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Adding a new dataset - clickbait_news_bg
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I had mistaken use git rebase, I was so hurried to fix it. However, I didn't fully consider the use of git reset , so I unintendedly stopped PR (#1367) altogether. Sorry about that.
I'll make a new PR.
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Adding the EAC Translation Memory dataset : https://ec.europa.eu/jrc/en/language-technologies/eac-translation-memory
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HoVer: A Dataset for Many-Hop Fact Extraction And Claim Verification
https://arxiv.org/abs/2011.03088
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Since last PR #1349 had some issues passing the tests. So, a new PR is generated.
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Adds a helpful prompt to the error message when a dataset/metric is not found, suggesting the user might need to pass `script_version="master"` if the dataset was added recently. The whole error looks like:
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If the dataset was added recently, you may need to to pass script_version="master" to find the loading script on the master branch.
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This corresponds to the amazon (binary dataset) requested in https://github.com/huggingface/datasets/issues/353
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2020-12-09T14:46:51Z
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2020-12-09T14:46:37Z
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resubmit of hind_encorp file changes
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Add LIAR dataset
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2020-12-14T18:06:43Z
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2020-12-14T16:23:59Z
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Add LIAR dataset from [“Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection](https://www.aclweb.org/anthology/P17-2067/).
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Add RecipeNLG Dataset (manual download)
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2020-12-10T16:58:22Z
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2020-12-10T16:58:21Z
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add best2009
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2020-12-09T13:56:09Z
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2020-12-14T10:59:08Z
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2020-12-14T10:59:08Z
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`best2009` is a Thai word-tokenization dataset from encyclopedia, novels, news and articles by [NECTEC](https://www.nectec.or.th/) (148,995/2,252 lines of train/test). It was created for [BEST 2010: Word Tokenization Competition](https://thailang.nectec.or.th/archive/indexa290.html?q=node/10). The test set answers are not provided publicly.
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Add News Commentary Dataset
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2020-12-10T16:54:08Z
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added conv ai 2
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2020-12-13T18:54:42Z
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2020-12-13T18:54:41Z
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Dataset : https://github.com/DeepPavlov/convai/tree/master/2018
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adding UNPC
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Adding United Nations Parallel Corpus
http://opus.nlpl.eu/UNPC.php
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2020-12-13T18:39:27Z
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Added Twi texts for training embeddings and language models based on the paper https://www.aclweb.org/anthology/2020.lrec-1.335/
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Adding Scielo: Parallel corpus of full-text articles in Portuguese, English and Spanish from SciELO
https://sites.google.com/view/felipe-soares/datasets#h.p_92uSCyAjWSRB
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When passed `--cache_dir` arg:
```shell
python datasets-cli test datasets/<my-dataset-folder> --save_infos --all_configs --cache_dir <my-cache-dir>
```
it is not used for caching the modules, which are cached in the default location at `.cache/huggingface/modules`.
With this fix, the modules will be cached at `<my-cache-dir>/modules`.
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An update of #309.
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Adding COVID-19 Japanese Tweets Dataset as part of the sprint.
Testing with dummy data is not working (the file is said to not exist). Sorry for the incomplete PR.
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2020-12-10T15:37:56Z
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# MKQA: Multilingual Knowledge Questions & Answers Dataset
Adding the [MKQA](https://github.com/apple/ml-mkqa) dataset as part of the sprint 🎉
There is no official data splits so I added just a `train` split.
differently from the original:
- answer:type field is a ClassLabel (I thought it might be possible to train on this as a label for categorizing questions)
- answer:entity field has a default value of empty string '' (since this key is not available for all in original)
- answer:alias has default value of []
- [x] All tests passed
- [x] Added dummy data
- [x] Added data card (as much as I could)
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Narrative QA (Manual Download Stories) Dataset
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2020-12-09T09:33:59Z
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2021-01-25T15:31:51Z
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2021-01-25T15:31:31Z
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Narrative QA with manual download for stories.
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Adding UnMulti
http://www.euromatrixplus.net/multi-un/
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Adding opus_infopankki
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2020-12-16T17:04:44Z
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Brand-Product Relation Extraction Corpora in Polish
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2020-12-10T14:28:41Z
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`wisesight1000` contains Thai social media texts randomly drawn from the full `wisesight-sentiment`, tokenized by human annotators. Out of the labels `neg` (negative), `neu` (neutral), `pos` (positive), `q` (question), 250 samples each. Some texts are removed because they look like spam.Because these samples are representative of real world content, we believe having these annotaed samples will allow the community to robustly evaluate tokenization algorithms.
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2020-12-10T14:24:36Z
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This PR adds the Spider dataset, a large-scale complex and cross-domain semantic parsing and text-to-SQL dataset annotated by 11 Yale students. The goal of the Spider challenge is to develop natural language interfaces to cross-domain databases.
Dataset website: https://yale-lily.github.io/spider
Paper link: https://www.aclweb.org/anthology/D18-1425/
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Youtube caption corrections
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2020-12-15T18:12:56Z
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2020-12-15T18:12:56Z
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This PR adds a new dataset of YouTube captions, error and corrections. This dataset was created in just the last week, as inspired by this sprint!
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Add StackOverflow StackSample dataset
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2020-12-09T04:59:51Z
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2020-12-21T14:48:21Z
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2020-12-21T14:48:21Z
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NONE
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This PR adds the StackOverflow StackSample dataset from Kaggle: https://www.kaggle.com/stackoverflow/stacksample
Ran through all of the steps. However, since my dataset requires manually downloading the data, I was unable to run the pytest on the real dataset (the dummy data pytest passed).
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Addition of py_ast dataset
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2020-12-09T16:19:49Z
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@lhoestq as discussed in PR #1195
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2020-12-10T15:10:30Z
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This PR adds the TweetQA dataset, the first dataset for QA on social media data by leveraging news media and crowdsourcing.
Paper: https://arxiv.org/abs/1907.06292
Repository: https://tweetqa.github.io/
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Add additional instructions for how to generate dataset_infos.json for manual download datasets. Information courtesy of `Taimur Ibrahim` from the slack channel
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2020-12-10T13:42:17Z
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`prachathai67k` is currently downloaded from git-lfs of PyThaiNLP github. Since the size is quite large (~250MB), I moved the URL to archive.org in order to prevent rate limit issues.
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`craigslist_bargains` data set from [here](https://worksheets.codalab.org/worksheets/0x453913e76b65495d8b9730d41c7e0a0c/)
(Cleaned up version of #1278)
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add LeNER-Br dataset
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Added MultiReQA, which is a dataset containing the sentence boundary annotation from eight publicly available QA datasets including SearchQA, TriviaQA, HotpotQA, NaturalQuestions, SQuAD, BioASQ, RelationExtraction, and TextbookQA.
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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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This PR adds LiveQA, the Chinese real-time/timeline-based QA task by [Liu et al., 2020](https://arxiv.org/pdf/2010.00526.pdf).
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@lhoestq @yjernite
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We can now use the wonderful online form for dataset cards created by @evrardts
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Adds the Catalonia Independence Corpus for stance-detection of Tweets.
Ready for review!
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Add an unannotated corpus of the Spanish language of nearly 1.5 billion words, compiled from different resources from the web.
The dataset needs 10 GB (download: 1.89 GiB, generated: 8.34 GiB, post-processed: Unknown size, total: 10.22 GiB), the test using dummy data pass but my laptop isn't able to run it on the real data (I left it running for over 8 hours and it didn't finish).
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Added new dataset Yoruba BBC Topic Classification
Contains loading script as well as dataset card including YAML tags.
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Hi :hugs:, This is a PR for [Bianet: A parallel news corpus in Turkish, Kurdish and English; Source](http://opus.nlpl.eu/Bianet.php) dataset
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Contains loading script as well as dataset card including YAML tags.
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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
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This PR adds the original NewsPH dataset which is used to autogenerate the NewsPH-NLI dataset. Reopened a new PR as the previous one had problems.
Paper: https://arxiv.org/abs/2010.11574
Repo: https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks
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TEP: Tehran English-Persian parallel corpus
more info : http://opus.nlpl.eu/TEP.php
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Pull request for adding humicroedit dataset
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2020-12-08T16:25:58Z
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2020-12-22T07:50:56Z
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Hi there,
First of all, thank you very much for this amazing library. Datasets have become my preferred data structure for basically everything I am currently doing.
**Question:** I'm working with a dataset and I have an elasticsearch container running at localhost:9200. I added an elasticsearch index and I was wondering
- how can I know where it has been saved?
- how can I share the indexed dataset with others?
I tried to dig into the docs, but could not find anything about that.
Thank you very much for your help.
Best,
Pietro
Edit: apologies for the wrong label
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Add CC-News dataset of English language articles
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Adds [CC-News](https://commoncrawl.org/2016/10/news-dataset-available/) dataset. It contains 708241 English language news articles. Although each article has a language field these tags are not reliable. I've used Spacy language detection [pipeline](https://spacy.io/universe/project/spacy-langdetect) to confirm that the article language is indeed English.
The prepared dataset is temporarily hosted on my private Google Storage [bucket](https://storage.googleapis.com/hf_datasets/cc_news.tar.gz). We can move it to HF storage and update this PR before merging.
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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.
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The Dutch social media tweets dataset. Which has a total of more than 210k tweets in dutch language. These tweets have been machine annotated with sentiment scores (`label` feature) and `industry` and `hisco_codes`
It can be used for sentiment analysis, multi-label classification and entity tagging
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NONE
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This PR adds the WikiText-TL-39 Filipino Language Modeling dataset. Restarted a new pull request since there were problems with the earlier one.
Paper: https://arxiv.org/abs/1907.00409
Repo: https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks
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ethos first commit
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Ethos passed all the tests except from this one:
RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_<your-dataset-name>
with this error:
E OSError: Cannot find data file.
E Original error:
E [Errno 2] No such file or directory:
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add 10k German News Article Dataset
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Allow GitHub releases as dataset source
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2020-12-10T10:12:00Z
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2020-12-10T10:12:00Z
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# Summary
Providing a GitHub release URL to `DownloadManager.download()` currently throws a `ConnectionError: Couldn't reach [DOWNLOAD_URL]`. This PR fixes this problem by adding an exception for GitHub releases in `datasets.utils.file_utils.get_from_cache()`.
# Reproduce
```
import datasets
url = 'http://github.com/benjaminvdb/DBRD/releases/download/v3.0/DBRD_v3.tgz'
result = datasets.utils.file_utils.get_from_cache(url)
# Returns: ConnectionError: Couldn't reach http://github.com/benjaminvdb/DBRD/releases/download/v3.0/DBRD_v3.tgz
```
# Cause
GitHub releases returns a HTTP status 403 (FOUND), indicating that the request is being redirected (to AWS S3, in this case). `get_from_cache()` checks whether the status is 200 (OK) or if it is part of two exceptions (Google Drive or Firebase), otherwise the mentioned error is thrown.
# Solution
Just like the exceptions for Google Drive and Firebase, add a condition for GitHub releases URLs that return the HTTP status 403. If this is the case, continue normally.
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add yelp_review_full
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2020-12-09T15:55:49Z
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This corresponds to the Yelp-5 requested in https://github.com/huggingface/datasets/issues/353
I included the dataset card.
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Add snips built in intents 2016 12
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2020-12-14T09:59:07Z
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2020-12-14T09:59:07Z
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This PR proposes to add the Snips.ai built in intents dataset. The first configuration added is for the intent labels only, but the dataset includes entity slots that may in future be added as alternate configurations.
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Add HateSpeech Corpus for Polish
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2020-12-16T16:48:45Z
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This PR adds a HateSpeech Corpus for Polish, containing offensive language examples.
- **Homepage:** http://zil.ipipan.waw.pl/HateSpeech
- **Paper:** http://www.qualitativesociologyreview.org/PL/Volume38/PSJ_13_2_Troszynski_Wawer.pdf
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Jigsaw toxicity pred
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2020-12-11T12:11:32Z
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Requires manually downloading data from Kaggle.
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Add OPUS Bible Corpus (102 Languages)
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Add OffensEval-TR 2020 Dataset
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2020-12-12T14:15:42Z
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2020-12-09T16:02:06Z
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This PR adds the OffensEval-TR 2020 dataset which is a Turkish offensive language corpus by me and @basakbuluz. The corpus consist of randomly sampled tweets and annotated in a similar way to [OffensEval](https://sites.google.com/site/offensevalsharedtask/) and [GermEval](https://projects.fzai.h-da.de/iggsa/).
- **Homepage:** [offensive-turkish](https://coltekin.github.io/offensive-turkish/)
- **Paper:** [A Corpus of Turkish Offensive Language on Social Media](https://coltekin.github.io/offensive-turkish/troff.pdf)
- **Point of Contact:** [Çağrı Çöltekin]([email protected])
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Add SAMSum Corpus dataset
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2020-12-14T12:32:33Z
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2020-12-14T10:20:55Z
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Did not spent much time writing README, might update later.
Copied description and some stuff from tensorflow_datasets
https://github.com/tensorflow/datasets/blob/master/tensorflow_datasets/summarization/samsum.py
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Add Wiki Lingua Dataset
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2020-12-14T10:39:52Z
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2020-12-14T10:39:52Z
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Hello,
This is my first PR.
I have added Wiki Lingua Dataset along with dataset card to the best of my knowledge.
There was one hiccup though. I was unable to create dummy data because the data is in pkl format.
From the document, I see that:
```At the moment it supports data files in the following format: txt, csv, tsv, jsonl, json, xml```
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adding capes
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2020-12-09T15:40:09Z
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2020-12-09T15:27:45Z
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Adding Parallel corpus of theses and dissertation abstracts in Portuguese and English from CAPES
https://sites.google.com/view/felipe-soares/datasets#h.p_kxOR6EhHm2a6
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add W&I + LOCNESS dataset (BEA-2019 workshop shared task on GEC)
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2020-12-10T09:53:28Z
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- **Name:** W&I + LOCNESS dataset (from the BEA-2019 workshop shared task on GEC)
- **Description:** https://www.cl.cam.ac.uk/research/nl/bea2019st/#data
- **Paper:** https://www.aclweb.org/anthology/W19-4406/
- **Motivation:** This is a recent dataset (actually two in one) for grammatical error correction and is used for benchmarking in this field of NLP.
### Checkbox
- [x] Create the dataset script `/datasets/my_dataset/my_dataset.py` using the template
- [x] Fill the `_DESCRIPTION` and `_CITATION` variables
- [x] Implement `_infos()`, `_split_generators()` and `_generate_examples()`
- [x] Make sure that the `BUILDER_CONFIGS` class attribute is filled with the different configurations of the dataset and that the `BUILDER_CONFIG_CLASS` is specified if there is a custom config class.
- [x] Generate the metadata file `dataset_infos.json` for all configurations
- [x] Generate the dummy data `dummy_data.zip` files to have the dataset script tested and that they don't weigh too much (<50KB)
- [x] Add the dataset card `README.md` using the template : fill the tags and the various paragraphs
- [x] Both tests for the real data and the dummy data pass.
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[README] Added Windows command to enable slow tests
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2020-12-08T13:29:04Z
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The Windows command to run slow tests has caused issues, so this adds a functional Windows command.
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"url": "https://api.github.com/users/patil-suraj"
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|
[] |
closed
| false | null |
[] | null |
[] |
2020-12-08T13:20:54Z
|
2020-12-09T18:02:54Z
|
2020-12-09T18:02:03Z
|
MEMBER
| null | false |
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Adding EiTB-ParCC: Parallel Corpus of Comparable News
http://opus.nlpl.eu/EiTB-ParCC.php
|
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https://api.github.com/repos/huggingface/datasets/issues/1304/timeline
| null | null | true |
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