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values | comments int64 0 70 | created_at timestamp[s]date 2020-04-14 10:18:02 2025-08-05 09:28:51 | updated_at timestamp[s]date 2020-04-27 16:04:17 2025-08-05 11:39:56 | closed_at timestamp[s]date 2020-04-14 12:01:40 2025-08-01 05:15:45 ⌀ | user_login stringlengths 3 26 | labels listlengths 0 4 | body stringlengths 0 228k ⌀ | is_pull_request bool 2
classes |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
806,172,843 | https://api.github.com/repos/huggingface/datasets/issues/1864 | https://github.com/huggingface/datasets/issues/1864 | 1,864 | Add Winogender Schemas | closed | 1 | 2021-02-11T08:18:38 | 2021-02-11T08:19:51 | 2021-02-11T08:19:51 | NielsRogge | [
"dataset request"
] | ## Adding a Dataset
- **Name:** Winogender Schemas
- **Description:** Winogender Schemas (inspired by Winograd Schemas) are minimal pairs of sentences that differ only by the gender of one pronoun in the sentence, designed to test for the presence of gender bias in automated coreference resolution systems.
- **Paper... | false |
806,171,311 | https://api.github.com/repos/huggingface/datasets/issues/1863 | https://github.com/huggingface/datasets/issues/1863 | 1,863 | Add WikiCREM | open | 2 | 2021-02-11T08:16:00 | 2021-03-07T07:27:13 | null | NielsRogge | [
"dataset request"
] | ## Adding a Dataset
- **Name:** WikiCREM
- **Description:** A large unsupervised corpus for coreference resolution.
- **Paper:** https://arxiv.org/abs/1905.06290
- **Github repo:**: https://github.com/vid-koci/bert-commonsense
- **Data:** https://ora.ox.ac.uk/objects/uuid:c83e94bb-7584-41a1-aef9-85b0e764d9e3
- **... | false |
805,722,293 | https://api.github.com/repos/huggingface/datasets/issues/1862 | https://github.com/huggingface/datasets/pull/1862 | 1,862 | Fix writing GPU Faiss index | closed | 0 | 2021-02-10T17:32:03 | 2021-02-10T18:17:48 | 2021-02-10T18:17:47 | lhoestq | [] | As reported in by @corticalstack there is currently an error when we try to save a faiss index on GPU.
I fixed that by checking the index `getDevice()` method before calling `index_gpu_to_cpu`
Close #1859 | true |
805,631,215 | https://api.github.com/repos/huggingface/datasets/issues/1861 | https://github.com/huggingface/datasets/pull/1861 | 1,861 | Fix Limit url | closed | 0 | 2021-02-10T15:44:56 | 2021-02-10T16:15:00 | 2021-02-10T16:14:59 | lhoestq | [] | The test.json file of the Literal-Motion-in-Text (LiMiT) dataset was removed recently on the master branch of the repo at https://github.com/ilmgut/limit_dataset
This PR uses the previous commit sha to download the file instead, as suggested by @Paethon
Close #1836 | true |
805,510,037 | https://api.github.com/repos/huggingface/datasets/issues/1860 | https://github.com/huggingface/datasets/pull/1860 | 1,860 | Add loading from the Datasets Hub + add relative paths in download manager | closed | 2 | 2021-02-10T13:24:11 | 2021-02-12T19:13:30 | 2021-02-12T19:13:29 | lhoestq | [] | With the new Datasets Hub on huggingface.co it's now possible to have a dataset repo with your own script and data.
For example: https://huggingface.co/datasets/lhoestq/custom_squad/tree/main contains one script and two json files.
You can load it using
```python
from datasets import load_dataset
d = load_data... | true |
805,479,025 | https://api.github.com/repos/huggingface/datasets/issues/1859 | https://github.com/huggingface/datasets/issues/1859 | 1,859 | Error "in void don't know how to serialize this type of index" when saving index to disk when device=0 (GPU) | closed | 3 | 2021-02-10T12:41:00 | 2021-02-10T18:32:12 | 2021-02-10T18:17:47 | corticalstack | [] | Error serializing faiss index. Error as follows:
`Error in void faiss::write_index(const faiss::Index*, faiss::IOWriter*) at /home/conda/feedstock_root/build_artifacts/faiss-split_1612472484670/work/faiss/impl/index_write.cpp:453: don't know how to serialize this type of index`
Note:
`torch.cuda.is_availabl... | false |
805,477,774 | https://api.github.com/repos/huggingface/datasets/issues/1858 | https://github.com/huggingface/datasets/pull/1858 | 1,858 | Clean config getenvs | closed | 0 | 2021-02-10T12:39:14 | 2021-02-10T15:52:30 | 2021-02-10T15:52:29 | lhoestq | [] | Following #1848
Remove double getenv calls and fix one issue with rarfile
cc @albertvillanova | true |
805,391,107 | https://api.github.com/repos/huggingface/datasets/issues/1857 | https://github.com/huggingface/datasets/issues/1857 | 1,857 | Unable to upload "community provided" dataset - 400 Client Error | closed | 1 | 2021-02-10T10:39:01 | 2021-08-03T05:06:13 | 2021-08-03T05:06:13 | mwrzalik | [] | Hi,
i'm trying to a upload a dataset as described [here](https://huggingface.co/docs/datasets/v1.2.0/share_dataset.html#sharing-a-community-provided-dataset). This is what happens:
```
$ datasets-cli login
$ datasets-cli upload_dataset my_dataset
About to upload file /path/to/my_dataset/dataset_infos.json to S3... | false |
805,360,200 | https://api.github.com/repos/huggingface/datasets/issues/1856 | https://github.com/huggingface/datasets/issues/1856 | 1,856 | load_dataset("amazon_polarity") NonMatchingChecksumError | closed | 12 | 2021-02-10T10:00:56 | 2022-03-15T13:55:24 | 2022-03-15T13:55:23 | yanxi0830 | [] | Hi, it seems that loading the amazon_polarity dataset gives a NonMatchingChecksumError.
To reproduce:
```
load_dataset("amazon_polarity")
```
This will give the following error:
```
---------------------------------------------------------------------------
NonMatchingChecksumError Traceback ... | false |
805,256,579 | https://api.github.com/repos/huggingface/datasets/issues/1855 | https://github.com/huggingface/datasets/pull/1855 | 1,855 | Minor fix in the docs | closed | 0 | 2021-02-10T07:27:43 | 2021-02-10T12:33:09 | 2021-02-10T12:33:09 | albertvillanova | [] | true | |
805,204,397 | https://api.github.com/repos/huggingface/datasets/issues/1854 | https://github.com/huggingface/datasets/issues/1854 | 1,854 | Feature Request: Dataset.add_item | closed | 3 | 2021-02-10T06:06:00 | 2021-04-23T10:01:30 | 2021-04-23T10:01:30 | sshleifer | [
"enhancement"
] | 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... | false |
804,791,166 | https://api.github.com/repos/huggingface/datasets/issues/1853 | https://github.com/huggingface/datasets/pull/1853 | 1,853 | Configure library root logger at the module level | closed | 0 | 2021-02-09T18:11:12 | 2021-02-10T12:32:34 | 2021-02-10T12:32:34 | albertvillanova | [] | Configure library root logger at the datasets.logging module level (singleton-like).
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 | true |
804,633,033 | https://api.github.com/repos/huggingface/datasets/issues/1852 | https://github.com/huggingface/datasets/pull/1852 | 1,852 | Add Arabic Speech Corpus | closed | 0 | 2021-02-09T15:02:26 | 2021-02-11T10:18:55 | 2021-02-11T10:18:55 | zaidalyafeai | [] | true | |
804,523,174 | https://api.github.com/repos/huggingface/datasets/issues/1851 | https://github.com/huggingface/datasets/pull/1851 | 1,851 | set bert_score version dependency | closed | 0 | 2021-02-09T12:51:07 | 2021-02-09T14:21:48 | 2021-02-09T14:21:48 | pvl | [] | Set the bert_score version in requirements since previous versions of bert_score will fail with datasets (closes #843) | true |
804,412,249 | https://api.github.com/repos/huggingface/datasets/issues/1850 | https://github.com/huggingface/datasets/pull/1850 | 1,850 | Add cord 19 dataset | closed | 4 | 2021-02-09T10:22:08 | 2021-02-09T15:16:26 | 2021-02-09T15:16:26 | ggdupont | [] | 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... | true |
804,292,971 | https://api.github.com/repos/huggingface/datasets/issues/1849 | https://github.com/huggingface/datasets/issues/1849 | 1,849 | Add TIMIT | closed | 3 | 2021-02-09T07:29:41 | 2021-03-15T05:59:37 | 2021-03-15T05:59:37 | patrickvonplaten | [
"dataset request",
"speech"
] | ## 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... | false |
803,826,506 | https://api.github.com/repos/huggingface/datasets/issues/1848 | https://github.com/huggingface/datasets/pull/1848 | 1,848 | Refactoring: Create config module | closed | 0 | 2021-02-08T18:43:51 | 2021-02-10T12:29:35 | 2021-02-10T12:29:35 | albertvillanova | [] | Refactorize configuration settings into their own module.
This could be seen as a Pythonic singleton-like approach. Eventually a config instance class might be created. | true |
803,824,694 | https://api.github.com/repos/huggingface/datasets/issues/1847 | https://github.com/huggingface/datasets/pull/1847 | 1,847 | [Metrics] Add word error metric metric | closed | 1 | 2021-02-08T18:41:15 | 2021-02-09T17:53:21 | 2021-02-09T17:53:21 | patrickvonplaten | [] | 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) | true |
803,806,380 | https://api.github.com/repos/huggingface/datasets/issues/1846 | https://github.com/huggingface/datasets/pull/1846 | 1,846 | Make DownloadManager downloaded/extracted paths accessible | closed | 3 | 2021-02-08T18:14:42 | 2021-02-25T14:10:18 | 2021-02-25T14:10:18 | albertvillanova | [] | 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 | true |
803,714,493 | https://api.github.com/repos/huggingface/datasets/issues/1845 | https://github.com/huggingface/datasets/pull/1845 | 1,845 | Enable logging propagation and remove logging handler | closed | 1 | 2021-02-08T16:22:13 | 2021-02-09T14:22:38 | 2021-02-09T14:22:37 | lhoestq | [] | 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... | true |
803,588,125 | https://api.github.com/repos/huggingface/datasets/issues/1844 | https://github.com/huggingface/datasets/issues/1844 | 1,844 | Update Open Subtitles corpus with original sentence IDs | closed | 6 | 2021-02-08T13:55:13 | 2021-02-12T17:38:58 | 2021-02-12T17:38:58 | Valahaar | [
"good first issue"
] | 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... | false |
803,565,393 | https://api.github.com/repos/huggingface/datasets/issues/1843 | https://github.com/huggingface/datasets/issues/1843 | 1,843 | MustC Speech Translation | open | 18 | 2021-02-08T13:27:45 | 2021-05-14T14:53:34 | null | patrickvonplaten | [
"dataset request",
"speech"
] | ## 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... | false |
803,563,149 | https://api.github.com/repos/huggingface/datasets/issues/1842 | https://github.com/huggingface/datasets/issues/1842 | 1,842 | Add AMI Corpus | closed | 3 | 2021-02-08T13:25:00 | 2023-02-28T16:29:22 | 2023-02-28T16:29:22 | patrickvonplaten | [
"dataset request",
"speech"
] | ## 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... | false |
803,561,123 | https://api.github.com/repos/huggingface/datasets/issues/1841 | https://github.com/huggingface/datasets/issues/1841 | 1,841 | Add ljspeech | closed | 0 | 2021-02-08T13:22:26 | 2021-03-15T05:59:02 | 2021-03-15T05:59:02 | patrickvonplaten | [
"dataset request",
"speech"
] | ## 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... | false |
803,560,039 | https://api.github.com/repos/huggingface/datasets/issues/1840 | https://github.com/huggingface/datasets/issues/1840 | 1,840 | Add common voice | closed | 11 | 2021-02-08T13:21:05 | 2022-03-20T15:23:40 | 2021-03-15T05:56:21 | patrickvonplaten | [
"dataset request",
"speech"
] | ## 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... | false |
803,559,164 | https://api.github.com/repos/huggingface/datasets/issues/1839 | https://github.com/huggingface/datasets/issues/1839 | 1,839 | Add Voxforge | open | 0 | 2021-02-08T13:19:56 | 2021-02-08T13:28:31 | null | patrickvonplaten | [
"dataset request",
"speech"
] | ## 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... | false |
803,557,521 | https://api.github.com/repos/huggingface/datasets/issues/1838 | https://github.com/huggingface/datasets/issues/1838 | 1,838 | Add tedlium | closed | 2 | 2021-02-08T13:17:52 | 2022-10-04T14:34:12 | 2022-10-04T14:34:12 | patrickvonplaten | [
"dataset request",
"speech"
] | ## 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... | false |
803,555,650 | https://api.github.com/repos/huggingface/datasets/issues/1837 | https://github.com/huggingface/datasets/issues/1837 | 1,837 | Add VCTK | closed | 2 | 2021-02-08T13:15:28 | 2021-12-28T15:05:08 | 2021-12-28T15:05:08 | patrickvonplaten | [
"dataset request",
"speech"
] | ## 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... | false |
803,531,837 | https://api.github.com/repos/huggingface/datasets/issues/1836 | https://github.com/huggingface/datasets/issues/1836 | 1,836 | test.json has been removed from the limit dataset repo (breaks dataset) | closed | 1 | 2021-02-08T12:45:53 | 2021-02-10T16:14:58 | 2021-02-10T16:14:58 | Paethon | [
"dataset bug"
] | 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:
`https://raw.githubusercontent.com/ilmgut/limit_dataset/0707d3989cd... | false |
803,524,790 | https://api.github.com/repos/huggingface/datasets/issues/1835 | https://github.com/huggingface/datasets/issues/1835 | 1,835 | Add CHiME4 dataset | open | 5 | 2021-02-08T12:36:38 | 2025-01-26T16:18:59 | null | patrickvonplaten | [
"dataset request",
"speech"
] | ## 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... | false |
803,517,094 | https://api.github.com/repos/huggingface/datasets/issues/1834 | https://github.com/huggingface/datasets/pull/1834 | 1,834 | Fixes base_url of limit dataset | closed | 1 | 2021-02-08T12:26:35 | 2021-02-08T12:42:50 | 2021-02-08T12:42:50 | Paethon | [] | `test.json` is not available in the master branch of the repository anymore. Linking to a specific commit. | true |
803,120,978 | https://api.github.com/repos/huggingface/datasets/issues/1833 | https://github.com/huggingface/datasets/pull/1833 | 1,833 | Add OSCAR dataset card | closed | 10 | 2021-02-08T01:39:49 | 2021-02-12T14:09:25 | 2021-02-12T14:08:24 | pjox | [] | 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). | true |
802,880,897 | https://api.github.com/repos/huggingface/datasets/issues/1832 | https://github.com/huggingface/datasets/issues/1832 | 1,832 | Looks like nokogumbo is up-to-date now, so this is no longer needed. | closed | 0 | 2021-02-07T06:52:07 | 2021-02-08T17:27:29 | 2021-02-08T17:27:29 | JimmyJim1 | [] | Looks like nokogumbo is up-to-date now, so this is no longer needed.
__Originally posted by @dependabot in https://github.com/discourse/discourse/pull/11373#issuecomment-738993432__ | false |
802,868,854 | https://api.github.com/repos/huggingface/datasets/issues/1831 | https://github.com/huggingface/datasets/issues/1831 | 1,831 | Some question about raw dataset download info in the project . | closed | 4 | 2021-02-07T05:33:36 | 2021-02-25T14:10:18 | 2021-02-25T14:10:18 | svjack | [] | 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... | false |
802,790,075 | https://api.github.com/repos/huggingface/datasets/issues/1830 | https://github.com/huggingface/datasets/issues/1830 | 1,830 | using map on loaded Tokenizer 10x - 100x slower than default Tokenizer? | open | 9 | 2021-02-06T21:00:26 | 2021-02-24T21:56:14 | null | wumpusman | [] | 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... | false |
802,693,600 | https://api.github.com/repos/huggingface/datasets/issues/1829 | https://github.com/huggingface/datasets/pull/1829 | 1,829 | Add Tweet Eval Dataset | closed | 0 | 2021-02-06T12:36:25 | 2021-02-08T13:17:54 | 2021-02-08T13:17:53 | gchhablani | [] | Closes Draft PR #1407.
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/... | true |
802,449,234 | https://api.github.com/repos/huggingface/datasets/issues/1828 | https://github.com/huggingface/datasets/pull/1828 | 1,828 | Add CelebA Dataset | closed | 9 | 2021-02-05T20:20:55 | 2021-02-18T14:17:07 | 2021-02-18T14:17:07 | gchhablani | [] | 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]... | true |
802,353,974 | https://api.github.com/repos/huggingface/datasets/issues/1827 | https://github.com/huggingface/datasets/issues/1827 | 1,827 | Regarding On-the-fly Data Loading | closed | 4 | 2021-02-05T17:43:48 | 2021-02-18T13:55:16 | 2021-02-18T13:55:16 | gchhablani | [] | 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 | false |
802,074,744 | https://api.github.com/repos/huggingface/datasets/issues/1826 | https://github.com/huggingface/datasets/pull/1826 | 1,826 | Print error message with filename when malformed CSV | closed | 0 | 2021-02-05T11:07:59 | 2021-02-09T17:39:27 | 2021-02-09T17:39:27 | albertvillanova | [] | Print error message specifying filename when malformed CSV file.
Close #1821 | true |
802,073,925 | https://api.github.com/repos/huggingface/datasets/issues/1825 | https://github.com/huggingface/datasets/issues/1825 | 1,825 | Datasets library not suitable for huge text datasets. | closed | 5 | 2021-02-05T11:06:50 | 2021-03-30T14:04:01 | 2021-03-16T09:44:00 | avacaondata | [] | 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 ... | false |
802,048,281 | https://api.github.com/repos/huggingface/datasets/issues/1824 | https://github.com/huggingface/datasets/pull/1824 | 1,824 | Add OSCAR dataset card | closed | 3 | 2021-02-05T10:30:26 | 2021-05-05T18:24:14 | 2021-02-08T11:30:33 | lhoestq | [] | 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.... | true |
802,042,181 | https://api.github.com/repos/huggingface/datasets/issues/1823 | https://github.com/huggingface/datasets/pull/1823 | 1,823 | Add FewRel Dataset | closed | 11 | 2021-02-05T10:22:03 | 2021-03-01T11:56:20 | 2021-03-01T10:21:39 | gchhablani | [] | 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... | true |
802,003,835 | https://api.github.com/repos/huggingface/datasets/issues/1822 | https://github.com/huggingface/datasets/pull/1822 | 1,822 | Add Hindi Discourse Analysis Natural Language Inference Dataset | closed | 2 | 2021-02-05T09:30:54 | 2021-02-15T09:57:39 | 2021-02-15T09:57:39 | avinsit123 | [] | # 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... | true |
801,747,647 | https://api.github.com/repos/huggingface/datasets/issues/1821 | https://github.com/huggingface/datasets/issues/1821 | 1,821 | Provide better exception message when one of many files results in an exception | closed | 1 | 2021-02-05T00:49:03 | 2021-02-09T17:39:27 | 2021-02-09T17:39:27 | david-waterworth | [] | 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... | false |
801,529,936 | https://api.github.com/repos/huggingface/datasets/issues/1820 | https://github.com/huggingface/datasets/pull/1820 | 1,820 | Add metrics usage examples and tests | closed | 0 | 2021-02-04T18:23:50 | 2021-02-05T14:00:01 | 2021-02-05T14:00:00 | lhoestq | [] | All metrics finally have usage examples and proper fast + slow tests :)
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... | true |
801,448,670 | https://api.github.com/repos/huggingface/datasets/issues/1819 | https://github.com/huggingface/datasets/pull/1819 | 1,819 | Fixed spelling `S3Fileystem` to `S3FileSystem` | closed | 0 | 2021-02-04T16:36:46 | 2021-02-04T16:52:27 | 2021-02-04T16:52:26 | philschmid | [] | Fixed documentation spelling errors.
Wrong `S3Fileystem`
Right `S3FileSystem` | true |
800,958,776 | https://api.github.com/repos/huggingface/datasets/issues/1818 | https://github.com/huggingface/datasets/issues/1818 | 1,818 | Loading local dataset raise requests.exceptions.ConnectTimeout | closed | 1 | 2021-02-04T05:55:23 | 2022-06-01T15:38:42 | 2022-06-01T15:38:42 | Alxe1 | [] | 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... | false |
800,870,652 | https://api.github.com/repos/huggingface/datasets/issues/1817 | https://github.com/huggingface/datasets/issues/1817 | 1,817 | pyarrow.lib.ArrowInvalid: Column 1 named input_ids expected length 599 but got length 1500 | closed | 2 | 2021-02-04T02:30:23 | 2022-10-05T12:42:57 | 2022-10-05T12:42:57 | LuCeHe | [] | 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... | false |
800,660,995 | https://api.github.com/repos/huggingface/datasets/issues/1816 | https://github.com/huggingface/datasets/pull/1816 | 1,816 | Doc2dial rc update to latest version | closed | 1 | 2021-02-03T20:08:54 | 2021-02-15T15:15:24 | 2021-02-15T15:04:33 | songfeng | [] | true | |
800,610,017 | https://api.github.com/repos/huggingface/datasets/issues/1815 | https://github.com/huggingface/datasets/pull/1815 | 1,815 | Add CCAligned Multilingual Dataset | closed | 7 | 2021-02-03T18:59:52 | 2021-03-01T12:33:03 | 2021-03-01T10:36:21 | gchhablani | [] | 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... | true |
800,516,236 | https://api.github.com/repos/huggingface/datasets/issues/1814 | https://github.com/huggingface/datasets/pull/1814 | 1,814 | Add Freebase QA Dataset | closed | 1 | 2021-02-03T16:57:49 | 2021-02-04T19:47:51 | 2021-02-04T16:21:48 | gchhablani | [] | Closes PR #1435. Fixed issues with PR #1809.
Requesting @lhoestq to review. | true |
800,435,973 | https://api.github.com/repos/huggingface/datasets/issues/1813 | https://github.com/huggingface/datasets/pull/1813 | 1,813 | Support future datasets | closed | 0 | 2021-02-03T15:26:49 | 2021-02-05T10:33:48 | 2021-02-05T10:33:47 | lhoestq | [] | If a dataset is available at the version of the local installation of `datasets` (e.g. 1.2.0), then loading this dataset means loading the script at this version.
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... | true |
799,379,178 | https://api.github.com/repos/huggingface/datasets/issues/1812 | https://github.com/huggingface/datasets/pull/1812 | 1,812 | Add CIFAR-100 Dataset | closed | 2 | 2021-02-02T15:22:59 | 2021-02-08T11:10:18 | 2021-02-08T10:39:06 | gchhablani | [] | Adding CIFAR-100 Dataset. | true |
799,211,060 | https://api.github.com/repos/huggingface/datasets/issues/1811 | https://github.com/huggingface/datasets/issues/1811 | 1,811 | Unable to add Multi-label Datasets | closed | 4 | 2021-02-02T11:50:56 | 2021-02-18T14:16:31 | 2021-02-18T14:16:31 | gchhablani | [] | 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... | false |
799,168,650 | https://api.github.com/repos/huggingface/datasets/issues/1810 | https://github.com/huggingface/datasets/issues/1810 | 1,810 | Add Hateful Memes Dataset | open | 4 | 2021-02-02T10:53:59 | 2021-12-08T12:03:59 | null | gchhablani | [
"dataset request",
"vision"
] | ## 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... | false |
799,059,141 | https://api.github.com/repos/huggingface/datasets/issues/1809 | https://github.com/huggingface/datasets/pull/1809 | 1,809 | Add FreebaseQA dataset | closed | 6 | 2021-02-02T08:35:53 | 2021-02-03T17:15:05 | 2021-02-03T16:43:06 | gchhablani | [] | Adding FreebaseQA dataset suggested in PR #1435 with minor edits. Also closes that PR.
Requesting @lhoestq to review. | true |
798,879,180 | https://api.github.com/repos/huggingface/datasets/issues/1808 | https://github.com/huggingface/datasets/issues/1808 | 1,808 | writing Datasets in a human readable format | closed | 3 | 2021-02-02T02:55:40 | 2022-06-01T15:38:13 | 2022-06-01T15:38:13 | ghost | [
"enhancement",
"question"
] | 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 | false |
798,823,591 | https://api.github.com/repos/huggingface/datasets/issues/1807 | https://github.com/huggingface/datasets/pull/1807 | 1,807 | Adding an aggregated dataset for the GEM benchmark | closed | 1 | 2021-02-02T00:39:53 | 2021-02-02T22:48:41 | 2021-02-02T18:06:58 | yjernite | [] | 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... | true |
798,607,869 | https://api.github.com/repos/huggingface/datasets/issues/1806 | https://github.com/huggingface/datasets/pull/1806 | 1,806 | Update details to MLSUM dataset | closed | 1 | 2021-02-01T18:35:12 | 2021-02-01T18:46:28 | 2021-02-01T18:46:21 | padipadou | [] | Update details to MLSUM dataset | true |
798,498,053 | https://api.github.com/repos/huggingface/datasets/issues/1805 | https://github.com/huggingface/datasets/issues/1805 | 1,805 | can't pickle SwigPyObject objects when calling dataset.get_nearest_examples from FAISS index | closed | 2 | 2021-02-01T16:14:17 | 2021-03-06T14:32:46 | 2021-03-06T14:32:46 | abarbosa94 | [] | 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 ... | false |
798,483,881 | https://api.github.com/repos/huggingface/datasets/issues/1804 | https://github.com/huggingface/datasets/pull/1804 | 1,804 | Add SICK dataset | closed | 0 | 2021-02-01T15:57:44 | 2021-02-05T17:46:28 | 2021-02-05T15:49:25 | calpt | [] | Adds the SICK dataset (http://marcobaroni.org/composes/sick.html).
Closes #1772.
Edit: also closes #1632, which is the original issue requesting the dataset. The newer one is a duplicate. | true |
798,243,904 | https://api.github.com/repos/huggingface/datasets/issues/1803 | https://github.com/huggingface/datasets/issues/1803 | 1,803 | Querying examples from big datasets is slower than small datasets | closed | 8 | 2021-02-01T11:08:23 | 2021-08-04T18:11:01 | 2021-08-04T18:10:42 | lhoestq | [] | 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... | false |
797,924,468 | https://api.github.com/repos/huggingface/datasets/issues/1802 | https://github.com/huggingface/datasets/pull/1802 | 1,802 | add github of contributors | closed | 3 | 2021-02-01T03:49:19 | 2021-02-03T10:09:52 | 2021-02-03T10:06:30 | thevasudevgupta | [] | This PR will add contributors GitHub id at the end of every dataset cards. | true |
797,814,275 | https://api.github.com/repos/huggingface/datasets/issues/1801 | https://github.com/huggingface/datasets/pull/1801 | 1,801 | [GEM] Updated the source link of the data to update correct tokenized version. | closed | 2 | 2021-01-31T21:17:19 | 2021-02-02T13:17:38 | 2021-02-02T13:17:28 | mounicam | [] | true | |
797,798,689 | https://api.github.com/repos/huggingface/datasets/issues/1800 | https://github.com/huggingface/datasets/pull/1800 | 1,800 | Add DuoRC Dataset | closed | 1 | 2021-01-31T20:01:59 | 2021-02-03T05:01:45 | 2021-02-02T22:49:26 | gchhablani | [] | 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... | true |
797,789,439 | https://api.github.com/repos/huggingface/datasets/issues/1799 | https://github.com/huggingface/datasets/pull/1799 | 1,799 | Update: SWDA - Fixed code to use all metadata features. Added comments and cleaned c… | closed | 1 | 2021-01-31T19:18:55 | 2021-02-09T22:06:13 | 2021-02-09T15:49:58 | gmihaila | [] | 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... | true |
797,766,818 | https://api.github.com/repos/huggingface/datasets/issues/1798 | https://github.com/huggingface/datasets/pull/1798 | 1,798 | Add Arabic sarcasm dataset | closed | 1 | 2021-01-31T17:38:55 | 2021-02-10T20:39:13 | 2021-02-03T10:35:54 | mapmeld | [] | This MIT license dataset: https://github.com/iabufarha/ArSarcasm
Via https://sites.google.com/view/ar-sarcasm-sentiment-detection/ | true |
797,357,901 | https://api.github.com/repos/huggingface/datasets/issues/1797 | https://github.com/huggingface/datasets/issues/1797 | 1,797 | Connection error | closed | 1 | 2021-01-30T07:32:45 | 2021-08-04T18:09:37 | 2021-08-04T18:09:37 | smile0925 | [] | 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` | false |
797,329,905 | https://api.github.com/repos/huggingface/datasets/issues/1796 | https://github.com/huggingface/datasets/issues/1796 | 1,796 | Filter on dataset too much slowww | open | 12 | 2021-01-30T04:09:19 | 2025-05-15T13:19:55 | null | ayubSubhaniya | [] | 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... | false |
797,021,730 | https://api.github.com/repos/huggingface/datasets/issues/1795 | https://github.com/huggingface/datasets/pull/1795 | 1,795 | Custom formatting for lazy map + arrow data extraction refactor | closed | 8 | 2021-01-29T16:35:53 | 2022-07-30T09:50:11 | 2021-02-05T09:54:06 | lhoestq | [] | 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... | true |
796,975,588 | https://api.github.com/repos/huggingface/datasets/issues/1794 | https://github.com/huggingface/datasets/pull/1794 | 1,794 | Move silicone directory | closed | 0 | 2021-01-29T15:33:15 | 2021-01-29T16:31:39 | 2021-01-29T16:31:38 | lhoestq | [] | The dataset was added in #1761 but not in the right directory. I'm moving it to /datasets | true |
796,940,299 | https://api.github.com/repos/huggingface/datasets/issues/1793 | https://github.com/huggingface/datasets/pull/1793 | 1,793 | Minor fix the docstring of load_metric | closed | 0 | 2021-01-29T14:47:35 | 2021-01-29T16:53:32 | 2021-01-29T16:53:32 | albertvillanova | [] | Minor fix:
- duplicated attributes
- format fix | true |
796,934,627 | https://api.github.com/repos/huggingface/datasets/issues/1792 | https://github.com/huggingface/datasets/pull/1792 | 1,792 | Allow loading dataset in-memory | closed | 3 | 2021-01-29T14:39:50 | 2021-02-12T14:13:28 | 2021-02-12T14:13:28 | albertvillanova | [] | Allow loading datasets either from:
- memory-mapped file (current implementation)
- from file descriptor, copying data to physical memory
Close #708 | true |
796,924,519 | https://api.github.com/repos/huggingface/datasets/issues/1791 | https://github.com/huggingface/datasets/pull/1791 | 1,791 | Small fix with corrected logging of train vectors | closed | 0 | 2021-01-29T14:26:06 | 2021-01-29T18:51:10 | 2021-01-29T17:05:07 | TezRomacH | [] | Now you can set `train_size` to the whole dataset size via `train_size = -1` and login writes not `Training the index with the first -1 vectors` but (for example) `Training the index with the first 16123 vectors`. And maybe more than dataset length. Logging will be correct | true |
796,678,157 | https://api.github.com/repos/huggingface/datasets/issues/1790 | https://github.com/huggingface/datasets/issues/1790 | 1,790 | ModuleNotFoundError: No module named 'apache_beam', when specific languages. | open | 8 | 2021-01-29T08:17:24 | 2021-03-25T12:10:51 | null | miyamonz | [] | ```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... | false |
796,229,721 | https://api.github.com/repos/huggingface/datasets/issues/1789 | https://github.com/huggingface/datasets/pull/1789 | 1,789 | [BUG FIX] typo in the import path for metrics | closed | 0 | 2021-01-28T18:01:37 | 2021-01-28T18:13:56 | 2021-01-28T18:13:56 | yjernite | [] | This tiny PR fixes a typo introduced in https://github.com/huggingface/datasets/pull/1726 which prevents loading new metrics | true |
795,544,422 | https://api.github.com/repos/huggingface/datasets/issues/1788 | https://github.com/huggingface/datasets/pull/1788 | 1,788 | Doc2dial rc | closed | 0 | 2021-01-27T23:51:00 | 2021-01-28T18:46:13 | 2021-01-28T18:46:13 | songfeng | [] | true | |
795,485,842 | https://api.github.com/repos/huggingface/datasets/issues/1787 | https://github.com/huggingface/datasets/pull/1787 | 1,787 | Update the CommonGen citation information | closed | 0 | 2021-01-27T22:12:47 | 2021-01-28T13:56:29 | 2021-01-28T13:56:29 | yuchenlin | [] | true | |
795,462,816 | https://api.github.com/repos/huggingface/datasets/issues/1786 | https://github.com/huggingface/datasets/issues/1786 | 1,786 | How to use split dataset | closed | 2 | 2021-01-27T21:37:47 | 2021-04-23T15:17:39 | 2021-04-23T15:17:39 | kkhan188 | [
"question"
] | 
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... | false |
795,458,856 | https://api.github.com/repos/huggingface/datasets/issues/1785 | https://github.com/huggingface/datasets/issues/1785 | 1,785 | Not enough disk space (Needed: Unknown size) when caching on a cluster | closed | 9 | 2021-01-27T21:30:59 | 2024-12-04T02:57:00 | 2021-01-30T01:07:56 | olinguyen | [] | 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... | false |
794,659,174 | https://api.github.com/repos/huggingface/datasets/issues/1784 | https://github.com/huggingface/datasets/issues/1784 | 1,784 | JSONDecodeError on JSON with multiple lines | closed | 2 | 2021-01-27T00:19:22 | 2021-01-31T08:47:18 | 2021-01-31T08:47:18 | gchhablani | [] | 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... | false |
794,544,495 | https://api.github.com/repos/huggingface/datasets/issues/1783 | https://github.com/huggingface/datasets/issues/1783 | 1,783 | Dataset Examples Explorer | closed | 2 | 2021-01-26T20:39:02 | 2021-02-01T13:58:44 | 2021-02-01T13:58:44 | ChewKokWah | [] | 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 ... | false |
794,167,920 | https://api.github.com/repos/huggingface/datasets/issues/1782 | https://github.com/huggingface/datasets/pull/1782 | 1,782 | Update pyarrow import warning | closed | 0 | 2021-01-26T11:47:11 | 2021-01-26T13:50:50 | 2021-01-26T13:50:49 | lhoestq | [] | Update the minimum version to >=0.17.1 in the pyarrow version check and update the message.
I also moved the check at the top of the __init__.py | true |
793,914,556 | https://api.github.com/repos/huggingface/datasets/issues/1781 | https://github.com/huggingface/datasets/issues/1781 | 1,781 | AttributeError: module 'pyarrow' has no attribute 'PyExtensionType' during import | closed | 9 | 2021-01-26T04:18:35 | 2024-07-07T17:55:12 | 2022-10-05T12:37:06 | PalaashAgrawal | [] | I'm using Colab. And suddenly this morning, there is this error. Have a look below!
| false |
793,882,132 | https://api.github.com/repos/huggingface/datasets/issues/1780 | https://github.com/huggingface/datasets/pull/1780 | 1,780 | Update SciFact URL | closed | 7 | 2021-01-26T02:49:06 | 2021-01-28T18:48:00 | 2021-01-28T10:19:45 | dwadden | [] | 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... | true |
793,539,703 | https://api.github.com/repos/huggingface/datasets/issues/1779 | https://github.com/huggingface/datasets/pull/1779 | 1,779 | Ignore definition line number of functions for caching | closed | 0 | 2021-01-25T16:42:29 | 2021-01-26T10:20:20 | 2021-01-26T10:20:19 | lhoestq | [] | As noticed in #1718 , when a function used for processing with `map` is moved inside its python file, then the change of line number causes the caching mechanism to consider it as a different function. Therefore in this case, it recomputes everything.
This is because we were not ignoring the line number definition f... | true |
793,474,507 | https://api.github.com/repos/huggingface/datasets/issues/1778 | https://github.com/huggingface/datasets/pull/1778 | 1,778 | Narrative QA Manual | closed | 6 | 2021-01-25T15:22:31 | 2021-01-29T09:35:14 | 2021-01-29T09:34:51 | rsanjaykamath | [] | Submitting the manual version of Narrative QA script which requires a manual download from the original repository | true |
793,273,770 | https://api.github.com/repos/huggingface/datasets/issues/1777 | https://github.com/huggingface/datasets/issues/1777 | 1,777 | GPT2 MNLI training using run_glue.py | closed | 0 | 2021-01-25T10:53:52 | 2021-01-25T11:12:53 | 2021-01-25T11:12:53 | nlp-student | [] | Edit: I'm closing this because I actually meant to post this in `transformers `not `datasets`
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... | false |
792,755,249 | https://api.github.com/repos/huggingface/datasets/issues/1776 | https://github.com/huggingface/datasets/issues/1776 | 1,776 | [Question & Bug Report] Can we preprocess a dataset on the fly? | closed | 6 | 2021-01-24T09:28:24 | 2021-05-20T04:15:58 | 2021-05-20T04:15:58 | shuaihuaiyi | [] | 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... | false |
792,742,120 | https://api.github.com/repos/huggingface/datasets/issues/1775 | https://github.com/huggingface/datasets/issues/1775 | 1,775 | Efficient ways to iterate the dataset | closed | 2 | 2021-01-24T07:54:31 | 2021-01-24T09:50:39 | 2021-01-24T09:50:39 | zhongpeixiang | [] | 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 | false |
792,730,559 | https://api.github.com/repos/huggingface/datasets/issues/1774 | https://github.com/huggingface/datasets/issues/1774 | 1,774 | is it possible to make slice to be more compatible like python list and numpy? | closed | 2 | 2021-01-24T06:15:52 | 2024-01-31T15:54:18 | 2024-01-31T15:54:18 | world2vec | [] | Hi,
see below error:
```
AssertionError: Requested slice [:10000000000000000] incompatible with 20 examples.
``` | false |
792,708,160 | https://api.github.com/repos/huggingface/datasets/issues/1773 | https://github.com/huggingface/datasets/issues/1773 | 1,773 | bug in loading datasets | closed | 3 | 2021-01-24T02:53:45 | 2021-09-06T08:54:46 | 2021-08-04T18:13:01 | ghost | [] | 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... | false |
792,703,797 | https://api.github.com/repos/huggingface/datasets/issues/1772 | https://github.com/huggingface/datasets/issues/1772 | 1,772 | Adding SICK dataset | closed | 0 | 2021-01-24T02:15:31 | 2021-02-05T15:49:25 | 2021-02-05T15:49:25 | ghost | [
"dataset request"
] | Hi
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... | false |
792,701,276 | https://api.github.com/repos/huggingface/datasets/issues/1771 | https://github.com/huggingface/datasets/issues/1771 | 1,771 | Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/1.2.1/datasets/csv/csv.py | closed | 3 | 2021-01-24T01:53:52 | 2021-01-24T23:06:29 | 2021-01-24T23:06:29 | world2vec | [] | 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... | false |
792,698,148 | https://api.github.com/repos/huggingface/datasets/issues/1770 | https://github.com/huggingface/datasets/issues/1770 | 1,770 | how can I combine 2 dataset with different/same features? | closed | 3 | 2021-01-24T01:26:06 | 2022-06-01T15:43:15 | 2022-06-01T15:43:15 | world2vec | [] | 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'} | false |
792,523,284 | https://api.github.com/repos/huggingface/datasets/issues/1769 | https://github.com/huggingface/datasets/issues/1769 | 1,769 | _pickle.PicklingError: Can't pickle typing.Union[str, NoneType]: it's not the same object as typing.Union when calling datasets.map with num_proc=2 | closed | 4 | 2021-01-23T10:13:00 | 2022-10-05T12:38:51 | 2022-10-05T12:38:51 | shuaihuaiyi | [] | 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... | false |
792,150,745 | https://api.github.com/repos/huggingface/datasets/issues/1768 | https://github.com/huggingface/datasets/pull/1768 | 1,768 | Mention kwargs in the Dataset Formatting docs | closed | 0 | 2021-01-22T16:43:20 | 2021-01-31T12:33:10 | 2021-01-25T09:14:59 | gchhablani | [] | Hi,
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... | true |
792,068,497 | https://api.github.com/repos/huggingface/datasets/issues/1767 | https://github.com/huggingface/datasets/pull/1767 | 1,767 | Add Librispeech ASR | closed | 1 | 2021-01-22T14:54:37 | 2021-01-25T20:38:07 | 2021-01-25T20:37:42 | patrickvonplaten | [] | 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... | true |
792,044,105 | https://api.github.com/repos/huggingface/datasets/issues/1766 | https://github.com/huggingface/datasets/issues/1766 | 1,766 | Issues when run two programs compute the same metrics | closed | 2 | 2021-01-22T14:22:55 | 2021-02-02T10:38:06 | 2021-02-02T10:38:06 | lamthuy | [] | 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... | false |
791,553,065 | https://api.github.com/repos/huggingface/datasets/issues/1765 | https://github.com/huggingface/datasets/issues/1765 | 1,765 | Error iterating over Dataset with DataLoader | closed | 6 | 2021-01-21T22:56:45 | 2022-10-28T02:16:38 | 2021-01-23T03:44:14 | EvanZ | [] | 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... | false |
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