads. Have thus created dummy data as well. But pytest on real and dummy data are failing.
I have completed the readme , tags and other required things. I need to create the metadata json once tests get successful.
Opening a PR while working with Yacine Jernite to resolve my pytest issues.
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Fix `🤗Datasets` - `tfds` differences link + a few aesthetics
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Adding PolEval2019 Machine Translation Task dataset
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"**NOTE:**\r\n\r\n- Train and Dev: Manually downloaded (auto download is repeatedly giving `ConnectionError` for one of the files), Test: Auto Download\r\n- Dummy test is passing\r\n- The json file has been created with hard-coded paths for the manual downloads _(hardcoding has been removed from the final uploaded script)_\r\n- datasets-cli is still **failing** . It is not picking the right directory for the config. For instance, my folder structure is as below:\r\n ```\r\n ~/Downloads/Data/\r\n |--- English-to-Polish\r\n |--- (corresponding files) \r\n |--- Russian-Polish\r\n |--- (corresponding files) \r\n```\r\n\r\nWhen ru-pl is selected, ideally it has to search in Russian-Polish folder, but it is searching in '/Downloads/Data/' folder and hence getting a FileNotFound error.\r\n\r\nThe command run is \r\n`python datasets-cli test datasets/poleval2019_mt/ --save_infos --all_configs --data_dir ~/Downloads/Data/\r\n`\r\n",
"Hi !\r\nThanks for the changes :)\r\n\r\nThe only error left is the dummy data. Since we changed for standard downloads instead of manual downloads its structure changed. Fortunately you can auto-generate the dummy data with this command:\r\n\r\n```\r\ndatasets-cli dummy_data ./datasets/poleval2019_mt --auto_generate --match_text_files \"*\"\r\n```\r\n\r\nCan you regenerate the dummy data using this command please ?",
"Thank you for the help @lhoestq !! I was generating the dummy dataset in a wrong way! That _--match_text_files \"*\"_ did the trick! Now all the tests have passed! :-)",
"Hi @vrindaprabhu ! Do you still have the Poleval2019 data files somewhere by any chance ? It appears the google drive URLs are not working anymore",
"Hi @lhoestq. Just checked. I do not have the backup of the data anywhere. It also appears that PolEval does not repeat its tasks, the data seem to have gone forever. Do you think I should try contacting the organizers for more info?",
"We tried already and they don't have the data anymore :("
] | 2020-12-13T17:50:03Z | 2023-04-03T09:20:23Z | 2020-12-21T16:13:21Z |
CONTRIBUTOR
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Facing an error with pytest in training. Dummy data is passing.
README has to be updated.
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Add persian ner dataset
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"HI @SBrandeis. Thanks for all the comments - very helpful. I realised that the tests had failed and had been trying to figure out what was causing them to do so. All the tests pass when I run the load_real_dataset test however when I run `RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_persian_ner` I get the below error. One thing to note is that the automated dummy data file generation failed when I tried to run it so I manually created the dummy data and ensured that the last line in the file was an empty line as per your comments. Would appreciate your thoughts on what might be causing this:\r\n\r\n```\r\n__________________________________________________ LocalDatasetTest.test_load_dataset_all_configs_persian_ner __________________________________________________\r\n\r\nself = <tests.test_dataset_common.LocalDatasetTest testMethod=test_load_dataset_all_configs_persian_ner>, dataset_name = 'persian_ner'\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--------------------------------------------------------------------- Captured stdout call ---------------------------------------------------------------------\r\nDownloading and preparing dataset persian_ner/fold1 (download: 1.00 MiB, generated: 1.00 MiB, post-processed: Unknown size, total: 2.00 MiB) to /var/folders/nk/yp5_m5c95cnc0cm_vbd7h7g80000gn/T/tmpzh495aac/persian_ner/fold1/1.1.0...\r\nDataset persian_ner downloaded and prepared to /var/folders/nk/yp5_m5c95cnc0cm_vbd7h7g80000gn/T/tmpzh495aac/persian_ner/fold1/1.1.0. Subsequent calls will reuse this data.\r\n--------------------------------------------------------------------- Captured stderr call ---------------------------------------------------------------------\r\n \r\n======================================================================= warnings summary =======================================================================\r\nenv/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21\r\n /Users/karimfoda/Documents/STUDIES/PYTHON/DATASETS/env/lib/python3.7/site-packages/tensorflow/python/autograph/utils/testing.py:21: DeprecationWarning: the imp module is deprecated in favour of importlib; see the module's documentation for alternative uses\r\n import imp\r\n\r\nenv/lib/python3.7/site-packages/apache_beam/typehints/typehints.py:693\r\n /Users/karimfoda/Documents/STUDIES/PYTHON/DATASETS/env/lib/python3.7/site-packages/apache_beam/typehints/typehints.py:693: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working\r\n if not isinstance(type_params, collections.Iterable):\r\n\r\nenv/lib/python3.7/site-packages/apache_beam/typehints/typehints.py:532\r\n /Users/karimfoda/Documents/STUDIES/PYTHON/DATASETS/env/lib/python3.7/site-packages/apache_beam/typehints/typehints.py:532: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working\r\n if not isinstance(type_params, (collections.Sequence, set)):\r\n\r\nenv/lib/python3.7/site-packages/elasticsearch/compat.py:38\r\n /Users/karimfoda/Documents/STUDIES/PYTHON/DATASETS/env/lib/python3.7/site-packages/elasticsearch/compat.py:38: DeprecationWarning: Using or importing the ABCs from 'collections' instead of from 'collections.abc' is deprecated, and in 3.8 it will stop working\r\n from collections import Mapping\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_all_configs_persian_ner - AssertionError: False is not true\r\n```",
"Thanks @SBrandeis. It turns out the error was because I had to manually increase the n_lines variable to get the dummy data generation to cover at least one example. Should all be working okay now.",
"Great, thanks!\r\nIt looks good to me, I'll let @lhoestq take over"
] | 2020-12-13T17:45:48Z | 2020-12-23T09:53:03Z | 2020-12-23T09:53:03Z |
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Adding the following dataset:
https://github.com/HaniehP/PersianNER
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add hrwac
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"merging since the CI is fixed on master"
] | 2020-12-13T17:31:54Z | 2020-12-18T13:35:17Z | 2020-12-18T13:35:17Z |
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Added Wiki Summary Dataset
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"@lhoestq why my tests are not running?",
"Maybe an issue with CircleCI, let me try to make them run",
"The CI error `tests/test_file_utils.py::TempSeedTest::test_tensorflow` is not related to this dataset and is fixed on master, you can ignore it",
"what I need to do now",
"Now the delimiter of the csv reader is fixed, thanks :) \r\n\r\nI just added a comment suggesting to try using actual URLS instead of a manual download if possible.\r\nThis would make things more convenient for the users. Can you try using the `dl_manager` to download the train/dev/test csv files instead of requiring manual download ?",
"Also pinging @m3hrdadfi , since I just noticed that there's already a dataset script that was created 3 weeks ago for this dataset here: https://github.com/m3hrdadfi/wiki-summary/tree/master/datasets/wiki_summary_persian",
"@lhoestq I am getting this error while generating the dummy data\r\n\r\n",
"Can you try by adding the flag `--match_text_files \"*\"` ?",
"now it worked",
"@lhoestq pytest on dummy data passed, but on real data raising this issue\r\n\r\nhow to resolve it\r\n",
"I see ! This is because the library did some verification to make sure it downloads the same files as in the first time you ran the `datasets-cli test` command with `--save_infos`. Since we're now downloading files, the verification fails. \r\n\r\nTo fix that you just need to regenerate the dataset_infos.json file:\r\n```\r\ndatasets-cli test ./datasets/wiki_summary --save_infos --all_configs --ignore_verifications\r\n```",
"@lhoestq I have modified everything and It worked fine, dont know why it is not passing the tests ",
"Awesome thank you !\r\n\r\nThe CI error `tests/test_file_utils.py::TempSeedTest::test_tensorflow` is not related to your dataset and is fixed on master.\r\nYou can ignore it :) ",
"@lhoestq anything left to do ?",
"The dataset script is all good now ! The dummy data and the dataset_infos.json file are good too :) ",
"@lhoestq yay, thanks for helping me out , ",
"merging since the CI is fixed on master",
"@tanmoyio @lhoestq \r\n\r\nThank you both!"
] | 2020-12-13T16:33:46Z | 2020-12-18T16:20:06Z | 2020-12-18T16:17:18Z |
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Wiki Summary: Dataset extracted from Persian Wikipedia into the form of articles and highlights.
Link: https://github.com/m3hrdadfi/wiki-summary
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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 create a new branch\r\n\r\nThen add the dataset script, `README.md`, `dummy_data.zip`, and `dataset_infos.json` to the tracked files for the branch with `git add` (please add all of these files individually, NOT the whole directory as we don't want the other data files)\r\nThen after you have passed the style checks and the local tests, do:\r\n- `git commit . -m initial_commit`\r\n- `git push --set-upstream origin add_hind_encorp`\r\n\r\nThen you can go to this branch on the WebApp and open a new PR",
"@yjernite #1557 created new PR"
] | 2020-12-13T15:39:07Z | 2020-12-13T23:35:53Z | 2020-12-13T23:35:53Z |
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adding Hindi Wikipedia corpus
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fix typo readme
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connection issue while downloading data
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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 internet connection you'll need to have the dataset on the instance disk.\r\nTo do so first download the dataset on another machine using `load_dataset` and then you can save it in a folder using `my_dataset.save_to_disk(\"path/to/folder\")`. Once the folder is copied on your instance you can reload the dataset with `datasets.load_from_disk(\"path/to/folder\")`"
] | 2020-12-13T14:27:00Z | 2022-10-05T12:33:29Z | 2022-10-05T12:33:29Z |
NONE
| null | 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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added TTC4900: A Benchmark Data for Turkish Text Categorization dataset
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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 fill the two sections of the dataset card I suggested ?\r\n> And also remove one remaining print statement\r\n\r\nI updated your suggestions. Thank you very much for your support.",
"I think you accidentally pushed the readme of another dataset (name_to_nation).\r\nI removed it so you have to `git pull`\r\n\r\nBecause of that I guess your changes about the ttc4900 was not included.\r\nFeel free to ping me once they're added\r\n\r\n\r\n",
"> I think you accidentally pushed the readme of another dataset (name_to_nation).\r\n> I removed it so you have to `git pull`\r\n> \r\n> Because of that I guess your changes about the ttc4900 was not included.\r\n> Feel free to ping me once they're added\r\n\r\nI did `git pull` and updated readme **ttc4900**.",
"merging since the Ci is fixed on master"
] | 2020-12-13T12:43:33Z | 2020-12-18T10:09:01Z | 2020-12-18T10:09:01Z |
CONTRIBUTOR
| null | null | 0 |
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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:[email protected]) / @savasy
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Added Wiki Asp dataset
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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 keep 1 or 2 samples instead of 5 and also remove big chunks of text to only keep a few passages.\r\n\r\nThanks, I have updated the dummy data to keep each domain <20/30KB.",
"> > Awesome thank you !\r\n> > I just left one comment.\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> > To do so feel free to take a look inside them and in the jsonl files only keep 1 or 2 samples instead of 5 and also remove big chunks of text to only keep a few passages.\r\n> \r\n> Thanks, I have updated the dummy data to keep each domain <20/30KB.\r\n\r\nLooks like this branch has other commits. I will open a new PR with suggested changes.",
"opened a new PR #1612 "
] | 2020-12-13T12:18:34Z | 2020-12-22T10:16:01Z | 2020-12-22T10:16:01Z |
CONTRIBUTOR
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Hello,
I have added Wiki Asp dataset. Please review the PR.
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tweets_hate_speech_detection
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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"
] | 2020-12-13T07:37:53Z | 2020-12-21T15:54:28Z | 2020-12-21T15:54:27Z |
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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 file by making the necessary changes you had suggested. ",
"merging since the CI is fixed on master"
] | 2020-12-13T06:13:02Z | 2020-12-15T13:41:17Z | 2020-12-15T13:40:11Z |
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"@lhoestq Thank you for the review. I have made all the changes you mentioned. PTAL! "
] | 2020-12-13T05:16:37Z | 2020-12-21T14:39:49Z | 2020-12-21T14:39:49Z |
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This PR adds the Igbo Monolingual dataset.
Data: https://github.com/IgnatiusEzeani/IGBONLP/tree/master/ig_monoling
Paper: https://arxiv.org/abs/2004.00648
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"Requested changes made and new PR submitted here: https://github.com/huggingface/datasets/pull/1580 "
] | 2020-12-13T04:38:43Z | 2020-12-15T19:52:52Z | 2020-12-15T19:52:25Z |
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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"
] | 2020-12-13T03:11:27Z | 2020-12-21T10:40:36Z | 2020-12-21T10:40:36Z |
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Parallel Text Corpora for English - Indonesian
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add indonlu benchmark datasets
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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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Ro sent
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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\nThanks,\r\nGunjan",
"Hi,\r\nWhile trying to add this dataset, I found some potential issues. \r\nThe homepage mentioned is : https://github.com/katakonst/sentiment-analysis-tensorflow/tree/master/datasets/ro/, where the dataset is different from the URLs: https://raw.githubusercontent.com/dumitrescustefan/Romanian-Transformers/examples/examples/sentiment_analysis/ro/train.csv. It is unclear which dataset is \"correct\". I checked the total examples (train+test) in both places and they do not match.",
"We should use the data from dumitrescustefan and set the homepage to his repo IMO, since he's first author of the paper of the dataset.",
"Hi @lhoestq,\r\n\r\nCool, I'll get working on it.\r\n\r\nThanks",
"Hi @lhoestq, \r\n\r\nThis PR can be closed.",
"Closing in favor of #2011 \r\nThanks again for adding it !"
] | 2020-12-13T01:55:02Z | 2021-03-19T10:32:43Z | 2021-03-19T10:32:42Z |
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Movies reviews dataset for Romanian language.
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] | 2020-12-13T01:32:49Z | 2020-12-18T13:51:38Z | 2020-12-18T10:22:32Z |
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Add : Conv AI 2 (Messed up original PR)
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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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added Hebrew thisworld corpus
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"merging since the CI is fixed on master"
] | 2020-12-12T23:42:52Z | 2020-12-18T10:47:30Z | 2020-12-18T10:47:30Z |
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added corpus from https://thisworld.online/ , https://github.com/thisworld1/thisworld.online
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Adding a second branch for Atomic to fix git errors
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Adding the Atomic common sense dataset.
See https://homes.cs.washington.edu/~msap/atomic/
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Add a corpus for Swahili language modelling. All tests passed locally. README updated with all information available.
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Add eHealth Knowledge Discovery dataset
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[
"Thank you very much for your review @lewtun ! \r\n\r\nI've updated the script metadata, created the README and fixed the two details you commented.\r\n\r\nReady for another review! 🤗 ",
"I've updated the task tag as we discussed and also added a couple of lines of code to make sure I include all the available examples.\r\n\r\nThank you again!"
] | 2020-12-12T20:44:18Z | 2020-12-17T17:02:41Z | 2020-12-17T16:48:56Z |
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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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Add semeval 2020 task 11
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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"
] | 2020-12-12T20:32:14Z | 2020-12-15T16:48:52Z | 2020-12-15T16:48:52Z |
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Adding in propaganda detection task (task 11) from Sem Eval 2020
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Atomic
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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. "
] | 2020-12-12T20:18:08Z | 2020-12-12T22:56:48Z | 2020-12-12T22:56:48Z |
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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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ru_reviews dataset adding
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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\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."
] | 2020-12-12T18:13:06Z | 2022-10-03T09:38:42Z | 2022-10-03T09:38:42Z |
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RuReviews: An Automatically Annotated Sentiment Analysis Dataset for Product Reviews in Russian
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[
"@yjernite Thank you for your help, generating the dummy data 🤗 Having that all the tests have passed 👍🏻",
"merging since the CI is fixed on master",
"Thank you :)"
] | 2020-12-12T17:46:16Z | 2020-12-18T13:50:42Z | 2020-12-17T17:03:30Z |
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There is an issue in generation of dummy data. Tests on real data have passed locally.
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Add twi text
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[
"Hii please follow me",
"thank you"
] | 2020-12-12T16:52:02Z | 2020-12-13T18:53:37Z | 2020-12-13T18:53:37Z |
CONTRIBUTOR
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Add Twi texts
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"Hii please follow me",
"merging since the CI is fixed on master"
] | 2020-12-12T16:51:30Z | 2020-12-16T14:56:14Z | 2020-12-16T14:56:14Z |
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"@lhoestq thanks for the comments! Should be fixed in the latest commit, I assume the CI errors are unrelated. ",
"merging since the CI is fixed on master"
] | 2020-12-12T16:38:40Z | 2020-12-18T09:41:33Z | 2020-12-18T09:41:33Z |
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"closing since #1379 got merged"
] | 2020-12-12T16:29:30Z | 2020-12-13T18:37:58Z | 2020-12-13T18:37:58Z |
CONTRIBUTOR
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[
"In a dataset, labels correspond to the `ClassLabel` feature that has the `names` property that returns string represenation of the integer classes (or `num_classes` to get the number of different classes).",
"I think the `features` attribute of the dataset object is what you are looking for:\r\n```\r\n>>> dataset.features\r\n{'sentence1': Value(dtype='string', id=None),\r\n 'sentence2': Value(dtype='string', id=None),\r\n 'label': ClassLabel(num_classes=2, names=['not_equivalent', 'equivalent'], names_file=None, id=None),\r\n 'idx': Value(dtype='int32', id=None)\r\n}\r\n>>> dataset.features[\"label\"].names\r\n['not_equivalent', 'equivalent']\r\n```\r\n\r\nFor reference: https://huggingface.co/docs/datasets/exploring.html"
] | 2020-12-12T16:24:08Z | 2022-05-25T16:27:29Z | 2022-05-25T16:27:29Z |
CONTRIBUTOR
| null | null | null | null |
Hi
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 "
] | 2020-12-12T16:23:49Z | 2020-12-14T20:45:24Z | 2020-12-14T20:45:24Z |
CONTRIBUTOR
| null | null | 0 |
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Add Dataset for (qa_srl)Question-Answer Driven Semantic Role Labeling
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- Added tags, Readme file
- Added code changes
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Added dataset Makhzan
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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/huggingface/datasets/pull/1562 for another dataset. I'll incorporate your comment about sorting and reducing dummy dataset size there.",
"The CI raises an error `FAILED tests/test_file_utils.py::TempSeedTest::test_tensorflow` but it's not related to this dataset.\r\nThis issue is fixed on master",
"You did all the work ;) thanks\r\n\r\nmerging since the CI is fixed on master"
] | 2020-12-12T15:34:07Z | 2020-12-16T15:04:52Z | 2020-12-16T15:04:52Z |
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Need help with the dummy data.
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Fix namedsplit docs
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Fixes a broken link and `DatasetInfoMixin.split`'s docstring.
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Add SelQA Dataset
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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"
] | 2020-12-12T13:58:07Z | 2020-12-16T16:49:23Z | 2020-12-16T16:49:23Z |
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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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Add nq_open question answering dataset
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"@SBrandeis thanks for the review, I applied your suggested changes, but CI is failing now not sure about the error.",
"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, checkout [this commit](https://github.com/huggingface/datasets/commit/9a0f1e20ca1e783cb14c1ab1cc2f54b0b5b201e8)",
"@SBrandeis done!\r\n",
"Hello @Nilanshrajput, your PR includes changes from other branches too now (485 files changed)\r\nWould you mind creating another branch from master with your changes and opening a new PR?",
"@SBrandeis sorry i messed up the git history, #1587 I opened this new pr! ",
"closing in favor of #1587 "
] | 2020-12-12T13:46:48Z | 2020-12-17T15:34:50Z | 2020-12-17T15:34:50Z |
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Added nq_open Open-domain question answering dataset.
The NQ-Open task is currently being used to evaluate submissions to the EfficientQA competition, which is part of the NeurIPS 2020 competition track.
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add ilist dataset
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This PR will add Indo-Aryan Language Identification Shared Task Dataset.
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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"
] | 2020-12-12T12:17:53Z | 2020-12-15T18:32:38Z | 2020-12-15T18:32:38Z |
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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/CovidDailogue/`\r\n\r\n"
] | 2020-12-12T12:02:48Z | 2021-02-16T05:29:18Z | 2020-12-17T15:29:26Z |
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Add Senti_Lex Dataset
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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 implemented the changes you kindly highlighted and have made sure the scripts pass all the test. I've also marked this as ready for review as I believe it's in a good place to be merged now.",
"Great suggestion I fixed the dummy data and the file paths."
] | 2020-12-12T11:55:29Z | 2020-12-28T14:01:12Z | 2020-12-28T14:01:12Z |
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TODO:
Fix feature format issue
Create dataset_info.json file
Run pytests
Make Style
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"Hi @lhoestq @yjernite, requesting you to review this for any changes needed. Thanks! :)"
] | 2020-12-12T09:47:00Z | 2020-12-14T21:20:59Z | 2020-12-14T21:20:59Z |
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"@lhoestq thanks for the comments! Should be fixed in the latest commit, I assume the CI errors are unrelated."
] | 2020-12-12T09:05:29Z | 2020-12-18T09:43:43Z | 2020-12-18T09:43:43Z |
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update the dataset id_newspapers_2018
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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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add stereoset
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[] | 2020-12-12T05:04:37Z | 2020-12-18T10:03:53Z | 2020-12-18T10:03:53Z |
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StereoSet is a dataset that measures stereotype bias in language models. StereoSet consists of 17,000 sentences that measures model preferences across gender, race, religion, and profession.
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"made suggested changes and created a PR here: https://github.com/huggingface/datasets/pull/1598"
] | 2020-12-12T02:13:11Z | 2020-12-17T20:07:17Z | 2020-12-17T20:07:17Z |
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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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Dataset : http://opus.nlpl.eu/DGT.php
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Dataset : http://opus.nlpl.eu/Wikipedia.php
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[
"Thanks for the PR @iliemihai . \r\n\r\nFew comments - \r\n\r\nCan you run - \r\n`python datasets-cli dummy_data ./datasets/ronec --auto_generate` to generate dummy data.\r\n\r\nAlso, before committing files run : \r\n`make style`\r\n`flake8 datasets`\r\nthen you can add and commit files.",
"> Thanks for the PR @iliemihai .\r\n> \r\n> Few comments -\r\n> \r\n> Can you run -\r\n> `python datasets-cli dummy_data ./datasets/ronec --auto_generate` to generate dummy data.\r\n> \r\n> Also, before committing files run :\r\n> `make style`\r\n> `flake8 datasets`\r\n> then you can add and commit files.\r\n\r\nSorry, forgot to generate dummy data. I will do it now :D",
"Awesome, good job @iliemihai !\r\nI think the PR is ready to merge.\r\n@lhoestq would you mind double-checking this ?",
"Had to regenerate the dummy data since I just found out they were empty files"
] | 2020-12-11T22:14:50Z | 2020-12-21T14:48:56Z | 2020-12-21T14:48:56Z |
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OPUS UBUNTU dataset
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Dataset : http://opus.nlpl.eu/Ubuntu.php
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added opus GNOME data
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CONTRIBUTOR
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Dataset : http://opus.nlpl.eu/GNOME.php
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ADD: opus_rf dataset for translation
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"merging since the CI is fixed on master"
] | 2020-12-11T21:16:43Z | 2020-12-13T19:12:24Z | 2020-12-13T19:12:24Z |
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Passed all local tests. Hopefully passes all Circle CI tests too. Tried to keep the commit history clean.
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Fake news english 4
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"Thanks for the PR @MisbahKhan789 !\r\n\r\nFew comments to help you along (I'm NOT a maintainer, just offering help to unblock the process) :-\r\n - Could you re-run `make style` and fix the errors related to code quality specific to your dataset in the `datasets/fake_news_english` folder?\r\n(These seem to show errors that need manual fixes on running `flake8 datasets/fake_news_english`)\r\n- Please run the local tests and check if they pass\r\n`RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_real_dataset_<your-dataset-name>`\r\n `RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_<your-dataset-name>`\r\n(If not, you may have to regenerate the dummy data and the `dataset_infos.json` files)\r\n\r\n",
"Hii please follow me",
"> Thanks for the PR @MisbahKhan789 !\r\n> \r\n> Few comments to help you along (I'm NOT a maintainer, just offering help to unblock the process) :-\r\n> \r\n> * Could you re-run `make style` and fix the errors related to code quality specific to your dataset in the `datasets/fake_news_english` folder?\r\n> (These seem to show errors that need manual fixes on running `flake8 datasets/fake_news_english`)\r\n> * Please run the local tests and check if they pass\r\n> `RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_real_dataset_<your-dataset-name>`\r\n> `RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_<your-dataset-name>`\r\n> (If not, you may have to regenerate the dummy data and the `dataset_infos.json` files)\r\n\r\nHey Bharat, thanks for the reply. I actually submitted a new PR with the changes that are required :)\r\n"
] | 2020-12-11T21:10:35Z | 2020-12-12T19:39:52Z | 2020-12-12T19:38:09Z |
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Adding NELL
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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 it's closed. Do I need to open another PR?\r\n\r\nThe change should be below in _generate_examples:\r\n best_arg1 = row[9]\r\n best_arg2 = row[8]\r\n",
"Hi @ontocord !\r\n\r\nYup the easiest thing to do is to open a new PR with a title like \"Fix NELL dataset argument order\". If it's a simple fix we can look at it pretty fast :) "
] | 2020-12-11T20:25:25Z | 2021-01-07T08:37:07Z | 2020-12-21T14:45:00Z |
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NELL is a knowledge base and knowledge graph along with sentences used to create the KB. See http://rtw.ml.cmu.edu/rtw/ for more details.
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added conv_ai_3 dataset
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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. Can you please have a look ?",
"merging since the CI is fixed on master"
] | 2020-12-11T19:26:26Z | 2020-12-28T09:38:40Z | 2020-12-28T09:38:39Z |
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Dataset : https://github.com/aliannejadi/ClariQ/
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hate speech 18 dataset
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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"
] | 2020-12-11T19:22:14Z | 2020-12-14T19:43:18Z | 2020-12-14T19:43:18Z |
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This is again a PR instead of #1339, because something went wrong there.
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Re-added wiki_movies dataset due to previous PR having changes from m…
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Add peer-read dataset
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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"
] | 2020-12-11T18:43:44Z | 2020-12-21T09:40:50Z | 2020-12-21T09:40:50Z |
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Added Times of India News Headlines Dataset
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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 :) 🤗 "
] | 2020-12-11T18:12:38Z | 2020-12-14T18:08:08Z | 2020-12-14T18:08:08Z |
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Dataset name: Times of India News Headlines
link: https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/DPQMQH
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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 still failing with the `AssertionError` as before. Also _datasets_info.json_ actually does not seem to provide much info. Please review and let me know what has to be improved.\r\n\r\nThanks!",
"[PR-1503](https://github.com/huggingface/datasets/pull/1503) on the COVID dialog dataset from the same University has similar features. I kept it separate because it is only on COVID qa. Also consists of only single files per language. Kindly let me know if it has to be added as two more configurations to this existing dataset itself. If it has to be added, then can I still freeze the file names like in PR-1503?",
"It's ok to have them separate"
] | 2020-12-11T17:50:39Z | 2021-02-16T05:28:36Z | 2020-12-15T18:23:53Z |
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Error in creating dummy dataset
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Adding the Mac-Morpho dataset, a Portuguese language dataset for Part-of-speech tagging tasks
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Add narrativeQA
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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 ^^"
] | 2020-12-11T12:58:31Z | 2020-12-11T13:33:23Z | 2020-12-11T13:33:23Z |
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Redo of #1368 #309 #499
In redoing the dummy data a few times, I ended up adding a load of files to git. Hopefully this should work.
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Inconsistent argument names.
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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 not be changed, it [signature](https://scikit-learn.org/stable/modules/generated/sklearn.metrics.accuracy_score.html#sklearn.metrics.accuracy_score) being:\r\n```\r\nsklearn.metrics.accuracy_score(y_true, y_pred, *, normalize=True, sample_weight=None)\r\n```\r\n\r\nFeel free to open a PR if you want to fix this :)"
] | 2020-12-11T12:19:38Z | 2020-12-19T15:03:39Z | 2020-12-19T15:03:39Z |
CONTRIBUTOR
| null | 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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Jigsaw toxicity pred
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Managed to mess up my original pull request, opening a fresh one incorporating the changes suggested by @lhoestq.
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Add Spanish Billion Words Corpus
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Add an unannotated Spanish corpus of nearly 1.5 billion words, compiled from different resources from the web.
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Fix XML iterparse in opus_dogc dataset
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I forgot to add `elem.clear()` to clear the element from memory.
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Create JSON dummy data without loading all dataset in 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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"Connection error failed. Need rerun",
"merging since the CI is fixed on master"
] | 2020-12-11T08:20:29Z | 2020-12-17T11:40:59Z | 2020-12-17T11:40:59Z |
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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, @lhoestq, now I understand your suggestion, but the JSON files the script downloads aren't actually the \"raw\" HAREM dataset, the [real raw version](https://www.linguateca.pt/primeiroHAREM/harem/ColeccaoDouradaHAREM.zip) of it is on XML format that needs a lot of preprocessing. Those JSON are just pre-processed versions of the dataset.\r\n\r\nI can make the config of the raw version of the pre-processed dataset, but I'll leave a comment on the dataset summary about those details.",
"Oh I see ! Sorry I thought there really were the raw (i.e. original/unprocessed) files",
"The original xml format doesn't seem very practical to use :/ \r\nWe can ignore that and only keep the default and selective configs then.\r\nCan you revert to the old configs ?\r\n\r\nThanks again for adding this dataset !",
"Hi @lhoestq, I've reverted the changes and put more details on README about the dataset."
] | 2020-12-11T03:21:10Z | 2020-12-22T10:37:33Z | 2020-12-22T10:37:33Z |
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Adding the HAREM dataset, a Portuguese language dataset for NER tasks
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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 |
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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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ADD: Wino_bias dataset
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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 |
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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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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
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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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adding snow_simplified_japanese_corpus
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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
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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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Add Turkish News Category Dataset (270K).Updates were made for review…
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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
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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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Add clean menyo20k data
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"@lhoestq rerun the tests "
] | 2020-12-10T19:22:00Z | 2020-12-14T10:30:21Z | 2020-12-14T10:30:21Z |
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New Clean PR for menyo20k_mt
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Reddit jokes
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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 |
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196k Reddit Jokes dataset
Dataset link- https://raw.githubusercontent.com/taivop/joke-dataset/master/reddit_jokes.json
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Adding enriched_web_nlg features + handling xml bugs
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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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Added conv ai 2 (Again)
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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
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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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Adding NewsQA dataset
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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
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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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"@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"
] | 2020-12-10T15:40:55Z | 2021-09-17T16:54:53Z | 2021-01-04T14:08:29Z |
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 2020-12-10T13:50:33Z | 2022-04-14T13:14:19Z | 2022-04-14T13:07:49Z |
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] | 2020-12-10T13:20:34Z | 2020-12-17T10:45:15Z | 2020-12-17T10:45:15Z |
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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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] | 2020-12-10T13:16:20Z | 2020-12-10T13:35:54Z | 2020-12-10T13:35:10Z |
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Closes #773
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| 1,455 |
Add HEAD-QA: A Healthcare Dataset for Complex Reasoning
|
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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!"
] | 2020-12-10T12:36:56Z | 2020-12-17T17:03:32Z | 2020-12-17T16:58:11Z |
CONTRIBUTOR
| null | 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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"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 | 0 |
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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 | 0 |
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I addressed the comments on the PR1318
|
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| 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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