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https://api.github.com/repos/huggingface/datasets/issues/1855 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1855/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1855/comments | https://api.github.com/repos/huggingface/datasets/issues/1855/events | https://github.com/huggingface/datasets/pull/1855 | 805,256,579 | MDExOlB1bGxSZXF1ZXN0NTcwODkzNDY3 | 1,855 | Minor fix in the docs | {
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https://api.github.com/repos/huggingface/datasets/issues/1854 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1854/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1854/comments | https://api.github.com/repos/huggingface/datasets/issues/1854/events | https://github.com/huggingface/datasets/issues/1854 | 805,204,397 | MDU6SXNzdWU4MDUyMDQzOTc= | 1,854 | Feature Request: Dataset.add_item | {
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"Hi @sshleifer.\r\n\r\nI am not sure of understanding the need of the `add_item` approach...\r\n\r\nBy just reading your \"Desired API\" section, I would say you could (nearly) get it with a 1-column Dataset:\r\n```python\r\ndata = {\"input_ids\": [np.array([4,4,2]), np.array([8,6,5,5,2]), np.array([3,3,31,5])]}\r\... | 1,612,937,160,000 | 1,619,172,090,000 | 1,619,172,090,000 | CONTRIBUTOR | null | I'm trying to integrate `huggingface/datasets` functionality into `fairseq`, which requires (afaict) being able to build a dataset through an `add_item` method, such as https://github.com/pytorch/fairseq/blob/master/fairseq/data/indexed_dataset.py#L318, as opposed to loading all the text into arrow, and then `dataset.m... | {
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https://api.github.com/repos/huggingface/datasets/issues/1853 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1853/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1853/comments | https://api.github.com/repos/huggingface/datasets/issues/1853/events | https://github.com/huggingface/datasets/pull/1853 | 804,791,166 | MDExOlB1bGxSZXF1ZXN0NTcwNTAwMjc4 | 1,853 | Configure library root logger at the module level | {
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By doing it this way:
- we are sure configuration is done only once: module level code is only runned once
- no need of global variable
- no need of threading lock | {
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https://api.github.com/repos/huggingface/datasets/issues/1852 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1852/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1852/comments | https://api.github.com/repos/huggingface/datasets/issues/1852/events | https://github.com/huggingface/datasets/pull/1852 | 804,633,033 | MDExOlB1bGxSZXF1ZXN0NTcwMzY3NTU1 | 1,852 | Add Arabic Speech Corpus | {
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https://api.github.com/repos/huggingface/datasets/issues/1851 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1851/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1851/comments | https://api.github.com/repos/huggingface/datasets/issues/1851/events | https://github.com/huggingface/datasets/pull/1851 | 804,523,174 | MDExOlB1bGxSZXF1ZXN0NTcwMjc2MTk5 | 1,851 | set bert_score version dependency | {
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https://api.github.com/repos/huggingface/datasets/issues/1850 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1850/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1850/comments | https://api.github.com/repos/huggingface/datasets/issues/1850/events | https://github.com/huggingface/datasets/pull/1850 | 804,412,249 | MDExOlB1bGxSZXF1ZXN0NTcwMTg0MDAx | 1,850 | Add cord 19 dataset | {
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"Cleaned-up version of previous PR: https://github.com/huggingface/datasets/pull/1129",
"@lhoestq FYI",
"Before merging I might tweak a little bit the dummy data to avoid having to check if the `document_parses` and `embeddings` directories exist or not. I'll do that later today",
"Looks all good now ! Thanks... | 1,612,866,128,000 | 1,612,883,786,000 | 1,612,883,786,000 | CONTRIBUTOR | null | Initial version only reading the metadata in CSV.
### Checklist:
- [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_CONFIG... | {
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https://api.github.com/repos/huggingface/datasets/issues/1849 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1849/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1849/comments | https://api.github.com/repos/huggingface/datasets/issues/1849/events | https://github.com/huggingface/datasets/issues/1849 | 804,292,971 | MDU6SXNzdWU4MDQyOTI5NzE= | 1,849 | Add TIMIT | {
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"@patrickvonplaten Could you please help me with how the output text has to be represented in the data? TIMIT has Words, Phonemes and texts. Also has lot on info on the speaker and the dialect. Could you please help me? An example of how to arrange it would be super helpful!\r\n\r\n",
"Hey @vrindaprabhu - sure I'... | 1,612,855,781,000 | 1,615,787,977,000 | 1,615,787,977,000 | MEMBER | null | ## Adding a Dataset
- **Name:** *TIMIT*
- **Description:** *The TIMIT corpus of read speech has been designed to provide speech data for the acquisition of acoustic-phonetic knowledge and for the development and evaluation of automatic speech recognition systems*
- **Paper:** *Homepage*: http://groups.inf.ed.ac.uk... | {
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https://api.github.com/repos/huggingface/datasets/issues/1848 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1848/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1848/comments | https://api.github.com/repos/huggingface/datasets/issues/1848/events | https://github.com/huggingface/datasets/pull/1848 | 803,826,506 | MDExOlB1bGxSZXF1ZXN0NTY5Njg5ODU1 | 1,848 | Refactoring: Create config module | {
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This could be seen as a Pythonic singleton-like approach. Eventually a config instance class might be created. | {
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https://api.github.com/repos/huggingface/datasets/issues/1847 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1847/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1847/comments | https://api.github.com/repos/huggingface/datasets/issues/1847/events | https://github.com/huggingface/datasets/pull/1847 | 803,824,694 | MDExOlB1bGxSZXF1ZXN0NTY5Njg4NDY0 | 1,847 | [Metrics] Add word error metric metric | {
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"Feel free to merge once the CI is all green ;)"
] | 1,612,809,675,000 | 1,612,893,201,000 | 1,612,893,201,000 | MEMBER | null | This PR adds the word error rate metric to datasets.
WER: https://en.wikipedia.org/wiki/Word_error_rate
for speech recognition. WER is the main metric used in ASR.
`jiwer` seems to be a solid library (see https://github.com/asteroid-team/asteroid/pull/329#discussion_r525158939) | {
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"First I was thinking of the dict, which makes sense for .download, mapping URL to downloaded path. However does this make sense for .extract, mapping the downloaded path to the extracted path? I ask this because the user did not chose the downloaded path, so this is completely unknown for them...",
"There could ... | 1,612,808,082,000 | 1,614,262,218,000 | 1,614,262,218,000 | MEMBER | null | Make accessible the file paths downloaded/extracted by DownloadManager.
Close #1831.
The approach:
- I set these paths as DownloadManager attributes: these are DownloadManager's concerns
- To access to these from DatasetBuilder, I set the DownloadManager instance as DatasetBuilder attribute: object composition | {
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https://api.github.com/repos/huggingface/datasets/issues/1845 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1845/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1845/comments | https://api.github.com/repos/huggingface/datasets/issues/1845/events | https://github.com/huggingface/datasets/pull/1845 | 803,714,493 | MDExOlB1bGxSZXF1ZXN0NTY5NTk2MTIz | 1,845 | Enable logging propagation and remove logging handler | {
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"Thank you @lhoestq. This logging configuration makes more sense to me.\r\n\r\nOnce propagation is allowed, the end-user can customize logging behavior and add custom handlers to the proper top logger in the hierarchy.\r\n\r\nAnd I also agree with following the best practices and removing any custom handlers:\r\n- ... | 1,612,801,333,000 | 1,612,880,558,000 | 1,612,880,557,000 | MEMBER | null | We used to have logging propagation disabled because of this issue: https://github.com/tensorflow/tensorflow/issues/26691
But since it's now fixed we should re-enable it. This is important to keep the default logging behavior for users, and propagation is also needed for pytest fixtures as asked in #1826
I also re... | {
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https://api.github.com/repos/huggingface/datasets/issues/1844 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1844/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1844/comments | https://api.github.com/repos/huggingface/datasets/issues/1844/events | https://github.com/huggingface/datasets/issues/1844 | 803,588,125 | MDU6SXNzdWU4MDM1ODgxMjU= | 1,844 | Update Open Subtitles corpus with original sentence IDs | {
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"Hi ! You're right this can can useful.\r\nThis should be easy to add, so feel free to give it a try if you want to contribute :)\r\nI think we just need to add it to the _generate_examples method of the OpenSubtitles dataset builder [here](https://github.com/huggingface/datasets/blob/master/datasets/open_subtitles... | 1,612,792,513,000 | 1,613,151,538,000 | 1,613,151,538,000 | CONTRIBUTOR | null | Hi! It would be great if you could add the original sentence ids to [Open Subtitles](https://huggingface.co/datasets/open_subtitles).
I can think of two reasons: first, it's possible to gather sentences for an entire document (the original ids contain media id, subtitle file id and sentence id), therefore somewhat a... | {
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https://api.github.com/repos/huggingface/datasets/issues/1843 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1843/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1843/comments | https://api.github.com/repos/huggingface/datasets/issues/1843/events | https://github.com/huggingface/datasets/issues/1843 | 803,565,393 | MDU6SXNzdWU4MDM1NjUzOTM= | 1,843 | MustC Speech Translation | {
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"Hi @patrickvonplaten I would like to work on this dataset. \r\n\r\nThanks! ",
"That's awesome! Actually, I just noticed that this dataset might become a bit too big!\r\n\r\nMuST-C is the main dataset used for IWSLT19 and should probably be added as a standalone dataset. Would you be interested also in adding `d... | 1,612,790,865,000 | 1,621,004,014,000 | null | MEMBER | null | ## Adding a Dataset
- **Name:** *IWSLT19*
- **Description:** *The Speech Translation Task addresses the translation of English audio into German and Portuguese text.*
- **Hompage:** *https://sites.google.com/view/iwslt-evaluation-2019/speech-translation*
- **Data:** *https://sites.google.com/view/iwslt-evaluation-2... | {
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https://api.github.com/repos/huggingface/datasets/issues/1842 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1842/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1842/comments | https://api.github.com/repos/huggingface/datasets/issues/1842/events | https://github.com/huggingface/datasets/issues/1842 | 803,563,149 | MDU6SXNzdWU4MDM1NjMxNDk= | 1,842 | Add AMI Corpus | {
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... | open | false | null | [] | null | [] | 1,612,790,700,000 | 1,612,855,576,000 | null | MEMBER | null | ## Adding a Dataset
- **Name:** *AMI*
- **Description:** *The AMI Meeting Corpus is a multi-modal data set consisting of 100 hours of meeting recordings. For a gentle introduction to the corpus, see the corpus overview. To access the data, follow the directions given there. Around two-thirds of the data has been elic... | {
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https://api.github.com/repos/huggingface/datasets/issues/1841 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1841/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1841/comments | https://api.github.com/repos/huggingface/datasets/issues/1841/events | https://github.com/huggingface/datasets/issues/1841 | 803,561,123 | MDU6SXNzdWU4MDM1NjExMjM= | 1,841 | Add ljspeech | {
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... | closed | false | null | [] | null | [] | 1,612,790,546,000 | 1,615,787,942,000 | 1,615,787,942,000 | MEMBER | null | ## Adding a Dataset
- **Name:** *ljspeech*
- **Description:** *This is a public domain speech dataset consisting of 13,100 short audio clips of a single speaker reading passages from 7 non-fiction books. A transcription is provided for each clip. Clips vary in length from 1 to 10 seconds and have a total length of ap... | {
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https://api.github.com/repos/huggingface/datasets/issues/1840 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1840/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1840/comments | https://api.github.com/repos/huggingface/datasets/issues/1840/events | https://github.com/huggingface/datasets/issues/1840 | 803,560,039 | MDU6SXNzdWU4MDM1NjAwMzk= | 1,840 | Add common voice | {
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"I have started working on adding this dataset.",
"Hey @BirgerMoell - awesome that you started working on Common Voice. Common Voice is a bit special since, there is no direct download link to download the data. In these cases we usually consider two options:\r\n\r\n1) Find a hacky solution to extract the downloa... | 1,612,790,465,000 | 1,641,399,591,000 | 1,615,787,781,000 | MEMBER | null | ## Adding a Dataset
- **Name:** *common voice*
- **Description:** *Mozilla Common Voice Dataset*
- **Paper:** Homepage: https://voice.mozilla.org/en/datasets
- **Data:** https://voice.mozilla.org/en/datasets
- **Motivation:** Important speech dataset
- **TFDatasets Implementation**: https://www.tensorflow.org/dat... | {
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https://api.github.com/repos/huggingface/datasets/issues/1839 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1839/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1839/comments | https://api.github.com/repos/huggingface/datasets/issues/1839/events | https://github.com/huggingface/datasets/issues/1839 | 803,559,164 | MDU6SXNzdWU4MDM1NTkxNjQ= | 1,839 | Add Voxforge | {
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... | open | false | null | [] | null | [] | 1,612,790,396,000 | 1,612,790,911,000 | null | MEMBER | null | ## Adding a Dataset
- **Name:** *voxforge*
- **Description:** *VoxForge is a language classification dataset. It consists of user submitted audio clips submitted to the website. In this release, data from 6 languages is collected - English, Spanish, French, German, Russian, and Italian. Since the website is constant... | {
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https://api.github.com/repos/huggingface/datasets/issues/1838 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1838/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1838/comments | https://api.github.com/repos/huggingface/datasets/issues/1838/events | https://github.com/huggingface/datasets/issues/1838 | 803,557,521 | MDU6SXNzdWU4MDM1NTc1MjE= | 1,838 | Add tedlium | {
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"Hi @patrickvonplaten \r\nI can have a look to this dataset later since I am trying to add the OpenSLR dataset https://github.com/huggingface/datasets/pull/2173\r\nHopefully I have enough space since the compressed file is 21GB. The release 3 is even bigger: 54GB :-0"
] | 1,612,790,272,000 | 1,617,983,861,000 | null | MEMBER | null | ## Adding a Dataset
- **Name:** *tedlium*
- **Description:** *The TED-LIUM 1-3 corpus is English-language TED talks, with transcriptions, sampled at 16kHz. It contains about 118 hours of speech.*
- **Paper:** Homepage: http://www.openslr.org/7/, https://lium.univ-lemans.fr/en/ted-lium2/ &, https://www.openslr.org/51... | {
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https://api.github.com/repos/huggingface/datasets/issues/1837 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1837/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1837/comments | https://api.github.com/repos/huggingface/datasets/issues/1837/events | https://github.com/huggingface/datasets/issues/1837 | 803,555,650 | MDU6SXNzdWU4MDM1NTU2NTA= | 1,837 | Add VCTK | {
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"@patrickvonplaten I'd like to take this, if nobody has already done it. I have added datasets before through the datasets sprint, but I feel rusty on the details, so I'll look at the guide as well as similar audio PRs (#1878 in particular comes to mind). If there is any detail I should be aware of please, let me k... | 1,612,790,128,000 | 1,640,703,908,000 | 1,640,703,908,000 | MEMBER | null | ## Adding a Dataset
- **Name:** *VCTK*
- **Description:** *This CSTR VCTK Corpus includes speech data uttered by 110 English speakers with various accents. Each speaker reads out about 400 sentences, which were selected from a newspaper, the rainbow passage and an elicitation paragraph used for the speech accent arch... | {
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https://api.github.com/repos/huggingface/datasets/issues/1836 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1836/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1836/comments | https://api.github.com/repos/huggingface/datasets/issues/1836/events | https://github.com/huggingface/datasets/issues/1836 | 803,531,837 | MDU6SXNzdWU4MDM1MzE4Mzc= | 1,836 | test.json has been removed from the limit dataset repo (breaks dataset) | {
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"Thanks for the heads up ! I'm opening a PR to fix that"
] | 1,612,788,353,000 | 1,612,973,698,000 | 1,612,973,698,000 | NONE | null | https://github.com/huggingface/datasets/blob/16042b233dbff2a7585110134e969204c69322c3/datasets/limit/limit.py#L51
The URL is not valid anymore since test.json has been removed in master for some reason. Directly referencing the last commit works:
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https://api.github.com/repos/huggingface/datasets/issues/1835 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1835/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1835/comments | https://api.github.com/repos/huggingface/datasets/issues/1835/events | https://github.com/huggingface/datasets/issues/1835 | 803,524,790 | MDU6SXNzdWU4MDM1MjQ3OTA= | 1,835 | Add CHiME4 dataset | {
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... | open | false | null | [] | null | [] | 1,612,787,798,000 | 1,612,790,011,000 | null | MEMBER | null | ## Adding a Dataset
- **Name:** Chime4
- **Description:** Chime4 is a dataset for automatic speech recognition. It is especially useful for evaluating models in a noisy environment and for multi-channel ASR
- **Paper:** Dataset comes from a channel: http://spandh.dcs.shef.ac.uk/chime_challenge/CHiME4/ . Results pape... | {
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https://api.github.com/repos/huggingface/datasets/issues/1834 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1834/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1834/comments | https://api.github.com/repos/huggingface/datasets/issues/1834/events | https://github.com/huggingface/datasets/pull/1834 | 803,517,094 | MDExOlB1bGxSZXF1ZXN0NTY5NDMzNDA4 | 1,834 | Fixes base_url of limit dataset | {
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"OK, apparently it is a lot more complicated than simply changing the URL? Going to make an issue."
] | 1,612,787,195,000 | 1,612,788,170,000 | 1,612,788,170,000 | NONE | null | `test.json` is not available in the master branch of the repository anymore. Linking to a specific commit. | {
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https://api.github.com/repos/huggingface/datasets/issues/1833 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1833/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1833/comments | https://api.github.com/repos/huggingface/datasets/issues/1833/events | https://github.com/huggingface/datasets/pull/1833 | 803,120,978 | MDExOlB1bGxSZXF1ZXN0NTY5MDk5MTUx | 1,833 | Add OSCAR dataset card | {
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"@lhoestq Thanks for the suggestions! I agree with all of them. Should I accept them one by one or can I accept them all at once? When I try to load the whole diff GitHub is complaining and it does no render them well (probably my browser?) 😅 ",
"I just merged the tables as suggested 😄 . However I noticed somet... | 1,612,748,389,000 | 1,613,138,965,000 | 1,613,138,904,000 | CONTRIBUTOR | null | I added more information and completed the dataset card for OSCAR which was started by @lhoestq in his previous [PR](https://github.com/huggingface/datasets/pull/1824). | {
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https://api.github.com/repos/huggingface/datasets/issues/1832 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1832/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1832/comments | https://api.github.com/repos/huggingface/datasets/issues/1832/events | https://github.com/huggingface/datasets/issues/1832 | 802,880,897 | MDU6SXNzdWU4MDI4ODA4OTc= | 1,832 | Looks like nokogumbo is up-to-date now, so this is no longer needed. | {
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__Originally posted by @dependabot in https://github.com/discourse/discourse/pull/11373#issuecomment-738993432__ | {
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https://api.github.com/repos/huggingface/datasets/issues/1831 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1831/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1831/comments | https://api.github.com/repos/huggingface/datasets/issues/1831/events | https://github.com/huggingface/datasets/issues/1831 | 802,868,854 | MDU6SXNzdWU4MDI4Njg4NTQ= | 1,831 | Some question about raw dataset download info in the project . | {
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"Hi ! The `dl_manager` is a `DownloadManager` object and is responsible for downloading the raw data files.\r\nIt is used by dataset builders in their `_split_generators` method to download the raw data files that are necessary to build the datasets splits.\r\n\r\nThe `Conll2003` class is a dataset builder, and so ... | 1,612,676,016,000 | 1,614,262,218,000 | 1,614,262,218,000 | NONE | null | Hi , i review the code in
https://github.com/huggingface/datasets/blob/master/datasets/conll2003/conll2003.py
in the _split_generators function is the truly logic of download raw datasets with dl_manager
and use Conll2003 cls by use import_main_class in load_dataset function
My question is that , with this logic i... | {
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https://api.github.com/repos/huggingface/datasets/issues/1830 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1830/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1830/comments | https://api.github.com/repos/huggingface/datasets/issues/1830/events | https://github.com/huggingface/datasets/issues/1830 | 802,790,075 | MDU6SXNzdWU4MDI3OTAwNzU= | 1,830 | using map on loaded Tokenizer 10x - 100x slower than default Tokenizer? | {
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"Hi @wumpusman \r\n`datasets` has a caching mechanism that allows to cache the results of `.map` so that when you want to re-run it later it doesn't recompute it again.\r\nSo when you do `.map`, what actually happens is:\r\n1. compute the hash used to identify your `map` for the cache\r\n2. apply your function on e... | 1,612,645,226,000 | 1,614,203,774,000 | null | NONE | null | This could total relate to me misunderstanding particular call functions, but I added words to a GPT2Tokenizer, and saved it to disk (note I'm only showing snippets but I can share more) and the map function ran much slower:
````
def save_tokenizer(original_tokenizer,text,path="simpledata/tokenizer"):
words_u... | {
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https://api.github.com/repos/huggingface/datasets/issues/1829 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1829/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1829/comments | https://api.github.com/repos/huggingface/datasets/issues/1829/events | https://github.com/huggingface/datasets/pull/1829 | 802,693,600 | MDExOlB1bGxSZXF1ZXN0NTY4NzgzNjA5 | 1,829 | Add Tweet Eval Dataset | {
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Notes:
1. I have excluded `mapping.txt` from the dataset at it only contained the name mappings, which are already present in the ClassLabels.
2. I have also exluded the textual names for the emojis mentioned in the [mapping](https://github.com/cardiffnlp/tweeteval/blob/main/datasets/emoji/... | {
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https://api.github.com/repos/huggingface/datasets/issues/1828 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1828/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1828/comments | https://api.github.com/repos/huggingface/datasets/issues/1828/events | https://github.com/huggingface/datasets/pull/1828 | 802,449,234 | MDExOlB1bGxSZXF1ZXN0NTY4NTkwNDM2 | 1,828 | Add CelebA Dataset | {
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"Hi @gchhablani! Thanks for all the contributions! We definitely want more image datasets, but Face datasets are tricky in general, in this one includes predicting attributes such as Attractiveness, Gender, or Race, which can be pretty problematic.\r\n\r\nWould you be up for starting with only object classification... | 1,612,556,455,000 | 1,613,657,827,000 | 1,613,657,827,000 | CONTRIBUTOR | null | Trying to add CelebA Dataset.
Need help with testing. Loading examples takes a lot of time so I am unable to generate the `dataset_infos.json` and unable to test. Also, need help with creating `dummy_data.zip`.
Additionally, trying to load a few examples using `load_dataset('./datasets/celeb_a',split='train[10:20]... | {
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https://api.github.com/repos/huggingface/datasets/issues/1827 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1827/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1827/comments | https://api.github.com/repos/huggingface/datasets/issues/1827/events | https://github.com/huggingface/datasets/issues/1827 | 802,353,974 | MDU6SXNzdWU4MDIzNTM5NzQ= | 1,827 | Regarding On-the-fly Data Loading | {
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"Possible duplicate\r\n\r\n#1776 https://github.com/huggingface/datasets/issues/\r\n\r\nreally looking PR for this feature",
"Hi @acul3 \r\n\r\nIssue #1776 talks about doing on-the-fly data pre-processing, which I think is solved in the next release as mentioned in the issue #1825. I also look forward to using t... | 1,612,547,028,000 | 1,613,656,516,000 | 1,613,656,516,000 | CONTRIBUTOR | null | Hi,
I was wondering if it is possible to load images/texts as a batch during the training process, without loading the entire dataset on the RAM at any given point.
Thanks,
Gunjan | {
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https://api.github.com/repos/huggingface/datasets/issues/1826 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1826/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1826/comments | https://api.github.com/repos/huggingface/datasets/issues/1826/events | https://github.com/huggingface/datasets/pull/1826 | 802,074,744 | MDExOlB1bGxSZXF1ZXN0NTY4Mjc4OTI2 | 1,826 | Print error message with filename when malformed CSV | {
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Close #1821 | {
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https://api.github.com/repos/huggingface/datasets/issues/1825 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1825/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1825/comments | https://api.github.com/repos/huggingface/datasets/issues/1825/events | https://github.com/huggingface/datasets/issues/1825 | 802,073,925 | MDU6SXNzdWU4MDIwNzM5MjU= | 1,825 | Datasets library not suitable for huge text datasets. | {
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"Hi ! Looks related to #861 \r\n\r\nYou are right: tokenizing a dataset using map takes a lot of space since it can store `input_ids` but also `token_type_ids`, `attention_mask` and `special_tokens_mask`. Moreover if your tokenization function returns python integers then by default they'll be stored as int64 which... | 1,612,523,210,000 | 1,617,113,041,000 | 1,615,887,840,000 | NONE | null | Hi,
I'm trying to use datasets library to load a 187GB dataset of pure text, with the intention of building a Language Model. The problem is that from the 187GB it goes to some TB when processed by Datasets. First of all, I think the pre-tokenizing step (with tokenizer.map()) is not really thought for datasets this ... | {
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https://api.github.com/repos/huggingface/datasets/issues/1824 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1824/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1824/comments | https://api.github.com/repos/huggingface/datasets/issues/1824/events | https://github.com/huggingface/datasets/pull/1824 | 802,048,281 | MDExOlB1bGxSZXF1ZXN0NTY4MjU3MTU3 | 1,824 | Add OSCAR dataset card | {
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"Hi @lhoestq! When are you planning to release the version with this dataset?\r\n\r\nBTW: What a huge README file :astonished:",
"Next week !",
"Closing in favor of #1833"
] | 1,612,521,026,000 | 1,620,239,054,000 | 1,612,783,833,000 | MEMBER | null | I started adding the dataset card for OSCAR !
For now it's just basic info for all the different configurations in `Dataset Structure`.
In particular the Data Splits section tells how may samples there are for each config. The Data Instances section show an example for each config, and it also shows the size in MB.... | {
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https://api.github.com/repos/huggingface/datasets/issues/1823 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1823/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1823/comments | https://api.github.com/repos/huggingface/datasets/issues/1823/events | https://github.com/huggingface/datasets/pull/1823 | 802,042,181 | MDExOlB1bGxSZXF1ZXN0NTY4MjUyMjIx | 1,823 | Add FewRel Dataset | {
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"Hi @lhoestq,\r\n\r\nSorry for the late response. What do you mean when you say \"adding names to default config\"? Should I handle \"pid2name\" in the same config as \"default\"?",
"Yes I was thinking of having the pid2name field available in the default configuration (and therefore only have one config). What d... | 1,612,520,523,000 | 1,614,599,780,000 | 1,614,594,099,000 | CONTRIBUTOR | null | Hi,
This PR closes this [Card](https://github.com/huggingface/datasets/projects/1#card-53285184) and Issue #1757.
I wasn't sure how to add `pid2name` along with the dataset so I added it as a separate configuration. For each (head, tail, tokens) triplet, I have created one example. I have added the dictionary key... | {
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https://api.github.com/repos/huggingface/datasets/issues/1822 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1822/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1822/comments | https://api.github.com/repos/huggingface/datasets/issues/1822/events | https://github.com/huggingface/datasets/pull/1822 | 802,003,835 | MDExOlB1bGxSZXF1ZXN0NTY4MjIxMzIz | 1,822 | Add Hindi Discourse Analysis Natural Language Inference Dataset | {
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"Could you also run `make style` to fix the CI check on code formatting ?",
"@lhoestq completed and resolved all comments."
] | 1,612,517,454,000 | 1,613,383,059,000 | 1,613,383,059,000 | CONTRIBUTOR | null | # Dataset Card for Hindi Discourse Analysis Dataset
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#dat... | {
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https://api.github.com/repos/huggingface/datasets/issues/1821 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1821/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1821/comments | https://api.github.com/repos/huggingface/datasets/issues/1821/events | https://github.com/huggingface/datasets/issues/1821 | 801,747,647 | MDU6SXNzdWU4MDE3NDc2NDc= | 1,821 | Provide better exception message when one of many files results in an exception | {
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"Hi!\r\n\r\nThank you for reporting this issue. I agree that the information about the exception should be more clear and explicit.\r\n\r\nI could take on this issue.\r\n\r\nOn the meantime, as you can see from the exception stack trace, HF Datasets uses pandas to read the CSV files. You can pass arguments to `pand... | 1,612,486,143,000 | 1,612,892,367,000 | 1,612,892,367,000 | NONE | null | I find when I process many files, i.e.
```
train_files = glob.glob('rain*.csv')
validation_files = glob.glob(validation*.csv')
datasets = load_dataset("csv", data_files=dict(train=train_files, validation=validation_files))
```
I sometimes encounter an error due to one of the files being misformed (i.e. no dat... | {
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https://api.github.com/repos/huggingface/datasets/issues/1820 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1820/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1820/comments | https://api.github.com/repos/huggingface/datasets/issues/1820/events | https://github.com/huggingface/datasets/pull/1820 | 801,529,936 | MDExOlB1bGxSZXF1ZXN0NTY3ODI4OTg1 | 1,820 | Add metrics usage examples and tests | {
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I added examples of usage for every metric, and I use doctest to make sure they all work as expected.
For "slow" metrics such as bert_score or bleurt which require to download + run a transformer model, the download + forward pass are only do... | {
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https://api.github.com/repos/huggingface/datasets/issues/1819 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1819/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1819/comments | https://api.github.com/repos/huggingface/datasets/issues/1819/events | https://github.com/huggingface/datasets/pull/1819 | 801,448,670 | MDExOlB1bGxSZXF1ZXN0NTY3NzYyMzI2 | 1,819 | Fixed spelling `S3Fileystem` to `S3FileSystem` | {
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Wrong `S3Fileystem`
Right `S3FileSystem` | {
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https://api.github.com/repos/huggingface/datasets/issues/1818 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1818/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1818/comments | https://api.github.com/repos/huggingface/datasets/issues/1818/events | https://github.com/huggingface/datasets/issues/1818 | 800,958,776 | MDU6SXNzdWU4MDA5NTg3NzY= | 1,818 | Loading local dataset raise requests.exceptions.ConnectTimeout | {
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"Hi ! Thanks for reporting. This was indeed a bug introduced when we moved the `json` dataset loader inside the `datasets` package (before that, the `json` loader was fetched online, as all the other dataset scripts).\r\n\r\nThis should be fixed on master now. Feel free to install `datasets` from source to try it o... | 1,612,418,123,000 | 1,612,531,415,000 | null | NONE | null | Load local dataset:
```
dataset = load_dataset('json', data_files=["../../data/json.json"])
train = dataset["train"]
print(train.features)
train1 = train.map(lambda x: {"labels": 1})
print(train1[:2])
```
but it raised requests.exceptions.ConnectTimeout:
```
/Users/littlely/myvirtual/tf2/bin/python3.7 /Us... | {
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https://api.github.com/repos/huggingface/datasets/issues/1817 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1817/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1817/comments | https://api.github.com/repos/huggingface/datasets/issues/1817/events | https://github.com/huggingface/datasets/issues/1817 | 800,870,652 | MDU6SXNzdWU4MDA4NzA2NTI= | 1,817 | pyarrow.lib.ArrowInvalid: Column 1 named input_ids expected length 599 but got length 1500 | {
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"Hi !\r\nThe error you have is due to the `input_ids` column not having the same number of examples as the other columns.\r\nIndeed you're concatenating the `input_ids` at this line:\r\n\r\nhttps://github.com/LuCeHe/GenericTools/blob/431835d8e13ec24dceb5ee4dc4ae58f0e873b091/KerasTools/lm_preprocessing.py#L134\r\n\r... | 1,612,405,823,000 | 1,612,706,664,000 | null | NONE | null | I am trying to preprocess any dataset in this package with GPT-2 tokenizer, so I need to structure the datasets as long sequences of text without padding. I've been following a couple of your tutorials and here you can find the script that is failing right at the end
https://github.com/LuCeHe/GenericTools/blob/maste... | {
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https://api.github.com/repos/huggingface/datasets/issues/1816 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1816/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1816/comments | https://api.github.com/repos/huggingface/datasets/issues/1816/events | https://github.com/huggingface/datasets/pull/1816 | 800,660,995 | MDExOlB1bGxSZXF1ZXN0NTY3MTExMjEx | 1,816 | Doc2dial rc update to latest version | {
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"- update data loader and readme for latest version 1.0.1"
] | 1,612,382,934,000 | 1,613,402,124,000 | 1,613,401,473,000 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1815 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1815/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1815/comments | https://api.github.com/repos/huggingface/datasets/issues/1815/events | https://github.com/huggingface/datasets/pull/1815 | 800,610,017 | MDExOlB1bGxSZXF1ZXN0NTY3MDY3NjU1 | 1,815 | Add CCAligned Multilingual Dataset | {
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"Hi !\r\n\r\nWe already have some datasets that can have many many configurations possible.\r\nTo be able to support that, we allow to subclass BuilderConfig to add as many additional parameters as you may need.\r\nThis way users can load any language they want. For example the [bible_para](https://github.com/huggi... | 1,612,378,792,000 | 1,614,601,983,000 | 1,614,594,981,000 | CONTRIBUTOR | null | Hello,
I'm trying to add [CCAligned Multilingual Dataset](http://www.statmt.org/cc-aligned/). This has the potential to close #1756.
This dataset has two types - Document-Pairs, and Sentence-Pairs.
The datasets are huge, so I won't be able to test all of them. At the same time, a user might only want to downlo... | {
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https://api.github.com/repos/huggingface/datasets/issues/1814 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1814/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1814/comments | https://api.github.com/repos/huggingface/datasets/issues/1814/events | https://github.com/huggingface/datasets/pull/1814 | 800,516,236 | MDExOlB1bGxSZXF1ZXN0NTY2OTg4NTI1 | 1,814 | Add Freebase QA Dataset | {
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"Hi @lhoestq \r\n\r\nThanks for approving. Request you to close PR #1435 as well."
] | 1,612,371,469,000 | 1,612,468,071,000 | 1,612,455,708,000 | CONTRIBUTOR | null | Closes PR #1435. Fixed issues with PR #1809.
Requesting @lhoestq to review. | {
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https://api.github.com/repos/huggingface/datasets/issues/1813 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1813/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1813/comments | https://api.github.com/repos/huggingface/datasets/issues/1813/events | https://github.com/huggingface/datasets/pull/1813 | 800,435,973 | MDExOlB1bGxSZXF1ZXN0NTY2OTIxNDcz | 1,813 | Support future datasets | {
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However when trying to load a dataset that is only available on master, currently users have to specify `script_version="master"` in `load_dataset` to mak... | {
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https://api.github.com/repos/huggingface/datasets/issues/1812 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1812/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1812/comments | https://api.github.com/repos/huggingface/datasets/issues/1812/events | https://github.com/huggingface/datasets/pull/1812 | 799,379,178 | MDExOlB1bGxSZXF1ZXN0NTY2MDMxODIy | 1,812 | Add CIFAR-100 Dataset | {
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"Hi @lhoestq,\r\nI have updated with the changes from the review.",
"Thanks for approving :)"
] | 1,612,279,379,000 | 1,612,782,618,000 | 1,612,780,746,000 | CONTRIBUTOR | null | Adding CIFAR-100 Dataset. | {
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https://api.github.com/repos/huggingface/datasets/issues/1811 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1811/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1811/comments | https://api.github.com/repos/huggingface/datasets/issues/1811/events | https://github.com/huggingface/datasets/issues/1811 | 799,211,060 | MDU6SXNzdWU3OTkyMTEwNjA= | 1,811 | Unable to add Multi-label Datasets | {
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"Thanks for adding this dataset! As far as I know `supervised_keys` is mostly a holdover from TFDS, but isn't really used, so feel free to drop it (@lhoestq or @thomwolf correct me if I'm wrong). It definitely shouldn't be blocking :) ",
"I can confirm that it comes from TFDS and is not used at the moment.",
"... | 1,612,266,656,000 | 1,613,657,791,000 | 1,613,657,791,000 | CONTRIBUTOR | null | I am trying to add [CIFAR-100](https://www.cs.toronto.edu/~kriz/cifar.html) dataset. The dataset contains two labels per image - `fine label` and `coarse label`. Using just one label in supervised keys as
`supervised_keys=("img", "fine_label")` raises no issue. But trying `supervised_keys=("img", "fine_label","coarse... | {
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https://api.github.com/repos/huggingface/datasets/issues/1810 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1810/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1810/comments | https://api.github.com/repos/huggingface/datasets/issues/1810/events | https://github.com/huggingface/datasets/issues/1810 | 799,168,650 | MDU6SXNzdWU3OTkxNjg2NTA= | 1,810 | Add Hateful Memes Dataset | {
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"I am not sure, but would `datasets.Sequence(datasets.Sequence(datasets.Sequence(datasets.Value(\"int\")))` work?",
"Also, I found the information for loading only subsets of the data [here](https://github.com/huggingface/datasets/blob/master/docs/source/splits.rst).",
"Hi @lhoestq,\r\n\r\nRequest you to check ... | 1,612,263,239,000 | 1,638,965,039,000 | null | CONTRIBUTOR | null | ## Add Hateful Memes Dataset
- **Name:** Hateful Memes
- **Description:** [https://ai.facebook.com/blog/hateful-memes-challenge-and-data-set]( https://ai.facebook.com/blog/hateful-memes-challenge-and-data-set)
- **Paper:** [https://arxiv.org/pdf/2005.04790.pdf](https://arxiv.org/pdf/2005.04790.pdf)
- **Data:** [Thi... | {
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https://api.github.com/repos/huggingface/datasets/issues/1809 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1809/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1809/comments | https://api.github.com/repos/huggingface/datasets/issues/1809/events | https://github.com/huggingface/datasets/pull/1809 | 799,059,141 | MDExOlB1bGxSZXF1ZXN0NTY1NzY4ODQz | 1,809 | Add FreebaseQA dataset | {
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"Hi ! It looks like this PR contains changes about other datasets than freebase_qa such as DuoRC.\r\n\r\nCan you remove these changes please ?",
"Hi @lhoestq,\r\n\r\nI think this happened because of rebasing. I'm unable to remove the duorc commit from the branch. GEM, Arabic sarcasm datasets are also there. I ca... | 1,612,254,953,000 | 1,612,372,505,000 | 1,612,370,586,000 | CONTRIBUTOR | null | Adding FreebaseQA dataset suggested in PR #1435 with minor edits. Also closes that PR.
Requesting @lhoestq to review. | {
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https://api.github.com/repos/huggingface/datasets/issues/1808 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1808/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1808/comments | https://api.github.com/repos/huggingface/datasets/issues/1808/events | https://github.com/huggingface/datasets/issues/1808 | 798,879,180 | MDU6SXNzdWU3OTg4NzkxODA= | 1,808 | writing Datasets in a human readable format | {
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"AFAIK, there is currently no built-in method on the `Dataset` object to do this.\r\nHowever, a workaround is to directly use the Arrow table backing the dataset, **but it implies loading the whole dataset in memory** (correct me if I'm mistaken @lhoestq).\r\n\r\nYou can convert the Arrow table to a pandas datafram... | 1,612,234,540,000 | 1,612,278,248,000 | null | NONE | null | Hi
I see there is a save_to_disk function to save data, but this is not human readable format, is there a way I could save a Dataset object in a human readable format to a file like json? thanks @lhoestq | {
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https://api.github.com/repos/huggingface/datasets/issues/1807 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1807/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1807/comments | https://api.github.com/repos/huggingface/datasets/issues/1807/events | https://github.com/huggingface/datasets/pull/1807 | 798,823,591 | MDExOlB1bGxSZXF1ZXN0NTY1NTczNzU5 | 1,807 | Adding an aggregated dataset for the GEM benchmark | {
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"Nice !"
] | 1,612,226,393,000 | 1,612,306,121,000 | 1,612,289,218,000 | MEMBER | null | This dataset gathers modified versions of several other conditional text generation datasets which together make up the shared task for the Generation Evaluation and Metrics workshop (think GLUE for text generation)
The changes from the original datasets are detailed in the Dataset Cards on the GEM website, which ar... | {
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https://api.github.com/repos/huggingface/datasets/issues/1806 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1806/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1806/comments | https://api.github.com/repos/huggingface/datasets/issues/1806/events | https://github.com/huggingface/datasets/pull/1806 | 798,607,869 | MDExOlB1bGxSZXF1ZXN0NTY1Mzk0ODIz | 1,806 | Update details to MLSUM dataset | {
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"Thanks!"
] | 1,612,204,512,000 | 1,612,205,188,000 | 1,612,205,181,000 | CONTRIBUTOR | null | Update details to MLSUM dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/1805 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1805/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1805/comments | https://api.github.com/repos/huggingface/datasets/issues/1805/events | https://github.com/huggingface/datasets/issues/1805 | 798,498,053 | MDU6SXNzdWU3OTg0OTgwNTM= | 1,805 | can't pickle SwigPyObject objects when calling dataset.get_nearest_examples from FAISS index | {
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"Hi ! Indeed we used to require mapping functions to be picklable with `pickle` or `dill` in order to cache the resulting datasets. And FAISS indexes are not picklable unfortunately.\r\n\r\nBut since #1703 this is no longer required (the caching will simply be disabled). This change will be available in the next re... | 1,612,196,057,000 | 1,615,041,166,000 | 1,615,041,166,000 | CONTRIBUTOR | null | So, I have the following instances in my dataset
```
{'question': 'An astronomer observes that a planet rotates faster after a meteorite impact. Which is the most likely effect of
this increase in rotation?',
'answer': 'C',
'example_id': 'ARCCH_Mercury_7175875',
'options':[{'option_context': 'One effect of ... | {
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https://api.github.com/repos/huggingface/datasets/issues/1804 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1804/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1804/comments | https://api.github.com/repos/huggingface/datasets/issues/1804/events | https://github.com/huggingface/datasets/pull/1804 | 798,483,881 | MDExOlB1bGxSZXF1ZXN0NTY1MjkzMTc3 | 1,804 | Add SICK dataset | {
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Closes #1772.
Edit: also closes #1632, which is the original issue requesting the dataset. The newer one is a duplicate. | {
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https://api.github.com/repos/huggingface/datasets/issues/1803 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1803/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1803/comments | https://api.github.com/repos/huggingface/datasets/issues/1803/events | https://github.com/huggingface/datasets/issues/1803 | 798,243,904 | MDU6SXNzdWU3OTgyNDM5MDQ= | 1,803 | Querying examples from big datasets is slower than small datasets | {
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"Hello, @lhoestq / @gaceladri : We have been seeing similar behavior with bigger datasets, where querying time increases. Are you folks aware of any solution that fixes this problem yet? ",
"Hi ! I'm pretty sure that it can be fixed by using the Arrow IPC file format instead of the raw streaming format but I ha... | 1,612,177,703,000 | 1,628,100,661,000 | 1,628,100,642,000 | MEMBER | null | After some experiments with bookcorpus I noticed that querying examples from big datasets is slower than small datasets.
For example
```python
from datasets import load_dataset
b1 = load_dataset("bookcorpus", split="train[:1%]")
b50 = load_dataset("bookcorpus", split="train[:50%]")
b100 = load_dataset("bookcorp... | {
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https://api.github.com/repos/huggingface/datasets/issues/1802 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1802/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1802/comments | https://api.github.com/repos/huggingface/datasets/issues/1802/events | https://github.com/huggingface/datasets/pull/1802 | 797,924,468 | MDExOlB1bGxSZXF1ZXN0NTY0ODE4NDIy | 1,802 | add github of contributors | {
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"@lhoestq Can you confirm if this format is fine? I will update cards based on your feedback.",
"On HuggingFace side we also have a mapping of hf user => github user (GitHub info used to be required when signing up until not long ago – cc @gary149 @beurkinger) so we can also add a link to HF profile",
"All the ... | 1,612,151,359,000 | 1,612,346,992,000 | 1,612,346,790,000 | CONTRIBUTOR | null | This PR will add contributors GitHub id at the end of every dataset cards. | {
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https://api.github.com/repos/huggingface/datasets/issues/1801 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1801/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1801/comments | https://api.github.com/repos/huggingface/datasets/issues/1801/events | https://github.com/huggingface/datasets/pull/1801 | 797,814,275 | MDExOlB1bGxSZXF1ZXN0NTY0NzMwODYw | 1,801 | [GEM] Updated the source link of the data to update correct tokenized version. | {
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"@mounicam we'll keep the original version in the Turk dataset proper, and use the updated file in the GEM aggregated dataset which I'll add later today\r\n\r\n@lhoestq do not merge, I'll close when I've submitted the GEM dataset PR :) ",
"Closed by https://github.com/huggingface/datasets/pull/1807"
] | 1,612,127,839,000 | 1,612,271,858,000 | 1,612,271,848,000 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1800 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1800/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1800/comments | https://api.github.com/repos/huggingface/datasets/issues/1800/events | https://github.com/huggingface/datasets/pull/1800 | 797,798,689 | MDExOlB1bGxSZXF1ZXN0NTY0NzE5MjA3 | 1,800 | Add DuoRC Dataset | {
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"Thanks for approving @lhoestq!\r\nWill apply these changes for the other datasets I've added too."
] | 1,612,123,319,000 | 1,612,328,505,000 | 1,612,306,166,000 | CONTRIBUTOR | null | Hi,
DuoRC SelfRC is one type of the [DuoRC Dataset](https://duorc.github.io/). DuoRC SelfRC is a crowdsourced Abstractive/Extractive Question-Answering dataset based on Wikipedia movie plots. It contains examples that may have answers in the movie plot, synthesized answers which are not present in the movie plot, or... | {
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https://api.github.com/repos/huggingface/datasets/issues/1799 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1799/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1799/comments | https://api.github.com/repos/huggingface/datasets/issues/1799/events | https://github.com/huggingface/datasets/pull/1799 | 797,789,439 | MDExOlB1bGxSZXF1ZXN0NTY0NzEyMzUy | 1,799 | Update: SWDA - Fixed code to use all metadata features. Added comments and cleaned c… | {
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"@yjernite Pushed all the changes you recommended. Thank you for your help!"
] | 1,612,120,735,000 | 1,612,908,373,000 | 1,612,885,798,000 | CONTRIBUTOR | null | This is a dataset I currently use my research and I realized some features are not being returned.
Previous code was not using all available metadata and was kind of messy
I fixed code to use all metadata and made some modification to be more efficient and better formatted.
Please let me know if I need to ma... | {
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https://api.github.com/repos/huggingface/datasets/issues/1798 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1798/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1798/comments | https://api.github.com/repos/huggingface/datasets/issues/1798/events | https://github.com/huggingface/datasets/pull/1798 | 797,766,818 | MDExOlB1bGxSZXF1ZXN0NTY0Njk2NjE1 | 1,798 | Add Arabic sarcasm dataset | {
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"@lhoestq thanks for the comments - I believe these are now addressed. I re-generated the datasets_info.json and dummy data"
] | 1,612,114,735,000 | 1,612,989,553,000 | 1,612,348,554,000 | CONTRIBUTOR | null | This MIT license dataset: https://github.com/iabufarha/ArSarcasm
Via https://sites.google.com/view/ar-sarcasm-sentiment-detection/ | {
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https://api.github.com/repos/huggingface/datasets/issues/1797 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1797/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1797/comments | https://api.github.com/repos/huggingface/datasets/issues/1797/events | https://github.com/huggingface/datasets/issues/1797 | 797,357,901 | MDU6SXNzdWU3OTczNTc5MDE= | 1,797 | Connection error | {
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"Hi ! For future references let me add a link to our discussion here : https://github.com/huggingface/datasets/issues/759#issuecomment-770684693\r\n\r\nLet me know if you manage to fix your proxy issue or if we can do something on our end to help you :)"
] | 1,611,991,965,000 | 1,628,100,577,000 | 1,628,100,577,000 | NONE | null | Hi
I am hitting to the error, help me and thanks.
`train_data = datasets.load_dataset("xsum", split="train")`
`ConnectionError: Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/1.0.2/datasets/xsum/xsum.py` | {
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https://api.github.com/repos/huggingface/datasets/issues/1796 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1796/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1796/comments | https://api.github.com/repos/huggingface/datasets/issues/1796/events | https://github.com/huggingface/datasets/issues/1796 | 797,329,905 | MDU6SXNzdWU3OTczMjk5MDU= | 1,796 | Filter on dataset too much slowww | {
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"When I use the filter on the arrow table directly, it works like butter. But I can't find a way to update the table in `Dataset` object.\r\n\r\n```\r\nds_table = dataset.data.filter(mask=dataset['flag'])\r\n```",
"@thomwolf @lhoestq can you guys please take a look and recommend some solution.",
"Hi ! Currently... | 1,611,979,759,000 | 1,613,668,164,000 | null | NONE | null | I have a dataset with 50M rows.
For pre-processing, I need to tokenize this and filter rows with the large sequence.
My tokenization took roughly 12mins. I used `map()` with batch size 1024 and multi-process with 96 processes.
When I applied the `filter()` function it is taking too much time. I need to filter se... | {
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https://api.github.com/repos/huggingface/datasets/issues/1795 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1795/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1795/comments | https://api.github.com/repos/huggingface/datasets/issues/1795/events | https://github.com/huggingface/datasets/pull/1795 | 797,021,730 | MDExOlB1bGxSZXF1ZXN0NTY0MDk5OTUz | 1,795 | Custom formatting for lazy map + arrow data extraction refactor | {
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"This PR is amazing!!!\r\n\r\nI only looked at `arrow_dataset.py` and `formatting/formatting.py` but those look good to me.\r\n\r\nMy only (tiny) concern is the name of the function: I don't think it's self-evident that `set_format` applies a generic transformation, and some people might not look too far into the d... | 1,611,938,153,000 | 1,612,518,847,000 | 1,612,518,846,000 | MEMBER | null | Hi !
This PR refactors the way data are extracted from pyarrow tables to extend it to the use of custom formatting functions.
While the internal storage of the dataset is always the Apache Arrow format, by setting a specific format on a dataset, you can cast the output of `datasets.Dataset.__getitem__` in NumPy/p... | {
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https://api.github.com/repos/huggingface/datasets/issues/1793 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1793/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1793/comments | https://api.github.com/repos/huggingface/datasets/issues/1793/events | https://github.com/huggingface/datasets/pull/1793 | 796,940,299 | MDExOlB1bGxSZXF1ZXN0NTY0MDMzMjk0 | 1,793 | Minor fix the docstring of load_metric | {
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- duplicated attributes
- format fix | {
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https://api.github.com/repos/huggingface/datasets/issues/1792 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1792/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1792/comments | https://api.github.com/repos/huggingface/datasets/issues/1792/events | https://github.com/huggingface/datasets/pull/1792 | 796,934,627 | MDExOlB1bGxSZXF1ZXN0NTY0MDI4NTk1 | 1,792 | Allow loading dataset in-memory | {
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"I am wondering how to test their difference...",
"> ring how to test their difference...\r\n\r\nHmm I don't think pyarrow exposes an API to check if a Table comes from a file that is memory-mapped. In particular since all the buffer/memory logic is in the C++ part of pyarrow.\r\n\r\nOtherwise we can still check ... | 1,611,931,190,000 | 1,613,139,208,000 | 1,613,139,208,000 | MEMBER | null | Allow loading datasets either from:
- memory-mapped file (current implementation)
- from file descriptor, copying data to physical memory
Close #708 | {
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https://api.github.com/repos/huggingface/datasets/issues/1791 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1791/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1791/comments | https://api.github.com/repos/huggingface/datasets/issues/1791/events | https://github.com/huggingface/datasets/pull/1791 | 796,924,519 | MDExOlB1bGxSZXF1ZXN0NTY0MDE5OTk3 | 1,791 | Small fix with corrected logging of train vectors | {
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https://api.github.com/repos/huggingface/datasets/issues/1790 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1790/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1790/comments | https://api.github.com/repos/huggingface/datasets/issues/1790/events | https://github.com/huggingface/datasets/issues/1790 | 796,678,157 | MDU6SXNzdWU3OTY2NzgxNTc= | 1,790 | ModuleNotFoundError: No module named 'apache_beam', when specific languages. | {
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"Hi !\r\n\r\nApache Beam is a framework used to define data transformation pipelines. These pipeline can then be run in many runtimes: DataFlow, Spark, Flink, etc. There also exist a local runner called the DirectRunner.\r\nWikipedia is a dataset that requires some parsing, so to allow the processing to be run on t... | 1,611,908,244,000 | 1,616,674,251,000 | null | CONTRIBUTOR | null | ```py
import datasets
wiki = datasets.load_dataset('wikipedia', '20200501.ja', cache_dir='./datasets')
```
then `ModuleNotFoundError: No module named 'apache_beam'` happend.
The error doesn't appear when it's '20200501.en'.
I don't know Apache Beam, but according to #498 it isn't necessary when it's saved to lo... | {
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https://api.github.com/repos/huggingface/datasets/issues/1789 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1789/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1789/comments | https://api.github.com/repos/huggingface/datasets/issues/1789/events | https://github.com/huggingface/datasets/pull/1789 | 796,229,721 | MDExOlB1bGxSZXF1ZXN0NTYzNDQyMTc2 | 1,789 | [BUG FIX] typo in the import path for metrics | {
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https://api.github.com/repos/huggingface/datasets/issues/1788 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1788/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1788/comments | https://api.github.com/repos/huggingface/datasets/issues/1788/events | https://github.com/huggingface/datasets/pull/1788 | 795,544,422 | MDExOlB1bGxSZXF1ZXN0NTYyODc1NzA2 | 1,788 | Doc2dial rc | {
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https://api.github.com/repos/huggingface/datasets/issues/1787 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1787/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1787/comments | https://api.github.com/repos/huggingface/datasets/issues/1787/events | https://github.com/huggingface/datasets/pull/1787 | 795,485,842 | MDExOlB1bGxSZXF1ZXN0NTYyODI1NTI3 | 1,787 | Update the CommonGen citation information | {
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https://api.github.com/repos/huggingface/datasets/issues/1786 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1786/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1786/comments | https://api.github.com/repos/huggingface/datasets/issues/1786/events | https://github.com/huggingface/datasets/issues/1786 | 795,462,816 | MDU6SXNzdWU3OTU0NjI4MTY= | 1,786 | How to use split dataset | {
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"By default, all 3 splits will be loaded if you run the following:\r\n\r\n```python\r\nfrom datasets import load_dataset\r\ndataset = load_dataset(\"lambada\")\r\nprint(dataset[\"train\"])\r\nprint(dataset[\"valid\"])\r\n\r\n```\r\n\r\nIf you wanted to do load this manually, you could do this:\r\n\r\n```python\r\nf... | 1,611,783,467,000 | 1,619,191,059,000 | 1,619,191,059,000 | NONE | null | 
Hey,
I want to split the lambada dataset into corpus, test, train and valid txt files (like penn treebank) but I am not able to achieve this. What I am doing is, executing the lambada.py file in my pro... | {
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https://api.github.com/repos/huggingface/datasets/issues/1785 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1785/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1785/comments | https://api.github.com/repos/huggingface/datasets/issues/1785/events | https://github.com/huggingface/datasets/issues/1785 | 795,458,856 | MDU6SXNzdWU3OTU0NTg4NTY= | 1,785 | Not enough disk space (Needed: Unknown size) when caching on a cluster | {
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"Hi ! \r\n\r\nWhat do you mean by \"disk_usage(\".\").free` can't compute on the cluster's shared disk\" exactly ?\r\nDoes it return 0 ?",
"Yes, that's right. It shows 0 free space even though there is. I suspect it might have to do with permissions on the shared disk.\r\n\r\n```python\r\n>>> disk_usage(\".\")\r\... | 1,611,783,059,000 | 1,611,968,876,000 | 1,611,968,876,000 | CONTRIBUTOR | null | I'm running some experiments where I'm caching datasets on a cluster and accessing it through multiple compute nodes. However, I get an error when loading the cached dataset from the shared disk.
The exact error thrown:
```bash
>>> load_dataset(dataset, cache_dir="/path/to/cluster/shared/path")
OSError: Not eno... | {
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https://api.github.com/repos/huggingface/datasets/issues/1784 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1784/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1784/comments | https://api.github.com/repos/huggingface/datasets/issues/1784/events | https://github.com/huggingface/datasets/issues/1784 | 794,659,174 | MDU6SXNzdWU3OTQ2NTkxNzQ= | 1,784 | JSONDecodeError on JSON with multiple lines | {
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"Hi !\r\n\r\nThe `json` dataset script does support this format. For example loading a dataset with this format works on my side:\r\n```json\r\n{\"key1\":11, \"key2\":12, \"key3\":13}\r\n{\"key1\":21, \"key2\":22, \"key3\":23}\r\n```\r\n\r\nCan you show the full stacktrace please ? Also which version of datasets an... | 1,611,706,762,000 | 1,612,082,838,000 | 1,612,082,838,000 | CONTRIBUTOR | null | Hello :),
I have been trying to load data using a JSON file. Based on the [docs](https://huggingface.co/docs/datasets/loading_datasets.html#json-files), the following format is supported:
```json
{"key1":11, "key2":12, "key3":13}
{"key1":21, "key2":22, "key3":23}
```
But, when I try loading a dataset with th... | {
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https://api.github.com/repos/huggingface/datasets/issues/1783 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1783/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1783/comments | https://api.github.com/repos/huggingface/datasets/issues/1783/events | https://github.com/huggingface/datasets/issues/1783 | 794,544,495 | MDU6SXNzdWU3OTQ1NDQ0OTU= | 1,783 | Dataset Examples Explorer | {
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"Hi @ChewKokWah,\r\n\r\nWe're working on it! In the meantime, you can still find the dataset explorer at the following URL: https://huggingface.co/datasets/viewer/",
"Glad to see that it still exist, this existing one is more than good enough for me, it is feature rich, simple to use and concise. \r\nHope similar... | 1,611,693,542,000 | 1,612,187,924,000 | 1,612,187,924,000 | NONE | null | In the Older version of the Dataset, there are a useful Dataset Explorer that allow user to visualize the examples (training, test and validation) of a particular dataset, it is no longer there in current version.
Hope HuggingFace can re-enable the feature that at least allow viewing of the first 20 examples of a ... | {
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https://api.github.com/repos/huggingface/datasets/issues/1782 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1782/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1782/comments | https://api.github.com/repos/huggingface/datasets/issues/1782/events | https://github.com/huggingface/datasets/pull/1782 | 794,167,920 | MDExOlB1bGxSZXF1ZXN0NTYxNzI5OTc3 | 1,782 | Update pyarrow import warning | {
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I also moved the check at the top of the __init__.py | {
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https://api.github.com/repos/huggingface/datasets/issues/1781 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1781/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1781/comments | https://api.github.com/repos/huggingface/datasets/issues/1781/events | https://github.com/huggingface/datasets/issues/1781 | 793,914,556 | MDU6SXNzdWU3OTM5MTQ1NTY= | 1,781 | AttributeError: module 'pyarrow' has no attribute 'PyExtensionType' during import | {
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"Hi ! I'm not able to reproduce the issue. Can you try restarting your runtime ?\r\n\r\nThe PyExtensionType is available in pyarrow starting 0.17.1 iirc. If restarting your runtime doesn't fix this, can you try updating pyarrow ?\r\n```\r\npip install pyarrow --upgrade\r\n```",
"We should bump up the version test... | 1,611,634,715,000 | 1,611,661,656,000 | null | NONE | null | I'm using Colab. And suddenly this morning, there is this error. Have a look below!
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https://api.github.com/repos/huggingface/datasets/issues/1780 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1780/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1780/comments | https://api.github.com/repos/huggingface/datasets/issues/1780/events | https://github.com/huggingface/datasets/pull/1780 | 793,882,132 | MDExOlB1bGxSZXF1ZXN0NTYxNDkxNTgy | 1,780 | Update SciFact URL | {
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"Hi ! The error you get is the result of some verifications the library is doing when loading a dataset that already has some metadata in the dataset_infos.json. You can ignore the verifications with \r\n```\r\npython datasets-cli test datasets/scifact --save_infos --all_configs --ignore_verifications\r\n```\r\nThi... | 1,611,629,346,000 | 1,611,859,680,000 | 1,611,829,185,000 | CONTRIBUTOR | null | Hi,
I'm following up this [issue](https://github.com/huggingface/datasets/issues/1717). I'm the SciFact dataset creator, and I'm trying to update the SciFact data url in your repo. Thanks again for adding the dataset!
Basically, I'd just like to change the `_URL` to `"https://scifact.s3-us-west-2.amazonaws.com/re... | {
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This is because we were not ignoring the line number definition f... | {
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https://api.github.com/repos/huggingface/datasets/issues/1778 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1778/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1778/comments | https://api.github.com/repos/huggingface/datasets/issues/1778/events | https://github.com/huggingface/datasets/pull/1778 | 793,474,507 | MDExOlB1bGxSZXF1ZXN0NTYxMTU2Mzk1 | 1,778 | Narrative QA Manual | {
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"@lhoestq sorry I opened a new pull request because of some issues with the previous code base. This pull request is originally from #1364",
"Excellent comments. Thanks for those valuable suggestions. I changed everything as you have pointed out :) ",
"I've copied the same template as NarrativeQA now. Please le... | 1,611,588,151,000 | 1,611,912,914,000 | 1,611,912,891,000 | CONTRIBUTOR | null | Submitting the manual version of Narrative QA script which requires a manual download from the original repository | {
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https://api.github.com/repos/huggingface/datasets/issues/1777 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1777/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1777/comments | https://api.github.com/repos/huggingface/datasets/issues/1777/events | https://github.com/huggingface/datasets/issues/1777 | 793,273,770 | MDU6SXNzdWU3OTMyNzM3NzA= | 1,777 | GPT2 MNLI training using run_glue.py | {
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Running this on Google Colab,
```
!python run_glue.py \
--model_name_or_path gpt2 \
--task_name mnli \
--do_train \
--do_eval \
--max_seq_length 128 \
--per_gpu_train_batch_size 10 \
--gradient_accu... | {
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https://api.github.com/repos/huggingface/datasets/issues/1776 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1776/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1776/comments | https://api.github.com/repos/huggingface/datasets/issues/1776/events | https://github.com/huggingface/datasets/issues/1776 | 792,755,249 | MDU6SXNzdWU3OTI3NTUyNDk= | 1,776 | [Question & Bug Report] Can we preprocess a dataset on the fly? | {
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"We are very actively working on this. How does your dataset look like in practice (number/size/type of files)?",
"It's a text file with many lines (about 1B) of Chinese sentences. I use it to train language model using https://github.com/huggingface/transformers/blob/master/examples/language-modeling/run_mlm_wwm... | 1,611,480,504,000 | 1,621,484,158,000 | 1,621,484,158,000 | NONE | null | I know we can use `Datasets.map` to preprocess a dataset, but I'm using it with very large corpus which generates huge cache file (several TB cache from a 400 GB text file). I have no disk large enough to save it. Can we preprocess a dataset on the fly without generating cache?
BTW, I tried raising `writer_batch_si... | {
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https://api.github.com/repos/huggingface/datasets/issues/1775 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1775/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1775/comments | https://api.github.com/repos/huggingface/datasets/issues/1775/events | https://github.com/huggingface/datasets/issues/1775 | 792,742,120 | MDU6SXNzdWU3OTI3NDIxMjA= | 1,775 | Efficient ways to iterate the dataset | {
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"It seems that selecting a subset of colums directly from the dataset, i.e., dataset[\"column\"], is slow.",
"I was wrong, ```dataset[\"column\"]``` is fast."
] | 1,611,474,871,000 | 1,611,481,839,000 | 1,611,481,839,000 | CONTRIBUTOR | null | For a large dataset that does not fits the memory, how can I select only a subset of features from each example?
If I iterate over the dataset and then select the subset of features one by one, the resulted memory usage will be huge. Any ways to solve this?
Thanks | {
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"Hi ! Thanks for reporting.\r\nI am working on changes in the way data are sliced from arrow. I can probably fix your issue with the changes I'm doing.\r\nIf you have some code to reproduce the issue it would be nice so I can make sure that this case will be supported :)\r\nI'll make a PR in a few days ",
"Good i... | 1,611,468,952,000 | 1,611,531,378,000 | null | NONE | null | Hi,
see below error:
```
AssertionError: Requested slice [:10000000000000000] incompatible with 20 examples.
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/1773 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1773/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1773/comments | https://api.github.com/repos/huggingface/datasets/issues/1773/events | https://github.com/huggingface/datasets/issues/1773 | 792,708,160 | MDU6SXNzdWU3OTI3MDgxNjA= | 1,773 | bug in loading datasets | {
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"Looks like an issue with your csv file. Did you use the right delimiter ?\r\nApparently at line 37 the CSV reader from pandas reads 2 fields instead of 1.",
"Note that you can pass any argument you would pass to `pandas.read_csv` as kwargs to `load_dataset`. For example you can do\r\n```python\r\nfrom datasets i... | 1,611,456,825,000 | 1,630,918,486,000 | 1,628,100,781,000 | NONE | null | Hi,
I need to load a dataset, I use these commands:
```
from datasets import load_dataset
dataset = load_dataset('csv', data_files={'train': 'sick/train.csv',
'test': 'sick/test.csv',
'validation': 'sick/validation.csv'})
prin... | {
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https://api.github.com/repos/huggingface/datasets/issues/1772 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1772/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1772/comments | https://api.github.com/repos/huggingface/datasets/issues/1772/events | https://github.com/huggingface/datasets/issues/1772 | 792,703,797 | MDU6SXNzdWU3OTI3MDM3OTc= | 1,772 | Adding SICK dataset | {
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It would be great to include SICK dataset.
## Adding a Dataset
- **Name:** SICK
- **Description:** a well known entailment dataset
- **Paper:** http://marcobaroni.org/composes/sick.html
- **Data:** http://marcobaroni.org/composes/sick.html
- **Motivation:** this is an important NLI benchmark
Instruction... | {
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https://api.github.com/repos/huggingface/datasets/issues/1771 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1771/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1771/comments | https://api.github.com/repos/huggingface/datasets/issues/1771/events | https://github.com/huggingface/datasets/issues/1771 | 792,701,276 | MDU6SXNzdWU3OTI3MDEyNzY= | 1,771 | Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/1.2.1/datasets/csv/csv.py | {
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"I temporary manually download csv.py as custom dataset loading script",
"Indeed in 1.2.1 the script to process csv file is downloaded. Starting from the next release though we include the csv processing directly in the library.\r\nSee PR #1726 \r\nWe'll do a new release soon :)",
"Thanks."
] | 1,611,453,232,000 | 1,611,529,589,000 | 1,611,529,589,000 | NONE | null | Hi,
When I load_dataset from local csv files, below error happened, looks raw.githubusercontent.com was blocked by the chinese government. But why it need to download csv.py? should it include when pip install the dataset?
```
Traceback (most recent call last):
File "/home/tom/pyenv/pystory/lib/python3.6/site-p... | {
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https://api.github.com/repos/huggingface/datasets/issues/1770 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1770/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1770/comments | https://api.github.com/repos/huggingface/datasets/issues/1770/events | https://github.com/huggingface/datasets/issues/1770 | 792,698,148 | MDU6SXNzdWU3OTI2OTgxNDg= | 1,770 | how can I combine 2 dataset with different/same features? | {
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"Hi ! Currently we don't have a way to `zip` datasets but we plan to add this soon :)\r\nFor now you'll need to use `map` to add the fields from one dataset to the other. See the comment here for more info : https://github.com/huggingface/datasets/issues/853#issuecomment-727872188",
"Good to hear.\r\nCurrently I ... | 1,611,451,566,000 | 1,611,531,834,000 | null | NONE | null | to combine 2 dataset by one-one map like ds = zip(ds1, ds2):
ds1: {'text'}, ds2: {'text'}, combine ds:{'src', 'tgt'}
or different feature:
ds1: {'src'}, ds2: {'tgt'}, combine ds:{'src', 'tgt'} | {
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"More information: `run_mlm.py` will raise same error when `data_args.line_by_line==True`\r\n\r\nhttps://github.com/huggingface/transformers/blob/9152f16023b59d262b51573714b40325c8e49370/examples/language-modeling/run_mlm.py#L300\r\n",
"Hi ! What version of python and datasets do you have ? And also what version ... | 1,611,396,780,000 | 1,611,570,237,000 | null | NONE | null | It may be a bug of multiprocessing with Datasets, when I disable the multiprocessing by set num_proc to None, everything works fine.
The script I use is https://github.com/huggingface/transformers/blob/master/examples/language-modeling/run_mlm_wwm.py
Script args:
```
--model_name_or_path
../../../model/chine... | {
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https://api.github.com/repos/huggingface/datasets/issues/1768 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1768/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1768/comments | https://api.github.com/repos/huggingface/datasets/issues/1768/events | https://github.com/huggingface/datasets/pull/1768 | 792,150,745 | MDExOlB1bGxSZXF1ZXN0NTYwMDgyNzIx | 1,768 | Mention kwargs in the Dataset Formatting docs | {
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This was discussed in Issue #1762 where the docs didn't mention that keyword arguments to `datasets.Dataset.set_format()` are allowed.
To prevent people from having to check the code/method docs, I just added a couple of lines in the docs.
Please let me know your thoughts on this.
Thanks,
Gunjan
@lho... | {
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https://api.github.com/repos/huggingface/datasets/issues/1767 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1767/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1767/comments | https://api.github.com/repos/huggingface/datasets/issues/1767/events | https://github.com/huggingface/datasets/pull/1767 | 792,068,497 | MDExOlB1bGxSZXF1ZXN0NTYwMDE2MzE2 | 1,767 | Add Librispeech ASR | {
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"> Awesome thank you !\r\n> \r\n> The dummy data are quite big but it was expected given that the raw files are flac files.\r\n> Given that the script doesn't even read the flac files I think we can remove them. Or maybe use empty flac files (see [here](https://hydrogenaud.io/index.php?topic=118685.0) for example).... | 1,611,327,277,000 | 1,611,607,087,000 | 1,611,607,062,000 | MEMBER | null | This PR adds the librispeech asr dataset: https://www.tensorflow.org/datasets/catalog/librispeech
There are 2 configs: "clean" and "other" whereas there are two "train" datasets for "clean", hence the name "train.100" and "train.360".
As suggested by @lhoestq, due to the enormous size of the dataset in `.arrow` f... | {
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https://api.github.com/repos/huggingface/datasets/issues/1766 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1766/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1766/comments | https://api.github.com/repos/huggingface/datasets/issues/1766/events | https://github.com/huggingface/datasets/issues/1766 | 792,044,105 | MDU6SXNzdWU3OTIwNDQxMDU= | 1,766 | Issues when run two programs compute the same metrics | {
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"Hi ! To avoid collisions you can specify a `experiment_id` when instantiating your metric using `load_metric`. It will replace \"default_experiment\" with the experiment id that you provide in the arrow filename. \r\n\r\nAlso when two `experiment_id` collide we're supposed to detect it using our locking mechanism.... | 1,611,325,375,000 | 1,612,262,286,000 | 1,612,262,286,000 | NONE | null | I got the following error when running two different programs that both compute sacreblue metrics. It seems that both read/and/write to the same location (.cache/huggingface/metrics/sacrebleu/default/default_experiment-1-0.arrow) where it caches the batches:
```
File "train_matching_min.py", line 160, in <module>ch... | {
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https://api.github.com/repos/huggingface/datasets/issues/1765 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1765/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1765/comments | https://api.github.com/repos/huggingface/datasets/issues/1765/events | https://github.com/huggingface/datasets/issues/1765 | 791,553,065 | MDU6SXNzdWU3OTE1NTMwNjU= | 1,765 | Error iterating over Dataset with DataLoader | {
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"Instead of:\r\n```python\r\ndataloader = torch.utils.data.DataLoader(encoded_dataset, batch_sampler=32)\r\n```\r\nIt should be:\r\n```python\r\ndataloader = torch.utils.data.DataLoader(encoded_dataset, batch_size=32)\r\n```\r\n\r\n`batch_sampler` accepts a Sampler object or an Iterable, so you get an error.",
"@... | 1,611,269,805,000 | 1,638,879,753,000 | 1,611,373,454,000 | NONE | null | I have a Dataset that I've mapped a tokenizer over:
```
encoded_dataset.set_format(type='torch',columns=['attention_mask','input_ids','token_type_ids'])
encoded_dataset[:1]
```
```
{'attention_mask': tensor([[1, 1, 1, 1, 1, 1, 1, 1, 1, 1, 1]]),
'input_ids': tensor([[ 101, 178, 1198, 1400, 1714, 22233, 2... | {
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https://api.github.com/repos/huggingface/datasets/issues/1764 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1764/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1764/comments | https://api.github.com/repos/huggingface/datasets/issues/1764/events | https://github.com/huggingface/datasets/issues/1764 | 791,486,860 | MDU6SXNzdWU3OTE0ODY4NjA= | 1,764 | Connection Issues | {
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"Academic WIFI was blocking."
] | 1,611,262,569,000 | 1,611,262,819,000 | 1,611,262,802,000 | NONE | null | Today, I am getting connection issues while loading a dataset and the metric.
```
Traceback (most recent call last):
File "src/train.py", line 180, in <module>
train_dataset, dev_dataset, test_dataset = create_race_dataset()
File "src/train.py", line 130, in create_race_dataset
train_dataset = load_da... | {
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https://api.github.com/repos/huggingface/datasets/issues/1763 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1763/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1763/comments | https://api.github.com/repos/huggingface/datasets/issues/1763/events | https://github.com/huggingface/datasets/pull/1763 | 791,389,763 | MDExOlB1bGxSZXF1ZXN0NTU5NDU3MTY1 | 1,763 | PAWS-X: Fix csv Dictreader splitting data on quotes | {
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```python
from datasets import load_dataset
# load english paws-x dataset
datasets = load_dataset('paws-x', 'en')
print(len(datasets['train'])) # outputs 49202 but official dataset has 49401 pairs
print(datasets['train'].unique('label')) # outputs [1, 0, -1] but labels are binary [0,1]
... | {
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https://api.github.com/repos/huggingface/datasets/issues/1762 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1762/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1762/comments | https://api.github.com/repos/huggingface/datasets/issues/1762/events | https://github.com/huggingface/datasets/issues/1762 | 791,226,007 | MDU6SXNzdWU3OTEyMjYwMDc= | 1,762 | Unable to format dataset to CUDA Tensors | {
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"Hi ! You can get CUDA tensors with\r\n\r\n```python\r\ndataset.set_format(\"torch\", columns=columns, device=\"cuda\")\r\n```\r\n\r\nIndeed `set_format` passes the `**kwargs` to `torch.tensor`",
"Hi @lhoestq,\r\n\r\nThanks a lot. Is this true for all format types?\r\n\r\nAs in, for 'torch', I can have `**kwargs`... | 1,611,243,083,000 | 1,612,250,002,000 | 1,612,250,002,000 | CONTRIBUTOR | null | Hi,
I came across this [link](https://huggingface.co/docs/datasets/torch_tensorflow.html) where the docs show show to convert a dataset to a particular format. I see that there is an option to convert it to tensors, but I don't see any option to convert it to CUDA tensors.
I tried this, but Dataset doesn't suppor... | {
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https://api.github.com/repos/huggingface/datasets/issues/1761 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1761/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1761/comments | https://api.github.com/repos/huggingface/datasets/issues/1761/events | https://github.com/huggingface/datasets/pull/1761 | 791,150,858 | MDExOlB1bGxSZXF1ZXN0NTU5MjUyMzEw | 1,761 | Add SILICONE benchmark | {
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"Thanks for the feedback. All your comments have been addressed!",
"Thank you for your constructive feedback! I now know how to best format future datasets that our team plans to publish in the near future :)",
"Awesome ! Looking forward to it :) ",
"Hi @lhoestq ! One last question. Our research team would li... | 1,611,239,352,000 | 1,612,449,168,000 | 1,611,669,031,000 | CONTRIBUTOR | null | My collaborators and I within the Affective Computing team at Telecom Paris would like to re-submit our spoken dialogue dataset for publication.
This is a new pull request relative to the [previously closed request](https://github.com/huggingface/datasets/pull/1712) which was reviewed by @lhoestq.
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https://api.github.com/repos/huggingface/datasets/issues/1760 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1760/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1760/comments | https://api.github.com/repos/huggingface/datasets/issues/1760/events | https://github.com/huggingface/datasets/pull/1760 | 791,110,857 | MDExOlB1bGxSZXF1ZXN0NTU5MjE3MjY0 | 1,760 | More tags | {
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"Conll has `multilingual` but is only tagged as `en`",
"good catch, that was a bad copy paste x)"
] | 1,611,237,010,000 | 1,611,308,401,000 | 1,611,308,400,000 | MEMBER | null | Since the hub v2 is going to be released soon I figured it would be great to add the missing tags at least for some of the datasets of reference listed [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md#write-the-loadingprocessing-code) | {
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https://api.github.com/repos/huggingface/datasets/issues/1759 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1759/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1759/comments | https://api.github.com/repos/huggingface/datasets/issues/1759/events | https://github.com/huggingface/datasets/issues/1759 | 790,992,226 | MDU6SXNzdWU3OTA5OTIyMjY= | 1,759 | wikipedia dataset incomplete | {
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"Hi !\r\nFrom what pickle file fo you get this ?\r\nI guess you mean the dataset loaded using `load_dataset` ?",
"yes sorry, I used the `load_dataset`function and saved the data to a pickle file so I don't always have to reload it and are able to work offline. ",
"The wikipedia articles are processed using the ... | 1,611,229,635,000 | 1,611,249,731,000 | 1,611,249,666,000 | NONE | null | Hey guys,
I am using the https://github.com/huggingface/datasets/tree/master/datasets/wikipedia dataset.
Unfortunately, I found out that there is an incompleteness for the German dataset.
For reasons unknown to me, the number of inhabitants has been removed from many pages:
Thorey-sur-Ouche has 128 inhabitants a... | {
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https://api.github.com/repos/huggingface/datasets/issues/1758 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1758/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1758/comments | https://api.github.com/repos/huggingface/datasets/issues/1758/events | https://github.com/huggingface/datasets/issues/1758 | 790,626,116 | MDU6SXNzdWU3OTA2MjYxMTY= | 1,758 | dataset.search() (elastic) cannot reliably retrieve search results | {
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"Hi !\r\nI tried your code on my side and I was able to workaround this issue by waiting a few seconds before querying the index.\r\nMaybe this is because the index is not updated yet on the ElasticSearch side ?",
"Thanks for the feedback! I added a 30 second \"sleep\" and that seemed to work well!"
] | 1,611,195,997,000 | 1,611,275,150,000 | 1,611,275,150,000 | NONE | null | I am trying to use elastic search to retrieve the indices of items in the dataset in their precise order, given shuffled training indices.
The problem I have is that I cannot retrieve reliable results with my data on my first search. I have to run the search **twice** to get the right answer.
I am indexing data t... | {
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https://api.github.com/repos/huggingface/datasets/issues/1757 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1757/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1757/comments | https://api.github.com/repos/huggingface/datasets/issues/1757/events | https://github.com/huggingface/datasets/issues/1757 | 790,466,509 | MDU6SXNzdWU3OTA0NjY1MDk= | 1,757 | FewRel | {
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"+1",
"@dspoka Please check the following link : https://github.com/thunlp/FewRel\r\nThis link mentions two versions of the datasets. Also, this one seems to be the official link.\r\n\r\nI am assuming this is the correct link and implementing based on the same.",
"Hi @lhoestq,\r\n\r\nThis issue can be closed, I... | 1,611,186,963,000 | 1,615,258,325,000 | 1,615,214,092,000 | NONE | null | ## Adding a Dataset
- **Name:** FewRel
- **Description:** Large-Scale Supervised Few-Shot Relation Classification Dataset
- **Paper:** @inproceedings{han2018fewrel,
title={FewRel:A Large-Scale Supervised Few-Shot Relation Classification Dataset with State-of-the-Art Evaluation},
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- **Name:** *name of the dataset*
- **Description:** *short description of the dataset (or link to social media or blog post)*
- CCAligned consists of parallel or comparable web-document pairs in 137 languages aligned with English. These web-document pairs were constructed by performing language ... | {
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