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This PR enables image decoding in `Dataset.__iter__`
Close https://github.com/huggingface/datasets/issues/3473 | {
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"As discussed, I remember I set `decoded=False` here to avoid decoding just by iterating over examples of dataset. We wanted to decode only if the \"audio\" field (for Audio feature) was accessed.",
"> I set decoded=False here to avoid decoding just by iterating over examples of dataset. We wanted to decode only ... | 1,640,186,792,000 | 1,640,614,401,000 | 1,640,272,917,000 | MEMBER | null | ## Describe the bug
If I load `mnist` and I iterate over the dataset, the images are not decoded, and the dictionary with the bytes is returned.
## Steps to reproduce the bug
```python
from datasets import load_dataset
import PIL
mnist = load_dataset("mnist", split="train")
first_image = mnist[0]["image"... | {
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- Yields stripped text
- Fix path for Windows
- Adds license
- Adds more info in dataset card
Close bigscience-workshop/data_tooling#279 | {
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Currently, `ClassLabel` docstring rendering is not right. | {
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"I also modified the doctest call to raise the exception that doctest may catch, instead of `doctest.UnexpectedException`.\r\nThis will make debugging easier if it happens again"
] | 1,640,096,351,000 | 1,640,098,348,000 | 1,640,098,168,000 | MEMBER | null | NLTK 3.6.6 now requires `omw-1.4` to be downloaded for METEOR to work.
This should fix the CI on master | {
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"The CI failures other than a missing dummy data file and missing fields in the card are unrelated to this PR. ",
"Thanks a lot for this great work and fixing TFDS based script @mariosasko 🤗 will generate the dummy dataset and write the model card tomorrow!",
"@mariosasko I added the dataset card, I'm on the d... | 1,640,095,670,000 | 1,641,219,726,000 | null | CONTRIBUTOR | null | This PR adds the MS COCO dataset. Compared to the [TFDS](https://github.com/tensorflow/datasets/blob/master/tensorflow_datasets/object_detection/coco.py) script, this implementation adds 8 additional configs to cover the tasks other than object detection.
Some notes:
* the data exposed by TFDS is contained in the `... | {
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"The change from `___` to `--` was allowed by https://github.com/huggingface/moon-landing/pull/1657"
] | 1,640,095,633,000 | 1,640,106,010,000 | 1,640,106,009,000 | MEMBER | null | When doing `push_to_hub`, the feature types are lost (see issue https://github.com/huggingface/datasets/issues/3394).
This PR fixes this by also pushing a `dataset_infos.json` file to the Hub, that stores the feature types.
Other minor changes:
- renamed the `___` separator to `--`, since `--` is now disallowed in... | {
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"Hi Albert,\r\nThank you for your comments.\r\nI hope I have uploaded my local git repo to include the dummy files and style reworkings.\r\nAdded YAML in Readme as well.\r\n\r\nPlease check again.\r\n\r\nHope it works now :)"
] | 1,640,085,442,000 | 1,641,543,296,000 | null | CONTRIBUTOR | null | Added crass dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/3465 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3465/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3465/comments | https://api.github.com/repos/huggingface/datasets/issues/3465/events | https://github.com/huggingface/datasets/issues/3465 | 1,085,400,432 | I_kwDODunzps5AseVw | 3,465 | Unable to load 'cnn_dailymail' dataset | {
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"Hi @talha1503, thanks for reporting.\r\n\r\nIt seems there is an issue with one of the data files hosted at Google Drive:\r\n```\r\nGoogle Drive - Quota exceeded\r\n\r\nSorry, you can't view or download this file at this time.\r\n\r\nToo many users have viewed or downloaded this file recently. Please try accessing... | 1,640,057,541,000 | 1,645,107,237,000 | 1,645,107,237,000 | NONE | null | ## Describe the bug
I wanted to load cnn_dailymail dataset from huggingface datasets on Google Colab, but I am getting an error while loading it.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('cnn_dailymail', '3.0.0', ignore_verifications = True)
```
## Expe... | {
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"Hi ! Can you try setting `datasets.config.MAX_TABLE_NBYTES_FOR_PICKLING` to a smaller value than `4 << 30` (4GiB), for example `500 << 20` (500MiB) ? It should reduce the maximum size of the arrow table being pickled during multiprocessing.\r\n\r\nIf it fixes the issue, we can consider lowering the default value f... | 1,640,057,341,000 | 1,641,396,213,000 | null | NONE | null | ## Describe the bug
A clear and concise description of what the bug is.
using latest datasets=datasets-1.16.1-py3-none-any.whl
process my own multilingual dataset by following codes, and the number of rows in all dataset is 306000, the max_length of each sentence is 256:
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Fix #3462.
Close bigscience-workshop/data_tooling#107 | {
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## Adding a Dataset
- **Name:** swahili_news
Instructions to add a new dataset can be found [he... | {
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Related to #3437. | {
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https://api.github.com/repos/huggingface/datasets/issues/3460 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3460/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3460/comments | https://api.github.com/repos/huggingface/datasets/issues/3460/events | https://github.com/huggingface/datasets/pull/3460 | 1,085,002,469 | PR_kwDODunzps4wFyCf | 3,460 | Don't encode lists as strings when using `Value("string")` | {
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This PR fixes this and should fix the issue with WER showing low values if the input format is not right. | {
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"I think this is a duplicate of [#3190](https://github.com/huggingface/datasets/issues/3190)?",
"Upgrading the datasets version as per #3190 fixes this bug. \r\nI'm Marking as closed."
] | 1,640,017,009,000 | 1,640,018,097,000 | 1,640,018,097,000 | NONE | null | ## Describe the bug
When using dataset.select to select a subset of a dataset, dataset._indices are set to indicate which elements are now considered in the dataset.
The same thing happens when you shuffle the dataset; dataset._indices are set to indicate what the new order of the data is.
However, if you then use a... | {
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"CI is failing just because of empty sections - merging"
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- **Name:** CMU Graphics Lab Motion Capture database
- **Description:** The database contains free motions which you can download and use.
- **Data:** http://mocap.cs.cmu.edu/
- **Motivation:** Nice motion capture dataset
Instructions to add a new dataset can be found [here](https://github.c... | {
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https://api.github.com/repos/huggingface/datasets/issues/3456 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3456/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3456/comments | https://api.github.com/repos/huggingface/datasets/issues/3456/events | https://github.com/huggingface/datasets/pull/3456 | 1,084,687,973 | PR_kwDODunzps4wEwXz | 3,456 | [WER] Better error message for wer | {
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"Hi ! I don't think this would solve this issue.\r\nCurrently it looks like there's a bug that converts the list `[\"hello it's nice\"]` to a string `'[\"hello it's nice\"]'` since this is what the metric expects as input. The conversion is done before the data are passed to `_compute()`.\r\n\r\nThis is `Value(\"st... | 1,640,000,320,000 | 1,640,019,217,000 | 1,640,019,216,000 | MEMBER | null | Currently we have the following problem when using the WER. When the input format to the WER metric is wrong, instead of throwing an error message a word-error-rate is computed which is incorrect. E.g. when doing the following:
```python
from datasets import load_metric
wer = load_metric("wer")
target_str ... | {
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"Hi ! I guess you are talking about the dataset cards that are in this repository on github ?\r\n\r\nI think github allows to submit a PR even for 1 line though the `Edit file` button on the page of the dataset card.\r\n\r\nMaybe let's mention this in `CONTRIBUTING.md` ?"
] | 1,639,995,043,000 | 1,640,011,739,000 | null | CONTRIBUTOR | null | **Is your feature request related to a problem? Please describe.**
It requires a lot of effort to improve a datasheet.
**Describe the solution you'd like**
UI or at least a link to the place where the code that needs to be edited is (and an easy way to edit this code directly from the site, without cloning, branc... | {
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- Adds tests to DownloadManager and StreamingDownloadManager `iter_archive` for both path and file inputs
- Fixes bugs in `iter_archive` introduced in:
- #3443
Fix #3453. | {
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"followers_... | null | [] | 1,639,989,978,000 | 1,639,994,699,000 | 1,639,994,699,000 | MEMBER | null | ## Describe the bug
After the merge of:
- #3443
the method `iter_archive` throws a ValueError:
```
ValueError: read of closed file
```
## Steps to reproduce the bug
```python
for path, file in dl_manager.iter_archive(archive_path):
pass
```
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"Hi ! It's simply not added yet :)\r\n\r\nIf someone wants to contribute to add the `stratify` parameter I'd be happy to give some pointers.\r\n\r\nIn the meantime, I guess you can use `sklearn` or other tools to do a stratified train/test split over the **indices** of your dataset and then do\r\n```\r\ntrain_datas... | 1,639,823,867,000 | 1,643,036,625,000 | null | NONE | null | why the stratify option is omitted from test_train_split function?
is there any other way implement the stratify option while splitting the dataset? as it is important point to be considered while splitting the dataset. | {
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https://api.github.com/repos/huggingface/datasets/issues/3451 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3451/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3451/comments | https://api.github.com/repos/huggingface/datasets/issues/3451/events | https://github.com/huggingface/datasets/pull/3451 | 1,083,459,137 | PR_kwDODunzps4wA5LP | 3,451 | [Staging] Update dataset repos automatically on the Hub | {
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"do keep us updated on how it's going in staging! cc @SBrandeis ",
"Sure ! For now it works smoothly. We'll also do a new release today.\r\n\r\nI can send you some repos to explore on staging, in case you want to see how they look like after being updated.\r\nFor example [swahili_news](https://moon-staging.huggin... | 1,639,761,131,000 | 1,640,082,346,000 | 1,640,009,391,000 | MEMBER | null | Let's have a script that updates the dataset repositories on staging for now. This way we can make sure it works fine before going in prod.
Related to https://github.com/huggingface/datasets/issues/3341
The script runs on each commit on `master`. It checks the datasets that were changed, and it pushes the changes... | {
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"Hi ! This is an issue with `datasets` 1.12. Sorry for the inconvenience. Can you update to `>=1.13` ?\r\nsee https://github.com/huggingface/datasets/issues/3190\r\n\r\nMaybe we should also backport the bug fix to `1.12` (in a new version `1.12.2`)"
] | 1,639,760,439,000 | 1,640,011,897,000 | null | NONE | null | ## Describe the bug
I observed unexpected behavior when applying 'train_test_split' followed by 'filter' on dataset. Elements of the training dataset eventually end up in the test dataset (after applying the 'filter')
## Steps to reproduce the bug
```
from datasets import Dataset
import pandas as pd
dic = {'x'... | {
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"I was going through the codebase, and I believe the implementation of __add__() and __iadd__() will be similar to concatenate_datasets() after the elimination of code for arguments other than the list of datasets (info, split, axis). \r\n(Assuming elimination of axis means concatenating over axis 1.)"
] | 1,639,754,951,000 | 1,640,343,970,000 | null | NONE | null | **Is your feature request related to a problem? Please describe.**
No.
**Describe the solution you'd like**
I would like to be able to concatenate datasets as follows:
```python
>>> dataset["train"] += dataset["validation"]
```
... instead of using `concatenate_datasets()`:
```python
>>> raw_datasets["trai... | {
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"Hi ! I think the issue comes from the dataset_infos.json file: it has the \"flat\" field twice.\r\n\r\nCan you try deleting this file and regenerating it please ?",
"Thanks! That fixed that, but now I am getting:\r\nServer Error\r\nStatus code: 400\r\nException: KeyError\r\nMessage: 'feature'\r\n\r\n... | 1,639,745,561,000 | 1,640,008,852,000 | null | NONE | null | ## Dataset viewer issue for 'pubmed_neg'
**Link:** https://huggingface.co/datasets/IGESML/pubmed_neg
I am getting the error:
Status code: 400
Exception: JSONDecodeError
Message: Expecting property name enclosed in double quotes: line 61 column 2 (char 1202)
I have checked all files - I am not u... | {
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"Hi ! Indeed it says \"downloading and preparing\" but in your case it didn't need to download anything since you used local files (it would have thrown an error otherwise). I think we can improve the logging to make it clearer in this case",
"@lhoestq Thank you for explaining. I am sorry but I was not clear abou... | 1,639,680,673,000 | 1,645,107,387,000 | 1,645,107,387,000 | NONE | null | ## Describe the bug
According to https://huggingface.co/docs/datasets/loading_datasets.html#loading-a-dataset-builder, setting HF_DATASETS_OFFLINE to 1 should make datasets to "run in full offline mode". It didn't work for me. At the very beginning, datasets still tried to download "custom data configuration" for JSON... | {
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"Cool, I'm in favor of this PR. Our official examples in speech already make use of `\"audio\"` so no need to change anything there. It would be great if we could prominently feature how one can get the audio path without decoding in the docs.",
"@patrickvonplaten Yes, I agree.\r\n\r\ncc @stevhliu we should add a... | 1,639,672,515,000 | 1,639,675,804,000 | null | CONTRIBUTOR | null | Remove the redundant path information in the audio/image dataset as discussed in https://github.com/huggingface/datasets/pull/3430#issuecomment-994734828
TODOs:
* [ ] merge https://github.com/huggingface/datasets/pull/3430
* [ ] merge https://github.com/huggingface/datasets/pull/3364
* [ ] re-generate the info fi... | {
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"Hi ! What's your question ?"
] | 1,639,670,220,000 | 1,641,204,540,000 | 1,641,204,540,000 | NONE | null | ## Dataset viewer issue for '*name of the dataset*'
**Link:** *link to the dataset viewer page*
*short description of the issue*
Am I the one who added this dataset ? Yes-No
| {
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"Yes I agree, these should be as aligned as possible. Maybe we can also check the feedback in the survey at http://hf.co/oss-survey and see if people mentioned related things on the API (in particular if we go the breaking change way, it would be good to be sure we are taking the right direction for the community).... | 1,639,653,971,000 | 1,640,099,740,000 | null | MEMBER | null | ## Intro
Currently the two classes have two distinct API for processing:
### The `.map()` method
Both have those parameters in common: function, batched, batch_size
- IterableDataset is missing those parameters:
with_indices, with_rank, input_columns, drop_last_batch, remove_columns, features, disable_null... | {
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With this feature, we can iterate over a tar file inside another tar file. | {
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"The parameter can also be named `split_by` with values \"line\", \"paragraph\" or \"document\" (no 's' at the end)",
"> The parameter can also be named `split_by` with values \"line\", \"paragraph\" or \"document\" (no 's' at the end)\r\n\r\n@lhoestq @mariosasko I would avoid the term `split` in this context and... | 1,639,639,997,000 | 1,640,019,550,000 | 1,640,018,358,000 | MEMBER | null | Add `config.row` option to `text` module to allow yielding lines (default, current case), paragraphs or documents.
Feel free to comment on the name of the config parameter `row`:
- Currently, the docs state datasets are made of rows and columns
- Other names I considered: `example`, `item` | {
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"I'll take this one if no one hasn't yet!"
] | 1,639,607,179,000 | 1,640,704,625,000 | null | MEMBER | null | ## Adding a Dataset
- **Name:** QuALITY
- **Description:** A challenging question answering with very long contexts (Twitter [thread](https://twitter.com/sleepinyourhat/status/1471225421794529281?s=20))
- **Paper:** No ArXiv link yet, but draft is [here](https://github.com/nyu-mll/quality/blob/main/quality_preprint.... | {
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"Hi ! What version of `datasets` are you using ? Can you also provide the logs you get before it raises the error ?"
] | 1,639,603,582,000 | 1,639,668,747,000 | null | NONE | null | ## Describe the bug
Hi,
I am trying to avoid dataset library using cached files, I get the following bug when this tried to read the cached files. I tried to do the followings:
```
from datasets import set_caching_enabled
set_caching_enabled(False)
```
also force redownlaod:
```
download_mode='force_redownloa... | {
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"Awesome thanks a lot @mariosasko "
] | 1,639,594,845,000 | 1,639,670,120,000 | 1,639,670,119,000 | CONTRIBUTOR | null | Closes #3369.
cc: @patrickvonplaten | {
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"seems like a very very low-prio improvement :)",
"@albertvillanova thanks for the feedback! I removed the formatting altogether since I think this is a bit simpler tor read than non-rendered Markdown"
] | 1,639,586,087,000 | 1,639,747,706,000 | 1,639,747,705,000 | MEMBER | null | The description of BLEURT on the hf.co website has a strange use of URL hyperlinking. This PR attempts to fix this, although I am not 100% sure Markdown syntax is allowed on the frontend or not.
![Screen Shot 2021-12-15 at 17 31 27](https://user-images.githubusercontent.com/26859204/146226432-c83cbdaf-f57d-4999-b53c... | {
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"I wanted to flag a change from since we discussed this: I initially wrote a function for using the Wikimedia APIs to collect namespace aliases, but decided that adding in more http requests to the script wasn't a great idea so instead used that code to build a static list that I just added directly to the code.\r\... | 1,639,575,006,000 | 1,644,511,832,000 | null | NONE | null | * More structured approach to detecting redirects
* Remove redundant template filter code (covered by strip_code)
* Add language-specific lists of additional media namespace aliases for filtering
* Add language-specific lists of category namespace aliases for new link text cleaning step
* Remove magic words (parser... | {
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- **Name:** The People's Speech
- **Description:** a massive English-language dataset of audio transcriptions of full sentences.
- **Paper:** https://openreview.net/pdf?id=R8CwidgJ0yT
- **Data:** https://mlcommons.org/en/peoples-speech/
- **Motivation:** With over 30,000 hours of speech, this ... | {
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- **Name:** Multilingual Spoken Words
- **Description:** Multilingual Spoken Words Corpus is a large and growing audio dataset of spoken words in 50 languages for academic research and commercial applications in keyword spotting and spoken term search, licensed under CC-BY 4.0. The dataset contain... | {
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"Hi ! `load_dataset` accepts as input either a local dataset directory or a dataset name from the Hugging Face Hub.\r\n\r\nSo here you are getting this error the second time because it tries to load the local `wiki_dpr` directory, instead of `wiki_dpr` from the Hub. It doesn't work since it's a **cache** directory,... | 1,639,494,135,000 | 1,640,084,526,000 | null | NONE | null | when I rerun my program, it occurs this error
" Unable to resolve any data file that matches '['**train*']' at /data2/whr/lzy/open_domain_data/retrieval/wiki_dpr with any supported extension ['csv', 'tsv', 'json', 'jsonl', 'parquet', 'txt', 'zip']", so how could i deal with this problem?
thx.
And below is my code .
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"Closing this PR for now due to https://github.com/huggingface/datasets/issues/3145#issuecomment-993664104.",
"Okay, after some more thinking, I'm re-opening this PR for three reasons:\r\n* This feature will allow us to remove the `image_file_path`/`audio_file_path` columns in our vision/audio datasets. Currently... | 1,639,491,308,000 | 1,643,137,072,000 | 1,643,137,072,000 | CONTRIBUTOR | null | Add the `decode` argument (`True` by default) to the `Audio` and the `Image` feature to make it possible to toggle on/off decoding of these features.
Even though we've discussed that on Slack, I'm not removing the `_storage_dtype` argument of the Audio feature in this PR to avoid breaking the Audio feature tests. | {
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https://api.github.com/repos/huggingface/datasets/issues/3429 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3429/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3429/comments | https://api.github.com/repos/huggingface/datasets/issues/3429/events | https://github.com/huggingface/datasets/pull/3429 | 1,078,902,390 | PR_kwDODunzps4vx1gp | 3,429 | Make cast cacheable (again) on Windows | {
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```
Parameter 'function'=<function Dataset.cast.<locals>.<lambda> at 0x000001C930571EA0> of the transform datasets.arrow_dataset.Dataset._map_single couldn't be hashed properly, a random hash was used instead. Make sure your transforms and parameter... | {
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https://api.github.com/repos/huggingface/datasets/issues/3428 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3428/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3428/comments | https://api.github.com/repos/huggingface/datasets/issues/3428/events | https://github.com/huggingface/datasets/pull/3428 | 1,078,863,468 | PR_kwDODunzps4vxtNT | 3,428 | Clean squad dummy data | {
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https://api.github.com/repos/huggingface/datasets/issues/3427 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3427/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3427/comments | https://api.github.com/repos/huggingface/datasets/issues/3427/events | https://github.com/huggingface/datasets/pull/3427 | 1,078,782,159 | PR_kwDODunzps4vxb_y | 3,427 | Add The Pile Enron Emails subset | {
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- Enron Emails subset of The Pile: "enron_emails" config
Close bigscience-workshop/data_tooling#310.
CC: @StellaAthena | {
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https://api.github.com/repos/huggingface/datasets/issues/3426 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3426/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3426/comments | https://api.github.com/repos/huggingface/datasets/issues/3426/events | https://github.com/huggingface/datasets/pull/3426 | 1,078,670,031 | PR_kwDODunzps4vxEN5 | 3,426 | Update disaster_response_messages download urls (+ add validation split) | {
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https://api.github.com/repos/huggingface/datasets/issues/3425 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3425/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3425/comments | https://api.github.com/repos/huggingface/datasets/issues/3425/events | https://github.com/huggingface/datasets/issues/3425 | 1,078,598,140 | I_kwDODunzps5AShn8 | 3,425 | Getting configs names takes too long | {
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"maybe related to https://github.com/huggingface/datasets/issues/2859\r\n",
"It looks like it's currently calling `HfFileSystem.ls()` ~8 times at the root and for each subdirectory:\r\n- \"\"\r\n- \"en.noblocklist\"\r\n- \"en.noclean\"\r\n- \"en\"\r\n- \"multilingual\"\r\n- \"realnewslike\"\r\n\r\nCurrently `ls` ... | 1,639,405,677,000 | 1,639,407,213,000 | null | CONTRIBUTOR | null |
## Steps to reproduce the bug
```python
from datasets import get_dataset_config_names
get_dataset_config_names("allenai/c4")
```
## Expected results
I would expect to get the answer quickly, at least in less than 10s
## Actual results
It takes about 45s on my environment
## Environment info
- `d... | {
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https://api.github.com/repos/huggingface/datasets/issues/3424 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3424/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3424/comments | https://api.github.com/repos/huggingface/datasets/issues/3424/events | https://github.com/huggingface/datasets/pull/3424 | 1,078,543,625 | PR_kwDODunzps4vwpNt | 3,424 | Add RedCaps dataset | {
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"Cool ! If you want you can include `dataset_infos.json` but only for the main configurations. That's what we do for example for translation datasets when there are too many configs",
"@lhoestq I've added an example that uses `map` to download the images."
] | 1,639,402,693,000 | 1,641,996,796,000 | 1,641,996,795,000 | CONTRIBUTOR | null | Add the RedCaps dataset. I'm not adding the generated `dataset_infos.json` file for now due to its size (11 MB).
TODOs:
- [x] dummy data
- [x] dataset card
Close #3316 | {
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https://api.github.com/repos/huggingface/datasets/issues/3423 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3423/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3423/comments | https://api.github.com/repos/huggingface/datasets/issues/3423/events | https://github.com/huggingface/datasets/issues/3423 | 1,078,049,638 | I_kwDODunzps5AQbtm | 3,423 | data duplicate when setting num_works > 1 with streaming data | {
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"Hi ! Thanks for reporting :)\r\n\r\nWhen using a PyTorch's data loader with `num_workers>1` and an iterable dataset, each worker streams the exact same data by default, resulting in duplicate data when iterating using the data loader.\r\n\r\nWe can probably fix this in `datasets` by checking `torch.utils.data.get_... | 1,639,366,997,000 | 1,639,479,210,000 | null | NONE | null | ## Describe the bug
The data is repeated num_works times when we load_dataset with streaming and set num_works > 1 when construct dataloader
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
import pandas as pd
import numpy as np
import os
from datasets import load_dataset
from tor... | {
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https://api.github.com/repos/huggingface/datasets/issues/3422 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3422/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3422/comments | https://api.github.com/repos/huggingface/datasets/issues/3422/events | https://github.com/huggingface/datasets/issues/3422 | 1,078,022,619 | I_kwDODunzps5AQVHb | 3,422 | Error about load_metric | {
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"Hi ! I wasn't able to reproduce your error.\r\n\r\nCan you try to clear your cache at `~/.cache/huggingface/modules` and try again ?"
] | 1,639,363,791,000 | 1,641,564,407,000 | 1,641,564,407,000 | NONE | null | ## Describe the bug
File "/opt/conda/lib/python3.8/site-packages/datasets/load.py", line 1371, in load_metric
metric = metric_cls(
TypeError: 'NoneType' object is not callable
## Steps to reproduce the bug
```python
metric = load_metric("glue", "sst2")
```
## Environment info
- `datasets` version: ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3421 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3421/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3421/comments | https://api.github.com/repos/huggingface/datasets/issues/3421/events | https://github.com/huggingface/datasets/pull/3421 | 1,077,966,571 | PR_kwDODunzps4vuvJK | 3,421 | Adding mMARCO dataset | {
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"Hi @albertvillanova we've made a major overhaul of the loading script including all configurations we're making available. Could you please review it again?",
"@albertvillanova :ping_pong: ",
"Thanks @lhbonifacio for adding this dataset.\r\nHi there, i got an error about mmarco:\r\nConnectionError: Couldn't re... | 1,639,357,003,000 | 1,642,068,386,000 | null | NONE | null | Adding mMARCO (v1.1) to HF datasets. | {
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https://api.github.com/repos/huggingface/datasets/issues/3420 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3420/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3420/comments | https://api.github.com/repos/huggingface/datasets/issues/3420/events | https://github.com/huggingface/datasets/pull/3420 | 1,077,913,468 | PR_kwDODunzps4vukyD | 3,420 | Add eli5_category dataset | {
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"> Thanks a lot for adding this dataset ! Good job with the dataset card and the dataset scripts - they're really good :)\r\n> \r\n> I just added minor changes\r\n\r\nThanks for fixing typos!"
] | 1,639,344,645,000 | 1,639,504,383,000 | 1,639,504,382,000 | CONTRIBUTOR | null | This pull request adds a categorized Long-form question answering dataset `ELI5_Category`. It's a new variant of the [ELI5](https://huggingface.co/datasets/eli5) dataset that uses the Reddit tags to alleviate the training/validation overlapping in the origin ELI5 dataset.
A [report](https://celeritasml.netlify.app/p... | {
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https://api.github.com/repos/huggingface/datasets/issues/3419 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3419/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3419/comments | https://api.github.com/repos/huggingface/datasets/issues/3419/events | https://github.com/huggingface/datasets/issues/3419 | 1,077,350,974 | I_kwDODunzps5ANxI- | 3,419 | `.to_json` is extremely slow after `.select` | {
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"Hi ! It's slower indeed because a datasets on which `select`/`shard`/`train_test_split`/`shuffle` has been called has to do additional steps to retrieve the data of the dataset table in the right order.\r\n\r\nIndeed, if you call `dataset.select([0, 5, 10])`, the underlying table of the dataset is not altered to k... | 1,639,186,591,000 | 1,640,101,747,000 | null | CONTRIBUTOR | null | ## Describe the bug
Saving a dataset to JSON with `to_json` is extremely slow after using `.select` on the original dataset.
## Steps to reproduce the bug
```python
from datasets import load_dataset
original = load_dataset("squad", split="train")
original.to_json("from_original.json") # Takes 0 seconds
se... | {
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Fix #3399.
CC: @geohci, @yjernite | {
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The following paragraph in the QED repo explains the purpose of this field:
>Each annotation in referential_equalities is a pair of spans, the question_reference ... | {
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"Hi, thanks for reporting! This is a duplicate of https://github.com/huggingface/datasets/issues/3240. We are working on a fix.\r\n\r\n"
] | 1,639,144,157,000 | 1,639,492,709,000 | 1,639,492,709,000 | NONE | null | ## Dataset viewer issue for '* disaster_response_messages*'
**Link:** https://huggingface.co/datasets/disaster_response_messages
Dataset unavailable. Link dead: https://datasets.appen.com/appen_datasets/disaster_response_data/disaster_response_messages_training.csv
Am I the one who added this dataset ?No
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https://api.github.com/repos/huggingface/datasets/issues/3415 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3415/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3415/comments | https://api.github.com/repos/huggingface/datasets/issues/3415/events | https://github.com/huggingface/datasets/issues/3415 | 1,076,472,534 | I_kwDODunzps5AKarW | 3,415 | Non-deterministic tests: CI tests randomly fail | {
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"I think it might come from two different issues:\r\n1. Google Drive is an unreliable host, mainly because of quota limitations\r\n2. the staging environment can sometimes raise some errors\r\n\r\nFor Google Drive tests we could set up some retries with backup URLs if necessary I guess.\r\nFor staging on the other ... | 1,639,116,539,000 | 1,639,490,479,000 | null | MEMBER | null | ## Describe the bug
Some CI tests fail randomly.
1. In https://github.com/huggingface/datasets/pull/3375/commits/c10275fe36085601cb7bdb9daee9a8f1fc734f48, there were 3 failing tests, only on Linux:
```
=========================== short test summary info ============================
FAILED tests/test_str... | {
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Fix #3181 (finally :))
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TODOs:
* [x] dataset card
* [x] dummy data | {
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https://api.github.com/repos/huggingface/datasets/issues/3411 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3411/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3411/comments | https://api.github.com/repos/huggingface/datasets/issues/3411/events | https://github.com/huggingface/datasets/issues/3411 | 1,075,846,272 | I_kwDODunzps5AIByA | 3,411 | [chinese wwm] load_datasets behavior not as expected when using run_mlm_wwm.py script | {
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"@LysandreJik not so sure who to @\r\nCould you help?",
"Hi @hyusterr, I believe it is @wlhgtc from https://github.com/huggingface/transformers/pull/9887"
] | 1,639,072,475,000 | 1,640,172,093,000 | null | NONE | null | ## Describe the bug
Model I am using (Bert, XLNet ...): bert-base-chinese
The problem arises when using:
* [https://github.com/huggingface/transformers/blob/master/examples/research_projects/mlm_wwm/run_mlm_wwm.py] the official example scripts: `rum_mlm_wwm.py`
The tasks I am working on is: pretraining whole ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3409 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3409/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3409/comments | https://api.github.com/repos/huggingface/datasets/issues/3409/events | https://github.com/huggingface/datasets/pull/3409 | 1,075,684,593 | PR_kwDODunzps4vnpU0 | 3,409 | Pass new_fingerprint in multiprocessing | {
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Currently one can pass `new_fingerprint` to `.map()` to use a custom fingerprint instead of the one computed by hashing the map transform. However it's ignored if `num_proc>1`.
In this PR I fixed that by passing `new_fingerprint` to `._map_single()` when... | {
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"Fixed, thanks\r\n<img width=\"661\" alt=\"Capture d’écran 2021-12-22 à 12 02 30\" src=\"https://user-images.githubusercontent.com/1676121/147082881-cf700e8d-0511-4431-b214-d6cf8137db10.png\">\r\n"
] | 1,639,060,442,000 | 1,640,170,973,000 | 1,640,170,973,000 | MEMBER | null | ## Dataset viewer issue for '*name of the dataset*'
**Link:** *link to the dataset viewer page*
*short description of the issue*
When creating an empty dataset repo, the Dataset Preview provides a helpful message that no files were found. There is a tiny typo in that message: "ressource" should be "resource"
... | {
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https://api.github.com/repos/huggingface/datasets/issues/3407 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3407/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3407/comments | https://api.github.com/repos/huggingface/datasets/issues/3407/events | https://github.com/huggingface/datasets/pull/3407 | 1,074,502,225 | PR_kwDODunzps4vjyrB | 3,407 | Use max number of data files to infer module | {
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"Cool thanks :) Feel free to merge if it's all good for you"
] | 1,638,975,523,000 | 1,639,501,722,000 | 1,639,501,722,000 | MEMBER | null | When inferring the module for datasets without script, set a maximum number of iterations over data files.
This PR fixes the issue of taking too long when hundred of data files present.
Please, feel free to agree on both numbers:
```
# Datasets without script
DATA_FILES_MAX_NUMBER = 10
ARCHIVED_DATA_FILES_MAX... | {
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Fix #3405. | {
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https://api.github.com/repos/huggingface/datasets/issues/3405 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3405/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3405/comments | https://api.github.com/repos/huggingface/datasets/issues/3405/events | https://github.com/huggingface/datasets/issues/3405 | 1,074,360,362 | I_kwDODunzps5ACXAq | 3,405 | ZIP format inference does not work when files located in a dir inside the archive | {
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When a zipped file contains archived files within a directory, the function `infer_module_for_data_files_in_archives` does not work.
It only works for files located in the root directory of the ZIP file.
## Steps to reproduce the bug
```python
infer_module_for_data_files_in_archives(["path/... | {
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When hundreds of ZIP files are present in a dataset, format inference takes too long.
See: https://github.com/bigscience-workshop/data_tooling/issues/232#issuecomment-986685497
**Describe the solution you'd like**
Iterate over a maximum number o... | {
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https://api.github.com/repos/huggingface/datasets/issues/3403 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3403/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3403/comments | https://api.github.com/repos/huggingface/datasets/issues/3403/events | https://github.com/huggingface/datasets/issues/3403 | 1,073,622,120 | I_kwDODunzps4__ixo | 3,403 | Cannot import name 'maybe_sync' | {
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"Hi ! Can you try updating `fsspec` ? The minimum version is `2021.05.0`",
"hey @lhoestq. I'm using `fsspec-2021.11.1` but still getting that error.",
"Maybe this discussion can help:\r\n\r\nhttps://github.com/fsspec/filesystem_spec/issues/597#issuecomment-958646964",
"Thanks @lhoestq. Downgrading `fsspec and... | 1,638,899,879,000 | 1,639,724,435,000 | 1,639,724,435,000 | CONTRIBUTOR | null | ## Describe the bug
Cannot seem to import datasets when running run_summarizer.py script on a VM set up on ovhcloud
## Steps to reproduce the bug
```python
from datasets import load_dataset
```
## Expected results
No error
## Actual results
Traceback (most recent call last):
File "<stdin>", line 1, in... | {
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https://api.github.com/repos/huggingface/datasets/issues/3401 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3401/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3401/comments | https://api.github.com/repos/huggingface/datasets/issues/3401/events | https://github.com/huggingface/datasets/issues/3401 | 1,073,603,508 | I_kwDODunzps4__eO0 | 3,401 | Add Wikimedia pre-processed datasets | {
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- **Name:** Add pre-processed data to:
- *wikimedia/wikipedia*: https://huggingface.co/datasets/wikimedia/wikipedia
- *wikimedia/wikisource*: https://huggingface.co/datasets/wikimedia/wikisource
- **Description:** Add pre-processed data to the Hub for all languages
- **Paper:** *link to the... | {
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https://api.github.com/repos/huggingface/datasets/issues/3400 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3400/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3400/comments | https://api.github.com/repos/huggingface/datasets/issues/3400/events | https://github.com/huggingface/datasets/issues/3400 | 1,073,600,382 | I_kwDODunzps4__dd- | 3,400 | Improve Wikipedia loading script | {
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"Thanks! See https://public.paws.wmcloud.org/User:Isaac_(WMF)/HuggingFace%20Wikipedia%20Processing.ipynb for more implementation details / some data around the overhead induced by adding the extra preprocessing steps (stripping link prefixes and magic words)"
] | 1,638,898,165,000 | 1,638,908,751,000 | null | MEMBER | null | As reported by @geohci, the "wikipedia" processing/loading script could be improved by some additional small suggested processing functions:
- _extract_content(filepath):
- Replace .startswith("#redirect") with more structured approach: if elem.find(f"./{namespace}redirect") is None: continue
- _parse_and_clean_wi... | {
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https://api.github.com/repos/huggingface/datasets/issues/3399 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3399/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3399/comments | https://api.github.com/repos/huggingface/datasets/issues/3399/events | https://github.com/huggingface/datasets/issues/3399 | 1,073,593,861 | I_kwDODunzps4__b4F | 3,399 | Add Wikisource dataset | {
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"See notebook by @geohci: https://public.paws.wmcloud.org/User:Isaac_(WMF)/HuggingFace%20Wikisource%20Processing.ipynb"
] | 1,638,897,691,000 | 1,639,157,186,000 | null | MEMBER | null | ## Adding a Dataset
- **Name:** *wikisource*
- **Description:** *short description of the dataset (or link to social media or blog post)*
- **Paper:** *link to the dataset paper if available*
- **Data:** *link to the Github repository or current dataset location*
- **Motivation:** Additional high quality textual d... | {
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https://api.github.com/repos/huggingface/datasets/issues/3398 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3398/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3398/comments | https://api.github.com/repos/huggingface/datasets/issues/3398/events | https://github.com/huggingface/datasets/issues/3398 | 1,073,590,384 | I_kwDODunzps4__bBw | 3,398 | Add URL field to Wikimedia dataset instances: wikipedia,... | {
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This sh... | {
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"\r\n> Also, maybe calling the dataset as \"bnl_historical_newspapers\" and setting \"processed\" as one configuration name?\r\n\r\nThis sounds like a good idea but my only question around this is how easy it would be to use the same approach for processing the other newspaper collections [https://data.bnl.lu/data/... | 1,638,891,801,000 | 1,642,444,534,000 | 1,642,444,534,000 | CONTRIBUTOR | null | This pull request adds the BNL's [processed newspaper collections](https://data.bnl.lu/data/historical-newspapers/) as a dataset. This is partly done to support BigScience see: https://github.com/bigscience-workshop/data_tooling/issues/192.
The Datacard is more sparse than I would like but I plan to make a separate... | {
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"https://huggingface.co/datasets/projecte-aina/parlament_parla -> works (but we still have to show an audio player)\r\n\r\nhttps://huggingface.co/datasets/openslr -> another issue: `Message: [Errno 2] No such file or directory: '/home/hf/datasets-preview-backend/zip:/asr_javanese/data/00/00004fe6aa.flac'`",
... | 1,638,889,896,000 | 1,641,833,320,000 | null | MEMBER | null | ## Dataset viewer issue for '*openslr*', '*projecte-aina/parlament_parla*'
**Link:** *https://huggingface.co/datasets/openslr*
**Link:** *https://huggingface.co/datasets/projecte-aina/parlament_parla*
Error:
```
Status code: 400
Exception: ImportError
Message: To support decoding audio files, ple... | {
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"According to this [comment in the forum](https://discuss.huggingface.co/t/save-datasetdict-to-huggingface-hub/12075/8?u=lhoestq), using `push_to_hub` on a dataset with `ClassLabel` can also make the feature simply disappear when it's reloaded !",
"Maybe we can also fix https://github.com/huggingface/datasets/iss... | 1,638,886,110,000 | 1,640,106,009,000 | 1,640,106,009,000 | CONTRIBUTOR | null | Currently, if one of the dataset features is of type `ClassLabel`, saving the dataset with `push_to_hub` and reloading the dataset with `load_dataset` will return the feature of type `Value`. To fix this, we should do something similar to `save_to_disk` (which correctly preserves the types) and not only push the parque... | {
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- **Name:** *Common Voice Belarusian Dataset*
- **Description:** *[commonvoice.mozilla.org/be](https://commonvoice.mozilla.org/be)*
- **Data:** *[commonvoice.mozilla.org/be/datasets](https://commonvoice.mozilla.org/be/datasets)*
- **Motivation:** *It has more than 7GB of data, so it will be grea... | {
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"This issue was fixed by me calling `all_datasets.push_to_hub(\"hackernews_hiring_posts\")`.\r\n\r\nThe previous problems were from calling `all_datasets.save_to_disk` and then pushing with `my_repo.git_add` and `my_repo.push_to_hub`.\r\n"
] | 1,638,866,461,000 | 1,638,885,868,000 | 1,638,885,868,000 | CONTRIBUTOR | null | ## Dataset viewer issue for `dansbecker/hackernews_hiring_posts`
**Link:** https://huggingface.co/datasets/dansbecker/hackernews_hiring_posts
*short description of the issue*
Dataset preview not showing for uploaded DatasetDict. See https://discuss.huggingface.co/t/dataset-preview-not-showing-for-uploaded-data... | {
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"duplicate of #2655"
] | 1,638,845,059,000 | 1,638,845,127,000 | 1,638,845,127,000 | CONTRIBUTOR | null | **Is your feature request related to a problem? Please describe.**
* There is currently no way to select some columns of a dataset. In pandas, one can use `df[['col1', 'col2']]` to select columns, but in `datasets`, it results in error.
**Describe the solution you'd like**
* A new method that can be used to cr... | {
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"Got solved it with push_to_hub, closing"
] | 1,638,814,969,000 | 1,638,822,125,000 | 1,638,822,125,000 | NONE | null | ## Describe the bug
I have prepared dataset to datasets and now I am trying to load it back Finnish-NLP/voxpopuli_fi
I get "KeyError: 'Field "builder_name" does not exist in table schema'"
My dataset folder and files should be like @patrickvonplaten has here https://huggingface.co/datasets/flax-community/german-c... | {
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"cc @juliensimon "
] | 1,638,799,571,000 | 1,638,799,581,000 | null | MEMBER | null | ## Adding a Dataset
- **Name:** EDGAR Database
- **Description:** https://www.sec.gov/edgar/about EDGAR, the Electronic Data Gathering, Analysis, and Retrieval system, is the primary system for companies and others submitting documents under the Securities Act of 1933, the Securities Exchange Act of 1934, the Trust I... | {
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"CI failed because of a server error - merging"
] | 1,638,788,971,000 | 1,638,789,903,000 | 1,638,789,889,000 | MEMBER | null | The test is flaky, here is an example of random CI failure:
https://github.com/huggingface/datasets/commit/73ed6615b4b3eb74d5311684f7b9e05cdb76c989
I fixed that by not checking the content of the random part of the temporary directory name | {
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This can be useful for datasets which are not exclusively used for language modeling and have more than one column:
- for text classification datasets (with columns "review" and "rating", for example), the Language Modeling ta... | {
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- Fix typos in dataset cards
- Fix Papers With Code ID for:
- Bilingual Corpus of Arabic-English Parallel Tweets
- Tweets Hate Speech Detection
- Add pretty name tags | {
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"Hi ! Thanks for the suggestion :)\r\nIt makes sense to me, and it can surely be implemented by wrapping the user's function to make it a batched function. However I'm not a big fan of the inconsistency it would create with `map`: `with_transform` is batched by default while `map` isn't.\r\n\r\nIs there something y... | 1,638,768,054,000 | 1,642,433,101,000 | null | CONTRIBUTOR | null | **Is your feature request related to a problem? Please describe.**
A `torch.utils.data.Dataset.__getitem__` operates on a single example.
But 🤗 `Datasets.with_transform` doesn't seem to allow non-batched transform.
**Describe the solution you'd like**
Have a `batched=True` argument in `Datasets.with_transfor... | {
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This way, all the languages covered in the translation are available in a easy way. | {
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All tests are passed.
Dummy data generated.
metadata generated. | {
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"Locally the `make quality` passes with the same dependencies. I would suggest upgrading flake8. (I can take care of it in another PR)\r\ncc @lhoestq ",
"Thank you for fixing flake8! I think we are ready to merge then. "
] | 1,638,651,289,000 | 1,639,477,735,000 | 1,639,477,735,000 | CONTRIBUTOR | null | Add typing overloads to Dataset.__getitem__ for mypy
Fixes #3337
**Iterable**
Iterable from `collections` cannot have a type, so you can't do `Iterable[int]` for example. `typing` has a Generic version that builds upon the one from `collections`.
**Flake8**
I had to add `# noqa: F811`, this is a bug from Fl... | {
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"Hi ! Feel free to access `batch[\"audio\"][\"array\"]` and `batch[\"audio\"][\"sampling_rate\"]` instead\r\n\r\n`datasets` 1.16 introduced some changes in `common_voice` and now the `path` field is no longer a path to a local file (but rather the path to the file in the archive it's extracted from)",
"Thanks for... | 1,638,647,951,000 | 1,638,813,162,000 | 1,638,813,162,000 | NONE | null | ## Describe the bug
I am not able to load audio features from common_voice dataset
## Steps to reproduce the bug
```
from datasets import load_dataset
import torchaudio
test_dataset = load_dataset("common_voice", "hi", split="test[:2%]")
resampler = torchaudio.transforms.Resample(48_000, 16_000)
def spe... | {
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If you have a couple of minutes and want to participate in shaping the future of the ecosystem, please share your thoughts:
[**hf.co/oss-survey**](https://hf.co/oss-survey)
(please reply in the above feedback form rather than to this th... | {
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"Hello @lhoestq, thank you for your answer.\r\n\r\nI don't use pytest a lot so I think I might need some help on it :) but I tried some tests for `streaming_download_manager.py` only. I don't know how to test `download_manager.py` since we need to use local files.\r\n\r\n# Comments : \r\n* In **download_manager.py*... | 1,638,579,888,000 | 1,644,590,961,000 | null | CONTRIBUTOR | null | Hello @lhoestq , thank you for your detailed answer on previous PR !
I made this new PR because I misused git on the previous one #3347.
Related issue #3272.
# Comments :
* For extension check I used the `_get_extraction_protocol` function in **download_manager.py** with a slight change and called it `_get_e... | {
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- pubmed
- ubuntu_irc
- europarl
- hacker_news
- nih_exporter
Close bigscience-workshop/data_tooling#301.
CC: @StellaAthena | {
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"@mariosasko I fixed couple of bugs",
"TO-DO: \r\n- [x] Add unlabeled 2017 splits, train and validation splits of 2015\r\n- [x] Add Class Labels as list instead",
"@mariosasko added fine & coarse grained labels, will fix the bugs (currently getting set up with VM, my internet is too slow to run the tests and do... | 1,638,536,127,000 | 1,640,009,641,000 | 1,640,009,640,000 | CONTRIBUTOR | null | This is a draft PR since I ran into few small problems.
I referred to this TFDS code: https://github.com/tensorflow/datasets/blob/2538a08c184d53b37bfcf52cc21dd382572a88f4/tensorflow_datasets/object_detection/coco.py
cc: @mariosasko | {
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"The CI error is due to missing tags in the CLUE dataset card - merging !"
] | 1,638,533,161,000 | 1,638,972,882,000 | 1,638,972,881,000 | CONTRIBUTOR | null | Fix #3374 | {
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https://api.github.com/repos/huggingface/datasets/issues/3375 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3375/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3375/comments | https://api.github.com/repos/huggingface/datasets/issues/3375/events | https://github.com/huggingface/datasets/pull/3375 | 1,070,454,913 | PR_kwDODunzps4vWrXz | 3,375 | Support streaming zipped dataset repo by passing only repo name | {
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"I just tested and I think this only opens one file ? If there are several files in the ZIP, only the first one is opened. To open several files from a ZIP, one has to call `open` several times.\r\n\r\nWhat about updating the CSV loader to make it `download_and_extract` zip files, and open each extracted file ?",
... | 1,638,528,185,000 | 1,639,677,812,000 | 1,639,677,811,000 | MEMBER | null | Proposed solution:
- I have added the method `iter_files` to DownloadManager and StreamingDownloadManager
- I use this in modules: "csv", "json", "text"
- I test for CSV/JSONL/TXT zipped (and non-zipped) files, both in streaming and non-streaming modes
Fix #3373. | {
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