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README has to be updated. | {
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https://github.com/HaniehP/PersianNER
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} | [] | closed | false | null | [] | null | 18 | 2020-12-13T16:33:46Z | 2020-12-18T16:20:06Z | 2020-12-18T16:17:18Z | CONTRIBUTOR | null | Wiki Summary: Dataset extracted from Persian Wikipedia into the form of articles and highlights.
Link: https://github.com/m3hrdadfi/wiki-summary | {
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I am running my codes on google cloud, and I am getting this error resulting in the failure of the codes when trying to download the data, could you assist me to solve this? also as a temporary solution, could you tell me how I can increase the number of retries and timeout to at least let the models run for now. thanks
```
Traceback (most recent call last):
File "finetune_t5_trainer.py", line 361, in <module>
main()
File "finetune_t5_trainer.py", line 269, in main
add_prefix=False if training_args.train_adapters else True)
File "/workdir/seq2seq/data/tasks.py", line 70, in get_dataset
dataset = self.load_dataset(split=split)
File "/workdir/seq2seq/data/tasks.py", line 306, in load_dataset
return datasets.load_dataset('glue', 'cola', split=split)
File "/usr/local/lib/python3.6/dist-packages/datasets/load.py", line 589, in load_dataset
path, script_version=script_version, download_config=download_config, download_mode=download_mode, dataset=True
File "/usr/local/lib/python3.6/dist-packages/datasets/load.py", line 263, in prepare_module
head_hf_s3(path, filename=name, dataset=dataset)
File "/usr/local/lib/python3.6/dist-packages/datasets/utils/file_utils.py", line 200, in head_hf_s3
return http_head(hf_bucket_url(identifier=identifier, filename=filename, use_cdn=use_cdn, dataset=dataset))
File "/usr/local/lib/python3.6/dist-packages/datasets/utils/file_utils.py", line 403, in http_head
url, proxies=proxies, headers=headers, cookies=cookies, allow_redirects=allow_redirects, timeout=timeout
File "/usr/local/lib/python3.6/dist-packages/requests/api.py", line 104, in head
return request('head', url, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/requests/api.py", line 61, in request
return session.request(method=method, url=url, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/requests/sessions.py", line 542, in request
resp = self.send(prep, **send_kwargs)
File "/usr/local/lib/python3.6/dist-packages/requests/sessions.py", line 655, in send
r = adapter.send(request, **kwargs)
File "/usr/local/lib/python3.6/dist-packages/requests/adapters.py", line 504, in send
raise ConnectTimeout(e, request=request)
requests.exceptions.ConnectTimeout: HTTPSConnectionPool(host='s3.amazonaws.com', port=443): Max retries exceeded with url: /datasets.huggingface.co/datasets/datasets/glue/glue.py (Caused by ConnectTimeoutError(<urllib3.connection.HTTPSConnection object at 0x7f47db511e80>, 'Connection to s3.amazonaws.com timed out. (connect timeout=10)'))
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/1540 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1540/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1540/comments | https://api.github.com/repos/huggingface/datasets/issues/1540/events | https://github.com/huggingface/datasets/pull/1540 | 765,357,702 | MDExOlB1bGxSZXF1ZXN0NTM4OTQ1NDc2 | 1,540 | added TTC4900: A Benchmark Data for Turkish Text Categorization dataset | {
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} | [] | closed | false | null | [] | null | 7 | 2020-12-13T12:43:33Z | 2020-12-18T10:09:01Z | 2020-12-18T10:09:01Z | CONTRIBUTOR | null | This PR adds the TTC4900 dataset which is a Turkish Text Categorization dataset by me and @basakbuluz.
Homepage: [https://www.kaggle.com/savasy/ttc4900](https://www.kaggle.com/savasy/ttc4900)
Point of Contact: [Savaş Yıldırım](mailto:savasy@gmail.com) / @savasy
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https://api.github.com/repos/huggingface/datasets/issues/1539 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1539/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1539/comments | https://api.github.com/repos/huggingface/datasets/issues/1539/events | https://github.com/huggingface/datasets/pull/1539 | 765,338,910 | MDExOlB1bGxSZXF1ZXN0NTM4OTQyMTU4 | 1,539 | Added Wiki Asp dataset | {
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} | [] | closed | false | null | [] | null | 3 | 2020-12-13T12:18:34Z | 2020-12-22T10:16:01Z | 2020-12-22T10:16:01Z | CONTRIBUTOR | null | Hello,
I have added Wiki Asp dataset. Please review the PR. | {
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https://api.github.com/repos/huggingface/datasets/issues/1537 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1537/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1537/comments | https://api.github.com/repos/huggingface/datasets/issues/1537/events | https://github.com/huggingface/datasets/pull/1537 | 765,095,210 | MDExOlB1bGxSZXF1ZXN0NTM4ODY1NzIz | 1,537 | added ohsumed | {
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} | [] | closed | false | null | [] | null | 0 | 2020-12-13T06:58:23Z | 2020-12-17T18:28:16Z | 2020-12-17T18:28:16Z | CONTRIBUTOR | null | UPDATE2: PR passed all tests. Now waiting for review.
UPDATE: pushed a new version. cross fingers that it should complete all the tests! :)
If it passes all tests then it's not a draft version.
This is a draft version | {
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https://api.github.com/repos/huggingface/datasets/issues/1535 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1535/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1535/comments | https://api.github.com/repos/huggingface/datasets/issues/1535/events | https://github.com/huggingface/datasets/pull/1535 | 764,977,542 | MDExOlB1bGxSZXF1ZXN0NTM4ODAwMDUw | 1,535 | Adding Igbo monolingual dataset | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-13T05:16:37Z | 2020-12-21T14:39:49Z | 2020-12-21T14:39:49Z | CONTRIBUTOR | null | This PR adds the Igbo Monolingual dataset.
Data: https://github.com/IgnatiusEzeani/IGBONLP/tree/master/ig_monoling
Paper: https://arxiv.org/abs/2004.00648 | {
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} | [] | closed | false | null | [] | null | 2 | 2020-12-13T03:11:27Z | 2020-12-21T10:40:36Z | 2020-12-21T10:40:36Z | CONTRIBUTOR | null | Parallel Text Corpora for English - Indonesian | {
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This is a new clean PR from [#1322](https://github.com/huggingface/datasets/pull/1322) | {
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Thanks in advance. | {
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See https://homes.cs.washington.edu/~msap/atomic/ | {
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In particular, for:
- Entity recognition
- Relation extraction
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* README.md still to be created. | {
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could you tell me how I can get all unique options of a property of dataset?
for instance in case of boolq, if the user wants to know which unique labels it has, is there a way to access unique labels without getting all training data lables and then forming a set i mean? thanks | {
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Repo: https://github.com/emorynlp/selqa/
Paper: https://arxiv.org/pdf/1606.08513.pdf | {
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The NQ-Open task is currently being used to evaluate submissions to the EfficientQA competition, which is part of the NeurIPS 2020 competition track. | {
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Fix feature format issue
Create dataset_info.json file
Run pytests
Make Style | {
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Mostly has the ABOUT dimension since the others are inferred from other datasets in most cases.
I tried to keep the dummy data small but one of the configs has 140 splits ( > 56KB data) | {
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In redoing the dummy data a few times, I ended up adding a load of files to git. Hopefully this should work. | {
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} | [] | closed | false | null | [] | null | 2 | 2020-12-11T12:19:38Z | 2020-12-19T15:03:39Z | 2020-12-19T15:03:39Z | CONTRIBUTOR | null | Just find it a wee bit odd that in the transformers library `predictions` are those made by the model:
https://github.com/huggingface/transformers/blob/master/src/transformers/trainer_utils.py#L51-L61
While in many datasets metrics they are the ground truth labels:
https://github.com/huggingface/datasets/blob/c3f53792a744ede18d748a1133b6597fdd2d8d18/metrics/accuracy/accuracy.py#L31-L40
Do you think predictions & references should be swapped? I'd be willing to do some refactoring here if you agree. | {
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The statement `json.load()` loads **all the file content in memory**.
In order to avoid this, file content should be parsed **iteratively**, by using the library `ijson` e.g.
I have refactorized the code into a function `_create_json_dummy_data` and I have added some tests. | {
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I am opening a fresh pull request as advised in my original PR https://github.com/huggingface/datasets/pull/1308
Thanks | {
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Removed manual downloading of dataset. | {
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They contain original Japanese, simplified Japanese, and original English (the original text is gotten from en-ja translation corpus). Hence, it can be used not only for Japanese simplification but also for en-ja translation.
- http://www.jnlp.org/SNOW/T15
- http://www.jnlp.org/SNOW/T23 | {
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**Note**: Resubmitted as a clean version of the previous Pull Request(#1419). @SBrandeis @lhoestq | {
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Dataset link- https://raw.githubusercontent.com/taivop/joke-dataset/master/reddit_jokes.json | {
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Reason for creating again -
The reason I had to create the PR again was due to the master rebasing issue. After rebasing the changes, all the previous commits got added to the branch. | {
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Recently my PR for id_nergrit_ner has been accepted and merged to the main branch. The id_nergrit_ner has only one dataset (NER), and this new PR renamed the dataset from id_nergrit_ner to id_nergrit_corpus and added 2 other remaining datasets (Statement Extraction, and Sentiment Analysis.) | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-10T12:36:56Z | 2020-12-17T17:03:32Z | 2020-12-17T16:58:11Z | CONTRIBUTOR | null | HEAD-QA is a multi-choice HEAlthcare Dataset, the questions come from exams to access a specialized position in the
Spanish healthcare system. | {
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https://api.github.com/repos/huggingface/datasets/issues/1454 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1454/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1454/comments | https://api.github.com/repos/huggingface/datasets/issues/1454/events | https://github.com/huggingface/datasets/pull/1454 | 761,199,862 | MDExOlB1bGxSZXF1ZXN0NTM1OTAxNjk4 | 1,454 | Add kinnews_kirnews | {
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} | [] | closed | false | null | [] | null | 1 | 2020-12-10T12:29:08Z | 2020-12-17T18:34:16Z | 2020-12-17T18:34:16Z | CONTRIBUTOR | null | Add kinnews and kirnews | {
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} | [] | closed | false | null | [] | null | 2 | 2020-12-10T12:13:21Z | 2020-12-14T15:00:46Z | 2020-12-14T10:31:24Z | CONTRIBUTOR | null | I addressed the comments on the PR1318 | {
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https://api.github.com/repos/huggingface/datasets/issues/1452 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1452/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1452/comments | https://api.github.com/repos/huggingface/datasets/issues/1452/events | https://github.com/huggingface/datasets/issues/1452 | 761,104,924 | MDU6SXNzdWU3NjExMDQ5MjQ= | 1,452 | SNLI dataset contains labels with value -1 | {
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} | [] | closed | false | null | [] | null | 2 | 2020-12-10T10:16:55Z | 2020-12-10T17:49:55Z | 2020-12-10T17:49:55Z | NONE | null | ```
import datasets
nli_data = datasets.load_dataset("snli")
train_data = nli_data['train']
train_labels = train_data['label']
label_set = set(train_labels)
print(label_set)
```
**Output:**
`{0, 1, 2, -1}` | {
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https://api.github.com/repos/huggingface/datasets/issues/1451 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1451/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1451/comments | https://api.github.com/repos/huggingface/datasets/issues/1451/events | https://github.com/huggingface/datasets/pull/1451 | 761,102,770 | MDExOlB1bGxSZXF1ZXN0NTM1ODIwOTY3 | 1,451 | Add European Center for Disease Control and Preventions's (ECDC) Translation Memory dataset | {
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} | [] | closed | false | null | [] | null | 0 | 2020-12-10T10:14:20Z | 2020-12-11T16:50:09Z | 2020-12-11T16:50:09Z | CONTRIBUTOR | null | ECDC-TM homepage: https://ec.europa.eu/jrc/en/language-technologies/ecdc-translation-memory | {
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https://api.github.com/repos/huggingface/datasets/issues/1450 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1450/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1450/comments | https://api.github.com/repos/huggingface/datasets/issues/1450/events | https://github.com/huggingface/datasets/pull/1450 | 761,102,429 | MDExOlB1bGxSZXF1ZXN0NTM1ODIwNjg0 | 1,450 | Fix version in bible_para | {
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https://api.github.com/repos/huggingface/datasets/issues/1449 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1449/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1449/comments | https://api.github.com/repos/huggingface/datasets/issues/1449/events | https://github.com/huggingface/datasets/pull/1449 | 761,083,210 | MDExOlB1bGxSZXF1ZXN0NTM1ODA0MzEy | 1,449 | add W&I + LOCNESS dataset (BEA-2019 workshop shared task on GEC) [PROPER] | {
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} | [] | closed | false | null | [] | null | 2 | 2020-12-10T09:51:08Z | 2020-12-11T17:07:46Z | 2020-12-11T17:07:46Z | 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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