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https://api.github.com/repos/huggingface/datasets/issues/3113 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3113/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3113/comments | https://api.github.com/repos/huggingface/datasets/issues/3113/events | https://github.com/huggingface/datasets/issues/3113 | 1,030,667,547 | I_kwDODunzps49br0b | 3,113 | Loading Data from HDF files | {
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More often than not I come along big HDF datasets, and currently there is no straight forward way to feed them to a dataset.
**Describe the solution you'd like**
I would love to see a `from_h5` method that gets an interface implemented by the user ... | {
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"I am very unsure on why you tagged me here. I am not a maintainer of the Datasets library and have no idea how to help you.",
"fixed",
"Ok got it, tensor full of NaNs, cf.\r\n\r\n~\\anaconda3\\envs\\xxx\\lib\\site-packages\\datasets\\arrow_writer.py in write_examples_on_file(self)\r\n315 # This check fails wit... | 1,634,667,701,000 | 1,634,669,549,000 | null | NONE | null | ## Describe the bug
Despite having batches way under 2Gb when running `datasets.map()`, after processing correctly the data of the first batch without fuss and irrespective of writer_batch_size (say 2,4,8,16,32,64 and 128 in my case), it returns the following error :
> OverflowError: There was an overflow in the <c... | {
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https://api.github.com/repos/huggingface/datasets/issues/3111 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3111/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3111/comments | https://api.github.com/repos/huggingface/datasets/issues/3111/events | https://github.com/huggingface/datasets/issues/3111 | 1,030,598,983 | I_kwDODunzps49bbFH | 3,111 | concatenate_datasets removes ClassLabel typing. | {
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"Something like this would fix it I think: https://github.com/huggingface/datasets/compare/master...Dref360:HF-3111/concatenate_types?expand=1"
] | 1,634,666,731,000 | 1,634,827,821,000 | 1,634,827,821,000 | CONTRIBUTOR | null | ## Describe the bug
When concatenating two datasets, we lose typing of ClassLabel columns.
I can work on this if this is a legitimate bug,
## Steps to reproduce the bug
```python
import datasets
from datasets import Dataset, ClassLabel, Value, concatenate_datasets
DS_LEN = 100
my_dataset = Dataset.from_... | {
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https://api.github.com/repos/huggingface/datasets/issues/3105 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3105/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3105/comments | https://api.github.com/repos/huggingface/datasets/issues/3105/events | https://github.com/huggingface/datasets/issues/3105 | 1,029,098,843 | I_kwDODunzps49Vs1b | 3,105 | download_mode=`force_redownload` does not work on removed datasets | {
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If a cached dataset is removed from the library, I don't see how to delete it programmatically. I thought that using `force_redownload` would try to refresh the cache, then raise an exception, but it reuses the cache instead.
## Steps to reproduce the bug
_requires to already have `wit` in ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3104 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3104/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3104/comments | https://api.github.com/repos/huggingface/datasets/issues/3104/events | https://github.com/huggingface/datasets/issues/3104 | 1,029,080,412 | I_kwDODunzps49VoVc | 3,104 | Missing Zenodo 1.13.3 release | {
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"Zenodo has fixed on their side the 1.13.3 release: https://zenodo.org/record/5589150"
] | 1,634,561,838,000 | 1,634,908,945,000 | 1,634,908,944,000 | MEMBER | null | After `datasets` 1.13.3 release, this does not appear in Zenodo releases: https://zenodo.org/record/5570305
TODO:
- [x] Contact Zenodo support
- [x] Check it is fixed | {
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https://api.github.com/repos/huggingface/datasets/issues/3099 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3099/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3099/comments | https://api.github.com/repos/huggingface/datasets/issues/3099/events | https://github.com/huggingface/datasets/issues/3099 | 1,028,338,078 | I_kwDODunzps49SzGe | 3,099 | AttributeError: module 'huggingface_hub.hf_api' has no attribute 'DatasetInfo' | {
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"Hi @JTWang2000, thanks for reporting.\r\n\r\nHowever, I cannot reproduce your reported bug:\r\n```python\r\n>>> from datasets import load_dataset\r\n\r\n>>> dataset = load_dataset(\"sst\", \"default\")\r\n>>> dataset\r\nDatasetDict({\r\n train: Dataset({\r\n features: ['sentence', 'label', 'tokens', 'tre... | 1,634,480,267,000 | 1,636,476,149,000 | 1,636,476,148,000 | NONE | null | ## Describe the bug
When using `pip install datasets`
or use `conda install -c huggingface -c conda-forge datasets`
cannot install datasets
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("sst", "default")
```
## Actual results
---------------------------... | {
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"Thanks for reporting, @VictorSanh.\r\n\r\nI'm fixing it."
] | 1,634,326,478,000 | 1,634,543,514,000 | 1,634,543,514,000 | MEMBER | null | ## Describe the bug
I keep runnig into a fsspec ModuleNotFound error
## Steps to reproduce the bug
```python
>>> from datasets import get_dataset_infos
2021-10-15 15:25:37.863206: W tensorflow/stream_executor/platform/default/dso_loader.cc:64] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudar... | {
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"cc @anton-l @albertvillanova ",
"Thanks for reporting, @patrickvonplaten.\r\n\r\nI think the issue is related to mp3 resampling, not to `cast_column`.\r\n\r\nYou can check that `cast_column` works OK with non-mp3 audio files:\r\n```python\r\nfrom datasets import load_dataset\r\nimport datasets\r\nds = load_datas... | 1,634,305,018,000 | 1,634,312,310,000 | 1,634,312,310,000 | MEMBER | null | ## Describe the bug
After changing the sampling rate automatic decoding fails.
## Steps to reproduce the bug
```python
from datasets import load_dataset
import datasets
ds = load_dataset("common_voice", "ab", split="train")
ds = ds.cast_column("audio", datasets.features.Audio(sampling_rate=16_000))
pr... | {
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https://api.github.com/repos/huggingface/datasets/issues/3093 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3093/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3093/comments | https://api.github.com/repos/huggingface/datasets/issues/3093/events | https://github.com/huggingface/datasets/issues/3093 | 1,027,262,124 | I_kwDODunzps49Osas | 3,093 | Error loading json dataset with multiple splits if keys in nested dicts have a different order | {
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"Hi, \r\n\r\neven Pandas, which is less strict compared to PyArrow when it comes to reading JSON, doesn't support different orderings:\r\n```python\r\nimport io\r\nimport pandas as pd\r\n\r\ns = \"\"\"\r\n{\"a\": {\"c\": 8, \"b\": 5}}\r\n{\"a\": {\"b\": 7, \"c\": 6}}\r\n\"\"\"\r\n\r\nbuffer = io.StringIO(s)\r\ndf =... | 1,634,290,405,000 | 1,636,550,434,000 | null | NONE | null | ## Describe the bug
Loading a json dataset with multiple splits that have nested dicts with keys in different order results in the error below.
If the keys in the nested dicts always have the same order or even if you just load a single split in which the nested dicts don't have the same order, everything works fin... | {
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https://api.github.com/repos/huggingface/datasets/issues/3091 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3091/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3091/comments | https://api.github.com/repos/huggingface/datasets/issues/3091/events | https://github.com/huggingface/datasets/issues/3091 | 1,027,251,530 | I_kwDODunzps49Op1K | 3,091 | `blog_authorship_corpus` is broken | {
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"Hi @fdtomasi, thanks for reporting.\r\n\r\nYou are right: the original host data URL does no longer exist.\r\n\r\nI've contacted the authors of the dataset to ask them if they host this dataset in another URL.",
"Hi, @fdtomasi, the URL is fixed.\r\n\r\nThe fix is already in our master branch and it will be acces... | 1,634,289,640,000 | 1,634,648,770,000 | 1,634,647,839,000 | NONE | null | ## Describe the bug
The dataset `blog_authorship_corpus` is broken.
By bypassing the checksum checks, the loading does not return any error but the resulting dataset is empty.
I suspect it is because the data download url is broken (http://www.cs.biu.ac.il/~koppel/blogs/blogs.zip).
## Steps to reproduce the bug
... | {
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https://api.github.com/repos/huggingface/datasets/issues/3089 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3089/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3089/comments | https://api.github.com/repos/huggingface/datasets/issues/3089/events | https://github.com/huggingface/datasets/issues/3089 | 1,026,973,360 | I_kwDODunzps49Nl6w | 3,089 | JNLPBA Dataset | {
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"# Steps to reproduce\r\n\r\nTo reproduce:\r\n\r\n```python\r\nfrom datasets import load_dataset\r\ndataset = load_dataset('jnlpba')\r\n\r\ndataset['train'].features['ner_tags']\r\n```\r\nOutput:\r\n```python\r\nSequence(feature=ClassLabel(num_classes=3, names=['O', 'B', 'I'], names_file=None, id=None), length=-1, ... | 1,634,260,562,000 | 1,634,891,037,000 | 1,634,891,037,000 | NONE | null | ## Describe the bug
A clear and concise description of what the bug is.
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
```
## Expected results
The dataset loading script for this dataset is incorrect. This is a biomedical dataset used for named entity recognition. The entities in ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3087 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3087/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3087/comments | https://api.github.com/repos/huggingface/datasets/issues/3087/events | https://github.com/huggingface/datasets/issues/3087 | 1,026,780,469 | I_kwDODunzps49M201 | 3,087 | Removing label column in a text classification dataset yields to errors | {
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This looks like #3059 but it's not linked to the cache this time. Removing the `label` column from a text classification dataset and then performing any processing will result in an error.
To reproduce:
```py
from datasets import load_dataset
from transformers import AutoTokenizer
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https://api.github.com/repos/huggingface/datasets/issues/3084 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3084/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3084/comments | https://api.github.com/repos/huggingface/datasets/issues/3084/events | https://github.com/huggingface/datasets/issues/3084 | 1,026,428,992 | I_kwDODunzps49LhBA | 3,084 | VisibleDeprecationWarning when using `set_format("numpy")` | {
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"I just opened a PR and I verified that the code you provided doesn't show any deprecation warning :)"
] | 1,634,219,581,000 | 1,634,918,654,000 | 1,634,918,654,000 | CONTRIBUTOR | null | Code to reproduce:
```
from datasets import load_dataset
dataset = load_dataset("glue", "mnli")
from transformers import AutoTokenizer
tokenizer = AutoTokenizer.from_pretrained('distilbert-base-cased')
def tokenize_function(dataset):
return tokenizer(dataset['premise'])
tokenized_datasets = dataset.... | {
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https://api.github.com/repos/huggingface/datasets/issues/3083 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3083/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3083/comments | https://api.github.com/repos/huggingface/datasets/issues/3083/events | https://github.com/huggingface/datasets/issues/3083 | 1,026,397,062 | I_kwDODunzps49LZOG | 3,083 | Datasets with Audio feature raise error when loaded from cache due to _resampler parameter | {
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As reported by @patrickvonplaten, when loaded from the cache, datasets containing the Audio feature raise TypeError.
## Steps to reproduce the bug
```python
from datasets import load_dataset
# load first time works
ds = load_dataset("patrickvonplaten/librispeech_asr_dummy", "clean")
# ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3080 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3080/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3080/comments | https://api.github.com/repos/huggingface/datasets/issues/3080/events | https://github.com/huggingface/datasets/issues/3080 | 1,026,380,626 | I_kwDODunzps49LVNS | 3,080 | Error related to timeout keyword argument | {
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As reported by @patrickvonplaten, a TypeError is raised when trying to load a dataset.
## Steps to reproduce the bug
```python
from datasets import load_dataset
ds = load_dataset("patrickvonplaten/librispeech_asr_dummy", "clean")
```
## Actual results
```
TypeError: dataset_info() got ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3076 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3076/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3076/comments | https://api.github.com/repos/huggingface/datasets/issues/3076/events | https://github.com/huggingface/datasets/issues/3076 | 1,026,113,484 | I_kwDODunzps49KT_M | 3,076 | Error when loading a metric | {
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"followers_... | null | [] | 1,634,200,167,000 | 1,634,202,895,000 | 1,634,202,895,000 | MEMBER | null | ## Describe the bug
As reported by @sgugger, after last release, exception is thrown when loading a metric.
## Steps to reproduce the bug
```python
from datasets import load_metric
metric = load_metric("squad_v2")
```
## Actual results
```
FileNotFoundError Traceback (most recent ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3073 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3073/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3073/comments | https://api.github.com/repos/huggingface/datasets/issues/3073/events | https://github.com/huggingface/datasets/issues/3073 | 1,025,718,469 | I_kwDODunzps49IzjF | 3,073 | Import error installing with ppc64le | {
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"This seems to be an issue with importing PyArrow so I posted the problem [here](https://issues.apache.org/jira/browse/ARROW-14323), and I'm closing this issue.\r\n"
] | 1,634,161,043,000 | 1,634,229,346,000 | 1,634,229,208,000 | NONE | null | ## Describe the bug
Installing the datasets library with a computer running with ppc64le seems to cause an issue when importing the datasets library.
```
python
Python 3.6.13 | packaged by conda-forge | (default, Sep 23 2021, 07:37:44)
[GCC 9.4.0] on linux
Type "help", "copyright", "credits" or "license" for... | {
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https://api.github.com/repos/huggingface/datasets/issues/3071 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3071/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3071/comments | https://api.github.com/repos/huggingface/datasets/issues/3071/events | https://github.com/huggingface/datasets/issues/3071 | 1,024,893,493 | I_kwDODunzps49FqI1 | 3,071 | Custom plain text dataset, plain json dataset and plain csv dataset are remove from datasets template folder | {
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"Hi @zixiliuUSC, \r\n\r\nAs explained in the documentation (https://huggingface.co/docs/datasets/loading.html#json), we support loading any dataset in JSON (as well as CSV, text, Parquet) format:\r\n```python\r\nds = load_dataset('json', data_files='my_file.json')\r\n```"
] | 1,634,110,330,000 | 1,634,113,624,000 | 1,634,113,623,000 | NONE | null | ## Adding a Dataset
- **Name:** text, json, csv
- **Description:** I am developing a customized dataset loading script. The problem is mainly about my custom dataset is seperate into many files and I only find a dataset loading template in [https://github.com/huggingface/datasets/blob/1.2.1/datasets/json/json.py](ht... | {
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https://api.github.com/repos/huggingface/datasets/issues/3069 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3069/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3069/comments | https://api.github.com/repos/huggingface/datasets/issues/3069/events | https://github.com/huggingface/datasets/issues/3069 | 1,024,818,680 | I_kwDODunzps49FX34 | 3,069 | CI fails on Windows with FileNotFoundError when stting up s3_base fixture | {
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After commit 9353fc863d0c99ab0427f83cc5a4f04fcf52f1df, the CI fails on Windows with FileNotFoundError when stting up s3_base fixture. See: https://app.circleci.com/pipelines/github/huggingface/datasets/8151/workflows/5db8d154-badd-4d3d-b202-ca7a318997a2/jobs/50321
Error summary:
```
ERROR tes... | {
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https://api.github.com/repos/huggingface/datasets/issues/3064 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3064/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3064/comments | https://api.github.com/repos/huggingface/datasets/issues/3064/events | https://github.com/huggingface/datasets/issues/3064 | 1,023,900,075 | I_kwDODunzps49B3mr | 3,064 | Make `interleave_datasets` more robust | {
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Right now there are few hiccups using `interleave_datasets`. Interleaved dataset iterates until the smallest dataset completes it's iterator. In this way larger datasets may not complete full epoch of iteration.
It creates new problems in calculation... | {
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https://api.github.com/repos/huggingface/datasets/issues/3063 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3063/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3063/comments | https://api.github.com/repos/huggingface/datasets/issues/3063/events | https://github.com/huggingface/datasets/issues/3063 | 1,023,588,297 | I_kwDODunzps49ArfJ | 3,063 | Windows CI is unable to test streaming properly because of SSL issues | {
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"I think this problem is already fixed:\r\n```python\r\nIn [4]: import fsspec\r\n ...:\r\n ...: url = \"https://moon-staging.huggingface.co/datasets/__DUMMY_TRANSFORMERS_USER__/my-dataset-16242824690709/resolve/main/.gitattributes\"\r\n ...:\r\n ...: fsspec.open(url).open()\r\nOut[4]: <File-like object HTTP... | 1,634,031,220,000 | 1,634,663,512,000 | null | MEMBER | null | In https://github.com/huggingface/datasets/pull/3041 the windows tests were skipped because of SSL issues with moon-staging.huggingface.co:443
The issue appears only on windows with asyncio. On Linux it works. With requests it works as well. And with the production environment huggingface.co it also works.
to rep... | {
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https://api.github.com/repos/huggingface/datasets/issues/3061 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3061/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3061/comments | https://api.github.com/repos/huggingface/datasets/issues/3061/events | https://github.com/huggingface/datasets/issues/3061 | 1,023,103,119 | I_kwDODunzps48-1CP | 3,061 | Feature request : add leave=True to dataset.map to enable tqdm nested bars (and whilst we're at it couldn't we get a way to access directly tqdm underneath?) | {
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"@lhoestq, @albertvillanova can we have `**tqdm_kwargs` in `map`? If there are any fields that are important to our tqdm (like iterable or unit), we can pop them before initialising the tqdm object so as to avoid duplicity.",
"Hi ! Sounds like a good idea :)\r\n\r\nAlso I think it would be better to have this as ... | 1,633,985,389,000 | 1,634,895,250,000 | null | NONE | null | **A clear and concise description of what you want to happen.**
It would be so nice to be able to nest HuggingFace `Datasets.map() ` progress bars in the grander scheme of things and whilst we're at it why not other functions.
**Describe alternatives you've considered**
By the way is there not a way to directl... | {
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https://api.github.com/repos/huggingface/datasets/issues/3060 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3060/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3060/comments | https://api.github.com/repos/huggingface/datasets/issues/3060/events | https://github.com/huggingface/datasets/issues/3060 | 1,022,936,396 | I_kwDODunzps48-MVM | 3,060 | load_dataset('openwebtext') yields "Compressed file ended before the end-of-stream marker was reached" | {
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"Hi @RylanSchaeffer, thanks for reporting.\r\n\r\nI'm sorry, but I was not able to reproduce your problem.\r\n\r\nNormally, the reason for this type of error is that, during your download of the data files, this was not fully complete.\r\n\r\nCould you please try to load the dataset again but forcing its redownload... | 1,633,971,927,000 | 1,635,400,341,000 | 1,635,400,341,000 | NONE | null | ## Describe the bug
When I try `load_dataset('openwebtext')`, I receive a "EOFError: Compressed file ended before the end-of-stream marker was reached" error.
## Steps to reproduce the bug
```
from datasets import load_dataset
dataset = load_dataset('openwebtext')
```
## Expected results
I expect the `datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/3058 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3058/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3058/comments | https://api.github.com/repos/huggingface/datasets/issues/3058/events | https://github.com/huggingface/datasets/issues/3058 | 1,022,612,664 | I_kwDODunzps4889S4 | 3,058 | Dataset wikipedia and Bookcorpusopen cannot be fetched from dataloader. | {
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"Hi ! I think this issue is more related to the `transformers` project. Could you open an issue on https://github.com/huggingface/transformers ?\r\n\r\nAnyway I think the issue could be that both wikipedia and bookcorpusopen have an additional \"title\" column, contrary to wikitext which only has a \"text\" column.... | 1,633,953,299,000 | 1,634,182,083,000 | null | NONE | null | ## Describe the bug
I have used the previous version of `transformers` and `datasets`. The dataset `wikipedia` can be successfully used. Recently, I upgrade them to the newest version and find it raises errors. I also tried other datasets. The `wikitext` works and the `bookcorpusopen` raises the same errors as `wikipe... | {
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https://api.github.com/repos/huggingface/datasets/issues/3057 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3057/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3057/comments | https://api.github.com/repos/huggingface/datasets/issues/3057/events | https://github.com/huggingface/datasets/issues/3057 | 1,022,508,315 | I_kwDODunzps488j0b | 3,057 | Error in per class precision computation | {
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"Hi @tidhamecha2, thanks for reporting.\r\n\r\nIndeed, we fixed this issue just one week ago: #3008\r\n\r\nThe fix will be included in our next version release.\r\n\r\nIn the meantime, you can incorporate the fix by installing `datasets` from the master branch:\r\n```\r\npip install -U git+ssh://git@github.com/hugg... | 1,633,946,719,000 | 1,633,947,464,000 | 1,633,947,376,000 | NONE | null | ## Describe the bug
When trying to get the per class precision values by providing `average=None`, following error is thrown `ValueError: can only convert an array of size 1 to a Python scalar`
## Steps to reproduce the bug
```python
from datasets import load_dataset, load_metric
precision_metric = load_metric("... | {
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https://api.github.com/repos/huggingface/datasets/issues/3055 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3055/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3055/comments | https://api.github.com/repos/huggingface/datasets/issues/3055/events | https://github.com/huggingface/datasets/issues/3055 | 1,022,319,238 | I_kwDODunzps4871qG | 3,055 | CI test suite fails after meteor metric update | {
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CI test suite fails: https://app.circleci.com/pipelines/github/huggingface/datasets/8110/workflows/f059ba43-9154-4632-bebb-82318447ddc9/jobs/50010
Stack trace:
```
___________________ LocalMetricTest.test_load_metric_meteor ____________________
[gw1] linux -- Python 3.6.15 /home/circleci/.pye... | {
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https://api.github.com/repos/huggingface/datasets/issues/3053 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3053/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3053/comments | https://api.github.com/repos/huggingface/datasets/issues/3053/events | https://github.com/huggingface/datasets/issues/3053 | 1,022,076,905 | I_kwDODunzps4866fp | 3,053 | load_dataset('the_pile_openwebtext2') produces ArrowInvalid, value too large to fit in C integer type | {
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"I encountered the same bug using different datasets.\r\nany suggestions?",
"+1, can reproduce here!"
] | 1,633,895,721,000 | 1,636,408,118,000 | null | NONE | null | ## Describe the bug
When loading `the_pile_openwebtext2`, we get the error `pyarrow.lib.ArrowInvalid: Value 2111 too large to fit in C integer type`
## Steps to reproduce the bug
```python
import datasets
ds = datasets.load_dataset('the_pile_openwebtext2')
```
## Expected results
Should download the dataset... | {
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https://api.github.com/repos/huggingface/datasets/issues/3052 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3052/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3052/comments | https://api.github.com/repos/huggingface/datasets/issues/3052/events | https://github.com/huggingface/datasets/issues/3052 | 1,021,944,435 | I_kwDODunzps486aJz | 3,052 | load_dataset cannot download the data and hangs on forever if cache dir specified | {
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"Issue was environment inconsistency, updating packages did the trick\r\n\r\n`conda install -c huggingface -c conda-forge datasets`\r\n\r\n> Collecting package metadata (current_repodata.json): done\r\n> Solving environment: |\r\n> The environment is inconsistent, please check the package plan carefully\r\n> The fo... | 1,633,861,896,000 | 1,633,949,829,000 | 1,633,949,796,000 | NONE | null | ## Describe the bug
After updating datasets, a code that ran just fine for ages began to fail. Specifying _datasets.load_dataset_'s _cache_dir_ optional argument on Windows 10 machine results in data download to hang on forever. Same call without cache_dir works just fine. Surprisingly exact same code just runs perfec... | {
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https://api.github.com/repos/huggingface/datasets/issues/3051 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3051/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3051/comments | https://api.github.com/repos/huggingface/datasets/issues/3051/events | https://github.com/huggingface/datasets/issues/3051 | 1,021,852,234 | I_kwDODunzps486DpK | 3,051 | Non-Matching Checksum Error with crd3 dataset | {
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"I got the same error for another dataset (`multi_woz_v22`):\r\n\r\n```\r\ndatasets.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files:\r\n['https://github.com/budzianowski/multiwoz/raw/master/data/MultiWOZ_2.2/dialog_acts.json', 'https://github.com/budzianowski/multiwoz/raw/... | 1,633,829,563,000 | 1,635,654,752,000 | null | NONE | null | ## Describe the bug
When I try loading the crd3 dataset (https://huggingface.co/datasets/crd3), an error is thrown.
## Steps to reproduce the bug
```python
dataset = load_dataset('crd3', split='train')
```
## Expected results
I expect no error to be thrown.
## Actual results
A non-matching checksum err... | {
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https://api.github.com/repos/huggingface/datasets/issues/3049 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3049/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3049/comments | https://api.github.com/repos/huggingface/datasets/issues/3049/events | https://github.com/huggingface/datasets/issues/3049 | 1,021,770,008 | I_kwDODunzps485vkY | 3,049 | TimeoutError during streaming | {
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I got a TimeoutError after streaming for about 10h.
## Steps to reproduce the bug
Very long code but we could do a test of streaming indefinitely data, though error may take a while to appear.
## Expected results
This error was not expected in the code which considers only `ClientError` but... | {
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https://api.github.com/repos/huggingface/datasets/issues/3048 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3048/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3048/comments | https://api.github.com/repos/huggingface/datasets/issues/3048/events | https://github.com/huggingface/datasets/issues/3048 | 1,021,765,661 | I_kwDODunzps485ugd | 3,048 | Identify which shard data belongs to | {
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"Independently of this I think it raises the need to allow multiprocessing during streaming so that we get samples from multiple shards in one batch."
] | 1,633,801,595,000 | 1,633,811,057,000 | null | CONTRIBUTOR | null | **Is your feature request related to a problem? Please describe.**
I'm training on a large dataset made of multiple sub-datasets.
During training I can observe some jumps in loss which may correspond to different shards.
.
Create a dataset for masled-language modeling from the IMDB dataset.
```python
from datasets ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3044 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3044/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3044/comments | https://api.github.com/repos/huggingface/datasets/issues/3044/events | https://github.com/huggingface/datasets/issues/3044 | 1,020,869,778 | I_kwDODunzps482TyS | 3,044 | Inconsistent caching behaviour when using `Dataset.map()` with a `new_fingerprint` and `num_proc>1` | {
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"Following the discussion in #3045 if would be nice to have a way to let users have a nice experience with caching even if the function is not hashable.\r\n\r\nCurrently a workaround is to make the function picklable. This can be done by implementing a callable class instead, that can be pickled using by implementi... | 1,633,684,030,000 | 1,635,324,058,000 | null | NONE | null | ## Describe the bug
Caching does not work when using `Dataset.map()` with:
1. a function that cannot be deterministically fingerprinted
2. `num_proc>1`
3. using a custom fingerprint set with the argument `new_fingerprint`.
This means that the dataset will be mapped with the function for each and every call, w... | {
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https://api.github.com/repos/huggingface/datasets/issues/3043 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3043/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3043/comments | https://api.github.com/repos/huggingface/datasets/issues/3043/events | https://github.com/huggingface/datasets/issues/3043 | 1,020,252,114 | I_kwDODunzps48z8_S | 3,043 | Add PASS dataset | {
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- **Name:** PASS
- **Description:** An ImageNet replacement for self-supervised pretraining without humans
- **Data:** https://www.robots.ox.ac.uk/~vgg/research/pass/ https://github.com/yukimasano/PASS
Instructions to add a new dataset can be found [here](https://github.com/huggingface/dataset... | {
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https://api.github.com/repos/huggingface/datasets/issues/3040 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3040/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3040/comments | https://api.github.com/repos/huggingface/datasets/issues/3040/events | https://github.com/huggingface/datasets/issues/3040 | 1,018,782,475 | I_kwDODunzps48uWML | 3,040 | [save_to_disk] Using `select()` followed by `save_to_disk` saves complete dataset making it hard to create dummy dataset | {
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"Hi,\r\n\r\nthe `save_to_disk` docstring explains that `flatten_indices` has to be called on a dataset before saving it to save only the shard/slice of the dataset.",
"That works! Thansk!\r\n\r\nMight be worth doing that automatically actually in case the `save_to_disk` is called on a dataset that has an indices ... | 1,633,540,127,000 | 1,635,867,668,000 | 1,635,867,668,000 | MEMBER | null | ## Describe the bug
When only keeping a dummy size of a dataset (say the first 100 samples), and then saving it to disk to upload it in the following to the hub for easy demo/use - not just the small dataset is saved but the whole dataset with an indices file. The problem with this is that the dataset is still very... | {
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https://api.github.com/repos/huggingface/datasets/issues/3036 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3036/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3036/comments | https://api.github.com/repos/huggingface/datasets/issues/3036/events | https://github.com/huggingface/datasets/issues/3036 | 1,017,687,944 | I_kwDODunzps48qK-I | 3,036 | Protect master branch to force contributions via Pull Requests | {
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"It would be nice to protect the master from direct commits, but still having a way to merge our own PRs when no review is required (for example when updating a dataset_infos.json file, or minor bug fixes - things that happen quite often actually).\r\nDo you know if there's a way ?",
"you can if you're an admin o... | 1,633,505,657,000 | 1,633,589,507,000 | 1,633,589,392,000 | MEMBER | null | In order to have a clearer Git history in the master branch, I propose to protect it so that all contributions must be done through a Pull Request and no direct commits to master are allowed.
- The Pull Request allows to give context, discuss any potential issues and improve the quality of the contribution
- The Pull... | {
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https://api.github.com/repos/huggingface/datasets/issues/3035 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3035/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3035/comments | https://api.github.com/repos/huggingface/datasets/issues/3035/events | https://github.com/huggingface/datasets/issues/3035 | 1,016,770,071 | I_kwDODunzps48mq4X | 3,035 | `load_dataset` does not work with uploaded arrow file | {
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"Hi ! This is not a bug, this is simply not implemented.\r\n`save_to_disk` is for on-disk serialization and was not made compatible for the Hub.\r\nThat being said, I agree we actually should make it work with the Hub x)",
"cc @LysandreJik maybe we can solve this at the same time as adding `push_to_hub`"
] | 1,633,464,910,000 | 1,633,539,697,000 | null | MEMBER | null | ## Describe the bug
I've preprocessed and uploaded a dataset here: https://huggingface.co/datasets/ami-wav2vec2/ami_headset_single_preprocessed . The dataset is in `.arrow` format.
The dataset can correctly be loaded when doing:
```bash
git lfs install
git clone https://huggingface.co/datasets/ami-wav2vec2/a... | {
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https://api.github.com/repos/huggingface/datasets/issues/3034 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3034/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3034/comments | https://api.github.com/repos/huggingface/datasets/issues/3034/events | https://github.com/huggingface/datasets/issues/3034 | 1,016,759,202 | I_kwDODunzps48moOi | 3,034 | Errors loading dataset using fs = a gcsfs.GCSFileSystem | {
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Cannot load dataset using a `gcsfs.GCSFileSystem`. I'm not sure if this should be a bug in `gcsfs` or here...
Basically what seems to be happening is that since datasets saves datasets as folders and folders aren't "real objects" in gcs, gcsfs raises a 404 error. There are workarounds if you... | {
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https://api.github.com/repos/huggingface/datasets/issues/3032 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3032/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3032/comments | https://api.github.com/repos/huggingface/datasets/issues/3032/events | https://github.com/huggingface/datasets/issues/3032 | 1,016,488,475 | I_kwDODunzps48lmIb | 3,032 | Error when loading private dataset with "data_files" arg | {
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"We'll do a release tomorrow or on wednesday to make the fix available :)\r\n\r\nThanks for reproting !"
] | 1,633,448,787,000 | 1,634,052,382,000 | 1,634,052,346,000 | CONTRIBUTOR | null | ## Describe the bug
A clear and concise description of what the bug is.
Private datasets with no loading script can't be loaded using `data_files` parameter.
## Steps to reproduce the bug
```python
from datasets import load_dataset
data_files = {"train": "**/train/*/*.jsonl", "valid": "**/valid/*/*.jsonl"}
d... | {
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https://api.github.com/repos/huggingface/datasets/issues/3027 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3027/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3027/comments | https://api.github.com/repos/huggingface/datasets/issues/3027/events | https://github.com/huggingface/datasets/issues/3027 | 1,016,150,117 | I_kwDODunzps48kThl | 3,027 | Resolve data_files by split name | {
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"Awesome @lhoestq I like the proposal and it works great on my JSON community dataset. Here is the [log](https://gist.github.com/vblagoje/714babc325bcbdd5de579fd8e1648892). ",
"From my discussion with @borisdayma it would be more general the files match if their paths contains the split name - not only if the fil... | 1,633,429,476,000 | 1,636,134,598,000 | 1,636,134,597,000 | MEMBER | null | This issue is about discussing the default behavior when someone loads a dataset that consists in data files. For example:
```python
load_dataset("lhoestq/demo1")
```
should return two splits "train" and "test" since the dataset repostiory is like
```
data/
├── train.csv
└── test.csv
```
Currently it returns ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3024 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3024/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3024/comments | https://api.github.com/repos/huggingface/datasets/issues/3024/events | https://github.com/huggingface/datasets/issues/3024 | 1,016,052,911 | I_kwDODunzps48j7yv | 3,024 | Windows test suite fails | {
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There is an error during installation of tests dependencies for Windows: https://app.circleci.com/pipelines/github/huggingface/datasets/7981/workflows/9b6a0114-2b8e-4069-94e5-e844dbbdba4e/jobs/49206
```
ERROR: Cannot uninstall 'ruamel-yaml'. It is a distutils installed project and thus we can... | {
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https://api.github.com/repos/huggingface/datasets/issues/3018 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3018/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3018/comments | https://api.github.com/repos/huggingface/datasets/issues/3018/events | https://github.com/huggingface/datasets/issues/3018 | 1,015,311,877 | I_kwDODunzps48hG4F | 3,018 | Support multiple zipped CSV data files | {
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"@lhoestq I would like to draw your attention to the proposed API by @lewtun, using `data_dir` to pass the ZIP URL.\r\n\r\nI'm not totally convinced with this... What do you think?\r\n\r\nMaybe we could discuss other approaches...\r\n\r\nOne brainstorming idea: what about using URL chaining with the hop operator in... | 1,633,360,619,000 | 1,633,444,377,000 | null | MEMBER | null | As requested by @lewtun, support loading multiple zipped CSV data files.
```python
from datasets import load_dataset
url = "https://domain.org/filename.zip"
data_files = {"train": "train_filename.csv", "test": "test_filename.csv"}
dataset = load_dataset("csv", data_dir=url, data_files=data_files)
```
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https://api.github.com/repos/huggingface/datasets/issues/3013 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3013/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3013/comments | https://api.github.com/repos/huggingface/datasets/issues/3013/events | https://github.com/huggingface/datasets/issues/3013 | 1,014,960,419 | I_kwDODunzps48fxEj | 3,013 | Improve `get_dataset_infos`? | {
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"To keeps things simple maybe we should use `load_dataset_builder` in `get_dataset_infos`.\r\n`load_dataset_builder` instantiates a builder and runs the _infos() method in order to give you the most up-to-date infos, even if the dataset_infos.json is outdated or missing."
] | 1,633,340,824,000 | 1,634,895,369,000 | null | CONTRIBUTOR | null | Using the dedicated function `get_dataset_infos` on a dataset that has no dataset-info.json file returns an empty info:
```
>>> from datasets import get_dataset_infos
>>> get_dataset_infos('wit')
{}
```
While it's totally possible to get it (regenerate it) with:
```
>>> from datasets import load_dataset_b... | {
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https://api.github.com/repos/huggingface/datasets/issues/3011 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3011/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3011/comments | https://api.github.com/repos/huggingface/datasets/issues/3011/events | https://github.com/huggingface/datasets/issues/3011 | 1,014,935,713 | I_kwDODunzps48frCh | 3,011 | load_dataset_builder should error if "name" does not exist? | {
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"Yes I think it should raise an error. Currently it looks like it instantiates a custom configuration with the name given by the user:\r\nhttps://github.com/huggingface/datasets/blob/ba27ce33bf568374cf23a07669fdd875b5718bc2/src/datasets/builder.py#L391-L397"
] | 1,633,339,246,000 | 1,634,895,369,000 | null | CONTRIBUTOR | null | ```
import datasets as ds
builder = ds.load_dataset_builder('sent_comp', name="doesnotexist")
builder.info.config_name
```
returns
```
'doesnotexist'
```
Shouldn't it raise an error instead?
For this dataset, the only valid values for `name` should be: `"default"` or `None` (ie. argument not passed) | {
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"### Update:\r\nI wrote a bit cleaner code snippet (without transforming to json) that can expose leaking.\r\n```python\r\nimport datasets\r\nimport json\r\n\r\nitems = ['ab', 'c', 'df']\r\n\r\nds = datasets.Dataset.from_dict({'col': items})\r\nprint(list(ds))\r\n# > Prints: [{'col': 'ab'}, {'col': 'c'}, {'col': 'd... | 1,633,338,295,000 | 1,633,422,968,000 | null | NONE | null | ## Describe the bug
As there's no support for lists within dataset fields, I convert my lists to json-string format. However, the bug described is occurring even when the data format is 'string'.
These samples show that filtering behavior diverges from what's expected when chaining filterings.
On sample 2 the second... | {
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https://api.github.com/repos/huggingface/datasets/issues/3005 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3005/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3005/comments | https://api.github.com/repos/huggingface/datasets/issues/3005/events | https://github.com/huggingface/datasets/issues/3005 | 1,014,615,420 | I_kwDODunzps48ec18 | 3,005 | DatasetDict.filter and Dataset.filter crashes with any "fn_kwargs" argument | {
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"Hi @DrMatters, thanks for reporting.\r\n\r\nThis issue was fixed 14 days ago: #2950.\r\n\r\nCurrently, the fix is only in the master branch and will be made available in our next library release.\r\n\r\nIn the meantime, you can incorporate the fix by installing datasets from the master branch:\r\n```shell\r\npip i... | 1,633,308,569,000 | 1,633,947,481,000 | 1,633,337,173,000 | NONE | null | ## Describe the bug
The ".filter" method of DatasetDict or Dataset objects fails when passing any "fn_kwargs" argument
## Steps to reproduce the bug
```python
import datasets
example_dataset = datasets.Dataset.from_dict({"a": {1, 2, 3, 4}})
def filter_value(example, value):
return example['a'] == value... | {
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https://api.github.com/repos/huggingface/datasets/issues/2998 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2998/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2998/comments | https://api.github.com/repos/huggingface/datasets/issues/2998/events | https://github.com/huggingface/datasets/issues/2998 | 1,013,372,871 | I_kwDODunzps48ZtfH | 2,998 | cannot shuffle dataset loaded from disk | {
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dataset loaded from disk cannot be shuffled.
## Steps to reproduce the bug
```
my_dataset = load_from_disk('s3://my_file/validate', fs=s3)
sample = my_dataset.select(range(100)).shuffle(seed=1234)
```
## Actual results
```
sample = my_dataset .select(range(100)).shuffle(seed=1234)
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https://api.github.com/repos/huggingface/datasets/issues/2997 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2997/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2997/comments | https://api.github.com/repos/huggingface/datasets/issues/2997/events | https://github.com/huggingface/datasets/issues/2997 | 1,013,270,069 | I_kwDODunzps48ZUY1 | 2,997 | Dataset has incorrect labels | {
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"Hi @marshmellow77, thanks for reporting.\r\n\r\nThat issue is fixed since `datasets` version 1.9.0 (see 16bc665f2753677c765011ef79c84e55486d4347).\r\n\r\nPlease, update `datasets` with: `pip install -U datasets`",
"Thanks. Please note that the dataset explorer (https://huggingface.co/datasets/viewer/?dataset=tur... | 1,633,090,146,000 | 1,633,102,320,000 | 1,633,096,474,000 | NONE | null | The dataset https://huggingface.co/datasets/turkish_product_reviews has incorrect labels - all reviews are labelled with "1" (positive sentiment). None of the reviews is labelled with "0". See screenshot attached:
\r\nDownloading and preparing dataset trivia_qa/unfiltered (download: 3.07... | 1,633,042,818,000 | 1,633,115,243,000 | 1,633,115,242,000 | MEMBER | null | ## Describe the bug
For some reason, I can't download `trivia_qa/unfilted`. A file seems to be missing... I am able to see it fine though the viewer tough...
## Steps to reproduce the bug
```python
>>> from datasets import load_dataset
>>> load_dataset("trivia_qa", "unfiltered")
Downloading and preparing data... | {
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This feature was mentioned [here](https://huggingface.co/docs/datasets/loading_datasets.html#from-a-community-dataset-on-the-h... | {
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https://api.github.com/repos/huggingface/datasets/issues/2988 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2988/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2988/comments | https://api.github.com/repos/huggingface/datasets/issues/2988/events | https://github.com/huggingface/datasets/issues/2988 | 1,011,148,017 | I_kwDODunzps48ROTx | 2,988 | IndexError: Invalid key: 14 is out of bounds for size 0 | {
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"Hi ! Could you check the length of the `self.dataset` object (i.e. the Dataset object passed to the data loader) ? It looks like the dataset is empty.\r\nNot sure why the SWA optimizer would cause this though.",
"Any updates on this? \r\nThe same error occurred to me too when running `cardiffnlp/twitter-roberta-... | 1,632,931,464,000 | 1,639,416,247,000 | null | NONE | null | ## Describe the bug
A clear and concise description of what the bug is.
Hi. I am trying to implement stochastic weighted averaging optimizer with transformer library as described here https://pytorch.org/blog/pytorch-1.6-now-includes-stochastic-weight-averaging/ , for this I am using a run_clm.py codes which is wor... | {
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https://api.github.com/repos/huggingface/datasets/issues/2987 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2987/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2987/comments | https://api.github.com/repos/huggingface/datasets/issues/2987/events | https://github.com/huggingface/datasets/issues/2987 | 1,011,026,141 | I_kwDODunzps48Qwjd | 2,987 | ArrowInvalid: Can only convert 1-dimensional array values | {
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"Hi @NielsRogge, thanks for reporting!\r\n\r\nIn `datasets`, we were handling N-dimensional arrays only when passed as an instance of `np.array`, not when passed as a list of `np.array`s.\r\n\r\nI'm fixing it."
] | 1,632,925,132,000 | 1,633,096,665,000 | 1,633,096,665,000 | NONE | null | ## Describe the bug
For the ViT and LayoutLMv2 demo notebooks in my [Transformers-Tutorials repo](https://github.com/NielsRogge/Transformers-Tutorials), people reported an ArrowInvalid issue after applying the following function to a Dataset:
```
def preprocess_data(examples):
images = [Image.open(path).conve... | {
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"Hi @zijwang, thanks for reporting this issue.\r\n\r\nYou did not mention which `datasets` version you are using, but looking at the code in the stack trace, it seems you are using an old version.\r\n\r\nCould you please update `datasets` (`pip install -U datasets`) and check if the problem persists?"
] | 1,632,890,962,000 | 1,634,018,742,000 | 1,634,018,742,000 | NONE | null | ## Describe the bug
A clear and concise description of what the bug is.
When using `load_dataset` with json files, if the files are too large, there will be "Exceeded maximum rows" error.
## Steps to reproduce the bug
```python
dataset = load_dataset('json', data_files=data_files) # data files have 3M rows in a ... | {
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"Whoever handles this just needs to: \r\n\r\n- [ ] fork the HuggingFace Datasets repo\r\n- [ ] update the [existing dataset script](https://github.com/huggingface/datasets/blob/master/datasets/openslr/openslr.py) to add SLR25. Lots of copypasting from other sections of the script should make that easy. \r\nAmharic ... | 1,632,841,476,000 | 1,632,936,314,000 | null | CONTRIBUTOR | null | ## Adding a Dataset
- **Name:** *SLR25*
- **Description:** *Subset 25 from OpenSLR. Other subsets have been added to https://huggingface.co/datasets/openslr, 25 covers Amharic, Swahili and Wolof data*
- **Paper:** *https://www.openslr.org/25/ has citations for each of the three subsubsets. *
- **Data:** *Currently ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2979 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2979/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2979/comments | https://api.github.com/repos/huggingface/datasets/issues/2979/events | https://github.com/huggingface/datasets/issues/2979 | 1,009,634,147 | I_kwDODunzps48Lctj | 2,979 | ValueError when computing f1 metric with average None | {
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"Hi @asofiaoliveira, thanks for reporting.\r\n\r\nI'm fixing it."
] | 1,632,828,893,000 | 1,633,097,858,000 | 1,633,097,858,000 | NONE | null | ## Describe the bug
When I try to compute the f1 score for each class in a multiclass classification problem, I get a ValueError. The same happens with recall and precision. I traced the error to the `.item()` in these scripts, which is probably there for the other averages. E.g. from f1.py:
```python
return {
... | {
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https://api.github.com/repos/huggingface/datasets/issues/2978 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2978/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2978/comments | https://api.github.com/repos/huggingface/datasets/issues/2978/events | https://github.com/huggingface/datasets/issues/2978 | 1,009,521,419 | I_kwDODunzps48LBML | 2,978 | Run CI tests against non-production server | {
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"Hey @albertvillanova could you provide more context, including extracts from the discussion we had ?\r\n\r\nLet's ping @Pierrci @julien-c and @n1t0 for their opinion about that",
"@julien-c increased the huggingface.co production workers in order to see if it solve [the 502 you had this morning](https://app.circ... | 1,632,822,086,000 | 1,632,842,630,000 | null | MEMBER | null | Currently, the CI test suite performs requests to the HF production server.
As discussed with @elishowk, we should refactor our tests to use the HF staging server instead, like `huggingface_hub` and `transformers`. | {
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https://api.github.com/repos/huggingface/datasets/issues/2977 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2977/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2977/comments | https://api.github.com/repos/huggingface/datasets/issues/2977/events | https://github.com/huggingface/datasets/issues/2977 | 1,009,378,692 | I_kwDODunzps48KeWE | 2,977 | Impossible to load compressed csv | {
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"Hi @Valahaar, thanks for reporting and for your investigation about the source cause.\r\n\r\nYou are right and that commit prevents `pandas` from inferring the compression. On the other hand, @lhoestq did that change to support loading that dataset in streaming mode. \r\n\r\nI'm fixing it."
] | 1,632,813,534,000 | 1,633,103,596,000 | 1,633,103,595,000 | CONTRIBUTOR | null | ## Describe the bug
It is not possible to load from a compressed csv anymore.
## Steps to reproduce the bug
```python
load_dataset('csv', data_files=['/path/to/csv.bz2'])
```
## Problem and possible solution
This used to work, but the commit that broke it is [this one](https://github.com/huggingface/datasets... | {
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https://api.github.com/repos/huggingface/datasets/issues/2976 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2976/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2976/comments | https://api.github.com/repos/huggingface/datasets/issues/2976/events | https://github.com/huggingface/datasets/issues/2976 | 1,008,647,889 | I_kwDODunzps48Hr7R | 2,976 | Can't load dataset | {
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"Hi @mskovalova, \r\n\r\nSome datasets have multiple configurations. Therefore, in order to load them, you have to specify both the *dataset name* and the *configuration name*.\r\n\r\nIn the error message you got, you have a usage example:\r\n- To load the 'wikitext-103-raw-v1' configuration of the 'wikitext' datas... | 1,632,778,694,000 | 1,632,811,981,000 | 1,632,811,981,000 | NONE | null | I'm trying to load a wikitext dataset
```
from datasets import load_dataset
raw_datasets = load_dataset("wikitext")
```
ValueError: Config name is missing.
Please pick one among the available configs: ['wikitext-103-raw-v1', 'wikitext-2-raw-v1', 'wikitext-103-v1', 'wikitext-2-v1']
Example of usage:
`load_d... | {
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https://api.github.com/repos/huggingface/datasets/issues/2972 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2972/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2972/comments | https://api.github.com/repos/huggingface/datasets/issues/2972/events | https://github.com/huggingface/datasets/issues/2972 | 1,007,808,714 | I_kwDODunzps48EfDK | 2,972 | OSError: Not enough disk space. | {
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"Maybe we can change the disk space calculating API from `shutil.disk_usage` to `os.statvfs` in UNIX-like system, which can provide correct results.\r\n```\r\nstatvfs = os.statvfs('path')\r\navail_space_bytes = statvfs.f_frsize * statvfs.f_bavail\r\n```",
"Hi @qqaatw, thanks for reporting.\r\n\r\nCould you pleas... | 1,632,728,482,000 | 1,632,811,527,000 | 1,632,811,395,000 | CONTRIBUTOR | null | ## Describe the bug
I'm trying to download `natural_questions` dataset from the Internet, and I've specified the cache_dir which locates in a mounted disk and has enough disk space. However, even though the space is enough, the disk space checking function still reports the space of root `/` disk having no enough spac... | {
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https://api.github.com/repos/huggingface/datasets/issues/2971 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2971/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2971/comments | https://api.github.com/repos/huggingface/datasets/issues/2971/events | https://github.com/huggingface/datasets/issues/2971 | 1,007,696,522 | I_kwDODunzps48EDqK | 2,971 | masakhaner dataset load problem | {
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"Thanks for reporting, @ontocord. We are fixing the wrong metadata."
] | 1,632,718,747,000 | 1,632,747,599,000 | 1,632,747,599,000 | CONTRIBUTOR | null | ## Describe the bug
Masakhaner dataset is not loading
## Steps to reproduce the bug
```
from datasets import load_dataset
dataset = load_dataset("masakhaner",'amh')
```
## Expected results
Expected the return of a dataset
## Actual results
```
NonMatchingSplitsSizesError Traceback (mo... | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2969 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2969/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2969/comments | https://api.github.com/repos/huggingface/datasets/issues/2969/events | https://github.com/huggingface/datasets/issues/2969 | 1,007,217,867 | I_kwDODunzps48COzL | 2,969 | medical-dialog error | {
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"Hi @smeyerhot, thanks for reporting.\r\n\r\nYou are right: there is an issue with the dataset metadata. I'm fixing it.\r\n\r\nIn the meantime, you can circumvent the issue by passing `ignore_verifications=True`:\r\n```python\r\nraw_datasets = load_dataset(\"medical_dialog\", \"en\", split=\"train\", download_mode=... | 1,632,611,324,000 | 1,633,938,402,000 | 1,633,938,402,000 | NONE | null | ## Describe the bug
A clear and concise description of what the bug is.
When I attempt to download the huggingface datatset medical_dialog it errors out midway through
## Steps to reproduce the bug
```python
raw_datasets = load_dataset("medical_dialog", "en", split="train", download_mode="force_redownload", data_d... | {
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https://api.github.com/repos/huggingface/datasets/issues/2968 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2968/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2968/comments | https://api.github.com/repos/huggingface/datasets/issues/2968/events | https://github.com/huggingface/datasets/issues/2968 | 1,007,209,488 | I_kwDODunzps48CMwQ | 2,968 | `DatasetDict` cannot be exported to parquet if the splits have different features | {
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"This is because you have to specify which split corresponds to what file:\r\n```python\r\ndata_files = {\"train\": \"train/split.parquet\", \"validation\": \"validation/split.parquet\"}\r\nbrand_new_dataset_2 = load_dataset(\"ds\", data_files=data_files)\r\n```\r\n\r\nOtherwise it tries to concatenate the two spli... | 1,632,608,319,000 | 1,633,646,862,000 | 1,633,646,846,000 | MEMBER | null | ## Describe the bug
I'm trying to use parquet as a means of serialization for both `Dataset` and `DatasetDict` objects. Using `to_parquet` alongside `from_parquet` or `load_dataset` for a `Dataset` works perfectly.
For `DatasetDict`, I use `to_parquet` on each split to save the parquet files in individual folder... | {
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https://api.github.com/repos/huggingface/datasets/issues/2967 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2967/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2967/comments | https://api.github.com/repos/huggingface/datasets/issues/2967/events | https://github.com/huggingface/datasets/issues/2967 | 1,007,194,837 | I_kwDODunzps48CJLV | 2,967 | Adding vision-and-language datasets (e.g., VQA, VCR) to Datasets | {
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] | closed | false | null | [] | null | [] | 1,632,603,495,000 | 1,633,293,262,000 | 1,633,293,262,000 | NONE | null | **Is your feature request related to a problem? Please describe.**
Would you like to add any vision-and-language datasets (e.g., VQA, VCR) to Huggingface Datasets?
**Describe the solution you'd like**
N/A
**Describe alternatives you've considered**
N/A
**Additional context**
This is Da Yin at UCLA. Recentl... | {
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https://api.github.com/repos/huggingface/datasets/issues/2965 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2965/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2965/comments | https://api.github.com/repos/huggingface/datasets/issues/2965/events | https://github.com/huggingface/datasets/issues/2965 | 1,007,084,153 | I_kwDODunzps48BuJ5 | 2,965 | Invalid download URL of WMT17 `zh-en` data | {
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Partial data (wmt17 zh-en) cannot be downloaded due to an invalid URL.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('wmt17','zh-en')
```
## Expected results
ConnectionError: Couldn't reach ftp://cwmt-wmt:cwmt-wmt@datasets.nju.edu.cn/pa... | {
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https://api.github.com/repos/huggingface/datasets/issues/2964 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2964/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2964/comments | https://api.github.com/repos/huggingface/datasets/issues/2964/events | https://github.com/huggingface/datasets/issues/2964 | 1,006,605,904 | I_kwDODunzps47_5ZQ | 2,964 | Error when calculating Matthews Correlation Coefficient loaded with `load_metric` | {
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"After some more tests I've realized that this \"issue\" is due to the `numpy.float64` to `float` conversion, but when defining a function named `compute_metrics` as it follows:\r\n\r\n```python\r\ndef compute_metrics(eval_preds):\r\n metric = load_metric(\"matthews_correlation\")\r\n logits, labels = eval_pr... | 1,632,498,921,000 | 1,632,557,167,000 | 1,632,557,167,000 | NONE | null | ## Describe the bug
After loading the metric named "[Matthews Correlation Coefficient](https://huggingface.co/metrics/matthews_correlation)" from `🤗datasets`, the `.compute` method fails with the following exception `AttributeError: 'float' object has no attribute 'item'` (complete stack trace can be provided if re... | {
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https://api.github.com/repos/huggingface/datasets/issues/2963 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2963/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2963/comments | https://api.github.com/repos/huggingface/datasets/issues/2963/events | https://github.com/huggingface/datasets/issues/2963 | 1,006,588,605 | I_kwDODunzps47_1K9 | 2,963 | raise TypeError( TypeError: Provided `function` which is applied to all elements of table returns a variable of type <class 'list'>. Make sure provided `function` returns a variable of type `dict` to update the dataset or `None` if you are only interested in side effects. | {
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A clear and concise description of what the bug is.
I am trying to use Dataset to load my file in order to use Bert embeddings model baut when I finished loading using dataset and I want to pass to the tokenizer using the function map; I get the following error : raise TypeError(
TypeError: Provi... | {
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https://api.github.com/repos/huggingface/datasets/issues/2962 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2962/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2962/comments | https://api.github.com/repos/huggingface/datasets/issues/2962/events | https://github.com/huggingface/datasets/issues/2962 | 1,006,557,666 | I_kwDODunzps47_tni | 2,962 | Enable splits during streaming the dataset | {
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] | open | false | null | [] | null | [] | 1,632,495,689,000 | 1,632,495,689,000 | null | CONTRIBUTOR | null | ## Describe the Problem
I'd like to stream only a specific percentage or part of the dataset.
I want to do splitting when I'm streaming dataset as well.
## Solution
Enabling splits when `streaming = True` as well.
`e.g. dataset = load_dataset('dataset', split='train[:100]', streaming = True)`
## Alternativ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2957 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2957/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2957/comments | https://api.github.com/repos/huggingface/datasets/issues/2957/events | https://github.com/huggingface/datasets/issues/2957 | 1,004,868,337 | I_kwDODunzps475RLx | 2,957 | MultiWOZ Dataset NonMatchingChecksumError | {
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"Hi Brady! I met the similar issue, it stuck in the downloading stage instead of download anything, maybe it is broken. After I change the downloading from URLs to one url of the [Multiwoz project](https://github.com/budzianowski/multiwoz/archive/44f0f8479f11721831c5591b839ad78827da197b.zip) and use dirs to get sep... | 1,632,354,300,000 | 1,633,069,412,000 | null | NONE | null | ## Describe the bug
The checksums for the downloaded MultiWOZ dataset and source MultiWOZ dataset aren't matching.
## Steps to reproduce the bug
Both of the below dataset versions yield the checksum error:
```python
from datasets import load_dataset
dataset = load_dataset('multi_woz_v22', 'v2.2')
dataset = loa... | {
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https://api.github.com/repos/huggingface/datasets/issues/2956 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2956/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2956/comments | https://api.github.com/repos/huggingface/datasets/issues/2956/events | https://github.com/huggingface/datasets/issues/2956 | 1,004,306,367 | I_kwDODunzps473H-_ | 2,956 | Cache problem in the `load_dataset` method for local compressed file(s) | {
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Cache problem in the `load_dataset` method: when modifying a compressed file in a local folder `load_dataset` doesn't detect the change and load the previous version.
## Steps to reproduce the bug
To test it directly, I have prepared a [Google Colaboratory notebook](https://colab.research.g... | {
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https://api.github.com/repos/huggingface/datasets/issues/2953 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2953/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2953/comments | https://api.github.com/repos/huggingface/datasets/issues/2953/events | https://github.com/huggingface/datasets/issues/2953 | 1,002,766,517 | I_kwDODunzps47xQC1 | 2,953 | Trying to get in touch regarding a security issue | {
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"Hi @JamieSlome,\r\n\r\nThanks for reaching out. Yes, you are right: I'm opening a PR to add the `SECURITY.md` file and a contact method.\r\n\r\nIn the meantime, please feel free to report the security issue to: feedback@huggingface.co"
] | 1,632,239,893,000 | 1,634,829,403,000 | 1,634,829,403,000 | NONE | null | Hey there!
I'd like to report a security issue but cannot find contact instructions on your repository.
If not a hassle, might you kindly add a `SECURITY.md` file with an email, or another contact method? GitHub [recommends](https://docs.github.com/en/code-security/getting-started/adding-a-security-policy-to-your-rep... | {
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https://api.github.com/repos/huggingface/datasets/issues/2945 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2945/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2945/comments | https://api.github.com/repos/huggingface/datasets/issues/2945/events | https://github.com/huggingface/datasets/issues/2945 | 1,000,624,883 | I_kwDODunzps47pFLz | 2,945 | Protect master branch | {
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"Cool, I think we can do both :)",
"@lhoestq now the 2 are implemented.\r\n\r\nPlease note that for the the second protection, finally I have chosen to protect the master branch only from **merge commits** (see update comment above), so no need to disable/re-enable the protection on each release (direct commits, ... | 1,632,120,421,000 | 1,632,139,287,000 | 1,632,139,216,000 | MEMBER | null | After accidental merge commit (91c55355b634d0dc73350a7ddee1a6776dbbdd69) into `datasets` master branch, all commits present in the feature branch were permanently added to `datasets` master branch history, as e.g.:
- 00cc036fea7c7745cfe722360036ed306796a3f2
- 13ae8c98602bbad8197de3b9b425f4c78f582af1
- ...
I propo... | {
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https://api.github.com/repos/huggingface/datasets/issues/2944 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2944/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2944/comments | https://api.github.com/repos/huggingface/datasets/issues/2944/events | https://github.com/huggingface/datasets/issues/2944 | 1,000,544,370 | I_kwDODunzps47oxhy | 2,944 | Add `remove_columns` to `IterableDataset ` | {
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"Hi ! Good idea :)\r\nIf you are interested in contributing, feel free to give it a try and open a Pull Request. Also let me know if I can help you with this or if you have questions"
] | 1,632,110,460,000 | 1,633,707,113,000 | 1,633,707,113,000 | CONTRIBUTOR | null | **Is your feature request related to a problem? Please describe.**
A clear and concise description of what the problem is.
```python
from datasets import load_dataset
dataset = load_dataset("c4", 'realnewslike', streaming =True, split='train')
dataset = dataset.remove_columns('url')
```
```
AttributeError: 'I... | {
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https://api.github.com/repos/huggingface/datasets/issues/2943 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2943/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2943/comments | https://api.github.com/repos/huggingface/datasets/issues/2943/events | https://github.com/huggingface/datasets/issues/2943 | 1,000,355,115 | I_kwDODunzps47oDUr | 2,943 | Backwards compatibility broken for cached datasets that use `.filter()` | {
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"Hi ! I guess the caching mechanism should have considered the new `filter` to be different from the old one, and don't use cached results from the old `filter`.\r\nTo avoid other users from having this issue we could make the caching differentiate the two, what do you think ?",
"If it's easy enough to implement,... | 1,632,068,197,000 | 1,632,155,143,000 | 1,632,155,142,000 | CONTRIBUTOR | null | ## Describe the bug
After upgrading to datasets `1.12.0`, some cached `.filter()` steps from `1.11.0` started failing with
`ValueError: Keys mismatch: between {'indices': Value(dtype='uint64', id=None)} and {'file': Value(dtype='string', id=None), 'text': Value(dtype='string', id=None), 'speaker_id': Value(dtype='in... | {
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https://api.github.com/repos/huggingface/datasets/issues/2941 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2941/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2941/comments | https://api.github.com/repos/huggingface/datasets/issues/2941/events | https://github.com/huggingface/datasets/issues/2941 | 1,000,000,711 | I_kwDODunzps47mszH | 2,941 | OSCAR unshuffled_original_ko: NonMatchingSplitsSizesError | {
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"I tried `unshuffled_original_da` and it is also not working"
] | 1,631,961,553,000 | 1,631,982,333,000 | null | NONE | null | ## Describe the bug
Cannot download OSCAR `unshuffled_original_ko` due to `NonMatchingSplitsSizesError`.
## Steps to reproduce the bug
```python
>>> dataset = datasets.load_dataset('oscar', 'unshuffled_original_ko')
NonMatchingSplitsSizesError: [{'expected': SplitInfo(name='train', num_bytes=25292102197, num... | {
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https://api.github.com/repos/huggingface/datasets/issues/2937 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2937/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2937/comments | https://api.github.com/repos/huggingface/datasets/issues/2937/events | https://github.com/huggingface/datasets/issues/2937 | 999,548,277 | I_kwDODunzps47k-V1 | 2,937 | load_dataset using default cache on Windows causes PermissionError: [WinError 5] Access is denied | {
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"Hi @daqieq, thanks for reporting.\r\n\r\nUnfortunately, I was not able to reproduce this bug:\r\n```ipython\r\nIn [1]: from datasets import load_dataset\r\n ...: ds = load_dataset('wiki_bio')\r\nDownloading: 7.58kB [00:00, 26.3kB/s]\r\nDownloading: 2.71kB [00:00, ?B/s]\r\nUsing custom data configuration default\... | 1,631,897,530,000 | 1,632,189,875,000 | null | NONE | null | ## Describe the bug
Standard process to download and load the wiki_bio dataset causes PermissionError in Windows 10 and 11.
## Steps to reproduce the bug
```python
from datasets import load_dataset
ds = load_dataset('wiki_bio')
```
## Expected results
It is expected that the dataset downloads without any er... | {
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https://api.github.com/repos/huggingface/datasets/issues/2934 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2934/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2934/comments | https://api.github.com/repos/huggingface/datasets/issues/2934/events | https://github.com/huggingface/datasets/issues/2934 | 999,477,413 | I_kwDODunzps47ktCl | 2,934 | to_tf_dataset keeps a reference to the open data somewhere, causing issues on windows | {
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"I did some investigation and, as it seems, the bug stems from [this line](https://github.com/huggingface/datasets/blob/8004d7c3e1d74b29c3e5b0d1660331cd26758363/src/datasets/arrow_dataset.py#L325). The lifecycle of the dataset from the linked line is bound to one of the returned `tf.data.Dataset`. So my (hacky) sol... | 1,631,892,413,000 | 1,634,115,803,000 | 1,634,115,803,000 | MEMBER | null | To reproduce:
```python
import datasets as ds
import weakref
import gc
d = ds.load_dataset("mnist", split="train")
ref = weakref.ref(d._data.table)
tfd = d.to_tf_dataset("image", batch_size=1, shuffle=False, label_cols="label")
del tfd, d
gc.collect()
assert ref() is None, "Error: there is at least one refe... | {
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https://api.github.com/repos/huggingface/datasets/issues/2932 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2932/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2932/comments | https://api.github.com/repos/huggingface/datasets/issues/2932/events | https://github.com/huggingface/datasets/issues/2932 | 999,317,750 | I_kwDODunzps47kGD2 | 2,932 | Conda build fails | {
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"Why 1.9 ?\r\n\r\nhttps://anaconda.org/HuggingFace/datasets currently says 1.11",
"Alright I added 1.12.0 and 1.12.1 and fixed the conda build #2952 "
] | 1,631,882,962,000 | 1,632,238,270,000 | 1,632,238,270,000 | MEMBER | null | ## Describe the bug
Current `datasets` version in conda is 1.9 instead of 1.12.
The build of the conda package fails.
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https://api.github.com/repos/huggingface/datasets/issues/2930 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2930/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2930/comments | https://api.github.com/repos/huggingface/datasets/issues/2930/events | https://github.com/huggingface/datasets/issues/2930 | 998,154,311 | I_kwDODunzps47fqBH | 2,930 | Mutable columns argument breaks set_format | {
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"Pushed a fix to my branch #2731 "
] | 1,631,795,242,000 | 1,631,800,253,000 | 1,631,800,253,000 | CONTRIBUTOR | null | ## Describe the bug
If you pass a mutable list to the `columns` argument of `set_format` and then change the list afterwards, the returned columns also change.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("glue", "cola")
column_list = ["idx", "label"]
datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/2927 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2927/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2927/comments | https://api.github.com/repos/huggingface/datasets/issues/2927/events | https://github.com/huggingface/datasets/issues/2927 | 997,654,680 | I_kwDODunzps47dwCY | 2,927 | Datasets 1.12 dataset.filter TypeError: get_indices_from_mask_function() got an unexpected keyword argument | {
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"Thanks for reporting, I'm looking into it :)",
"Fixed by #2950."
] | 1,631,754,842,000 | 1,632,155,002,000 | 1,632,155,001,000 | NONE | null | ## Describe the bug
Upgrading to 1.12 caused `dataset.filter` call to fail with
> get_indices_from_mask_function() got an unexpected keyword argument valid_rel_labels
## Steps to reproduce the bug
```pythondef
filter_good_rows(
ex: Dict,
valid_rel_labels: Set[str],
valid_ner_labels: Set[st... | {
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https://api.github.com/repos/huggingface/datasets/issues/2926 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2926/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2926/comments | https://api.github.com/repos/huggingface/datasets/issues/2926/events | https://github.com/huggingface/datasets/issues/2926 | 997,463,277 | I_kwDODunzps47dBTt | 2,926 | Error when downloading datasets to non-traditional cache directories | {
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"Same here !"
] | 1,631,735,986,000 | 1,637,790,151,000 | null | NONE | null | ## Describe the bug
When the cache directory is linked (soft link) to a directory on a NetApp device, the download fails.
## Steps to reproduce the bug
```bash
ln -s /path/to/netapp/.cache ~/.cache
```
```python
load_dataset("imdb")
```
## Expected results
Successfully loading IMDB dataset
## Actual... | {
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https://api.github.com/repos/huggingface/datasets/issues/2924 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2924/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2924/comments | https://api.github.com/repos/huggingface/datasets/issues/2924/events | https://github.com/huggingface/datasets/issues/2924 | 997,378,113 | I_kwDODunzps47cshB | 2,924 | "File name too long" error for file locks | {
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"Hi, the filename here is less than 255\r\n```python\r\n>>> len(\"_home_garrett_.cache_huggingface_datasets_csv_test-7c856aea083a7043_0.0.0_9144e0a4e8435090117cea53e6c7537173ef2304525df4a077c435d8ee7828ff.incomplete.lock\")\r\n154\r\n```\r\nso not sure why it's considered too long for your filesystem.\r\n(also note... | 1,631,729,810,000 | 1,635,500,544,000 | 1,635,500,544,000 | NONE | null | ## Describe the bug
Getting the following error when calling `load_dataset("gar1t/test")`:
```
OSError: [Errno 36] File name too long: '<user>/.cache/huggingface/datasets/_home_garrett_.cache_huggingface_datasets_csv_test-7c856aea083a7043_0.0.0_9144e0a4e8435090117cea53e6c7537173ef2304525df4a077c435d8ee7828ff.inc... | {
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https://api.github.com/repos/huggingface/datasets/issues/2923 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2923/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2923/comments | https://api.github.com/repos/huggingface/datasets/issues/2923/events | https://github.com/huggingface/datasets/issues/2923 | 997,351,590 | I_kwDODunzps47cmCm | 2,923 | Loading an autonlp dataset raises in normal mode but not in streaming mode | {
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The same dataset (from autonlp) raises an error in normal mode, but does not raise in streaming mode
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset("severo/autonlp-data-sentiment_detection-3c8bcd36", split="train", streaming=False)
## raises an err... | {
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https://api.github.com/repos/huggingface/datasets/issues/2921 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2921/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2921/comments | https://api.github.com/repos/huggingface/datasets/issues/2921/events | https://github.com/huggingface/datasets/issues/2921 | 997,325,424 | I_kwDODunzps47cfpw | 2,921 | Using a list of multi-dim numpy arrays raises an error "can only convert 1-dimensional array values" | {
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To reproduce:
```python
import numpy as np
from datasets import Dataset
d = Dataset.from_dict({"a": [np.zeros((2, 2))]})
```
raises
```python
Traceback (most recent call last):
File "playground/ttest.py", line 5, in <mod... | {
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https://api.github.com/repos/huggingface/datasets/issues/2919 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2919/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2919/comments | https://api.github.com/repos/huggingface/datasets/issues/2919/events | https://github.com/huggingface/datasets/issues/2919 | 997,127,487 | I_kwDODunzps47bvU_ | 2,919 | Unwanted progress bars when accessing examples | {
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"doing a patch release now :)"
] | 1,631,714,710,000 | 1,631,726,509,000 | 1,631,726,303,000 | MEMBER | null | When accessing examples from a dataset formatted for pytorch, some progress bars appear when accessing examples:
```python
In [1]: import datasets as ds
In [2]: d = ds.Dataset.from_dict({"a": [0, 1, 2]}).with_format("torch") ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2918 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2918/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2918/comments | https://api.github.com/repos/huggingface/datasets/issues/2918/events | https://github.com/huggingface/datasets/issues/2918 | 997,063,347 | I_kwDODunzps47bfqz | 2,918 | `Can not decode content-encoding: gzip` when loading `scitldr` dataset with streaming | {
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"Hi @SBrandeis, thanks for reporting! ^^\r\n\r\nI think this is an issue with `fsspec`: https://github.com/intake/filesystem_spec/issues/389\r\n\r\nI will ask them if they are planning to fix it...",
"Code to reproduce the bug: `ClientPayloadError: 400, message='Can not decode content-encoding: gzip'`\r\n```pytho... | 1,631,711,167,000 | 1,638,346,500,000 | 1,638,346,500,000 | CONTRIBUTOR | null | ## Describe the bug
Trying to load the `"FullText"` config of the `"scitldr"` dataset with `streaming=True` raises an error from `aiohttp`:
```python
ClientPayloadError: 400, message='Can not decode content-encoding: gzip'
```
cc @lhoestq
## Steps to reproduce the bug
```python
from datasets import load_... | {
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"Hi ! Is there some kind of proxy that is configured in your browser that gives you access to internet ? If it's the case it could explain why it doesn't work in the code, since the proxy wouldn't be used",
"It is indeed an agency problem, thank you very, very much",
"Let me know if you have other questions :)\... | 1,631,709,935,000 | 1,631,812,668,000 | 1,631,812,668,000 | NONE | null | ## Describe the bug
The script clearly exists (accessible from the browser), but the script download fails on windows. Then I tried it again and it can be downloaded normally on linux. why??
## Steps to reproduce the bug
```python3.7 + windows
",
"Hi @margotwagner,\r\n\r\nYes, as @bhavitvyamalik has commented, this bug was fixed in `datasets` version 1.5.0. You need to update it, as your current version is 1.4.1:\r\n> Environment info\r\n> - `data... | 1,631,653,567,000 | 1,631,693,119,000 | 1,631,693,118,000 | NONE | null | ## Describe the bug
The dataset 'timit_asr' only includes one text phrase. It only includes the transcription "Would such an act of refusal be useful?" multiple times rather than different phrases.
## Steps to reproduce the bug
Note: I am following the tutorial https://huggingface.co/blog/fine-tune-wav2vec2-englis... | {
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https://api.github.com/repos/huggingface/datasets/issues/2904 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2904/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2904/comments | https://api.github.com/repos/huggingface/datasets/issues/2904/events | https://github.com/huggingface/datasets/issues/2904 | 995,814,222 | I_kwDODunzps47WutO | 2,904 | FORCE_REDOWNLOAD does not work | {
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"Hi ! Thanks for reporting. The error seems to happen only if you use compressed files.\r\n\r\nThe second dataset is prepared in another dataset cache directory than the first - which is normal, since the source file is different. However, it doesn't uncompress the new data file because it finds the old uncompresse... | 1,631,612,726,000 | 1,633,513,039,000 | null | NONE | null | ## Describe the bug
With GenerateMode.FORCE_REDOWNLOAD, the documentation says
+------------------------------------+-----------+---------+
| | Downloads | Dataset |
+====================================+===========+=========+
| `REUSE_DATASET_IF_EXISTS` (default... | {
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https://api.github.com/repos/huggingface/datasets/issues/2902 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2902/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2902/comments | https://api.github.com/repos/huggingface/datasets/issues/2902/events | https://github.com/huggingface/datasets/issues/2902 | 995,254,216 | MDU6SXNzdWU5OTUyNTQyMTY= | 2,902 | Add WIT Dataset | {
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"@hassiahk is working on it #2810 ",
"WikiMedia is now hosting the pixel values directly which should make it a lot easier!\r\nThe files can be found here:\r\nhttps://techblog.wikimedia.org/2021/09/09/the-wikipedia-image-caption-matching-challenge-and-a-huge-release-of-image-data-for-research/\r\nhttps://analyti... | 1,631,561,929,000 | 1,632,764,815,000 | null | CONTRIBUTOR | null | ## Adding a Dataset
- **Name:** *WIT*
- **Description:** *Wikipedia-based Image Text Dataset*
- **Paper:** *[WIT: Wikipedia-based Image Text Dataset for Multimodal Multilingual Machine Learning
](https://arxiv.org/abs/2103.01913)*
- **Data:** *https://github.com/google-research-datasets/wit*
- **Motivation:** (e... | {
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https://api.github.com/repos/huggingface/datasets/issues/2901 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2901/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2901/comments | https://api.github.com/repos/huggingface/datasets/issues/2901/events | https://github.com/huggingface/datasets/issues/2901 | 995,232,844 | MDU6SXNzdWU5OTUyMzI4NDQ= | 2,901 | Incompatibility with pytest | {
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"Sorry, my bad... When implementing `xpathopen`, I just considered the use case in the COUNTER dataset... I'm fixing it!"
] | 1,631,560,337,000 | 1,631,608,847,000 | 1,631,608,847,000 | CONTRIBUTOR | null | ## Describe the bug
pytest complains about xpathopen / path.open("w")
## Steps to reproduce the bug
Create a test file, `test.py`:
```python
import datasets as ds
def load_dataset():
ds.load_dataset("counter", split="train", streaming=True)
```
And launch it with pytest:
```bash
python -m pyt... | {
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https://api.github.com/repos/huggingface/datasets/issues/2899 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2899/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2899/comments | https://api.github.com/repos/huggingface/datasets/issues/2899/events | https://github.com/huggingface/datasets/issues/2899 | 994,082,432 | MDU6SXNzdWU5OTQwODI0MzI= | 2,899 | Dataset | {
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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*
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https://api.github.com/repos/huggingface/datasets/issues/2898 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2898/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2898/comments | https://api.github.com/repos/huggingface/datasets/issues/2898/events | https://github.com/huggingface/datasets/issues/2898 | 994,032,814 | MDU6SXNzdWU5OTQwMzI4MTQ= | 2,898 | Hug emoji | {
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- **Paper:** *link to the dataset paper if available*
- **Data:** *link to the Github repository or current dataset location*
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https://api.github.com/repos/huggingface/datasets/issues/2892 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2892/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2892/comments | https://api.github.com/repos/huggingface/datasets/issues/2892/events | https://github.com/huggingface/datasets/issues/2892 | 993,274,572 | MDU6SXNzdWU5OTMyNzQ1NzI= | 2,892 | Error when encoding a dataset with None objects with a Sequence feature | {
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"This has been fixed by https://github.com/huggingface/datasets/pull/2900\r\nWe're doing a new release 1.12 today to make the fix available :)"
] | 1,631,283,103,000 | 1,631,542,693,000 | 1,631,542,662,000 | MEMBER | null | There is an error when encoding a dataset with None objects with a Sequence feature
To reproduce:
```python
from datasets import Dataset, Features, Value, Sequence
data = {"a": [[0], None]}
features = Features({"a": Sequence(Value("int32"))})
dataset = Dataset.from_dict(data, features=features)
```
raises
... | {
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https://api.github.com/repos/huggingface/datasets/issues/2890 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2890/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2890/comments | https://api.github.com/repos/huggingface/datasets/issues/2890/events | https://github.com/huggingface/datasets/issues/2890 | 993,074,102 | MDU6SXNzdWU5OTMwNzQxMDI= | 2,890 | 0x290B112ED1280537B24Ee6C268a004994a16e6CE | {
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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*
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https://api.github.com/repos/huggingface/datasets/issues/2889 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2889/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2889/comments | https://api.github.com/repos/huggingface/datasets/issues/2889/events | https://github.com/huggingface/datasets/issues/2889 | 992,968,382 | MDU6SXNzdWU5OTI5NjgzODI= | 2,889 | Coc | {
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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*
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https://api.github.com/repos/huggingface/datasets/issues/2888 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2888/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2888/comments | https://api.github.com/repos/huggingface/datasets/issues/2888/events | https://github.com/huggingface/datasets/issues/2888 | 992,676,535 | MDU6SXNzdWU5OTI2NzY1MzU= | 2,888 | v1.11.1 release date | {
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"Hi ! Probably 1.12 on monday :)\r\n",
"@albertvillanova i think this issue is still valid and should not be closed till `>1.11.0` is published :)"
] | 1,631,224,395,000 | 1,631,477,915,000 | 1,631,463,339,000 | NONE | null | Hello, i need to use latest features in one of my packages but there have been no new datasets release since 2 months ago.
When do you plan to publush v1.11.1 release? | {
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