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Add an argument in `save_to_disk` regarding batch size, which would be passed to `shard` and other methods.
### Motivation
The `Dataset.save_to_disk` method currently calls `shard` without passing a `writer_batch_size` argument, thus implicitly using the default value (1000). This can result in R... | 2023-11-16T10:00:21Z | https://github.com/huggingface/datasets/issues/6422 | {
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Arrow issues when running the example Notebook laptop locally on Mac with M1. Works on Google Collab.
**Notebook**: https://github.com/NielsRogge/Transformers-Tutorials/blob/master/LayoutLMv3/Fine_tune_LayoutLMv3_on_FUNSD_(HuggingFace_Trainer).ipynb
**Error**: `ValueError: Arrow type extensi... | 2023-11-16T20:23:41Z | https://github.com/huggingface/datasets/issues/6417 | {
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- add `if __name__ == "__main__"`
fix https://github.com/huggingface/datasets/issues/6186 | 2024-01-31T00:49:15Z | https://github.com/huggingface/datasets/pull/6415 | {
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**TL;DR:** `hashlib` is not a secure library for cryptography-related stuff. We are only using `hashlib` for non-security-related purposes in `datasets` so it's fine. From Python 3.9 we s... | 2023-11-17T14:23:20Z | https://github.com/huggingface/datasets/pull/6414 | {
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This is a temporary hot fix of our CI build documentation until we stop using `apache-beam`.
Fix #6406. | 2023-11-14T10:05:59Z | https://github.com/huggingface/datasets/pull/6411 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Dear Datasets team,
We just have published a dataset on Huggingface:
https://huggingface.co/ai4privacy
However, when trying to read it using the Dataset library we get an error. As I understand jsonl files are compatible, could you please clarify how we can solve the issue? Please let me ... | 2023-11-16T06:54:36Z | https://github.com/huggingface/datasets/issues/6410 | {
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https://api.github.com/repos/huggingface/datasets/issues/6409/comments | https://api.github.com/repos/huggingface/datasets/issues/6409/timeline | 2023-11-22T16:42:09Z | null | completed | I_kwDODunzps52uukh | closed | [] | null | 6,409 | {
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i'm using datasets.download.download_manager.DownloadManager to download files like "file:///a/b/c.txt", and i disable_progress_bar() to disable bar. there will be an exception as follows:
`AttributeError: 'function' object has no attribute 'close'
Exception ignored in: <function TqdmCallback.... | 2023-11-22T16:42:09Z | https://github.com/huggingface/datasets/issues/6409 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
IterableDataset lost but not keep columns when map function adding columns with names in remove_columns,
Dataset not.
May be related to the code below:
https://github.com/huggingface/datasets/blob/06c3ffb8d068b6307b247164b10f7c7311cefed4/src/datasets/iterable_dataset.py#L750-L756
### Steps t... | 2023-11-16T06:24:10Z | https://github.com/huggingface/datasets/issues/6408 | {
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https://api.github.com/repos/huggingface/datasets/issues/6407/comments | https://api.github.com/repos/huggingface/datasets/issues/6407/timeline | null | null | null | I_kwDODunzps52tBff | open | [] | null | 6,407 | {
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"gists_url": "https://api.g... | Loading the dataset from private S3 bucket gives "TypeError: cannot pickle '_contextvars.Context' object" | https://api.github.com/repos/huggingface/datasets/issues/6407/events | null | https://api.github.com/repos/huggingface/datasets/issues/6407/labels{/name} | 2023-11-13T21:27:43Z | null | false | null | null | 1,991,514,079 | [] | https://api.github.com/repos/huggingface/datasets/issues/6407 | [
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
I'm trying to read the parquet file from the private s3 bucket using the `load_dataset` function, but I receive `TypeError: cannot pickle '_contextvars.Context' object` error
I'm working on a machine with `~/.aws/credentials` file. I can't give credentials and the path to a file in a private bu... | 2023-11-13T21:27:43Z | https://github.com/huggingface/datasets/issues/6407 | {
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```
ImportError: cannot import name 'TypeAliasType' from 'typing_extensions'
``` | 2023-11-14T10:05:36Z | https://github.com/huggingface/datasets/issues/6406 | {
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https://api.github.com/repos/huggingface/datasets/issues/6405/comments | https://api.github.com/repos/huggingface/datasets/issues/6405/timeline | 2023-11-13T20:01:24Z | null | completed | I_kwDODunzps52onbX | closed | [] | null | 6,405 | {
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```
Error code: ConfigNamesError
Exception: TypeError
Message: __init__() missing 1 required positional argument: 'dtype'
Traceback: Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runn... | 2023-11-13T20:01:24Z | https://github.com/huggingface/datasets/issues/6405 | {
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"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",... | Support pyarrow 14.0.1 and fix vulnerability CVE-2023-47248 | https://api.github.com/repos/huggingface/datasets/issues/6404/events | null | https://api.github.com/repos/huggingface/datasets/issues/6404/labels{/name} | 2023-11-13T09:15:39Z | null | false | null | {
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Fix #6396. | 2023-11-14T10:29:48Z | https://github.com/huggingface/datasets/pull/6404 | {
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https://api.github.com/repos/huggingface/datasets/issues/6403/comments | https://api.github.com/repos/huggingface/datasets/issues/6403/timeline | 2023-11-16T05:04:21Z | null | completed | I_kwDODunzps52nn-B | closed | [] | null | 6,403 | {
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"gist... | Cannot import datasets on google colab (python 3.10.12) | https://api.github.com/repos/huggingface/datasets/issues/6403/events | null | https://api.github.com/repos/huggingface/datasets/issues/6403/labels{/name} | 2023-11-13T08:14:43Z | null | false | null | null | 1,990,098,817 | [] | https://api.github.com/repos/huggingface/datasets/issues/6403 | [
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
I'm trying A full colab demo notebook of zero-shot-distillation from https://github.com/huggingface/transformers/tree/main/examples/research_projects/zero-shot-distillation but i got this type of error when importing datasets on my google colab (python version is 3.10.12)
![image](https://gith... | 2023-11-16T05:04:22Z | https://github.com/huggingface/datasets/issues/6403 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | Ensure PyTorch images are converted to (C, H, W) instead of (H, W, C). See #6394 for motivation. | 2023-11-11T19:41:53Z | https://github.com/huggingface/datasets/pull/6402 | {
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https://api.github.com/repos/huggingface/datasets/issues/6401/comments | https://api.github.com/repos/huggingface/datasets/issues/6401/timeline | 2023-11-20T17:45:20Z | null | completed | I_kwDODunzps52iU6t | closed | [] | null | 6,401 | {
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"gists_url"... | dataset = load_dataset("Hyperspace-Technologies/scp-wiki-text") not working | https://api.github.com/repos/huggingface/datasets/issues/6401/events | null | https://api.github.com/repos/huggingface/datasets/issues/6401/labels{/name} | 2023-11-11T04:09:07Z | null | false | null | null | 1,988,710,061 | [] | https://api.github.com/repos/huggingface/datasets/issues/6401 | [
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```
(datasets) mruserbox@guru-X99:/media/10TB_HHD/_LLM_DATASETS$ python dataset.py
Downloading readme: 100%|███████████████████████████████████| 360/360 [00:00<00:00, 2.16MB/s]
Downloading data: 100%|█████████████████████████████████| 65.1M/65.1M [00:19<00:00, 3.38MB/s]
Downloading data: 100... | 2023-11-20T17:45:20Z | https://github.com/huggingface/datasets/issues/6401 | {
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Is there a way to disable execution of dataset loading script using `load_dataset`? This is a security vulnerability that could lead to arbitrary code execution.
Any suggested workarounds are welcome as well.
### Motivation
This is a security vulnerability that could lead to arbitrary code e... | 2024-01-02T18:18:09Z | https://github.com/huggingface/datasets/issues/6400 | {
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https://api.github.com/repos/huggingface/datasets/issues/6399/comments | https://api.github.com/repos/huggingface/datasets/issues/6399/timeline | null | null | null | I_kwDODunzps52hBh3 | open | [] | null | 6,399 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Hi, I am preprocessing a large custom dataset with numpy arrays. I am running into this TypeError during writing in a dataset.map() function. I've tried decreasing writer batch size, but this error persists. This error does not occur for smaller datasets.
Thank you!
### Steps to repro... | 2023-11-10T20:48:46Z | https://github.com/huggingface/datasets/issues/6399 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | See https://github.com/huggingface/datasets-server/issues/2082#issuecomment-1805716557
We have the same error for:
- https://huggingface.co/datasets/severo/a_dataset_that_does_not_exist: a dataset that does not exist
- https://huggingface.co/datasets/severo/test_files_without_extension: a dataset with files withou... | 2023-11-22T15:12:34Z | https://github.com/huggingface/datasets/issues/6397 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | See https://github.com/huggingface/datasets-server/pull/2089 for reference
```
from datasets import (Array2D, Dataset, Features)
feature_type = Array2D(shape=(2, 2), dtype="float32")
content = [[0.0, 0.0], [0.0, 0.0]]
features = Features({"col": feature_type})
dataset = Dataset.from_dict({"col": [content]}, fea... | 2023-11-14T10:23:30Z | https://github.com/huggingface/datasets/issues/6396 | {
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"",
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Feature request
Allow setting file lock type, maybe from an environment variable
Currently, it only depends on whether fnctl is available:
https://github.com/huggingface/datasets/blob/12ebe695b4748c5a26e08b44ed51955f74f5801d/src/datasets/utils/filelock.py#L463-L470C16
### Motivation
In my environment... | 2023-11-23T18:50:00Z | https://github.com/huggingface/datasets/issues/6395 | {
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"",
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Using .set_format("torch") leads to images having shape (H, W, C), the same as in numpy.
However, pytorch normally uses (C, H, W) format.
Maybe I'm missing something but this makes the format a lot less useful as I then have to permute it anyways.
If not using the format it is possible to ... | 2024-03-10T18:41:47Z | https://github.com/huggingface/datasets/issues/6394 | {
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"",
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
A call to `.filter` occasionally hangs (after the filter is complete, according to tqdm)
There is a trace produced
```
Exception ignored in: <function Dataset.__del__ at 0x7efb48130c10>
Traceback (most recent call last):
File "/usr/lib/python3/dist-packages/datasets/arrow_dataset.py", l... | 2024-03-05T16:03:12Z | https://github.com/huggingface/datasets/issues/6393 | {
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"",
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Like to #6172, `push_to_hub` will crash if Hub resets the connection and raise the following error:
```
Pushing dataset shards to the dataset hub: 32%|███▏ | 54/171 [06:38<14:23, 7.38s/it]
Traceback (most recent call last):
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/... | 2023-12-20T07:28:24Z | https://github.com/huggingface/datasets/issues/6392 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | Allow `load_dataset` to support the Webdataset format.
It allows users to download/stream data from local files or from the Hugging Face Hub.
Moreover it will enable the Dataset Viewer for Webdataset datasets on HF.
## Implementation details
- I added a new Webdataset builder
- dataset with TAR files are n... | 2023-11-28T16:33:33Z | https://github.com/huggingface/datasets/pull/6391 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | getting this error:
```
/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/datasets/table.py:1387: FutureWarning: promote has been superseded by mode='default'.
return cls._concat_blocks(pa_tables_to_concat_vertically, axis=0)
```
Since datasets supports arrow greater than 8.0.0, we need to handle both ... | 2023-11-21T02:10:24Z | https://github.com/huggingface/datasets/pull/6390 | {
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"",
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
When saving out some Audio() data.
The data is audio recordings with associated 'sentences'.
(They use the audio 'bytes' approach because they're clips within audio files).
Code is below the traceback (I can't upload the voice audio/text (it's not even me)).
```
Traceback (most recent call ... | 2023-11-24T09:14:13Z | https://github.com/huggingface/datasets/issues/6389 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Feature request
I am newer to huggingface, after i look up `datasets` docs, I can't find how to create the dataset contains 3d medical image (ends with '.mhd', '.dcm', '.nii')
### Motivation
help us to upload 3d medical dataset to huggingface!
### Your contribution
I'll submit a PR if I find a way to... | 2023-11-07T11:28:53Z | https://github.com/huggingface/datasets/issues/6388 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | Hi @mariosasko @lhoestq @katielink
Thanks for your contribution and hard work.
### Feature request
First, I download a dataset as normal by:
```
from datasets import load_dataset
dataset = load_dataset('username/data_name', cache_dir='data')
```
The dataset format in `data` directory will be:
```
... | 2023-11-16T18:07:01Z | https://github.com/huggingface/datasets/issues/6387 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Hi! I very recently noticed that my training time is dominated by batch formatting. Using Lightning's profilers, I located the bottleneck within `datasets.formatting.formatting` and then narrowed it down with `line-profiler`. It turns out that almost all of the overhead is due to creating new inst... | 2023-11-06T23:56:12Z | https://github.com/huggingface/datasets/issues/6386 | {
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"gists_url": "https://... | Get an error when i try to concatenate the squad dataset with my own dataset | https://api.github.com/repos/huggingface/datasets/issues/6385/events | null | https://api.github.com/repos/huggingface/datasets/issues/6385/labels{/name} | 2023-11-06T14:29:22Z | null | false | null | null | 1,979,308,338 | [] | https://api.github.com/repos/huggingface/datasets/issues/6385 | [
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Hello,
I'm new here and I need to concatenate the squad dataset with my own dataset i created. I find the following error when i try to do it: Traceback (most recent call last):
Cell In[9], line 1
concatenated_dataset = concatenate_datasets([train_dataset, dataset1])
File ~\ana... | 2023-11-06T16:50:45Z | https://github.com/huggingface/datasets/issues/6385 | {
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| 2023-11-19T05:42:06Z | https://github.com/huggingface/datasets/issues/6384 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
What could be causing this?
```
$ python3
Python 3.8.13 (default, Mar 28 2022, 11:38:47)
[GCC 7.5.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from datasets import load_dataset
>>> load_dataset("imagenet-1k")
Downloading builder ... | 2023-11-06T06:02:39Z | https://github.com/huggingface/datasets/issues/6383 | {
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### Name
**CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison**
### Paper
https://arxiv.org/abs/1901.07031
### Data
https://stanfordaimi.azurewebsites.net/datasets/8cbd9ed4-2eb9-4565-affc-111cf4f7ebe2
### Motivation
CheXpert is one of the fund... | 2024-01-10T11:53:52Z | https://github.com/huggingface/datasets/issues/6382 | {
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**Description:**
This dataset, named "medical data," is a collection of text data from various sources, carefully curated and cleaned for use in natural language processing (NLP) tasks. It consists of a diverse range of text, including articles, books, and online content, covering topics from scienc... | 2023-11-08T14:37:46Z | https://github.com/huggingface/datasets/pull/6381 | {
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The underlying issue is also being discussed in https://github.com/huggingface/datasets/issues/5594.
Issue Symptoms & Behaviour:
- Download of a large archive file during dataset down... | 2023-11-02T17:31:19Z | https://github.com/huggingface/datasets/pull/6380 | {
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https://api.github.com/repos/huggingface/datasets/issues/6379/comments | https://api.github.com/repos/huggingface/datasets/issues/6379/timeline | 2023-11-02T17:08:07Z | null | null | PR_kwDODunzps5edDZL | closed | [] | false | 6,379 | {
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Additionally, fix "unreachable" checks in `encode_np_array`. | 2023-11-06T17:53:27Z | https://github.com/huggingface/datasets/pull/6379 | {
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Fix #6377 and fix #6374 (root cause).
This fix is analog to a previous one:
- #6175 | 2023-11-02T15:24:28Z | https://github.com/huggingface/datasets/pull/6378 | {
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- #6374
and revert:
- #6375 | 2023-11-02T15:15:45Z | https://github.com/huggingface/datasets/issues/6377 | {
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Pushing a dataset with n + m features to a repo which was deleted, but contained n features, will fail.
### Steps to reproduce the bug
1. Create a dataset with n features per row
2. `dataset.push_to_hub(YOUR_PATH, SPLIT, token=TOKEN)`
3. Go on the hub, delete the repo at `YOUR_PATH`
4. Update... | 2023-12-04T16:53:34Z | https://github.com/huggingface/datasets/issues/6376 | {
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Hot fix #6374. | 2023-11-02T10:22:33Z | https://github.com/huggingface/datasets/pull/6375 | {
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```
FAILED tests/test_table.py::test_cast_sliced_fixed_size_array_to_features - TypeError: Couldn't cast array of type
fixed_size_list<item: int32>[3]
to
Sequence(feature=Value(dtype='int64', id=None), length=3, id=None)
``` | 2023-11-02T10:11:20Z | https://github.com/huggingface/datasets/issues/6374 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | ### Describe the bug
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... | 2023-11-02T15:52:10Z | https://github.com/huggingface/datasets/issues/6371 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
The model was built to do fine tunning on BERT model for relation extraction.
trainer.train() returns an error message ```TypeError: vars() argument must have __dict__ attribute``` when it has `train_dataset` generated from `torch.utils.data.TensorDataset`
However, in the document, the req... | 2023-11-29T16:31:08Z | https://github.com/huggingface/datasets/issues/6370 | {
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When I was training model on Multiple GPUs by DDP, the dataset is tokenized multiple times after main process.
![1698820501568](https://github.com/huggingface/datasets/assets/142857... | 2023-11-30T16:04:46Z | https://github.com/huggingface/datasets/issues/6369 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
When using the with_format() function on a dataset containing images, even if the image column is not part of the columns provided in the function, its type will be changed to bytes.
Here is a minimal reproduction of the bug:
https://colab.research.google.com/drive/1hyaOspgyhB41oiR1-tXE3k_gJCdJU... | 2023-11-02T14:21:17Z | https://github.com/huggingface/datasets/issues/6366 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
It seems that when saving a data frame with a categorical column inside the size can grow exponentially.
This seems to happen because when we save the categorical data to parquet, we are saving the data + all the categories existing in the original data. This happens even when the categories ar... | 2023-10-31T10:49:17Z | https://github.com/huggingface/datasets/issues/6365 | {
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I am trying to load a local csv dataset(similar to explodinggradients_fiqa) using load_dataset. When I try to pass features, I am facing the mentioned issue.
CSV Data sample(golden_dataset.csv):
Question | Context | answer | groundtruth
"what is abc?"... | 2023-10-31T19:21:23Z | https://github.com/huggingface/datasets/issues/6364 | {
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https://api.github.com/repos/huggingface/datasets/issues/6363/comments | https://api.github.com/repos/huggingface/datasets/issues/6363/timeline | 2023-11-22T00:29:21Z | null | completed | I_kwDODunzps51WuWN | closed | [] | null | 6,363 | {
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"gists_url": "... | dataset.transform() hangs indefinitely while finetuning the stable diffusion XL | https://api.github.com/repos/huggingface/datasets/issues/6363/events | null | https://api.github.com/repos/huggingface/datasets/issues/6363/labels{/name} | 2023-10-30T17:34:05Z | null | false | null | null | 1,968,891,277 | [] | https://api.github.com/repos/huggingface/datasets/issues/6363 | [
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Multi-GPU fine-tuning the stable diffusion X by following https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/README_sdxl.md hangs indefinitely.
### Steps to reproduce the bug
accelerate launch train_text_to_image_sdxl.py --pretrained_model_name_or_path=$MODEL_NAME --... | 2023-11-22T00:29:21Z | https://github.com/huggingface/datasets/issues/6363 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | ### Feature request
Allow for `Sequence` of `Image` (or `Audio`) to be embedded inside the shards.
### Motivation
Currently, thanks to #3685, when `embed_external_files` is set to True (which is the default) in `push_to_hub`, features of type `Image` and `Audio` are embedded inside the arrow/parquet shards, instead ... | 2024-02-06T19:24:20Z | https://github.com/huggingface/datasets/issues/6360 | {
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"",
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
I have an image dataset with 300k images, the size of image is 768 * 768.
When I run `dataset = load_dataset("imagefolder", data_dir="/path/to/img_dir", split='train')` in second time, it takes 50 minutes to finish "Resolving data files" part, what's going on in this part?
From my understa... | 2024-01-24T15:02:06Z | https://github.com/huggingface/datasets/issues/6359 | {
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"",
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Creating a datasets cache and mounting this into, for example, a docker container, renders the data unreadable due to absolute paths written into the cache.
### Steps to reproduce the bug
1. Create a datasets cache by downloading some data
2. Mount the dataset folder into a docker contain... | 2023-11-28T14:47:12Z | https://github.com/huggingface/datasets/issues/6358 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | ### Feature request
Allow specifying [a multiprocessing context](https://docs.python.org/3/library/multiprocessing.html#contexts-and-start-methods) to functions that support `num_proc` or use multiprocessing pools. For example, the following could be done:
```python
dataset = dataset.map(_func, num_proc=2, mp_cont... | 2023-10-27T02:31:16Z | https://github.com/huggingface/datasets/issues/6357 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | ... to make debugging issues easier, as `fsspec`'s releases often introduce breaking changes. | 2023-10-26T18:42:56Z | https://github.com/huggingface/datasets/pull/6356 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | Let's have more hub-centric documentation in the datasets docs
Tutorials
- Add “Configure the dataset viewer” page
- Change order:
- Overview
- and more focused on the Hub rather than the library
- Then all the hub related things
- and mention how to read/write with other tools like pandas
- The... | 2024-01-11T06:34:16Z | https://github.com/huggingface/datasets/pull/6355 | {
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"gists_url": "https://api.... | `IterableDataset.from_spark` does not support multiple workers in pytorch `Dataloader` | https://api.github.com/repos/huggingface/datasets/issues/6354/events | null | https://api.github.com/repos/huggingface/datasets/issues/6354/labels{/name} | 2023-10-26T12:43:36Z | null | false | null | null | 1,963,483,324 | [] | https://api.github.com/repos/huggingface/datasets/issues/6354 | [
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Looks like `IterableDataset.from_spark` does not support multiple workers in pytorch `Dataloader` if I'm not missing anything.
Also, returns not consistent error messages, which probably depend on the nondeterministic order of worker executions
Some exampes I've encountered:
```
File "/l... | 2023-11-14T18:46:03Z | https://github.com/huggingface/datasets/issues/6354 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
datasets version： 2.10.1
I `load_dataset `and `save_to_disk` sucessfully on windows10( **and I `load_from_disk(/LLM/data/wiki)` succcesfully on windows10**), and I copy the dataset `/LLM/data/wiki`
into a ubuntu system, but when I `load_from_disk(/LLM/data/wiki)` on ubuntu, something weird ha... | 2024-02-02T15:23:14Z | https://github.com/huggingface/datasets/issues/6353 | {
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"g... | Error loading wikitext data raise NotImplementedError(f"Loading a dataset cached in a {type(self._fs).__name__} is not supported.") | https://api.github.com/repos/huggingface/datasets/issues/6352/events | null | https://api.github.com/repos/huggingface/datasets/issues/6352/labels{/name} | 2023-10-25T21:55:31Z | null | false | null | null | 1,962,296,057 | [] | https://api.github.com/repos/huggingface/datasets/issues/6352 | [
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] | https://api.github.com/repos/huggingface/datasets | NONE | I was trying to load the wiki dataset, but i got this error
traindata = load_dataset('wikitext', 'wikitext-2-raw-v1', split='train')
File "/home/aelkordy/.conda/envs/prune_llm/lib/python3.9/site-packages/datasets/load.py", line 1804, in load_dataset
ds = builder_instance.as_dataset(split=split, verific... | 2024-03-07T10:48:36Z | https://github.com/huggingface/datasets/issues/6352 | {
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"gists_url"... | Fix use_dataset.mdx | https://api.github.com/repos/huggingface/datasets/issues/6351/events | null | https://api.github.com/repos/huggingface/datasets/issues/6351/labels{/name} | 2023-10-25T18:21:08Z | null | false | null | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
1. dataset = load_dataset("togethercomputer/RedPajama-Data-1T-Sample", cache_dir=training_args.cache_dir, split='train[:1%]')
2. dataset = load_dataset("togethercomputer/RedPajama-Data-1T-Sample", cache_dir=training_args.cache_dir)
The only difference I would expect these cal... | 2023-10-26T21:03:06Z | https://github.com/huggingface/datasets/issues/6350 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
I did `from datasets import load_dataset, load_metric` and then `ds = load_dataset("imdb")` and it gave me the error:
ExpectedMoreDownloadedFiles: {'http://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz'}
I tried doing `ds = load_dataset("imdb",download_mode="force_redownload")` as we... | 2024-01-26T15:31:36Z | https://github.com/huggingface/datasets/issues/6349 | {
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See https://github.com/huggingface/datasets-server/issues/2010 | 2023-10-25T12:13:07Z | https://github.com/huggingface/datasets/issues/6348 | {
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On [this](https://huggingface.co/docs/datasets/create_dataset) page, the example code for loading in images and audio is incorrect.
Currently, examples are:
``` python
from datasets import ImageFolder
dataset = load_dataset("imagefolder", data_dir="/path/to/pokemon")
```
and
``` python... | 2023-10-25T13:05:21Z | https://github.com/huggingface/datasets/issues/6347 | {
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```
def tokenize(batch, tokenizer, context_length):
outputs = tokenizer(
batch["text"],
truncation=True,
max_length=context_length,
r... | 2023-10-25T17:39:17Z | https://github.com/huggingface/datasets/pull/6346 | {
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Since the squad structure is widely used, I think it could be beneficial to support it using a YAML parameter.
could you implement automatic data loading of squad-like data using squad JSON format, to read it from JSON files and view it in the correct squad structure.
The dataset structure should... | 2023-10-23T17:55:37Z | https://github.com/huggingface/datasets/issues/6345 | {
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- #6331
- #6210
- #5731
- #5617
- #5447
I propose that we explicitly test, introduce fixes and support each new `fsspec` version release.
... | 2023-10-23T12:13:20Z | https://github.com/huggingface/datasets/pull/6337 | {
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`fsspec.implementations.LocalFilesystem.protocol`
was changed from `str` "file" to `tuple[str,...]` ("file", "local") in `fsspec>=2023.10.0`
This commit supports both styles. | 2024-02-07T12:41:15Z | https://github.com/huggingface/datasets/pull/6334 | {
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- #6331
Related to issue:
- #6330
As @ZachNagengast suggested, the issue might be related to:
- https://github.com/fsspec/filesystem_spec/pull/1381 | 2024-02-07T12:39:58Z | https://github.com/huggingface/datasets/issues/6333 | {
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See: https://github.com/huggingface/datasets/actions/runs/6610930650/job/17953825724?pr=6331
```
/tmp/pip-build-env-a51hls20/overlay/lib/python3.8/site-packages/setuptools/config/setupcfg.py:293: _DeprecatedConfig: Deprecated config in `setup.cfg`
!!
... | 2023-11-07T08:23:10Z | https://github.com/huggingface/datasets/pull/6332 | {
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Hot fix #6330.
See: https://github.com/huggingface/datasets/actions/runs/6610904287/job/17953774987
```
...
ERROR tests/test_iterable_dataset.py::test_iterable_dataset_from_file - NotImplementedError: Loading a dataset cached in a LocalFileS... | 2023-10-23T09:26:42Z | https://github.com/huggingface/datasets/pull/6331 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | ### Describe the bug
Loading a streaming dataset with this version of fsspec fails with the following error:
`NotImplementedError: Loading a streaming dataset cached in a LocalFileSystem is not supported yet.`
I suspect the issue is with this PR
https://github.com/fsspec/filesystem_spec/pull/1381
### Steps ... | 2023-11-07T10:02:14Z | https://github.com/huggingface/datasets/issues/6330 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Hi, I'm trying to load the dataset `togethercomputer/RedPajama-Data-1T-Sample` with `load_dataset` in streaming mode, i.e., `streaming=True`, but `FileNotFoundError` occurs.
### Steps to reproduce the bug
I've downloaded the dataset and save it to the cache dir in advance. My hope is loadi... | 2023-10-23T18:50:07Z | https://github.com/huggingface/datasets/issues/6327 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
I have a list of dictionaries with valid/JSON-serializable values.
One key is the denominator for a paragraph. In 99.9% of cases its a number, but there are some occurences of '1a', '2b' and so on.
If trying to convert this list to a dataset with `Dataset.from_list()`, I always get
`ArrowI... | 2023-10-23T20:52:57Z | https://github.com/huggingface/datasets/issues/6324 | {
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"gists_url": "https://ap... | Loading dataset from large GCS bucket very slow since 2.14 | https://api.github.com/repos/huggingface/datasets/issues/6323/events | null | https://api.github.com/repos/huggingface/datasets/issues/6323/labels{/name} | 2023-10-20T12:59:55Z | null | false | null | null | 1,954,245,980 | [] | https://api.github.com/repos/huggingface/datasets/issues/6323 | [
"",
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Since updating to >2.14 we have very slow access to our parquet files on GCS when loading a dataset (>30 min vs 3s). Our GCS bucket has many objects and resolving globs is very slow. I could track down the problem to this change:
https://github.com/huggingface/datasets/blame/bade7af74437347a76083... | 2023-10-20T12:59:55Z | https://github.com/huggingface/datasets/issues/6323 | {
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https://api.github.com/repos/huggingface/datasets/issues/6322/comments | https://api.github.com/repos/huggingface/datasets/issues/6322/timeline | 2023-10-23T14:31:21Z | null | null | PR_kwDODunzps5dT5vG | closed | [] | false | 6,322 | {
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"gi... | Fix regex `get_data_files` formatting for base paths | https://api.github.com/repos/huggingface/datasets/issues/6322/events | null | https://api.github.com/repos/huggingface/datasets/issues/6322/labels{/name} | 2023-10-19T19:45:10Z | null | false | null | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | With this pr https://github.com/huggingface/datasets/pull/6309, it is formatting the entire base path into regex, which results in the undesired formatting error `doesn't match the pattern` because of the line in `glob_pattern_to_regex`: `.replace("//", "/")`:
- Input: `hf://datasets/...`
- Output: `hf:/datasets/...`... | 2023-10-23T14:40:45Z | https://github.com/huggingface/datasets/pull/6322 | {
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https://api.github.com/repos/huggingface/datasets/issues/6320/comments | https://api.github.com/repos/huggingface/datasets/issues/6320/timeline | 2023-11-30T16:21:15Z | null | completed | I_kwDODunzps50YpdM | closed | [] | null | 6,320 | {
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"gists_url": "https://a... | Dataset slice splits can't load training and validation at the same time | https://api.github.com/repos/huggingface/datasets/issues/6320/events | null | https://api.github.com/repos/huggingface/datasets/issues/6320/labels{/name} | 2023-10-19T16:09:22Z | null | false | null | null | 1,952,618,316 | [] | https://api.github.com/repos/huggingface/datasets/issues/6320 | [
"",
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
According to the [documentation](https://huggingface.co/docs/datasets/v2.14.5/loading#slice-splits) is should be possible to run the following command:
`train_test_ds = datasets.load_dataset("bookcorpus", split="train+test")`
to load the train and test sets from the dataset.
However ex... | 2023-11-30T16:21:15Z | https://github.com/huggingface/datasets/issues/6320 | {
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