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- Webpage/repo: https://... | value:False | value:https://api.github.com/repos/huggingface/datasets/issues/1050 | json:[] | value:1050 | value:Add GoEmotions | value:756166728 | json:[] | value:False | json:{"url": "https://api.github.com/repos/huggingface/datasets/issues/1050/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/1050", "html_url": "https://github.com/huggingface/datasets/pull/1050", "diff_url": "https://github.com/huggingface/datasets/pull/1050.diff", "patch_url": "https://github.com/huggingface/datasets/pull/1050.patch", "merged_at": "2020-12-03T17:30:08Z"} | value:https://api.github.com/repos/huggingface/datasets/issues/1050/events | value:2020-12-03T12:49:53Z | value:https://api.github.com/repos/huggingface/datasets/issues/1050/labels{/name} | json:[] | value:CONTRIBUTOR | value:2020-12-03T17:37:45Z | json:{"login": "joeddav", "id": 9353833, "node_id": "MDQ6VXNlcjkzNTM4MzM=", "avatar_url": "https://avatars.githubusercontent.com/u/9353833?v=4", "gravatar_id": "", "url": "https://api.github.com/users/joeddav", "html_url": "https://github.com/joeddav", "followers_url": "https://api.github.com/users/joeddav/followers", ... | value:MDExOlB1bGxSZXF1ZXN0NTMxNzU1MDQ3 | true | |||||||||
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**Note**: The MNLI tsv file is broken, so this code currently excludes the file. Please suggest other alternative if any @lhoe... | value:False | value:https://api.github.com/repos/huggingface/datasets/issues/1047 | json:[] | value:1047 | value:Add KorNLU | value:756127490 | json:[] | value:False | json:{"url": "https://api.github.com/repos/huggingface/datasets/issues/1047/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/1047", "html_url": "https://github.com/huggingface/datasets/pull/1047", "diff_url": "https://github.com/huggingface/datasets/pull/1047.diff", "patch_url": "https://github.com/huggingface/datasets/pull/1047.patch", "merged_at": null} | value:https://api.github.com/repos/huggingface/datasets/issues/1047/events | value:2020-12-03T11:50:54Z | value:https://api.github.com/repos/huggingface/datasets/issues/1047/labels{/name} | json:[] | value:CONTRIBUTOR | value:2020-12-03T17:17:07Z | json:{"login": "sumanthd17", "id": 28291870, "node_id": "MDQ6VXNlcjI4MjkxODcw", "avatar_url": "https://avatars.githubusercontent.com/u/28291870?v=4", "gravatar_id": "", "url": "https://api.github.com/users/sumanthd17", "html_url": "https://github.com/sumanthd17", "followers_url": "https://api.github.com/users/sumanthd1... | value:MDExOlB1bGxSZXF1ZXN0NTMxNzIyMjk4 | true | |||||||||
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```import datasets
import torch
from datasets import load_dataset ... | value:https://api.github.com/repos/huggingface/datasets/issues/1046 | json:[] | value:1046 | value:Dataset.map() turns tensors into lists? | value:756122709 | json:[] | json:{"blocked_by": 0, "total_blocked_by": 0, "blocking": 0, "total_blocking": 0} | value:False | json:{"url": "https://api.github.com/repos/huggingface/datasets/issues/1046/reactions", "total_count": 4, "+1": 4, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | value:https://api.github.com/repos/huggingface/datasets/issues/1046/events | value:2020-12-03T11:43:46Z | value:https://api.github.com/repos/huggingface/datasets/issues/1046/labels{/name} | json:[] | value:NONE | value:2022-10-05T12:12:41Z | json:{"login": "tombosc", "id": 5270804, "node_id": "MDQ6VXNlcjUyNzA4MDQ=", "avatar_url": "https://avatars.githubusercontent.com/u/5270804?v=4", "gravatar_id": "", "url": "https://api.github.com/users/tombosc", "html_url": "https://github.com/tombosc", "followers_url": "https://api.github.com/users/tombosc/followers", ... | value:MDU6SXNzdWU3NTYxMjI3MDk= | true | ||||||||
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- There's another raw version of the dataset available from tfds. However, they're quite large so I don't have the resources to fully test all the configs for that version yet. We'll try to add it later.
- ~Currently, there are no dummy data for... | value:False | value:https://api.github.com/repos/huggingface/datasets/issues/1042 | json:[] | value:1042 | value:Add Big Patent dataset | value:756097583 | json:[] | value:False | json:{"url": "https://api.github.com/repos/huggingface/datasets/issues/1042/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/1042", "html_url": "https://github.com/huggingface/datasets/pull/1042", "diff_url": "https://github.com/huggingface/datasets/pull/1042.diff", "patch_url": "https://github.com/huggingface/datasets/pull/1042.patch", "merged_at": null} | value:https://api.github.com/repos/huggingface/datasets/issues/1042/events | value:2020-12-03T11:07:59Z | value:https://api.github.com/repos/huggingface/datasets/issues/1042/labels{/name} | json:[] | value:CONTRIBUTOR | value:2020-12-04T04:38:26Z | json:{"login": "mattbui", "id": 46804938, "node_id": "MDQ6VXNlcjQ2ODA0OTM4", "avatar_url": "https://avatars.githubusercontent.com/u/46804938?v=4", "gravatar_id": "", "url": "https://api.github.com/users/mattbui", "html_url": "https://github.com/mattbui", "followers_url": "https://api.github.com/users/mattbui/followers"... | value:MDExOlB1bGxSZXF1ZXN0NTMxNjk3NDU4 | true | |||||||||
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- UN page: https://www.ohchr.org/EN/UDHR/Pages/UDHRIndex.aspx
- Raw data source: https://unicode.org/udhr/index.html
Each instance of the dataset corresponds to one translation of the document. Since there's only one ins... | value:False | value:https://api.github.com/repos/huggingface/datasets/issues/1040 | json:[] | value:1040 | value:Add UN Universal Declaration of Human Rights (UDHR) | value:756050387 | json:[] | value:False | json:{"url": "https://api.github.com/repos/huggingface/datasets/issues/1040/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/1040", "html_url": "https://github.com/huggingface/datasets/pull/1040", "diff_url": "https://github.com/huggingface/datasets/pull/1040.diff", "patch_url": "https://github.com/huggingface/datasets/pull/1040.patch", "merged_at": "2020-12-03T19:20:11Z"} | value:https://api.github.com/repos/huggingface/datasets/issues/1040/events | value:2020-12-03T10:04:58Z | value:https://api.github.com/repos/huggingface/datasets/issues/1040/labels{/name} | json:[] | value:CONTRIBUTOR | value:2020-12-03T19:20:15Z | json:{"login": "joeddav", "id": 9353833, "node_id": "MDQ6VXNlcjkzNTM4MzM=", "avatar_url": "https://avatars.githubusercontent.com/u/9353833?v=4", "gravatar_id": "", "url": "https://api.github.com/users/joeddav", "html_url": "https://github.com/joeddav", "followers_url": "https://api.github.com/users/joeddav/followers", ... | value:MDExOlB1bGxSZXF1ZXN0NTMxNjU4MTU3 | true | |||||||||
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More info:
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More info:
http://qangaroo.cs.ucl.ac.uk/index.html
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The primary objective of our work is to build a large-scale English-Thai dataset for machine translation.
We construct an English-Thai machine translation dataset with over 1 million segment pairs, curated from various sources,
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more info : http://www.cfilt.iitb.ac.in/iitb_parallel/ | value:False | value:https://api.github.com/repos/huggingface/datasets/issues/1032 | json:[] | value:1032 | value:IIT B English to Hindi machine translation dataset | value:755858785 | json:[] | value:False | json:{"url": "https://api.github.com/repos/huggingface/datasets/issues/1032/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/1032", "html_url": "https://github.com/huggingface/datasets/pull/1032", "diff_url": "https://github.com/huggingface/datasets/pull/1032.diff", "patch_url": "https://github.com/huggingface/datasets/pull/1032.patch", "merged_at": null} | value:https://api.github.com/repos/huggingface/datasets/issues/1032/events | value:2020-12-03T05:18:45Z | value:https://api.github.com/repos/huggingface/datasets/issues/1032/labels{/name} | json:[] | value:CONTRIBUTOR | value:2021-01-10T08:44:51Z | json:{"login": "spatil6", "id": 6419011, "node_id": "MDQ6VXNlcjY0MTkwMTE=", "avatar_url": "https://avatars.githubusercontent.com/u/6419011?v=4", "gravatar_id": "", "url": "https://api.github.com/users/spatil6", "html_url": "https://github.com/spatil6", "followers_url": "https://api.github.com/users/spatil6/followers", ... | value:MDExOlB1bGxSZXF1ZXN0NTMxNDk2MTU2 | true | |||||||||
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More info:
https://github.com/nyu-mll/crows-pairs/
https://arxiv.org/pdf/2010.00133.pdf | value:False | value:https://api.github.com/repos/huggingface/datasets/issues/1031 | json:[] | value:1031 | value:add crows_pairs | value:755844004 | json:[] | value:False | json:{"url": "https://api.github.com/repos/huggingface/datasets/issues/1031/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/1031", "html_url": "https://github.com/huggingface/datasets/pull/1031", "diff_url": "https://github.com/huggingface/datasets/pull/1031.diff", "patch_url": "https://github.com/huggingface/datasets/pull/1031.patch", "merged_at": "2020-12-03T18:29:39Z"} | value:https://api.github.com/repos/huggingface/datasets/issues/1031/events | value:2020-12-03T05:05:11Z | value:https://api.github.com/repos/huggingface/datasets/issues/1031/labels{/name} | json:[] | value:CONTRIBUTOR | value:2020-12-03T18:29:52Z | json:{"login": "patil-suraj", "id": 27137566, "node_id": "MDQ6VXNlcjI3MTM3NTY2", "avatar_url": "https://avatars.githubusercontent.com/u/27137566?v=4", "gravatar_id": "", "url": "https://api.github.com/users/patil-suraj", "html_url": "https://github.com/patil-suraj", "followers_url": "https://api.github.com/users/patil-... | value:MDExOlB1bGxSZXF1ZXN0NTMxNDgyMzEy | true | |||||||||
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- **Description:** *Allegro Reviews is a sentiment analysis dataset, consisting of 11,588 product reviews written in Polish and extracted from Allegro.pl - a popular e-commerce marketplace. Each review contains at least 50 words and has a rating on a scale from one (negative review)... | value:False | value:https://api.github.com/repos/huggingface/datasets/issues/1030 | json:[] | value:1030 | value:allegro_reviews dataset | value:755777438 | json:[] | value:False | json:{"url": "https://api.github.com/repos/huggingface/datasets/issues/1030/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/1030", "html_url": "https://github.com/huggingface/datasets/pull/1030", "diff_url": "https://github.com/huggingface/datasets/pull/1030.diff", "patch_url": "https://github.com/huggingface/datasets/pull/1030.patch", "merged_at": "2020-12-03T16:34:46Z"} | value:https://api.github.com/repos/huggingface/datasets/issues/1030/events | value:2020-12-03T03:11:39Z | value:https://api.github.com/repos/huggingface/datasets/issues/1030/labels{/name} | json:[] | value:CONTRIBUTOR | value:2020-12-04T10:56:29Z | json:{"login": "abecadel", "id": 1654113, "node_id": "MDQ6VXNlcjE2NTQxMTM=", "avatar_url": "https://avatars.githubusercontent.com/u/1654113?v=4", "gravatar_id": "", "url": "https://api.github.com/users/abecadel", "html_url": "https://github.com/abecadel", "followers_url": "https://api.github.com/users/abecadel/follower... | value:MDExOlB1bGxSZXF1ZXN0NTMxNDI0MDM3 | true | |||||||||
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One config for the simplification data, one for the human ratings of quality.
The README.md borrows from that written by @juand-r | value:False | value:https://api.github.com/repos/huggingface/datasets/issues/1028 | json:[] | value:1028 | value:Add ASSET dataset for text simplification evaluation | value:755712854 | json:[] | value:False | json:{"url": "https://api.github.com/repos/huggingface/datasets/issues/1028/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/1028", "html_url": "https://github.com/huggingface/datasets/pull/1028", "diff_url": "https://github.com/huggingface/datasets/pull/1028.diff", "patch_url": "https://github.com/huggingface/datasets/pull/1028.patch", "merged_at": "2020-12-03T16:34:37Z"} | value:https://api.github.com/repos/huggingface/datasets/issues/1028/events | value:2020-12-03T00:28:29Z | value:https://api.github.com/repos/huggingface/datasets/issues/1028/labels{/name} | json:[] | value:MEMBER | value:2020-12-17T10:03:06Z | json:{"login": "yjernite", "id": 10469459, "node_id": "MDQ6VXNlcjEwNDY5NDU5", "avatar_url": "https://avatars.githubusercontent.com/u/10469459?v=4", "gravatar_id": "", "url": "https://api.github.com/users/yjernite", "html_url": "https://github.com/yjernite", "followers_url": "https://api.github.com/users/yjernite/follow... | value:MDExOlB1bGxSZXF1ZXN0NTMxMzc0MTYw | true | |||||||||
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- **Name:** *name of the dataset*
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- **Paper:** *link to the dataset paper if available*
- **Data:** *link to the Github repository or current dataset location*
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- Webpage: https://allenai.org/data/zest
- Paper: https://arxiv.org/abs/2011.08115
The nature of this dataset made the supported task tags tricky if you wouldn't mind giving any feedback @yjernite. Also let me know if you think we... | value:False | value:https://api.github.com/repos/huggingface/datasets/issues/1024 | json:[] | value:1024 | value:Add ZEST: ZEroShot learning from Task descriptions | value:755664113 | json:[] | value:False | json:{"url": "https://api.github.com/repos/huggingface/datasets/issues/1024/reactions", "total_count": 2, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 2, "eyes": 0} | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/1024", "html_url": "https://github.com/huggingface/datasets/pull/1024", "diff_url": "https://github.com/huggingface/datasets/pull/1024.diff", "patch_url": "https://github.com/huggingface/datasets/pull/1024.patch", "merged_at": "2020-12-03T16:09:14Z"} | value:https://api.github.com/repos/huggingface/datasets/issues/1024/events | value:2020-12-02T22:41:20Z | value:https://api.github.com/repos/huggingface/datasets/issues/1024/labels{/name} | json:[] | value:CONTRIBUTOR | value:2020-12-03T19:21:00Z | json:{"login": "joeddav", "id": 9353833, "node_id": "MDQ6VXNlcjkzNTM4MzM=", "avatar_url": "https://avatars.githubusercontent.com/u/9353833?v=4", "gravatar_id": "", "url": "https://api.github.com/users/joeddav", "html_url": "https://github.com/joeddav", "followers_url": "https://api.github.com/users/joeddav/followers", ... | value:MDExOlB1bGxSZXF1ZXN0NTMxMzMzOTc5 | true | |||||||||
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- https://github.com/google-research-datasets/dstc8-schema-guided-dialogue
A bit simpler than MultiWOZ, the only tricky thing is the sequence of dictionaries that had to be linearized. There is a config for the data proper, and a ... | value:False | value:https://api.github.com/repos/huggingface/datasets/issues/1023 | json:[] | value:1023 | value:Add Schema Guided Dialogue dataset | value:755655752 | json:[] | value:False | json:{"url": "https://api.github.com/repos/huggingface/datasets/issues/1023/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/1023", "html_url": "https://github.com/huggingface/datasets/pull/1023", "diff_url": "https://github.com/huggingface/datasets/pull/1023.diff", "patch_url": "https://github.com/huggingface/datasets/pull/1023.patch", "merged_at": "2020-12-03T01:18:01Z"} | value:https://api.github.com/repos/huggingface/datasets/issues/1023/events | value:2020-12-02T22:26:01Z | value:https://api.github.com/repos/huggingface/datasets/issues/1023/labels{/name} | json:[] | value:MEMBER | value:2020-12-03T01:18:01Z | json:{"login": "yjernite", "id": 10469459, "node_id": "MDQ6VXNlcjEwNDY5NDU5", "avatar_url": "https://avatars.githubusercontent.com/u/10469459?v=4", "gravatar_id": "", "url": "https://api.github.com/users/yjernite", "html_url": "https://github.com/yjernite", "followers_url": "https://api.github.com/users/yjernite/follow... | value:MDExOlB1bGxSZXF1ZXN0NTMxMzI3MTMy | true | |||||||||
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out of distribution generalization
Framed as extractive question answering
Dataset is the concatenation (of subsets) of existing QA datasets processed to match the SQuAD format | value:False | value:https://api.github.com/repos/huggingface/datasets/issues/1022 | json:[] | value:1022 | value:add MRQA | value:755651377 | json:[] | value:False | json:{"url": "https://api.github.com/repos/huggingface/datasets/issues/1022/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/1022", "html_url": "https://github.com/huggingface/datasets/pull/1022", "diff_url": "https://github.com/huggingface/datasets/pull/1022.diff", "patch_url": "https://github.com/huggingface/datasets/pull/1022.patch", "merged_at": "2020-12-04T00:34:24Z"} | value:https://api.github.com/repos/huggingface/datasets/issues/1022/events | value:2020-12-02T22:17:56Z | value:https://api.github.com/repos/huggingface/datasets/issues/1022/labels{/name} | json:[] | value:CONTRIBUTOR | value:2020-12-04T00:34:26Z | json:{"login": "VictorSanh", "id": 16107619, "node_id": "MDQ6VXNlcjE2MTA3NjE5", "avatar_url": "https://avatars.githubusercontent.com/u/16107619?v=4", "gravatar_id": "", "url": "https://api.github.com/users/VictorSanh", "html_url": "https://github.com/VictorSanh", "followers_url": "https://api.github.com/users/VictorSan... | value:MDExOlB1bGxSZXF1ZXN0NTMxMzIzNTkw | true | |||||||||
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Added the `README.md` card with tags to the best of my knowledge
Multi-target summaries or TLDRs of Scientific Documents
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More info:
https://github.com/LC-John/Yahoo-Answers-Topic-Classification-Dataset
cc @joeddav, @yjernite | value:False | value:https://api.github.com/repos/huggingface/datasets/issues/1006 | json:[] | value:1006 | value:add yahoo_answers_topics | value:755362766 | json:[] | value:False | json:{"url": "https://api.github.com/repos/huggingface/datasets/issues/1006/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/1006", "html_url": "https://github.com/huggingface/datasets/pull/1006", "diff_url": "https://github.com/huggingface/datasets/pull/1006.diff", "patch_url": "https://github.com/huggingface/datasets/pull/1006.patch", "merged_at": "2020-12-02T18:01:32Z"} | value:https://api.github.com/repos/huggingface/datasets/issues/1006/events | value:2020-12-02T15:16:13Z | value:https://api.github.com/repos/huggingface/datasets/issues/1006/labels{/name} | json:[] | value:CONTRIBUTOR | value:2020-12-03T16:44:38Z | json:{"login": "patil-suraj", "id": 27137566, "node_id": "MDQ6VXNlcjI3MTM3NTY2", "avatar_url": "https://avatars.githubusercontent.com/u/27137566?v=4", "gravatar_id": "", "url": "https://api.github.com/users/patil-suraj", "html_url": "https://github.com/patil-suraj", "followers_url": "https://api.github.com/users/patil-... | value:MDExOlB1bGxSZXF1ZXN0NTMxMDg3NTIy | true | |||||||||
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I want to use multiple large datasets with a mapping style dataloader, where they cannot fit into memory, could you tell me how you handled the datasets under the hood? is this you bring all in memory in case of mapping style ones? or is this some sharding under the hood and you bring in memory when necessary... | value:https://api.github.com/repos/huggingface/datasets/issues/1004 | json:[] | value:1004 | value:how large datasets are handled under the hood | value:755325368 | json:[] | json:{"blocked_by": 0, "total_blocked_by": 0, "blocking": 0, "total_blocking": 0} | value:False | json:{"url": "https://api.github.com/repos/huggingface/datasets/issues/1004/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | value:https://api.github.com/repos/huggingface/datasets/issues/1004/events | value:2020-12-02T14:32:40Z | value:https://api.github.com/repos/huggingface/datasets/issues/1004/labels{/name} | json:[] | value:NONE | value:2022-10-05T12:13:29Z | json:{"login": "rabeehkarimimahabadi", "id": 73364383, "node_id": "MDQ6VXNlcjczMzY0Mzgz", "avatar_url": "https://avatars.githubusercontent.com/u/73364383?v=4", "gravatar_id": "", "url": "https://api.github.com/users/rabeehkarimimahabadi", "html_url": "https://github.com/rabeehkarimimahabadi", "followers_url": "https://... | value:MDU6SXNzdWU3NTUzMjUzNjg= | true | ||||||||
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github repo: https://github.com/yaolu/Multi-XScience
paper: [Multi-XScience: A Large-scale Dataset for Extreme Multi-document Summarization of Scientific Articles](https://arxiv.org/abs/2010.14235) | value:False | value:https://api.github.com/repos/huggingface/datasets/issues/1003 | json:[] | value:1003 | value:Add multi_x_science_sum | value:755310318 | json:[] | value:False | json:{"url": "https://api.github.com/repos/huggingface/datasets/issues/1003/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/1003", "html_url": "https://github.com/huggingface/datasets/pull/1003", "diff_url": "https://github.com/huggingface/datasets/pull/1003.diff", "patch_url": "https://github.com/huggingface/datasets/pull/1003.patch", "merged_at": "2020-12-02T17:39:05Z"} | value:https://api.github.com/repos/huggingface/datasets/issues/1003/events | value:2020-12-02T14:14:01Z | value:https://api.github.com/repos/huggingface/datasets/issues/1003/labels{/name} | json:[] | value:CONTRIBUTOR | value:2020-12-02T17:39:05Z | json:{"login": "moussaKam", "id": 28675016, "node_id": "MDQ6VXNlcjI4Njc1MDE2", "avatar_url": "https://avatars.githubusercontent.com/u/28675016?v=4", "gravatar_id": "", "url": "https://api.github.com/users/moussaKam", "html_url": "https://github.com/moussaKam", "followers_url": "https://api.github.com/users/moussaKam/fo... | value:MDExOlB1bGxSZXF1ZXN0NTMxMDQ1NDcy | true | |||||||||
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This contains 13 datasets:
code_x_glue_cc_clone_detection_big_clone_bench
code_x_glue_cc_clone_detection_poj_104
code_x_glue_cc_cloze_testing_all
code_x_glue_cc_cloze_testing_maxmin
code_x_glue_cc_code_completion_line
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Downloading and preparing dataset cnn_dailymail/3.0.0 (download: 558.32 MiB, generated: 1.28 GiB, post-processed: Unknown size, total: 1.82 GiB) to /root/.cache/huggingface/datasets/cnn_dailymail/3.0.0/3.0.0/0128610a44e10f25b4af6689441c72af86205282d26399642f7db38fa7535602...
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After trying to load the dataset, I am getting the following error:
`ConnectionError: Couldn't reach https://amazon-reviews-ml.s3-us-west-2.amazonaws.com/json/train/dataset_fr_train.json
`
I used the following code to load the dataset:
`load_dataset(
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More info here : http://www.macs.hw.ac.uk/InteractionLab/E2E/
### 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 `_... | value:False | value:https://api.github.com/repos/huggingface/datasets/issues/990 | json:[] | value:990 | value:Add E2E NLG | value:755097798 | json:[] | value:False | json:{"url": "https://api.github.com/repos/huggingface/datasets/issues/990/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/990", "html_url": "https://github.com/huggingface/datasets/pull/990", "diff_url": "https://github.com/huggingface/datasets/pull/990.diff", "patch_url": "https://github.com/huggingface/datasets/pull/990.patch", "merged_at": "2020-12-03T13:08:04Z"} | value:https://api.github.com/repos/huggingface/datasets/issues/990/events | value:2020-12-02T09:25:12Z | value:https://api.github.com/repos/huggingface/datasets/issues/990/labels{/name} | json:[] | value:MEMBER | value:2020-12-03T13:08:05Z | json:{"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers"... | value:MDExOlB1bGxSZXF1ZXN0NTMwODc1NDYx | true | |||||||||
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I am dealing with large-scale datasets which I need to train distributedly, I used the shard function to divide the dataset across the cores, without any sampler, this does not work for distributed training and does not become any faster than 1 TPU core. 1) how I can make sure data is not loaded in memory 2) ... | value:https://api.github.com/repos/huggingface/datasets/issues/988 | json:[] | value:988 | value:making sure datasets are not loaded in memory and distributed training of them | value:755069159 | json:[] | json:{"blocked_by": 0, "total_blocked_by": 0, "blocking": 0, "total_blocking": 0} | value:False | json:{"url": "https://api.github.com/repos/huggingface/datasets/issues/988/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | value:https://api.github.com/repos/huggingface/datasets/issues/988/events | value:2020-12-02T08:45:15Z | value:https://api.github.com/repos/huggingface/datasets/issues/988/labels{/name} | json:[] | value:CONTRIBUTOR | value:2022-10-05T13:00:42Z | json:{"login": "rabeehk", "id": 6278280, "node_id": "MDQ6VXNlcjYyNzgyODA=", "avatar_url": "https://avatars.githubusercontent.com/u/6278280?v=4", "gravatar_id": "", "url": "https://api.github.com/users/rabeehk", "html_url": "https://github.com/rabeehk", "followers_url": "https://api.github.com/users/rabeehk/followers", ... | value:MDU6SXNzdWU3NTUwNjkxNTk= | true | ||||||||
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Added README card with tags to the best of my knowledge
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continuing from https://github.com/huggingface/datasets/pull/954
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It was a pretty big chunk of work to figure out the structure, so I stil have tol add the description to the README.md
On the plus side the structure is broadly similar t... | value:False | value:https://api.github.com/repos/huggingface/datasets/issues/979 | json:[] | value:979 | value:[WIP] Add multi woz | value:754893337 | json:[] | value:False | json:{"url": "https://api.github.com/repos/huggingface/datasets/issues/979/reactions", "total_count": 1, "+1": 1, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/979", "html_url": "https://github.com/huggingface/datasets/pull/979", "diff_url": "https://github.com/huggingface/datasets/pull/979.diff", "patch_url": "https://github.com/huggingface/datasets/pull/979.patch", "merged_at": "2020-12-02T16:07:16Z"} | value:https://api.github.com/repos/huggingface/datasets/issues/979/events | value:2020-12-02T03:05:42Z | value:https://api.github.com/repos/huggingface/datasets/issues/979/labels{/name} | json:[] | value:MEMBER | value:2020-12-02T16:07:16Z | json:{"login": "yjernite", "id": 10469459, "node_id": "MDQ6VXNlcjEwNDY5NDU5", "avatar_url": "https://avatars.githubusercontent.com/u/10469459?v=4", "gravatar_id": "", "url": "https://api.github.com/users/yjernite", "html_url": "https://github.com/yjernite", "followers_url": "https://api.github.com/users/yjernite/follow... | value:MDExOlB1bGxSZXF1ZXN0NTMwNzA4OTA5 | true | |||||||||
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Millions of open-source projects with numerous bug fixes
are available in code repositories. This proliferation
of software development histories can be leveraged to
learn how to fix common programming bugs
Code refinement aims to automatically fix bugs in the code,
which can contribute to redu... | value:False | value:https://api.github.com/repos/huggingface/datasets/issues/978 | json:[] | value:978 | value:Add code refinement | value:754854478 | json:[] | value:False | json:{"url": "https://api.github.com/repos/huggingface/datasets/issues/978/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/978", "html_url": "https://github.com/huggingface/datasets/pull/978", "diff_url": "https://github.com/huggingface/datasets/pull/978.diff", "patch_url": "https://github.com/huggingface/datasets/pull/978.patch", "merged_at": null} | value:https://api.github.com/repos/huggingface/datasets/issues/978/events | value:2020-12-02T01:29:58Z | value:https://api.github.com/repos/huggingface/datasets/issues/978/labels{/name} | json:[] | value:CONTRIBUTOR | value:2020-12-07T01:52:58Z | json:{"login": "reshinthadithyan", "id": 36307201, "node_id": "MDQ6VXNlcjM2MzA3MjAx", "avatar_url": "https://avatars.githubusercontent.com/u/36307201?v=4", "gravatar_id": "", "url": "https://api.github.com/users/reshinthadithyan", "html_url": "https://github.com/reshinthadithyan", "followers_url": "https://api.github.c... | value:MDExOlB1bGxSZXF1ZXN0NTMwNjc4NTUy | true | |||||||||
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Reasoning over paragraph effects in situations - testing a system's ability to apply knowledge from a passage of text to a new situation. The task is framed into a reading comprehension task following squad-style extractive qa.
One thing to note: labels of the test set are hidden (leaderboard s... | value:False | value:https://api.github.com/repos/huggingface/datasets/issues/977 | json:[] | value:977 | value:Add ROPES dataset | value:754839594 | json:[] | value:False | json:{"url": "https://api.github.com/repos/huggingface/datasets/issues/977/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/977", "html_url": "https://github.com/huggingface/datasets/pull/977", "diff_url": "https://github.com/huggingface/datasets/pull/977.diff", "patch_url": "https://github.com/huggingface/datasets/pull/977.patch", "merged_at": "2020-12-02T10:58:35Z"} | value:https://api.github.com/repos/huggingface/datasets/issues/977/events | value:2020-12-02T00:52:10Z | value:https://api.github.com/repos/huggingface/datasets/issues/977/labels{/name} | json:[] | value:CONTRIBUTOR | value:2020-12-02T10:58:36Z | json:{"login": "VictorSanh", "id": 16107619, "node_id": "MDQ6VXNlcjE2MTA3NjE5", "avatar_url": "https://avatars.githubusercontent.com/u/16107619?v=4", "gravatar_id": "", "url": "https://api.github.com/users/VictorSanh", "html_url": "https://github.com/VictorSanh", "followers_url": "https://api.github.com/users/VictorSan... | value:MDExOlB1bGxSZXF1ZXN0NTMwNjY2ODg3 | true | |||||||||
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Sentence completion given a few sentences as context from a children's book. | value:False | value:https://api.github.com/repos/huggingface/datasets/issues/972 | json:[] | value:972 | value:Add Children's Book Test (CBT) dataset | value:754787314 | json:[] | value:False | json:{"url": "https://api.github.com/repos/huggingface/datasets/issues/972/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/972", "html_url": "https://github.com/huggingface/datasets/pull/972", "diff_url": "https://github.com/huggingface/datasets/pull/972.diff", "patch_url": "https://github.com/huggingface/datasets/pull/972.patch", "merged_at": null} | value:https://api.github.com/repos/huggingface/datasets/issues/972/events | value:2020-12-01T22:53:26Z | value:https://api.github.com/repos/huggingface/datasets/issues/972/labels{/name} | json:[] | value:MEMBER | value:2021-03-19T11:30:03Z | json:{"login": "thomwolf", "id": 7353373, "node_id": "MDQ6VXNlcjczNTMzNzM=", "avatar_url": "https://avatars.githubusercontent.com/u/7353373?v=4", "gravatar_id": "", "url": "https://api.github.com/users/thomwolf", "html_url": "https://github.com/thomwolf", "followers_url": "https://api.github.com/users/thomwolf/follower... | value:MDExOlB1bGxSZXF1ZXN0NTMwNjI0NTI3 | true | |||||||||
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https://github.com/chaojiang06/wiki-auto
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- [x] Ran the tests successfully
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More information can be found [here](https://webnlg-challenge.loria.fr/)
Unfortunately, the data itself comes from a pretty large number of small XML files, so the dummy data ends up being quite large (8... | value:False | value:https://api.github.com/repos/huggingface/datasets/issues/964 | json:[] | value:964 | value:Adding the WebNLG dataset | value:754474660 | json:[] | value:False | json:{"url": "https://api.github.com/repos/huggingface/datasets/issues/964/reactions", "total_count": 0, "+1": 0, "-1": 0, "laugh": 0, "hooray": 0, "confused": 0, "heart": 0, "rocket": 0, "eyes": 0} | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/964", "html_url": "https://github.com/huggingface/datasets/pull/964", "diff_url": "https://github.com/huggingface/datasets/pull/964.diff", "patch_url": "https://github.com/huggingface/datasets/pull/964.patch", "merged_at": "2020-12-02T17:34:05Z"} | value:https://api.github.com/repos/huggingface/datasets/issues/964/events | value:2020-12-01T15:05:23Z | value:https://api.github.com/repos/huggingface/datasets/issues/964/labels{/name} | json:[] | value:MEMBER | value:2020-12-02T17:34:05Z | json:{"login": "yjernite", "id": 10469459, "node_id": "MDQ6VXNlcjEwNDY5NDU5", "avatar_url": "https://avatars.githubusercontent.com/u/10469459?v=4", "gravatar_id": "", "url": "https://api.github.com/users/yjernite", "html_url": "https://github.com/yjernite", "followers_url": "https://api.github.com/users/yjernite/follow... | value:MDExOlB1bGxSZXF1ZXN0NTMwMzY4OTAy | true | |||||||||
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More info:
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I am dealing with multiple datasets, I need to have a dataloader over them with a condition that in each batch data samples are coming from one of the datasets. My main question is:
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The prachathai-67k dataset was scraped from the news site Prachathai.
We filtered out those articles with less than 500 characters of body text, mostly images and cartoons.
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