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https://api.github.com/repos/huggingface/datasets/issues/3649 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3649/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3649/comments | https://api.github.com/repos/huggingface/datasets/issues/3649/events | https://github.com/huggingface/datasets/issues/3649 | 1,117,502,250 | I_kwDODunzps5Cm7sq | 3,649 | Add IGLUE dataset | {
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"following_url"... | [] | 1,643,381,981,000 | 1,643,382,155,000 | null | MEMBER | null | ## Adding a Dataset
- **Name:** IGLUE
- **Description:** IGLUE brings together 4 vision-and-language tasks across 20 languages (Twitter [thread](https://twitter.com/ebugliarello/status/1487045497583976455?s=20&t=SB4LZGDhhkUW83ugcX_m5w))
- **Paper:** https://arxiv.org/abs/2201.11732
- **Data:** https://github.com/e-... | {
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https://api.github.com/repos/huggingface/datasets/issues/3647 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3647/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3647/comments | https://api.github.com/repos/huggingface/datasets/issues/3647/events | https://github.com/huggingface/datasets/pull/3647 | 1,117,383,675 | PR_kwDODunzps4xvGDQ | 3,647 | Fix `add_column` on datasets with indices mapping | {
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"Sure, let's include this in today's release.",
"Cool ! The windows CI should be fixed on master now, feel free to merge :)"
] | 1,643,375,189,000 | 1,643,384,158,000 | 1,643,384,158,000 | CONTRIBUTOR | null | My initial idea was to avoid the `flatten_indices` call and reorder a new column instead, but in the end I decided to follow `concatenate_datasets` and use `flatten_indices` to avoid padding when `dataset._indices.num_rows != dataset._data.num_rows`.
Fix #3599 | {
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"Works smoothly with the `transformers.Trainer` class now, thank you!"
] | 1,643,304,062,000 | 1,643,387,669,000 | 1,643,387,668,000 | MEMBER | null | Streaming datasets that use `StreamingDownloadManager.iter_archive` and `StreamingDownloadManager.iter_files` had some issues. Indeed if you try to iterate over such dataset twice, then the second time it will be empty.
This is because the two methods above are generator functions. I fixed this by making them return... | {
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"following_url"... | [] | 1,643,303,861,000 | 1,643,387,668,000 | 1,643,387,668,000 | MEMBER | null | Hi ! When iterating over a streaming dataset once, it's not reset correctly because of some issues with `dl_manager.iter_archive` and `dl_manager.iter_files`. Indeed they are generator functions (so the iterator that is returned can be exhausted). They should be iterables instead, and be reset if we do a for loop again... | {
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https://api.github.com/repos/huggingface/datasets/issues/3644 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3644/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3644/comments | https://api.github.com/repos/huggingface/datasets/issues/3644/events | https://github.com/huggingface/datasets/issues/3644 | 1,116,519,670 | I_kwDODunzps5CjLz2 | 3,644 | Add a GROUP BY operator | {
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"following_url"... | [] | 1,643,302,674,000 | 1,643,302,674,000 | null | NONE | null | **Is your feature request related to a problem? Please describe.**
Using batch mapping, we can easily split examples. However, we lack an appropriate option for merging them back together by some key. Consider this example:
```python
# features:
# {
# "example_id": datasets.Value("int32"),
# "text": datas... | {
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"following_url"... | [] | 1,643,293,749,000 | 1,643,307,368,000 | 1,643,307,367,000 | CONTRIBUTOR | null | Fixes the NumPy RNG when `seed` is `None`.
The problem becomes obvious after reading the NumPy notes on RNG (returned by `np.random.get_state()`):
> The MT19937 state vector consists of a 624-element array of 32-bit unsigned integers plus a single integer value between 0 and 624 that indexes the current position wi... | {
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https://api.github.com/repos/huggingface/datasets/issues/3640 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3640/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3640/comments | https://api.github.com/repos/huggingface/datasets/issues/3640/events | https://github.com/huggingface/datasets/issues/3640 | 1,116,133,769 | I_kwDODunzps5ChtmJ | 3,640 | Issues with custom dataset in Wav2Vec2 | {
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"Closed and moved to transformers."
] | 1,643,285,345,000 | 1,643,286,588,000 | 1,643,286,588,000 | NONE | null | We are training Vav2Vec using the run_speech_recognition_ctc_bnb.py-script.
This is working fine with Common Voice, however using our custom dataset and data loader at [NbAiLab/NPSC]( https://huggingface.co/datasets/NbAiLab/NPSC) it crashes after roughly 1 epoch with the following stack trace:
![image](https://us... | {
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"following_url"... | [] | 1,643,278,456,000 | 1,643,278,456,000 | null | NONE | null | **1st Epoch:**
1/27/2022 09:30:48 - INFO - datasets.metric - Removing /home/ubuntu/.cache/huggingface/metrics/f1/default/default_experiment-1-0.arrow.59it/s]
01/27/2022 09:30:48 - INFO - datasets.metric - Removing /home/ubuntu/.cache/huggingface/metrics/precision/default/default_experiment-1-0.arrow
01/27/2022 09:3... | {
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"This issue was original reported at https://github.com/huggingface/transformers/issues/14931 and It seems like this issue also occur with other AutoClass like AutoFeatureExtractor.",
"Thanks for moving the issue here !\r\n\r\nI wasn't able to reproduce the issue on my env (the hashes stay the same):\r\n```\r\n- ... | 1,643,253,543,000 | 1,643,340,038,000 | null | NONE | null | ## Describe the bug
AutoTokenizer hash value got change after datasets.map
## Steps to reproduce the bug
1. trash huggingface datasets cache
2. run the following code:
```python
from transformers import AutoTokenizer, BertTokenizer
from datasets import load_dataset
from datasets.fingerprint import Hasher
tok... | {
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"following_url"... | [] | 1,643,233,082,000 | 1,643,233,112,000 | null | MEMBER | null | ## Describe the bug
I am trying to load the [`GEM/RiSAWOZ` dataset](https://huggingface.co/datasets/GEM/RiSAWOZ) in `datasets` v1.18.1 and am running into a type error when casting the features. The strange thing is that I can load the dataset with v1.17.0. Note that the error is also present if I install from `master... | {
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"Thanks for adding this @mariosasko! It worked for me when running it with a local data file, however, when using the file on Google Drive I get the following error:\r\n```Python\r\nds = load_dataset(\"./ted_talks_iwslt\",\"eu_ca_2014\", streaming=True, split=\"train\", use_auth_token=True)\r\nnext(iter(ds))\r\n```... | 1,643,220,476,000 | 1,643,290,855,000 | null | CONTRIBUTOR | null | null | {
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"I'm not sure if this is expected behavior.\r\n\r\nAm I supposed to work with a copy of the dataset, i.e. `shuffled_dataset = data.shuffle(seed=None)`?\r\n\r\n```diff\r\nimport datasets\r\n\r\n# Some toy example\r\ndata = datasets.Dataset.from_dict(\r\n {\"feature\": [1, 2, 3, 4, 5], \"label\": [\"a\", \"b\", \"... | 1,643,209,988,000 | 1,643,307,367,000 | 1,643,307,367,000 | NONE | null | ## Describe the bug
Repeated attempts to `shuffle` a dataset without specifying a seed give the same results.
## Steps to reproduce the bug
```python
import datasets
# Some toy example
data = datasets.Dataset.from_dict(
{"feature": [1, 2, 3, 4, 5], "label": ["a", "b", "c", "d", "e"]}
)
# Doesn't work... | {
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I also added a fix that makes the script ignore the json, csv, text, parquet and pandas dataset builders.
cc @SBrandeis | {
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"following_url"... | [] | 1,643,204,137,000 | 1,643,204,137,000 | null | CONTRIBUTOR | null | ## Describe the bug
The dataset links are no longer valid for CC-100. It seems that the website which was keeping these files are no longer accessible and therefore this dataset became unusable.
Check out the dataset [homepage](http://data.statmt.org/cc-100/) which isn't accessible.
Also the URLs for dataset file ... | {
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"following_url"... | [] | 1,643,191,233,000 | 1,643,191,233,000 | null | NONE | null | ## Describe the bug
I am trying to load a local CSV file with a separate file containing label names. It is successfully loaded for the first time, but when I try to load it again, there is a conflict between provided labels and the cached dataset info. Disabling caching globally and/or using `download_mode="force_red... | {
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"following_url"... | [] | 1,643,166,349,000 | 1,643,205,806,000 | null | NONE | null | After processing the dataset following official [NewsQA](https://github.com/Maluuba/newsqa), I used datasets to load it:
```
a = load_dataset('newsqa', data_dir='news')
```
and the following error occurred:
```
Using custom data configuration default-data_dir=news
Downloading and preparing dataset newsqa/defaul... | {
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"following_url"... | [] | 1,643,121,585,000 | 1,643,122,546,000 | 1,643,122,546,000 | MEMBER | null | It was not listing the full list of datasets correctly
cc @SBrandeis this is why it failed for 1.18.0
We should be good now ! | {
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"following_url"... | [] | 1,643,119,577,000 | 1,643,119,741,000 | null | NONE | null | First of all, the card creator is a great addition and really helpful for streamlining dataset cards!
## Describe the bug
I encountered an inconvenient bug when entering "Additional Information" in the react app, which drops already entered text when switching to a previous section, and then back again to "Addition... | {
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"We should also update the `bookcorpusopen` download url (see #3561) , no? ",
"For `the_pile_openwebtext2` and `the_pile_stack_exchange` I did not regenerate the JSON files, but instead I just changed the download_checksums URL. "
] | 1,643,098,288,000 | 1,643,188,360,000 | null | MEMBER | null | This PR fixes the host URL in The Pile datasets, once they have mirrored their data in another server.
Fix #3626. | {
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"following_url"... | [] | 1,643,096,613,000 | 1,643,096,614,000 | null | MEMBER | null | ## Describe the bug
The Pile had issues with their previous host server and have mirrored its content to another server.
The new URL server should be updated.
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https://api.github.com/repos/huggingface/datasets/issues/3625 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3625/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3625/comments | https://api.github.com/repos/huggingface/datasets/issues/3625/events | https://github.com/huggingface/datasets/issues/3625 | 1,113,017,522 | I_kwDODunzps5CV0yy | 3,625 | Add a metadata field for when source data was produced | {
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"A question to the datasets maintainers: is there a policy about how the set of allowed metadata fields is maintained and expanded?\r\n\r\nMetadata are very important, but defining the standard is always a struggle between allowing exhaustivity without being too complex. Archivists have Dublin Core, open data has h... | 1,643,050,359,000 | 1,643,307,186,000 | null | CONTRIBUTOR | null | **Is your feature request related to a problem? Please describe.**
The current problem is that information about when source data was produced is not easily visible. Though there are a variety of metadata fields available in the dataset viewer, time period information is not included. This feature request suggests mak... | {
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https://api.github.com/repos/huggingface/datasets/issues/3623 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3623/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3623/comments | https://api.github.com/repos/huggingface/datasets/issues/3623/events | https://github.com/huggingface/datasets/pull/3623 | 1,112,835,239 | PR_kwDODunzps4xgWig | 3,623 | Extend support for streaming datasets that use os.path.relpath | {
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"following_url"... | [] | 1,643,040,052,000 | 1,643,305,259,000 | null | MEMBER | null | This PR extends the support in streaming mode for datasets that use `os.path.relpath`, by patching that function.
This feature will also be useful to yield the relative path of audio or image files, within an archive or parent dir.
Close #3622. | {
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This feature will also be useful to yield the relative path of audio or image files.
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"Hi! We use `tqdm` to display progress bars, so I suggest you open this issue in their repo.",
"It depends on how you use `tqdm`, no? \r\n\r\nDoesn't this library import via; \r\n\r\n```\r\nfrom tqdm.notebook import tqdm\r\n```"
] | 1,643,034,431,000 | 1,643,037,255,000 | null | NONE | null | When I install `datasets` in a fresh virtualenv with jupyterlab I always see this error.
```
ImportError: IProgress not found. Please update jupyter and ipywidgets. See https://ipywidgets.readthedocs.io/en/stable/user_install.html
```
It's a bit of a nuisance, because I need to run shut down the jupyterlab ser... | {
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https://api.github.com/repos/huggingface/datasets/issues/3620 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3620/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3620/comments | https://api.github.com/repos/huggingface/datasets/issues/3620/events | https://github.com/huggingface/datasets/pull/3620 | 1,112,677,252 | PR_kwDODunzps4xf1J3 | 3,620 | Add Fon language tag | {
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