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https://api.github.com/repos/huggingface/datasets/issues/1729 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1729/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1729/comments | https://api.github.com/repos/huggingface/datasets/issues/1729/events | https://github.com/huggingface/datasets/issues/1729 | 784,565,898 | MDU6SXNzdWU3ODQ1NjU4OTg= | 1,729 | Is there support for Deep learning datasets? | {
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"Hi @ZurMaD!\r\nThanks for your interest in 🤗 `datasets`. Support for image datasets is at an early stage, with CIFAR-10 added in #1617 \r\nMNIST is also on the way: #1730 \r\n\r\nIf you feel like adding another image dataset, I would advise starting by reading the [ADD_NEW_DATASET.md](https://github.com/huggingfa... | 1,610,482,961,000 | 1,617,164,647,000 | 1,617,164,647,000 | NONE | null | null | I looked around this repository and looking the datasets I think that there's no support for images-datasets. Or am I missing something? For example to add a repo like this https://github.com/DZPeru/fish-datasets | https://api.github.com/repos/huggingface/datasets/issues/1729/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1728 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1728/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1728/comments | https://api.github.com/repos/huggingface/datasets/issues/1728/events | https://github.com/huggingface/datasets/issues/1728 | 784,458,342 | MDU6SXNzdWU3ODQ0NTgzNDI= | 1,728 | Add an entry to an arrow dataset | {
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"Hi @ameet-1997,\r\nI think what you are looking for is the `concatenate_datasets` function: https://huggingface.co/docs/datasets/processing.html?highlight=concatenate#concatenate-several-datasets\r\n\r\nFor your use case, I would use the [`map` method](https://huggingface.co/docs/datasets/processing.html?highlight... | 1,610,474,507,000 | 1,610,997,332,000 | 1,610,997,332,000 | NONE | null | null | Is it possible to add an entry to a dataset object?
**Motivation: I want to transform the sentences in the dataset and add them to the original dataset**
For example, say we have the following code:
``` python
from datasets import load_dataset
# Load a dataset and print the first examples in the training s... | https://api.github.com/repos/huggingface/datasets/issues/1728/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1727 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1727/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1727/comments | https://api.github.com/repos/huggingface/datasets/issues/1727/events | https://github.com/huggingface/datasets/issues/1727 | 784,435,131 | MDU6SXNzdWU3ODQ0MzUxMzE= | 1,727 | BLEURT score calculation raises UnrecognizedFlagError | {
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"Upgrading tensorflow to version 2.4.0 solved the issue.",
"I still have the same error even with TF 2.4.0.",
"And I have the same error with TF 2.4.1. I believe this issue should be reopened. Any ideas?!",
"I'm seeing the same issue with TF 2.4.1 when running the following in https://colab.research.google.co... | 1,610,472,422,000 | 1,618,266,101,000 | null | NONE | null | null | Calling the `compute` method for **bleurt** metric fails with an `UnrecognizedFlagError` for `FLAGS.bleurt_batch_size`.
My environment:
```
python==3.8.5
datasets==1.2.0
tensorflow==2.3.1
cudatoolkit==11.0.221
```
Test code for reproducing the error:
```
from datasets import load_metric
bleurt = load_me... | https://api.github.com/repos/huggingface/datasets/issues/1727/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1726 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1726/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1726/comments | https://api.github.com/repos/huggingface/datasets/issues/1726/events | https://github.com/huggingface/datasets/pull/1726 | 784,336,370 | MDExOlB1bGxSZXF1ZXN0NTUzNTQ0ODg4 | 1,726 | Offline loading | {
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"It's maybe a bit annoying to add but could we maybe have as well a version of the local data loading scripts in the package?\r\nThe `text`, `json`, `csv`. Thinking about people like in #1725 who are expecting to be able to work with local data without downloading anything.\r\n\r\nMaybe we can add them to package_d... | 1,610,464,917,000 | 1,611,857,122,000 | 1,611,074,552,000 | MEMBER | null | {
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} | As discussed in #824 it would be cool to make the library work in offline mode.
Currently if there's not internet connection then modules (datasets or metrics) that have already been loaded in the past can't be loaded and it raises a ConnectionError.
This is because `prepare_module` fetches online for the latest vers... | https://api.github.com/repos/huggingface/datasets/issues/1726/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1725 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1725/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1725/comments | https://api.github.com/repos/huggingface/datasets/issues/1725/events | https://github.com/huggingface/datasets/issues/1725 | 784,182,273 | MDU6SXNzdWU3ODQxODIyNzM= | 1,725 | load the local dataset | {
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"You should rephrase your question or give more examples and details on what you want to do.\r\n\r\nit’s not possible to understand it and help you with only this information.",
"sorry for that.\r\ni want to know how could i load the train set and the test set from the local ,which api or function should i use .\... | 1,610,453,575,000 | 1,614,768,943,000 | null | NONE | null | null | your guidebook's example is like
>>>from datasets import load_dataset
>>> dataset = load_dataset('json', data_files='my_file.json')
but the first arg is path...
so how should i do if i want to load the local dataset for model training?
i will be grateful if you can help me handle this problem!
thanks a lot! | https://api.github.com/repos/huggingface/datasets/issues/1725/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1723 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1723/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1723/comments | https://api.github.com/repos/huggingface/datasets/issues/1723/events | https://github.com/huggingface/datasets/pull/1723 | 783,982,100 | MDExOlB1bGxSZXF1ZXN0NTUzMjQ4MzU1 | 1,723 | ADD S3 support for downloading and uploading processed datasets | {
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"I created the documentation for `FileSystem Integration for cloud storage` with loading and saving datasets to/from a filesystem with an example of using `datasets.filesystem.S3Filesystem`. I added a note on the `Saving a processed dataset on disk and reload` saying that it is also possible to use other filesystem... | 1,610,435,854,000 | 1,611,680,528,000 | 1,611,680,528,000 | MEMBER | null | {
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} | # What does this PR do?
This PR adds the functionality to load and save `datasets` from and to s3.
You can save `datasets` with either `Dataset.save_to_disk()` or `DatasetDict.save_to_disk`.
You can load `datasets` with either `load_from_disk` or `Dataset.load_from_disk()`, `DatasetDict.load_from_disk()`.
Lo... | https://api.github.com/repos/huggingface/datasets/issues/1723/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1724 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1724/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1724/comments | https://api.github.com/repos/huggingface/datasets/issues/1724/events | https://github.com/huggingface/datasets/issues/1724 | 784,023,338 | MDU6SXNzdWU3ODQwMjMzMzg= | 1,724 | could not run models on a offline server successfully | {
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"Transferred to `datasets` based on the stack trace.",
"Hi @lkcao !\r\nYour issue is indeed related to `datasets`. In addition to installing the package manually, you will need to download the `text.py` script on your server. You'll find it (under `datasets/datasets/text`: https://github.com/huggingface/datasets/... | 1,610,431,686,000 | 1,614,785,549,000 | null | NONE | null | null | Hi, I really need your help about this.
I am trying to fine-tuning a RoBERTa on a remote server, which is strictly banning internet. I try to install all the packages by hand and try to run run_mlm.py on the server. It works well on colab, but when I try to run it on this offline server, it shows:
![image](https://us... | https://api.github.com/repos/huggingface/datasets/issues/1724/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1722 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1722/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1722/comments | https://api.github.com/repos/huggingface/datasets/issues/1722/events | https://github.com/huggingface/datasets/pull/1722 | 783,921,679 | MDExOlB1bGxSZXF1ZXN0NTUzMTk3MTg4 | 1,722 | Added unfiltered versions of the Wiki-Auto training data for the GEM simplification task. | {
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"The current version of Wiki-Auto dataset contains a filtered version of the aligned dataset. The commit adds unfiltered versions of the data that can be useful the GEM task participants."
] | 1,610,429,164,000 | 1,610,475,293,000 | 1,610,472,957,000 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1721 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1721/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1721/comments | https://api.github.com/repos/huggingface/datasets/issues/1721/events | https://github.com/huggingface/datasets/pull/1721 | 783,828,428 | MDExOlB1bGxSZXF1ZXN0NTUzMTIyODQ5 | 1,721 | [Scientific papers] Mirror datasets zip | {
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"> Nice !\r\n> \r\n> Could you try to reduce the size of the dummy_data.zip files ? they're quite big (300KB)\r\n\r\nYes, I think it might make sense to enhance the tool a tiny bit to prevent this automatically",
"That's the lightest I can make it...it's long-range summarization so a single sample has ~11000 toke... | 1,610,414,140,000 | 1,610,452,155,000 | 1,610,451,707,000 | MEMBER | null | {
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} | Datasets were uploading to https://s3.amazonaws.com/datasets.huggingface.co/scientific_papers/1.1.1/arxiv-dataset.zip and https://s3.amazonaws.com/datasets.huggingface.co/scientific_papers/1.1.1/pubmed-dataset.zip respectively to escape google drive quota and enable faster download. | https://api.github.com/repos/huggingface/datasets/issues/1721/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1720 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1720/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1720/comments | https://api.github.com/repos/huggingface/datasets/issues/1720/events | https://github.com/huggingface/datasets/pull/1720 | 783,721,833 | MDExOlB1bGxSZXF1ZXN0NTUzMDM0MzYx | 1,720 | Adding the NorNE dataset for NER | {
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"Quick question, @lhoestq. In this specific dataset, two special types `GPE_LOC` and `GPE_ORG` can easily be altered depending on the task, choosing either the more general `GPE` tag or the more specific `LOC`/`ORG` tags, conflating them with the other annotations of the same type. However, I have not found an easy... | 1,610,400,853,000 | 1,617,200,629,000 | 1,617,199,997,000 | CONTRIBUTOR | null | {
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} | NorNE is a manually annotated corpus of named entities which extends the annotation of the existing Norwegian Dependency Treebank. Comprising both of the official standards of written Norwegian (Bokmål and Nynorsk), the corpus contains around 600,000 tokens and annotates a rich set of entity types including persons, or... | https://api.github.com/repos/huggingface/datasets/issues/1720/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1719 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1719/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1719/comments | https://api.github.com/repos/huggingface/datasets/issues/1719/events | https://github.com/huggingface/datasets/pull/1719 | 783,557,542 | MDExOlB1bGxSZXF1ZXN0NTUyODk3MzY4 | 1,719 | Fix column list comparison in transmit format | {
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} | As noticed in #1718 the cache might not reload the cache files when new columns were added.
This is because of an issue in `transmit_format` where the column list comparison fails because the order was not deterministic. This causes the `transmit_format` to apply an unnecessary `set_format` transform with shuffled col... | https://api.github.com/repos/huggingface/datasets/issues/1719/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1718 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1718/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1718/comments | https://api.github.com/repos/huggingface/datasets/issues/1718/events | https://github.com/huggingface/datasets/issues/1718 | 783,474,753 | MDU6SXNzdWU3ODM0NzQ3NTM= | 1,718 | Possible cache miss in datasets | {
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"Thanks for reporting !\r\nI was able to reproduce thanks to your code and find the origin of the bug.\r\nThe cache was not reusing the same file because one object was not deterministic. It comes from a conversion from `set` to `list` in the `datasets.arrrow_dataset.transmit_format` function, where the resulting l... | 1,610,379,451,000 | 1,619,591,723,000 | 1,611,629,279,000 | NONE | null | null | Hi,
I am using the datasets package and even though I run the same data processing functions, datasets always recomputes the function instead of using cache.
I have attached an example script that for me reproduces the problem.
In the attached example the second map function always recomputes instead of loading fr... | https://api.github.com/repos/huggingface/datasets/issues/1718/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1717 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1717/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1717/comments | https://api.github.com/repos/huggingface/datasets/issues/1717/events | https://github.com/huggingface/datasets/issues/1717 | 783,074,255 | MDU6SXNzdWU3ODMwNzQyNTU= | 1,717 | SciFact dataset - minor changes | {
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"Hi Dave,\r\nYou are more than welcome to open a PR to make these changes! 🤗\r\nYou will find the relevant information about opening a PR in the [contributing guide](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md) and in the [dataset addition guide](https://github.com/huggingface/datasets/blob... | 1,610,342,800,000 | 1,611,629,537,000 | 1,611,629,537,000 | CONTRIBUTOR | null | null | Hi,
SciFact dataset creator here. First of all, thanks for adding the dataset to Huggingface, much appreciated!
I'd like to make a few minor changes, including the citation information and the `_URL` from which to download the dataset. Can I submit a PR for this?
It also looks like the dataset is being downloa... | https://api.github.com/repos/huggingface/datasets/issues/1717/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1716 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1716/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1716/comments | https://api.github.com/repos/huggingface/datasets/issues/1716/events | https://github.com/huggingface/datasets/pull/1716 | 782,819,006 | MDExOlB1bGxSZXF1ZXN0NTUyMjgzNzE5 | 1,716 | Add Hatexplain Dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/1715 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1715/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1715/comments | https://api.github.com/repos/huggingface/datasets/issues/1715/events | https://github.com/huggingface/datasets/pull/1715 | 782,754,441 | MDExOlB1bGxSZXF1ZXN0NTUyMjM2NDA5 | 1,715 | add Korean intonation-aided intention identification dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/1714 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1714/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1714/comments | https://api.github.com/repos/huggingface/datasets/issues/1714/events | https://github.com/huggingface/datasets/pull/1714 | 782,416,276 | MDExOlB1bGxSZXF1ZXN0NTUxOTc3MDA0 | 1,714 | Adding adversarialQA dataset | {
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"Oh that's a really cool one, we'll review/merge it soon!\r\n\r\nIn the meantime, do you have any specific positive/negative feedback on the process of adding a datasets Max?\r\nDid you follow the instruction in the [detailed step-by-step](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md)?",
... | 1,610,142,369,000 | 1,610,553,924,000 | 1,610,553,924,000 | CONTRIBUTOR | null | {
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} | Adding the adversarialQA dataset (https://adversarialqa.github.io/) from Beat the AI (https://arxiv.org/abs/2002.00293) | https://api.github.com/repos/huggingface/datasets/issues/1714/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1713 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1713/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1713/comments | https://api.github.com/repos/huggingface/datasets/issues/1713/events | https://github.com/huggingface/datasets/issues/1713 | 782,337,723 | MDU6SXNzdWU3ODIzMzc3MjM= | 1,713 | Installation using conda | {
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"Yes indeed the idea is to have the next release on conda cc @LysandreJik ",
"Great! Did you guys have a timeframe in mind for the next release?\r\n\r\nThank you for all the great work in developing this library.",
"I think we can have `datasets` on conda by next week. Will see what I can do!",
"Thank you. Lo... | 1,610,133,135,000 | 1,631,882,860,000 | 1,631,882,860,000 | NONE | null | null | Will a conda package for installing datasets be added to the huggingface conda channel? I have installed transformers using conda and would like to use the datasets library to use some of the scripts in the transformers/examples folder but am unable to do so at the moment as datasets can only be installed using pip and... | https://api.github.com/repos/huggingface/datasets/issues/1713/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1712 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1712/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1712/comments | https://api.github.com/repos/huggingface/datasets/issues/1712/events | https://github.com/huggingface/datasets/pull/1712 | 782,313,097 | MDExOlB1bGxSZXF1ZXN0NTUxODkxMDk4 | 1,712 | Silicone | {
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"When should we expect to see our dataset appear in the search dropdown at huggingface.co?",
"Hi @eusip,\r\n\r\n> When should we expect to see our dataset appear in the search dropdown at huggingface.co?\r\n\r\nwhen this PR is merged.",
"Thanks!",
"I've implemented all the changes requested by @lhoestq but I ... | 1,610,130,258,000 | 1,611,238,357,000 | 1,611,225,071,000 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1711 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1711/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1711/comments | https://api.github.com/repos/huggingface/datasets/issues/1711/events | https://github.com/huggingface/datasets/pull/1711 | 782,129,083 | MDExOlB1bGxSZXF1ZXN0NTUxNzQxODA2 | 1,711 | Fix windows path scheme in cached path | {
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} | As noticed in #807 there's currently an issue with `cached_path` not raising `FileNotFoundError` on windows for absolute paths. This is due to the way we check for a path to be local or not. The check on the scheme using urlparse was incomplete.
I fixed this and added tests | https://api.github.com/repos/huggingface/datasets/issues/1711/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1710 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1710/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1710/comments | https://api.github.com/repos/huggingface/datasets/issues/1710/events | https://github.com/huggingface/datasets/issues/1710 | 781,914,951 | MDU6SXNzdWU3ODE5MTQ5NTE= | 1,710 | IsADirectoryError when trying to download C4 | {
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"I haven't tested C4 on my side so there so there may be a few bugs in the code/adjustments to make.\r\nHere it looks like in c4.py, line 190 one of the `files_to_download` is `'/'` which is invalid.\r\nValid files are paths to local files or URLs to remote files."
] | 1,610,091,090,000 | 1,610,531,053,000 | null | NONE | null | null | **TLDR**:
I fail to download C4 and see a stacktrace originating in `IsADirectoryError` as an explanation for failure.
How can the problem be fixed?
**VERBOSE**:
I use Python version 3.7 and have the following dependencies listed in my project:
```
datasets==1.2.0
apache-beam==2.26.0
```
When runn... | https://api.github.com/repos/huggingface/datasets/issues/1710/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1709 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1709/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1709/comments | https://api.github.com/repos/huggingface/datasets/issues/1709/events | https://github.com/huggingface/datasets/issues/1709 | 781,875,640 | MDU6SXNzdWU3ODE4NzU2NDA= | 1,709 | Databases | {
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- **Name:** *name of the dataset*
- **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:** *what are some good reasons t... | https://api.github.com/repos/huggingface/datasets/issues/1709/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1708 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1708/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1708/comments | https://api.github.com/repos/huggingface/datasets/issues/1708/events | https://github.com/huggingface/datasets/issues/1708 | 781,631,455 | MDU6SXNzdWU3ODE2MzE0NTU= | 1,708 | <html dir="ltr" lang="en" class="focus-outline-visible"><head><meta http-equiv="Content-Type" content="text/html; charset=UTF-8"> | {
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- **Name:** *name of the dataset*
- **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:** *what are some good reasons t... | https://api.github.com/repos/huggingface/datasets/issues/1708/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1707 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1707/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1707/comments | https://api.github.com/repos/huggingface/datasets/issues/1707/events | https://github.com/huggingface/datasets/pull/1707 | 781,507,545 | MDExOlB1bGxSZXF1ZXN0NTUxMjE5MDk2 | 1,707 | Added generated READMEs for datasets that were missing one. | {
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"Looks like we need to trim the ones with too many configs, will look into it tomorrow!"
] | 1,610,043,006,000 | 1,610,980,353,000 | 1,610,980,353,000 | MEMBER | null | {
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} | This is it: we worked on a generator with Yacine @yjernite , and we generated dataset cards for all missing ones (161), with all the information we could gather from datasets repository, and using dummy_data to generate examples when possible.
Code is available here for the moment: https://github.com/madlag/datasets... | https://api.github.com/repos/huggingface/datasets/issues/1707/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1706 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1706/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1706/comments | https://api.github.com/repos/huggingface/datasets/issues/1706/events | https://github.com/huggingface/datasets/issues/1706 | 781,494,476 | MDU6SXNzdWU3ODE0OTQ0NzY= | 1,706 | Error when downloading a large dataset on slow connection. | {
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"Hi ! Is this an issue you have with `openwebtext` specifically or also with other datasets ?\r\n\r\nIt looks like the downloaded file is corrupted and can't be extracted using `tarfile`.\r\nCould you try loading it again with \r\n```python\r\nimport datasets\r\ndatasets.load_dataset(\"openwebtext\", download_mode=... | 1,610,041,695,000 | 1,610,534,102,000 | null | CONTRIBUTOR | null | null | I receive the following error after about an hour trying to download the `openwebtext` dataset.
The code used is:
```python
import datasets
datasets.load_dataset("openwebtext")
```
> Traceback (most recent call last): ... | https://api.github.com/repos/huggingface/datasets/issues/1706/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1705 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1705/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1705/comments | https://api.github.com/repos/huggingface/datasets/issues/1705/events | https://github.com/huggingface/datasets/pull/1705 | 781,474,949 | MDExOlB1bGxSZXF1ZXN0NTUxMTkyMTc4 | 1,705 | Add information about caching and verifications in "Load a Dataset" docs | {
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Missing improvements from @lhoestq's #1703. | https://api.github.com/repos/huggingface/datasets/issues/1705/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1704 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1704/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1704/comments | https://api.github.com/repos/huggingface/datasets/issues/1704/events | https://github.com/huggingface/datasets/pull/1704 | 781,402,757 | MDExOlB1bGxSZXF1ZXN0NTUxMTMyNDI1 | 1,704 | Update XSUM Factuality DatasetCard | {
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https://api.github.com/repos/huggingface/datasets/issues/1703 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1703/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1703/comments | https://api.github.com/repos/huggingface/datasets/issues/1703/events | https://github.com/huggingface/datasets/pull/1703 | 781,395,146 | MDExOlB1bGxSZXF1ZXN0NTUxMTI2MjA5 | 1,703 | Improvements regarding caching and fingerprinting | {
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"I few comments here for discussion:\r\n- I'm not convinced yet the end user should really have to understand the difference between \"caching\" and 'fingerprinting\", what do you think? I think fingerprinting should probably stay as an internal thing. Is there a case where we want cahing without fingerprinting or ... | 1,610,033,189,000 | 1,611,077,531,000 | 1,611,077,530,000 | MEMBER | null | {
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} | This PR adds these features:
- Enable/disable caching
If disabled, the library will no longer reload cached datasets files when applying transforms to the datasets.
It is equivalent to setting `load_from_cache` to `False` in dataset transforms.
```python
from datasets import set_caching_enabled
set_cach... | https://api.github.com/repos/huggingface/datasets/issues/1703/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1702 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1702/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1702/comments | https://api.github.com/repos/huggingface/datasets/issues/1702/events | https://github.com/huggingface/datasets/pull/1702 | 781,383,277 | MDExOlB1bGxSZXF1ZXN0NTUxMTE2NDc0 | 1,702 | Fix importlib metdata import in py38 | {
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} | In Python 3.8 there's no need to install `importlib_metadata` since it already exists as `importlib.metadata` in the standard lib. | https://api.github.com/repos/huggingface/datasets/issues/1702/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1701 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1701/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1701/comments | https://api.github.com/repos/huggingface/datasets/issues/1701/events | https://github.com/huggingface/datasets/issues/1701 | 781,345,717 | MDU6SXNzdWU3ODEzNDU3MTc= | 1,701 | Some datasets miss dataset_infos.json or dummy_data.zip | {
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"Thanks for reporting.\r\nWe should indeed add all the missing dummy_data.zip and also the dataset_infos.json at least for lm1b, reclor and wikihow.\r\n\r\nFor c4 I haven't tested the script and I think we'll require some optimizations regarding beam datasets before processing it.\r\n"
] | 1,610,029,033,000 | 1,610,458,846,000 | null | MEMBER | null | null | While working on dataset REAME generation script at https://github.com/madlag/datasets_readme_generator , I noticed that some datasets miss a dataset_infos.json :
```
c4
lm1b
reclor
wikihow
```
And some does not have a dummy_data.zip :
```
kor_nli
math_dataset
mlqa
ms_marco
newsgroup
qa4mre
qanga... | https://api.github.com/repos/huggingface/datasets/issues/1701/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1700 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1700/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1700/comments | https://api.github.com/repos/huggingface/datasets/issues/1700/events | https://github.com/huggingface/datasets/pull/1700 | 781,333,589 | MDExOlB1bGxSZXF1ZXN0NTUxMDc1NTg2 | 1,700 | Update Curiosity dialogs DatasetCard | {
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} | Update Curiosity dialogs DatasetCard
There are some entries in the data fields section yet to be filled. There is little information regarding those fields. | https://api.github.com/repos/huggingface/datasets/issues/1700/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1699 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1699/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1699/comments | https://api.github.com/repos/huggingface/datasets/issues/1699/events | https://github.com/huggingface/datasets/pull/1699 | 781,271,558 | MDExOlB1bGxSZXF1ZXN0NTUxMDIzODE5 | 1,699 | Update DBRD dataset card and download URL | {
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"not sure why the CI was not triggered though"
] | 1,610,021,803,000 | 1,610,026,899,000 | 1,610,026,859,000 | CONTRIBUTOR | null | {
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} | I've added the Dutch Bood Review Dataset (DBRD) during the recent sprint. This pull request makes two minor changes:
1. I'm changing the download URL from Google Drive to the dataset's GitHub release package. This is now possible because of PR #1316.
2. I've updated the dataset card.
Cheers! 😄 | https://api.github.com/repos/huggingface/datasets/issues/1699/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1698 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1698/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1698/comments | https://api.github.com/repos/huggingface/datasets/issues/1698/events | https://github.com/huggingface/datasets/pull/1698 | 781,152,561 | MDExOlB1bGxSZXF1ZXN0NTUwOTI0ODQ3 | 1,698 | Update Coached Conv Pref DatasetCard | {
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"Really cool!\r\n\r\nCan you add some task tags for `dialogue-modeling` (under `sequence-modeling`) and `parsing` (under `structured-prediction`)?"
] | 1,610,010,436,000 | 1,610,125,473,000 | 1,610,125,472,000 | CONTRIBUTOR | null | {
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} | Update Coached Conversation Preferance DatasetCard | https://api.github.com/repos/huggingface/datasets/issues/1698/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1697 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1697/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1697/comments | https://api.github.com/repos/huggingface/datasets/issues/1697/events | https://github.com/huggingface/datasets/pull/1697 | 781,126,579 | MDExOlB1bGxSZXF1ZXN0NTUwOTAzNzI5 | 1,697 | Update DialogRE DatasetCard | {
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"Same as #1698, can you add a task tag for dialogue-modeling (under sequence-modeling) :) ?"
] | 1,610,007,753,000 | 1,610,026,468,000 | 1,610,026,468,000 | CONTRIBUTOR | null | {
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} | Update the information in the dataset card for the Dialog RE dataset. | https://api.github.com/repos/huggingface/datasets/issues/1697/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1696 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1696/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1696/comments | https://api.github.com/repos/huggingface/datasets/issues/1696/events | https://github.com/huggingface/datasets/issues/1696 | 781,096,918 | MDU6SXNzdWU3ODEwOTY5MTg= | 1,696 | Unable to install datasets | {
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"Maybe try to create a virtual env with python 3.8 or 3.7",
"Thanks, @thomwolf! I fixed the issue by downgrading python to 3.7. ",
"Damn sorry",
"Damn sorry"
] | 1,610,004,277,000 | 1,610,065,985,000 | 1,610,057,165,000 | NONE | null | null | ** Edit **
I believe there's a bug with the package when you're installing it with Python 3.9. I recommend sticking with previous versions. Thanks, @thomwolf for the insight!
**Short description**
I followed the instructions for installing datasets (https://huggingface.co/docs/datasets/installation.html). Howev... | https://api.github.com/repos/huggingface/datasets/issues/1696/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1695 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1695/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1695/comments | https://api.github.com/repos/huggingface/datasets/issues/1695/events | https://github.com/huggingface/datasets/pull/1695 | 780,971,987 | MDExOlB1bGxSZXF1ZXN0NTUwNzc1OTU4 | 1,695 | fix ner_tag bugs in thainer | {
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"> Thanks :)\r\n> \r\n> Apparently the dummy_data.zip got removed. Is this expected ?\r\n> Also can you remove the `data-pos.conll` file that you added ?\r\n\r\nNot expected. I forgot to remove the `dummy_data` folder used to create `dummy_data.zip`. \r\nChanged to only `dummy_data.zip`."
] | 1,609,985,553,000 | 1,610,030,625,000 | 1,610,030,608,000 | CONTRIBUTOR | null | {
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} | fix bug that results in `ner_tag` always equal to 'O'. | https://api.github.com/repos/huggingface/datasets/issues/1695/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1694 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1694/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1694/comments | https://api.github.com/repos/huggingface/datasets/issues/1694/events | https://github.com/huggingface/datasets/pull/1694 | 780,429,080 | MDExOlB1bGxSZXF1ZXN0NTUwMzI0Mjcx | 1,694 | Add OSCAR | {
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"Hi @lhoestq, on the OSCAR dataset, the document boundaries are defined by an empty line. Are there any chances to keep this empty line or explicitly group the sentences of a document? I'm asking for this 'cause I need to know if some sentences belong to the same document on my current OSCAR dataset usage.",
"Ind... | 1,609,928,468,000 | 1,611,565,833,000 | 1,611,565,832,000 | MEMBER | null | {
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} | Continuation of #348
The files have been moved to S3 and only the unshuffled version is available.
Both original and deduplicated versions of each language are available.
Example of usage:
```python
from datasets import load_dataset
oscar_dedup_en = load_dataset("oscar", "unshuffled_deduplicated_en", split="... | https://api.github.com/repos/huggingface/datasets/issues/1694/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1693 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1693/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1693/comments | https://api.github.com/repos/huggingface/datasets/issues/1693/events | https://github.com/huggingface/datasets/pull/1693 | 780,268,595 | MDExOlB1bGxSZXF1ZXN0NTUwMTc3MDEx | 1,693 | Fix reuters metadata parsing errors | {
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} | Was missing the last entry in each metadata category | https://api.github.com/repos/huggingface/datasets/issues/1693/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1691 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1691/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1691/comments | https://api.github.com/repos/huggingface/datasets/issues/1691/events | https://github.com/huggingface/datasets/pull/1691 | 779,882,271 | MDExOlB1bGxSZXF1ZXN0NTQ5ODE3NTM0 | 1,691 | Updated HuggingFace Datasets README (fix typos) | {
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} | Awesome work on 🤗 Datasets. I found a couple of small typos in the README. Hope this helps.
| https://api.github.com/repos/huggingface/datasets/issues/1691/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1690 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1690/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1690/comments | https://api.github.com/repos/huggingface/datasets/issues/1690/events | https://github.com/huggingface/datasets/pull/1690 | 779,441,631 | MDExOlB1bGxSZXF1ZXN0NTQ5NDEwOTgw | 1,690 | Fast start up | {
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} | Currently if optional dependencies such as tensorflow, torch, apache_beam, faiss and elasticsearch are installed, then it takes a long time to do `import datasets` since it imports all of these heavy dependencies.
To make a fast start up for `datasets` I changed that so that they are not imported when `datasets` is ... | https://api.github.com/repos/huggingface/datasets/issues/1690/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1689 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1689/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1689/comments | https://api.github.com/repos/huggingface/datasets/issues/1689/events | https://github.com/huggingface/datasets/pull/1689 | 779,107,313 | MDExOlB1bGxSZXF1ZXN0NTQ5MTEwMDgw | 1,689 | Fix ade_corpus_v2 config names | {
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} | There are currently some typos in the config names of the `ade_corpus_v2` dataset, I fixed them:
- Ade_corpos_v2_classificaion -> Ade_corpus_v2_classification
- Ade_corpos_v2_drug_ade_relation -> Ade_corpus_v2_drug_ade_relation
- Ade_corpos_v2_drug_dosage_relation -> Ade_corpus_v2_drug_dosage_relation | https://api.github.com/repos/huggingface/datasets/issues/1689/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1688 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1688/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1688/comments | https://api.github.com/repos/huggingface/datasets/issues/1688/events | https://github.com/huggingface/datasets/pull/1688 | 779,029,685 | MDExOlB1bGxSZXF1ZXN0NTQ5MDM5ODg0 | 1,688 | Fix DaNE last example | {
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} | The last example from the DaNE dataset is empty.
Fix #1686 | https://api.github.com/repos/huggingface/datasets/issues/1688/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1687 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1687/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1687/comments | https://api.github.com/repos/huggingface/datasets/issues/1687/events | https://github.com/huggingface/datasets/issues/1687 | 779,004,894 | MDU6SXNzdWU3NzkwMDQ4OTQ= | 1,687 | Question: Shouldn't .info be a part of DatasetDict? | {
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"We could do something. There is a part of `.info` which is split specific (cache files, split instructions) but maybe if could be made to work.",
"Yes this was kinda the idea I was going for. DatasetDict.info would be the shared info amongs the datasets (maybe even some info on how they differ). "
] | 1,609,852,121,000 | 1,610,014,686,000 | null | CONTRIBUTOR | null | null | Currently, only `Dataset` contains the .info or .features, but as many datasets contains standard splits (train, test) and thus the underlying information is the same (or at least should be) across the datasets.
For instance:
```
>>> ds = datasets.load_dataset("conll2002", "es")
>>> ds.info
Traceback (most rece... | https://api.github.com/repos/huggingface/datasets/issues/1687/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1686 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1686/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1686/comments | https://api.github.com/repos/huggingface/datasets/issues/1686/events | https://github.com/huggingface/datasets/issues/1686 | 778,921,684 | MDU6SXNzdWU3Nzg5MjE2ODQ= | 1,686 | Dataset Error: DaNE contains empty samples at the end | {
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"Thanks for reporting, I opened a PR to fix that",
"One the PR is merged the fix will be available in the next release of `datasets`.\r\n\r\nIf you don't want to wait the next release you can still load the script from the master branch with\r\n\r\n```python\r\nload_dataset(\"dane\", script_version=\"master\")\r\... | 1,609,847,666,000 | 1,609,855,269,000 | 1,609,855,213,000 | CONTRIBUTOR | null | null | The dataset DaNE, contains empty samples at the end. It is naturally easy to remove using a filter but should probably not be there, to begin with as it can cause errors.
```python
>>> import datasets
[...]
>>> dataset = datasets.load_dataset("dane")
[...]
>>> dataset["test"][-1]
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https://api.github.com/repos/huggingface/datasets/issues/1685 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1685/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1685/comments | https://api.github.com/repos/huggingface/datasets/issues/1685/events | https://github.com/huggingface/datasets/pull/1685 | 778,914,431 | MDExOlB1bGxSZXF1ZXN0NTQ4OTM1MzY2 | 1,685 | Update README.md of covid-tweets-japanese | {
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"Thanks for reviewing and merging!"
] | 1,609,847,247,000 | 1,609,928,832,000 | 1,609,925,470,000 | CONTRIBUTOR | null | {
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} | Update README.md of covid-tweets-japanese added by PR https://github.com/huggingface/datasets/pull/1367 and https://github.com/huggingface/datasets/pull/1402.
- Update "Data Splits" to be more precise that no information is provided for now.
- old: [More Information Needed]
- new: No information about data spl... | https://api.github.com/repos/huggingface/datasets/issues/1685/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1684 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1684/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1684/comments | https://api.github.com/repos/huggingface/datasets/issues/1684/events | https://github.com/huggingface/datasets/pull/1684 | 778,356,196 | MDExOlB1bGxSZXF1ZXN0NTQ4NDU3NDY1 | 1,684 | Add CANER Corpus | {
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} | What does this PR do?
Adds the following dataset:
https://github.com/RamziSalah/Classical-Arabic-Named-Entity-Recognition-Corpus
Who can review?
@lhoestq | https://api.github.com/repos/huggingface/datasets/issues/1684/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1683 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1683/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1683/comments | https://api.github.com/repos/huggingface/datasets/issues/1683/events | https://github.com/huggingface/datasets/issues/1683 | 778,287,612 | MDU6SXNzdWU3NzgyODc2MTI= | 1,683 | `ArrowInvalid` occurs while running `Dataset.map()` function for DPRContext | {
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"Looks like the mapping function returns a dictionary with a 768-dim array in the `embeddings` field. Since the map is batched, we actually expect the `embeddings` field to be an array of shape (batch_size, 768) to have one embedding per example in the batch.\r\n\r\nTo fix that can you try to remove one of the `[0]... | 1,609,786,073,000 | 1,609,787,085,000 | 1,609,787,085,000 | CONTRIBUTOR | null | null | It seems to fail the final batch ):
steps to reproduce:
```
from datasets import load_dataset
from elasticsearch import Elasticsearch
import torch
from transformers import file_utils, set_seed
from transformers import DPRContextEncoder, DPRContextEncoderTokenizerFast
MAX_SEQ_LENGTH = 256
ctx_encoder = DPRCon... | https://api.github.com/repos/huggingface/datasets/issues/1683/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1682 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1682/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1682/comments | https://api.github.com/repos/huggingface/datasets/issues/1682/events | https://github.com/huggingface/datasets/pull/1682 | 778,268,156 | MDExOlB1bGxSZXF1ZXN0NTQ4Mzg1NTk1 | 1,682 | Don't use xlrd for xlsx files | {
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} | Since the latest release of `xlrd` (2.0), the support for xlsx files stopped.
Therefore we needed to use something else.
A good alternative is `openpyxl` which has also an integration with pandas si we can still call `pd.read_excel`.
I left the unused import of `openpyxl` in the dataset scripts to show users that ... | https://api.github.com/repos/huggingface/datasets/issues/1682/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1681 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1681/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1681/comments | https://api.github.com/repos/huggingface/datasets/issues/1681/events | https://github.com/huggingface/datasets/issues/1681 | 777,644,163 | MDU6SXNzdWU3Nzc2NDQxNjM= | 1,681 | Dataset "dane" missing | {
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"Hi @KennethEnevoldsen ,\r\nI think the issue might be that this dataset was added during the community sprint and has not been released yet. It will be available with the v2 of datasets.\r\nFor now, you should be able to load the datasets after installing the latest (master) version of datasets using pip:\r\npip i... | 1,609,682,583,000 | 1,609,835,735,000 | 1,609,835,713,000 | CONTRIBUTOR | null | null | the `dane` dataset appear to be missing in the latest version (1.1.3).
```python
>>> import datasets
>>> datasets.__version__
'1.1.3'
>>> "dane" in datasets.list_datasets()
True
```
As we can see it should be present, but doesn't seem to be findable when using `load_dataset`.
```python
>>> datasets.load... | https://api.github.com/repos/huggingface/datasets/issues/1681/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1680 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1680/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1680/comments | https://api.github.com/repos/huggingface/datasets/issues/1680/events | https://github.com/huggingface/datasets/pull/1680 | 777,623,053 | MDExOlB1bGxSZXF1ZXN0NTQ3ODY4MjEw | 1,680 | added TurkishProductReviews dataset | {
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"@lhoestq, can you please review this PR?",
"Thanks for the suggestions. Updates were made and dataset_infos.json file was created again."
] | 1,609,674,779,000 | 1,609,784,135,000 | 1,609,784,135,000 | CONTRIBUTOR | null | {
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} | This PR added **Turkish Product Reviews Dataset contains 235.165 product reviews collected online. There are 220.284 positive, 14881 negative reviews**.
- **Repository:** [turkish-text-data](https://github.com/fthbrmnby/turkish-text-data)
- **Point of Contact:** Fatih Barmanbay - @fthbrmnby | https://api.github.com/repos/huggingface/datasets/issues/1680/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1679 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1679/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1679/comments | https://api.github.com/repos/huggingface/datasets/issues/1679/events | https://github.com/huggingface/datasets/issues/1679 | 777,587,792 | MDU6SXNzdWU3Nzc1ODc3OTI= | 1,679 | Can't import cc100 dataset | {
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"cc100 was added recently, that's why it wasn't available yet.\r\n\r\nTo load it you can just update `datasets`\r\n```\r\npip install --upgrade datasets\r\n```\r\n\r\nand then you can load `cc100` with\r\n\r\n```python\r\nfrom datasets import load_dataset\r\n\r\nlang = \"en\"\r\ndataset = load_dataset(\"cc100\", la... | 1,609,657,976,000 | 1,609,785,698,000 | null | NONE | null | null | There is some issue to import cc100 dataset.
```
from datasets import load_dataset
dataset = load_dataset("cc100")
```
FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/cc100/cc100.py
During handling of the above exception, another exception occur... | https://api.github.com/repos/huggingface/datasets/issues/1679/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1678 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1678/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1678/comments | https://api.github.com/repos/huggingface/datasets/issues/1678/events | https://github.com/huggingface/datasets/pull/1678 | 777,567,920 | MDExOlB1bGxSZXF1ZXN0NTQ3ODI4MTMy | 1,678 | Switchboard Dialog Act Corpus added under `datasets/swda` | {
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"@lhoestq Thank you for your detailed comments! I fixed everything you suggested.\r\n\r\nPlease let me know if I'm missing anything else.",
"It looks like the Transcript and Utterance objects are missing, maybe we can mention it in the README ? Or just add them ? @gmihaila @bhavitvyamalik ",
"Hi @lhoestq,\r\nI'... | 1,609,646,021,000 | 1,610,129,361,000 | 1,609,841,195,000 | CONTRIBUTOR | null | {
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} | Switchboard Dialog Act Corpus
Intro:
The Switchboard Dialog Act Corpus (SwDA) extends the Switchboard-1 Telephone Speech Corpus, Release 2,
with turn/utterance-level dialog-act tags. The tags summarize syntactic, semantic, and pragmatic information
about the associated turn. The SwDA project was undertaken at UC ... | https://api.github.com/repos/huggingface/datasets/issues/1678/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1677 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1677/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1677/comments | https://api.github.com/repos/huggingface/datasets/issues/1677/events | https://github.com/huggingface/datasets/pull/1677 | 777,553,383 | MDExOlB1bGxSZXF1ZXN0NTQ3ODE3ODI1 | 1,677 | Switchboard Dialog Act Corpus added under `datasets/swda` | {
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"Need to fix code formatting."
] | 1,609,636,602,000 | 1,609,642,557,000 | 1,609,642,556,000 | CONTRIBUTOR | null | {
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} | Pleased to announced that I added my first dataset **Switchboard Dialog Act Corpus**.
I think this is an important datasets to be added since it is the only one related to dialogue act classification.
Hope the pull request is ok. Wasn't able to see any special formatting for the pull request form.
The Swi... | https://api.github.com/repos/huggingface/datasets/issues/1677/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1676 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1676/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1676/comments | https://api.github.com/repos/huggingface/datasets/issues/1676/events | https://github.com/huggingface/datasets/pull/1676 | 777,477,645 | MDExOlB1bGxSZXF1ZXN0NTQ3NzY1OTY3 | 1,676 | new version of Ted Talks IWSLT (WIT3) | {
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"> Nice thank you ! Actually as it is a translation dataset we should probably have one configuration = one language pair no ?\r\n> \r\n> Could you use the same trick for this dataset ?\r\n\r\nI was looking for this input, infact I had written a long post on the Slack channel,...(_but unfortunately due to the holid... | 1,609,601,403,000 | 1,610,619,019,000 | 1,610,619,019,000 | CONTRIBUTOR | null | {
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} | In the previous iteration #1608 I had used language pairs. Which created 21,582 configs (109*108) !!!
Now, TED talks in _each language_ is a separate config. So it's more cleaner with _just 109 configs_ (one for each language). Dummy files were created manually.
Locally I was able to clear the `python dataset... | https://api.github.com/repos/huggingface/datasets/issues/1676/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1675 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1675/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1675/comments | https://api.github.com/repos/huggingface/datasets/issues/1675/events | https://github.com/huggingface/datasets/issues/1675 | 777,367,320 | MDU6SXNzdWU3NzczNjczMjA= | 1,675 | Add the 800GB Pile dataset? | {
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"The pile dataset would be very nice.\r\nBenchmarks show that pile trained models achieve better results than most of actually trained models",
"The pile can very easily be added and adapted using this [tfds implementation](https://github.com/EleutherAI/The-Pile/blob/master/the_pile/tfds_pile.py) from the repo. \... | 1,609,541,892,000 | 1,629,392,205,000 | null | MEMBER | null | null | ## Adding a Dataset
- **Name:** The Pile
- **Description:** The Pile is a 825 GiB diverse, open source language modelling data set that consists of 22 smaller, high-quality datasets combined together. See [here](https://twitter.com/nabla_theta/status/1345130408170541056?s=20) for the Twitter announcement
- **Paper:*... | https://api.github.com/repos/huggingface/datasets/issues/1675/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1674 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1674/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1674/comments | https://api.github.com/repos/huggingface/datasets/issues/1674/events | https://github.com/huggingface/datasets/issues/1674 | 777,321,840 | MDU6SXNzdWU3NzczMjE4NDA= | 1,674 | dutch_social can't be loaded | {
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"exactly the same issue in some other datasets.\r\nDid you find any solution??\r\n",
"Hi @koenvandenberge and @alighofrani95!\r\nThe datasets you're experiencing issues with were most likely added recently to the `datasets` library, meaning they have not been released yet. They will be released with the v2 of the... | 1,609,522,628,000 | 1,609,841,821,000 | null | NONE | null | null | Hi all,
I'm trying to import the `dutch_social` dataset described [here](https://huggingface.co/datasets/dutch_social).
However, the code that should load the data doesn't seem to be working, in particular because the corresponding files can't be found at the provided links.
```
(base) Koens-MacBook-Pro:~ koe... | https://api.github.com/repos/huggingface/datasets/issues/1674/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1673 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1673/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1673/comments | https://api.github.com/repos/huggingface/datasets/issues/1673/events | https://github.com/huggingface/datasets/issues/1673 | 777,263,651 | MDU6SXNzdWU3NzcyNjM2NTE= | 1,673 | Unable to Download Hindi Wikipedia Dataset | {
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"Currently this dataset is only available when the library is installed from source since it was added after the last release.\r\n\r\nWe pin the dataset version with the library version so that people can have a reproducible dataset and processing when pinning the library.\r\n\r\nWe'll see if we can provide access ... | 1,609,498,373,000 | 1,609,842,132,000 | 1,609,842,132,000 | NONE | null | null | I used the Dataset Library in Python to load the wikipedia dataset with the Hindi Config 20200501.hi along with something called beam_runner='DirectRunner' and it keeps giving me the error that the file is not found. I have attached the screenshot of the error and the code both. Please help me to understand how to reso... | https://api.github.com/repos/huggingface/datasets/issues/1673/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1672 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1672/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1672/comments | https://api.github.com/repos/huggingface/datasets/issues/1672/events | https://github.com/huggingface/datasets/issues/1672 | 777,258,941 | MDU6SXNzdWU3NzcyNTg5NDE= | 1,672 | load_dataset hang on file_lock | {
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"Can you try to upgrade to a more recent version of datasets?",
"Thank, upgrading to 1.1.3 resolved the issue.",
"Having the same issue with `datasets 1.1.3` of `1.5.0` (both tracebacks look the same) and `kilt_wikipedia`, Ubuntu 20.04\r\n\r\n```py\r\nIn [1]: from datasets import load_dataset ... | 1,609,496,707,000 | 1,617,207,853,000 | 1,609,501,656,000 | NONE | null | null | I am trying to load the squad dataset. Fails on Windows 10 but succeeds in Colab.
Transformers: 3.3.1
Datasets: 1.0.2
Windows 10 (also tested in WSL)
```
datasets.logging.set_verbosity_debug()
datasets.
train_dataset = load_dataset('squad', split='train')
valid_dataset = load_dataset('squad', split='validat... | https://api.github.com/repos/huggingface/datasets/issues/1672/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1671 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1671/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1671/comments | https://api.github.com/repos/huggingface/datasets/issues/1671/events | https://github.com/huggingface/datasets/issues/1671 | 776,652,193 | MDU6SXNzdWU3NzY2NTIxOTM= | 1,671 | connection issue | {
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"Also, mayjor issue for me is the format issue, even if I go through changing the whole code to use load_from_disk, then if I do \r\n\r\nd = datasets.load_from_disk(\"imdb\")\r\nd = d[\"train\"][:10] => the format of this is no more in datasets format\r\nthis is different from you call load_datasets(\"train[10]\")\... | 1,609,365,380,000 | 1,609,754,391,000 | null | NONE | null | null | Hi
I am getting this connection issue, resulting in large failure on cloud, @lhoestq I appreciate your help on this.
If I want to keep the codes the same, so not using save_to_disk, load_from_disk, but save the datastes in the way load_dataset reads from and copy the files in the same folder the datasets library r... | https://api.github.com/repos/huggingface/datasets/issues/1671/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1670 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1670/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1670/comments | https://api.github.com/repos/huggingface/datasets/issues/1670/events | https://github.com/huggingface/datasets/issues/1670 | 776,608,579 | MDU6SXNzdWU3NzY2MDg1Nzk= | 1,670 | wiki_dpr pre-processing performance | {
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"Hi ! And thanks for the tips :) \r\n\r\nIndeed currently `wiki_dpr` takes some time to be processed.\r\nMultiprocessing for dataset generation is definitely going to speed up things.\r\n\r\nRegarding the index note that for the default configurations, the index is downloaded instead of being built, which avoid spe... | 1,609,357,303,000 | 1,611,826,896,000 | null | NONE | null | null | I've been working with wiki_dpr and noticed that the dataset processing is seriously impaired in performance [1]. It takes about 12h to process the entire dataset. Most of this time is simply loading and processing the data, but the actual indexing is also quite slow (3h).
I won't repeat the concerns around multipro... | https://api.github.com/repos/huggingface/datasets/issues/1670/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1669 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1669/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1669/comments | https://api.github.com/repos/huggingface/datasets/issues/1669/events | https://github.com/huggingface/datasets/issues/1669 | 776,608,386 | MDU6SXNzdWU3NzY2MDgzODY= | 1,669 | wiki_dpr dataset pre-processesing performance | {
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"Sorry, double posted."
] | 1,609,357,269,000 | 1,609,357,345,000 | 1,609,357,345,000 | NONE | null | null | I've been working with wiki_dpr and noticed that the dataset processing is seriously impaired in performance [1]. It takes about 12h to process the entire dataset. Most of this time is simply loading and processing the data, but the actual indexing is also quite slow (3h).
I won't repeat the concerns around multipro... | https://api.github.com/repos/huggingface/datasets/issues/1669/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1668 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1668/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1668/comments | https://api.github.com/repos/huggingface/datasets/issues/1668/events | https://github.com/huggingface/datasets/pull/1668 | 776,552,854 | MDExOlB1bGxSZXF1ZXN0NTQ3MDIxODI0 | 1,668 | xed_en_fi dataset Cleanup | {
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https://api.github.com/repos/huggingface/datasets/issues/1667 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1667/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1667/comments | https://api.github.com/repos/huggingface/datasets/issues/1667/events | https://github.com/huggingface/datasets/pull/1667 | 776,446,658 | MDExOlB1bGxSZXF1ZXN0NTQ2OTM4MjAy | 1,667 | Fix NER metric example in Overview notebook | {
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} | Fix errors in `NER metric example` section in `Overview.ipynb`.
```
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-37-ee559b166e25> in <module>()
----> 1 ner_metric = load_metric('seqeval')
... | https://api.github.com/repos/huggingface/datasets/issues/1667/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1666 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1666/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1666/comments | https://api.github.com/repos/huggingface/datasets/issues/1666/events | https://github.com/huggingface/datasets/pull/1666 | 776,432,006 | MDExOlB1bGxSZXF1ZXN0NTQ2OTI2MzQw | 1,666 | Add language to dataset card for Makhzan dataset. | {
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https://api.github.com/repos/huggingface/datasets/issues/1665 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1665/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1665/comments | https://api.github.com/repos/huggingface/datasets/issues/1665/events | https://github.com/huggingface/datasets/pull/1665 | 776,431,087 | MDExOlB1bGxSZXF1ZXN0NTQ2OTI1NTgw | 1,665 | Add language to dataset card for Counter dataset. | {
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https://api.github.com/repos/huggingface/datasets/issues/1664 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1664/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1664/comments | https://api.github.com/repos/huggingface/datasets/issues/1664/events | https://github.com/huggingface/datasets/pull/1664 | 775,956,441 | MDExOlB1bGxSZXF1ZXN0NTQ2NTM1NDcy | 1,664 | removed \n in labels | {
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https://api.github.com/repos/huggingface/datasets/issues/1663 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1663/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1663/comments | https://api.github.com/repos/huggingface/datasets/issues/1663/events | https://github.com/huggingface/datasets/pull/1663 | 775,914,320 | MDExOlB1bGxSZXF1ZXN0NTQ2NTAzMjg5 | 1,663 | update saving and loading methods for faiss index so to accept path l… | {
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"Seems ok for me, what do you think @lhoestq ?"
] | 1,609,251,337,000 | 1,610,962,043,000 | 1,610,962,043,000 | CONTRIBUTOR | null | {
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} | - Update saving and loading methods for faiss index so to accept path like objects from pathlib
The current code only supports using a string type to save and load a faiss index. This change makes it possible to use a string type OR a Path from [pathlib](https://docs.python.org/3/library/pathlib.html). The codes bec... | https://api.github.com/repos/huggingface/datasets/issues/1663/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1662 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1662/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1662/comments | https://api.github.com/repos/huggingface/datasets/issues/1662/events | https://github.com/huggingface/datasets/issues/1662 | 775,890,154 | MDU6SXNzdWU3NzU4OTAxNTQ= | 1,662 | Arrow file is too large when saving vector data | {
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https://api.github.com/repos/huggingface/datasets/issues/1653 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1653/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1653/comments | https://api.github.com/repos/huggingface/datasets/issues/1653/events | https://github.com/huggingface/datasets/pull/1653 | 775,632,945 | MDExOlB1bGxSZXF1ZXN0NTQ2Mjc0Njc0 | 1,653 | harem dataset: add data splits info | {
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https://api.github.com/repos/huggingface/datasets/issues/1652 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1652/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1652/comments | https://api.github.com/repos/huggingface/datasets/issues/1652/events | https://github.com/huggingface/datasets/pull/1652 | 775,571,813 | MDExOlB1bGxSZXF1ZXN0NTQ2MjI1NTM1 | 1,652 | Update dataset cards from previous sprint | {
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https://api.github.com/repos/huggingface/datasets/issues/1651 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1651/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1651/comments | https://api.github.com/repos/huggingface/datasets/issues/1651/events | https://github.com/huggingface/datasets/pull/1651 | 775,554,319 | MDExOlB1bGxSZXF1ZXN0NTQ2MjExMjQw | 1,651 | Add twi wordsim353 | {
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"Well actually it looks like it was already added in #1428 \r\n\r\nMaybe we can close this one ? Or you wanted to make changes to this dataset ?",
"Thank you, it's just a modification of Readme. I added the missing citation.",
"Indeed thanks"
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https://api.github.com/repos/huggingface/datasets/issues/1650 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1650/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1650/comments | https://api.github.com/repos/huggingface/datasets/issues/1650/events | https://github.com/huggingface/datasets/pull/1650 | 775,545,912 | MDExOlB1bGxSZXF1ZXN0NTQ2MjA0MzYy | 1,650 | Update README.md | {
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https://api.github.com/repos/huggingface/datasets/issues/1649 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1649/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1649/comments | https://api.github.com/repos/huggingface/datasets/issues/1649/events | https://github.com/huggingface/datasets/pull/1649 | 775,544,487 | MDExOlB1bGxSZXF1ZXN0NTQ2MjAzMjE1 | 1,649 | Update README.md | {
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https://api.github.com/repos/huggingface/datasets/issues/1647 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1647/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1647/comments | https://api.github.com/repos/huggingface/datasets/issues/1647/events | https://github.com/huggingface/datasets/issues/1647 | 775,525,799 | MDU6SXNzdWU3NzU1MjU3OTk= | 1,647 | NarrativeQA fails to load with `load_dataset` | {
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"Hi @eric-mitchell,\r\nI think the issue might be that this dataset was added during the community sprint and has not been released yet. It will be available with the v2 of `datasets`.\r\nFor now, you should be able to load the datasets after installing the latest (master) version of `datasets` using pip:\r\n`pip i... | 1,609,179,369,000 | 1,609,848,308,000 | 1,609,696,685,000 | NONE | null | null | When loading the NarrativeQA dataset with `load_dataset('narrativeqa')` as given in the documentation [here](https://huggingface.co/datasets/narrativeqa), I receive a cascade of exceptions, ending with
FileNotFoundError: Couldn't find file locally at narrativeqa/narrativeqa.py, or remotely at
https://r... | https://api.github.com/repos/huggingface/datasets/issues/1647/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1646 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1646/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1646/comments | https://api.github.com/repos/huggingface/datasets/issues/1646/events | https://github.com/huggingface/datasets/pull/1646 | 775,499,344 | MDExOlB1bGxSZXF1ZXN0NTQ2MTY4MTk3 | 1,646 | Add missing homepage in some dataset cards | {
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https://api.github.com/repos/huggingface/datasets/issues/1645 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1645/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1645/comments | https://api.github.com/repos/huggingface/datasets/issues/1645/events | https://github.com/huggingface/datasets/pull/1645 | 775,473,106 | MDExOlB1bGxSZXF1ZXN0NTQ2MTQ4OTUx | 1,645 | Rename "part-of-speech-tagging" tag in some dataset cards | {
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} | `part-of-speech-tagging` was not part of the tagging taxonomy under `structure-prediction` | https://api.github.com/repos/huggingface/datasets/issues/1645/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1644 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1644/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1644/comments | https://api.github.com/repos/huggingface/datasets/issues/1644/events | https://github.com/huggingface/datasets/issues/1644 | 775,375,880 | MDU6SXNzdWU3NzUzNzU4ODA= | 1,644 | HoVeR dataset fails to load | {
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"Hover was added recently, that's why it wasn't available yet.\r\n\r\nTo load it you can just update `datasets`\r\n```\r\npip install --upgrade datasets\r\n```\r\n\r\nand then you can load `hover` with\r\n\r\n```python\r\nfrom datasets import load_dataset\r\n\r\ndataset = load_dataset(\"hover\")\r\n```"
] | 1,609,158,427,000 | 1,609,785,991,000 | null | NONE | null | null | Hi! I'm getting an error when trying to load **HoVeR** dataset. Another one (**SQuAD**) does work for me. I'm using the latest (1.1.3) version of the library.
Steps to reproduce the error:
```python
>>> from datasets import load_dataset
>>> dataset = load_dataset("hover")
Traceback (most recent call last):
... | https://api.github.com/repos/huggingface/datasets/issues/1644/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1643 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1643/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1643/comments | https://api.github.com/repos/huggingface/datasets/issues/1643/events | https://github.com/huggingface/datasets/issues/1643 | 775,280,046 | MDU6SXNzdWU3NzUyODAwNDY= | 1,643 | Dataset social_bias_frames 404 | {
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"I see, master is already fixed in https://github.com/huggingface/datasets/commit/9e058f098a0919efd03a136b9b9c3dec5076f626"
] | 1,609,144,534,000 | 1,609,144,687,000 | 1,609,144,687,000 | NONE | null | null | ```
>>> from datasets import load_dataset
>>> dataset = load_dataset("social_bias_frames")
...
Downloading and preparing dataset social_bias_frames/default
...
~/.pyenv/versions/3.7.6/lib/python3.7/site-packages/datasets/utils/file_utils.py in get_from_cache(url, cache_dir, force_download, proxies, etag_timeout, ... | https://api.github.com/repos/huggingface/datasets/issues/1643/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1642 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1642/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1642/comments | https://api.github.com/repos/huggingface/datasets/issues/1642/events | https://github.com/huggingface/datasets/pull/1642 | 775,159,568 | MDExOlB1bGxSZXF1ZXN0NTQ1ODk1MzY1 | 1,642 | Ollie dataset | {
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} | This is the dataset used to train the Ollie open information extraction algorithm. It has over 21M sentences. See http://knowitall.github.io/ollie/ for more details. | https://api.github.com/repos/huggingface/datasets/issues/1642/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1641 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1641/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1641/comments | https://api.github.com/repos/huggingface/datasets/issues/1641/events | https://github.com/huggingface/datasets/issues/1641 | 775,110,872 | MDU6SXNzdWU3NzUxMTA4NzI= | 1,641 | muchocine dataset cannot be dowloaded | {
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"I have encountered the same error with `v1.0.1` and `v1.0.2` on both Windows and Linux environments. However, cloning the repo and using the path to the dataset's root directory worked for me. Even after having the dataset cached - passing the path is the only way (for now) to load the dataset.\r\n\r\n```python\r\... | 1,609,104,388,000 | 1,627,967,249,000 | 1,627,967,249,000 | NONE | null | null | ```python
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
/usr/local/lib/python3.6/dist-packages/datasets/load.py in prepare_module(path, script_version, download_config, download_mode, dataset, force_local_path, ... | https://api.github.com/repos/huggingface/datasets/issues/1641/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1640 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1640/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1640/comments | https://api.github.com/repos/huggingface/datasets/issues/1640/events | https://github.com/huggingface/datasets/pull/1640 | 774,921,836 | MDExOlB1bGxSZXF1ZXN0NTQ1NzI2NzY4 | 1,640 | Fix "'BertTokenizerFast' object has no attribute 'max_len'" | {
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} | Tensorflow 2.3.0 gives:
FutureWarning: The `max_len` attribute has been deprecated and will be removed in a future version, use `model_max_length` instead.
Tensorflow 2.4.0 gives:
AttributeError 'BertTokenizerFast' object has no attribute 'max_len' | https://api.github.com/repos/huggingface/datasets/issues/1640/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1639 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1639/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1639/comments | https://api.github.com/repos/huggingface/datasets/issues/1639/events | https://github.com/huggingface/datasets/issues/1639 | 774,903,472 | MDU6SXNzdWU3NzQ5MDM0NzI= | 1,639 | bug with sst2 in glue | {
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"Maybe you can use nltk's treebank detokenizer ?\r\n```python\r\nfrom nltk.tokenize.treebank import TreebankWordDetokenizer\r\n\r\nTreebankWordDetokenizer().detokenize(\"it 's a charming and often affecting journey . \".split())\r\n# \"it's a charming and often affecting journey.\"\r\n```",
"I am looking for alte... | 1,609,001,843,000 | 1,630,076,603,000 | null | NONE | null | null | Hi
I am getting very low accuracy on SST2 I investigate this and observe that for this dataset sentences are tokenized, while this is correct for the other datasets in GLUE, please see below.
Is there any alternatives I could get untokenized sentences? I am unfortunately under time pressure to report some results on ... | https://api.github.com/repos/huggingface/datasets/issues/1639/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1638 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1638/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1638/comments | https://api.github.com/repos/huggingface/datasets/issues/1638/events | https://github.com/huggingface/datasets/pull/1638 | 774,869,184 | MDExOlB1bGxSZXF1ZXN0NTQ1Njg5ODQ5 | 1,638 | Add id_puisi dataset | {
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} | Puisi (poem) is an Indonesian poetic form. The dataset contains 7223 Indonesian puisi with its title and author. :) | https://api.github.com/repos/huggingface/datasets/issues/1638/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1637 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1637/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1637/comments | https://api.github.com/repos/huggingface/datasets/issues/1637/events | https://github.com/huggingface/datasets/pull/1637 | 774,710,014 | MDExOlB1bGxSZXF1ZXN0NTQ1NTc1NTMw | 1,637 | Added `pn_summary` dataset | {
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"As always, I got stuck in the correct order of imports 😅\r\n@lhoestq, It's finished!",
"@lhoestq, It's done! Is there anything else that needs changes?"
] | 1,608,894,084,000 | 1,609,767,799,000 | 1,609,767,799,000 | CONTRIBUTOR | null | {
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} | #1635
You did a great job with the fluent procedure regarding adding a dataset. I took the chance to add the dataset on my own. Thank you for your awesome job, and I hope this dataset found the researchers happy, specifically those interested in Persian Language (Farsi)! | https://api.github.com/repos/huggingface/datasets/issues/1637/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1636 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1636/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1636/comments | https://api.github.com/repos/huggingface/datasets/issues/1636/events | https://github.com/huggingface/datasets/issues/1636 | 774,574,378 | MDU6SXNzdWU3NzQ1NzQzNzg= | 1,636 | winogrande cannot be dowloaded | {
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"I have same issue for other datasets (`myanmar_news` in my case).\r\n\r\nA version of `datasets` runs correctly on my local machine (**without GPU**) which looking for the dataset at \r\n```\r\nhttps://raw.githubusercontent.com/huggingface/datasets/master/datasets/myanmar_news/myanmar_news.py\r\n```\r\n\r\nMeanwhi... | 1,608,848,902,000 | 1,609,163,629,000 | null | NONE | null | null | Hi,
I am getting this error when trying to run the codes on the cloud. Thank you for any suggestion and help on this @lhoestq
```
File "./finetune_trainer.py", line 318, in <module>
main()
File "./finetune_trainer.py", line 148, in main
for task in data_args.tasks]
File "./finetune_trainer.py", ... | https://api.github.com/repos/huggingface/datasets/issues/1636/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1635 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1635/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1635/comments | https://api.github.com/repos/huggingface/datasets/issues/1635/events | https://github.com/huggingface/datasets/issues/1635 | 774,524,492 | MDU6SXNzdWU3NzQ1MjQ0OTI= | 1,635 | Persian Abstractive/Extractive Text Summarization | {
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] | closed | false | null | [] | null | [] | 1,608,832,032,000 | 1,609,773,064,000 | 1,609,773,064,000 | CONTRIBUTOR | null | null | Assembling datasets tailored to different tasks and languages is a precious target. This would be great to have this dataset included.
## Adding a Dataset
- **Name:** *pn-summary*
- **Description:** *A well-structured summarization dataset for the Persian language consists of 93,207 records. It is prepared for Abs... | https://api.github.com/repos/huggingface/datasets/issues/1635/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1634 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1634/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1634/comments | https://api.github.com/repos/huggingface/datasets/issues/1634/events | https://github.com/huggingface/datasets/issues/1634 | 774,487,934 | MDU6SXNzdWU3NzQ0ODc5MzQ= | 1,634 | Inspecting datasets per category | {
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"That's interesting, can you tell me what you think would be useful to access to inspect a dataset?\r\n\r\nYou can filter them in the hub with the search by the way: https://huggingface.co/datasets have you seen it?",
"Hi @thomwolf \r\nthank you, I was not aware of this, I was looking into the data viewer linked ... | 1,608,823,594,000 | 1,610,098,084,000 | null | NONE | null | null | Hi
Is there a way I could get all NLI datasets/all QA datasets to get some understanding of available datasets per category? this is hard for me to inspect the datasets one by one in the webpage, thanks for the suggestions @lhoestq | https://api.github.com/repos/huggingface/datasets/issues/1634/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1633 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1633/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1633/comments | https://api.github.com/repos/huggingface/datasets/issues/1633/events | https://github.com/huggingface/datasets/issues/1633 | 774,422,603 | MDU6SXNzdWU3NzQ0MjI2MDM= | 1,633 | social_i_qa wrong format of labels | {
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"avatar_url": "https://avatars.githubusercontent.com/u/10137?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/ghost",
"html_url": "https://github.com/ghost",
"followers_url": "https://api.github.com/users/ghost/followers",
"f... | [] | closed | false | null | [] | null | [
"@lhoestq, should I raise a PR for this? Just a minor change while reading labels text file",
"Sure feel free to open a PR thanks !"
] | 1,608,815,514,000 | 1,609,348,729,000 | 1,609,348,729,000 | NONE | null | null | Hi,
there is extra "\n" in labels of social_i_qa datasets, no big deal, but I was wondering if you could remove it to make it consistent.
so label is 'label': '1\n', not '1'
thanks
```
>>> import datasets
>>> from datasets import load_dataset
>>> dataset = load_dataset(
... 'social_i_qa')
cahce dir /jul... | https://api.github.com/repos/huggingface/datasets/issues/1633/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1632 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1632/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1632/comments | https://api.github.com/repos/huggingface/datasets/issues/1632/events | https://github.com/huggingface/datasets/issues/1632 | 774,388,625 | MDU6SXNzdWU3NzQzODg2MjU= | 1,632 | SICK dataset | {
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"url": "https://api.github.com/users/rabeehk",
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"node_id": "MDU6TGFiZWwyMDY3Mzc2MzY5",
"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20request",
"name": "dataset request",
"color": "e99695",
"default": false,
"description": "Requesting to add a new dataset"
}
] | closed | false | null | [] | null | [] | 1,608,813,614,000 | 1,612,540,165,000 | 1,612,540,165,000 | CONTRIBUTOR | null | null | Hi, this would be great to have this dataset included. I might be missing something, but I could not find it in the list of already included datasets. Thank you.
## Adding a Dataset
- **Name:** SICK
- **Description:** SICK consists of about 10,000 English sentence pairs that include many examples of the lexical,... | https://api.github.com/repos/huggingface/datasets/issues/1632/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1631 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1631/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1631/comments | https://api.github.com/repos/huggingface/datasets/issues/1631/events | https://github.com/huggingface/datasets/pull/1631 | 774,349,222 | MDExOlB1bGxSZXF1ZXN0NTQ1Mjc5MTE2 | 1,631 | Update README.md | {
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"html_url": "https://github.com/savasy",
"followers_url": "https://api.github.com/users/savasy/foll... | [] | closed | false | null | [] | null | [] | 1,608,810,352,000 | 1,609,176,941,000 | 1,609,175,764,000 | CONTRIBUTOR | null | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1631",
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} | I made small change for citation | https://api.github.com/repos/huggingface/datasets/issues/1631/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/1630 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1630/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1630/comments | https://api.github.com/repos/huggingface/datasets/issues/1630/events | https://github.com/huggingface/datasets/issues/1630 | 774,332,129 | MDU6SXNzdWU3NzQzMzIxMjk= | 1,630 | Adding UKP Argument Aspect Similarity Corpus | {
"login": "rabeehk",
"id": 6278280,
"node_id": "MDQ6VXNlcjYyNzgyODA=",
"avatar_url": "https://avatars.githubusercontent.com/u/6278280?v=4",
"gravatar_id": "",
"url": "https://api.github.com/users/rabeehk",
"html_url": "https://github.com/rabeehk",
"followers_url": "https://api.github.com/users/rabeehk/... | [
{
"id": 2067376369,
"node_id": "MDU6TGFiZWwyMDY3Mzc2MzY5",
"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20request",
"name": "dataset request",
"color": "e99695",
"default": false,
"description": "Requesting to add a new dataset"
}
] | open | false | null | [] | null | [
"Adding a link to the guide on adding a dataset if someone want to give it a try: https://github.com/huggingface/datasets#add-a-new-dataset-to-the-hub\r\n\r\nwe should add this guide to the issue template @lhoestq ",
"thanks @thomwolf , this is added now. The template is correct, sorry my mistake not to include i... | 1,608,807,691,000 | 1,608,809,418,000 | null | CONTRIBUTOR | null | null | Hi, this would be great to have this dataset included.
## Adding a Dataset
- **Name:** UKP Argument Aspect Similarity Corpus
- **Description:** The UKP Argument Aspect Similarity Corpus (UKP ASPECT) includes 3,595 sentence pairs over 28 controversial topics. Each sentence pair was annotated via crowdsourcing as ei... | https://api.github.com/repos/huggingface/datasets/issues/1630/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/1629 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1629/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1629/comments | https://api.github.com/repos/huggingface/datasets/issues/1629/events | https://github.com/huggingface/datasets/pull/1629 | 774,255,716 | MDExOlB1bGxSZXF1ZXN0NTQ1MjAwNTQ3 | 1,629 | add wongnai_reviews test set labels | {
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"followers_url": "https://api.github.com/users/... | [] | closed | false | null | [] | null | [] | 1,608,796,951,000 | 1,609,176,219,000 | 1,609,176,219,000 | CONTRIBUTOR | null | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/1629",
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"diff_url": "https://github.com/huggingface/datasets/pull/1629.diff",
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} | - add test set labels provided by @ekapolc
- refactor `star_rating` to a `datasets.features.ClassLabel` field | https://api.github.com/repos/huggingface/datasets/issues/1629/timeline | null | true |
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