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https://api.github.com/repos/huggingface/datasets/issues/1309 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1309/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1309/comments | https://api.github.com/repos/huggingface/datasets/issues/1309/events | https://github.com/huggingface/datasets/pull/1309 | 759,501,370 | MDExOlB1bGxSZXF1ZXN0NTM0NDk2NTYx | 1,309 | Add SAMSum Corpus dataset | {
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"also to fix the check_code_quality CI you have to remove the imports of the unused `csv` and `os`",
"@lhoestq Thanks for the review! I have done what you asked, README is also updated. 🤗 \r\nThe CI fails because of the added dependency. I have never used circleCI before, so I am curious how will you solve that?... | 1,607,438,456,000 | 1,607,949,153,000 | 1,607,941,255,000 | CONTRIBUTOR | null | 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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https://api.github.com/repos/huggingface/datasets/issues/1308 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1308/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1308/comments | https://api.github.com/repos/huggingface/datasets/issues/1308/events | https://github.com/huggingface/datasets/pull/1308 | 759,492,953 | MDExOlB1bGxSZXF1ZXN0NTM0NDg5Nzcw | 1,308 | Add Wiki Lingua Dataset | {
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"I am done adding the dataset. Requesting to review and advise.",
"looks like this PR has changes about many other files than the ones for WIki Lingua \r\n\r\nCan you create another branch and another PR please ?",
"Any reason to have english as the default config over the other languages ?",
"> looks like th... | 1,607,437,813,000 | 1,607,942,392,000 | 1,607,942,392,000 | CONTRIBUTOR | null | 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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https://sites.google.com/view/felipe-soares/datasets#h.p_kxOR6EhHm2a6 | {
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"I created a clean PR where I also incorporated the suggested changes here: https://github.com/huggingface/datasets/pull/1449\r\n"
] | 1,607,434,294,000 | 1,607,594,034,000 | 1,607,594,008,000 | CONTRIBUTOR | null | - **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\r\n",
"@lhoestq is it looking alright ? "
] | 1,607,431,851,000 | 1,607,537,116,000 | 1,607,537,116,000 | CONTRIBUTOR | null | **adding arXiv dataset**: arXiv dataset and metadata of 1.7M+ scholarly papers across STEM
dataset link: https://www.kaggle.com/Cornell-University/arxiv | {
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"Closing this since a new pull request has been made. "
] | 1,607,431,670,000 | 1,607,443,745,000 | 1,607,443,745,000 | CONTRIBUTOR | null | WIP
As some tests did not clear! 👎🏼 | {
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"Please if you could tell me more about the error? \r\n\r\n1. Please check the directory you've been working on\r\n2. Check for any typos",
"> Please if you could tell me more about the error?\r\n> \r\n> 1. Please check the directory you've been working on\r\n> 2. Check for any typos\r\n\r\nError happens during t... | 1,607,431,321,000 | 1,608,134,593,000 | 1,608,134,593,000 | NONE | null | FileNotFoundError: Couldn't find file locally at german_legal_entity_recognition/german_legal_entity_recognition.py, or remotely at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/german_legal_entity_recognition/german_legal_entity_recognition.py or https://s3.amazonaws.com/datasets.huggingface.co/datasets/datasets/german_legal_entity_recognition/german_legal_entity_recognition.py
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"merging since the CI is fixed on master"
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"It is not clear how to automatically add the dummy data if the source data is a more complex json format. Should I manually take a fraction of the source data and include it as dummy data?",
"Will tag the dataset and update the dataset card."
] | 1,607,427,610,000 | 1,607,441,272,000 | 1,607,441,272,000 | CONTRIBUTOR | null | 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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21 languages, 210 bitexts | {
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https://api.github.com/repos/huggingface/datasets/issues/1293 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1293/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1293/comments | https://api.github.com/repos/huggingface/datasets/issues/1293/events | https://github.com/huggingface/datasets/pull/1293 | 759,360,113 | MDExOlB1bGxSZXF1ZXN0NTM0Mzc4OTQ0 | 1,293 | add hrenwac_para | {
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https://api.github.com/repos/huggingface/datasets/issues/1292 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1292/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1292/comments | https://api.github.com/repos/huggingface/datasets/issues/1292/events | https://github.com/huggingface/datasets/pull/1292 | 759,354,627 | MDExOlB1bGxSZXF1ZXN0NTM0Mzc0MzQ3 | 1,292 | arXiv dataset added | {
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https://api.github.com/repos/huggingface/datasets/issues/1291 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1291/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1291/comments | https://api.github.com/repos/huggingface/datasets/issues/1291/events | https://github.com/huggingface/datasets/pull/1291 | 759,352,810 | MDExOlB1bGxSZXF1ZXN0NTM0MzcyNzk2 | 1,291 | adding pubmed_qa dataset | {
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} | [] | closed | false | null | [] | [] | 1,607,425,544,000 | 1,607,504,090,000 | 1,607,504,090,000 | CONTRIBUTOR | null | Pubmed QA dataset:
PQA-L(abeled) 1k
PQA-U(labeled) 61.2k
PQA-A(rtifical labeled) 211.3k | {
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https://api.github.com/repos/huggingface/datasets/issues/1290 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1290/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1290/comments | https://api.github.com/repos/huggingface/datasets/issues/1290/events | https://github.com/huggingface/datasets/issues/1290 | 759,339,989 | MDU6SXNzdWU3NTkzMzk5ODk= | 1,290 | imdb dataset cannot be downloaded | {
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"Hi @rabeehk , I am unable to reproduce your problem locally.\r\nCan you try emptying the cache (removing the content of `/idiap/temp/rkarimi/cache_home_1/datasets`) and retry ?",
"Hi,\r\nthanks, I did remove the cache and still the same error here\r\n\r\n```\r\n>>> a = datasets.load_dataset(\"imdb\", split=\"tra... | 1,607,424,456,000 | 1,608,831,489,000 | 1,608,831,489,000 | CONTRIBUTOR | null | hi
please find error below getting imdb train spli:
thanks
`
datasets.load_dataset>>> datasets.load_dataset("imdb", split="train")`
errors
```
cahce dir /idiap/temp/rkarimi/cache_home_1/datasets
cahce dir /idiap/temp/rkarimi/cache_home_1/datasets
Downloading and preparing dataset imdb/plain_text (download: 80.23 MiB, generated: 127.06 MiB, post-processed: Unknown size, total: 207.28 MiB) to /idiap/temp/rkarimi/cache_home_1/datasets/imdb/plain_text/1.0.0/90099cb476936b753383ba2ae6ab2eae419b2e87f71cd5189cb9c8e5814d12a3...
cahce dir /idiap/temp/rkarimi/cache_home_1/datasets
cahce dir /idiap/temp/rkarimi/cache_home_1/datasets/downloads
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/idiap/user/rkarimi/libs/anaconda3/envs/internship/lib/python3.7/site-packages/datasets/load.py", line 611, in load_dataset
ignore_verifications=ignore_verifications,
File "/idiap/user/rkarimi/libs/anaconda3/envs/internship/lib/python3.7/site-packages/datasets/builder.py", line 476, in download_and_prepare
dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
File "/idiap/user/rkarimi/libs/anaconda3/envs/internship/lib/python3.7/site-packages/datasets/builder.py", line 558, in _download_and_prepare
verify_splits(self.info.splits, split_dict)
File "/idiap/user/rkarimi/libs/anaconda3/envs/internship/lib/python3.7/site-packages/datasets/utils/info_utils.py", line 73, in verify_splits
raise NonMatchingSplitsSizesError(str(bad_splits))
datasets.utils.info_utils.NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='unsupervised', num_bytes=67125548, num_examples=50000, dataset_name='imdb'), 'recorded': SplitInfo(name='unsupervised', num_bytes=7486451, num_examples=5628, dataset_name='imdb')}]
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/1289 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1289/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1289/comments | https://api.github.com/repos/huggingface/datasets/issues/1289/events | https://github.com/huggingface/datasets/pull/1289 | 759,333,684 | MDExOlB1bGxSZXF1ZXN0NTM0MzU2ODUw | 1,289 | Jigsaw toxicity classification dataset added | {
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https://api.github.com/repos/huggingface/datasets/issues/1288 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1288/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1288/comments | https://api.github.com/repos/huggingface/datasets/issues/1288/events | https://github.com/huggingface/datasets/pull/1288 | 759,309,457 | MDExOlB1bGxSZXF1ZXN0NTM0MzM2Mzgz | 1,288 | Add CodeSearchNet corpus dataset | {
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"@lhoestq ready for a second review"
] | 1,607,422,070,000 | 1,607,533,528,000 | 1,607,533,528,000 | CONTRIBUTOR | null | This PR adds the CodeSearchNet corpus proxy dataset for semantic code search: https://github.com/github/CodeSearchNet
I have had a few issues, mentioned below. Would appreciate some help on how to solve them.
## Issues generating dataset card
Is there something wrong with my declaration of the dataset features ?
```
features=datasets.Features(
{
"repository_name": datasets.Value("string"),
"func_path_in_repository": datasets.Value("string"),
"func_name": datasets.Value("string"),
"whole_func_string": datasets.Value("string"),
"language": datasets.Value("string"),
"func_code_string": datasets.Value("string"),
"func_code_tokens": datasets.Sequence(datasets.Value("string")),
"func_documentation_string": datasets.Value("string"),
"func_documentation_tokens": datasets.Sequence(datasets.Value("string")),
"split_name": datasets.Value("string"),
"func_code_url": datasets.Value("string"),
# TODO - add licensing info in the examples
}
),
```
When running the streamlite app for tagging the dataset on my machine, I get the following error :
## Issues with dummy data
Due to the unusual structure of the data, I have been unable to generate dummy data automatically.
I tried to generate it manually, but pytests fail when using the manually-generated dummy data ! Pytests work fine when using the real data.
```
============================================================================================== test session starts ==============================================================================================
platform linux -- Python 3.7.9, pytest-6.1.2, py-1.9.0, pluggy-0.13.1
plugins: xdist-2.1.0, forked-1.3.0
collected 1 item
tests/test_dataset_common.py F [100%]
=================================================================================================== FAILURES ====================================================================================================
________________________________________________________________________ LocalDatasetTest.test_load_dataset_all_configs_code_search_net _________________________________________________________________________
self = <tests.test_dataset_common.LocalDatasetTest testMethod=test_load_dataset_all_configs_code_search_net>, dataset_name = 'code_search_net'
@slow
def test_load_dataset_all_configs(self, dataset_name):
configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)
> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True)
tests/test_dataset_common.py:237:
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _
tests/test_dataset_common.py:198: in check_load_dataset
self.parent.assertTrue(len(dataset[split]) > 0)
E AssertionError: False is not true
--------------------------------------------------------------------------------------------- Captured stdout call ----------------------------------------------------------------------------------------------
Downloading and preparing dataset code_search_net/all (download: 1.00 MiB, generated: 1.00 MiB, post-processed: Unknown size, total: 2.00 MiB) to /tmp/tmppx78sj24/code_search_net/all/1.0.0...
Dataset code_search_net downloaded and prepared to /tmp/tmppx78sj24/code_search_net/all/1.0.0. Subsequent calls will reuse this data.
--------------------------------------------------------------------------------------------- Captured stderr call ----------------------------------------------------------------------------------------------
... (irrelevant info - Deprecation warnings)
============================================================================================ short test summary info ============================================================================================
FAILED tests/test_dataset_common.py::LocalDatasetTest::test_load_dataset_all_configs_code_search_net - AssertionError: False is not true
========================================================================================= 1 failed, 4 warnings in 3.00s ========================================================================================
```
## Note : Data structure in S3
The data is stored on S3, and organized by programming languages.
It is stored in the following repository structure:
```
.
├── <language_name> # e.g. python
│ └── final
│ └── jsonl
│ ├── test
│ │ └── <language_name>_test_0.jsonl.gz
│ ├── train
│ │ ├── <language_name>_train_0.jsonl.gz
│ │ ├── <language_name>_train_1.jsonl.gz
│ │ ├── ...
│ │ └── <language_name>_train_n.jsonl.gz
│ └── valid
│ └── <language_name>_valid_0.jsonl.gz
├── <language_name>_dedupe_definitions_v2.pkl
└── <language_name>_licenses.pkl
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/1287 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1287/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1287/comments | https://api.github.com/repos/huggingface/datasets/issues/1287/events | https://github.com/huggingface/datasets/issues/1287 | 759,300,992 | MDU6SXNzdWU3NTkzMDA5OTI= | 1,287 | 'iwslt2017-ro-nl', cannot be downloaded | {
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"the same issue with datasets.load_dataset(\"iwslt2017\", 'iwslt2017-en-nl', split=split), ..... ",
"even with setting master like the following command, still remains \r\n\r\ndatasets.load_dataset(\"iwslt2017\", 'iwslt2017-en-nl', split=\"train\", script_version=\"master\")\r\n",
"Looks like the data has been ... | 1,607,421,415,000 | 1,655,116,893,000 | 1,655,116,893,000 | CONTRIBUTOR | null | Hi
I am trying
`>>> datasets.load_dataset("iwslt2017", 'iwslt2017-ro-nl', split="train")`
getting this error thank you for your help
```
cahce dir /idiap/temp/rkarimi/cache_home_1/datasets
cahce dir /idiap/temp/rkarimi/cache_home_1/datasets
Downloading and preparing dataset iwsl_t217/iwslt2017-ro-nl (download: 314.07 MiB, generated: 39.92 MiB, post-processed: Unknown size, total: 354.00 MiB) to /idiap/temp/rkarimi/cache_home_1/datasets/iwsl_t217/iwslt2017-ro-nl/1.0.0/cca6935a0851a8ceac1202a62c958738bdfa23c57a51bc52ac1c5ebd2aa172cd...
cahce dir /idiap/temp/rkarimi/cache_home_1/datasets
cahce dir /idiap/temp/rkarimi/cache_home_1/datasets/downloads
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/idiap/user/rkarimi/libs/anaconda3/envs/internship/lib/python3.7/site-packages/datasets/load.py", line 611, in load_dataset
ignore_verifications=ignore_verifications,
File "/idiap/user/rkarimi/libs/anaconda3/envs/internship/lib/python3.7/site-packages/datasets/builder.py", line 476, in download_and_prepare
dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
File "/idiap/user/rkarimi/libs/anaconda3/envs/internship/lib/python3.7/site-packages/datasets/builder.py", line 531, in _download_and_prepare
split_generators = self._split_generators(dl_manager, **split_generators_kwargs)
File " /idiap/home/rkarimi/.cache/huggingface/modules/datasets_modules/datasets/iwslt2017/cca6935a0851a8ceac1202a62c958738bdfa23c57a51bc52ac1c5ebd2aa172cd/iwslt2017.py", line 118, in _split_generators
dl_dir = dl_manager.download_and_extract(MULTI_URL)
File "/idiap/user/rkarimi/libs/anaconda3/envs/internship/lib/python3.7/site-packages/datasets/utils/download_manager.py", line 254, in download_and_extract
return self.extract(self.download(url_or_urls))
File "/idiap/user/rkarimi/libs/anaconda3/envs/internship/lib/python3.7/site-packages/datasets/utils/download_manager.py", line 179, in download
num_proc=download_config.num_proc,
File "/idiap/user/rkarimi/libs/anaconda3/envs/internship/lib/python3.7/site-packages/datasets/utils/py_utils.py", line 216, in map_nested
return function(data_struct)
File "/idiap/user/rkarimi/libs/anaconda3/envs/internship/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 308, in cached_path
use_etag=download_config.use_etag,
File "/idiap/user/rkarimi/libs/anaconda3/envs/internship/lib/python3.7/site-packages/datasets/utils/file_utils.py", line 477, in get_from_cache
raise ConnectionError("Couldn't reach {}".format(url))
ConnectionError: Couldn't reach https://wit3.fbk.eu/archive/2017-01-trnmted//texts/DeEnItNlRo/DeEnItNlRo/DeEnItNlRo-DeEnItNlRo.tgz
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/1286 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1286/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1286/comments | https://api.github.com/repos/huggingface/datasets/issues/1286/events | https://github.com/huggingface/datasets/issues/1286 | 759,291,509 | MDU6SXNzdWU3NTkyOTE1MDk= | 1,286 | [libprotobuf FATAL /sentencepiece/src/../third_party/protobuf-lite/google/protobuf/repeated_field.h:1505] CHECK failed: (index) >= (0): terminate called after throwing an instance of 'google::protobuf::FatalException' what(): CHECK failed: (index) >= (0): Aborted | {
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"I remember also getting the same issue for several other translation datasets like all the iwslt2017 group, this is blokcing me and I really need to fix it and I was wondering if you have an idea on this. @lhoestq thanks,. ",
"maybe there is an empty line or something inside these datasets? could you tell me wh... | 1,607,420,655,000 | 1,607,801,782,000 | 1,607,790,156,000 | CONTRIBUTOR | null | Hi
I am getting this error when evaluating on wmt16-ro-en using finetune_trainer.py of huggingface repo. thank for your help
{'epoch': 20.0}
100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 20/20 [00:16<00:00, 1.22it/s]
12/08/2020 10:41:19 - INFO - seq2seq.trainers.trainer - Saving model checkpoint to outputs/experiment/joint/finetune/lr-2e-5
12/08/2020 10:41:24 - INFO - __main__ - {'wmt16-en-ro': Dataset(features: {'src_texts': Value(dtype='string', id=None), 'task': Value(dtype='string', id=None), 'tgt_texts': Value(dtype='string', id=None)}, num_rows: 1998), 'qnli': Dataset(features: {'src_texts': Value(dtype='string', id=None), 'task': Value(dtype='string', id=None), 'tgt_texts': Value(dtype='string', id=None)}, num_rows: 5462), 'scitail': Dataset(features: {'src_texts': Value(dtype='string', id=None), 'task': Value(dtype='string', id=None), 'tgt_texts': Value(dtype='string', id=None)}, num_rows: 1303)}
12/08/2020 10:41:24 - INFO - __main__ - *** Evaluate ***
12/08/2020 10:41:24 - INFO - seq2seq.utils.utils - using task specific params for wmt16-en-ro: {'max_length': 300, 'num_beams': 4}
12/08/2020 10:41:24 - INFO - seq2seq.trainers.trainer - ***** Running Evaluation *****
12/08/2020 10:41:24 - INFO - seq2seq.trainers.trainer - Num examples = 1998
12/08/2020 10:41:24 - INFO - seq2seq.trainers.trainer - Batch size = 64
100%|███████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 32/32 [00:37<00:00, 1.19s/it][libprotobuf FATAL /sentencepiece/src/../third_party/protobuf-lite/google/protobuf/repeated_field.h:1505] CHECK failed: (index) >= (0):
terminate called after throwing an instance of 'google::protobuf::FatalException'
what(): CHECK failed: (index) >= (0):
Aborted
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https://api.github.com/repos/huggingface/datasets/issues/1285 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1285/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1285/comments | https://api.github.com/repos/huggingface/datasets/issues/1285/events | https://github.com/huggingface/datasets/issues/1285 | 759,278,758 | MDU6SXNzdWU3NTkyNzg3NTg= | 1,285 | boolq does not work | {
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"here is the minimal code to reproduce\r\n\r\n`datasets>>> datasets.load_dataset(\"boolq\", \"train\")\r\n\r\nthe errors\r\n\r\n```\r\n`cahce dir /idiap/temp/rkarimi/cache_home_1/datasets\r\ncahce dir /idiap/temp/rkarimi/cache_home_1/datasets\r\nUsing custom data configuration train\r\nDownloading and preparing d... | 1,607,419,727,000 | 1,607,420,830,000 | 1,607,420,830,000 | CONTRIBUTOR | null | Hi
I am getting this error when trying to load boolq, thanks for your help
ts_boolq_default_0.1.0_2987db1f15deaa19500ae24de560eabeaf1f8ef51df88c0470beeec72943bf11.lock
Traceback (most recent call last):
File "finetune_t5_trainer.py", line 274, in <module>
main()
File "finetune_t5_trainer.py", line 147, in main
for task in data_args.tasks]
File "finetune_t5_trainer.py", line 147, in <listcomp>
for task in data_args.tasks]
File "/remote/idiap.svm/user.active/rkarimi/dev/ruse/seq2seq/tasks/tasks.py", line 58, in get_dataset
dataset = self.load_dataset(split=split)
File "/remote/idiap.svm/user.active/rkarimi/dev/ruse/seq2seq/tasks/tasks.py", line 54, in load_dataset
return datasets.load_dataset(self.task.name, split=split)
File "/idiap/user/rkarimi/libs/anaconda3/envs/internship/lib/python3.7/site-packages/datasets/load.py", line 611, in load_dataset
ignore_verifications=ignore_verifications,
File "/idiap/user/rkarimi/libs/anaconda3/envs/internship/lib/python3.7/site-packages/datasets/builder.py", line 476, in download_and_prepare
dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
File "/idiap/user/rkarimi/libs/anaconda3/envs/internship/lib/python3.7/site-packages/datasets/builder.py", line 531, in _download_and_prepare
split_generators = self._split_generators(dl_manager, **split_generators_kwargs)
File " /idiap/home/rkarimi/.cache/huggingface/modules/datasets_modules/datasets/boolq/2987db1f15deaa19500ae24de560eabeaf1f8ef51df88c0470beeec72943bf11/boolq.py", line 74, in _split_generators
downloaded_files = dl_manager.download_custom(urls_to_download, tf.io.gfile.copy)
File "/idiap/user/rkarimi/libs/anaconda3/envs/internship/lib/python3.7/site-packages/datasets/utils/download_manager.py", line 149, in download_custom
custom_download(url, path)
File "/idiap/user/rkarimi/libs/anaconda3/envs/internship/lib/python3.7/site-packages/tensorflow/python/lib/io/file_io.py", line 516, in copy_v2
compat.path_to_bytes(src), compat.path_to_bytes(dst), overwrite)
tensorflow.python.framework.errors_impl.AlreadyExistsError: file already exists
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https://api.github.com/repos/huggingface/datasets/issues/1284 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1284/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1284/comments | https://api.github.com/repos/huggingface/datasets/issues/1284/events | https://github.com/huggingface/datasets/pull/1284 | 759,269,920 | MDExOlB1bGxSZXF1ZXN0NTM0MzAzNDk0 | 1,284 | Update coqa dataset url | {
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} | [] | closed | false | null | [] | [] | 1,607,418,998,000 | 1,607,451,549,000 | 1,607,451,549,000 | CONTRIBUTOR | null | `datasets.stanford.edu` is invalid. | {
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https://api.github.com/repos/huggingface/datasets/issues/1283 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1283/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1283/comments | https://api.github.com/repos/huggingface/datasets/issues/1283/events | https://github.com/huggingface/datasets/pull/1283 | 759,251,457 | MDExOlB1bGxSZXF1ZXN0NTM0Mjg4MDg2 | 1,283 | Add dutch book review dataset | {
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"> Really cool thanks !\r\n> \r\n> I left some (minor) comments\r\n\r\nThank you for your comments! 👍 I went ahead and improved the dataset card using your suggestions and some tweaks of my own. I hope you like it! 😄"
] | 1,607,417,448,000 | 1,607,545,318,000 | 1,607,534,725,000 | CONTRIBUTOR | null | - Name: Dutch Book Review Dataset (DBRD)
- Description: The DBRD (pronounced dee-bird) dataset contains over 110k book reviews along with associated binary sentiment polarity labels and is intended as a benchmark for sentiment classification in Dutch.
- Paper: https://arxiv.org/abs/1910.00896
- Data: https://github.com/benjaminvdb/DBRD
- Motivation: A large (real-life) dataset of Dutch book reviews and sentiment polarity (positive/negative), based on the associated rating.
Checks
- [x] Create the dataset script /datasets/dbrd/dbrd.py using the template
- [x] Fill the _DESCRIPTION and _CITATION variables
- [x] Implement _info(), _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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https://api.github.com/repos/huggingface/datasets/issues/1282 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1282/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1282/comments | https://api.github.com/repos/huggingface/datasets/issues/1282/events | https://github.com/huggingface/datasets/pull/1282 | 759,208,335 | MDExOlB1bGxSZXF1ZXN0NTM0MjQ4NzI5 | 1,282 | add thaiqa_squad | {
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} | [] | closed | false | null | [] | [] | 1,607,415,278,000 | 1,607,452,578,000 | 1,607,452,578,000 | CONTRIBUTOR | null | Example format is a little different from SQuAD since `thaiqa` always have one answer per question so I added a check to convert answers to lists if they are not already one to future-proof additional questions that might have multiple answers.
`thaiqa_squad` is an open-domain, extractive question answering dataset (4,000 questions in `train` and 74 questions in `dev`) in [SQuAD](https://rajpurkar.github.io/SQuAD-explorer/) format, originally created by [NECTEC](https://www.nectec.or.th/en/) from Wikipedia articles and adapted to [SQuAD](https://rajpurkar.github.io/SQuAD-explorer/) format by [PyThaiNLP](https://github.com/PyThaiNLP/). | {
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https://github.com/wenhuchen/HybridQA | {
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"I have added the Readme.md as well, the PR is ready for review. \r\n\r\nThank you ",
"Hi @lhoestq I have updated the code and files. Please if you could check once.\r\n\r\nThank you"
] | 1,607,412,436,000 | 1,607,530,917,000 | 1,607,530,917,000 | CONTRIBUTOR | null | {
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"Updated with Translation feature type. Working on dataset tags and README",
"merging since the CI is fixed on master"
] | 1,607,408,927,000 | 1,607,953,277,000 | 1,607,953,277,000 | CONTRIBUTOR | null | Dataset link : https://figshare.com/articles/ParaPat_The_Multi-Million_Sentences_Parallel_Corpus_of_Patents_Abstracts/12627632
Working on README.md currently | {
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"Seeing this in the CircleCI builds, this is what I was originally getting before I started messing around with the download URLS to try to fix this:\r\n\r\n`FileNotFoundError: [Errno 2] No such file or directory: '/tmp/tmpwvji917g/extracted/d6185140afb24ad8fee67392100a478269cba286b0d88915a137fdf88872de14/dummy_dat... | 1,607,391,955,000 | 1,607,474,775,000 | 1,607,474,775,000 | CONTRIBUTOR | null | `craigslist_bargains` dataset from [here](https://worksheets.codalab.org/worksheets/0x453913e76b65495d8b9730d41c7e0a0c/) | {
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"merging since the CI is fixed on master"
] | 1,607,388,608,000 | 1,607,711,298,000 | 1,607,711,298,000 | CONTRIBUTOR | null | - **Name:** One Million Posts Corpus
- **Description:** The “One Million Posts” corpus is an annotated data set consisting of user comments posted to an Austrian newspaper website (in German language).
- **Paper:** https://dl.acm.org/doi/10.1145/3077136.3080711
- **Data:** https://github.com/OFAI/million-post-corpus
- **Motivation:** Big German (real-life) dataset containing different annotations around forum moderation with expert annotations.
### 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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"Thank you. Okay, I will add the dataset card."
] | 1,607,387,498,000 | 1,607,469,928,000 | 1,607,469,928,000 | CONTRIBUTOR | null | I just added Yoruba GV NER dataset from this paper https://www.aclweb.org/anthology/2020.lrec-1.335/ | {
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"merging since the CI is fixed on master"
] | 1,607,385,405,000 | 1,607,528,168,000 | 1,607,528,168,000 | CONTRIBUTOR | null | Opinion Corpus for Lebanese Arabic Reviews (OCLAR) corpus is utilizable for Arabic sentiment classification on reviews, including hotels, restaurants, shops, and others. : [homepage](http://archive.ics.uci.edu/ml/datasets/Opinion+Corpus+for+Lebanese+Arabic+Reviews+%28OCLAR%29#) | {
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"looks like your PR includes changes about many other files than the ones for wiki_movies\r\n\r\nCan you create another branch and another PR please ?",
"I'm happy to. What's the best way to do that (sorry, I'm new to PRs etc.)?",
"Sure !\r\n\r\nFirst please save your new dataset files somewhere.\r\nThen you ca... | 1,607,384,334,000 | 1,607,954,209,000 | 1,607,954,209,000 | CONTRIBUTOR | null | First PR (ever). Hopefully this movies dataset is useful to others! | {
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} | [] | closed | false | null | [] | [] | 1,607,382,228,000 | 1,607,449,283,000 | 1,607,449,283,000 | CONTRIBUTOR | null | - **Name:** DFKI SmartData Corpus
- **Description:** DFKI SmartData Corpus is a dataset of 2598 German-language documents which has been annotated with fine-grained geo-entities, such as streets, stops and routes, as well as standard named entity types.
- **Paper:** https://www.dfki.de/fileadmin/user_upload/import/9427_lrec_smartdata_corpus.pdf
- **Data:** https://github.com/DFKI-NLP/smartdata-corpus
- **Motivation:** Contains fine-grained NER labels for German.
### 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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"Hi @lhoestq, thanks for the review.\r\nI have made all the changes, PTAL! :) "
] | 1,607,378,711,000 | 1,607,539,418,000 | 1,607,528,033,000 | CONTRIBUTOR | null | This PR adds OneStopEnglish Corpus containing texts classified into reading levels (elementary, intermediate, advance) for automatic readability assessment and text simplification.
Link to the paper: https://www.aclweb.org/anthology/W18-0535.pdf | {
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"Can you run `make style` to fix the code format ?\r\n\r\nAlso it looks like the file `file_downloaded/TWNERTC_TC_Coarse Grained NER_DomainIndependent_NoiseReduction.zip/TWNERTC_TC_Coarse Grained NER_DomainIndependent_NoiseReduction.DUMP` is missing inside the dummy_data.zip\r\n\r\n\r\n(note that `TWNERTC_TC_Coarse... | 1,607,377,226,000 | 1,607,521,505,000 | 1,607,521,505,000 | CONTRIBUTOR | null | {
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"merging since the CI is fixed on master"
] | 1,607,373,123,000 | 1,607,711,142,000 | 1,607,711,142,000 | CONTRIBUTOR | null | {
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"It seems to share the same name as this dataset: https://openreview.net/forum?id=JENSKEEzsoU",
"> It seems to share the same name as this dataset: https://openreview.net/forum?id=JENSKEEzsoU\r\n\r\nyou're right it can be confusing. I'll add the organization/research group for clarity: `covid_qa_castorini`. I add... | 1,607,360,811,000 | 1,607,446,946,000 | 1,607,446,946,000 | CONTRIBUTOR | null | This PR adds CovidQA, a question answering dataset specifically designed for COVID-19, built by hand from knowledge gathered from Kaggle’s COVID-19 Open Research Dataset Challenge.
Link to the paper: https://arxiv.org/pdf/2004.11339.pdf
Link to the homepage: https://covidqa.ai | {
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"I've removed the `en` within `de` and reciprocally; but I don't think I will be able to thin it more than this. (Edit: ignore the close, I missclicked !)"
] | 1,607,360,745,000 | 1,607,533,229,000 | 1,607,533,227,000 | CONTRIBUTOR | null | Rebase of #1206 ! | {
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"Hi! Let me know if any more comments! Will fix it! :-)"
] | 1,607,358,937,000 | 1,607,610,655,000 | 1,607,536,891,000 | CONTRIBUTOR | null | Manual Download of a kaggle dataset. Mostly followed process as ms_terms. | {
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https://api.github.com/repos/huggingface/datasets/issues/1262 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1262/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1262/comments | https://api.github.com/repos/huggingface/datasets/issues/1262/events | https://github.com/huggingface/datasets/pull/1262 | 758,637,124 | MDExOlB1bGxSZXF1ZXN0NTMzNzc3OTcy | 1,262 | Adding msr_genomics_kbcomp dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/1261 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1261/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1261/comments | https://api.github.com/repos/huggingface/datasets/issues/1261/events | https://github.com/huggingface/datasets/pull/1261 | 758,626,112 | MDExOlB1bGxSZXF1ZXN0NTMzNzY4OTgy | 1,261 | Add Google Sentence Compression dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/1260 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1260/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1260/comments | https://api.github.com/repos/huggingface/datasets/issues/1260/events | https://github.com/huggingface/datasets/pull/1260 | 758,601,828 | MDExOlB1bGxSZXF1ZXN0NTMzNzQ4ODM3 | 1,260 | Added NewsPH Raw Dataset | {
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"looks like this PR has changes to many files other than the ones for `NewsPH`\r\n\r\nCan you create another branch and another PR please ?"
] | 1,607,354,273,000 | 1,607,444,835,000 | 1,607,444,835,000 | NONE | null | Added the raw version of the NewsPH dataset, which was used to automatically generate the NewsPH-NLI corpus. Dataset of news articles in Filipino from mainstream Philippine news sites on the internet. Can be used as a language modeling dataset or to reproduce the NewsPH-NLI dataset.
Paper: https://arxiv.org/abs/2010.11574
Repo: https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks | {
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https://api.github.com/repos/huggingface/datasets/issues/1259 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1259/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1259/comments | https://api.github.com/repos/huggingface/datasets/issues/1259/events | https://github.com/huggingface/datasets/pull/1259 | 758,565,320 | MDExOlB1bGxSZXF1ZXN0NTMzNzE4NjMz | 1,259 | Add KorQPair dataset | {
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"dummy data is missing",
"Hey @cceyda, thanks for pointing that out. I thought I'd added it, but seems like that wasn't the case. Just pushed a new commit with the dummy data."
] | 1,607,351,637,000 | 1,640,738,980,000 | 1,607,440,301,000 | CONTRIBUTOR | null | This PR adds a [Korean paired question dataset](https://github.com/songys/Question_pair) containing labels indicating whether two questions in a given pair are semantically identical. This dataset was used to evaluate the performance of [KoGPT2](https://github.com/SKT-AI/KoGPT2#subtask-evaluations) on a phrase detection downstream task. | {
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"Need help"
] | 1,607,351,013,000 | 1,607,436,435,000 | 1,607,436,435,000 | CONTRIBUTOR | null | {
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https://github.com/ilmgut/limit_dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/1254 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1254/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1254/comments | https://api.github.com/repos/huggingface/datasets/issues/1254/events | https://github.com/huggingface/datasets/pull/1254 | 758,518,774 | MDExOlB1bGxSZXF1ZXN0NTMzNjc5MTYy | 1,254 | Added WikiText-TL-39 | {
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"looks like this PR also includes changes about another dataset `covid_qa_deepset`\r\n\r\nCould you create another branch and another PR that only includes the changes for the wikitext-tl-39 dataset ?"
] | 1,607,348,628,000 | 1,607,443,258,000 | 1,607,443,258,000 | NONE | null | This PR adds the WikiText-TL-39 Filipino Language Modeling dataset.
Paper: https://arxiv.org/abs/1907.00409
Repo: https://github.com/jcblaisecruz02/Filipino-Text-Benchmarks | {
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[unnamed dataset](http://pioneer.chula.ac.th/~awirote/Data-Nutcha.zip) by
[Tirasaroj and Aroonmanakun (2012)](http://pioneer.chula.ac.th/~awirote/publications/).
It is used to train NER taggers in [PyThaiNLP](https://github.com/PyThaiNLP/pythainlp).
The NER tags are annotated by [Tirasaroj and Aroonmanakun (2012)]((http://pioneer.chula.ac.th/~awirote/publications/))
for 2,258 sentences and the rest by [@wannaphong](https://github.com/wannaphong/).
The POS tags are done by [PyThaiNLP](https://github.com/PyThaiNLP/pythainlp)'s `perceptron` engine trained on `orchid_ud`.
[@wannaphong](https://github.com/wannaphong/) is now the only maintainer of this dataset. | {
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https://api.github.com/repos/huggingface/datasets/issues/1252 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1252/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1252/comments | https://api.github.com/repos/huggingface/datasets/issues/1252/events | https://github.com/huggingface/datasets/pull/1252 | 758,511,388 | MDExOlB1bGxSZXF1ZXN0NTMzNjczMDcx | 1,252 | Add Naver sentiment movie corpus | {
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> This PR adds the [Naver sentiment movie corpus](https://github.com/e9t/nsmc), a dataset containing Korean movie reviews from Naver, the most commonly used search engine in Korea. This dataset is often used to benchmark models on Korean NLP tasks, as seen in [this paper](https://www.aclweb.org/anthology/2020.lrec-1.199.pdf). | {
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"@lhoestq fixed :)"
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} | [] | closed | false | null | [] | [] | 1,607,346,372,000 | 1,607,438,009,000 | 1,607,438,009,000 | CONTRIBUTOR | null | Nergrit Corpus is a dataset collection for Indonesian Named Entity Recognition, Statement Extraction, and Sentiment Analysis. This PR is only for the Named Entity Recognition. | {
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"It not always practical to use nested `Sequence`. If you have troubles with sequence you can use lists instead. \r\n\r\nFor example\r\n```python\r\n\r\nfeatures=datasets.Features(\r\n {\r\n \"dial_id\": datasets.Value(\"string\"),\r\n \"doc_id\": datasets.Value(\"string\"),\r\n \"domain\": ... | 1,607,344,749,000 | 1,607,962,634,000 | 1,607,962,634,000 | CONTRIBUTOR | null | ### Doc2dial: A Goal-Oriented Document-Grounded Dialogue Dataset v0.9
Once complete this will add the [Doc2dial](https://doc2dial.github.io/data.html) dataset from the generic data sets list. | {
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"looks like this PR includes changes about many files other than the ones for IndoNLU\r\nCould you create another branch and another PR please ?",
"> looks like this PR includes changes about many files other than the ones for IndoNLU\r\n> Could you create another branch and another PR please ?\r\n\r\nOkay I'll m... | 1,607,341,125,000 | 1,607,436,710,000 | 1,607,436,710,000 | CONTRIBUTOR | null | IndoNLU benchmark is a collection of resources for training, evaluating, and analyzing natural language understanding systems for Bahasa Indonesia. It contains 12 datasets. | {
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More info : http://opus.nlpl.eu/Elhuyar.php | {
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"can you also run `make style` to format the code ?",
"I'll come back to this one in sometime :) @lhoestq ",
"Also if you would use `xml.etree.ElementTree` to parse the XML it would be awesome, because right now you're using an external dependency `xmltodict `",
"> Also if you would use xml.etree.ElementTree ... | 1,607,335,035,000 | 1,664,789,983,000 | 1,664,789,983,000 | MEMBER | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1239 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1239/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1239/comments | https://api.github.com/repos/huggingface/datasets/issues/1239/events | https://github.com/huggingface/datasets/pull/1239 | 758,339,593 | MDExOlB1bGxSZXF1ZXN0NTMzNTI4NTU5 | 1,239 | add yelp_review_full dataset | {
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"Moved to https://github.com/huggingface/datasets/pull/1315"
] | 1,607,333,736,000 | 1,607,442,204,000 | 1,607,439,650,000 | CONTRIBUTOR | null | This corresponds to the Yelp-5 requested in https://github.com/huggingface/datasets/issues/353 | {
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https://github.com/google-research-datasets/poem-sentiment | {
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} | [] | closed | false | null | [] | [] | 1,607,332,039,000 | 1,607,434,732,000 | 1,607,434,732,000 | CONTRIBUTOR | null | # AmbigQA: Answering Ambiguous Open-domain Questions Dataset
Adding the [AmbigQA](https://nlp.cs.washington.edu/ambigqa/) dataset as part of the sprint 🎉 (from Open dataset list for Dataset sprint)
Added both the light and full versions (as seen on the dataset homepage)
The json format changes based on the value of one 'type' field, so I set the unavailable field to an empty list. This is explained in the README -> Data Fields
```py
train_light_dataset = load_dataset('./datasets/ambig_qa',"light",split="train")
val_light_dataset = load_dataset('./datasets/ambig_qa',"light",split="validation")
train_full_dataset = load_dataset('./datasets/ambig_qa',"full",split="train")
val_full_dataset = load_dataset('./datasets/ambig_qa',"full",split="validation")
for example in train_light_dataset:
for i,t in enumerate(example['annotations']['type']):
if t =='singleAnswer':
# use the example['annotations']['answer'][i]
# example['annotations']['qaPairs'][i] - > is []
print(example['annotations']['answer'][i])
else:
# use the example['annotations']['qaPairs'][i]
# example['annotations']['answer'][i] - > is []
print(example['annotations']['qaPairs'][i])
```
- [x] All tests passed
- [x] Added dummy data
- [x] Added data card (as much as I could)
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https://api.github.com/repos/huggingface/datasets/issues/1236 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1236/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1236/comments | https://api.github.com/repos/huggingface/datasets/issues/1236/events | https://github.com/huggingface/datasets/pull/1236 | 758,263,012 | MDExOlB1bGxSZXF1ZXN0NTMzNDYzOTg2 | 1,236 | Opus finlex dataset of language pair Finnish and Swedish | {
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More info : http://opus.nlpl.eu/Finlex.php | {
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https://api.github.com/repos/huggingface/datasets/issues/1235 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1235/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1235/comments | https://api.github.com/repos/huggingface/datasets/issues/1235/events | https://github.com/huggingface/datasets/pull/1235 | 758,234,511 | MDExOlB1bGxSZXF1ZXN0NTMzNDM5NDk4 | 1,235 | Wino bias | {
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"Closing this PR because of messed up history and opening another one after discussion with Quentin Lhoest.\r\n"
] | 1,607,325,162,000 | 1,607,633,292,000 | 1,607,633,281,000 | CONTRIBUTOR | null | The PR will fail circleCi tests because of the requirement of manual loading of data. Fresh PR because of messed up history of the previous one. | {
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"@lhoestq I have added the tags they are in separate files for 3 different configs",
"@lhoestq thanks for the review I added your suggested changes.",
"merging since the CI is fixed on master"
] | 1,607,324,714,000 | 1,607,968,154,000 | 1,607,968,154,000 | CONTRIBUTOR | null | Adverse Drug Reaction Data: ADE-Corpus-V2 dataset added configs for different tasks with given data | {
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"@lhoestq I tried manually creating the dummy files. But unfortunately it was raising an error during testing the dummy data (regarding JSON parsing).\r\n\r\nThe JSONs are pretty big so I cannot actually open it without crashing the text editor.\r\n\r\n Do you have any suggestions?",
"@lhoestq I have made all the... | 1,607,320,860,000 | 1,608,471,249,000 | 1,607,525,429,000 | CONTRIBUTOR | null | Add Facebook [Curiosity Dialogs](https://github.com/facebookresearch/curiosity) Dataset. | {
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https://api.github.com/repos/huggingface/datasets/issues/1231 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1231/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1231/comments | https://api.github.com/repos/huggingface/datasets/issues/1231/events | https://github.com/huggingface/datasets/pull/1231 | 758,121,398 | MDExOlB1bGxSZXF1ZXN0NTMzMzQzMzAz | 1,231 | Add Urdu Sentiment Corpus (USC) | {
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old PR #1140 | {
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https://api.github.com/repos/huggingface/datasets/issues/1230 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1230/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1230/comments | https://api.github.com/repos/huggingface/datasets/issues/1230/events | https://github.com/huggingface/datasets/pull/1230 | 758,119,342 | MDExOlB1bGxSZXF1ZXN0NTMzMzQxNTg0 | 1,230 | Add Urdu fake news dataset | {
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"merging since the CI is fixed on master"
] | 1,607,311,190,000 | 1,607,364,295,000 | 1,607,360,274,000 | CONTRIBUTOR | null | @lhoestq opened a clean PR containing only relevant files.
old PR #1125 | {
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https://api.github.com/repos/huggingface/datasets/issues/1229 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1229/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1229/comments | https://api.github.com/repos/huggingface/datasets/issues/1229/events | https://github.com/huggingface/datasets/pull/1229 | 758,100,707 | MDExOlB1bGxSZXF1ZXN0NTMzMzI2OTgw | 1,229 | Muchocine - Spanish movie reviews dataset | {
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"Hi @mapmeld !\r\nhave you had a chance to take a look at my suggestions ?\r\n\r\nFeel free to ping me if you have questions or when you're ready for a review",
"@lhoestq unfortunately I don't have any more information about where the dataset comes from",
"It's fine, you can just add the sections titles back an... | 1,607,307,809,000 | 1,608,545,349,000 | 1,608,545,349,000 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1228 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1228/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1228/comments | https://api.github.com/repos/huggingface/datasets/issues/1228/events | https://github.com/huggingface/datasets/pull/1228 | 758,049,068 | MDExOlB1bGxSZXF1ZXN0NTMzMjg1ODI2 | 1,228 | add opus_100 dataset | {
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"done."
] | 1,607,296,644,000 | 1,607,525,640,000 | 1,607,525,640,000 | CONTRIBUTOR | null | This PR will add [opus100 dataset](http://opus.nlpl.eu/opus-100.php). | {
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https://api.github.com/repos/huggingface/datasets/issues/1227 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1227/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1227/comments | https://api.github.com/repos/huggingface/datasets/issues/1227/events | https://github.com/huggingface/datasets/pull/1227 | 758,049,060 | MDExOlB1bGxSZXF1ZXN0NTMzMjg1ODIx | 1,227 | readme: remove link to Google's responsible AI practices | {
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https://api.github.com/repos/huggingface/datasets/issues/1226 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1226/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1226/comments | https://api.github.com/repos/huggingface/datasets/issues/1226/events | https://github.com/huggingface/datasets/pull/1226 | 758,036,979 | MDExOlB1bGxSZXF1ZXN0NTMzMjc2OTU3 | 1,226 | Add menyo_20k_mt dataset | {
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"looks like your PR includes changes about many other files than the ones for menyo 20k mt\r\nCan you create another branch and another PR please ?",
"Yes, I will"
] | 1,607,292,975,000 | 1,607,628,134,000 | 1,607,628,134,000 | CONTRIBUTOR | null | Add menyo_20k_mt dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/1225 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1225/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1225/comments | https://api.github.com/repos/huggingface/datasets/issues/1225/events | https://github.com/huggingface/datasets/pull/1225 | 758,035,501 | MDExOlB1bGxSZXF1ZXN0NTMzMjc1ODcx | 1,225 | Add Winobias dataset | {
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"Will make another pull request with cleaner history"
] | 1,607,292,500,000 | 1,607,323,559,000 | 1,607,323,250,000 | CONTRIBUTOR | null | Pardon me for different commits with same message. There were conflicts after I rebased master while simultaneously pushing my changes to local repo, hence the duplicate entries. | {
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https://api.github.com/repos/huggingface/datasets/issues/1224 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1224/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1224/comments | https://api.github.com/repos/huggingface/datasets/issues/1224/events | https://github.com/huggingface/datasets/pull/1224 | 758,022,998 | MDExOlB1bGxSZXF1ZXN0NTMzMjY2Njg1 | 1,224 | adding conceptnet5 | {
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"Thank you. I'll make those changes. but I'm having problems trying to push my changes to my fork\r\n",
"Hi, I've removed the TODO, and added a README.md. How do I push these changes?\r\n",
"Also, what docstring are you recommending?\r\n",
"> Hi, I've removed the TODO, and added a README.md. How do I push the... | 1,607,288,813,000 | 1,607,531,896,000 | 1,607,524,637,000 | CONTRIBUTOR | null | Adding the conceptnet5 and omcs txt files used to create the conceptnet5 dataset. Conceptne5 is a common sense dataset. More info can be found here: https://github.com/commonsense/conceptnet5/wiki | {
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https://api.github.com/repos/huggingface/datasets/issues/1223 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1223/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1223/comments | https://api.github.com/repos/huggingface/datasets/issues/1223/events | https://github.com/huggingface/datasets/pull/1223 | 758,022,208 | MDExOlB1bGxSZXF1ZXN0NTMzMjY2MDc4 | 1,223 | 🇸🇪 Added Swedish Reviews dataset for sentiment classification in Sw… | {
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https://api.github.com/repos/huggingface/datasets/issues/1222 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1222/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1222/comments | https://api.github.com/repos/huggingface/datasets/issues/1222/events | https://github.com/huggingface/datasets/pull/1222 | 758,018,953 | MDExOlB1bGxSZXF1ZXN0NTMzMjYzODIx | 1,222 | Add numeric fused head dataset | {
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"> Thanks for adding this @ghomasHudson!\r\n> I added some comments for some of the fields.\r\n> \r\n> Also, I'm not sure about this since I haven't used the library yet, but maybe it's worth adding the identification and resolution as two separate datasets?\r\n\r\nThanks for replying @yanaiela - I hope this will m... | 1,607,287,613,000 | 1,607,426,276,000 | 1,607,426,275,000 | CONTRIBUTOR | null | Adding the [NFH: Numeric Fused Head](https://nlp.biu.ac.il/~lazary/fh/) dataset.
Everything looks sensible and I've included both the identification and resolution tasks. I haven't personally used this dataset in my research so am unable to specify what the default configuration / supervised keys should be.
I've filled out the basic info on the model card to the best of my knowledge but it's a little tricky to understand exactly what the fields represent.
Dataset author: @yanaiela | {
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https://api.github.com/repos/huggingface/datasets/issues/1221 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1221/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1221/comments | https://api.github.com/repos/huggingface/datasets/issues/1221/events | https://github.com/huggingface/datasets/pull/1221 | 758,016,032 | MDExOlB1bGxSZXF1ZXN0NTMzMjYxNjkw | 1,221 | Add HKCanCor | {
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The dummy data included here was manually created, as the original dataset uses a xml-like format (see a copy hosted [here](https://github.com/fcbond/hkcancor/blob/master/sample/d1_v.txt) for example) that requires a few processing steps. | {
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https://api.github.com/repos/huggingface/datasets/issues/1220 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1220/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1220/comments | https://api.github.com/repos/huggingface/datasets/issues/1220/events | https://github.com/huggingface/datasets/pull/1220 | 758,015,894 | MDExOlB1bGxSZXF1ZXN0NTMzMjYxNTgw | 1,220 | add Korean HateSpeech dataset | {
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"It looks like you forgot to `make style` (I forget it a lot too 🤦 )\r\n+ add dummy data",
"hi @cceyda 👋, thanks for the hint! it looks like i've run into some other errors though in `_split_generators` or `_generate_examples`. do you have any idea of what's wrong here? 😅",
"I get the same errors on another... | 1,607,286,689,000 | 1,607,440,869,000 | 1,607,425,542,000 | MEMBER | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1219 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1219/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1219/comments | https://api.github.com/repos/huggingface/datasets/issues/1219/events | https://github.com/huggingface/datasets/pull/1219 | 758,013,368 | MDExOlB1bGxSZXF1ZXN0NTMzMjU5NzMw | 1,219 | Add Korean NER dataset | {
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> This PR adds the [Korean named entity recognition dataset](https://github.com/kmounlp/NER). This dataset has been used in many downstream tasks, such as training [KoBERT](https://github.com/SKTBrain/KoBERT) for NER, as seen in this [KoBERT-CRF implementation](https://github.com/eagle705/pytorch-bert-crf-ner). | {
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https://api.github.com/repos/huggingface/datasets/issues/1218 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1218/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1218/comments | https://api.github.com/repos/huggingface/datasets/issues/1218/events | https://github.com/huggingface/datasets/pull/1218 | 758,009,113 | MDExOlB1bGxSZXF1ZXN0NTMzMjU2NzIz | 1,218 | Add WMT20 MLQE 3 shared tasks | {
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"Thanks for the comments Quentin!\r\nI integrated them",
"It should be ok now!\r\nSorry I wasn't attentive enough.\r\n(tests are currently failing, I understand it's from other datasets)",
"merging since the CI is fixed on master"
] | 1,607,284,752,000 | 1,608,046,050,000 | 1,608,046,049,000 | MEMBER | null | 3 tasks for the WMT 20 MLQE shared tasks -> 3 different datasets
(I re-created #1137 because it was too messy).
Note that in L199 `task3.py`, I used `logging.warning` to print some missing data in the train set. | {
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https://api.github.com/repos/huggingface/datasets/issues/1217 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1217/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1217/comments | https://api.github.com/repos/huggingface/datasets/issues/1217/events | https://github.com/huggingface/datasets/pull/1217 | 758,008,321 | MDExOlB1bGxSZXF1ZXN0NTMzMjU2MjU4 | 1,217 | adding DataCommons fact checking | {
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Had to cheat a bit with the dummy data as the test doesn't recognize `.txt.gz`: had to rename uncompressed files with the `.gz` extension manually without actually compressing | {
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https://api.github.com/repos/huggingface/datasets/issues/1216 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1216/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1216/comments | https://api.github.com/repos/huggingface/datasets/issues/1216/events | https://github.com/huggingface/datasets/pull/1216 | 758,005,982 | MDExOlB1bGxSZXF1ZXN0NTMzMjU0ODE2 | 1,216 | Add limit | {
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"My bad, didn't see this on the open dataset list. Closing this since it overlaps with PR#1256"
] | 1,607,283,978,000 | 1,607,413,931,000 | 1,607,413,931,000 | CONTRIBUTOR | null | This PR adds [LiMiT](https://github.com/ilmgut/limit_dataset), a dataset for literal motion classification/extraction by [Manotas et al., 2020](https://www.aclweb.org/anthology/2020.findings-emnlp.88.pdf). | {
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https://api.github.com/repos/huggingface/datasets/issues/1215 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1215/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1215/comments | https://api.github.com/repos/huggingface/datasets/issues/1215/events | https://github.com/huggingface/datasets/pull/1215 | 758,002,885 | MDExOlB1bGxSZXF1ZXN0NTMzMjUyNjUx | 1,215 | Add irc disentanglement | {
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"looks like this PR includes changes about many files other than the ones for irc_disentanglement\r\n\r\nCould you please create a new branch and create another PR please ?",
"closing in favor of #1586 "
] | 1,607,283,046,000 | 1,608,135,505,000 | 1,608,135,505,000 | CONTRIBUTOR | null | added files for irc disentanglement dataset
was unable to test dummy data as a result of vpn/proxy issues | {
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https://api.github.com/repos/huggingface/datasets/issues/1214 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1214/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1214/comments | https://api.github.com/repos/huggingface/datasets/issues/1214/events | https://github.com/huggingface/datasets/pull/1214 | 758,002,786 | MDExOlB1bGxSZXF1ZXN0NTMzMjUyNTgx | 1,214 | adding medical-questions-pairs dataset | {
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Dataset : https://github.com/curai/medical-question-pair-dataset
Paper : https://drive.google.com/file/d/1CHPGBXkvZuZc8hpr46HeHU6U6jnVze-s/view | {
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https://api.github.com/repos/huggingface/datasets/issues/1213 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1213/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1213/comments | https://api.github.com/repos/huggingface/datasets/issues/1213/events | https://github.com/huggingface/datasets/pull/1213 | 757,983,884 | MDExOlB1bGxSZXF1ZXN0NTMzMjM4NzEz | 1,213 | add taskmaster3 | {
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"(you were unlucky, my rule of thumb for reducing the dummy data is to check whether they're above 50KB and you're at 52KB ^^')",
"> (you were unlucky, my rule of thumb for reducing the dummy data is to check whether they're above 50KB and you're at 52KB ^^')\r\n\r\nOops :(\r\n\r\nThanks for the suggestion, will ... | 1,607,277,363,000 | 1,607,511,910,000 | 1,607,511,629,000 | MEMBER | null | Adding Taskmaster-3 dataset
https://github.com/google-research-datasets/Taskmaster/tree/master/TM-3-2020.
The dataset structure almost same as original dataset with these two changes
1. In original dataset, each `apis` has a `args` filed which is a `dict` with variable keys, which represent the name and value of the args. Here converted that to a `list` of `dict` with keys `arg_name` and `arg_value`. For ex.
```python
args = {"name.movie": "Mulan", "name.theater": ": "Mountain AMC 16"}
```
becomes
```python
[
{
"arg_name": "name.movie",
"arg_value": "Mulan"
},
{
"arg_name": "name.theater",
"arg_value": "Mountain AMC 16"
}
]
```
2. Each `apis` has a `response` which is also a `dict` with variable keys representing response name/type and it's value. As above converted it to `list` of `dict` with keys `response_name` and `response_value`.
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https://api.github.com/repos/huggingface/datasets/issues/1212 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1212/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1212/comments | https://api.github.com/repos/huggingface/datasets/issues/1212/events | https://github.com/huggingface/datasets/pull/1212 | 757,978,795 | MDExOlB1bGxSZXF1ZXN0NTMzMjM1MTky | 1,212 | Add Sanskrit Classic texts in datasets | {
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"merging since the CI is fixed on master"
] | 1,607,275,891,000 | 1,607,367,848,000 | 1,607,367,848,000 | CONTRIBUTOR | null | {
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} | [] | closed | false | null | [] | [] | 1,607,274,410,000 | 1,607,520,996,000 | 1,607,520,996,000 | MEMBER | null | Adds a collection of Spanish corpora that can be useful for pretraining language models.
Following a nice suggestion from @yjernite we provide the user with three main ways to preprocess / load either
* the whole corpus (17GB!)
* one specific sub-corpus
* the whole corpus, but return a single split. this is useful if you want to cache the whole preprocessing step once and interact with individual sub-corpora
See the dataset card for more details.
Ready for review! | {
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https://api.github.com/repos/huggingface/datasets/issues/1210 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1210/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1210/comments | https://api.github.com/repos/huggingface/datasets/issues/1210/events | https://github.com/huggingface/datasets/pull/1210 | 757,966,959 | MDExOlB1bGxSZXF1ZXN0NTMzMjI2NDQ2 | 1,210 | Add XSUM Hallucination Annotations Dataset | {
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"@lhoestq All necessary modifications have been done."
] | 1,607,272,819,000 | 1,608,471,296,000 | 1,608,137,831,000 | CONTRIBUTOR | null | Adding Google [XSum Hallucination Annotations](https://github.com/google-research-datasets/xsum_hallucination_annotations) dataset. | {
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"It's so cool seeing all these datasets fly by and see how they are still of interest. I did my internship at the research group of Liesbeth Augustinus et al. They're a very kind group of people!",
"merging since the CI is fixed on master"
] | 1,607,272,513,000 | 1,607,359,944,000 | 1,607,359,943,000 | MEMBER | null | When trying to add "AfriBooms": https://docs.google.com/spreadsheets/d/12ShVow0M6RavnzbBEabm5j5dv12zBaf0y-niwEPPlo4/edit#gid=1386399609 I noticed that the dataset exists already as a config of Universal Dependencies (universal_dependencies.py). I checked and the data exactly matches so that the new data link does not give any new data.
This PR improves the config's description a bit by linking to the paper. | {
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