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https://api.github.com/repos/huggingface/datasets/issues/6260 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6260/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6260/comments | https://api.github.com/repos/huggingface/datasets/issues/6260/events | https://github.com/huggingface/datasets/issues/6260 | 1,912,593,466 | I_kwDODunzps5x_9w6 | 6,260 | REUSE_DATASET_IF_EXISTS don't work | {
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I use the following code to download natural_question dataset. Even though I have completely download it, the next time I run this code, the new download procedure will start and cover the original /data/lxy/NQ
config=datasets.DownloadConfig(resume_download=True,max_retries=100,cache_dir=r'/da... | {
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https://api.github.com/repos/huggingface/datasets/issues/6259 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6259/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6259/comments | https://api.github.com/repos/huggingface/datasets/issues/6259/events | https://github.com/huggingface/datasets/issues/6259 | 1,911,965,758 | I_kwDODunzps5x9kg- | 6,259 | Duplicated Rows When Loading Parquet Files from Root Directory with Subdirectories | {
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When parquet files are saved in "train" and "val" subdirectories under a root directory, and datasets are then loaded using `load_dataset("parquet", data_dir="root_directory")`, the resulting dataset has duplicated rows for both the training and validation sets.
### Steps to reproduce the bug... | {
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https://api.github.com/repos/huggingface/datasets/issues/6258 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6258/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6258/comments | https://api.github.com/repos/huggingface/datasets/issues/6258/events | https://github.com/huggingface/datasets/pull/6258 | 1,911,445,373 | PR_kwDODunzps5bHxHl | 6,258 | [DOCS] Fix typo: Elasticsearch | {
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https://api.github.com/repos/huggingface/datasets/issues/6257 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6257/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6257/comments | https://api.github.com/repos/huggingface/datasets/issues/6257/events | https://github.com/huggingface/datasets/issues/6257 | 1,910,741,044 | I_kwDODunzps5x45g0 | 6,257 | HfHubHTTPError - exceeded our hourly quotas for action: commit | {
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I try to upload a very large dataset of images, and get the following error:
```
File /fsx-multigen/yuvalkirstain/miniconda/envs/pickapic/lib/python3.10/site-packages/huggingface_hub/hf_api.py:2712, in HfApi.create_commit(self, repo_id, operations, commit_message, commit_description, token, repo... | {
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https://api.github.com/repos/huggingface/datasets/issues/6256 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6256/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6256/comments | https://api.github.com/repos/huggingface/datasets/issues/6256/events | https://github.com/huggingface/datasets/issues/6256 | 1,910,275,199 | I_kwDODunzps5x3Hx_ | 6,256 | load_dataset() function's cache_dir does not seems to work | {
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datasets version: 2.14.5
when trying to run the following command
trec = load_dataset('trec', split='train[:1000]', cache_dir='/path/to/my/dir')
I keep getting error saying the command does not have permission to the default cache directory on my macbook pro machine.
It seems the cache_... | {
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https://api.github.com/repos/huggingface/datasets/issues/6255 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6255/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6255/comments | https://api.github.com/repos/huggingface/datasets/issues/6255/events | https://github.com/huggingface/datasets/pull/6255 | 1,909,842,977 | PR_kwDODunzps5bCioS | 6,255 | Parallelize builder configs creation | {
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} | For datasets with lots of configs defined in YAML
E.g. `load_dataset("uonlp/CulturaX", "fr", revision="refs/pr/6")` from >1min to 15sec | {
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https://api.github.com/repos/huggingface/datasets/issues/6254 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6254/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6254/comments | https://api.github.com/repos/huggingface/datasets/issues/6254/events | https://github.com/huggingface/datasets/issues/6254 | 1,909,672,104 | I_kwDODunzps5x00io | 6,254 | Dataset.from_generator() cost much more time in vscode debugging mode then running mode | {
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Hey there,
I’m using Dataset.from_generator() to convert a torch_dataset to the Huggingface Dataset.
However, when I debug my code on vscode, I find that it runs really slow on Dataset.from_generator() which may even 20 times longer then run the script on terminal.
### Steps to reproduce the bu... | {
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https://api.github.com/repos/huggingface/datasets/issues/6253 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6253/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6253/comments | https://api.github.com/repos/huggingface/datasets/issues/6253/events | https://github.com/huggingface/datasets/pull/6253 | 1,906,618,910 | PR_kwDODunzps5a3s__ | 6,253 | Check builder cls default config name in inspect | {
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"merged_at": "2023-09-21T14:08... | Fix https://github.com/huggingface/datasets-server/issues/1812
this was causing this issue:
```ipython
In [1]: from datasets import *
In [2]: inspect.get_dataset_config_names("aakanksha/udpos")
Out[2]: ['default']
In [3]: load_dataset_builder("aakanksha/udpos").config.name
Out[3]: 'en'
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/6252 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6252/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6252/comments | https://api.github.com/repos/huggingface/datasets/issues/6252/events | https://github.com/huggingface/datasets/issues/6252 | 1,906,375,378 | I_kwDODunzps5xoPrS | 6,252 | exif_transpose not done to Image (PIL problem) | {
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"title": "3... | 2 | 2023-09-21T08:11:46 | 2024-03-19T15:29:43 | 2024-03-19T15:29:43 | null | NONE | [] | null | null | null | null | ### Feature request
I noticed that some of my images loaded using PIL have some metadata related to exif that can rotate them when loading.
Since the dataset.features.Image uses PIL for loading, the loaded image may be rotated (width and height will be inverted) thus for tasks as object detection and layoutLM this ca... | {
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See: https://huggingface.co/datasets/uonlp/CulturaX/discussions/2
CC: @AndreaFrancis | {
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https://api.github.com/repos/huggingface/datasets/issues/6247 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6247/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6247/comments | https://api.github.com/repos/huggingface/datasets/issues/6247/events | https://github.com/huggingface/datasets/pull/6247 | 1,901,390,945 | PR_kwDODunzps5amAQ1 | 6,247 | Update create_dataset.mdx | {
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``` from datasets import AudioFolder ``` and ```from datasets import ImageFolder``` to ```from datasets import load_dataset```
```
cannot import name 'AudioFolder' from 'datasets' (/home/eswardivi/miniconda3/envs/Hugformers/lib/python3.10/site... | {
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```
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
[<ipython-input-9-bd197b36b6a0>](https://localhost:8080/#) in <cell line: 1>()
----> 1 dataset['train']['/workspace/data']
3 frames
[/... | {
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https://api.github.com/repos/huggingface/datasets/issues/6243 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6243/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6243/comments | https://api.github.com/repos/huggingface/datasets/issues/6243/events | https://github.com/huggingface/datasets/pull/6243 | 1,898,532,784 | PR_kwDODunzps5aclIy | 6,243 | Fix cast from fixed size list to variable size list | {
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https://api.github.com/repos/huggingface/datasets/issues/6242 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6242/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6242/comments | https://api.github.com/repos/huggingface/datasets/issues/6242/events | https://github.com/huggingface/datasets/issues/6242 | 1,896,899,123 | I_kwDODunzps5xEGIz | 6,242 | Data alteration when loading dataset with unspecified inner sequence length | {
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When a dataset saved with a specified inner sequence length is loaded without specifying that length, the original data is altered and becomes inconsistent.
### Steps to reproduce the bug
```python
from datasets import Dataset, Features, Value, Sequence, load_dataset
# Repository ID
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I am trying to get CLIP to fine-tuning with my code.
When I tried to run it on multiple GPUs using accelerate, I encountered the following phenomenon.
- Validation dataloader stuck in 2nd epoch only on multi-GPU
Specifically, when the "for inputs in valid_loader:" process is finished, it does... | {
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https://api.github.com/repos/huggingface/datasets/issues/6239 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6239/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6239/comments | https://api.github.com/repos/huggingface/datasets/issues/6239/events | https://github.com/huggingface/datasets/issues/6239 | 1,895,349,382 | I_kwDODunzps5w-LyG | 6,239 | Load local audio data doesn't work | {
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I get a RuntimeError from the following code:
```python
audio_dataset = Dataset.from_dict({"audio": ["/kaggle/input/bengaliai-speech/train_mp3s/000005f3362c.mp3"]}).cast_column("audio", Audio())
audio_dataset[0]
```
### Traceback
<details>
```python
RuntimeError ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6238 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6238/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6238/comments | https://api.github.com/repos/huggingface/datasets/issues/6238/events | https://github.com/huggingface/datasets/issues/6238 | 1,895,207,828 | I_kwDODunzps5w9pOU | 6,238 | `dataset.filter` ALWAYS removes the first item from the dataset when using batched=True | {
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If you call batched=True when calling `filter`, the first item is _always_ filtered out, regardless of the filter condition.
### Steps to reproduce the bug
Here's a minimal example:
```python
def filter_batch_always_true(batch, indices):
print("First index being passed into this filte... | {
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https://api.github.com/repos/huggingface/datasets/issues/6237 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6237/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6237/comments | https://api.github.com/repos/huggingface/datasets/issues/6237/events | https://github.com/huggingface/datasets/issues/6237 | 1,893,822,321 | I_kwDODunzps5w4W9x | 6,237 | Tokenization with multiple workers is too slow | {
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"followers_url": "https://api.github.com/users/... | [] | closed | false | [] | null | 1 | 2023-09-13T06:18:34 | 2023-09-19T21:54:58 | 2023-09-19T21:54:58 | null | NONE | [] | null | null | null | null | I am trying to tokenize a few million documents with multiple workers but the tokenization process is taking forever.
Code snippet:
```
raw_datasets.map(
encode_function,
batched=False,
num_proc=args.preprocessing_num_workers,
load_from_cache_file=not args.ove... | {
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https://api.github.com/repos/huggingface/datasets/issues/6236 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6236/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6236/comments | https://api.github.com/repos/huggingface/datasets/issues/6236/events | https://github.com/huggingface/datasets/issues/6236 | 1,893,648,480 | I_kwDODunzps5w3shg | 6,236 | Support buffer shuffle for to_tf_dataset | {
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... | open | false | [] | null | 3 | 2023-09-13T03:19:44 | 2023-09-18T01:11:21 | null | null | NONE | [] | null | null | null | null | ### Feature request
I'm using to_tf_dataset to convert a large dataset to tf.data.Dataset and use Keras fit to train model.
Currently, to_tf_dataset only supports full size shuffle, which can be very slow on large dataset.
tf.data.Dataset support buffer shuffle by default.
shuffle(
buffer_size, seed=None, r... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6235 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6235/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6235/comments | https://api.github.com/repos/huggingface/datasets/issues/6235/events | https://github.com/huggingface/datasets/issues/6235 | 1,893,337,083 | I_kwDODunzps5w2gf7 | 6,235 | Support multiprocessing for download/extract nestedly | {
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... | open | false | [] | null | 0 | 2023-09-12T21:51:08 | 2023-09-12T21:51:08 | null | null | NONE | [] | null | null | null | null | ### Feature request
Current multiprocessing for download/extract is not done nestedly. For example, when processing SlimPajama, there is only 3 processes (for train/test/val), while there are many files inside these 3 folders
```
Downloading data files #0: 0%| | 0/1 [00:00<?, ?obj/s]
Downloading data f... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6233 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6233/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6233/comments | https://api.github.com/repos/huggingface/datasets/issues/6233/events | https://github.com/huggingface/datasets/pull/6233 | 1,891,804,286 | PR_kwDODunzps5aF3kd | 6,233 | Update README.md | {
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https://api.github.com/repos/huggingface/datasets/issues/6232 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6232/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6232/comments | https://api.github.com/repos/huggingface/datasets/issues/6232/events | https://github.com/huggingface/datasets/pull/6232 | 1,891,109,762 | PR_kwDODunzps5aDhhK | 6,232 | Improve error message for missing function parameters | {
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This has been fixed. | {
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https://api.github.com/repos/huggingface/datasets/issues/6231 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6231/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6231/comments | https://api.github.com/repos/huggingface/datasets/issues/6231/events | https://github.com/huggingface/datasets/pull/6231 | 1,890,863,249 | PR_kwDODunzps5aCr8_ | 6,231 | Overwrite legacy default config name in `dataset_infos.json` in packaged datasets | {
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} | Currently if we push data as default config with `.push_to_hub` to a repo that has a legacy `dataset_infos.json` file containing a legacy default config name like `{username}--{dataset_name}`, new key `"default"` is added to `dataset_infos.json` along with the legacy one. I think the legacy one should be dropped in thi... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6230 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6230/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6230/comments | https://api.github.com/repos/huggingface/datasets/issues/6230/events | https://github.com/huggingface/datasets/pull/6230 | 1,890,521,006 | PR_kwDODunzps5aBh6L | 6,230 | Don't skip hidden files in `dl_manager.iter_files` when they are given as input | {
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https://api.github.com/repos/huggingface/datasets/issues/6229 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6229/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6229/comments | https://api.github.com/repos/huggingface/datasets/issues/6229/events | https://github.com/huggingface/datasets/issues/6229 | 1,889,050,954 | I_kwDODunzps5wmKFK | 6,229 | Apply inference on all images in the dataset | {
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```
---------------------------------------------------------------------------
NotImplementedError Traceback (most recent call last)
Cell In[14], line 11
9 for idx, example in enumerate(dataset['train']):
10 image_path = example['image']
---> 11 mask... | {
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https://api.github.com/repos/huggingface/datasets/issues/6228 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6228/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6228/comments | https://api.github.com/repos/huggingface/datasets/issues/6228/events | https://github.com/huggingface/datasets/pull/6228 | 1,887,959,311 | PR_kwDODunzps5Z5HZi | 6,228 | Remove RGB -> BGR image conversion in Object Detection tutorial | {
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https://api.github.com/repos/huggingface/datasets/issues/6225 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6225/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6225/comments | https://api.github.com/repos/huggingface/datasets/issues/6225/events | https://github.com/huggingface/datasets/issues/6225 | 1,887,054,320 | I_kwDODunzps5weinw | 6,225 | Conversion from RGB to BGR in Object Detection tutorial | {
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> albumentations expects the image to be in BGR format, not RGB, so you’ll have to convert the image before applying the transform.
[Link to tutorial](https://github.c... | {
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https://api.github.com/repos/huggingface/datasets/issues/6223 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6223/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6223/comments | https://api.github.com/repos/huggingface/datasets/issues/6223/events | https://github.com/huggingface/datasets/pull/6223 | 1,885,710,696 | PR_kwDODunzps5Zxd5c | 6,223 | Update README.md | {
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https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia/blob/main/librivox-indonesia.py#L59 | {
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https://api.github.com/repos/huggingface/datasets/issues/6221 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6221/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6221/comments | https://api.github.com/repos/huggingface/datasets/issues/6221/events | https://github.com/huggingface/datasets/issues/6221 | 1,884,324,631 | I_kwDODunzps5wUIMX | 6,221 | Support saving datasets with custom formatting | {
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I am not sure if supporting this is the best idea for the following reasons:
>For this to work, we would have to pickle a custom transform, which means the transform and the objects it references need to be... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6220 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6220/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6220/comments | https://api.github.com/repos/huggingface/datasets/issues/6220/events | https://github.com/huggingface/datasets/pull/6220 | 1,884,285,980 | PR_kwDODunzps5ZspRb | 6,220 | Set dev version | {
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https://api.github.com/repos/huggingface/datasets/issues/6219 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6219/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6219/comments | https://api.github.com/repos/huggingface/datasets/issues/6219/events | https://github.com/huggingface/datasets/pull/6219 | 1,884,244,334 | PR_kwDODunzps5ZsgPK | 6,219 | Release: 2.14.5 | {
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https://api.github.com/repos/huggingface/datasets/issues/6218 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6218/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6218/comments | https://api.github.com/repos/huggingface/datasets/issues/6218/events | https://github.com/huggingface/datasets/pull/6218 | 1,883,734,000 | PR_kwDODunzps5Zqw3Y | 6,218 | Rename old push_to_hub configs to "default" in dataset_infos | {
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"merged_at": "2023-09-06T11:23... | Fix
```python
from datasets import load_dataset_builder
b = load_dataset_builder("lambdalabs/pokemon-blip-captions", "default")
print(b.info)
```
which should return
```
DatasetInfo(
features={'image': Image(decode=True, id=None), 'text': Value(dtype='string', id=None)},
dataset_name='pokemon-bli... | {
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https://api.github.com/repos/huggingface/datasets/issues/6217 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6217/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6217/comments | https://api.github.com/repos/huggingface/datasets/issues/6217/events | https://github.com/huggingface/datasets/issues/6217 | 1,883,614,607 | I_kwDODunzps5wRa2P | 6,217 | `Dataset.to_dict()` ignore `decode=True` with Image feature | {
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`Dataset.to_dict` seems to ignore the decoding instruction passed in features.
### Steps to reproduce the bug
```python
import datasets
import numpy as np
from PIL import Image
img = np.random.randint(0, 256, (5, 5, 3), dtype=np.uint8)
img = Image.fromarray(img)
features = datasets.Fea... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6215 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6215/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6215/comments | https://api.github.com/repos/huggingface/datasets/issues/6215/events | https://github.com/huggingface/datasets/pull/6215 | 1,882,176,970 | PR_kwDODunzps5ZlcqC | 6,215 | Fix checking patterns to infer packaged builder | {
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https://api.github.com/repos/huggingface/datasets/issues/6214 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6214/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6214/comments | https://api.github.com/repos/huggingface/datasets/issues/6214/events | https://github.com/huggingface/datasets/issues/6214 | 1,881,736,469 | I_kwDODunzps5wKQUV | 6,214 | Unpin fsspec < 2023.9.0 | {
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- #6210
Related to issue:
- #6209
After investigation, I think the root issue is related to the new glob behavior with double asterisk `**` they have introduced in:
- https://github.com/fsspec/filesystem_spec/pull/1329 | {
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https://api.github.com/repos/huggingface/datasets/issues/6213 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6213/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6213/comments | https://api.github.com/repos/huggingface/datasets/issues/6213/events | https://github.com/huggingface/datasets/pull/6213 | 1,880,592,987 | PR_kwDODunzps5ZgHLO | 6,213 | Better list array values handling in cast/embed storage | {
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https://api.github.com/repos/huggingface/datasets/issues/6212 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6212/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6212/comments | https://api.github.com/repos/huggingface/datasets/issues/6212/events | https://github.com/huggingface/datasets/issues/6212 | 1,880,399,516 | I_kwDODunzps5wFJ6c | 6,212 | Tilde (~) is not supported for data_files | {
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Attempting to `load_dataset` from a path starting with `~` (as a shorthand for the user's home directory) seems not to be fully working - at least as far as the `parquet` dataset builder is concerned.
(the same file can be loaded correctly if providing its absolute path instead)
I think that... | null | {
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Until now they were omited because the JSON dumps ignore the fields that are equal to the default values.
This is needed in datasets-server since we parse this information to the viewer | {
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Hot fix #6209. | {
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See: https://github.com/huggingface/datasets/actions/runs/6069947111/job/16465138041
```
=========================== short test summary info ============================
FAILED tests/test_load.py::ModuleFactoryTest::test_LocalDatasetModuleFactoryWithoutScript_with_data_dir - ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6208 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6208/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6208/comments | https://api.github.com/repos/huggingface/datasets/issues/6208/events | https://github.com/huggingface/datasets/pull/6208 | 1,879,572,646 | PR_kwDODunzps5ZcnpJ | 6,208 | Do not filter out .zip extensions from no-script datasets | {
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- #6207
That PR introduced the filtering out of `.zip` extensions. This PR reverts that.
Hot fix #6207.
Maybe we should do patch releases: the bug was introduced in 2.13.1.
CC: @lhoestq | {
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https://api.github.com/repos/huggingface/datasets/issues/6207 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6207/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6207/comments | https://api.github.com/repos/huggingface/datasets/issues/6207/events | https://github.com/huggingface/datasets/issues/6207 | 1,879,555,234 | I_kwDODunzps5wB7yi | 6,207 | No-script datasets with ZIP files do not load | {
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For example, that no-script dataset containing ZIP files, raises NonMatchingSplitsSizesError:
```python
In [2]: ds = load_dataset("sidovic/LearningQ-qg")
NonMatchingSplitsSizesError: [
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https://api.github.com/repos/huggingface/datasets/issues/6206 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6206/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6206/comments | https://api.github.com/repos/huggingface/datasets/issues/6206/events | https://github.com/huggingface/datasets/issues/6206 | 1,879,473,745 | I_kwDODunzps5wBn5R | 6,206 | When calling load_dataset, raise error: pyarrow.lib.ArrowInvalid: offset overflow while concatenating arrays | {
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When calling load_dataset, raise error
```
Traceback (most recent call last):
File "/home/aihao/miniconda3/envs/torch/lib/python3.11/site-packages/datasets/builder.py", line 1694, in _pre
pare_split_single ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6203 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6203/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6203/comments | https://api.github.com/repos/huggingface/datasets/issues/6203/events | https://github.com/huggingface/datasets/issues/6203 | 1,877,491,602 | I_kwDODunzps5v6D-S | 6,203 | Support loading from a DVC remote repository | {
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Adding support for loading a file from a DVC repository, tracked remotely on a SCM.
### Motivation
DVC is a popular version control system to version and manage datasets. The files are stored on a remote object storage platform, but they are tracked using Git. Integration with DVC is possible thr... | {
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... | closed | false | [] | null | 1 | 2023-09-01T02:57:57 | 2023-10-12T16:28:59 | 2023-10-12T16:28:59 | null | NONE | [] | null | null | null | null | ### Feature request
Whenever I `pip install datasets[jax]` it downgrades jax to version 0.3.25. I seem to be able to install this library first then upgrade jax back to version 0.4.13.
### Motivation
It would be nice to not overwrite currently installed version of jax if possible.
### Your contribution
I... | {
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https://api.github.com/repos/huggingface/datasets/issues/6201 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6201/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6201/comments | https://api.github.com/repos/huggingface/datasets/issues/6201/events | https://github.com/huggingface/datasets/pull/6201 | 1,875,256,775 | PR_kwDODunzps5ZOVbV | 6,201 | Fix to_json ValueError and remove pandas pin | {
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"merged_at": "2023-09-05T10:58... | This PR fixes the root cause of the issue:
- #6197
This PR also removes the temporary pin of `pandas` introduced by:
- #6200
Note that for orient in ['records', 'values'], index value is ignored but
- in `pandas` < 2.1.0, a ValueError is raised if not index and orient not in ['split', 'table']
- for orien... | {
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https://api.github.com/repos/huggingface/datasets/issues/6200 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6200/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6200/comments | https://api.github.com/repos/huggingface/datasets/issues/6200/events | https://github.com/huggingface/datasets/pull/6200 | 1,875,169,551 | PR_kwDODunzps5ZOCee | 6,200 | Temporarily pin pandas < 2.1.0 | {
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Hot fix #6197. | {
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https://api.github.com/repos/huggingface/datasets/issues/6199 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6199/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6199/comments | https://api.github.com/repos/huggingface/datasets/issues/6199/events | https://github.com/huggingface/datasets/issues/6199 | 1,875,165,185 | I_kwDODunzps5vxMAB | 6,199 | Use load_dataset for local json files, but it not works | {
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when I use load_dataset to load my local datasets，it always goes to Hugging Face to download the data instead of loading the local dataset.
### Steps to reproduce the bug
`raw_datasets = load_dataset(
‘json’,
data_files=data_files)`
### Expected behavior
![image](https://gi... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6198 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6198/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6198/comments | https://api.github.com/repos/huggingface/datasets/issues/6198/events | https://github.com/huggingface/datasets/pull/6198 | 1,875,092,027 | PR_kwDODunzps5ZNyBq | 6,198 | Preserve split order in DataFilesDict | {
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"merged_at": "2023-08-31T13:48... | After investigation, I have found that this copy forces the splits to be sorted alphabetically: https://github.com/huggingface/datasets/blob/029227a116c14720afca71b9b22e78eb2a1c09a6/src/datasets/builder.py#L556
This PR removes the alphabetically sort of `DataFilesDict` keys.
- Note that for a `dict`, the order of k... | {
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Saving a dataset `.to_json()` fails with a `ValueError` since the latest `pandas` [release](https://pandas.pydata.org/docs/dev/whatsnew/v2.1.0.html) (`2.1.0`)
In their latest release we have:
> Improved error handling when using [DataFrame.to_json()](https://pandas.pydata.org/docs/dev/refere... | {
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For example, consider a no-script dataset with configs:
```yaml
configs:
- config_name: default
data_files:
- split: train
path: train.csv
- split: test
path: test.csv
```
- Note the defined split order is [train, test]
On... | {
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I have run the official example of MLM like:
```bash
python run_mlm.py \
--model_name_or_path roberta-base \
--dataset_name togethercomputer/RedPajama-Data-1T \
--dataset_config_name arxiv \
--per_device_train_batch_size 10 \
--preprocessing_num_workers 20 ... | {
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When using `Dataset.from_generator`, the generator is hashed when building the fingerprint. Similar to `.map`, it would be interesting to let the user bypass this hashing by accepting a `fingerprint` argument to `.from_generator`.
### Motivation
Using the `.from_generator` constructor with ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6193 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6193/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6193/comments | https://api.github.com/repos/huggingface/datasets/issues/6193/events | https://github.com/huggingface/datasets/issues/6193 | 1,872,285,153 | I_kwDODunzps5vmM3h | 6,193 | Dataset loading script method does not work with .pyc file | {
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The huggingface dataset library specifically looks for ‘.py’ file while loading the dataset using loading script approach and it does not work with ‘.pyc’ file.
While deploying in production, it becomes an issue when we are restricted to use only .pyc files. Is there any work around for this ?
#... | null | {
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Colab installs 2023.6.0, so we should be good 🙂
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I'm working on a dataset which comprises other datasets on the hub.
URL: https://huggingface.co/datasets/open-asr-leaderboard/datasets-test-only
Note: Some of the sub-datasets in this metadataset require explicit access.
All the other datasets work fine, except, `common_voice`.
### Steps t... | {
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I use `dataset.map(process_fn, batched=True)` to process the dataset, with data **augmentations or filtering**. However, when all examples within a batch is filtered out, i.e. **an empty batch is returned**, the following error will be thrown:
```
ValueError: Schema and number of arrays unequal
`... | {
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https://api.github.com/repos/huggingface/datasets/issues/6187 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6187/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6187/comments | https://api.github.com/repos/huggingface/datasets/issues/6187/events | https://github.com/huggingface/datasets/issues/6187 | 1,870,936,143 | I_kwDODunzps5vhDhP | 6,187 | Couldn't find a dataset script at /content/tsv/tsv.py or any data file in the same directory | {
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```
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
[<ipython-input-48-6a7b3e847019>](https://localhost:8080/#) in <cell line: 7>()
5 }
6
----> 7 csv_datasets_reloaded = load_... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6186 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6186/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6186/comments | https://api.github.com/repos/huggingface/datasets/issues/6186/events | https://github.com/huggingface/datasets/issues/6186 | 1,869,431,457 | I_kwDODunzps5vbUKh | 6,186 | Feature request: add code example of multi-GPU processing | {
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... | closed | false | [] | null | 18 | 2023-08-28T10:00:59 | 2024-10-07T09:39:51 | 2023-11-22T15:42:20 | null | CONTRIBUTOR | [] | null | null | null | null | ### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this saying "your big GPU call goes here", however it didn't work f... | {
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https://api.github.com/repos/huggingface/datasets/issues/6185 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6185/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6185/comments | https://api.github.com/repos/huggingface/datasets/issues/6185/events | https://github.com/huggingface/datasets/issues/6185 | 1,868,077,748 | I_kwDODunzps5vWJq0 | 6,185 | Error in saving the PIL image into *.arrow files using datasets.arrow_writer | {
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I am using the ArrowWriter from datasets.arrow_writer to save a json-style file as arrow files. Within the dictionary, it contains a feature called "image" which is a list of PIL.Image objects.
I am saving the json using the following script:
```
def save_to_arrow(path,temp):
with ArrowWri... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6184 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6184/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6184/comments | https://api.github.com/repos/huggingface/datasets/issues/6184/events | https://github.com/huggingface/datasets/issues/6184 | 1,867,766,143 | I_kwDODunzps5vU9l_ | 6,184 | Map cache does not detect function changes in another module | {
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# dataset.py
import os
import datasets
if not os.path.exists('/tmp/test.json'):
with open('/tmp/test.json', 'w') as file:
file.write('[{"text": "hello"}]')
def transform(example):
text = example['text']
# text += ' world'
return {'text': text}
data = datasets.load_dataset('json', ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6183 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6183/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6183/comments | https://api.github.com/repos/huggingface/datasets/issues/6183/events | https://github.com/huggingface/datasets/issues/6183 | 1,867,743,276 | I_kwDODunzps5vU4As | 6,183 | Load dataset with non-existent file | {
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When load a dataset from datasets and pass a wrong path to json with the data, error message does not contain something abount "wrong path" or "file do not exist" -
```SchemaInferenceError: Please pass `features` or at least one example when writing data```
### Steps to reproduce the bug
... | {
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https://api.github.com/repos/huggingface/datasets/issues/6182 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6182/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6182/comments | https://api.github.com/repos/huggingface/datasets/issues/6182/events | https://github.com/huggingface/datasets/issues/6182 | 1,867,203,131 | I_kwDODunzps5vS0I7 | 6,182 | Loading Meteor metric in HF evaluate module crashes due to datasets import issue | {
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When using python3.9 and ```evaluate``` module loading Meteor metric crashes at a non-existent import from ```datasets.config``` in ```datasets v2.14```
### Steps to reproduce the bug
```
from evaluate import load
meteor = load("meteor")
```
produces the following error:
```
from d... | {
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https://api.github.com/repos/huggingface/datasets/issues/6181 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6181/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6181/comments | https://api.github.com/repos/huggingface/datasets/issues/6181/events | https://github.com/huggingface/datasets/pull/6181 | 1,867,035,522 | PR_kwDODunzps5Yy2VO | 6,181 | Fix import in `image_load` doc | {
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https://api.github.com/repos/huggingface/datasets/issues/6180 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6180/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6180/comments | https://api.github.com/repos/huggingface/datasets/issues/6180/events | https://github.com/huggingface/datasets/pull/6180 | 1,867,032,578 | PR_kwDODunzps5Yy1r- | 6,180 | Use `hf-internal-testing` repos for hosting test dataset repos | {
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https://api.github.com/repos/huggingface/datasets/issues/6179 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6179/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6179/comments | https://api.github.com/repos/huggingface/datasets/issues/6179/events | https://github.com/huggingface/datasets/issues/6179 | 1,867,009,016 | I_kwDODunzps5vSEv4 | 6,179 | Map cache with tokenizer | {
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Unlike that issue, explicitly calling tokenizer(my_args) before the map() doesn't help, because the tokenizer was created with a different hash to begin with...
setup
```... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6178 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6178/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6178/comments | https://api.github.com/repos/huggingface/datasets/issues/6178/events | https://github.com/huggingface/datasets/issues/6178 | 1,866,610,102 | I_kwDODunzps5vQjW2 | 6,178 | 'import datasets' throws "invalid syntax error" | {
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Hi,
I have been trying to import the datasets library but I keep gtting this error.
`Traceback (most recent call last):
File /opt/local/jupyterhub/lib64/python3.9/site-packages/IPython/core/interactiveshell.py:3508 in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
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https://api.github.com/repos/huggingface/datasets/issues/6177 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6177/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6177/comments | https://api.github.com/repos/huggingface/datasets/issues/6177/events | https://github.com/huggingface/datasets/pull/6177 | 1,865,490,962 | PR_kwDODunzps5Ytky- | 6,177 | Use object detection images from `huggingface/documentation-images` | {
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https://api.github.com/repos/huggingface/datasets/issues/6176 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6176/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6176/comments | https://api.github.com/repos/huggingface/datasets/issues/6176/events | https://github.com/huggingface/datasets/issues/6176 | 1,864,436,408 | I_kwDODunzps5vIQq4 | 6,176 | how to limit the size of memory mapped file? | {
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Huggingface datasets use memory-mapped file to map large datasets in memory for fast access.
However, it seems like huggingface will occupy all the memory for memory-mapped files, which makes a troublesome situation since we cluster will distribute a small portion of memory to me (once it's over ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6175 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6175/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6175/comments | https://api.github.com/repos/huggingface/datasets/issues/6175/events | https://github.com/huggingface/datasets/pull/6175 | 1,863,592,678 | PR_kwDODunzps5YnKlx | 6,175 | PyArrow 13 CI fixes | {
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"merged_at": "2023-08-25T13:06... | Fixes:
* bumps the PyArrow version check in the `cast_array_to_feature` to avoid the offset bug (still not fixed)
* aligns the Pandas formatting tests with the Numpy ones (the current test fails due to https://github.com/apache/arrow/pull/35656, which requires `.to_pandas(coerce_temporal_nanoseconds=True)` to always ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6173 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6173/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6173/comments | https://api.github.com/repos/huggingface/datasets/issues/6173/events | https://github.com/huggingface/datasets/issues/6173 | 1,863,422,065 | I_kwDODunzps5vEZBx | 6,173 | Fix CI for pyarrow 13.0.0 | {
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```
FAILED tests/test_formatting.py::ArrowExtractorTest::test_pandas_extractor - AssertionError: Attributes of Series are different
Attribute "dtype" are different
[left]: datetime64[us, UTC]
[right]: datetime64[ns, UTC]
```
```
FAILED tests/test_table.py::test_cast_sliced_fi... | {
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https://api.github.com/repos/huggingface/datasets/issues/6172 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6172/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6172/comments | https://api.github.com/repos/huggingface/datasets/issues/6172/events | https://github.com/huggingface/datasets/issues/6172 | 1,863,318,027 | I_kwDODunzps5vD_oL | 6,172 | Make Dataset streaming queries retryable | {
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... | open | false | [] | null | 4 | 2023-08-23T13:15:38 | 2023-11-06T13:54:16 | null | null | NONE | [] | null | null | null | null | ### Feature request
Streaming datasets, as intended, do not load the entire dataset in memory or disk. However, while querying the next data chunk from the remote, sometimes it is possible that the service is down or there might be other issues that may cause the query to fail. In such a scenario, it would be nice to ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6171 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6171/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6171/comments | https://api.github.com/repos/huggingface/datasets/issues/6171/events | https://github.com/huggingface/datasets/pull/6171 | 1,862,922,767 | PR_kwDODunzps5Yk4AS | 6,171 | Fix typo in about_mapstyle_vs_iterable.mdx | {
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} | Added an optional parameter return_file_name in the load_dataset function. When it is set to True, the function will include the name of the file corresponding to the current line as a feature in the returned output.
I added this here https://github.com/huggingface/datasets/blob/main/src/datasets/packaged_modules/js... | null | {
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Hello! I'm trying to follow the docs here in order to create structure in my dataset as added from here (#5331): https://github.com/huggingface/datasets/blob/8b8e6ee067eb74e7965ca2a6768f15f9398cb7c8/docs/source/repository_structure.mdx#L110-L118
I have t... | null | {
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Fix #6112 | {
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} | To fix https://discuss.huggingface.co/t/error-when-setting-up-the-dataset-viewer-streamingrowserror/51276.
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"merged_at": "2023-08-29T13:18... | The "Spawn" method is preferred when multiprocessing on macOS or Windows systems, instead of the "Fork" method on linux systems.
This causes some methods of Iterable Datasets to break when using a dataloader with more than 0 workers.
I fixed the issue by replacing lambda and local methods which are not pickle-abl... | {
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"merged_at": "2023-08-21T16:18... | When I try to push to an arrow repo (can provide the link on Slack), it uploads the files but fails to update the metadata, with
```
File "app.py", line 123, in add_new_eval
eval_results[level].push_to_hub(my_repo, token=TOKEN, split=SPLIT)
File "blabla_my_env_path/lib/python3.10/site-packages/datasets/arro... | {
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https://api.github.com/repos/huggingface/datasets/issues/6163 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6163/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6163/comments | https://api.github.com/repos/huggingface/datasets/issues/6163/events | https://github.com/huggingface/datasets/issues/6163 | 1,857,682,241 | I_kwDODunzps5uuftB | 6,163 | Error type: ArrowInvalid Details: Failed to parse string: '[254,254]' as a scalar of type int32 | {
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I am getting the following error while I am trying to upload the CSV sheet to train a model. My CSV sheet content is exactly same as shown in the example CSV file in the Auto Train page. Attaching screenshot of error for reference. I have also tried converting the index of the answer that are inte... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6162 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6162/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6162/comments | https://api.github.com/repos/huggingface/datasets/issues/6162/events | https://github.com/huggingface/datasets/issues/6162 | 1,856,198,342 | I_kwDODunzps5uo1bG | 6,162 | load_dataset('json',...) from togethercomputer/RedPajama-Data-1T errors when jsonl rows contains different data fields | {
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When loading some jsonl from redpajama-data-1T github source [togethercomputer/RedPajama-Data-1T](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T) fails due to one row of the file containing an extra field called **symlink_target: string>**.
When deleting that line the loading... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6160 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6160/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6160/comments | https://api.github.com/repos/huggingface/datasets/issues/6160/events | https://github.com/huggingface/datasets/pull/6160 | 1,855,760,543 | PR_kwDODunzps5YMtLQ | 6,160 | Fix Parquet loading with `columns` | {
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https://api.github.com/repos/huggingface/datasets/issues/6159 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6159/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6159/comments | https://api.github.com/repos/huggingface/datasets/issues/6159/events | https://github.com/huggingface/datasets/issues/6159 | 1,855,691,512 | I_kwDODunzps5um5r4 | 6,159 | Add `BoundingBox` feature | {
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... | open | false | [] | null | 1 | 2023-08-17T20:49:51 | 2024-11-18T17:58:43 | null | null | COLLABORATOR | [] | null | null | null | null | ... to make working with object detection datasets easier. Currently, `Sequence(int_or_float, length=4)` can be used to represent this feature optimally (in the storage backend), so I only see this feature being useful if we make it work with the viewer. Also, bounding boxes usually come in 4 different formats (explain... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6158 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6158/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6158/comments | https://api.github.com/repos/huggingface/datasets/issues/6158/events | https://github.com/huggingface/datasets/pull/6158 | 1,855,374,220 | PR_kwDODunzps5YLZBf | 6,158 | [docs] Complete `to_iterable_dataset` | {
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https://api.github.com/repos/huggingface/datasets/issues/6157 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6157/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6157/comments | https://api.github.com/repos/huggingface/datasets/issues/6157/events | https://github.com/huggingface/datasets/issues/6157 | 1,855,265,663 | I_kwDODunzps5ulRt_ | 6,157 | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding' | {
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When I was in load_dataset, it said "DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'". The second time I ran it, there was no error and the dataset object worked
```python
---------------------------------------------------------------------------
TypeErr... | {
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https://api.github.com/repos/huggingface/datasets/issues/6156 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6156/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6156/comments | https://api.github.com/repos/huggingface/datasets/issues/6156/events | https://github.com/huggingface/datasets/issues/6156 | 1,854,768,618 | I_kwDODunzps5ujYXq | 6,156 | Why not use self._epoch as seed to shuffle in distributed training with IterableDataset | {
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Currently, distributed training with `IterableDataset` needs to pass fixed seed to shuffle to keep each node use the same seed to avoid overlapping.
https://github.com/huggingface/datasets/blob/a7f8d9019e7cb104eac4106bdc6ec0292f0dc61a/src/datasets/iterable_dataset.py#L1174-L1177
My question ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6155 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6155/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6155/comments | https://api.github.com/repos/huggingface/datasets/issues/6155/events | https://github.com/huggingface/datasets/pull/6155 | 1,854,661,682 | PR_kwDODunzps5YI8Pc | 6,155 | Raise FileNotFoundError when passing data_files that don't exist | {
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"merged_at": "2023-08-18T13:35... | e.g. when running `load_dataset("parquet", data_files="doesnt_exist.parquet")` | {
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https://api.github.com/repos/huggingface/datasets/issues/6154 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6154/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6154/comments | https://api.github.com/repos/huggingface/datasets/issues/6154/events | https://github.com/huggingface/datasets/pull/6154 | 1,854,595,943 | PR_kwDODunzps5YItlH | 6,154 | Use yaml instead of get data patterns when possible | {
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"merged_at": "2023-08-17T20:37... | This would make the data files resolution faster: no need to list all the data files to infer the dataset builder to use.
fix https://github.com/huggingface/datasets/issues/6140 | {
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https://api.github.com/repos/huggingface/datasets/issues/6152 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6152/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6152/comments | https://api.github.com/repos/huggingface/datasets/issues/6152/events | https://github.com/huggingface/datasets/issues/6152 | 1,852,494,646 | I_kwDODunzps5uatM2 | 6,152 | FolderBase Dataset automatically resolves under current directory when data_dir is not specified | {
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FolderBase Dataset automatically resolves under current directory when data_dir is not specified.
For example:
```
load_dataset("audiofolder")
```
takes long time to resolve and collect data_files from current directory. But I think it should reach out to this line for error handling https:... | {
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https://api.github.com/repos/huggingface/datasets/issues/6151 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6151/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6151/comments | https://api.github.com/repos/huggingface/datasets/issues/6151/events | https://github.com/huggingface/datasets/issues/6151 | 1,851,497,818 | I_kwDODunzps5uW51a | 6,151 | Faster sorting for single key items | {
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A faster way to sort a dataset which contains a large number of rows.
### Motivation
The current sorting implementations took significantly longer than expected when I was running on a dataset trying to sort by timestamps.
**Code snippet:**
```python
ds = datasets.load_dataset( "json"... | {
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