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https://api.github.com/repos/huggingface/datasets/issues/7159 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7159/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7159/comments | https://api.github.com/repos/huggingface/datasets/issues/7159/events | https://github.com/huggingface/datasets/issues/7159 | 2,541,865,613 | I_kwDODunzps6XgcqN | 7,159 | JSON lines with missing struct fields raise TypeError: Couldn't cast array | {
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"Hello,\r\n\r\nI have still the same issue when loading the dataset with the new version:\r\n[https://huggingface.co/datasets/wikimedia/structured-wikipedia/discussions/5](https://huggingface.co/datasets/wikimedia/structured-wikipedia/discussions/5)\r\n\r\nI have downloaded and unzipped the wikimedia/structured-wik... | 2024-09-23 07:57:58 | 2024-10-21 08:07:07 | 2024-09-23 11:09:18 | {
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See example: https://huggingface.co/datasets/wikimedia/structured-wikipedia/discussions/5
One would expect that the struct missing fields are added with null values. | {
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https://api.github.com/repos/huggingface/datasets/issues/7156 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7156/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7156/comments | https://api.github.com/repos/huggingface/datasets/issues/7156/events | https://github.com/huggingface/datasets/issues/7156 | 2,539,360,617 | I_kwDODunzps6XW5Fp | 7,156 | interleave_datasets resets shuffle state | {
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"It also does preserve `split_by_node`, so in the meantime you should call `shuffle` or `split_by_node` AFTER `interleave_datasets` or `concatenate_datasets`"
] | 2024-09-20 17:57:54 | 2025-03-18 10:56:25 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
```
import datasets
import torch.utils.data
def gen(shards):
yield {"shards": shards}
def main():
dataset = datasets.IterableDataset.from_generator(
gen,
gen_kwargs={'shards': list(range(25))}
)
dataset = dataset.shuffle(buffer_size=1)
dataset... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7155 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7155/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7155/comments | https://api.github.com/repos/huggingface/datasets/issues/7155/events | https://github.com/huggingface/datasets/issues/7155 | 2,533,641,870 | I_kwDODunzps6XBE6O | 7,155 | Dataset viewer not working! Failure due to more than 32 splits. | {
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"I have fixed it! But I would appreciate a new feature wheere I could iterate over and see what each file looks like. "
] | 2024-09-18 12:43:21 | 2024-09-18 13:20:03 | 2024-09-18 13:20:03 | null | NONE | [] | null | null | null | null | Hello guys,
I have a dataset and I didn't know I couldn't upload more than 32 splits. Now, my dataset viewer is not working. I don't have the dataset locally on my node anymore and recreating would take a week. And I have to publish the dataset coming Monday. I read about the practice, how I can resolve it and avoi... | {
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https://api.github.com/repos/huggingface/datasets/issues/7153 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7153/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7153/comments | https://api.github.com/repos/huggingface/datasets/issues/7153/events | https://github.com/huggingface/datasets/issues/7153 | 2,532,788,555 | I_kwDODunzps6W90lL | 7,153 | Support data files with .ndjson extension | {
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Support data files with `.ndjson` extension.
### Motivation
We already support data files with `.jsonl` extension.
### Your contribution
I am opening a PR. | {
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https://api.github.com/repos/huggingface/datasets/issues/7150 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7150/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7150/comments | https://api.github.com/repos/huggingface/datasets/issues/7150/events | https://github.com/huggingface/datasets/issues/7150 | 2,527,571,175 | I_kwDODunzps6Wp6zn | 7,150 | WebDataset loader splits keys differently than WebDataset library | {
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For example, we get a different key splitting for filename `/some/path/22.0/1.1.png`:
... | {
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https://api.github.com/repos/huggingface/datasets/issues/7149 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7149/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7149/comments | https://api.github.com/repos/huggingface/datasets/issues/7149/events | https://github.com/huggingface/datasets/issues/7149 | 2,524,497,448 | I_kwDODunzps6WeMYo | 7,149 | Datasets Unknown Keyword Argument Error - task_templates | {
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"Thanks, for reporting.\r\n\r\nWe have been fixing most Hub datasets to remove the deprecated (and now non-supported) task templates, but we missed the \"facebook/winoground\".\r\n\r\nIt is fixed now: https://huggingface.co/datasets/facebook/winoground/discussions/8\r\n\r\n",
"Hello @albertvillanova \r\n\r\nI got... | 2024-09-13 10:30:57 | 2025-03-06 07:11:55 | 2024-09-13 14:10:48 | {
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Issue
```python
from datasets import load_dataset
examples = load_dataset('facebook/winoground', use_auth_token=<YOUR USER ACCESS TOKEN>)
```
Gives error
```
TypeError: DatasetInfo.__init__() got an unexpected keyword argument 'task_templates'
```
A simple downgrade to lower `data... | {
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https://api.github.com/repos/huggingface/datasets/issues/7148 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7148/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7148/comments | https://api.github.com/repos/huggingface/datasets/issues/7148/events | https://github.com/huggingface/datasets/issues/7148 | 2,523,833,413 | I_kwDODunzps6WbqRF | 7,148 | Bug: Error when downloading mteb/mtop_domain | {
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"Could you please try with `force_redownload` instead?\r\nEDIT:\r\n```python\r\ndata = load_dataset(\"mteb/mtop_domain\", \"en\", download_mode=\"force_redownload\")\r\n```",
"Seems the error is still there",
"I am not able to reproduce the issue:\r\n```python\r\nIn [1]: from datasets import load_dataset\r\n\r\... | 2024-09-13 04:09:39 | 2024-09-14 15:11:35 | 2024-09-14 15:11:35 | null | NONE | [] | null | null | null | null | ### Describe the bug
When downloading the dataset "mteb/mtop_domain", ran into the following error:
```
Traceback (most recent call last):
File "/share/project/xzy/test/test_download.py", line 3, in <module>
data = load_dataset("mteb/mtop_domain", "en", trust_remote_code=True)
File "/opt/conda/lib/pytho... | {
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https://api.github.com/repos/huggingface/datasets/issues/7147 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7147/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7147/comments | https://api.github.com/repos/huggingface/datasets/issues/7147/events | https://github.com/huggingface/datasets/issues/7147 | 2,523,129,465 | I_kwDODunzps6WY-Z5 | 7,147 | IterableDataset strange deadlock | {
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"Yes `interleave_datasets` seems to have an issue with shuffling, could you open a new issue on this ?\r\n\r\nThen regarding the deadlock, it has to do with interleave_dataset with probabilities=[1, 0] with workers that may contain an empty dataset in first position (it can be empty since you distribute 1024 shard ... | 2024-09-12 18:59:33 | 2024-09-23 09:32:27 | 2024-09-21 17:37:34 | null | NONE | [] | null | null | null | null | ### Describe the bug
```
import datasets
import torch.utils.data
num_shards = 1024
def gen(shards):
for shard in shards:
if shard < 25:
yield {"shard": shard}
def main():
dataset = datasets.IterableDataset.from_generator(
gen,
gen_kwargs={"shards": lis... | {
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https://api.github.com/repos/huggingface/datasets/issues/7142 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7142/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7142/comments | https://api.github.com/repos/huggingface/datasets/issues/7142/events | https://github.com/huggingface/datasets/issues/7142 | 2,512,244,938 | I_kwDODunzps6VvdDK | 7,142 | Specifying datatype when adding a column to a dataset. | {
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"#self-assign"
] | 2024-09-08 07:34:24 | 2024-09-17 03:46:32 | 2024-09-17 03:46:32 | null | CONTRIBUTOR | [] | null | null | null | null | ### Feature request
There should be a way to specify the datatype of a column in `datasets.add_column()`.
### Motivation
To specify a custom datatype, we have to use `datasets.add_column()` followed by `datasets.cast_column()` which is slow for large datasets. Another workaround is to pass a `numpy.array()` of desi... | {
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https://api.github.com/repos/huggingface/datasets/issues/7141 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7141/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7141/comments | https://api.github.com/repos/huggingface/datasets/issues/7141/events | https://github.com/huggingface/datasets/issues/7141 | 2,510,797,653 | I_kwDODunzps6Vp7tV | 7,141 | Older datasets throwing safety errors with 2.21.0 | {
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"I am also getting this error with this dataset: https://huggingface.co/datasets/google/IFEval",
"Me too, didn't have this issue few hours ago.",
"same observation. I even downgraded `datasets==2.20.0` and `huggingface_hub==0.23.5` leading me to believe it's an issue on the server.\r\n\r\nany known workarounds?... | 2024-09-06 16:26:30 | 2024-09-06 21:14:14 | 2024-09-06 19:09:29 | null | NONE | [] | null | null | null | null | ### Describe the bug
The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en", split="train")
val_data = datasets.load_dataset(... | {
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https://api.github.com/repos/huggingface/datasets/issues/7139 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7139/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7139/comments | https://api.github.com/repos/huggingface/datasets/issues/7139/events | https://github.com/huggingface/datasets/issues/7139 | 2,508,078,858 | I_kwDODunzps6Vfj8K | 7,139 | Use load_dataset to load imagenet-1K But find a empty dataset | {
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"Imagenet-1k is a gated dataset which means you’ll have to agree to share your contact info to access it. Have you tried this yet? Once you have, you can sign in with your user token (you can find this in your Hugging Face account settings) when prompted by running.\r\n\r\n```\r\nhuggingface-cli login\r\ntrain_set... | 2024-09-05 15:12:22 | 2024-10-09 04:02:41 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
```python
def get_dataset(data_path, train_folder="train", val_folder="val"):
traindir = os.path.join(data_path, train_folder)
valdir = os.path.join(data_path, val_folder)
def transform_val_examples(examples):
transform = Compose([
Resize(256),
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7138 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7138/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7138/comments | https://api.github.com/repos/huggingface/datasets/issues/7138/events | https://github.com/huggingface/datasets/issues/7138 | 2,507,738,308 | I_kwDODunzps6VeQzE | 7,138 | Cache only changed columns? | {
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"so I guess a workaround to this is to simply remove all columns except the ones to cache and then add them back with `concatenate_datasets(..., axis=1)`.",
"yes this is the right workaround. We're keeping the cache like this to make it easier for people to delete intermediate cache files"
] | 2024-09-05 12:56:47 | 2024-09-20 13:27:20 | null | null | CONTRIBUTOR | [] | null | null | null | null | ### Feature request
Cache only the actual changes to the dataset i.e. changed columns.
### Motivation
I realized that caching actually saves the complete dataset again.
This is especially problematic for image datasets if one wants to only change another column e.g. some metadata and then has to save 5 TB again.
#... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7137 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7137/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7137/comments | https://api.github.com/repos/huggingface/datasets/issues/7137/events | https://github.com/huggingface/datasets/issues/7137 | 2,506,851,048 | I_kwDODunzps6Va4Lo | 7,137 | [BUG] dataset_info sequence unexpected behavior in README.md YAML | {
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"The non-sequence case works well (`dict[str, str]` instead of `list[dict[str, str]]`), which makes me believe it shall be a bug for `sequence` and my proposed behavior shall be expected.\r\n```\r\ndataset_info:\r\n- config_name: default\r\n features:\r\n - name: answers\r\n dtype:\r\n - name: text\r\n ... | 2024-09-05 06:06:06 | 2025-07-07 09:20:29 | 2025-07-04 19:50:59 | null | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
When working on `dataset_info` yaml, I find my data column with format `list[dict[str, str]]` cannot be coded correctly.
My data looks like
```
{"answers":[{"text": "ADDRESS", "label": "abc"}]}
```
My `dataset_info` in README.md is:
```
dataset_info:
- config_name: default
feature... | {
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https://api.github.com/repos/huggingface/datasets/issues/7135 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7135/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7135/comments | https://api.github.com/repos/huggingface/datasets/issues/7135/events | https://github.com/huggingface/datasets/issues/7135 | 2,503,318,328 | I_kwDODunzps6VNZs4 | 7,135 | Bug: Type Mismatch in Dataset Mapping | {
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"By the way, following code is working. This show the inconsistentcy.\r\n```python\r\nfrom datasets import Dataset\r\n\r\n# Original data\r\ndata = {\r\n 'text': ['Hello', 'world', 'this', 'is', 'a', 'test'],\r\n 'label': [0, 1, 0, 1, 1, 0]\r\n}\r\n\r\n# Creating a Dataset object\r\ndataset = Dataset.from_dic... | 2024-09-03 16:37:01 | 2024-09-05 14:09:05 | null | null | NONE | [] | null | null | null | null | # Issue: Type Mismatch in Dataset Mapping
## Description
There is an issue with the `map` function in the `datasets` library where the mapped output does not reflect the expected type change. After applying a mapping function to convert an integer label to a string, the resulting type remains an integer instead of ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7134 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7134/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7134/comments | https://api.github.com/repos/huggingface/datasets/issues/7134/events | https://github.com/huggingface/datasets/issues/7134 | 2,499,484,041 | I_kwDODunzps6U-xmJ | 7,134 | Attempting to return a rank 3 grayscale image from dataset.map results in extreme slowdown | {
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Background: Digital images are often represented as a (Height, Width, Channel) tensor. This is the same for huggingface datasets that contain images. These images are loaded in Pillow containers which offer, for example, the `.convert` method.
I can convert an image from a (H,W,3) shape to a... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7129 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7129/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7129/comments | https://api.github.com/repos/huggingface/datasets/issues/7129/events | https://github.com/huggingface/datasets/issues/7129 | 2,491,942,650 | I_kwDODunzps6UiAb6 | 7,129 | Inconsistent output in documentation example: `num_classes` not displayed in `ClassLabel` output | {
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````
from datasets import Features
features = Features({'label': ClassLabel(num_classes=3, names=['bad', 'ok', 'good'])})
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https://api.github.com/repos/huggingface/datasets/issues/7128 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7128/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7128/comments | https://api.github.com/repos/huggingface/datasets/issues/7128/events | https://github.com/huggingface/datasets/issues/7128 | 2,490,274,775 | I_kwDODunzps6UbpPX | 7,128 | Filter Large Dataset Entry by Entry | {
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"Hi ! you can do\r\n\r\n```python\r\nfiltered_dataset = dataset.filter(filter_function)\r\n```\r\n\r\non a subset:\r\n\r\n```python\r\nfiltered_subset = dataset.select(range(10_000)).filter(filter_function)\r\n```\r\n",
"Jumping on this as it seems relevant - when I use the `filter` method, it often results in an... | 2024-08-27 20:31:09 | 2024-10-07 23:37:44 | null | null | NONE | [] | null | null | null | null | ### Feature request
I am not sure if this is a new feature, but I wanted to post this problem here, and hear if others have ways of optimizing and speeding up this process.
Let's say I have a really large dataset that I cannot load into memory. At this point, I am only aware of `streaming=True` to load the dataset.... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7127 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7127/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7127/comments | https://api.github.com/repos/huggingface/datasets/issues/7127/events | https://github.com/huggingface/datasets/issues/7127 | 2,486,524,966 | I_kwDODunzps6UNVwm | 7,127 | Caching shuffles by np.random.Generator results in unintiutive behavior | {
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"I first thought this was a mistake of mine, and also posted on stack overflow. https://stackoverflow.com/questions/78913797/iterating-a-huggingface-dataset-from-disk-using-generator-seems-broken-how-to-d \r\n\r\nIt seems to me the issue is the caching step in \r\n\r\nhttps://github.com/huggingface/datasets/blob/be... | 2024-08-26 10:29:48 | 2026-09-10 13:34:25 | 2026-09-10 13:34:25 | null | NONE | [] | null | null | null | null | ### Describe the bug
Create a dataset. Save it to disk. Load from disk. Shuffle, usning a `np.random.Generator`. Iterate. Shuffle again. Iterate. The iterates are different since the supplied np.random.Generator has progressed between the shuffles.
Load dataset from disk again. Shuffle and Iterate. See same result ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7123 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7123/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7123/comments | https://api.github.com/repos/huggingface/datasets/issues/7123/events | https://github.com/huggingface/datasets/issues/7123 | 2,484,003,937 | I_kwDODunzps6UDuRh | 7,123 | Make dataset viewer more flexible in displaying metadata alongside images | {
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"Note that you can already have one directory per subset just for the metadata, e.g.\r\n\r\n```\r\nconfigs:\r\n - config_name: subset0\r\n data_files:\r\n - subset0/metadata.csv\r\n - images/*.jpg\r\n - config_name: subset1\r\n data_files:\r\n - subset1/metadata.csv\r\n - images/*.jpg\r\... | 2024-08-23 22:56:01 | 2024-10-17 09:13:47 | null | null | NONE | [] | null | null | null | null | ### Feature request
To display images with their associated metadata in the dataset viewer, a `metadata.csv` file is required. In the case of a dataset with multiple subsets, this would require the CSVs to be contained in the same folder as the images since they all need to be named `metadata.csv`. The request is th... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7122 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7122/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7122/comments | https://api.github.com/repos/huggingface/datasets/issues/7122/events | https://github.com/huggingface/datasets/issues/7122 | 2,482,491,258 | I_kwDODunzps6T9896 | 7,122 | [interleave_dataset] sample batches from a single source at a time | {
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... | open | false | [] | null | [] | 2024-08-23 07:21:15 | 2024-08-23 07:21:15 | null | null | NONE | [] | null | null | null | null | ### Feature request
interleave_dataset and [RandomlyCyclingMultiSourcesExamplesIterable](https://github.com/huggingface/datasets/blob/3813ce846e52824b38e53895810682f0a496a2e3/src/datasets/iterable_dataset.py#L816) enable us to sample data examples from different sources. But can we also sample batches in a similar man... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7117 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7117/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7117/comments | https://api.github.com/repos/huggingface/datasets/issues/7117/events | https://github.com/huggingface/datasets/issues/7117 | 2,476,555,659 | I_kwDODunzps6TnT2L | 7,117 | Audio dataset load everything in RAM and is very slow | {
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"Hi ! I think the issue comes from the fact that you return `row` entirely, and therefore the dataset has to re-encode the audio data in `row`.\r\n\r\nCan you try this instead ?\r\n\r\n```python\r\n# map the dataset\r\ndef transcribe_audio(row):\r\n audio = row[\"audio\"] # get the audio but do nothing with it\... | 2024-08-20 21:18:12 | 2024-08-26 13:11:55 | null | null | NONE | [] | null | null | null | null | Hello, I'm working with an audio dataset. I want to transcribe the audio that the dataset contain, and for that I use whisper. My issue is that the dataset load everything in the RAM when I map the dataset, obviously, when RAM usage is too high, the program crashes.
To fix this issue, I'm using writer_batch_size tha... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7116 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7116/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7116/comments | https://api.github.com/repos/huggingface/datasets/issues/7116/events | https://github.com/huggingface/datasets/issues/7116 | 2,475,522,721 | I_kwDODunzps6TjXqh | 7,116 | datasets cannot handle nested json if features is given. | {
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"Hi ! `Sequence` has a weird behavior for dictionaries (from tensorflow-datasets), use a regular list instead:\r\n\r\n```python\r\nds = datasets.load_dataset('json', data_files=\"./temp.json\", features=datasets.Features({\r\n 'ref1': datasets.Value('string'),\r\n 'ref2': datasets.Value('string'),\r\n 'cut... | 2024-08-20 12:27:49 | 2024-09-03 10:18:23 | 2024-09-03 10:18:07 | null | NONE | [] | null | null | null | null | ### Describe the bug
I have a json named temp.json.
```json
{"ref1": "ABC", "ref2": "DEF", "cuts":[{"cut1": 3, "cut2": 5}]}
```
I want to load it.
```python
ds = datasets.load_dataset('json', data_files="./temp.json", features=datasets.Features({
'ref1': datasets.Value('string'),
'ref2': datasets.Value... | {
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https://api.github.com/repos/huggingface/datasets/issues/7115 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7115/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7115/comments | https://api.github.com/repos/huggingface/datasets/issues/7115/events | https://github.com/huggingface/datasets/issues/7115 | 2,475,363,142 | I_kwDODunzps6TiwtG | 7,115 | module 'pyarrow.lib' has no attribute 'ListViewType' | {
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"https://github.com/neurafusionai/Hugging_Face/blob/main/meta_opt_350m_customer_support_lora_v1.ipynb\r\n\r\ncouldnt train because of GPU\r\nI didnt pip install datasets -U\r\nbut looks like restarting worked"
] | 2024-08-20 11:05:44 | 2024-09-10 06:51:08 | 2024-09-10 06:51:08 | null | NONE | [] | null | null | null | null | ### Describe the bug
Code:
`!pipuninstall -y pyarrow
!pip install --no-cache-dir pyarrow
!pip uninstall -y pyarrow
!pip install pyarrow --no-cache-dir
!pip install --upgrade datasets transformers pyarrow
!pip install pyarrow.parquet
! pip install pyarrow-core libparquet
!pip install pyarrow --no-cache-di... | {
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https://api.github.com/repos/huggingface/datasets/issues/7113 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7113/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7113/comments | https://api.github.com/repos/huggingface/datasets/issues/7113/events | https://github.com/huggingface/datasets/issues/7113 | 2,475,029,640 | I_kwDODunzps6ThfSI | 7,113 | Stream dataset does not iterate if the batch size is larger than the dataset size (related to drop_last_batch) | {
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"That's expected behavior, it's also the same in `torch`:\r\n\r\n```python\r\n>>> list(DataLoader(list(range(5)), batch_size=10, drop_last=True))\r\n[]\r\n```"
] | 2024-08-20 08:26:40 | 2024-08-26 04:24:11 | 2024-08-26 04:24:10 | null | NONE | [] | null | null | null | null | ### Describe the bug
Hi there,
I use streaming and interleaving to combine multiple datasets saved in jsonl files. The size of dataset can vary (from 100ish to 100k-ish). I use dataset.map() and a big batch size to reduce the IO cost. It was working fine with datasets-2.16.1 but this problem shows up after I upgr... | {
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https://api.github.com/repos/huggingface/datasets/issues/7112 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7112/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7112/comments | https://api.github.com/repos/huggingface/datasets/issues/7112/events | https://github.com/huggingface/datasets/issues/7112 | 2,475,004,644 | I_kwDODunzps6ThZLk | 7,112 | cudf-cu12 24.4.1, ibis-framework 8.0.0 requires pyarrow<15.0.0a0,>=14.0.1,pyarrow<16,>=2 and datasets 2.21.0 requires pyarrow>=15.0.0 | {
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"@sayakpaul please advice ",
"Hits the same dependency conflict"
] | 2024-08-20 08:13:55 | 2024-09-20 15:30:03 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
!pip install accelerate>=0.16.0 torchvision transformers>=4.25.1 datasets>=2.19.1 ftfy tensorboard Jinja2 peft==0.7.0
ERROR: pip's dependency resolver does not currently take into account all the packages that are installed. This behaviour is the source of the following dependency conflicts.
c... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7111 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7111/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7111/comments | https://api.github.com/repos/huggingface/datasets/issues/7111/events | https://github.com/huggingface/datasets/issues/7111 | 2,474,915,845 | I_kwDODunzps6ThDgF | 7,111 | CI is broken for numpy-2: Failed to fetch wheel: llvmlite==0.34.0 | {
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"Note that the CI before was using:\r\n- llvmlite: 0.43.0\r\n- numba: 0.60.0\r\n\r\nNow it tries to use:\r\n- llvmlite: 0.34.0\r\n- numba: 0.51.2",
"The issue is because numba-0.60.0 pins numpy<2.1 and `uv` tries to install latest numpy-2.1.0 with an old numba-0.51.0 version (and llvmlite-0.34.0). See discussion ... | 2024-08-20 07:27:28 | 2024-08-21 05:05:36 | 2024-08-20 09:02:36 | {
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```
Run uv pip install --system "datasets[tests_numpy2] @ ."
Resolved 150 packages in 4.42s
error: Failed to prepare distributions
Caused by: Failed to fetch wheel: ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7109 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7109/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7109/comments | https://api.github.com/repos/huggingface/datasets/issues/7109/events | https://github.com/huggingface/datasets/issues/7109 | 2,473,367,848 | I_kwDODunzps6TbJko | 7,109 | ConnectionError for gated datasets and unauthenticated users | {
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"followers_url": "https://api.g... | MEMBER | [] | null | null | null | null | Since the Hub returns dataset info for gated datasets and unauthenticated users, there is dead code: https://github.com/huggingface/datasets/blob/98fdc9e78e6d057ca66e58a37f49d6618aab8130/src/datasets/load.py#L1846-L1852
We should remove the dead code and properly handle this case: currently we are raising a `Connect... | {
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https://api.github.com/repos/huggingface/datasets/issues/7108 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7108/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7108/comments | https://api.github.com/repos/huggingface/datasets/issues/7108/events | https://github.com/huggingface/datasets/issues/7108 | 2,470,665,327 | I_kwDODunzps6TQ1xv | 7,108 | website broken: Create a new dataset repository, doesn't create a new repo in Firefox | {
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"I don't reproduce, I was able to create a new repo: https://huggingface.co/datasets/severo/reproduce-datasets-issues-7108. Can you confirm it's still broken?",
"I have just tried again.\r\n\r\nFirefox: The `Create dataset` doesn't work. It has worked in the past. It's my preferred browser.\r\n\r\nChrome: The `Cr... | 2024-08-16 17:23:00 | 2024-08-19 13:21:12 | 2024-08-19 06:52:48 | null | NONE | [] | null | null | null | null | ### Describe the bug
This issue is also reported here:
https://discuss.huggingface.co/t/create-a-new-dataset-repository-broken-page/102644
This page is broken.
https://huggingface.co/new-dataset
I fill in the form with my text, and click `Create Dataset`.
![Screenshot 2024-08-16 at 15 55 37](https://github.... | {
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https://api.github.com/repos/huggingface/datasets/issues/7107 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7107/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7107/comments | https://api.github.com/repos/huggingface/datasets/issues/7107/events | https://github.com/huggingface/datasets/issues/7107 | 2,470,444,732 | I_kwDODunzps6TP_68 | 7,107 | load_dataset broken in 2.21.0 | {
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"There seems to be a PR related to the load_dataset path that went into 2.21.0 -- https://github.com/huggingface/datasets/pull/6862/files\r\n\r\nTaking a look at it now",
"+1\r\n\r\nDowngrading to 2.20.0 fixed my issue, hopefully helpful for others.",
"I tried adding a simple test to `test_load.py` with the alp... | 2024-08-16 14:59:51 | 2024-08-18 09:28:43 | 2024-08-18 09:27:12 | null | NONE | [] | null | null | null | null | ### Describe the bug
`eval_set = datasets.load_dataset("tatsu-lab/alpaca_eval", "alpaca_eval_gpt4_baseline", trust_remote_code=True)`
used to work till 2.20.0 but doesn't work in 2.21.0
In 2.20.0:
![Screenshot 2024-08-16 at 3 57 10 PM](https://github.com/user-attachments/assets/0516489b-8187-486d-bee8-88af3381de... | {
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https://api.github.com/repos/huggingface/datasets/issues/7102 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7102/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7102/comments | https://api.github.com/repos/huggingface/datasets/issues/7102/events | https://github.com/huggingface/datasets/issues/7102 | 2,466,893,106 | I_kwDODunzps6TCc0y | 7,102 | Slow iteration speeds when using IterableDataset.shuffle with load_dataset(data_files=..., streaming=True) | {
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"Hi @lajd , I was skeptical about how we are saving the shards each as their own dataset (arrow file) in the script above, and so I updated the script to try out saving the shards in a few different file formats. From the experiments I ran, I saw binary format show significantly the best performance, with arrow a... | 2024-08-14 21:44:44 | 2024-08-15 16:17:31 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
When I load a dataset from a number of arrow files, as in:
```
random_dataset = load_dataset(
"arrow",
data_files={split: shard_filepaths},
streaming=True,
split=split,
)
```
I'm able to get fast iteration speeds when iterating over the dataset without shuffling.
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7101 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7101/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7101/comments | https://api.github.com/repos/huggingface/datasets/issues/7101/events | https://github.com/huggingface/datasets/issues/7101 | 2,466,510,783 | I_kwDODunzps6TA_e_ | 7,101 | `load_dataset` from Hub with `name` to specify `config` using incorrect builder type when multiple data formats are present | {
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"Having looked into this further it seems the core of the issue is with two different formats in the same repo.\r\n\r\nWhen the `parquet` config is first, the `WebDataset`s are loaded as `parquet`, if the `WebDataset` configs are first, the `parquet` is loaded as `WebDataset`.\r\n\r\nA workaround in my case would b... | 2024-08-14 18:12:25 | 2024-08-18 10:33:38 | null | null | NONE | [] | null | null | null | null | Following [documentation](https://huggingface.co/docs/datasets/repository_structure#define-your-splits-and-subsets-in-yaml) I had defined different configs for [`Dataception`](https://huggingface.co/datasets/bigdata-pw/Dataception), a dataset of datasets:
```yaml
configs:
- config_name: dataception
data_files:
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7100 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7100/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7100/comments | https://api.github.com/repos/huggingface/datasets/issues/7100/events | https://github.com/huggingface/datasets/issues/7100 | 2,465,529,414 | I_kwDODunzps6S9P5G | 7,100 | IterableDataset: cannot resolve features from list of numpy arrays | {
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"Assign this issue to me under Hacktoberfest with hacktoberfest label inserted on the issue"
] | 2024-08-14 11:01:51 | 2024-10-03 05:47:23 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
when resolve features of `IterableDataset`, got `pyarrow.lib.ArrowInvalid: Can only convert 1-dimensional array values` error.
```
Traceback (most recent call last):
File "test.py", line 6
iter_ds = iter_ds._resolve_features()
File "lib/python3.10/site-packages/datasets/iterable_dat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7097 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7097/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7097/comments | https://api.github.com/repos/huggingface/datasets/issues/7097/events | https://github.com/huggingface/datasets/issues/7097 | 2,458,455,489 | I_kwDODunzps6SiQ3B | 7,097 | Some of DownloadConfig's properties are always being overridden in load.py | {
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The `extract_compressed_file` and `force_extract` properties of DownloadConfig are always being set to True in the function `dataset_module_factory` in the `load.py` file. This behavior is very annoying because data extracted will just be ignored the next time the dataset is loaded.
See this im... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7093 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7093/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7093/comments | https://api.github.com/repos/huggingface/datasets/issues/7093/events | https://github.com/huggingface/datasets/issues/7093 | 2,454,413,074 | I_kwDODunzps6SS18S | 7,093 | Add Arabic Docs to datasets | {
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... | open | false | [] | null | [] | 2024-08-07 21:48:05 | 2024-08-07 21:48:05 | null | null | NONE | [] | null | null | null | null | ### Feature request
Add Arabic Docs to datasets
[Datasets Arabic](https://github.com/AhmedAlmaghz/datasets/blob/main/docs/source/ar/index.mdx)
### Motivation
@AhmedAlmaghz
https://github.com/AhmedAlmaghz/datasets/blob/main/docs/source/ar/index.mdx
### Your contribution
@AhmedAlmaghz
https://github.com/AhmedAlma... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7092 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7092/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7092/comments | https://api.github.com/repos/huggingface/datasets/issues/7092/events | https://github.com/huggingface/datasets/issues/7092 | 2,451,393,658 | I_kwDODunzps6SHUx6 | 7,092 | load_dataset with multiple jsonlines files interprets datastructure too early | {
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"I’ll take a look",
"Possible definitions of done for this issue:\r\n\r\n1. A fix so you can load your dataset specifically\r\n2. A general fix for datasets similar to this in the `datasets` library\r\n\r\nOption 1 is trivial. I think option 2 requires significant changes to the library.\r\n\r\nSince you outlined... | 2024-08-06 17:42:55 | 2024-08-08 16:35:01 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
likely related to #6460
using `datasets.load_dataset("json", data_dir= ... )` with multiple `.jsonl` files will error if one of the files (maybe the first file?) contains a full column of empty data.
### Steps to reproduce the bug
real world example:
data is available in this [PR-bra... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7090 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7090/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7090/comments | https://api.github.com/repos/huggingface/datasets/issues/7090/events | https://github.com/huggingface/datasets/issues/7090 | 2,449,699,490 | I_kwDODunzps6SA3Ki | 7,090 | The test test_move_script_doesnt_change_hash fails because it runs the 'python' command while the python executable has a different name | {
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"#self-assign"
] | 2024-08-06 00:35:05 | 2026-08-16 15:56:28 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
Tests should use the same pythin path as they are launched with, which in the case of FreeBSD is /usr/local/bin/python3.11
Failure:
```
if err_filename is not None:
> raise child_exception_type(errno_num, err_msg, err_filename)
E FileNotFo... | null | {
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"#self-assign"
] | 2024-08-05 21:05:11 | 2026-08-16 15:56:26 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
see the subject
### Steps to reproduce the bug
regular tests
### Expected behavior
n/a
### Environment info
version 2.20.0 | null | {
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... | open | false | [] | null | [] | 2024-08-05 00:45:50 | 2024-08-05 00:45:50 | null | null | NONE | [] | null | null | null | null | ### Feature request
If we write this code:
```python
"""Get data and define datasets."""
from enum import StrEnum
from datasets import load_dataset
from torch.utils.data import DataLoader
from torchvision import transforms
class Split(StrEnum):
"""Describes what type of split to use in the dataloa... | null | {
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"Thanks for reporting.\r\n\r\nIt is weird, because the language entry is in the list. See: https://github.com/huggingface/huggingface.js/blob/98e32f0ed4ee057a596f66a1dec738e5db9643d5/packages/languages/src/languages_iso_639_3.ts#L15186-L15189\r\n\r\nI have reported the issue:\r\n- https://github.com/huggingface/hug... | 2024-08-04 14:27:04 | 2024-08-06 06:59:23 | 2024-08-06 06:59:22 | {
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While I was creating the dataset which contained all documents from the Lushootseed Wikipedia, the dataset card asked me to enter which language the dataset was in. Since Lushootseed is a critically endangered language, it was not available as one of the options. Is it possible to allow entering la... | {
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"I'm having the same issue - running into rate limits when doing hyperparameter tuning even though the dataset is supposed to be cached. I feel like this behaviour should at the very least be documented, but honestly you should just not be running into rate limits in the first place when the dataset is cached. It e... | 2024-08-02 18:12:23 | 2025-11-21 10:05:10 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
I have been running lm-eval-harness a lot which has results in an API rate limit. This seems strange, since all of the data should be cached locally. I have in fact verified this.
### Steps to reproduce the bug
1. Be Me
2. Run `load_dataset("TAUR-Lab/MuSR")`
3. Hit rate limit error
4. Dataset... | null | {
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"@lhoestq I detected this regression over on [DataDreamer](https://github.com/datadreamer-dev/DataDreamer)'s test suite. I put in these [monkey patches](https://github.com/datadreamer-dev/DataDreamer/blob/4cbaf9f39cf7bedde72bbaa68346e169788fbecb/src/_patches/datasets_reset_state_hack.py) in case that fixed it our t... | 2024-07-31 13:01:59 | 2024-08-22 14:49:37 | 2024-08-22 14:49:07 | {
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In the latest version of datasets there is a major regression, after creating an `IterableDataset` from a generator and applying a few operations (`map`, `select`), you can no longer iterate through the dataset multiple times.
The issue seems to stem from the recent addition of "resumable Itera... | {
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... | open | false | [] | null | [] | 2024-07-31 09:03:15 | 2024-07-31 09:05:58 | null | null | CONTRIBUTOR | [] | null | null | null | null | ### Feature request
Simplify downloading and streaming datasets locally. Specifically, perhaps add an option to `load_dataset(..., streaming="download_first")` or add better support for streaming symlinked or arrow files.
### Motivation
I have downloaded FineWeb-edu locally and currently trying to stream the d... | null | {
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"@alexanderswerdlow \r\nWhen no specific split is mentioned, the load_dataset library will load all available splits of the dataset. For example, if a dataset has \"train\" and \"test\" splits, the load_dataset function will load both into the DatasetDict object.\r\n\r\n![image](https://github.com/user-attachments/... | 2024-07-29 01:42:43 | 2024-10-02 15:31:22 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
Loading a simple webdataset takes ~45 minutes.
### Steps to reproduce the bug
```
from datasets import load_dataset
dataset = load_dataset("PixArt-alpha/SAM-LLaVA-Captions10M")
```
### Expected behavior
The dataset should load immediately as it does when loaded through a normal indexed WebD... | null | {
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"same issue here. @albertvillanova @lhoestq ",
"Also impacted by this issue in many of my datasets (though not all) - in my case, this also seems to affect datasets that have been updated recently. Git cloning and the web interface still work:\r\n- https://huggingface.co/api/datasets/acmc/cheat_reduced\r\n- https... | 2024-07-27 08:21:03 | 2024-09-20 13:26:25 | 2024-07-27 19:52:30 | null | NONE | [] | null | null | null | null | ### Describe the bug
newly uploaded datasets, since yesterday, yields an error.
old datasets, works fine.
Seems like the datasets api server returns a 500
I'm getting the same error, when I invoke `load_dataset` with my dataset.
Long discussion about it here, but I'm not sure anyone from huggingface have s... | {
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"I confirm that `column_names` values are not copied to `names` variable because in this case `CsvConfig.__post_init__` is not called: `CsvConfig` is instantiated with default values and afterwards the `config_kwargs` are used to overwrite its attributes.\r\n\r\n@luismsgomes in the meantime, you can avoid the bug i... | 2024-07-26 14:18:04 | 2024-07-30 07:52:26 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
load_dataset() ignores the column_names kwarg when loading a CSV file. Instead, it uses whatever values are on the first line of the file.
### Steps to reproduce the bug
Call `load_dataset` to load data from a CSV file and specify `column_names` kwarg.
### Expected behavior
The resulting da... | null | {
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"Any recent change in the API backend rejecting parameter `revision=\"refs/pr/1\"` to `HfApi.preupload_lfs_files`?\r\n```\r\nf\"{endpoint}/api/{repo_type}s/{repo_id}/preupload/{revision}\"\r\n\r\nhttps://hub-ci.huggingface.co/api/datasets/__DUMMY_TRANSFORMERS_USER__/test-dataset-5188a8-17219154347516/preupload/refs... | 2024-07-26 08:27:41 | 2024-07-27 05:48:02 | 2024-07-26 09:16:13 | {
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```
FAILED tests/test_hub.py::test_convert_to_parquet - huggingface_hub.utils._errors.RevisionNotFoundError: 404 Client Error. (Request ID: Root=1-66a25839-31ce7b475e70e7db1e4d44c2;b0c8870f-d5ef-4bf2-a6ff-0191f3df0f64)
Revision N... | {
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https://api.github.com/repos/huggingface/datasets/issues/7071 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7071/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7071/comments | https://api.github.com/repos/huggingface/datasets/issues/7071/events | https://github.com/huggingface/datasets/issues/7071 | 2,430,313,011 | I_kwDODunzps6Q26Iz | 7,071 | Filter hangs | {
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When trying to filter my custom dataset, the process hangs, regardless of the lambda function used. It appears to be an issue with the way the Images are being handled. The dataset in question is a preprocessed version of https://huggingface.co/datasets/danaaubakirova/patfig where notably, I hav... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7070 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7070/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7070/comments | https://api.github.com/repos/huggingface/datasets/issues/7070/events | https://github.com/huggingface/datasets/issues/7070 | 2,430,285,235 | I_kwDODunzps6Q2zWz | 7,070 | how set_transform affects batch size? | {
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I am trying to fine-tune w2v-bert for ASR task. Since my dataset is so big, I preferred to use the on-the-fly method with set_transform. So i change the preprocessing function to this:
```
def prepare_dataset(batch):
input_features = processor(batch["audio"], sampling_rate=16000).input_feat... | null | {
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"Many users have encountered the same issue, which has caused inconvenience.\r\n\r\nhttps://discuss.huggingface.co/t/convert-to-parquet-fails-for-datasets-with-multiple-configs/86733\r\n",
"Thanks for reporting.\r\n\r\nI will make the code more robust.",
"I have opened an issue in the huggingface-hub repo:\r\n-... | 2024-07-23 15:09:33 | 2024-07-30 10:51:02 | 2024-07-30 10:51:02 | {
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... | {
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https://api.github.com/repos/huggingface/datasets/issues/7066 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7066/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7066/comments | https://api.github.com/repos/huggingface/datasets/issues/7066/events | https://github.com/huggingface/datasets/issues/7066 | 2,425,125,160 | I_kwDODunzps6QjHko | 7,066 | One subset per file in repo ? | {
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"Hi @lhoestq! I’ve opened a PR that addresses this issue"
] | 2024-07-23 12:43:59 | 2025-06-26 08:24:50 | null | null | MEMBER | [] | null | null | null | null | Right now we consider all the files of a dataset to be the same data, e.g.
```
single_subset_dataset/
├── train0.jsonl
├── train1.jsonl
└── train2.jsonl
```
but in cases like this, each file is actually a different subset of the dataset and should be loaded separately
```
many_subsets_dataset/
├── animals.jso... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7065 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7065/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7065/comments | https://api.github.com/repos/huggingface/datasets/issues/7065/events | https://github.com/huggingface/datasets/issues/7065 | 2,424,734,953 | I_kwDODunzps6QhoTp | 7,065 | Cannot get item after loading from disk and then converting to iterable. | {
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The dataset generated from local file works fine.
```py
root = "/home/data/train"
file_list1 = glob(os.path.join(root, "*part1.flac"))
file_list2 = glob(os.path.join(root, "*part2.flac"))
ds = (
Dataset.from_dict({"part1": file_list1, "part2": file_list2})
.cast_column("part1", Au... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7063 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7063/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7063/comments | https://api.github.com/repos/huggingface/datasets/issues/7063/events | https://github.com/huggingface/datasets/issues/7063 | 2,424,488,648 | I_kwDODunzps6QgsLI | 7,063 | Add `batch` method to `Dataset` | {
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... | closed | false | [] | null | [] | 2024-07-23 07:36:59 | 2024-07-25 13:45:21 | 2024-07-25 13:45:21 | null | CONTRIBUTOR | [] | null | null | null | null | ### Feature request
Add a `batch` method to the Dataset class, similar to the one recently implemented for `IterableDataset` in PR #7054.
### Motivation
A batched iteration speeds up data loading significantly (see e.g. #6279)
### Your contribution
I plan to open a PR to implement this. | {
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https://api.github.com/repos/huggingface/datasets/issues/7061 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7061/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7061/comments | https://api.github.com/repos/huggingface/datasets/issues/7061/events | https://github.com/huggingface/datasets/issues/7061 | 2,423,786,881 | I_kwDODunzps6QeA2B | 7,061 | Custom Dataset | Still Raise Error while handling errors in _generate_examples | {
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I follow this [example](https://discuss.huggingface.co/t/error-handling-in-iterabledataset/72827/3) to handle errors in custom dataset. I am writing a dataset script which read jsonl files and i need to handle errors and continue reading files without raising exception and exit the execution.
`... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7059 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7059/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7059/comments | https://api.github.com/repos/huggingface/datasets/issues/7059/events | https://github.com/huggingface/datasets/issues/7059 | 2,422,827,892 | I_kwDODunzps6QaWt0 | 7,059 | None values are skipped when reading jsonl in subobjects | {
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I have been fighting against my machine since this morning only to find out this is some kind of a bug.
When loading a dataset composed of `metadata.jsonl`, if you have nullable values (Optional[str]), they can be ignored by the parser, shifting things around.
E.g., let's take this example
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7058 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7058/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7058/comments | https://api.github.com/repos/huggingface/datasets/issues/7058/events | https://github.com/huggingface/datasets/issues/7058 | 2,422,560,355 | I_kwDODunzps6QZVZj | 7,058 | New feature type: Document | {
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https://github.com/huggingface/dataset-viewer/issues/2991#issuecomment-2242656069 | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7055 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7055/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7055/comments | https://api.github.com/repos/huggingface/datasets/issues/7055/events | https://github.com/huggingface/datasets/issues/7055 | 2,421,708,891 | I_kwDODunzps6QWFhb | 7,055 | WebDataset with different prefixes are unsupported | {
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"Since `datasets` uses is built on Arrow to store the data, it requires each sample to have the same columns.\r\n\r\nThis can be fixed by specifyign in advance the name of all the possible columns in the `dataset_info` in YAML, and missing values will be `None`",
"Thanks. This currently doesn't work for WebDatase... | 2024-07-22 01:14:19 | 2024-07-24 13:26:30 | 2024-07-23 13:28:46 | null | NONE | [] | null | null | null | null | ### Describe the bug
Consider a WebDataset with multiple images for each item where the number of images may vary: [example](https://huggingface.co/datasets/bigdata-pw/fashion-150k)
Due to this [code](https://github.com/huggingface/datasets/blob/87f4c2088854ff33e817e724e75179e9975c1b02/src/datasets/packaged_modules... | {
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https://api.github.com/repos/huggingface/datasets/issues/7053 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7053/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7053/comments | https://api.github.com/repos/huggingface/datasets/issues/7053/events | https://github.com/huggingface/datasets/issues/7053 | 2,416,423,791 | I_kwDODunzps6QB7Nv | 7,053 | Datasets.datafiles resolve_pattern `TypeError: can only concatenate tuple (not "str") to tuple` | {
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"Hi,\r\n\r\nThis issue was fixed in `datasets` 2.15.0:\r\n- #6105\r\n\r\nYou will need to update your `datasets`:\r\n```\r\npip install -U datasets\r\n```",
"Duplicate of:\r\n- #6100"
] | 2024-07-18 13:42:35 | 2024-07-18 15:17:42 | 2024-07-18 15:16:18 | {
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in data_files.py, line 332,
`fs, _, _ = get_fs_token_paths(pattern, storage_options=storage_options)`
If we run the code on AWS, as fs.protocol will be a tuple like: `('file', 'local')`
So, `isinstance(fs.protocol, str) == False` and
`protocol_prefix = fs.protocol + "://" if fs.protocol != ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7051 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7051/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7051/comments | https://api.github.com/repos/huggingface/datasets/issues/7051/events | https://github.com/huggingface/datasets/issues/7051 | 2,409,353,929 | I_kwDODunzps6Pm9LJ | 7,051 | How to set_epoch with interleave_datasets? | {
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"This is not possible right now afaik :/\r\n\r\nMaybe we could have something like this ? wdyt ?\r\n\r\n```python\r\nds = interleave_datasets(\r\n [shuffled_dataset_a, dataset_b],\r\n probabilities=probabilities,\r\n stopping_strategy='all_exhausted',\r\n reshuffle_each_iteration=True,\r\n)",
"That wo... | 2024-07-15 18:24:52 | 2024-08-05 20:58:04 | 2024-08-05 20:58:04 | null | NONE | [] | null | null | null | null | Let's say I have dataset A which has 100k examples, and dataset B which has 100m examples.
I want to train on an interleaved dataset of A+B, with stopping_strategy='all_exhausted' so dataset B doesn't repeat any examples. But every time A is exhausted I want it to be reshuffled (eg. calling set_epoch)
Of course I... | {
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https://api.github.com/repos/huggingface/datasets/issues/7049 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7049/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7049/comments | https://api.github.com/repos/huggingface/datasets/issues/7049/events | https://github.com/huggingface/datasets/issues/7049 | 2,408,514,366 | I_kwDODunzps6PjwM- | 7,049 | Save nparray as list | {
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"In addition, when I use `set_format ` and index the ds, the following error occurs:\r\nthe code\r\n```python\r\nds.set_format(type=\"np\", colums=\"pixel_values\")\r\n```\r\nerror\r\n<img width=\"918\" alt=\"image\" src=\"https://github.com/user-attachments/assets/b28bbff2-20ea-4d28-ab62-b4ed2d944996\">\r\n",
">... | 2024-07-15 11:36:11 | 2024-07-18 11:33:34 | 2024-07-18 11:33:34 | null | NONE | [] | null | null | null | null | ### Describe the bug
When I use the `map` function to convert images into features, datasets saves nparray as a list. Some people use the `set_format` function to convert the column back, but doesn't this lose precision?
### Steps to reproduce the bug
the map function
```python
def convert_image_to_features(inst, ... | {
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https://api.github.com/repos/huggingface/datasets/issues/7048 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7048/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7048/comments | https://api.github.com/repos/huggingface/datasets/issues/7048/events | https://github.com/huggingface/datasets/issues/7048 | 2,408,487,547 | I_kwDODunzps6Pjpp7 | 7,048 | ImportError: numpy.core.multiarray when using `filter` | {
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"Could you please check your `numpy` version?",
"I got this issue while using numpy version 2.0. \r\n\r\nI solved it by switching back to numpy 1.26.0 :) ",
"We recently added support for numpy 2.0, but it is not released yet.",
"Ok I see, thanks! I think we can close this issue for now as switching back to v... | 2024-07-15 11:21:04 | 2024-07-16 10:11:25 | 2024-07-16 10:11:25 | null | NONE | [] | null | null | null | null | ### Describe the bug
I can't apply the filter method on my dataset.
### Steps to reproduce the bug
The following snippet generates a bug:
```python
from datasets import load_dataset
ami = load_dataset('kamilakesbi/ami', 'ihm')
ami['train'].filter(
lambda example: example["file_name"] == 'EN2001a'
... | {
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https://api.github.com/repos/huggingface/datasets/issues/7047 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7047/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7047/comments | https://api.github.com/repos/huggingface/datasets/issues/7047/events | https://github.com/huggingface/datasets/issues/7047 | 2,406,495,084 | I_kwDODunzps6PcDNs | 7,047 | Save Dataset as Sharded Parquet | {
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"To anyone else who finds themselves in this predicament, it's possible to read the parquet file in the same way that datasets writes it, and then manually break it into pieces. Although, you need a couple of magic options (`thrift_*`) to deal with the huge metadata, otherwise pyarrow immediately crashes.\r\n```pyt... | 2024-07-12 23:47:51 | 2026-01-11 20:03:20 | null | null | NONE | [] | null | null | null | null | ### Feature request
`to_parquet` currently saves the dataset as one massive, monolithic parquet file, rather than as several small parquet files. It should shard large datasets automatically.
### Motivation
This default behavior makes me very sad because a program I ran for 6 hours saved its results using `to_... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7041 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7041/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7041/comments | https://api.github.com/repos/huggingface/datasets/issues/7041/events | https://github.com/huggingface/datasets/issues/7041 | 2,404,576,038 | I_kwDODunzps6PUusm | 7,041 | `sort` after `filter` unreasonably slow | {
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"`filter` add an indices mapping on top of the dataset, so `sort` has to gather all the rows that are kept to form a new Arrow table and sort the table. Gathering all the rows can take some time, but is a necessary step. You can try calling `ds = ds.flatten_indices()` before sorting to remove the indices mapping.",... | 2024-07-12 03:29:27 | 2025-04-29 09:49:25 | 2025-04-29 09:49:25 | null | NONE | [] | null | null | null | null | ### Describe the bug
as the tittle says ...
### Steps to reproduce the bug
`sort` seems to be normal.
```python
from datasets import Dataset
import random
nums = [{"k":random.choice(range(0,1000))} for _ in range(100000)]
ds = Dataset.from_list(nums)
print("start sort")
ds = ds.sort("k")
print("f... | {
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https://api.github.com/repos/huggingface/datasets/issues/7040 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7040/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7040/comments | https://api.github.com/repos/huggingface/datasets/issues/7040/events | https://github.com/huggingface/datasets/issues/7040 | 2,402,918,335 | I_kwDODunzps6POZ-_ | 7,040 | load `streaming=True` dataset with downloaded cache | {
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"When you pass `streaming=True`, the cache is ignored. The remote data URL is used instead and the data is streamed from the remote server.",
"Thanks for your reply! So is there any solution to get my expected behavior besides clone the whole repo ? Or could I adjust my script to load the downloaded arrow files a... | 2024-07-11 11:14:13 | 2024-07-11 14:11:56 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
We build a dataset which contains several hdf5 files and write a script using `h5py` to generate the dataset. The hdf5 files are large and the processed dataset cache takes more disk space. So we hope to try streaming iterable dataset. Unfortunately, `h5py` can't convert a remote URL into a hdf5 f... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/7037 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7037/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7037/comments | https://api.github.com/repos/huggingface/datasets/issues/7037/events | https://github.com/huggingface/datasets/issues/7037 | 2,400,192,419 | I_kwDODunzps6PEAej | 7,037 | A bug of Dataset.to_json() function | {
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"Thanks for reporting, @LinglingGreat.\r\n\r\nI confirm this is a bug.",
"@albertvillanova I would like to take a shot at this if you aren't working on it currently. Let me know!",
"Found the bug — to_json(lines=False) was concatenating batch JSON arrays directly, producing [...][...]... which isn't valid. Fixe... | 2024-07-10 09:11:22 | 2026-07-09 19:55:26 | null | {
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When using the Dataset.to_json() function, an unexpected error occurs if the parameter is set to lines=False. The stored data should be in the form of a list, but it actually turns into multiple lists, which causes an error when reading the data again.
The reason is that to_json() writes to the f... | null | {
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```python
def call_function(split=Split.TRAIN):
...
```
The error is: ValueError: Equality not supported between split train and <class 'inspect._empty'>
See: https://github.com/huggingface/datasets/action... | {
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https://api.github.com/repos/huggingface/datasets/issues/7033 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/7033/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/7033/comments | https://api.github.com/repos/huggingface/datasets/issues/7033/events | https://github.com/huggingface/datasets/issues/7033 | 2,397,419,768 | I_kwDODunzps6O5bj4 | 7,033 | `from_generator` does not allow to specify the split name | {
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"Thanks for reporting, @pminervini.\r\n\r\nI agree we should give the option to define the split name.\r\n\r\nIndeed, there is a PR that addresses precisely this issue:\r\n- #7015\r\n\r\nI am reviewing it.",
"Booom! thank you guys :)"
] | 2024-07-09 07:47:58 | 2024-07-26 12:56:16 | 2024-07-26 09:31:56 | null | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
I'm building train, dev, and test using `from_generator`; however, in all three cases, the logger prints `Generating train split:`
It's not possible to change the split name since it seems to be hardcoded: https://github.com/huggingface/datasets/blob/main/src/datasets/packaged_modules/generator/g... | {
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```
error: `ruff <path>` has been removed. Use `ruff check <path>` instead.
``` | {
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"You can disable progress bars for all of `datasets` with `disable_progress_bars`. [Link](https://huggingface.co/docs/datasets/en/package_reference/utilities#datasets.enable_progress_bars)\r\n\r\nSo you could do something like:\r\n\r\n```python\r\nfrom datasets import load_from_disk, enable_progress_bars, disable_p... | 2024-07-06 05:43:37 | 2024-07-13 14:35:59 | 2024-07-13 14:35:59 | null | NONE | [] | null | null | null | null | ### Feature request
Add an option in load_from_disk to disable the progress bar even if the number of files is larger than 16.
### Motivation
I am reading a lot of datasets that it creates lots of logs.
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"hi ! can you share the full stack trace ? this should help locate what files is not written in the cache_dir"
] | 2024-07-04 19:15:16 | 2024-07-17 12:44:03 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
I'm using AWS lambda to run a python application. I run the `load_dataset` function with cache_dir="/tmp" and is still throws the OSError(30, 'Read-only file system') error. Is even updated all the HF envs to point to /tmp dir but the issue still persists. I can confirm that the I can write to /... | null | {
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I'm deciding to post here because I'm still not sure what the issue is, or if I am using IterableDatasets wrongly.
I'm following the guide on here https://huggingface.co/learn/cookbook/en/fine_tuning_code_llm_on_single_gpu pretty much to a tee and have verified that it works when I'm fine-tuning ... | null | {
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However, we require pyarrow >= 15.0.0 since the merge of PR:
- #6892
Those code lines are now dead code and should be removed. | {
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> AttributeError: 'pyarrow.lib.FixedSizeListType' object has no attribute 'length'
Steps to reproduce the bug:
```python
import pyarrow as pa
from datasets.table import array_cast
arr = pa.array([[0, 1]])
array_cast(arr, pa.lis... | {
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"In my case the error was:\r\n```\r\nValueError: You are trying to load a dataset that was saved using `save_to_disk`. Please use `load_from_disk` instead.\r\n```\r\nDid you try `load_from_disk`?",
"More generally, any reason there is no API consistency between save_to_disk and push_to_hub ? \r\n\r\nWould be nice... | 2024-07-01 12:19:19 | 2025-11-11 05:03:18 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
This code fails to load the dataset it just saved:
```python
from datasets import load_dataset
from transformers import AutoTokenizer
MODEL = "google-bert/bert-base-cased"
tokenizer = AutoTokenizer.from_pretrained(MODEL)
dataset = load_dataset("yelp_review_full")
def tokenize_functi... | null | {
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"There is an open issue #2514 about this which also proposes solutions."
] | 2024-07-01 09:01:06 | 2024-07-20 06:51:58 | null | null | NONE | [] | null | null | null | null | ### Feature request
`drop_duplicates` method for huggingface datasets (similiar in simplicity to the `pandas` one)
### Motivation
Ease of use
### Your contribution
I don't think i am good enough to help | null | {
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See: https://github.com/huggingface/datasets/actions/runs/9712659783
```
test (integration, windows-latest, deps-minimum)
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- #6876
Note that this can only be done once transformers releases the fix:
- https://github.com/huggingface/transformers/pull/31007 | {
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Also revert:
- #7007 | {
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See: https://github.com/huggingface/datasets/actions/runs/9707641618/job/26793170961?pr=6983
> src/datasets/features/features.py:844:12: E721 Use `is` and `is not` for type comparisons, or `isinstanc... | {
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"Hi ! `data_dir=` is for directories, can you try using `data_files=` instead ?",
"If you are trying to load your image dataset from a local folder, you should replace \"data_dir=path/to/jsonl/metadata.jsonl\" with the real folder path in your computer.\r\n\r\nhttps://huggingface.co/docs/datasets/en/image_load#im... | 2024-06-27 15:08:26 | 2024-06-28 09:56:19 | 2024-06-28 09:56:19 | null | NONE | [] | null | null | null | null | ### Describe the bug
while trying to load custom dataset from jsonl file, I get the error: "metadata.jsonl doesn't contain any data files"
### Steps to reproduce the bug
This is my [metadata_v2.jsonl](https://github.com/user-attachments/files/16016011/metadata_v2.json) file. I have this file in the folder with all ... | {
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"Ok it seems the solution is to use the directory string without the trailing \"/\" which in my case as: \r\n\r\n`parquet_dir = \"~/data/Parquet\" `\r\n\r\nStill i think this is a weird behavior... "
] | 2024-06-25 15:02:34 | 2024-06-25 15:21:19 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
So I was trying to download a dataset and save it as parquet and I follow the [tutorial](https://huggingface.co/docs/datasets/filesystems#download-and-prepare-a-dataset-into-a-cloud-storage) of Huggingface. However, during the excution I face a FileNotFoundError.
I debug the code and it seems... | null | {
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"@lhoestq Thank you for merging #6607, but unfortunately the issue persists for `IterableDataset` :pensive: ",
"Hi ! I opened https://github.com/huggingface/datasets/pull/7002 to fix this bug",
"Amazing, thank you so much @lhoestq! :pray:"
] | 2024-06-25 14:43:26 | 2024-06-25 16:04:00 | 2024-06-25 15:51:53 | null | NONE | [] | null | null | null | null | ### Describe the bug
`IterableDataset.from_generator` crashes when using BFloat16:
```
File "/usr/local/lib/python3.11/site-packages/datasets/utils/_dill.py", line 169, in _save_torchTensor
args = (obj.detach().cpu().numpy(),)
^^^^^^^^^^^^^^^^^^^^^^^^^^
TypeError: Got unsupported ScalarType ... | {
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```
FAILED tests/test_inspect.py::test_get_dataset_config_names[hf-internal-testing/librispeech_asr_dummy-expected4] - AssertionError: assert ['clean'] == ['clean', 'other']
Right contains one more item: 'othe... | {
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"What is the version of your installed `huggingface-hub`:\r\n```python\r\nimport huggingface_hub\r\nprint(huggingface_hub.__version__)\r\n```\r\n\r\nIt seems you have a very old version of `huggingface-hub`, where `CommitInfo` was not still implemented. You need to update it:\r\n```\r\npip install -U huggingface-hu... | 2024-06-24 17:07:22 | 2024-11-14 01:42:09 | 2024-06-25 06:11:37 | {
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I encountered an ImportError while trying to import `load_dataset` from the `datasets` module in Hugging Face. The error message indicates a problem with importing 'CommitInfo' from 'huggingface_hub'.
### Steps to reproduce the bug
1. pip install git+https://github.com/huggingface/datasets
2. f... | {
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"Hi ! can you try updating `datasets` and `huggingface_hub` ?\r\n\r\n```\r\npip install -U datasets huggingface_hub\r\n```"
] | 2024-06-22 16:12:08 | 2024-06-25 15:43:05 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
I'm currently trying to stream data using dataset since the dataset is too big but it hangs indefinitely without loading the first batch. I use AIMOS which is a supercomputer that uses proxy to connect to the internet. I assume it has to do with the network configurations. I've already set up both... | null | {
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"ah yes good catch ! feel free to open a PR with your suggested fix"
] | 2024-06-21 14:25:26 | 2024-06-25 16:19:19 | 2024-06-25 16:19:19 | null | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
I'm trying to split `IterableDataset` by `split_dataset_by_node`.
But when doing split on a already split dataset, the resulting `rank` is greater than `world_size`.
### Steps to reproduce the bug
Here is the minimal code for reproduction:
```py
>>> from datasets import load_dataset
>>... | {
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"Hey @simplew2011 I am curious if you know of a workaround, or possible implications of letting the code run?"
] | 2024-06-21 02:09:22 | 2025-01-29 11:44:04 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
- When reading dataset, a cache will be generated to the ~/. cache/huggingface/datasets directory
- When using .map and .filter operations, runtime cache will be generated to the /tmp/hf_datasets-* directory
- The default is to use the path of tempfile.tempdir
- If I modify this path to the N... | null | {
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"Please note that the error is raised just at import:\r\n```python\r\nimport pyarrow.parquet as pq\r\n```\r\n\r\nTherefore it must be caused by some problem with your pyarrow installation. I would recommend you uninstall and install pyarrow again.\r\n\r\nI also see that it seems you use conda to install pyarrow. Pl... | 2024-06-19 13:22:28 | 2025-03-14 18:47:53 | 2024-06-25 05:40:51 | null | NONE | [] | null | null | null | null | ### Describe the bug
I have been struggling with this for two days, any help would be appreciated. Python 3.10
```
from setfit import SetFitModel
from huggingface_hub import login
access_token_read = "cccxxxccc"
# Authenticate with the Hugging Face Hub
login(token=access_token_read)
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"Hi ! Thanks for reporting :)\r\n\r\nWe don't support `large_list` yet, though it should be added to `Sequence` IMO (maybe with a parameter `large=True` ?)"
] | 2024-06-19 11:38:48 | 2024-08-12 14:43:46 | 2024-08-12 14:43:46 | {
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This returns error.
```python
from datasets import Dataset
dsdf = Dataset.from_dict({"x": [[1, 2], [3, 4, 5]], "y": ["a", "b"]})
Dataset.from_polars(dsdf.to_polars())
```
ValueError: Arrow type large_list<item: int64> does not have a datasets dtype equivalent.
### Motivation
When datasets... | {
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https://api.github.com/repos/huggingface/datasets/issues/6982 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6982/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6982/comments | https://api.github.com/repos/huggingface/datasets/issues/6982/events | https://github.com/huggingface/datasets/issues/6982 | 2,361,661,469 | I_kwDODunzps6MxBgd | 6,982 | cannot split dataset when using load_dataset | {
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"it seems the bug will happened in all windows system, I tried it in windows8.1, 10, 11 and all of them failed. But it won't happened in the Linux(Ubuntu and Centos7) and Mac (both my virtual and physical machine). I still don't know what the problem is. May be related to the path? I cannot run the split file in m... | 2024-06-19 08:07:16 | 2024-07-08 06:20:16 | 2024-07-08 06:20:16 | null | NONE | [] | null | null | null | null | ### Describe the bug
when I use load_dataset methods to load mozilla-foundation/common_voice_7_0, it can successfully download and extracted the dataset but It cannot generating the arrow document,
This bug happened in my server, my laptop, so as #6906 , but it won't happen in the google colab. I work for it for da... | {
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https://api.github.com/repos/huggingface/datasets/issues/6980 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6980/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6980/comments | https://api.github.com/repos/huggingface/datasets/issues/6980/events | https://github.com/huggingface/datasets/issues/6980 | 2,360,909,930 | I_kwDODunzps6MuKBq | 6,980 | Support NumPy 2.0 | {
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... | closed | false | [] | null | [] | 2024-06-18 23:30:22 | 2024-07-12 12:04:54 | 2024-07-12 12:04:53 | null | CONTRIBUTOR | [] | null | null | null | null | ### Feature request
Support NumPy 2.0.
### Motivation
NumPy introduces the Array API, which bridges the gap between machine learning libraries. Many clients of HuggingFace are eager to start using the Array API.
Besides that, NumPy 2 provides a cleaner interface than NumPy 1.
### Tasks
NumPy 2.0 was ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6979 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6979/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6979/comments | https://api.github.com/repos/huggingface/datasets/issues/6979/events | https://github.com/huggingface/datasets/issues/6979 | 2,360,175,363 | I_kwDODunzps6MrWsD | 6,979 | How can I load partial parquet files only? | {
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"Hello,\r\n\r\nHave you tried loading the dataset in streaming mode? [Documentation](https://huggingface.co/docs/datasets/v2.20.0/stream)\r\n\r\nThis way you wouldn't have to load it all. Also, let's be nice to Parquet, it's a really nice technology and we don't need to be mean :)",
"I have downloaded part of it,... | 2024-06-18 15:44:16 | 2024-06-21 17:09:32 | 2024-06-21 13:32:50 | null | NONE | [] | null | null | null | null | I have a HUGE dataset about 14TB, I unable to download all parquet all. I just take about 100 from it.
dataset = load_dataset("xx/", data_files="data/train-001*-of-00314.parquet")
How can I just using 000 - 100 from a 00314 from all partially?
I search whole net didn't found a solution, **this is stupid if the... | {
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https://api.github.com/repos/huggingface/datasets/issues/6977 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6977/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6977/comments | https://api.github.com/repos/huggingface/datasets/issues/6977/events | https://github.com/huggingface/datasets/issues/6977 | 2,359,295,045 | I_kwDODunzps6Mn_xF | 6,977 | load json file error with v2.20.0 | {
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"Thanks for reporting, @xiaoyaolangzhi.\r\n\r\nIndeed, we are currently requiring `pandas` >= 2.0.0.\r\n\r\nYou will need to update pandas in your local environment:\r\n```\r\npip install -U pandas\r\n``` ",
"Thank you very much."
] | 2024-06-18 08:41:01 | 2024-06-18 10:06:10 | 2024-06-18 10:06:09 | {
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"followers_url": "https://api.g... | NONE | [] | null | null | null | null | ### Describe the bug
```
load_dataset(path="json", data_files="./test.json")
```
```
Generating train split: 0 examples [00:00, ? examples/s]
Traceback (most recent call last):
File "/usr/local/lib/python3.10/dist-packages/datasets/packaged_modules/json/json.py", line 132, in _generate_tables
pa_table = p... | {
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https://api.github.com/repos/huggingface/datasets/issues/6973 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6973/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6973/comments | https://api.github.com/repos/huggingface/datasets/issues/6973/events | https://github.com/huggingface/datasets/issues/6973 | 2,355,517,362 | I_kwDODunzps6MZley | 6,973 | IndexError during training with Squad dataset and T5-small model | {
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"add remove_unused_columns=False to training_args\r\nhttps://github.com/huggingface/datasets/issues/6535#issuecomment-1874024704",
"Closing this issue because it was a reported and fixed in transformers."
] | 2024-06-16 07:53:54 | 2024-07-01 11:25:40 | 2024-07-01 11:25:40 | null | NONE | [] | null | null | null | null | ### Describe the bug
I am encountering an IndexError while training a T5-small model on the Squad dataset using the transformers and datasets libraries. The error occurs even with a minimal reproducible example, suggesting a potential bug or incompatibility.
### Steps to reproduce the bug
1.Install the required libr... | {
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https://api.github.com/repos/huggingface/datasets/issues/6967 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6967/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6967/comments | https://api.github.com/repos/huggingface/datasets/issues/6967/events | https://github.com/huggingface/datasets/issues/6967 | 2,349,146,398 | I_kwDODunzps6MBSEe | 6,967 | Method to load Laion400m | {
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... | open | false | [] | null | [] | 2024-06-12 16:04:04 | 2024-06-12 16:04:04 | null | null | NONE | [] | null | null | null | null | ### Feature request
Large datasets like Laion400m are provided as embeddings. The provided methods in load_dataset are not straightforward for loading embedding files, i.e. img_emb_XX.npy ; XX = 0 to 99
### Motivation
The trial and experimentation is the key pivot of HF. It would be great if HF can load embeddings... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6961 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6961/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6961/comments | https://api.github.com/repos/huggingface/datasets/issues/6961/events | https://github.com/huggingface/datasets/issues/6961 | 2,342,022,418 | I_kwDODunzps6LmG0S | 6,961 | Manual downloads should count as downloads | {
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"We're unlikely to add more features/support for datasets with python loading scripts, which include datasets with manual download. Sorry for the inconvenience"
] | 2024-06-09 04:52:06 | 2024-06-13 16:05:00 | null | null | NONE | [] | null | null | null | null | ### Feature request
I would like to request that manual downloads of data files from Hugging Face dataset repositories count as downloads of a dataset. According to the documentation for the Hugging Face Hub, that is currently not the case: https://huggingface.co/docs/hub/en/datasets-download-stats
### Motivation
Th... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6958 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6958/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6958/comments | https://api.github.com/repos/huggingface/datasets/issues/6958/events | https://github.com/huggingface/datasets/issues/6958 | 2,337,476,383 | I_kwDODunzps6LUw8f | 6,958 | My Private Dataset doesn't exist on the Hub or cannot be accessed | {
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"I can load public dataset, but for my private dataset it fails",
"https://huggingface.co/docs/datasets/upload_dataset",
"I have checked the API HTTP link. Repository Not Found for url: https://huggingface.co/api/datasets/xxx/xxx.\r\n\r\n![image](https://github.com/huggingface/datasets/assets/39621324/4aceef59-... | 2024-06-06 06:52:19 | 2024-07-01 11:27:46 | 2024-07-01 11:27:46 | null | NONE | [] | null | null | null | null | ### Describe the bug
```
File "/root/miniconda3/envs/gino_conda/lib/python3.9/site-packages/datasets/load.py", line 1852, in dataset_module_factory
raise DatasetNotFoundError(msg + f" at revision '{revision}'" if revision else msg)
datasets.exceptions.DatasetNotFoundError: Dataset 'xxx' doesn't exist on t... | {
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"Canonical datasets are no longer mentioned in the docs."
] | 2024-06-04 12:09:03 | 2024-07-01 11:31:25 | 2024-07-01 11:31:25 | null | MEMBER | [] | null | null | null | null | Remove canonical datasets from docs, now that we no longer have canonical datasets. | {
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https://api.github.com/repos/huggingface/datasets/issues/6951 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6951/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6951/comments | https://api.github.com/repos/huggingface/datasets/issues/6951/events | https://github.com/huggingface/datasets/issues/6951 | 2,333,231,042 | I_kwDODunzps6LEkfC | 6,951 | load_dataset() should load all subsets, if no specific subset is specified | {
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"@xianbaoqian ",
"Feel free to open a PR in `m-a-p/COIG-CQIA` to define a default subset. Currently there is no default.\r\n\r\nYou can find some documentation at https://huggingface.co/docs/hub/datasets-manual-configuration#multiple-configurations",
"@lhoestq \r\n\r\nWhilst having a default subset readily avai... | 2024-06-04 11:02:33 | 2024-11-26 08:32:18 | 2024-07-01 11:33:10 | null | NONE | [] | null | null | null | null | ### Feature request
Currently load_dataset() is forcing users to specify a subset. Example
`from datasets import load_dataset
dataset = load_dataset("m-a-p/COIG-CQIA")`
```---------------------------------------------------------------------------
ValueError Traceback (most recen... | {
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https://api.github.com/repos/huggingface/datasets/issues/6950 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6950/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6950/comments | https://api.github.com/repos/huggingface/datasets/issues/6950/events | https://github.com/huggingface/datasets/issues/6950 | 2,333,005,974 | I_kwDODunzps6LDtiW | 6,950 | `Dataset.with_format` behaves inconsistently with documentation | {
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"Hi ! It seems the documentation was outdated in this paragraph\r\n\r\nI fixed it here: https://github.com/huggingface/datasets/pull/6956",
"Fixed."
] | 2024-06-04 09:18:32 | 2024-06-25 08:05:49 | 2024-06-25 08:05:49 | null | NONE | [] | null | null | null | null | ### Describe the bug
The actual behavior of the interface `Dataset.with_format` is inconsistent with the documentation.
https://huggingface.co/docs/datasets/use_with_pytorch#n-dimensional-arrays
https://huggingface.co/docs/datasets/v2.19.0/en/use_with_tensorflow#n-dimensional-arrays
> If your dataset consists of ... | {
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