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https://api.github.com/repos/huggingface/datasets/issues/1573
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767,011,938
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1,573
adding dataset for diplomacy detection-2
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2020-12-14T23:21:37Z
2020-12-14T23:36:57Z
2020-12-14T23:36:57Z
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767,008,470
MDExOlB1bGxSZXF1ZXN0NTM5ODU5OTgx
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add Gnad10 dataset
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2020-12-14T23:15:02Z
2021-09-17T16:54:37Z
2020-12-16T16:52:30Z
MEMBER
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reference [PR#1317](https://github.com/huggingface/datasets/pull/1317)
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1,571
Fixing the KILT tasks to match our current standards
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2020-12-14T22:26:12Z
2020-12-14T23:07:41Z
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This introduces a few changes to the Knowledge Intensive Learning task benchmark to bring it more in line with our current datasets, including adding the (minimal) dataset card and having one config per sub-task
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Documentation for loading CSV datasets misleads the user
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2020-12-14T19:04:37Z
2020-12-22T19:30:12Z
2020-12-21T13:47:09Z
CONTRIBUTOR
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Documentation for loading CSV datasets misleads the user into thinking setting `quote_char' to False will disable quoting. There are two problems here: i) `quote_char' is misspelled, must be `quotechar' ii) the documentation should mention `quoting'
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added un_ga dataset
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2020-12-14T17:42:04Z
2020-12-15T15:28:58Z
2020-12-15T15:28:58Z
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Hi :hugs:, This is a PR for [United nations general assembly resolutions: A six-language parallel corpus](http://opus.nlpl.eu/UN.php) dataset. With suggested changes in #1330
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Added the dataset clickbait_news_bg
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2020-12-14T17:03:00Z
2020-12-15T18:28:56Z
2020-12-15T18:28:56Z
CONTRIBUTOR
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There was a problem with my [previous PR 1445](https://github.com/huggingface/datasets/pull/1445) after rebasing, so I'm copying the dataset code into a new branch and submitting a new PR.
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[wording] Update Readme.md
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2020-12-14T12:34:52Z
2020-12-15T12:54:07Z
2020-12-15T12:54:06Z
MEMBER
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Make the features of the library clearer.
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Add Microsoft Research Sequential Question Answering (SQA) Dataset
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2020-12-14T12:02:30Z
2020-12-15T15:24:22Z
2020-12-15T15:24:22Z
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For more information: https://msropendata.com/datasets/b25190ed-0f59-47b1-9211-5962858142c2
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Create README.md
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2020-12-14T11:40:23Z
2021-03-25T14:01:49Z
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2020-12-14T10:35:09Z
2020-12-22T09:51:04Z
2020-12-22T09:51:04Z
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I'm having issues in creating the dummy data. I'm still investigating how to fix it. I'll close the PR if I couldn't find a solution
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2020-12-21T10:21:04Z
2020-12-21T10:07:13Z
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Adding TMU-GFM-Dataset for Grammatical Error Correction. https://github.com/tmu-nlp/TMU-GFM-Dataset A dataset for GEC metrics with manual evaluations of grammaticality, fluency, and meaning preservation for system outputs. More detail about the creation of the dataset can be found in [Yoshimura et al. (2020)](https://www.aclweb.org/anthology/2020.coling-main.573.pdf).
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Add dataset COrpus of Urdu News TExt Reuse (COUNTER).
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2020-12-21T13:14:46Z
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Lama
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2020-12-14T03:27:10Z
2020-12-28T09:51:47Z
2020-12-28T09:51:47Z
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This the LAMA dataset for probing facts and common sense from language models. See https://github.com/facebookresearch/LAMA for more details.
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2020-12-18T15:56:56Z
2020-12-18T15:56:55Z
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Adding the BrWaC dataset, a large corpus of Portuguese language texts
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adding dataset card information to CONTRIBUTING.md
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Added a documentation line and link to the full sprint guide in the "How to add a dataset" section, and a section on how to contribute to the dataset card of an existing dataset. And a thank you note at the end :hugs:
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2020-12-21T14:38:20Z
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This PR adds the Igbo NER dataset. Data: https://github.com/IgnatiusEzeani/IGBONLP/tree/master/ig_ner
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2020-12-18T09:44:43Z
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Dataset : http://opus.nlpl.eu/TedTalks.php
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Dataset : http://opus.nlpl.eu/CAPES.php
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UPDATE2 (3797ce5): Updated for multi-configs UPDATE (7018082): manually created the dummy_datasets. All tests were cleared locally. Pushed it to origin/master DRAFT VERSION (57fdb20): (_no longer draft_) Uploaded the air_dialogue database. dummy_data creation was failing in local, since the original downloaded file has some nested folders. Pushing it since the tests with real data was cleared. Will re-check & update via manually creating some dummy_data
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Dataset : http://opus.nlpl.eu/ParaCrawl.php
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Biomedical Romanian dataset :)
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Generics kb new branch
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2020-12-13T19:33:10Z
2020-12-21T13:55:09Z
2020-12-21T13:55:09Z
CONTRIBUTOR
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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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1,548
Fix `🤗Datasets` - `tfds` differences link + a few aesthetics
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2020-12-13T18:48:21Z
2020-12-15T12:55:27Z
2020-12-15T12:55:27Z
NONE
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Adding PolEval2019 Machine Translation Task dataset
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2020-12-13T17:50:03Z
2023-04-03T09:20:23Z
2020-12-21T16:13:21Z
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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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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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2020-12-13T17:31:54Z
2020-12-18T13:35:17Z
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Added Wiki Summary Dataset
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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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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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1,542
fix typo readme
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2020-12-13T14:41:22Z
2020-12-13T17:16:41Z
2020-12-13T17:16:40Z
MEMBER
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1,541
connection issue while downloading data
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2020-12-13T14:27:00Z
2022-10-05T12:33:29Z
2022-10-05T12:33:29Z
NONE
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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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2020-12-13T12:43:33Z
2020-12-18T10:09:01Z
2020-12-18T10:09:01Z
CONTRIBUTOR
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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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Added Wiki Asp dataset
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2020-12-13T12:18:34Z
2020-12-22T10:16:01Z
2020-12-22T10:16:01Z
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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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2020-12-21T15:54:28Z
2020-12-21T15:54:27Z
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2020-12-13T06:58:23Z
2020-12-17T18:28:16Z
2020-12-17T18:28:16Z
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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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Add Hippocorpus Dataset
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2020-12-13T06:13:02Z
2020-12-15T13:41:17Z
2020-12-15T13:40:11Z
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Adding Igbo monolingual dataset
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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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2020-12-15T19:52:52Z
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add id_panl_bppt, a parallel corpus for en-id
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2020-12-13T03:11:27Z
2020-12-21T10:40:36Z
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Parallel Text Corpora for English - Indonesian
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2020-12-16T11:11:43Z
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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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Movies reviews dataset for Romanian language.
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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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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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2020-12-12T22:54:50Z
2020-12-28T15:51:11Z
2020-12-28T15:51:11Z
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Adding the Atomic common sense dataset. See https://homes.cs.washington.edu/~msap/atomic/
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ADD: swahili dataset for language modeling
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2020-12-17T16:37:16Z
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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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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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Adding in propaganda detection task (task 11) from Sem Eval 2020
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Atomic
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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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RuReviews: An Automatically Annotated Sentiment Analysis Dataset for Product Reviews in Russian
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There is an issue in generation of dummy data. Tests on real data have passed locally.
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Kd conv smangrul
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adding wrbsc
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Adding Yoruba text C3
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how to get all the options of a property in datasets
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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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- Added tags, Readme file - Added code changes
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2021-03-11T02:18:39Z
2020-12-15T12:57:48Z
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Fixes a broken link and `DatasetInfoMixin.split`'s docstring.
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763,857,872
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Add SelQA Dataset
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2020-12-12T13:58:07Z
2020-12-16T16:49:23Z
2020-12-16T16:49:23Z
CONTRIBUTOR
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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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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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2020-12-12T12:44:12Z
2020-12-17T15:43:07Z
2020-12-17T15:43:07Z
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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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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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Add Senti_Lex Dataset
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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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Adds XED dataset
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adding polsum
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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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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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adding fake-news-english-5
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Add Multi-Dimensional Gender Bias classification data
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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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Opus DGT added
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2020-12-11T23:05:09Z
2020-12-17T14:38:41Z
2020-12-17T14:38:41Z
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Dataset : http://opus.nlpl.eu/DGT.php
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Added Opus Wikipedia
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2020-12-11T22:28:03Z
2020-12-17T14:38:28Z
2020-12-17T14:38:28Z
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Dataset : http://opus.nlpl.eu/Wikipedia.php
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Added RONEC dataset.
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2020-12-21T14:48:56Z
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OPUS UBUNTU dataset
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2020-12-11T22:01:37Z
2020-12-17T14:38:16Z
2020-12-17T14:38:15Z
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Dataset : http://opus.nlpl.eu/Ubuntu.php
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added opus GNOME data
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2020-12-11T21:21:51Z
2020-12-17T14:20:23Z
2020-12-17T14:20:23Z
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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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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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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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Dataset : https://github.com/aliannejadi/ClariQ/
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hate speech 18 dataset
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This is again a PR instead of #1339, because something went wrong there.
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…any other unassociated files.
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Added Times of India News Headlines Dataset
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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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Adding medical database chinese and english
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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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Fix ADD_NEW_DATASET to avoid rebasing once pushed
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2020-12-11T16:27:49Z
2021-01-07T10:10:20Z
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MEMBER
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Adding the Mac-Morpho dataset
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2020-12-21T10:03:37Z
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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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2020-12-11T12:58:31Z
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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2020-12-11T12:19:38Z
2020-12-19T15:03:39Z
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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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2020-12-11T12:13:20Z
2020-12-14T13:19:35Z
2020-12-14T13:19:35Z
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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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2020-12-11T11:24:58Z
2020-12-17T17:04:08Z
2020-12-14T13:14:31Z
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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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2020-12-17T11:28:47Z
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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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2020-12-11T08:44:23Z
2022-07-06T15:19:47Z
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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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