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https://api.github.com/repos/huggingface/datasets/issues/6624 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6624/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6624/comments | https://api.github.com/repos/huggingface/datasets/issues/6624/events | https://github.com/huggingface/datasets/issues/6624 | 2,103,950,718 | I_kwDODunzps59Z71- | 6,624 | How to download the laion-coco dataset | {
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"Hi, this dataset has been disabled by the authors, so unfortunately it's no longer possible to download it."
] | 2024-01-28T03:56:05Z | 2024-02-06T09:43:31Z | 2024-02-06T09:43:31Z | null | NONE | [] | null | null | {
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https://huggingface.co/datasets/laion/laion-coco | {
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https://api.github.com/repos/huggingface/datasets/issues/5961 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5961/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5961/comments | https://api.github.com/repos/huggingface/datasets/issues/5961/events | https://github.com/huggingface/datasets/issues/5961 | 1,758,525,111 | I_kwDODunzps5o0Pa3 | 5,961 | IterableDataset: split by node and map may preprocess samples that will be skipped anyway | {
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"Does \"number of shards\" refer to the total number of data?\r\n\r\nmy config:\r\nnproc_per_node=2\r\nds=ds['train'] = load_dataset(streaming=True).take(50000)\r\n\r\nI'm test again: in prepare_data(), data have the same for each GPU\r\n",
"The number of shards is `ds.n_shards`. It corresponds generally to the ... | 2023-06-15T10:29:10Z | 2023-09-01T10:35:11Z | null | null | NONE | [] | null | null | {
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1. if the number of shards is a factor of number of GPUs: in that case the shards are evenly distributed per GPU
2. otherwise, each GPU iterate on the data and at the end keeps 1 sample out of n(GPUs) - skipping the others.
In case 2. it's ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5305 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5305/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5305/comments | https://api.github.com/repos/huggingface/datasets/issues/5305/events | https://github.com/huggingface/datasets/issues/5305 | 1,465,627,826 | I_kwDODunzps5XW7Sy | 5,305 | Dataset joelito/mc4_legal does not work with multiple files | {
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"Thanks for reporting @JoelNiklaus.\r\n\r\nPlease note that since we moved all dataset loading scripts to the Hub, the issues and pull requests relative to specific datasets are directly handled on the Hub, in their Community tab. I'm transferring this issue there: https://huggingface.co/datasets/joelito/mc4_legal/... | 2022-11-28T00:16:16Z | 2022-11-28T07:22:42Z | 2022-11-28T07:22:42Z | {
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} | ### Describe the bug
The dataset https://huggingface.co/datasets/joelito/mc4_legal works for languages like bg with a single data file, but not for languages with multiple files like de. It shows zero rows for the de dataset.
joelniklaus@Joels-MacBook-Pro ~/N/P/C/L/p/m/mc4_legal (main) [1]> python test_mc4_legal.... | {
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https://api.github.com/repos/huggingface/datasets/issues/5296 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5296/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5296/comments | https://api.github.com/repos/huggingface/datasets/issues/5296/events | https://github.com/huggingface/datasets/issues/5296 | 1,464,553,580 | I_kwDODunzps5XS1Bs | 5,296 | Bug in xjoin with Windows pathnames | {
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} | Currently, `xjoin` function has a bug with local Windows pathnames: instead of returning the OS-dependent join pathname, it always returns it in POSIX format.
```python
from datasets.download.streaming_download_manager import xjoin
path = xjoin("C:\\Users\\USERNAME", "filename.txt")
```
Join path should be:
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https://api.github.com/repos/huggingface/datasets/issues/4675 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4675/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4675/comments | https://api.github.com/repos/huggingface/datasets/issues/4675/events | https://github.com/huggingface/datasets/issues/4675 | 1,302,193,649 | I_kwDODunzps5NneXx | 4,675 | Unable to use dataset with PyTorch dataloader | {
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"Hi! `para_crawl` has a single column of type `Translation`, which stores translation dictionaries. These dictionaries can be stored in a NumPy array but not in a PyTorch tensor since PyTorch only supports numeric types. In `datasets`, the conversion to `torch` works as follows: \r\n1. convert PyArrow table to NumP... | 2022-07-12T15:04:04Z | 2022-07-14T14:17:46Z | null | null | NONE | [] | null | null | {
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} | ## Describe the bug
When using `.with_format("torch")`, an arrow table is returned and I am unable to use it by passing it to a PyTorch DataLoader: please see the code below.
## Steps to reproduce the bug
```python
from datasets import load_dataset
from torch.utils.data import DataLoader
ds = load_dataset(
... | null | {
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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/132 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/132/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/132/comments | https://api.github.com/repos/huggingface/datasets/issues/132/events | https://github.com/huggingface/datasets/issues/132 | 619,077,851 | MDU6SXNzdWU2MTkwNzc4NTE= | 132 | [Feature Request] Add the OpenWebText dataset | {
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"We're experimenting with hosting the OpenWebText corpus on Zenodo for easier downloading. https://zenodo.org/record/3834942#.Xs1w8i-z2J8",
"Closing since it's been added in #660 "
] | 2020-05-15T15:57:29Z | 2020-10-07T14:22:48Z | 2020-10-07T14:22:48Z | null | MEMBER | [] | null | null | {
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} | The OpenWebText dataset is an open clone of OpenAI's WebText dataset. It can be used to train ELECTRA as is specified in the [README](https://www.github.com/google-research/electra).
More information and the download link are available [here](https://skylion007.github.io/OpenWebTextCorpus/). | {
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https://api.github.com/repos/huggingface/datasets/issues/1636 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1636/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1636/comments | https://api.github.com/repos/huggingface/datasets/issues/1636/events | https://github.com/huggingface/datasets/issues/1636 | 774,574,378 | MDU6SXNzdWU3NzQ1NzQzNzg= | 1,636 | winogrande cannot be dowloaded | {
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"I have same issue for other datasets (`myanmar_news` in my case).\r\n\r\nA version of `datasets` runs correctly on my local machine (**without GPU**) which looking for the dataset at \r\n```\r\nhttps://raw.githubusercontent.com/huggingface/datasets/master/datasets/myanmar_news/myanmar_news.py\r\n```\r\n\r\nMeanwhi... | 2020-12-24T22:28:22Z | 2022-10-05T12:35:44Z | 2022-10-05T12:35:44Z | null | NONE | [] | null | null | {
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I am getting this error when trying to run the codes on the cloud. Thank you for any suggestion and help on this @lhoestq
```
File "./finetune_trainer.py", line 318, in <module>
main()
File "./finetune_trainer.py", line 148, in main
for task in data_args.tasks]
File "./finetune_trainer.py", ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3405 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3405/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3405/comments | https://api.github.com/repos/huggingface/datasets/issues/3405/events | https://github.com/huggingface/datasets/issues/3405 | 1,074,360,362 | I_kwDODunzps5ACXAq | 3,405 | ZIP format inference does not work when files located in a dir inside the archive | {
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When a zipped file contains archived files within a directory, the function `infer_module_for_data_files_in_archives` does not work.
It only works for files located in the root directory of the ZIP file.
## Steps to reproduce the bug
```python
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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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} | ## Describe the bug
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
raw_da... | {
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https://api.github.com/repos/huggingface/datasets/issues/2478 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2478/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2478/comments | https://api.github.com/repos/huggingface/datasets/issues/2478/events | https://github.com/huggingface/datasets/issues/2478 | 918,507,510 | MDU6SXNzdWU5MTg1MDc1MTA= | 2,478 | Create release script | {
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"I've aligned the release script with Transformers in #6004, so I think this issue can be closed."
] | 2021-06-11T09:38:02Z | 2023-07-20T13:22:23Z | null | {
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https://api.github.com/repos/huggingface/datasets/issues/595 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/595/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/595/comments | https://api.github.com/repos/huggingface/datasets/issues/595/events | https://github.com/huggingface/datasets/issues/595 | 696,892,304 | MDU6SXNzdWU2OTY4OTIzMDQ= | 595 | `Dataset`/`DatasetDict` has no attribute 'save_to_disk' | {
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"`pip install git+https://github.com/huggingface/nlp.git` should have done the job.\r\n\r\nDid you uninstall `nlp` before installing from github ?",
"> Did you uninstall `nlp` before installing from github ?\r\n\r\nI did not. I created a new environment and installed `nlp` directly from `github` and it worked!\r\... | 2020-09-09T15:01:52Z | 2020-09-09T16:20:19Z | 2020-09-09T16:20:18Z | null | NONE | [] | null | null | {
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As the title indicates, both `Dataset` and `DatasetDict` classes don't seem to have the `save_to_disk` method. While the file [`arrow_dataset.py`](https://github.com/huggingface/nlp/blob/34bf0b03bfe03e7f77b8fec1cd48f5452c4fc7c1/src/nlp/arrow_dataset.py) in the repo here has the method, the file `arrow_dataset.p... | {
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https://api.github.com/repos/huggingface/datasets/issues/1729 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1729/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1729/comments | https://api.github.com/repos/huggingface/datasets/issues/1729/events | https://github.com/huggingface/datasets/issues/1729 | 784,565,898 | MDU6SXNzdWU3ODQ1NjU4OTg= | 1,729 | Is there support for Deep learning datasets? | {
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"Hi @ZurMaD!\r\nThanks for your interest in 🤗 `datasets`. Support for image datasets is at an early stage, with CIFAR-10 added in #1617 \r\nMNIST is also on the way: #1730 \r\n\r\nIf you feel like adding another image dataset, I would advise starting by reading the [ADD_NEW_DATASET.md](https://github.com/huggingfa... | 2021-01-12T20:22:41Z | 2021-03-31T04:24:07Z | 2021-03-31T04:24:07Z | null | NONE | [] | null | null | {
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} | I looked around this repository and looking the datasets I think that there's no support for images-datasets. Or am I missing something? For example to add a repo like this https://github.com/DZPeru/fish-datasets | {
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https://api.github.com/repos/huggingface/datasets/issues/5654 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5654/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5654/comments | https://api.github.com/repos/huggingface/datasets/issues/5654/events | https://github.com/huggingface/datasets/issues/5654 | 1,633,523,705 | I_kwDODunzps5hXZf5 | 5,654 | Offset overflow when executing Dataset.map | {
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"Upd. the above code works if we replace `25` with `1`, but the result value at key \"hr\" is not a tensor but a list of lists of lists of uint8.\r\n\r\nAdding `train_data.set_format(\"torch\")` after map fixes this, but the original issue remains\r\n\r\n",
"As a workaround, one can replace\r\n`return {\"hr\": to... | 2023-03-21T09:33:27Z | 2023-03-21T10:32:07Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
Hi, I'm trying to use `.map` method to cache multiple random crops from the image to speed up data processing during training, as the image size is too big.
The map function executes all iterations, and then returns the following error:
```bash
Traceback (most recent call last): ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4678 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4678/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4678/comments | https://api.github.com/repos/huggingface/datasets/issues/4678/events | https://github.com/huggingface/datasets/issues/4678 | 1,303,741,432 | I_kwDODunzps5NtYP4 | 4,678 | Cant pass streaming dataset to dataloader after take() | {
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"Hi! Calling `take` on an iterable/streamable dataset makes it not possible to shard the dataset, which in turn disables multi-process loading (attempts to split the workload over the shards), so to go past this limitation, you can either use single-process loading in `DataLoader` (`num_workers=None`) or fetch the ... | 2022-07-13T17:34:18Z | 2022-07-14T13:07:21Z | null | null | NONE | [] | null | null | {
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} | ## Describe the bug
I am trying to pass a streaming version of c4 to a dataloader, but it can't be passed after I call `dataset.take(n)`. Some functions such as `shuffle()` can be applied without breaking the dataloader but not take.
## Steps to reproduce the bug
```python
import datasets
import torch
dset = ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6699 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6699/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6699/comments | https://api.github.com/repos/huggingface/datasets/issues/6699/events | https://github.com/huggingface/datasets/issues/6699 | 2,158,152,341 | I_kwDODunzps6AosqV | 6,699 | `Dataset` unexpected changed dict data and may cause error | {
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"If `test.jsonl` contains more lines like:\r\n```\r\n{\"id\": 0, \"indexs\": {\"-1\": [0, 10]}}\r\n{\"id\": 1, \"indexs\": {\"-1\": [0, 10]}}\r\n{\"id\": 2, \"indexs\": {\"-2\": [0, 10]}}\r\n...\r\n{\"id\": n, \"indexs\": {\"-9999\": [0, 10]}}\r\n```\r\n\r\n`Dataset.from_json` will just raise an error:\r\n```\r\nAn... | 2024-02-28T05:30:10Z | 2024-02-28T19:14:36Z | null | null | NONE | [] | null | null | {
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Will unexpected get keys with `None` value in the parsed json dict.
### Steps to reproduce the bug
```jsonl test.jsonl
{"id": 0, "indexs": {"-1": [0, 10]}}
{"id": 1, "indexs": {"-1": [0, 10]}}
```
```python
dataset = Dataset.from_json('.test.jsonl')
print(dataset[0])
```
Result:
```... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5498 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5498/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5498/comments | https://api.github.com/repos/huggingface/datasets/issues/5498/events | https://github.com/huggingface/datasets/issues/5498 | 1,568,190,529 | I_kwDODunzps5deLBB | 5,498 | TypeError: 'bool' object is not iterable when filtering a datasets.arrow_dataset.Dataset | {
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"Hi! Instead of a single boolean, your filter function should return an iterable (of booleans) in the batched mode like so:\r\n```python\r\ntrain_dataset = train_dataset.filter(\r\n function=lambda batch: [image is not None for image in batch[\"image\"]], \r\n batched=True,\r\n batc... | 2023-02-02T14:46:49Z | 2023-10-08T06:12:47Z | 2023-02-04T17:19:36Z | null | NONE | [] | null | null | {
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Hi,
Thanks for the amazing work on the library!
**Describe the bug**
I think I might have noticed a small bug in the filter method.
Having loaded a dataset using `load_dataset`, when I try to filter out empty entries with `batched=True`, I get a TypeError.
### Steps to reproduce the ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2360 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2360/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2360/comments | https://api.github.com/repos/huggingface/datasets/issues/2360/events | https://github.com/huggingface/datasets/issues/2360 | 891,965,964 | MDU6SXNzdWU4OTE5NjU5NjQ= | 2,360 | Automatically detect datasets with compatible task schemas | {
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https://api.github.com/repos/huggingface/datasets/issues/6940 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6940/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6940/comments | https://api.github.com/repos/huggingface/datasets/issues/6940/events | https://github.com/huggingface/datasets/issues/6940 | 2,328,637,831 | I_kwDODunzps6KzDGH | 6,940 | Enable Sharding to Equal Sized Shards | {
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} | ### Feature request
Add an option when sharding a dataset to have all shards the same size. Will be good to provide both an option of duplication, and by truncation.
### Motivation
Currently the behavior of sharding is "If n % i == l, then the first l shards will have length (n // i) + 1, and the remaining sha... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6841 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6841/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6841/comments | https://api.github.com/repos/huggingface/datasets/issues/6841/events | https://github.com/huggingface/datasets/issues/6841 | 2,264,687,683 | I_kwDODunzps6G_GRD | 6,841 | Unable to load wiki_auto_asset_turk from GEM | {
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"Hi! I've opened a [PR](https://huggingface.co/datasets/GEM/wiki_auto_asset_turk/discussions/5) with a fix. While waiting for it to be merged, you can load the dataset from the PR branch with `datasets.load_dataset(\"GEM/wiki_auto_asset_turk\", revision=\"refs/pr/5\")`",
"Thanks Mario. Still getting the same issu... | 2024-04-26T00:08:47Z | 2024-05-29T13:54:03Z | 2024-04-26T16:12:29Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
I am unable to load the wiki_auto_asset_turk dataset. I get a fatal error while trying to access wiki_auto_asset_turk and load it with datasets.load_dataset. The error (TypeError: expected str, bytes or os.PathLike object, not NoneType) is from filenames_for_dataset_split in a os.path.join call
... | {
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https://api.github.com/repos/huggingface/datasets/issues/2761 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2761/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2761/comments | https://api.github.com/repos/huggingface/datasets/issues/2761/events | https://github.com/huggingface/datasets/issues/2761 | 961,568,287 | MDU6SXNzdWU5NjE1NjgyODc= | 2,761 | Error loading C4 realnewslike dataset | {
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"Hi @danshirron, \r\n`c4` was updated few days back by @lhoestq. The new configs are `['en', 'en.noclean', 'en.realnewslike', 'en.webtextlike'].` You'll need to remove any older version of this dataset you previously downloaded and then run `load_dataset` again with new configuration.",
"@bhavitvyamalik @lhoestq ... | 2021-08-05T08:16:58Z | 2021-08-08T19:44:34Z | 2021-08-08T19:44:34Z | null | NONE | [] | null | null | {
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} | ## Describe the bug
Error loading C4 realnewslike dataset. Validation part mismatch
## Steps to reproduce the bug
```python
raw_datasets = load_dataset('c4', 'realnewslike', cache_dir=model_args.cache_dir)
## Expected results
success on data loading
## Actual results
Downloading: 100%|███████████████████████... | {
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https://api.github.com/repos/huggingface/datasets/issues/4862 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4862/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4862/comments | https://api.github.com/repos/huggingface/datasets/issues/4862/events | https://github.com/huggingface/datasets/issues/4862 | 1,343,464,699 | I_kwDODunzps5QE6T7 | 4,862 | Got "AttributeError: 'xPath' object has no attribute 'read'" when loading an excel dataset with my own code | {
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"What's more, the downloaded data is actually a folder instead of an excel file.",
"Hi hi, instead of using `download_and_extract` function, I only use `download` function: `base_dir = Path(dl_manager.download(urls))`. It turns out that the code works for `datasets==2.2.2`, however, it doesn't work with `datasets... | 2022-08-18T18:36:14Z | 2022-08-31T09:25:08Z | 2022-08-31T09:25:08Z | {
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} | ## 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
# The dataset function is as follows：
from pathlib import Path
from typing import Dict, List, Tuple
import datasets
import pandas as pd
_CITATION = """\
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https://api.github.com/repos/huggingface/datasets/issues/2000 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2000/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2000/comments | https://api.github.com/repos/huggingface/datasets/issues/2000/events | https://github.com/huggingface/datasets/issues/2000 | 823,899,910 | MDU6SXNzdWU4MjM4OTk5MTA= | 2,000 | Windows Permission Error (most recent version of datasets) | {
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"Hi @itsLuisa !\r\n\r\nCould you give us more information about the error you're getting, please?\r\nA copy-paste of the Traceback would be nice to get a better understanding of what is wrong :) ",
"Hello @SBrandeis , this is it:\r\n```\r\nTraceback (most recent call last):\r\n File \"C:\\Users\\Luisa\\AppData\\... | 2021-03-07T11:55:28Z | 2021-03-09T12:42:57Z | 2021-03-09T12:42:57Z | null | NONE | [] | null | null | {
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} | Hi everyone,
Can anyone help me with why the dataset loading script below raises a Windows Permission Error? I stuck quite closely to https://github.com/huggingface/datasets/blob/master/datasets/conll2003/conll2003.py , only I want to load the data from three local three-column tsv-files (id\ttokens\tpos_tags\n). I am... | {
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https://api.github.com/repos/huggingface/datasets/issues/1696 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1696/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1696/comments | https://api.github.com/repos/huggingface/datasets/issues/1696/events | https://github.com/huggingface/datasets/issues/1696 | 781,096,918 | MDU6SXNzdWU3ODEwOTY5MTg= | 1,696 | Unable to install datasets | {
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"Maybe try to create a virtual env with python 3.8 or 3.7",
"Thanks, @thomwolf! I fixed the issue by downgrading python to 3.7. ",
"Damn sorry",
"Damn sorry"
] | 2021-01-07T07:24:37Z | 2021-01-08T00:33:05Z | 2021-01-07T22:06:05Z | null | NONE | [] | null | null | {
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I believe there's a bug with the package when you're installing it with Python 3.9. I recommend sticking with previous versions. Thanks, @thomwolf for the insight!
**Short description**
I followed the instructions for installing datasets (https://huggingface.co/docs/datasets/installation.html). Howev... | {
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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"
] | 2021-10-19T18:05:31Z | 2021-10-21T14:50:21Z | 2021-10-21T14:50:21Z | {
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} | ## 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/4441 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4441/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4441/comments | https://api.github.com/repos/huggingface/datasets/issues/4441/events | https://github.com/huggingface/datasets/issues/4441 | 1,258,568,656 | I_kwDODunzps5LBDvQ | 4,441 | Dataset Viewer issue for aeslc | {
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"Not sure what happened 😬, but it's fixed"
] | 2022-06-02T18:57:12Z | 2022-06-07T18:50:55Z | 2022-06-07T18:50:55Z | {
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} | ### Link
https://huggingface.co/datasets/aeslc
### Description
The dataset viewer can't find `dataset_infos.json` in it's cache:
```
Server error
Status code: 400
Exception: FileNotFoundError
Message: [Errno 2] No such file or directory: '/cache/modules/datasets_modules/datasets/aeslc/eb8e30234cf9... | {
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https://api.github.com/repos/huggingface/datasets/issues/6829 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6829/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6829/comments | https://api.github.com/repos/huggingface/datasets/issues/6829/events | https://github.com/huggingface/datasets/issues/6829 | 2,258,424,577 | I_kwDODunzps6GnNMB | 6,829 | Load and save from/to disk no longer accept pathlib.Path | {
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"Opened a PR for this: #8004",
"Hi! Triaging older issues — I think this one has shipped and can be closed.\n\nI tried to reproduce on the current `main` branch with the snippet below and both code paths now work:\n\n```python\nfrom pathlib import Path\nimport tempfile\nfrom datasets import Dataset\n\nds = Datase... | 2024-04-23T09:44:45Z | 2026-05-10T11:50:37Z | null | null | MEMBER | [] | null | null | {
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> This change is breaking in
> https://github.com/huggingface/datasets/blob/f96e74d5c633cd5435dd526adb4a74631eb05c43/src/datasets/arrow_dataset.py#L1515
> when the input is `pathlib.Path`. The issue is that `url_to... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7298 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7298/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7298/comments | https://api.github.com/repos/huggingface/datasets/issues/7298/events | https://github.com/huggingface/datasets/issues/7298 | 2,694,196,968 | I_kwDODunzps6gli7o | 7,298 | loading dataset issue with load_dataset() when training controlnet | {
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} | ### Describe the bug
i'm unable to load my dataset for [controlnet training](https://github.com/huggingface/diffusers/blob/074e12358bc17e7dbe111ea4f62f05dbae8a49d5/examples/controlnet/train_controlnet.py#L606) using load_dataset(). however, load_from_disk() seems to work?
would appreciate if someone can explain why ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7335 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7335/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7335/comments | https://api.github.com/repos/huggingface/datasets/issues/7335/events | https://github.com/huggingface/datasets/issues/7335 | 2,743,437,260 | I_kwDODunzps6jhYfM | 7,335 | Too many open files: '/root/.cache/huggingface/token' | {
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} | ### Describe the bug
I ran this code:
```
from datasets import load_dataset
dataset = load_dataset("common-canvas/commoncatalog-cc-by", cache_dir="/datadrive/datasets/cc", num_proc=1000)
```
And got this error.
Before it was some other file though (lie something...incomplete)
runnting
```
ulimit -n 8192
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https://api.github.com/repos/huggingface/datasets/issues/2175 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2175/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2175/comments | https://api.github.com/repos/huggingface/datasets/issues/2175/events | https://github.com/huggingface/datasets/issues/2175 | 851,836,096 | MDU6SXNzdWU4NTE4MzYwOTY= | 2,175 | dataset.search_batch() function outputs all -1 indices sometime. | {
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"Actually, I found the answer [here](https://github.com/facebookresearch/faiss/wiki/FAQ#what-does-it-mean-when-a-search-returns--1-ids). \r\n\r\nSo we have to do some modifications to the code for instances where the index doesn't retrieve any IDs.",
"@lhoestq @patrickvonplaten \r\n\r\nI also found another short... | 2021-04-06T21:50:49Z | 2021-04-16T12:21:16Z | 2021-04-16T12:21:15Z | null | NONE | [] | null | null | {
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} | I am working with RAG and playing around with different faiss indexes. At the moment I use **index = faiss.index_factory(768, "IVF65536_HNSW32,Flat")**.
During the retrieval phase exactly in [this line of retrieval_rag.py](https://github.com/huggingface/transformers/blob/master/src/transformers/models/rag/retrieval_... | {
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https://api.github.com/repos/huggingface/datasets/issues/6941 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6941/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6941/comments | https://api.github.com/repos/huggingface/datasets/issues/6941/events | https://github.com/huggingface/datasets/issues/6941 | 2,328,930,165 | I_kwDODunzps6K0Kd1 | 6,941 | Supporting FFCV: Fast Forward Computer Vision | {
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} | ### Feature request
Supporting FFCV, https://github.com/libffcv/ffcv
### Motivation
According to the benchmark, FFCV seems to be fastest image loading method.
### Your contribution
no | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3835 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3835/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3835/comments | https://api.github.com/repos/huggingface/datasets/issues/3835/events | https://github.com/huggingface/datasets/issues/3835 | 1,161,029,205 | I_kwDODunzps5FM-ZV | 3,835 | The link given on the gigaword does not work | {
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} | ## Dataset viewer issue for '*name of the dataset*'
**Link:** *link to the dataset viewer page*
*short description of the issue*
Am I the one who added this dataset ? Yes-No
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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... | 2021-10-11T17:05:27Z | 2021-10-28T05:52:21Z | 2021-10-28T05:52:21Z | {
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} | ## 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/7423 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7423/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7423/comments | https://api.github.com/repos/huggingface/datasets/issues/7423/events | https://github.com/huggingface/datasets/issues/7423 | 2,879,271,409 | I_kwDODunzps6rnjHx | 7,423 | Row indexing a dataset with numpy integers | {
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"Would be cool to be consistent when it comes to indexing with numpy objects, if we do accept numpy arrays we should indeed accept numpy integers. Your idea sounds reasonable, I'd also be in favor of adding a simple test as well"
] | 2025-02-25T18:44:45Z | 2025-07-28T02:23:17Z | 2025-07-28T02:23:17Z | null | CONTRIBUTOR | [] | null | null | {
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} | ### Feature request
Allow indexing datasets with a scalar numpy integer type.
### Motivation
Indexing a dataset with a scalar numpy.int* object raises a TypeError. This is due to the test in `datasets/formatting/formatting.py:key_to_query_type`
``` python
def key_to_query_type(key: Union[int, slice, range, str, Ite... | {
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https://api.github.com/repos/huggingface/datasets/issues/8149 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8149/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8149/comments | https://api.github.com/repos/huggingface/datasets/issues/8149/events | https://github.com/huggingface/datasets/issues/8149 | 4,316,149,021 | I_kwDODunzps8AAAABAUM1HQ | 8,149 | [Optimization] Prevent per-thread instantiation of Cloud Storage FileSystem during Data loading initialization | {
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"Is it open for contribution?",
"I think arbitrary filesystems would be recreated in every thread in any case, unlike HfFileSystem which has custom code to handle this."
] | 2026-04-23T13:09:19Z | 2026-04-24T14:14:59Z | null | null | NONE | [] | null | null | {
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} | ### Feature request
Modify the dataset loading initialization, so that fsspec filesystem instances (like GCSFileSystem or S3FileSystem) are instantiated once in the main thread and explicitly passed down to the background threads.
By pre-instantiating the fs object in the main thread (where the directory cache from g... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2681 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2681/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2681/comments | https://api.github.com/repos/huggingface/datasets/issues/2681/events | https://github.com/huggingface/datasets/issues/2681 | 948,708,645 | MDU6SXNzdWU5NDg3MDg2NDU= | 2,681 | 5 duplicate datasets | {
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"Yes this was documented in the PR that added this hf->paperswithcode mapping (https://github.com/huggingface/datasets/pull/2404) and AFAICT those are slightly distinct datasets so I think it's a wontfix\r\n\r\nFor context on the paperswithcode mapping you can also refer to https://github.com/huggingface/huggingfac... | 2021-07-20T14:25:00Z | 2021-07-20T15:44:17Z | 2021-07-20T15:44:17Z | null | COLLABORATOR | [] | null | null | {
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} | ## Describe the bug
In 5 cases, I could find a dataset on Paperswithcode which references two Hugging Face datasets as dataset loaders. They are:
- https://paperswithcode.com/dataset/multinli -> https://huggingface.co/datasets/multi_nli and https://huggingface.co/datasets/multi_nli_mismatch
<img width="838... | {
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https://api.github.com/repos/huggingface/datasets/issues/5831 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5831/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5831/comments | https://api.github.com/repos/huggingface/datasets/issues/5831/events | https://github.com/huggingface/datasets/issues/5831 | 1,701,813,835 | I_kwDODunzps5lb55L | 5,831 | [Bug]504 Server Error when loading dataset which was already cached | {
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"I am experiencing the same problem with the following environment:\r\n\r\n* `datasets` version: 2.11.0\r\n* Platform: `Linux 5.19.0-41-generic x86_64 GNU/Linux`\r\n* Python version: `3.8.5`\r\n* Huggingface_hub version: 0.13.3\r\n* PyArrow version: `11.0.0`\r\n* Pandas version: `1.5.3`\r\n\r\nTrying to get some di... | 2023-05-09T10:31:07Z | 2023-05-10T01:48:20Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
I have already cached the dataset using:
```
dataset = load_dataset("databricks/databricks-dolly-15k",
cache_dir="/mnt/data/llm/datasets/databricks-dolly-15k")
```
After that, I tried to load it again using the same machine, I got this error:
```
Traceback (most rece... | {
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https://api.github.com/repos/huggingface/datasets/issues/7377 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7377/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7377/comments | https://api.github.com/repos/huggingface/datasets/issues/7377/events | https://github.com/huggingface/datasets/issues/7377 | 2,802,723,285 | I_kwDODunzps6nDinV | 7,377 | Support for sparse arrays with the Arrow Sparse Tensor format? | {
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"Hi ! Unfortunately the Sparse Tensor structure in Arrow is not part of the Arrow format (yes it's confusing...), so it's not possible to use it in `datasets`. It's a separate structure that doesn't correspond to any type or extension type in Arrow.\n\nThe Arrow community recently added an extension type for fixed ... | 2025-01-21T20:14:35Z | 2026-02-03T23:05:02Z | null | null | NONE | [] | null | null | {
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} | ### Feature request
AI in biology is becoming a big thing. One thing that would be a huge benefit to the field that Huggingface Datasets doesn't currently have is native support for **sparse arrays**.
Arrow has support for sparse tensors.
https://arrow.apache.org/docs/format/Other.html#sparse-tensor
It would be ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7053 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7053/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7053/comments | https://api.github.com/repos/huggingface/datasets/issues/7053/events | https://github.com/huggingface/datasets/issues/7053 | 2,416,423,791 | I_kwDODunzps6QB7Nv | 7,053 | Datasets.datafiles resolve_pattern `TypeError: can only concatenate tuple (not "str") to tuple` | {
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"Hi,\r\n\r\nThis issue was fixed in `datasets` 2.15.0:\r\n- #6105\r\n\r\nYou will need to update your `datasets`:\r\n```\r\npip install -U datasets\r\n```",
"Duplicate of:\r\n- #6100"
] | 2024-07-18T13:42:35Z | 2024-07-18T15:17:42Z | 2024-07-18T15:16:18Z | {
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} | ### Describe the bug
in data_files.py, line 332,
`fs, _, _ = get_fs_token_paths(pattern, storage_options=storage_options)`
If we run the code on AWS, as fs.protocol will be a tuple like: `('file', 'local')`
So, `isinstance(fs.protocol, str) == False` and
`protocol_prefix = fs.protocol + "://" if fs.protocol != ... | {
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https://api.github.com/repos/huggingface/datasets/issues/8037 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8037/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8037/comments | https://api.github.com/repos/huggingface/datasets/issues/8037/events | https://github.com/huggingface/datasets/issues/8037 | 4,008,928,790 | I_kwDODunzps7u82YW | 8,037 | IterableDataset.filter() chaining fails due to features being lost when is_typed=True | {
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} | ### Describe the bug
Chaining multiple .filter() calls on an IterableDataset raises a TypeError: 'NoneType' object is not a mapping on the second .filter() call.
In `IterableDataset.filter()`, the internal `ex_iterable` is wrapped with FormattedExamplesIterable:
```python
ex_iterable = FormattedExamplesIterable(
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https://api.github.com/repos/huggingface/datasets/issues/3687 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3687/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3687/comments | https://api.github.com/repos/huggingface/datasets/issues/3687/events | https://github.com/huggingface/datasets/issues/3687 | 1,127,154,766 | I_kwDODunzps5DLwRO | 3,687 | Can't get the text data when calling to_tf_dataset | {
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"cc @Rocketknight1 ",
"You are correct that `to_tf_dataset` only handles numerical columns right now, yes, though this is a limitation we might remove in future! The main reason we do this is that our models mostly do not include the tokenizer as a model layer, because it's very difficult to compile some of them ... | 2022-02-08T11:52:10Z | 2023-01-19T14:55:18Z | 2023-01-19T14:55:18Z | {
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} | I am working with the SST2 dataset, and am using TensorFlow 2.5
I'd like to convert it to a `tf.data.Dataset` by calling the `to_tf_dataset` method.
The following snippet is what I am using to achieve this:
```
from datasets import load_dataset
from transformers import DefaultDataCollator
data_collator = Defa... | {
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https://api.github.com/repos/huggingface/datasets/issues/6515 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6515/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6515/comments | https://api.github.com/repos/huggingface/datasets/issues/6515/events | https://github.com/huggingface/datasets/issues/6515 | 2,049,724,251 | I_kwDODunzps56LE9b | 6,515 | Why call http_head() when fsspec_head() succeeds | {
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https://api.github.com/repos/huggingface/datasets/issues/5112 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5112/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5112/comments | https://api.github.com/repos/huggingface/datasets/issues/5112/events | https://github.com/huggingface/datasets/issues/5112 | 1,409,143,409 | I_kwDODunzps5T_dJx | 5,112 | Bug with filtered indices | {
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"The issue is here:\r\nhttps://github.com/huggingface/datasets/blob/3ad9644b9a2e4558dd1d0f1e43c67658674e6228/src/datasets/arrow_dataset.py#L2964",
"@PartiallyTyped, @Muennighoff: the issue is fixed.\r\n\r\nWe are planning to make a patch release today.",
"Thanks a lot for the swift response! For a brief moment ... | 2022-10-14T10:35:47Z | 2022-10-14T13:55:03Z | 2022-10-14T12:11:45Z | {
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} | ## Describe the bug
As reported by @PartiallyTyped (and by @Muennighoff):
- https://github.com/huggingface/datasets/issues/5111#issuecomment-1278652524
There is an issue with the indices of a filtered dataset.
## Steps to reproduce the bug
```python
ds = Dataset.from_dict({"num": [0, 1, 2, 3]})
ds = ds.filte... | {
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https://api.github.com/repos/huggingface/datasets/issues/4506 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4506/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4506/comments | https://api.github.com/repos/huggingface/datasets/issues/4506/events | https://github.com/huggingface/datasets/issues/4506 | 1,272,516,895 | I_kwDODunzps5L2REf | 4,506 | Failure to hash (and cache) a `.map(...)` (almost always) - using this method can produce incorrect results | {
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"Important info:\r\n\r\nAs hashes are generated randomly for functions, it leads to **false identifying some results as already hashed** (mapping function is not executed after a method update) when there's a `pytorch_lightning.seed_everything(123)`",
"@lhoestq\r\nseems like quite critical stuff for me, if I'm no... | 2022-06-15T17:11:31Z | 2023-02-16T03:14:32Z | 2022-06-28T13:23:05Z | {
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} | ## Describe the bug
Sometimes I get messages about not being able to hash a method:
`Parameter 'function'=<function StupidDataModule._separate_speaker_id_from_dialogue at 0x7f1b27180d30> of the transform datasets.arrow_dataset.Dataset.
_map_single couldn't be hashed properly, a random hash was used instead. Make sur... | {
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https://api.github.com/repos/huggingface/datasets/issues/7637 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7637/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7637/comments | https://api.github.com/repos/huggingface/datasets/issues/7637/events | https://github.com/huggingface/datasets/issues/7637 | 3,171,883,522 | I_kwDODunzps69DxoC | 7,637 | Introduce subset_name as an alias of config_name | {
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"I second this! When you come from the Hub, the intuitive question is \"how do I set the subset name\", and it's not easily answered from the docs: `subset_name` would answer this directly.",
"I've submitted PR [#7657](https://github.com/huggingface/datasets/pull/7657) to introduce subset_name as a user-facing al... | 2025-06-24T12:49:01Z | 2025-07-01T16:08:33Z | null | null | MEMBER | [] | null | null | {
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} | ### Feature request
Add support for `subset_name` as an alias for `config_name` in the datasets library and related tools (such as loading scripts, documentation, and metadata).
### Motivation
The Hugging Face Hub dataset viewer displays a column named **"Subset"**, which refers to what is currently technically call... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7061 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7061/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7061/comments | https://api.github.com/repos/huggingface/datasets/issues/7061/events | https://github.com/huggingface/datasets/issues/7061 | 2,423,786,881 | I_kwDODunzps6QeA2B | 7,061 | Custom Dataset | Still Raise Error while handling errors in _generate_examples | {
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} | ### Describe the bug
I follow this [example](https://discuss.huggingface.co/t/error-handling-in-iterabledataset/72827/3) to handle errors in custom dataset. I am writing a dataset script which read jsonl files and i need to handle errors and continue reading files without raising exception and exit the execution.
`... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7178 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7178/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7178/comments | https://api.github.com/repos/huggingface/datasets/issues/7178/events | https://github.com/huggingface/datasets/issues/7178 | 2,552,378,330 | I_kwDODunzps6YIjPa | 7,178 | Support Python 3.11 | {
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https://api.github.com/repos/huggingface/datasets/issues/6622 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6622/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6622/comments | https://api.github.com/repos/huggingface/datasets/issues/6622/events | https://github.com/huggingface/datasets/issues/6622 | 2,103,780,697 | I_kwDODunzps59ZSVZ | 6,622 | multi-GPU map does not work | {
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"This should now be fixed by https://github.com/huggingface/datasets/pull/6550 and updated with https://github.com/huggingface/datasets/pull/6646\r\n\r\nFeel free to re-open if you're still having issues :)"
] | 2024-01-27T20:06:08Z | 2024-02-08T11:18:21Z | 2024-02-08T11:18:21Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Here is the code for single-GPU processing: https://pastebin.com/bfmEeK2y
Here is the code for multi-GPU processing: https://pastebin.com/gQ7i5AQy
Here is the video showing that the multi-GPU mapping does not work as expected (there are so many things wrong here, it's better to watch the 3-min... | {
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https://api.github.com/repos/huggingface/datasets/issues/6774 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6774/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6774/comments | https://api.github.com/repos/huggingface/datasets/issues/6774/events | https://github.com/huggingface/datasets/issues/6774 | 2,222,164,316 | I_kwDODunzps6Ec4lc | 6,774 | Generating split is very slow when Image format is PNG | {
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"I think this is due to the speed of reading a `png` image using pillow compared to a `jpg` image.\r\nNotably the same is true with `tiff`, it is even faster than `jpg` in my case."
] | 2024-04-03T07:47:31Z | 2024-04-10T17:28:17Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
When I create a dataset, it gets stuck while generating cached data.
The image format is PNG, and it will not get stuck when the image format is jpeg.
After debugging, I know that it is b... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6899 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6899/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6899/comments | https://api.github.com/repos/huggingface/datasets/issues/6899/events | https://github.com/huggingface/datasets/issues/6899 | 2,298,059,597 | I_kwDODunzps6I-ZtN | 6,899 | List of dictionary features get standardized | {
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"I think this may be a limitation of the arrow format",
"Dupe of #5950\n"
] | 2024-05-15T14:11:35Z | 2025-04-01T20:48:03Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
Hi, i’m trying to create a HF dataset from a list using Dataset.from_list.
Each sample in the list is a dict with the same keys (which will be my features). The values for each feature are a list of dictionaries, and each such dictionary has a different set of keys. However, the datasets librar... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5839 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5839/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5839/comments | https://api.github.com/repos/huggingface/datasets/issues/5839/events | https://github.com/huggingface/datasets/issues/5839 | 1,704,554,718 | I_kwDODunzps5lmXDe | 5,839 | Make models/functions optimized with `torch.compile` hashable | {
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} | As reported in https://github.com/huggingface/datasets/issues/5819, hashing functions/transforms that reference a model, or a function, optimized with `torch.compile` currently fails due to them not being picklable (the concrete error can be found in the linked issue).
The solutions to consider:
1. hashing/pickling... | {
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https://api.github.com/repos/huggingface/datasets/issues/699 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/699/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/699/comments | https://api.github.com/repos/huggingface/datasets/issues/699/events | https://github.com/huggingface/datasets/issues/699 | 713,395,642 | MDU6SXNzdWU3MTMzOTU2NDI= | 699 | XNLI dataset is not loading | {
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"also i tried below code to solve checksum error \r\n`datasets-cli test ./datasets/xnli --save_infos --all_configs`\r\n\r\nand it shows \r\n\r\n```\r\n2020-10-02 07:06:16.588760: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\r\nTraceback (most ... | 2020-10-02T06:53:16Z | 2020-10-03T17:45:52Z | 2020-10-03T17:43:37Z | null | NONE | [] | null | null | {
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} | `dataset = datasets.load_dataset(path='xnli')`
showing below error
```
/opt/conda/lib/python3.7/site-packages/nlp/utils/info_utils.py in verify_checksums(expected_checksums, recorded_checksums, verification_name)
36 if len(bad_urls) > 0:
37 error_msg = "Checksums didn't match" + for_verifi... | {
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https://api.github.com/repos/huggingface/datasets/issues/2402 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2402/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2402/comments | https://api.github.com/repos/huggingface/datasets/issues/2402/events | https://github.com/huggingface/datasets/issues/2402 | 900,025,329 | MDU6SXNzdWU5MDAwMjUzMjk= | 2,402 | PermissionError on Windows when using temp dir for caching | {
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} | Currently, the following code raises a PermissionError on master if working on Windows:
```python
# run as a script or call exit() in REPL to initiate the temp dir cleanup
from datasets import *
d = load_dataset("sst", split="train", keep_in_memory=False)
set_caching_enabled(False)
d.map(lambda ex: ex)
```
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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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] | closed | false | [] | null | [
"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-... | 2021-09-29T16:04:24Z | 2022-04-10T14:49:49Z | 2022-04-10T14:49:49Z | null | NONE | [] | null | null | {
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} | {
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"blocking": 0,
"total_blocked_by": 0,
"total_blocking": 0
} | ## 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/4400 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4400/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4400/comments | https://api.github.com/repos/huggingface/datasets/issues/4400/events | https://github.com/huggingface/datasets/issues/4400 | 1,247,404,237 | I_kwDODunzps5KWeDN | 4,400 | load dataset wikitext-2-raw-v1 failed. Could not reach wikitext-2-raw-v1.py. | {
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"I tried in this way.\r\n\r\n```python\r\nfrom datasets import load_dataset\r\ndataset = load_dataset(path=\"wikitext\", name=\"wikitext-103-v1\", split=\"train\")\r\n```"
] | 2022-05-25T03:10:44Z | 2022-10-24T06:10:27Z | 2022-05-25T03:26:36Z | null | NONE | [] | null | null | {
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} | {
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"total_blocked_by": 0,
"total_blocking": 0
} | ## Describe the bug
Could not reach wikitext-2-raw-v1.py
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset("wikitext-2-raw-v1")
```
## Expected results
Download `wikitext-2-raw-v1` dataset successfully.
## Actual results
```
File "load_datasets.py", line 13, in <m... | {
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https://api.github.com/repos/huggingface/datasets/issues/3392 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3392/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3392/comments | https://api.github.com/repos/huggingface/datasets/issues/3392/events | https://github.com/huggingface/datasets/issues/3392 | 1,073,073,408 | I_kwDODunzps4_9c0A | 3,392 | Dataset viewer issue for `dansbecker/hackernews_hiring_posts` | {
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"This issue was fixed by me calling `all_datasets.push_to_hub(\"hackernews_hiring_posts\")`.\r\n\r\nThe previous problems were from calling `all_datasets.save_to_disk` and then pushing with `my_repo.git_add` and `my_repo.push_to_hub`.\r\n"
] | 2021-12-07T08:41:01Z | 2021-12-07T14:04:28Z | 2021-12-07T14:04:28Z | null | COLLABORATOR | [] | null | null | {
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} | ## Dataset viewer issue for `dansbecker/hackernews_hiring_posts`
**Link:** https://huggingface.co/datasets/dansbecker/hackernews_hiring_posts
*short description of the issue*
Dataset preview not showing for uploaded DatasetDict. See https://discuss.huggingface.co/t/dataset-preview-not-showing-for-uploaded-data... | {
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https://api.github.com/repos/huggingface/datasets/issues/2117 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2117/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2117/comments | https://api.github.com/repos/huggingface/datasets/issues/2117/events | https://github.com/huggingface/datasets/issues/2117 | 841,535,283 | MDU6SXNzdWU4NDE1MzUyODM= | 2,117 | load_metric from local "glue.py" meet error 'NoneType' object is not callable | {
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"@Frankie123421 what was the resolution to this?",
"> @Frankie123421 what was the resolution to this?\r\n\r\nuse glue_metric.py instead of glue.py in load_metric",
"thank you!"
] | 2021-03-26T02:35:22Z | 2021-08-25T21:44:05Z | 2021-03-26T02:40:26Z | null | NONE | [] | null | null | {
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} | actual_task = "mnli" if task == "mnli-mm" else task
dataset = load_dataset(path='/home/glue.py', name=actual_task)
metric = load_metric(path='/home/glue.py', name=actual_task)
---------------------------------------------------------------------------
TypeError Traceback (most recent... | {
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https://api.github.com/repos/huggingface/datasets/issues/5980 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5980/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5980/comments | https://api.github.com/repos/huggingface/datasets/issues/5980/events | https://github.com/huggingface/datasets/issues/5980 | 1,770,255,973 | I_kwDODunzps5pg_Zl | 5,980 | Viewing dataset card returns “502 Bad Gateway” | {
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"Can you try again? Maybe there was a minor outage.",
"Yes, it seems to be working now. In case it's helpful, the outage lasted several days. It was failing as late as yesterday morning. ",
"we fixed something on the server side, glad it's fixed now"
] | 2023-06-22T19:14:48Z | 2023-06-27T08:38:19Z | 2023-06-26T14:42:45Z | null | NONE | [] | null | null | {
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} | The url is: https://huggingface.co/datasets/Confirm-Labs/pile_ngrams_trigrams
I am able to successfully view the “Files and versions” tab: [Confirm-Labs/pile_ngrams_trigrams at main](https://huggingface.co/datasets/Confirm-Labs/pile_ngrams_trigrams/tree/main)
Any help would be appreciated! Thanks! I hope this is ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7059 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7059/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7059/comments | https://api.github.com/repos/huggingface/datasets/issues/7059/events | https://github.com/huggingface/datasets/issues/7059 | 2,422,827,892 | I_kwDODunzps6QaWt0 | 7,059 | None values are skipped when reading jsonl in subobjects | {
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} | ### Describe the bug
I have been fighting against my machine since this morning only to find out this is some kind of a bug.
When loading a dataset composed of `metadata.jsonl`, if you have nullable values (Optional[str]), they can be ignored by the parser, shifting things around.
E.g., let's take this example
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https://api.github.com/repos/huggingface/datasets/issues/217 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/217/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/217/comments | https://api.github.com/repos/huggingface/datasets/issues/217/events | https://github.com/huggingface/datasets/issues/217 | 627,128,403 | MDU6SXNzdWU2MjcxMjg0MDM= | 217 | Multi-task dataset mixing | {
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"I like this feature! I think the first question we should decide on is how to convert all datasets into the same format. In T5, the authors decided to format every dataset into a text-to-text format. If the dataset had \"multiple\" inputs like MNLI, the inputs were concatenated. So in MNLI the input:\r\n\r\n> - **... | 2020-05-29T09:22:26Z | 2025-09-24T08:59:38Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | It seems like many of the best performing models on the GLUE benchmark make some use of multitask learning (simultaneous training on multiple tasks).
The [T5 paper](https://arxiv.org/pdf/1910.10683.pdf) highlights multiple ways of mixing the tasks together during finetuning:
- **Examples-proportional mixing** - sam... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5951 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5951/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5951/comments | https://api.github.com/repos/huggingface/datasets/issues/5951/events | https://github.com/huggingface/datasets/issues/5951 | 1,756,363,546 | I_kwDODunzps5or_sa | 5,951 | What is the Right way to use discofuse dataset?? | {
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"Thanks for opening https://huggingface.co/datasets/discofuse/discussions/3, let's continue the discussion over there if you don't mind",
"I have posted there also sir, please check\r\n@lhoestq"
] | 2023-06-14T08:38:39Z | 2023-06-14T13:25:06Z | 2023-06-14T12:10:16Z | null | NONE | [] | null | null | {
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} | [Click here for Dataset link](https://huggingface.co/datasets/discofuse/viewer/discofuse-wikipedia/train?row=6)
**Below is the following way, as per my understanding , Is it correct :question: :question:**
The **columns/features from `DiscoFuse dataset`** that will be the **input to the `encoder` and `decoder`** ar... | {
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https://api.github.com/repos/huggingface/datasets/issues/4864 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4864/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4864/comments | https://api.github.com/repos/huggingface/datasets/issues/4864/events | https://github.com/huggingface/datasets/issues/4864 | 1,344,410,043 | I_kwDODunzps5QIhG7 | 4,864 | Allow pathlib PoxisPath in Dataset.read_json | {
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"This same error will occur using `ds = datasets.load_dataset('json', data_files=['test.jsonl'])`",
"@cccntu I want to make a quick fix for this, but I am struggling to find where the json dataset builder is. Do you know?",
"@vvvm23 I think you mean think:\r\n```python\r\nds = datasets.load_dataset('json', data... | 2022-08-19T12:59:17Z | 2025-04-11T17:22:48Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | **Is your feature request related to a problem? Please describe.**
```
from pathlib import Path
from datasets import Dataset
ds = Dataset.read_json(Path('data.json'))
```
causes an error
```
AttributeError: 'PosixPath' object has no attribute 'decode'
```
**Describe the solution you'd like**
It should be... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2980 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2980/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2980/comments | https://api.github.com/repos/huggingface/datasets/issues/2980/events | https://github.com/huggingface/datasets/issues/2980 | 1,009,873,482 | I_kwDODunzps48MXJK | 2,980 | OpenSLR 25: ASR data for Amharic, Swahili and Wolof | {
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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 ... | 2021-09-28T15:04:36Z | 2021-09-29T17:25:14Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | ## 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 ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/238 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/238/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/238/comments | https://api.github.com/repos/huggingface/datasets/issues/238/events | https://github.com/huggingface/datasets/issues/238 | 631,260,143 | MDU6SXNzdWU2MzEyNjAxNDM= | 238 | [Metric] Bertscore : Warning : Empty candidate sentence; Setting recall to be 0. | {
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"This print statement comes from the official implementation of bert_score (see [here](https://github.com/Tiiiger/bert_score/blob/master/bert_score/utils.py#L343)). The warning shows up only if the attention mask outputs no candidate.\r\nRight now we want to only use official code for metrics to have fair evaluatio... | 2020-06-05T02:14:47Z | 2020-06-29T17:10:19Z | 2020-06-29T17:10:19Z | null | NONE | [] | null | null | {
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} | When running BERT-Score, I'm meeting this warning :
> Warning: Empty candidate sentence; Setting recall to be 0.
Code :
```
import nlp
metric = nlp.load_metric("bertscore")
scores = metric.compute(["swag", "swags"], ["swags", "totally something different"], lang="en", device=0)
```
---
**What am I do... | {
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https://api.github.com/repos/huggingface/datasets/issues/2708 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2708/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2708/comments | https://api.github.com/repos/huggingface/datasets/issues/2708/events | https://github.com/huggingface/datasets/issues/2708 | 951,092,660 | MDU6SXNzdWU5NTEwOTI2NjA= | 2,708 | QASC: incomplete training set | {
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"Hi @danyaljj, thanks for reporting.\r\n\r\nUnfortunately, I have not been able to reproduce your problem. My train split has 8134 examples:\r\n```ipython\r\nIn [10]: ds[\"train\"]\r\nOut[10]:\r\nDataset({\r\n features: ['id', 'question', 'choices', 'answerKey', 'fact1', 'fact2', 'combinedfact', 'formatted_quest... | 2021-07-22T21:59:44Z | 2021-07-23T13:30:07Z | 2021-07-23T13:30:07Z | null | CONTRIBUTOR | [] | null | null | {
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} | ## Describe the bug
The training instances are not loaded properly.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("qasc", script_version='1.10.2')
def load_instances(split):
instances = dataset[split]
print(f"split: {split} - size: {len(instanc... | {
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https://api.github.com/repos/huggingface/datasets/issues/3401 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3401/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3401/comments | https://api.github.com/repos/huggingface/datasets/issues/3401/events | https://github.com/huggingface/datasets/issues/3401 | 1,073,603,508 | I_kwDODunzps4__eO0 | 3,401 | Add Wikimedia pre-processed datasets | {
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"As we are planning to stop using Apache Beam (our `datasets.BeamBasedBuilder`) for the generation of some datasets (including [Wikipedia](https://huggingface.co/datasets/wikipedia/blob/main/wikipedia.py)), I have been working on [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) to:\r\n- Po... | 2021-12-07T17:33:19Z | 2024-10-09T16:10:47Z | 2024-10-09T16:10:47Z | {
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} | ## Adding a Dataset
- **Name:** Add pre-processed data to:
- *wikimedia/wikipedia*: https://huggingface.co/datasets/wikimedia/wikipedia
- *wikimedia/wikisource*: https://huggingface.co/datasets/wikimedia/wikisource
- **Description:** Add pre-processed data to the Hub for all languages
- **Paper:** *link to the... | {
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https://api.github.com/repos/huggingface/datasets/issues/3475 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3475/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3475/comments | https://api.github.com/repos/huggingface/datasets/issues/3475/events | https://github.com/huggingface/datasets/issues/3475 | 1,087,352,041 | I_kwDODunzps5Az6zp | 3,475 | The rotten_tomatoes dataset of movie reviews contains some reviews in Spanish | {
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"Hi @puzzler10, thanks for reporting.\r\n\r\nPlease note this dataset is not hosted on Hugging Face Hub. See: \r\nhttps://github.com/huggingface/datasets/blob/c8f914473b041833fd47178fa4373cdcb56ac522/datasets/rotten_tomatoes/rotten_tomatoes.py#L42\r\n\r\nIf there are issues with the source data of a dataset, you sh... | 2021-12-23T03:56:43Z | 2021-12-24T00:23:03Z | null | null | NONE | [] | null | null | {
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} | ## Describe the bug
See title. I don't think this is intentional and they probably should be removed. If they stay the dataset description should be at least updated to make it clear to the user.
## Steps to reproduce the bug
Go to the [dataset viewer](https://huggingface.co/datasets/viewer/?dataset=rotten_tomato... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5769 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5769/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5769/comments | https://api.github.com/repos/huggingface/datasets/issues/5769/events | https://github.com/huggingface/datasets/issues/5769 | 1,673,441,182 | I_kwDODunzps5jvq-e | 5,769 | Tiktoken tokenizers are not pickable | {
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"Thanks for reporting, @markovalexander.\r\n\r\nUnfortunately, I'm not able to reproduce the issue: the `tiktoken` tokenizer can be used within `Dataset.map`, both in my local machine and in a Colab notebook: https://colab.research.google.com/drive/1DhJroZgk0sNFJ2Mrz-jYgrmh9jblXaCG?usp=sharing\r\n\r\nAre you sure y... | 2023-04-18T16:07:40Z | 2023-05-04T18:55:57Z | 2023-05-04T18:55:57Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Since tiktoken tokenizer is not pickable, it is not possible to use it inside `dataset.map()` with multiprocessing enabled. However, you [made](https://github.com/huggingface/datasets/issues/5536) tiktoken's tokenizers pickable in `datasets==2.10.0` for caching. For some reason, this logic does no... | {
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https://api.github.com/repos/huggingface/datasets/issues/4094 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4094/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4094/comments | https://api.github.com/repos/huggingface/datasets/issues/4094/events | https://github.com/huggingface/datasets/issues/4094 | 1,192,534,414 | I_kwDODunzps5HFKGO | 4,094 | Helo Mayfrends | {
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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 reas... | {
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https://api.github.com/repos/huggingface/datasets/issues/6886 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6886/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6886/comments | https://api.github.com/repos/huggingface/datasets/issues/6886/events | https://github.com/huggingface/datasets/issues/6886 | 2,286,328,984 | I_kwDODunzps6IRpyY | 6,886 | load_dataset with data_dir and cache_dir set fail with not supported | {
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} | ### Describe the bug
with python 3.11 I execute:
```py
from transformers import Wav2Vec2Processor, Data2VecAudioModel
import torch
from torch import nn
from datasets import load_dataset, concatenate_datasets
# load demo audio and set processor
dataset_clean = load_dataset("librispeech_asr", "clean", split="... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/3097 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3097/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3097/comments | https://api.github.com/repos/huggingface/datasets/issues/3097/events | https://github.com/huggingface/datasets/issues/3097 | 1,027,750,811 | I_kwDODunzps49Qjub | 3,097 | `ModuleNotFoundError: No module named 'fsspec.exceptions'` | {
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"Thanks for reporting, @VictorSanh.\r\n\r\nI'm fixing it."
] | 2021-10-15T19:34:38Z | 2021-10-18T07:51:54Z | 2021-10-18T07:51:54Z | {
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} | ## 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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https://api.github.com/repos/huggingface/datasets/issues/4657 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4657/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4657/comments | https://api.github.com/repos/huggingface/datasets/issues/4657/events | https://github.com/huggingface/datasets/issues/4657 | 1,296,743,133 | I_kwDODunzps5NSrrd | 4,657 | Add SQuAD2.0 Dataset | {
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"Hey, It's already present [here](https://huggingface.co/datasets/squad_v2) ",
"Hi! This dataset is indeed already available on the Hub. Closing."
] | 2022-07-07T03:19:36Z | 2022-07-12T16:14:52Z | 2022-07-12T16:14:52Z | null | NONE | [] | null | null | {
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} | ## Adding a Dataset
- **Name:** *SQuAD2.0*
- **Description:** *Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading ... | {
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https://api.github.com/repos/huggingface/datasets/issues/915 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/915/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/915/comments | https://api.github.com/repos/huggingface/datasets/issues/915/events | https://github.com/huggingface/datasets/issues/915 | 753,118,481 | MDU6SXNzdWU3NTMxMTg0ODE= | 915 | Shall we change the hashing to encoding to reduce potential replicated cache files? | {
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"This is an interesting idea !\r\nDo you have ideas about how to approach the decoding and the normalization ?",
"@lhoestq\r\nI think we first need to save the transformation chain to a list in `self._fingerprint`. Then we can\r\n- decode all the current saved datasets to see if there is already one that is equiv... | 2020-11-30T03:50:46Z | 2020-12-24T05:11:49Z | null | null | NONE | [] | null | null | {
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} | Hi there. For now, we are using `xxhash` to hash the transformations to fingerprint and we will save a copy of the processed dataset to disk if there is a new hash value. However, there are some transformations that are idempotent or commutative to each other. I think that encoding the transformation chain as the finge... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1785 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1785/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1785/comments | https://api.github.com/repos/huggingface/datasets/issues/1785/events | https://github.com/huggingface/datasets/issues/1785 | 795,458,856 | MDU6SXNzdWU3OTU0NTg4NTY= | 1,785 | Not enough disk space (Needed: Unknown size) when caching on a cluster | {
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"Hi ! \r\n\r\nWhat do you mean by \"disk_usage(\".\").free` can't compute on the cluster's shared disk\" exactly ?\r\nDoes it return 0 ?",
"Yes, that's right. It shows 0 free space even though there is. I suspect it might have to do with permissions on the shared disk.\r\n\r\n```python\r\n>>> disk_usage(\".\")\r\... | 2021-01-27T21:30:59Z | 2024-12-04T02:57:00Z | 2021-01-30T01:07:56Z | null | CONTRIBUTOR | [] | null | null | {
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} | I'm running some experiments where I'm caching datasets on a cluster and accessing it through multiple compute nodes. However, I get an error when loading the cached dataset from the shared disk.
The exact error thrown:
```bash
>>> load_dataset(dataset, cache_dir="/path/to/cluster/shared/path")
OSError: Not eno... | {
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https://api.github.com/repos/huggingface/datasets/issues/6485 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6485/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6485/comments | https://api.github.com/repos/huggingface/datasets/issues/6485/events | https://github.com/huggingface/datasets/issues/6485 | 2,035,141,884 | I_kwDODunzps55Tcz8 | 6,485 | FileNotFoundError: [Errno 2] No such file or directory: 'nul' | {
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"Hi! It seems like the problem is your environment. Maybe this issue can help: https://github.com/pytest-dev/pytest/issues/9519. "
] | 2023-12-11T08:52:13Z | 2023-12-14T08:09:08Z | 2023-12-14T08:09:08Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
it seems that sth wrong with my terrible "bug body" life, When i run this code, "import datasets"
i meet this error FileNotFoundError: [Errno 2] No such file or directory: 'nul'
![image](htt... | {
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https://api.github.com/repos/huggingface/datasets/issues/4996 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4996/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4996/comments | https://api.github.com/repos/huggingface/datasets/issues/4996/events | https://github.com/huggingface/datasets/issues/4996 | 1,379,345,161 | I_kwDODunzps5SNyMJ | 4,996 | Dataset Viewer issue for Jean-Baptiste/wikiner_fr | {
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"The script uses `Dataset.load_from_disk`, which as you can expect, doesn't work in streaming mode.\r\n\r\nIt would probably be more practical to load the dataset locally using `Dataset.load_from_disk` first and then `push_to_hub` to upload it in Parquet on the Hub",
"I've transferred this issue to the Hub repo: ... | 2022-09-20T12:32:07Z | 2022-09-27T12:35:44Z | 2022-09-27T12:35:44Z | null | COLLABORATOR | [] | null | null | {
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https://huggingface.co/datasets/Jean-Baptiste/wikiner_fr
### Description
```
Error code: StreamingRowsError
Exception: FileNotFoundError
Message: [Errno 2] No such file or directory: 'zip:/data/train::https:/huggingface.co/datasets/Jean-Baptiste/wikiner_fr/resolve/main/data.zip/state.json'
Tra... | {
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https://api.github.com/repos/huggingface/datasets/issues/2391 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2391/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2391/comments | https://api.github.com/repos/huggingface/datasets/issues/2391/events | https://github.com/huggingface/datasets/issues/2391 | 898,128,099 | MDU6SXNzdWU4OTgxMjgwOTk= | 2,391 | Missing original answers in kilt-TriviaQA | {
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"That could be useful indeed! Feel free to open a PR on the dataset card if you already have some code that runs, otherwise we'll take care of it soon :) ",
"I can open a PR but there is 2 details to fix:\r\n- the name for the corresponding key (e.g. `original_answer`)\r\n- how to implement it: I’m not sure what ... | 2021-05-21T14:57:07Z | 2021-06-14T17:29:11Z | 2021-06-14T17:29:11Z | null | CONTRIBUTOR | [] | null | null | {
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} | I previously opened an issue at https://github.com/facebookresearch/KILT/issues/42 but from the answer of @fabiopetroni it seems that the problem comes from HF-datasets
## Describe the bug
The `answer` field in kilt-TriviaQA, e.g. `kilt_tasks['train_triviaqa'][0]['output']['answer']` contains a list of alternative ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7675 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7675/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7675/comments | https://api.github.com/repos/huggingface/datasets/issues/7675/events | https://github.com/huggingface/datasets/issues/7675 | 3,216,699,094 | I_kwDODunzps6_uu7W | 7,675 | common_voice_11_0.py failure in dataset library | {
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"Hi ! This dataset is not in a supported format and `datasets` 4 doesn't support datasets that based on python scripts which are often source of errors. Feel free to ask the dataset authors to convert the dataset to a supported format at https://huggingface.co/datasets/mozilla-foundation/common_voice_11_0/discussio... | 2025-07-09T17:47:59Z | 2025-07-22T09:35:42Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
I tried to download dataset but have got this error:
from datasets import load_dataset
load_dataset("mozilla-foundation/common_voice_11_0", "en", split="test", streaming=True)
---------------------------------------------------------------------------
RuntimeError Tr... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2446 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2446/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2446/comments | https://api.github.com/repos/huggingface/datasets/issues/2446/events | https://github.com/huggingface/datasets/issues/2446 | 911,635,399 | MDU6SXNzdWU5MTE2MzUzOTk= | 2,446 | `yelp_polarity` is broken | {
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"```\r\nFile \"/home/sasha/.local/share/virtualenvs/lib-ogGKnCK_/lib/python3.7/site-packages/streamlit/script_runner.py\", line 332, in _run_script\r\n exec(code, module.__dict__)\r\nFile \"/home/sasha/nlp-viewer/run.py\", line 233, in <module>\r\n configs = get_confs(option)\r\nFile \"/home/sasha/.local/shar... | 2021-06-04T15:44:29Z | 2021-06-04T18:56:47Z | 2021-06-04T18:56:47Z | null | CONTRIBUTOR | [] | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4945 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4945/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4945/comments | https://api.github.com/repos/huggingface/datasets/issues/4945/events | https://github.com/huggingface/datasets/issues/4945 | 1,364,691,096 | I_kwDODunzps5RV4iY | 4,945 | Push to hub can push splits that do not respect the regex | {
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] | closed | false | [] | null | [] | 2022-09-07T13:45:17Z | 2022-09-13T10:16:35Z | 2022-09-13T10:16:35Z | null | MEMBER | [] | null | null | {
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} | ## Describe the bug
The `push_to_hub` method can push splits that do not respect the regex check that is used for downloads. Therefore, splits may be pushed but never re-used, which can be painful if the split was done after runtime preprocessing.
## Steps to reproduce the bug
```python
>>> from datasets import... | {
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https://api.github.com/repos/huggingface/datasets/issues/5231 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5231/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5231/comments | https://api.github.com/repos/huggingface/datasets/issues/5231/events | https://github.com/huggingface/datasets/issues/5231 | 1,445,883,267 | I_kwDODunzps5WLm2D | 5,231 | Using `set_format(type='torch', columns=columns)` makes Array2D/3D columns stop formatting correctly | {
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"In case others find this, the problem was not with set_format, but my usages of `to_pandas()` and `from_pandas()` which I was using during dataset splitting; somewhere in the chain of converting to and from pandas the `Array2D/Array3D` types get converted to series of `Sequence()` types"
] | 2022-11-11T18:54:36Z | 2022-11-11T20:42:29Z | 2022-11-11T18:59:50Z | null | NONE | [] | null | null | {
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} | I have a Dataset with two Features defined as follows:
```
'image': Array3D(dtype="int64", shape=(3, 224, 224)),
'bbox': Array2D(dtype="int64", shape=(512, 4)),
```
On said dataset, if I `dataset.set_format(type='torch')` and then use the dataset in a dataloader, these columns are correctly cast to Tensors of ... | {
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https://api.github.com/repos/huggingface/datasets/issues/3365 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3365/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3365/comments | https://api.github.com/repos/huggingface/datasets/issues/3365/events | https://github.com/huggingface/datasets/issues/3365 | 1,069,195,887 | I_kwDODunzps4_uqJv | 3,365 | Add task tags for multimodal datasets | {
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"The Hub pulls these tags from [here](https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts) (allows multimodal tasks) now, so I'm closing this issue."
] | 2021-12-02T06:58:20Z | 2023-07-25T18:21:33Z | 2023-07-25T18:21:32Z | null | MEMBER | [] | null | null | {
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} | ## **Is your feature request related to a problem? Please describe.**
Currently, task tags are either exclusively related to text or speech processing:
- https://github.com/huggingface/datasets/blob/master/src/datasets/utils/resources/tasks.json
## **Describe the solution you'd like**
We should also add tasks... | {
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https://api.github.com/repos/huggingface/datasets/issues/7573 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7573/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7573/comments | https://api.github.com/repos/huggingface/datasets/issues/7573/events | https://github.com/huggingface/datasets/issues/7573 | 3,076,415,382 | I_kwDODunzps63Xl-W | 7,573 | No Samsum dataset | {
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"According to the following https://huggingface.co/posts/seawolf2357/424129432408590, as of now the dataset seems to be inaccessible.\n\n@IgorKasianenko, would https://huggingface.co/datasets/knkarthick/samsum suffice for your purpose?\n",
"Thanks @SP1029 for the update!\nThat will work for now, using it as repla... | 2025-05-20T09:54:35Z | 2025-07-21T18:34:34Z | 2025-06-18T12:52:23Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
https://huggingface.co/datasets/Samsung/samsum dataset not found error 404
Originated from https://github.com/meta-llama/llama-cookbook/issues/948
### Steps to reproduce the bug
go to website https://huggingface.co/datasets/Samsung/samsum
see the error
also downloading it with python throws
`... | {
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https://api.github.com/repos/huggingface/datasets/issues/7662 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7662/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7662/comments | https://api.github.com/repos/huggingface/datasets/issues/7662/events | https://github.com/huggingface/datasets/issues/7662 | 3,190,805,531 | I_kwDODunzps6-L9Qb | 7,662 | Applying map after transform with multiprocessing will cause OOM | {
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"Hi ! `add_column` loads the full column data in memory:\n\nhttps://github.com/huggingface/datasets/blob/bfa497b1666f4c58bd231c440d8b92f9859f3a58/src/datasets/arrow_dataset.py#L6021-L6021\n\na workaround to add the new column is to include the new data in the map() function instead, which only loads one batch at a ... | 2025-07-01T05:45:57Z | 2025-07-10T06:17:40Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
I have a 30TB dataset. When I perform add_column and cast_column operations on it and then execute a multiprocessing map, it results in an OOM (Out of Memory) error. However, if I skip the add_column and cast_column steps and directly run the map, there is no OOM. After debugging step by step, I f... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7537 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7537/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7537/comments | https://api.github.com/repos/huggingface/datasets/issues/7537/events | https://github.com/huggingface/datasets/issues/7537 | 3,018,792,966 | I_kwDODunzps6z7yAG | 7,537 | `datasets.map(..., num_proc=4)` multi-processing fails | {
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"related: https://github.com/huggingface/datasets/issues/7510\n\nwe need to do more tests to see if latest `dill` is deterministic"
] | 2025-04-25T01:53:47Z | 2025-05-06T13:12:08Z | null | null | NONE | [] | null | null | {
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} | The following code fails in python 3.11+
```python
tokenized_datasets = datasets.map(tokenize_function, batched=True, num_proc=4, remove_columns=["text"])
```
Error log:
```bash
Traceback (most recent call last):
File "/usr/local/lib/python3.12/dist-packages/multiprocess/process.py", line 315, in _bootstrap
self.ru... | null | {
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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... | 2021-10-11T10:05:19Z | 2021-10-11T10:17:44Z | 2021-10-11T10:16:16Z | null | NONE | [] | null | null | {
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} | ## 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/7249 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7249/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7249/comments | https://api.github.com/repos/huggingface/datasets/issues/7249/events | https://github.com/huggingface/datasets/issues/7249 | 2,610,136,636 | I_kwDODunzps6bk4Y8 | 7,249 | How to debugging | {
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} | ### Describe the bug
I wanted to use my own script to handle the processing, and followed the tutorial documentation by rewriting the MyDatasetConfig and MyDatasetBuilder (which contains the _info,_split_generators and _generate_examples methods) classes. Testing with simple data was able to output the results of the ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/630 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/630/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/630/comments | https://api.github.com/repos/huggingface/datasets/issues/630/events | https://github.com/huggingface/datasets/issues/630 | 701,636,350 | MDU6SXNzdWU3MDE2MzYzNTA= | 630 | Text dataset not working with large files | {
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"Seems like it works when setting ```block_size=2100000000``` or something arbitrarily large though.",
"Can you give us some stats on the data files you use as inputs?",
"Basically ~600MB txt files(UTF-8) * 59. \r\ncontents like ```안녕하세요, 이것은 예제로 한번 말해보는 텍스트입니다. 그냥 이렇다고요.<|endoftext|>\\n```\r\n\r\nAlso, it gets... | 2020-09-15T06:02:36Z | 2020-09-25T22:21:43Z | 2020-09-25T22:21:43Z | null | NONE | [] | null | null | {
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} | ```
Traceback (most recent call last):
File "examples/language-modeling/run_language_modeling.py", line 333, in <module>
main()
File "examples/language-modeling/run_language_modeling.py", line 262, in main
get_dataset(data_args, tokenizer=tokenizer, cache_dir=model_args.cache_dir) if training_args.do_t... | {
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https://api.github.com/repos/huggingface/datasets/issues/6488 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6488/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6488/comments | https://api.github.com/repos/huggingface/datasets/issues/6488/events | https://github.com/huggingface/datasets/issues/6488 | 2,035,899,898 | I_kwDODunzps55WV36 | 6,488 | 429 Client Error | {
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"Transferring repos as this is a datasets issue ",
"I'm getting a similar issue even though I've already downloaded the dataset 😅 \r\n\r\n```\r\nhuggingface_hub.utils._errors.HfHubHTTPError: 429 Client Error: Too Many Requests for url: https://huggingface.co/api/datasets/HuggingFaceM4/WebSight\r\n```"
] | 2023-12-11T15:06:01Z | 2024-06-20T05:55:45Z | null | null | NONE | [] | null | null | {
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} | Hello, I was downloading the following dataset and after 20% of data was downloaded, I started getting error 429. It is not resolved since a few days. How should I resolve it?
Thanks
Dataset:
https://huggingface.co/datasets/cerebras/SlimPajama-627B
Error:
`requests.exceptions.HTTPError: 429 Client Error: Too M... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7364 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7364/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7364/comments | https://api.github.com/repos/huggingface/datasets/issues/7364/events | https://github.com/huggingface/datasets/issues/7364 | 2,776,929,268 | I_kwDODunzps6lhJP0 | 7,364 | API endpoints for gated dataset access requests | {
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"Looks like a [similar feature request](https://github.com/huggingface/huggingface_hub/issues/1198) was made to the HF Hub team. Is handling this at the Hub level more appropriate?\r\n\r\n(As an aside, I've gotten the [HTTP-based solution](https://github.com/huggingface/huggingface_hub/issues/1198#issuecomment-1905... | 2025-01-09T06:21:20Z | 2025-01-09T11:17:40Z | 2025-01-09T11:17:20Z | null | NONE | [] | null | null | {
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} | ### Feature request
I would like a programatic way of requesting access to gated datasets. The current solution to gain access forces me to visit a website and physically click an "agreement" button (as per the [documentation](https://huggingface.co/docs/hub/en/datasets-gated#access-gated-datasets-as-a-user)).
An i... | {
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https://api.github.com/repos/huggingface/datasets/issues/2031 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2031/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2031/comments | https://api.github.com/repos/huggingface/datasets/issues/2031/events | https://github.com/huggingface/datasets/issues/2031 | 829,122,778 | MDU6SXNzdWU4MjkxMjI3Nzg= | 2,031 | wikipedia.py generator that extracts XML doesn't release memory | {
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"Hi @miyamonz \r\nThanks for investigating this issue, good job !\r\nIt would be awesome to integrate your fix in the library, could you open a pull request ?",
"OK! I'll send it later."
] | 2021-03-11T12:51:24Z | 2021-03-22T08:33:52Z | 2021-03-22T08:33:52Z | null | CONTRIBUTOR | [] | null | null | {
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I found that the generator function that extracts XML data in wikipedia.py doesn't release memory in the loop.
https://github.com/huggingface/datasets/blob/13a5b7db992ad5cf77895e4c0f76595314390418/datasets/wikipedia/wikip... | {
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https://api.github.com/repos/huggingface/datasets/issues/438 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/438/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/438/comments | https://api.github.com/repos/huggingface/datasets/issues/438/events | https://github.com/huggingface/datasets/issues/438 | 665,865,490 | MDU6SXNzdWU2NjU4NjU0OTA= | 438 | New Datasets: IWSLT15+, ITTB | {
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"Thanks Sam, we now have a very detailed tutorial and template on how to add a new dataset to the library. It typically take 1-2 hours to add one. Do you want to give it a try ?\r\nThe tutorial on writing a new dataset loading script is here: https://huggingface.co/nlp/add_dataset.html\r\nAnd the part on how to sha... | 2020-07-26T21:43:04Z | 2020-08-24T15:12:15Z | null | null | CONTRIBUTOR | [] | null | null | {
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} | **Links:**
[iwslt](https://pytorchnlp.readthedocs.io/en/latest/_modules/torchnlp/datasets/iwslt.html)
Don't know if that link is up to date.
[ittb](http://www.cfilt.iitb.ac.in/iitb_parallel/)
**Motivation**: replicate mbart finetuning results (table below)
![image](https://user-images.githubusercontent.com/60450... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6371 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6371/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6371/comments | https://api.github.com/repos/huggingface/datasets/issues/6371/events | https://github.com/huggingface/datasets/issues/6371 | 1,972,807,579 | I_kwDODunzps51lqeb | 6,371 | `Dataset.from_generator` should not try to download from HF GCS | {
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"Indeed, setting `try_from_gcs` to `False` makes sense for `from_generator`.\r\n\r\nWe plan to deprecate and remove `try_from_hf_gcs` soon, as we can use Hub for file hosting now, but this is a good temporary fix.\r\n"
] | 2023-11-01T17:36:17Z | 2023-11-02T15:52:10Z | 2023-11-02T15:52:10Z | null | CONTRIBUTOR | [] | null | null | {
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When using [`Dataset.from_generator`](https://github.com/huggingface/datasets/blob/c9c1166e1cf81d38534020f9c167b326585339e5/src/datasets/arrow_dataset.py#L1072) with `streaming=False`, the internal logic will call [`download_and_prepare`](https://github.com/huggingface/datasets/blob/main/src/datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/4096 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4096/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4096/comments | https://api.github.com/repos/huggingface/datasets/issues/4096/events | https://github.com/huggingface/datasets/issues/4096 | 1,193,165,229 | I_kwDODunzps5HHkGt | 4,096 | Add support for streaming Zarr stores for hosted datasets | {
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"Hi @jacobbieker, thanks for your request and study of possible alternatives.\r\n\r\nWe are very interested in finding a way to make `datasets` useful to you.\r\n\r\nLooking at the Zarr docs, I saw that among its storage alternatives, there is the ZIP file format: https://zarr.readthedocs.io/en/stable/api/storage.h... | 2022-04-05T13:38:32Z | 2023-12-07T09:01:49Z | 2022-04-21T08:12:58Z | {
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Lots of geospatial data is stored in the Zarr format. This format works well for n-dimensional data and coordinates, and can have good compression. Unfortunately, HF datasets doesn't support streaming in data in Zarr format as far as I can tell. Zarr s... | {
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https://api.github.com/repos/huggingface/datasets/issues/1743 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1743/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1743/comments | https://api.github.com/repos/huggingface/datasets/issues/1743/events | https://github.com/huggingface/datasets/issues/1743 | 787,631,412 | MDU6SXNzdWU3ODc2MzE0MTI= | 1,743 | Issue while Creating Custom Metric | {
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"Currently it's only possible to define the features for the two columns `references` and `predictions`.\r\nThe data for these columns can then be passed to `metric.add_batch` and `metric.compute`.\r\nInstead of defining more columns `text`, `offset_mapping` and `ground` you must include them in either references a... | 2021-01-17T07:01:14Z | 2022-06-01T15:49:34Z | 2022-06-01T15:49:34Z | null | CONTRIBUTOR | [] | null | null | {
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I am trying to create a custom metric for my training as follows, where f1 is my own metric:
```python
def _info(self):
# TODO: Specifies the datasets.MetricInfo object
return datasets.MetricInfo(
# This is the description that will appear on the metrics page.
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https://api.github.com/repos/huggingface/datasets/issues/3207 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3207/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3207/comments | https://api.github.com/repos/huggingface/datasets/issues/3207/events | https://github.com/huggingface/datasets/issues/3207 | 1,044,496,389 | I_kwDODunzps4-QcAF | 3,207 | CI error: Another metric with the same name already exists in Keras 2.7.0 | {
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Release of TensorFlow 2.7.0 contains an incompatibility with Keras. See:
- keras-team/keras#15579
This breaks our CI test suite: https://app.circleci.com/pipelines/github/huggingface/datasets/8493/workflows/055c7ae2-43bc-49b4-9f11-8fc71f35a25c/jobs/52363
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https://api.github.com/repos/huggingface/datasets/issues/6436 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6436/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6436/comments | https://api.github.com/repos/huggingface/datasets/issues/6436/events | https://github.com/huggingface/datasets/issues/6436 | 2,000,844,474 | I_kwDODunzps53Qna6 | 6,436 | TypeError: <lambda>() takes 0 positional arguments but 1 was given | {
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"This looks like a problem with your environment rather than `datasets`.",
"I meet the same problem,\r\nand originally use\r\n```python\r\nlocale.getpreferredencoding = lambda : \"UTF-8\"\r\n```\r\nand change to\r\n```\r\nlocale.getpreferredencoding = lambda x: \"UTF-8\"\r\n```\r\nand it works.",
"> I meet the ... | 2023-11-19T13:10:20Z | 2025-05-05T18:21:21Z | 2023-11-29T16:28:34Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
```
---------------------------------------------------------------------------
TypeError Traceback (most recent call last)
[<ipython-input-35-7b6becee3685>](https://localhost:8080/#) in <cell line: 1>()
----> 1 from datasets import Dataset
9 frames
[/usr/lo... | {
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https://api.github.com/repos/huggingface/datasets/issues/8005 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/8005/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/8005/comments | https://api.github.com/repos/huggingface/datasets/issues/8005/events | https://github.com/huggingface/datasets/issues/8005 | 3,941,908,297 | I_kwDODunzps7q9L9J | 8,005 | Multi-channel audio is automatically cast to mono, num_channels is ignored | {
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"**Workaround**\nDirectly load audio using torchcodec, this is what datasets does under the hood (but doesn't maintain multi-channel)\n\n```python\nimport torchcodec\n\ndecoder = torchcodec.decoders.AudioDecoder(audio[\"bytes\"])\naudio_samples = decoder.get_all_samples()\n\naudio = audio_samples.data.numpy()\nsamp... | 2026-02-14T17:28:03Z | 2026-02-25T15:17:18Z | null | null | NONE | [] | null | null | {
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} | ### Describe the bug
The `num_channels` parameter in `datasets.Audio()` is documented to preserve stereo channels when set to `None` (preserve original) or `2` (explicit stereo), but it currently downmixes all audio to mono regardless of this setting.
### Steps to reproduce the bug
```python
import numpy as np
impor... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5945 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5945/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5945/comments | https://api.github.com/repos/huggingface/datasets/issues/5945/events | https://github.com/huggingface/datasets/issues/5945 | 1,754,084,577 | I_kwDODunzps5ojTTh | 5,945 | Failing to upload dataset to the hub | {
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"Hi ! Feel free to re-run your code later, it will resume automatically where you left",
"Tried many times in the last 2 weeks, problem remains.",
"Alternatively you can save your dataset in parquet files locally and upload them to the hub manually\r\n\r\n```python\r\nfrom tqdm import tqdm\r\nnum_shards = 60\r\... | 2023-06-13T05:46:46Z | 2023-07-24T11:56:40Z | 2023-07-24T11:56:40Z | null | NONE | [] | null | null | {
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} | ### Describe the bug
Trying to upload a dataset of hundreds of thousands of audio samples (the total volume is not very large, 60 gb) to the hub with push_to_hub, it doesn't work.
From time to time one piece of the data (parquet) gets pushed and then I get RemoteDisconnected even though my internet is stable.
Please... | {
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https://api.github.com/repos/huggingface/datasets/issues/1635 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1635/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1635/comments | https://api.github.com/repos/huggingface/datasets/issues/1635/events | https://github.com/huggingface/datasets/issues/1635 | 774,524,492 | MDU6SXNzdWU3NzQ1MjQ0OTI= | 1,635 | Persian Abstractive/Extractive Text Summarization | {
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{
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"default": false,
"description": "Requesting to add a new dataset",
"id": 2067376369,
"name": "dataset request",
"node_id": "MDU6TGFiZWwyMDY3Mzc2MzY5",
"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20request"
}
] | closed | false | [] | null | [] | 2020-12-24T17:47:12Z | 2021-01-04T15:11:04Z | 2021-01-04T15:11:04Z | null | CONTRIBUTOR | [] | null | null | {
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} | Assembling datasets tailored to different tasks and languages is a precious target. This would be great to have this dataset included.
## Adding a Dataset
- **Name:** *pn-summary*
- **Description:** *A well-structured summarization dataset for the Persian language consists of 93,207 records. It is prepared for Abs... | {
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