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https://api.github.com/repos/huggingface/datasets/issues/6262 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6262/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6262/comments | https://api.github.com/repos/huggingface/datasets/issues/6262/events | https://github.com/huggingface/datasets/pull/6262 | 1,914,895,459 | PR_kwDODunzps5bTh6H | 6,262 | Fix CI 404 errors | {
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"body": "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after w... | 2023-09-27T07:40:18Z | 2023-09-28T15:39:16Z | 2023-09-28T15:30:40Z | MEMBER | null | null | null | Currently our CI usually raises 404 errors when trying to delete temporary repositories. See, e.g.: https://github.com/huggingface/datasets/actions/runs/6314980985/job/17146507884
```
FAILED tests/test_upstream_hub.py::TestPushToHub::test_push_dataset_dict_to_hub_multiple_files_with_max_shard_size - huggingface_hub.u... | {
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https://api.github.com/repos/huggingface/datasets/issues/6259 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6259/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6259/comments | https://api.github.com/repos/huggingface/datasets/issues/6259/events | https://github.com/huggingface/datasets/issues/6259 | 1,911,965,758 | I_kwDODunzps5x9kg- | 6,259 | Duplicated Rows When Loading Parquet Files from Root Directory with Subdirectories | {
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"body": "Thanks for reporting this issue! We should be able to avoid this by making our `glob` patterns more precise. In the meantime, you can load the dataset by directly assigning splits to the data files: \r\n```python\r\nfrom datasets import load_dataset\r\nds = l... | 2023-09-25T17:20:54Z | 2024-03-15T15:22:04Z | 2024-03-15T15:22:04Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
When parquet files are saved in "train" and "val" subdirectories under a root directory, and datasets are then loaded using `load_dataset("parquet", data_dir="root_directory")`, the resulting dataset has duplicated rows for both the training and validation sets.
### Steps to reproduce the bug... | {
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https://api.github.com/repos/huggingface/datasets/issues/6258 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6258/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6258/comments | https://api.github.com/repos/huggingface/datasets/issues/6258/events | https://github.com/huggingface/datasets/pull/6258 | 1,911,445,373 | PR_kwDODunzps5bHxHl | 6,258 | [DOCS] Fix typo: Elasticsearch | {
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https://api.github.com/repos/huggingface/datasets/issues/6255 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6255/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6255/comments | https://api.github.com/repos/huggingface/datasets/issues/6255/events | https://github.com/huggingface/datasets/pull/6255 | 1,909,842,977 | PR_kwDODunzps5bCioS | 6,255 | Parallelize builder configs creation | {
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"body": "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after w... | 2023-09-23T11:56:20Z | 2024-01-11T06:32:34Z | 2023-09-26T15:44:19Z | MEMBER | null | null | null | For datasets with lots of configs defined in YAML
E.g. `load_dataset("uonlp/CulturaX", "fr", revision="refs/pr/6")` from >1min to 15sec | {
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https://api.github.com/repos/huggingface/datasets/issues/6256 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6256/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6256/comments | https://api.github.com/repos/huggingface/datasets/issues/6256/events | https://github.com/huggingface/datasets/issues/6256 | 1,910,275,199 | I_kwDODunzps5x3Hx_ | 6,256 | load_dataset() function's cache_dir does not seems to work | {
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"author_association": "COLLABORATOR",
"body": "Can you share the error message?\r\n\r\nAlso, it would help if you could check whether `huggingface_hub`'s download behaves the same:\r\n```python\r\nfrom huggingface_hub import snapshot_download\r\nsnapshot_download(\"trec\", repo_type=\"dataset\", cache_dir... | 2023-09-24T15:34:06Z | 2025-05-14T10:08:53Z | 2024-10-08T15:45:18Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
datasets version: 2.14.5
when trying to run the following command
trec = load_dataset('trec', split='train[:1000]', cache_dir='/path/to/my/dir')
I keep getting error saying the command does not have permission to the default cache directory on my macbook pro machine.
It seems the cache_... | {
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https://api.github.com/repos/huggingface/datasets/issues/6257 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6257/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6257/comments | https://api.github.com/repos/huggingface/datasets/issues/6257/events | https://github.com/huggingface/datasets/issues/6257 | 1,910,741,044 | I_kwDODunzps5x45g0 | 6,257 | HfHubHTTPError - exceeded our hourly quotas for action: commit | {
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{
"author_association": "MEMBER",
"body": "how is your dataset structured? (file types, how many commits and files are you trying to push, etc)",
"created_at": "2023-09-25T10:00:32Z",
"html_url": "https://github.com/huggingface/datasets/issues/6257#issuecomment-1733348075",
"id": 1733348075,
... | 2023-09-25T06:11:43Z | 2023-10-16T13:30:49Z | 2023-10-16T13:30:48Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
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} | ### Describe the bug
I try to upload a very large dataset of images, and get the following error:
```
File /fsx-multigen/yuvalkirstain/miniconda/envs/pickapic/lib/python3.10/site-packages/huggingface_hub/hf_api.py:2712, in HfApi.create_commit(self, repo_id, operations, commit_message, commit_description, token, repo... | {
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https://api.github.com/repos/huggingface/datasets/issues/6254 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6254/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6254/comments | https://api.github.com/repos/huggingface/datasets/issues/6254/events | https://github.com/huggingface/datasets/issues/6254 | 1,909,672,104 | I_kwDODunzps5x00io | 6,254 | Dataset.from_generator() cost much more time in vscode debugging mode then running mode | {
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{
"author_association": "COLLABORATOR",
"body": "Answered on the forum: https://discuss.huggingface.co/t/dataset-from-generator-cost-much-more-time-in-vscode-debugging-mode-then-running-mode/56005/2",
"created_at": "2023-09-26T14:10:57Z",
"html_url": "https://github.com/huggingface/datasets/issues/6... | 2023-09-23T02:07:26Z | 2023-10-03T14:42:53Z | 2023-10-03T14:42:53Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
Hey there,
I’m using Dataset.from_generator() to convert a torch_dataset to the Huggingface Dataset.
However, when I debug my code on vscode, I find that it runs really slow on Dataset.from_generator() which may even 20 times longer then run the script on terminal.
### Steps to reproduce the bu... | {
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https://api.github.com/repos/huggingface/datasets/issues/6253 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6253/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6253/comments | https://api.github.com/repos/huggingface/datasets/issues/6253/events | https://github.com/huggingface/datasets/pull/6253 | 1,906,618,910 | PR_kwDODunzps5a3s__ | 6,253 | Check builder cls default config name in inspect | {
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"created_at": "2023-09-21T10:21:15Z",
"html_url": "https://github.com/huggingface/datasets/pull/6253#issuecomment-1729284287",
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"issue_url": "https://api.g... | 2023-09-21T10:15:32Z | 2023-09-21T14:16:44Z | 2023-09-21T14:08:00Z | MEMBER | null | null | null | Fix https://github.com/huggingface/datasets-server/issues/1812
this was causing this issue:
```ipython
In [1]: from datasets import *
In [2]: inspect.get_dataset_config_names("aakanksha/udpos")
Out[2]: ['default']
In [3]: load_dataset_builder("aakanksha/udpos").config.name
Out[3]: 'en'
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/6252 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6252/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6252/comments | https://api.github.com/repos/huggingface/datasets/issues/6252/events | https://github.com/huggingface/datasets/issues/6252 | 1,906,375,378 | I_kwDODunzps5xoPrS | 6,252 | exif_transpose not done to Image (PIL problem) | {
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"body": "Indeed, it makes sense to do this by default. \r\n\r\nIn the meantime, you can use `.with_transform` to transpose the images when accessing them:\r\n\r\n```python\r\nimport PIL.ImageOps\r\n\r\ndef exif_transpose_transform(batch):\r\n batch[\"image\"] = [PIL.... | 2023-09-21T08:11:46Z | 2024-03-19T15:29:43Z | 2024-03-19T15:29:43Z | NONE | null | null | {
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} | ### Feature request
I noticed that some of my images loaded using PIL have some metadata related to exif that can rotate them when loading.
Since the dataset.features.Image uses PIL for loading, the loaded image may be rotated (width and height will be inverted) thus for tasks as object detection and layoutLM this ca... | {
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https://api.github.com/repos/huggingface/datasets/issues/6246 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6246/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6246/comments | https://api.github.com/repos/huggingface/datasets/issues/6246/events | https://github.com/huggingface/datasets/issues/6246 | 1,899,848,414 | I_kwDODunzps5xPWLe | 6,246 | Add new column to dataset | {
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"body": "I think it's an issue with the code.\r\n\r\nSpecifically:\r\n```python\r\ndataset = dataset['train'].add_column(\"/workspace/data\", new_column)\r\n```\r\n\r\nNow `dataset` is the train set with a new column. \r\nTo fix this, you can do:\r\n\r\n```python\r\nda... | 2023-09-17T16:59:48Z | 2023-09-18T16:20:09Z | 2023-09-18T16:20:09Z | NONE | null | null | {
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} | ### Describe the bug
```
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
[<ipython-input-9-bd197b36b6a0>](https://localhost:8080/#) in <cell line: 1>()
----> 1 dataset['train']['/workspace/data']
3 frames
[/... | {
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See: https://huggingface.co/datasets/uonlp/CulturaX/discussions/2
CC: @AndreaFrancis | {
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``` from datasets import AudioFolder ``` and ```from datasets import ImageFolder``` to ```from datasets import load_dataset```
```
cannot import name 'AudioFolder' from 'datasets' (/home/eswardivi/miniconda3/envs/Hugformers/lib/python3.10/site... | {
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https://api.github.com/repos/huggingface/datasets/issues/6243 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6243/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6243/comments | https://api.github.com/repos/huggingface/datasets/issues/6243/events | https://github.com/huggingface/datasets/pull/6243 | 1,898,532,784 | PR_kwDODunzps5aclIy | 6,243 | Fix cast from fixed size list to variable size list | {
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"body": "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after w... | 2023-09-15T14:23:33Z | 2023-09-19T18:02:21Z | 2023-09-19T17:53:17Z | COLLABORATOR | null | null | null | Fix #6242 | {
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"body": "While this issue may seem specific, it led to a silent problem in my workflow that took days to diagnose. If this feature is not intended to be supported, an error should be raised when encountering this configuration to prevent such issues.",
"created_at": "20... | 2023-09-14T16:12:45Z | 2023-09-19T17:53:18Z | 2023-09-19T17:53:18Z | MEMBER | null | null | {
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} | ### Describe the bug
When a dataset saved with a specified inner sequence length is loaded without specifying that length, the original data is altered and becomes inconsistent.
### Steps to reproduce the bug
```python
from datasets import Dataset, Features, Value, Sequence, load_dataset
# Repository ID
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"body": "What type of dataset are you using in this script? `torch.utils.data.Dataset` or `datasets.Dataset`? Please share the `datasets` package version if it's the latter. Otherwise, it's better to move this issue to the `accelerate` repo.",
"created_at": "2023-... | 2023-09-14T05:30:30Z | 2023-09-14T23:54:42Z | 2023-09-14T23:54:42Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
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} | ### Describe the bug
I am trying to get CLIP to fine-tuning with my code.
When I tried to run it on multiple GPUs using accelerate, I encountered the following phenomenon.
- Validation dataloader stuck in 2nd epoch only on multi-GPU
Specifically, when the "for inputs in valid_loader:" process is finished, it does... | {
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https://api.github.com/repos/huggingface/datasets/issues/6239 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6239/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6239/comments | https://api.github.com/repos/huggingface/datasets/issues/6239/events | https://github.com/huggingface/datasets/issues/6239 | 1,895,349,382 | I_kwDODunzps5w-LyG | 6,239 | Load local audio data doesn't work | {
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"body": "I think this is the same issue as https://github.com/huggingface/datasets/issues/4776. Maybe installing `ffmpeg` can fix it:\r\n```python\r\nadd-apt-repository -y ppa:savoury1/ffmpeg4\r\napt-get -qq install -y ffmpeg\r\n```\r\n\r\nHowever, the best solution i... | 2023-09-13T22:30:01Z | 2023-09-15T14:32:10Z | 2023-09-15T14:32:10Z | NONE | null | null | {
"completed": 0,
"percent_completed": 0,
"total": 0
} | ### Describe the bug
I get a RuntimeError from the following code:
```python
audio_dataset = Dataset.from_dict({"audio": ["/kaggle/input/bengaliai-speech/train_mp3s/000005f3362c.mp3"]}).cast_column("audio", Audio())
audio_dataset[0]
```
### Traceback
<details>
```python
RuntimeError ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6235 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6235/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6235/comments | https://api.github.com/repos/huggingface/datasets/issues/6235/events | https://github.com/huggingface/datasets/issues/6235 | 1,893,337,083 | I_kwDODunzps5w2gf7 | 6,235 | Support multiprocessing for download/extract nestedly | {
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] | open | false | null | [] | null | [] | 2023-09-12T21:51:08Z | 2023-09-12T21:51:08Z | null | NONE | null | null | {
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} | ### Feature request
Current multiprocessing for download/extract is not done nestedly. For example, when processing SlimPajama, there is only 3 processes (for train/test/val), while there are many files inside these 3 folders
```
Downloading data files #0: 0%| | 0/1 [00:00<?, ?obj/s]
Downloading data f... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6238 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6238/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6238/comments | https://api.github.com/repos/huggingface/datasets/issues/6238/events | https://github.com/huggingface/datasets/issues/6238 | 1,895,207,828 | I_kwDODunzps5w9pOU | 6,238 | `dataset.filter` ALWAYS removes the first item from the dataset when using batched=True | {
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"body": "`filter` treats the function's output as a (selection) mask - `True` keeps the sample, and `False` drops it. In your case, `bool(0)` evaluates to `False`, so dropping the first sample is the correct behavior.",
"created_at": "2023-09-14T11:58:48Z",
"h... | 2023-09-13T20:20:37Z | 2023-09-17T07:05:07Z | 2023-09-17T07:05:07Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
If you call batched=True when calling `filter`, the first item is _always_ filtered out, regardless of the filter condition.
### Steps to reproduce the bug
Here's a minimal example:
```python
def filter_batch_always_true(batch, indices):
print("First index being passed into this filte... | {
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https://api.github.com/repos/huggingface/datasets/issues/6237 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6237/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6237/comments | https://api.github.com/repos/huggingface/datasets/issues/6237/events | https://github.com/huggingface/datasets/issues/6237 | 1,893,822,321 | I_kwDODunzps5w4W9x | 6,237 | Tokenization with multiple workers is too slow | {
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{
"author_association": "COLLABORATOR",
"body": "[This](https://huggingface.co/docs/datasets/nlp_process#map) is the most performant way to tokenize a dataset (`batched=True, num_proc=None, return_tensors=\"np\"`) \r\n\r\nIf`tokenizer.is_fast` returns `True`, `num_proc` must be `None/1` to benefit from the ... | 2023-09-13T06:18:34Z | 2023-09-19T21:54:58Z | 2023-09-19T21:54:58Z | NONE | null | null | {
"completed": 0,
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} | I am trying to tokenize a few million documents with multiple workers but the tokenization process is taking forever.
Code snippet:
```
raw_datasets.map(
encode_function,
batched=False,
num_proc=args.preprocessing_num_workers,
load_from_cache_file=not args.ove... | {
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https://api.github.com/repos/huggingface/datasets/issues/6236 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6236/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6236/comments | https://api.github.com/repos/huggingface/datasets/issues/6236/events | https://github.com/huggingface/datasets/issues/6236 | 1,893,648,480 | I_kwDODunzps5w3shg | 6,236 | Support buffer shuffle for to_tf_dataset | {
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{
"author_association": "COLLABORATOR",
"body": "cc @Rocketknight1 ",
"created_at": "2023-09-13T17:57:22Z",
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"issue_url": "https://api.github.com/repos/huggingface/datasets/issues/6236... | 2023-09-13T03:19:44Z | 2023-09-18T01:11:21Z | null | NONE | null | null | {
"completed": 0,
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} | ### Feature request
I'm using to_tf_dataset to convert a large dataset to tf.data.Dataset and use Keras fit to train model.
Currently, to_tf_dataset only supports full size shuffle, which can be very slow on large dataset.
tf.data.Dataset support buffer shuffle by default.
shuffle(
buffer_size, seed=None, r... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6233 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6233/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6233/comments | https://api.github.com/repos/huggingface/datasets/issues/6233/events | https://github.com/huggingface/datasets/pull/6233 | 1,891,804,286 | PR_kwDODunzps5aF3kd | 6,233 | Update README.md | {
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"issue_url": "https://api.g... | 2023-09-12T06:53:06Z | 2023-09-13T18:20:50Z | 2023-09-13T18:10:04Z | CONTRIBUTOR | null | null | null | fixed a typo | {
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https://api.github.com/repos/huggingface/datasets/issues/6232 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6232/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6232/comments | https://api.github.com/repos/huggingface/datasets/issues/6232/events | https://github.com/huggingface/datasets/pull/6232 | 1,891,109,762 | PR_kwDODunzps5aDhhK | 6,232 | Improve error message for missing function parameters | {
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"issue_url": "https://api.g... | 2023-09-11T19:11:58Z | 2023-09-15T18:07:56Z | 2023-09-15T17:59:02Z | CONTRIBUTOR | null | null | null | The error message in the fingerprint module was missing the f-string 'f' symbol, so the error message returned by fingerprint.py, line 469 was literally "function {func} is missing parameters {fingerprint_names} in signature."
This has been fixed. | {
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https://api.github.com/repos/huggingface/datasets/issues/6229 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6229/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6229/comments | https://api.github.com/repos/huggingface/datasets/issues/6229/events | https://github.com/huggingface/datasets/issues/6229 | 1,889,050,954 | I_kwDODunzps5wmKFK | 6,229 | Apply inference on all images in the dataset | {
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"body": "From what I see, `MMSegInferencer` supports NumPy arrays, so replace the line `image_path = example['image']` with `image_path = np.array(example['image'])` to fix the issue (`example[\"image\"]` is a `PIL.Image` object). ",
"created_at": "2023-09-11T16:1... | 2023-09-10T08:36:12Z | 2023-09-20T16:11:53Z | 2023-09-20T16:11:52Z | NONE | null | null | {
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} | ### Describe the bug
```
---------------------------------------------------------------------------
NotImplementedError Traceback (most recent call last)
Cell In[14], line 11
9 for idx, example in enumerate(dataset['train']):
10 image_path = example['image']
---> 11 mask... | {
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https://api.github.com/repos/huggingface/datasets/issues/6230 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6230/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6230/comments | https://api.github.com/repos/huggingface/datasets/issues/6230/events | https://github.com/huggingface/datasets/pull/6230 | 1,890,521,006 | PR_kwDODunzps5aBh6L | 6,230 | Don't skip hidden files in `dl_manager.iter_files` when they are given as input | {
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"body": "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after w... | 2023-09-11T13:29:19Z | 2023-09-13T18:21:28Z | 2023-09-13T18:12:09Z | COLLABORATOR | null | null | null | Required for `load_dataset(<format>, data_files=["path/to/.hidden_file"])` to work as expected | {
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https://api.github.com/repos/huggingface/datasets/issues/6231 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6231/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6231/comments | https://api.github.com/repos/huggingface/datasets/issues/6231/events | https://github.com/huggingface/datasets/pull/6231 | 1,890,863,249 | PR_kwDODunzps5aCr8_ | 6,231 | Overwrite legacy default config name in `dataset_infos.json` in packaged datasets | {
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"body": "The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6231). All of your documentation changes will be reflected on that endpoint.",
"created_at": "2023-09-11T16:33:03Z",
"html_url": "https://github.com/huggingface/datasets/pul... | 2023-09-11T16:27:09Z | 2023-09-26T11:19:36Z | null | CONTRIBUTOR | null | null | null | Currently if we push data as default config with `.push_to_hub` to a repo that has a legacy `dataset_infos.json` file containing a legacy default config name like `{username}--{dataset_name}`, new key `"default"` is added to `dataset_infos.json` along with the legacy one. I think the legacy one should be dropped in thi... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6228 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6228/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6228/comments | https://api.github.com/repos/huggingface/datasets/issues/6228/events | https://github.com/huggingface/datasets/pull/6228 | 1,887,959,311 | PR_kwDODunzps5Z5HZi | 6,228 | Remove RGB -> BGR image conversion in Object Detection tutorial | {
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https://api.github.com/repos/huggingface/datasets/issues/6225 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6225/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6225/comments | https://api.github.com/repos/huggingface/datasets/issues/6225/events | https://github.com/huggingface/datasets/issues/6225 | 1,887,054,320 | I_kwDODunzps5weinw | 6,225 | Conversion from RGB to BGR in Object Detection tutorial | {
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"body": "Good catch!",
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... | 2023-09-08T06:49:19Z | 2023-09-08T17:52:18Z | 2023-09-08T17:52:17Z | NONE | null | null | {
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} | The [tutorial](https://huggingface.co/docs/datasets/main/en/object_detection) mentions the necessity of conversion the input image from BGR to RGB
> albumentations expects the image to be in BGR format, not RGB, so you’ll have to convert the image before applying the transform.
[Link to tutorial](https://github.c... | {
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https://api.github.com/repos/huggingface/datasets/issues/6226 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6226/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6226/comments | https://api.github.com/repos/huggingface/datasets/issues/6226/events | https://github.com/huggingface/datasets/pull/6226 | 1,887,462,591 | PR_kwDODunzps5Z3arq | 6,226 | Add push_to_hub with multiple configs docs | {
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https://api.github.com/repos/huggingface/datasets/issues/6223 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6223/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6223/comments | https://api.github.com/repos/huggingface/datasets/issues/6223/events | https://github.com/huggingface/datasets/pull/6223 | 1,885,710,696 | PR_kwDODunzps5Zxd5c | 6,223 | Update README.md | {
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https://api.github.com/repos/huggingface/datasets/issues/6224 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6224/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6224/comments | https://api.github.com/repos/huggingface/datasets/issues/6224/events | https://github.com/huggingface/datasets/pull/6224 | 1,886,043,692 | PR_kwDODunzps5Zym3j | 6,224 | Ignore `dataset_info.json` in data files resolution | {
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"issue_url": "https://api.g... | 2023-09-07T14:43:51Z | 2023-09-07T15:46:10Z | 2023-09-07T15:37:20Z | COLLABORATOR | null | null | null | `save_to_disk` creates this file, but also [`HugginFaceDatasetSever`](https://github.com/gradio-app/gradio/blob/26fef8c7f85a006c7e25cdbed1792df19c512d02/gradio/flagging.py#L214), so this is needed to avoid issues such as [this one](https://discord.com/channels/879548962464493619/1149295819938349107/1149295819938349107)... | {
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https://api.github.com/repos/huggingface/datasets/issues/6222 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6222/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6222/comments | https://api.github.com/repos/huggingface/datasets/issues/6222/events | https://github.com/huggingface/datasets/pull/6222 | 1,884,875,510 | PR_kwDODunzps5Zup2f | 6,222 | fix typo in Audio dataset documentation | {
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"issue_url": "https://api.g... | 2023-09-06T23:17:24Z | 2023-10-03T14:18:41Z | 2023-09-07T15:39:09Z | CONTRIBUTOR | null | null | null | There is a typo in the section of the documentation dedicated to creating an audio dataset. The Dataset is incorrectly suffixed with a `Config`
https://huggingface.co/datasets/indonesian-nlp/librivox-indonesia/blob/main/librivox-indonesia.py#L59 | {
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https://api.github.com/repos/huggingface/datasets/issues/6221 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6221/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6221/comments | https://api.github.com/repos/huggingface/datasets/issues/6221/events | https://github.com/huggingface/datasets/issues/6221 | 1,884,324,631 | I_kwDODunzps5wUIMX | 6,221 | Support saving datasets with custom formatting | {
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"body": "Not a fan of pickling this sort of stuff either.\r\nNote that users can also share the code in their dataset documentation.",
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... | 2023-09-06T16:03:32Z | 2023-09-06T18:32:07Z | null | COLLABORATOR | null | null | {
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} | Requested in https://discuss.huggingface.co/t/using-set-transform-on-a-dataset-leads-to-an-exception/53036.
I am not sure if supporting this is the best idea for the following reasons:
>For this to work, we would have to pickle a custom transform, which means the transform and the objects it references need to be... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6220 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6220/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6220/comments | https://api.github.com/repos/huggingface/datasets/issues/6220/events | https://github.com/huggingface/datasets/pull/6220 | 1,884,285,980 | PR_kwDODunzps5ZspRb | 6,220 | Set dev version | {
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"body": "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after w... | 2023-09-06T10:40:05Z | 2023-09-07T08:31:29Z | 2023-09-06T11:23:56Z | MEMBER | null | null | null | Fix
```python
from datasets import load_dataset_builder
b = load_dataset_builder("lambdalabs/pokemon-blip-captions", "default")
print(b.info)
```
which should return
```
DatasetInfo(
features={'image': Image(decode=True, id=None), 'text': Value(dtype='string', id=None)},
dataset_name='pokemon-bli... | {
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https://api.github.com/repos/huggingface/datasets/issues/6217 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6217/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6217/comments | https://api.github.com/repos/huggingface/datasets/issues/6217/events | https://github.com/huggingface/datasets/issues/6217 | 1,883,614,607 | I_kwDODunzps5wRa2P | 6,217 | `Dataset.to_dict()` ignore `decode=True` with Image feature | {
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"body": "We need to implement the `Image` type as a PyArrow extension type (to allow us to override the Python conversion) for this to work as expected. For now, it's best to use your approach indeed.",
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} | ### Describe the bug
`Dataset.to_dict` seems to ignore the decoding instruction passed in features.
### Steps to reproduce the bug
```python
import datasets
import numpy as np
from PIL import Image
img = np.random.randint(0, 256, (5, 5, 3), dtype=np.uint8)
img = Image.fromarray(img)
features = datasets.Fea... | null | {
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} | Once root issue is fixed, remove temporary pin of fsspec < 2023.9.0 introduced by:
- #6210
Related to issue:
- #6209
After investigation, I think the root issue is related to the new glob behavior with double asterisk `**` they have introduced in:
- https://github.com/fsspec/filesystem_spec/pull/1329 | {
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https://api.github.com/repos/huggingface/datasets/issues/6215 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6215/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6215/comments | https://api.github.com/repos/huggingface/datasets/issues/6215/events | https://github.com/huggingface/datasets/pull/6215 | 1,882,176,970 | PR_kwDODunzps5ZlcqC | 6,215 | Fix checking patterns to infer packaged builder | {
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"issue_url": "https://api.g... | 2023-09-05T15:10:47Z | 2023-09-06T10:34:00Z | 2023-09-06T10:25:00Z | CONTRIBUTOR | null | null | null | Don't ignore results of pattern resolving if `self.data_files` is not None. Otherwise lines 854 and 1037 make no sense. | {
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"body": "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after w... | 2023-09-04T16:21:23Z | 2024-01-11T06:32:20Z | 2023-10-05T15:24:34Z | COLLABORATOR | null | null | null | Use [`array.flatten`](https://arrow.apache.org/docs/python/generated/pyarrow.ListArray.html#pyarrow.ListArray.flatten) that takes `.offset` into account instead of `array.values` in array cast/embed. | {
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"body": "Hi @exs-avianello, is it really needed? Note you can alternatively use `pathlib.Path` among others as it follows:\r\n\r\n```python\r\nimport datasets\r\nfrom pathlib import Path\r\n\r\n# save a parquet file at ~/path/to/data.parquet\r\n\r\ndata_files = Path.home() ... | 2023-09-04T14:23:49Z | 2023-09-05T08:28:39Z | null | NONE | null | null | {
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} | ### Describe the bug
Attempting to `load_dataset` from a path starting with `~` (as a shorthand for the user's home directory) seems not to be fully working - at least as far as the `parquet` dataset builder is concerned.
(the same file can be loaded correctly if providing its absolute path instead)
I think that... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6211 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6211/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6211/comments | https://api.github.com/repos/huggingface/datasets/issues/6211/events | https://github.com/huggingface/datasets/pull/6211 | 1,880,265,906 | PR_kwDODunzps5Ze-pv | 6,211 | Fix empty splitinfo json | {
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"body": "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after w... | 2023-09-04T13:13:53Z | 2023-09-04T14:58:34Z | 2023-09-04T14:47:17Z | MEMBER | null | null | null | If a split is empty, then the JSON split info should mention num_bytes = 0 and num_examples = 0.
Until now they were omited because the JSON dumps ignore the fields that are equal to the default values.
This is needed in datasets-server since we parse this information to the viewer | {
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https://api.github.com/repos/huggingface/datasets/issues/6210 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6210/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6210/comments | https://api.github.com/repos/huggingface/datasets/issues/6210/events | https://github.com/huggingface/datasets/pull/6210 | 1,879,649,731 | PR_kwDODunzps5Zc4JF | 6,210 | Temporarily pin fsspec < 2023.9.0 | {
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Hot fix #6209. | {
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https://api.github.com/repos/huggingface/datasets/issues/6208 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6208/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6208/comments | https://api.github.com/repos/huggingface/datasets/issues/6208/events | https://github.com/huggingface/datasets/pull/6208 | 1,879,572,646 | PR_kwDODunzps5ZcnpJ | 6,208 | Do not filter out .zip extensions from no-script datasets | {
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"body": "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after w... | 2023-09-04T06:07:12Z | 2023-09-04T09:22:19Z | 2023-09-04T09:13:32Z | MEMBER | null | null | null | This PR is a hotfix of:
- #6207
That PR introduced the filtering out of `.zip` extensions. This PR reverts that.
Hot fix #6207.
Maybe we should do patch releases: the bug was introduced in 2.13.1.
CC: @lhoestq | {
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See: https://github.com/huggingface/datasets/actions/runs/6069947111/job/16465138041
```
=========================== short test summary info ============================
FAILED tests/test_load.py::ModuleFactoryTest::test_LocalDatasetModuleFactoryWithoutScript_with_data_dir - ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6207 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6207/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6207/comments | https://api.github.com/repos/huggingface/datasets/issues/6207/events | https://github.com/huggingface/datasets/issues/6207 | 1,879,555,234 | I_kwDODunzps5wB7yi | 6,207 | No-script datasets with ZIP files do not load | {
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} | While investigating an issue on a Hub dataset, I have discovered the no-script datasets containing ZIP files do not load.
For example, that no-script dataset containing ZIP files, raises NonMatchingSplitsSizesError:
```python
In [2]: ds = load_dataset("sidovic/LearningQ-qg")
NonMatchingSplitsSizesError: [
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https://api.github.com/repos/huggingface/datasets/issues/6202 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6202/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6202/comments | https://api.github.com/repos/huggingface/datasets/issues/6202/events | https://github.com/huggingface/datasets/issues/6202 | 1,876,630,351 | I_kwDODunzps5v2xtP | 6,202 | avoid downgrading jax version | {
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"body": "https://github.com/huggingface/datasets/blob/main/setup.py#L236\r\nCurrently has the highest version at 0.3.25; Not sure if there is any reason for this, other than that was the tested version?",
"created_at": "2023-10-02T20:37:51Z",
"html_url": "https://gith... | 2023-09-01T02:57:57Z | 2023-10-12T16:28:59Z | 2023-10-12T16:28:59Z | NONE | null | null | {
"completed": 0,
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} | ### Feature request
Whenever I `pip install datasets[jax]` it downgrades jax to version 0.3.25. I seem to be able to install this library first then upgrade jax back to version 0.4.13.
### Motivation
It would be nice to not overwrite currently installed version of jax if possible.
### Your contribution
I... | {
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https://api.github.com/repos/huggingface/datasets/issues/6206 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6206/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6206/comments | https://api.github.com/repos/huggingface/datasets/issues/6206/events | https://github.com/huggingface/datasets/issues/6206 | 1,879,473,745 | I_kwDODunzps5wBn5R | 6,206 | When calling load_dataset, raise error: pyarrow.lib.ArrowInvalid: offset overflow while concatenating arrays | {
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"body": "I solved the problem by modifying the \"self DEFAULT_WRITER_BATCH_SIZE\" in \"class MyDataset (datasets. GeneratorBasedBuilder) : __init__\"",
"created_at": "2023-09-04T06:05:49Z",
"html_url": "https://github.com/huggingface/datasets/issues/6206#issuecomment-... | 2023-09-04T04:14:00Z | 2024-04-17T15:53:29Z | 2023-09-04T06:05:49Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
When calling load_dataset, raise error
```
Traceback (most recent call last):
File "/home/aihao/miniconda3/envs/torch/lib/python3.11/site-packages/datasets/builder.py", line 1694, in _pre
pare_split_single ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6203 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6203/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6203/comments | https://api.github.com/repos/huggingface/datasets/issues/6203/events | https://github.com/huggingface/datasets/issues/6203 | 1,877,491,602 | I_kwDODunzps5v6D-S | 6,203 | Support loading from a DVC remote repository | {
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{
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"body": "(cross-posting from the linked DVC issue)\r\n\r\nI think this should already work out of the box with the current `datasets` and `dvc.api` releases by passing the correct `storage_options` into the datasets calls. `storage_options` is essentially just the kwar... | 2023-09-01T14:04:52Z | 2023-09-15T15:11:27Z | 2023-09-15T15:11:27Z | NONE | null | null | {
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} | ### Feature request
Adding support for loading a file from a DVC repository, tracked remotely on a SCM.
### Motivation
DVC is a popular version control system to version and manage datasets. The files are stored on a remote object storage platform, but they are tracked using Git. Integration with DVC is possible thr... | {
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https://api.github.com/repos/huggingface/datasets/issues/6201 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6201/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6201/comments | https://api.github.com/repos/huggingface/datasets/issues/6201/events | https://github.com/huggingface/datasets/pull/6201 | 1,875,256,775 | PR_kwDODunzps5ZOVbV | 6,201 | Fix to_json ValueError and remove pandas pin | {
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"body": "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after w... | 2023-08-31T10:38:08Z | 2023-09-05T11:07:07Z | 2023-09-05T10:58:21Z | MEMBER | null | null | null | This PR fixes the root cause of the issue:
- #6197
This PR also removes the temporary pin of `pandas` introduced by:
- #6200
Note that for orient in ['records', 'values'], index value is ignored but
- in `pandas` < 2.1.0, a ValueError is raised if not index and orient not in ['split', 'table']
- for orien... | {
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https://api.github.com/repos/huggingface/datasets/issues/6200 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6200/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6200/comments | https://api.github.com/repos/huggingface/datasets/issues/6200/events | https://github.com/huggingface/datasets/pull/6200 | 1,875,169,551 | PR_kwDODunzps5ZOCee | 6,200 | Temporarily pin pandas < 2.1.0 | {
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Hot fix #6197. | {
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https://api.github.com/repos/huggingface/datasets/issues/6198 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6198/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6198/comments | https://api.github.com/repos/huggingface/datasets/issues/6198/events | https://github.com/huggingface/datasets/pull/6198 | 1,875,092,027 | PR_kwDODunzps5ZNyBq | 6,198 | Preserve split order in DataFilesDict | {
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"issue_url": "https://api.g... | 2023-08-31T09:00:26Z | 2023-08-31T13:57:31Z | 2023-08-31T13:48:42Z | MEMBER | null | null | null | After investigation, I have found that this copy forces the splits to be sorted alphabetically: https://github.com/huggingface/datasets/blob/029227a116c14720afca71b9b22e78eb2a1c09a6/src/datasets/builder.py#L556
This PR removes the alphabetically sort of `DataFilesDict` keys.
- Note that for a `dict`, the order of k... | {
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https://api.github.com/repos/huggingface/datasets/issues/6196 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6196/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6196/comments | https://api.github.com/repos/huggingface/datasets/issues/6196/events | https://github.com/huggingface/datasets/issues/6196 | 1,875,070,972 | I_kwDODunzps5vw0_8 | 6,196 | Split order is not preserved | {
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} | I have noticed that in some cases the split order is not preserved.
For example, consider a no-script dataset with configs:
```yaml
configs:
- config_name: default
data_files:
- split: train
path: train.csv
- split: test
path: test.csv
```
- Note the defined split order is [train, test]
On... | {
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"body": "Thanks for reporting. We are investigating it.",
"created_at": "2023-08-31T09:33:33Z",
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} | ### Describe the bug
Saving a dataset `.to_json()` fails with a `ValueError` since the latest `pandas` [release](https://pandas.pydata.org/docs/dev/whatsnew/v2.1.0.html) (`2.1.0`)
In their latest release we have:
> Improved error handling when using [DataFrame.to_json()](https://pandas.pydata.org/docs/dev/refere... | {
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https://api.github.com/repos/huggingface/datasets/issues/6199 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6199/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6199/comments | https://api.github.com/repos/huggingface/datasets/issues/6199/events | https://github.com/huggingface/datasets/issues/6199 | 1,875,165,185 | I_kwDODunzps5vxMAB | 6,199 | Use load_dataset for local json files, but it not works | {
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"body": "Hugging Face's datasets library may prioritize remote configurations. Make sure there are no conflicting configurations causing the library to prefer downloading data\r\nMay be try debugging\r\nraw_datasets = load_dataset('json', data_files=data_files)\r\nprint(raw_... | 2023-08-31T09:42:34Z | 2023-08-31T19:05:07Z | null | NONE | null | null | {
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} | ### Describe the bug
when I use load_dataset to load my local datasets，it always goes to Hugging Face to download the data instead of loading the local dataset.
### Steps to reproduce the bug
`raw_datasets = load_dataset(
‘json’,
data_files=data_files)`
### Expected behavior
![image](https://gi... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6195 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6195/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6195/comments | https://api.github.com/repos/huggingface/datasets/issues/6195/events | https://github.com/huggingface/datasets/issues/6195 | 1,874,195,585 | I_kwDODunzps5vtfSB | 6,195 | Force to reuse cache at given path | {
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"body": "realized that need to pass the path at `cache_file_name` like\r\n\r\n```python\r\ntokenized_datasets = raw_datasets[\"train\"].map(\r\n tokenize_function,\r\n batched=True,\r\n num_proc=data_args.preprocessing_num_workers,... | 2023-08-30T18:44:54Z | 2023-11-03T10:14:21Z | 2023-08-30T19:00:45Z | NONE | null | null | {
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} | ### Describe the bug
I have run the official example of MLM like:
```bash
python run_mlm.py \
--model_name_or_path roberta-base \
--dataset_name togethercomputer/RedPajama-Data-1T \
--dataset_config_name arxiv \
--per_device_train_batch_size 10 \
--preprocessing_num_workers 20 ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6194 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6194/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6194/comments | https://api.github.com/repos/huggingface/datasets/issues/6194/events | https://github.com/huggingface/datasets/issues/6194 | 1,872,598,223 | I_kwDODunzps5vnZTP | 6,194 | Support custom fingerprinting with `Dataset.from_generator` | {
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"body": "The `fingerprint` parameter serves a slightly different purpose - we use it to inject a new fingerprint after transforming a `Dataset` (computed from the previous fingerprint + transform + transform args), e.g., to be able to compute the cache file for a tran... | 2023-08-29T22:43:13Z | 2024-12-22T01:14:39Z | null | NONE | null | null | {
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} | ### Feature request
When using `Dataset.from_generator`, the generator is hashed when building the fingerprint. Similar to `.map`, it would be interesting to let the user bypass this hashing by accepting a `fingerprint` argument to `.from_generator`.
### Motivation
Using the `.from_generator` constructor with ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6193 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6193/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6193/comments | https://api.github.com/repos/huggingface/datasets/issues/6193/events | https://github.com/huggingface/datasets/issues/6193 | 1,872,285,153 | I_kwDODunzps5vmM3h | 6,193 | Dataset loading script method does not work with .pyc file | {
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"body": "Before dynamically loading `.py` scripts with `importlib.import_module`, we also parse their contents to check imports, which is tricky to implement for binary `.pyc` files (requires parsing bytecode), so I don't think this is something we want to support (un... | 2023-08-29T19:35:06Z | 2023-08-31T19:47:29Z | null | NONE | null | null | {
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} | ### Describe the bug
The huggingface dataset library specifically looks for ‘.py’ file while loading the dataset using loading script approach and it does not work with ‘.pyc’ file.
While deploying in production, it becomes an issue when we are restricted to use only .pyc files. Is there any work around for this ?
#... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6192 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6192/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6192/comments | https://api.github.com/repos/huggingface/datasets/issues/6192/events | https://github.com/huggingface/datasets/pull/6192 | 1,871,911,640 | PR_kwDODunzps5ZDGnI | 6,192 | Set minimal fsspec version requirement to 2023.1.0 | {
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"body": "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after w... | 2023-08-29T15:23:41Z | 2023-08-30T14:01:56Z | 2023-08-30T13:51:32Z | COLLABORATOR | null | null | null | Fix https://github.com/huggingface/datasets/issues/6141
Colab installs 2023.6.0, so we should be good 🙂
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https://api.github.com/repos/huggingface/datasets/issues/6191 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6191/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6191/comments | https://api.github.com/repos/huggingface/datasets/issues/6191/events | https://github.com/huggingface/datasets/pull/6191 | 1,871,634,840 | PR_kwDODunzps5ZCKmv | 6,191 | Add missing `revision` argument | {
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"issue_url": "https://api.g... | 2023-08-29T13:05:04Z | 2023-09-04T06:38:17Z | 2023-08-31T13:50:00Z | MEMBER | null | null | null | I've noticed that when you're not working on the main branch, there are sometimes errors in the files returned. After some investigation, I realized that the revision was not properly passed everywhere. This PR proposes a fix. | {
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https://api.github.com/repos/huggingface/datasets/issues/6188 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6188/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6188/comments | https://api.github.com/repos/huggingface/datasets/issues/6188/events | https://github.com/huggingface/datasets/issues/6188 | 1,870,987,640 | I_kwDODunzps5vhQF4 | 6,188 | [Feature Request] Check the length of batch before writing so that empty batch is allowed | {
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"body": "I think this error means you filter all examples within an (input) batch by deleting its columns. In that case, to avoid the error, you can set the column value to an empty list (`input_batch[\"col\"] = []`) instead.",
"created_at": "2023-08-30T13:37:14Z"... | 2023-08-29T06:37:34Z | 2023-09-19T21:55:38Z | 2023-09-19T21:55:37Z | NONE | null | null | {
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} | ### Use Case
I use `dataset.map(process_fn, batched=True)` to process the dataset, with data **augmentations or filtering**. However, when all examples within a batch is filtered out, i.e. **an empty batch is returned**, the following error will be thrown:
```
ValueError: Schema and number of arrays unequal
`... | {
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https://api.github.com/repos/huggingface/datasets/issues/6187 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6187/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6187/comments | https://api.github.com/repos/huggingface/datasets/issues/6187/events | https://github.com/huggingface/datasets/issues/6187 | 1,870,936,143 | I_kwDODunzps5vhDhP | 6,187 | Couldn't find a dataset script at /content/tsv/tsv.py or any data file in the same directory | {
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"body": "Hi! You can load this dataset with:\r\n```python\r\ndata_files = {\r\n \"train\": \"/content/PUBHEALTH/train.tsv\",\r\n \"validation\": \"/content/PUBHEALTH/dev.tsv\",\r\n \"test\": \"/content/PUBHEALTH/test.tsv\",\r\n}\r\n\r\ntsv_datasets_reloaded =... | 2023-08-29T05:49:56Z | 2023-08-29T16:21:45Z | null | NONE | null | null | {
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} | ### Describe the bug
```
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
[<ipython-input-48-6a7b3e847019>](https://localhost:8080/#) in <cell line: 7>()
5 }
6
----> 7 csv_datasets_reloaded = load_... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6186 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6186/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6186/comments | https://api.github.com/repos/huggingface/datasets/issues/6186/events | https://github.com/huggingface/datasets/issues/6186 | 1,869,431,457 | I_kwDODunzps5vbUKh | 6,186 | Feature request: add code example of multi-GPU processing | {
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"body": "That'd be a great idea! @mariosasko or @lhoestq, would it be possible to fix the code snippet or do you have another suggested way for doing this?",
"created_at": "2023-08-29T17:39:03Z",
"html_url": "https://github.com/huggingface/datasets/issues/6186#issue... | 2023-08-28T10:00:59Z | 2024-10-07T09:39:51Z | 2023-11-22T15:42:20Z | CONTRIBUTOR | null | null | {
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} | ### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this saying "your big GPU call goes here", however it didn't work f... | {
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https://api.github.com/repos/huggingface/datasets/issues/6189 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6189/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6189/comments | https://api.github.com/repos/huggingface/datasets/issues/6189/events | https://github.com/huggingface/datasets/pull/6189 | 1,871,569,855 | PR_kwDODunzps5ZB8Z9 | 6,189 | Don't alter input in Features.from_dict | {
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https://api.github.com/repos/huggingface/datasets/issues/6185 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6185/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6185/comments | https://api.github.com/repos/huggingface/datasets/issues/6185/events | https://github.com/huggingface/datasets/issues/6185 | 1,868,077,748 | I_kwDODunzps5vWJq0 | 6,185 | Error in saving the PIL image into *.arrow files using datasets.arrow_writer | {
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"body": "You can cast the `input_image` column to the `Image` type to fix the issue:\r\n```python\r\nds.cast_column(\"input_image\", datasets.Image())\r\n```",
"created_at": "2023-08-29T14:49:57Z",
"html_url": "https://github.com/huggingface/datasets/issues/61... | 2023-08-26T12:15:57Z | 2023-08-29T14:49:58Z | null | NONE | null | null | {
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} | ### Describe the bug
I am using the ArrowWriter from datasets.arrow_writer to save a json-style file as arrow files. Within the dictionary, it contains a feature called "image" which is a list of PIL.Image objects.
I am saving the json using the following script:
```
def save_to_arrow(path,temp):
with ArrowWri... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6190 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6190/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6190/comments | https://api.github.com/repos/huggingface/datasets/issues/6190/events | https://github.com/huggingface/datasets/issues/6190 | 1,871,582,175 | I_kwDODunzps5vjhPf | 6,190 | `Invalid user token` even when correct user token is passed! | {
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"body": "This is because `download_config.use_auth_token` is deprecated - you should use `download_config.token` instead",
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} | ### Describe the bug
I'm working on a dataset which comprises other datasets on the hub.
URL: https://huggingface.co/datasets/open-asr-leaderboard/datasets-test-only
Note: Some of the sub-datasets in this metadataset require explicit access.
All the other datasets work fine, except, `common_voice`.
### Steps t... | {
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https://api.github.com/repos/huggingface/datasets/issues/6184 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6184/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6184/comments | https://api.github.com/repos/huggingface/datasets/issues/6184/events | https://github.com/huggingface/datasets/issues/6184 | 1,867,766,143 | I_kwDODunzps5vU9l_ | 6,184 | Map cache does not detect function changes in another module | {
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{
"author_association": "COLLABORATOR",
"body": "This issue is a duplicate of https://github.com/huggingface/datasets/issues/3297. This is a limitation of `dill`, a package we use for caching (non-`__main__` module objects are serialized by reference). You can find more info about it here: https://github.c... | 2023-08-25T22:59:14Z | 2023-08-29T20:57:07Z | 2023-08-29T20:56:49Z | NONE | null | null | {
"completed": 0,
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} | ```python
# dataset.py
import os
import datasets
if not os.path.exists('/tmp/test.json'):
with open('/tmp/test.json', 'w') as file:
file.write('[{"text": "hello"}]')
def transform(example):
text = example['text']
# text += ' world'
return {'text': text}
data = datasets.load_dataset('json', ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6183 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6183/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6183/comments | https://api.github.com/repos/huggingface/datasets/issues/6183/events | https://github.com/huggingface/datasets/issues/6183 | 1,867,743,276 | I_kwDODunzps5vU4As | 6,183 | Load dataset with non-existent file | {
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"body": "Same problem",
"created_at": "2023-08-28T14:00:51Z",
"html_url": "https://github.com/huggingface/datasets/issues/6183#issuecomment-1695755205",
"id": 1695755205,
"issue_url": "https://api.github.com/repos/huggingface/datasets/issues/6183",
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} | ### Describe the bug
When load a dataset from datasets and pass a wrong path to json with the data, error message does not contain something abount "wrong path" or "file do not exist" -
```SchemaInferenceError: Please pass `features` or at least one example when writing data```
### Steps to reproduce the bug
... | {
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https://api.github.com/repos/huggingface/datasets/issues/6182 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6182/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6182/comments | https://api.github.com/repos/huggingface/datasets/issues/6182/events | https://github.com/huggingface/datasets/issues/6182 | 1,867,203,131 | I_kwDODunzps5vS0I7 | 6,182 | Loading Meteor metric in HF evaluate module crashes due to datasets import issue | {
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"author_association": "COLLABORATOR",
"body": "Our minimal Python version requirement is 3.8, so we dropped `importlib_metadata`. \r\n\r\nFeel free to open a PR in the `evaluate` repo to replace the problematic import with\r\n```python\r\nif PY_VERSION < version.parse(\"3.8\"):\r\n import importlib_met... | 2023-08-25T14:54:06Z | 2023-09-04T16:41:11Z | 2023-08-31T14:38:23Z | NONE | null | null | {
"completed": 0,
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} | ### Describe the bug
When using python3.9 and ```evaluate``` module loading Meteor metric crashes at a non-existent import from ```datasets.config``` in ```datasets v2.14```
### Steps to reproduce the bug
```
from evaluate import load
meteor = load("meteor")
```
produces the following error:
```
from d... | {
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https://api.github.com/repos/huggingface/datasets/issues/6181 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6181/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6181/comments | https://api.github.com/repos/huggingface/datasets/issues/6181/events | https://github.com/huggingface/datasets/pull/6181 | 1,867,035,522 | PR_kwDODunzps5Yy2VO | 6,181 | Fix import in `image_load` doc | {
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https://api.github.com/repos/huggingface/datasets/issues/6180 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6180/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6180/comments | https://api.github.com/repos/huggingface/datasets/issues/6180/events | https://github.com/huggingface/datasets/pull/6180 | 1,867,032,578 | PR_kwDODunzps5Yy1r- | 6,180 | Use `hf-internal-testing` repos for hosting test dataset repos | {
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"body": "_The documentation is not available anymore as the PR was closed or merged._",
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https://api.github.com/repos/huggingface/datasets/issues/6177 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6177/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6177/comments | https://api.github.com/repos/huggingface/datasets/issues/6177/events | https://github.com/huggingface/datasets/pull/6177 | 1,865,490,962 | PR_kwDODunzps5Ytky- | 6,177 | Use object detection images from `huggingface/documentation-images` | {
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https://api.github.com/repos/huggingface/datasets/issues/6178 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6178/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6178/comments | https://api.github.com/repos/huggingface/datasets/issues/6178/events | https://github.com/huggingface/datasets/issues/6178 | 1,866,610,102 | I_kwDODunzps5vQjW2 | 6,178 | 'import datasets' throws "invalid syntax error" | {
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"author_association": "COLLABORATOR",
"body": "This seems to be related to your environment and not the `datasets` code (e.g., this could happen when exposing the Python 3.9 site packages to a lower Python version (interpreter))",
"created_at": "2023-08-29T14:57:17Z",
"html_url": "https://github.... | 2023-08-25T08:35:14Z | 2023-09-27T17:33:39Z | 2023-09-27T17:33:39Z | NONE | null | null | {
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} | ### Describe the bug
Hi,
I have been trying to import the datasets library but I keep gtting this error.
`Traceback (most recent call last):
File /opt/local/jupyterhub/lib64/python3.9/site-packages/IPython/core/interactiveshell.py:3508 in run_code
exec(code_obj, self.user_global_ns, self.user_ns)
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https://api.github.com/repos/huggingface/datasets/issues/6179 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6179/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6179/comments | https://api.github.com/repos/huggingface/datasets/issues/6179/events | https://github.com/huggingface/datasets/issues/6179 | 1,867,009,016 | I_kwDODunzps5vSEv4 | 6,179 | Map cache with tokenizer | {
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"body": "https://github.com/huggingface/datasets/issues/5147 may be a solution, by passing in the tokenizer in a fn_kwargs and ignoring it in the fingerprint calculations",
"created_at": "2023-08-25T22:27:06Z",
"html_url": "https://github.com/huggingface/datasets/issu... | 2023-08-25T12:55:18Z | 2023-08-31T15:17:24Z | null | NONE | null | null | {
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} | Similar issue to https://github.com/huggingface/datasets/issues/5985, but across different sessions rather than two calls in the same session.
Unlike that issue, explicitly calling tokenizer(my_args) before the map() doesn't help, because the tokenizer was created with a different hash to begin with...
setup
```... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6176 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6176/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6176/comments | https://api.github.com/repos/huggingface/datasets/issues/6176/events | https://github.com/huggingface/datasets/issues/6176 | 1,864,436,408 | I_kwDODunzps5vIQq4 | 6,176 | how to limit the size of memory mapped file? | {
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"author_association": "COLLABORATOR",
"body": "Hi! Can you share the error this reproducer throws in your environment? `streaming=True` streams the dataset as it's iterated over without creating a memory-map file.",
"created_at": "2023-08-24T14:14:28Z",
"html_url": "https://github.com/huggingface/... | 2023-08-24T05:33:45Z | 2023-10-11T06:00:10Z | null | NONE | null | null | {
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} | ### Describe the bug
Huggingface datasets use memory-mapped file to map large datasets in memory for fast access.
However, it seems like huggingface will occupy all the memory for memory-mapped files, which makes a troublesome situation since we cluster will distribute a small portion of memory to me (once it's over ... | null | {
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"body": "Hi! The streaming mode also retries requests - `datasets.config.STREAMING_READ_MAX_RETRIES` (20 sec by default) controls the number of retries and `datasets.config.STREAMING_READ_RETRY_INTERVAL` (5 sec) the sleep time between retries.\r\n\r\n> At step 1800 I ... | 2023-08-23T13:15:38Z | 2023-11-06T13:54:16Z | null | NONE | null | null | {
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} | ### Feature request
Streaming datasets, as intended, do not load the entire dataset in memory or disk. However, while querying the next data chunk from the remote, sometimes it is possible that the service is down or there might be other issues that may cause the query to fail. In such a scenario, it would be nice to ... | null | {
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```
FAILED tests/test_formatting.py::ArrowExtractorTest::test_pandas_extractor - AssertionError: Attributes of Series are different
Attribute "dtype" are different
[left]: datetime64[us, UTC]
[right]: datetime64[ns, UTC]
```
```
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"body": "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after w... | 2023-08-23T15:45:53Z | 2023-08-25T13:15:59Z | 2023-08-25T13:06:52Z | COLLABORATOR | null | null | null | Fixes:
* bumps the PyArrow version check in the `cast_array_to_feature` to avoid the offset bug (still not fixed)
* aligns the Pandas formatting tests with the Numpy ones (the current test fails due to https://github.com/apache/arrow/pull/35656, which requires `.to_pandas(coerce_temporal_nanoseconds=True)` to always ... | {
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"body": "Your change adds a new element in the key used to avoid duplicates when generating the examples of a dataset. I don't think it fixes the issue you're trying to solve.",
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"html_url": "https://github.com/huggingface/datase... | 2023-08-23T07:08:17Z | 2023-08-29T12:41:05Z | null | NONE | null | null | null | Added an optional parameter return_file_name in the load_dataset function. When it is set to True, the function will include the name of the file corresponding to the current line as a feature in the returned output.
I added this here https://github.com/huggingface/datasets/blob/main/src/datasets/packaged_modules/js... | null | {
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"body": "Unfortunately, I cannot reproduce this behavior on my machine or Colab - the reproducer returns `['main_data', 'additional_data']` as expected.",
"created_at": "2023-08-23T12:51:44Z",
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} | ### Dataset configurations cannot be created in YAML/README
Hello! I'm trying to follow the docs here in order to create structure in my dataset as added from here (#5331): https://github.com/huggingface/datasets/blob/8b8e6ee067eb74e7965ca2a6768f15f9398cb7c8/docs/source/repository_structure.mdx#L110-L118
I have t... | null | {
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Fix #6112 | {
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https://api.github.com/repos/huggingface/datasets/issues/6165 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6165/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6165/comments | https://api.github.com/repos/huggingface/datasets/issues/6165/events | https://github.com/huggingface/datasets/pull/6165 | 1,861,124,284 | PR_kwDODunzps5YexBL | 6,165 | Fix multiprocessing with spawn in iterable datasets | {
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"body": "_The documentation is not available anymore as the PR was closed or merged._",
"created_at": "2023-08-22T10:13:01Z",
"html_url": "https://github.com/huggingface/datasets/pull/6165#issuecomment-1687900679",
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"issue_url": "https://api.g... | 2023-08-22T10:07:23Z | 2023-08-29T13:27:14Z | 2023-08-29T13:18:11Z | CONTRIBUTOR | null | null | null | The "Spawn" method is preferred when multiprocessing on macOS or Windows systems, instead of the "Fork" method on linux systems.
This causes some methods of Iterable Datasets to break when using a dataloader with more than 0 workers.
I fixed the issue by replacing lambda and local methods which are not pickle-abl... | {
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https://api.github.com/repos/huggingface/datasets/issues/6164 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6164/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6164/comments | https://api.github.com/repos/huggingface/datasets/issues/6164/events | https://github.com/huggingface/datasets/pull/6164 | 1,859,560,007 | PR_kwDODunzps5YZZAJ | 6,164 | Fix: Missing a MetadataConfigs init when the repo has a `datasets_info.json` but no README | {
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"created_at": "2023-08-21T15:04:24Z",
"html_url": "https://github.com/huggingface/datasets/pull/6164#issuecomment-1686504472",
"id": 1686504472,
"issue_url": "https://api.g... | 2023-08-21T14:57:54Z | 2023-08-21T16:27:05Z | 2023-08-21T16:18:26Z | MEMBER | null | null | null | When I try to push to an arrow repo (can provide the link on Slack), it uploads the files but fails to update the metadata, with
```
File "app.py", line 123, in add_new_eval
eval_results[level].push_to_hub(my_repo, token=TOKEN, split=SPLIT)
File "blabla_my_env_path/lib/python3.10/site-packages/datasets/arro... | {
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https://api.github.com/repos/huggingface/datasets/issues/6163 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6163/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6163/comments | https://api.github.com/repos/huggingface/datasets/issues/6163/events | https://github.com/huggingface/datasets/issues/6163 | 1,857,682,241 | I_kwDODunzps5uuftB | 6,163 | Error type: ArrowInvalid Details: Failed to parse string: '[254,254]' as a scalar of type int32 | {
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"body": "Answered on the forum [here](https://discuss.huggingface.co/t/error-type-arrowinvalid-details-failed-to-parse-string-254-254-as-a-scalar-of-type-int32/51323).",
"created_at": "2023-08-21T13:28:15Z",
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} | ### Describe the bug
I am getting the following error while I am trying to upload the CSV sheet to train a model. My CSV sheet content is exactly same as shown in the example CSV file in the Auto Train page. Attaching screenshot of error for reference. I have also tried converting the index of the answer that are inte... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6162 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6162/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6162/comments | https://api.github.com/repos/huggingface/datasets/issues/6162/events | https://github.com/huggingface/datasets/issues/6162 | 1,856,198,342 | I_kwDODunzps5uo1bG | 6,162 | load_dataset('json',...) from togethercomputer/RedPajama-Data-1T errors when jsonl rows contains different data fields | {
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"body": "Hi ! Feel free to open a discussion at https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T/discussions to ask the file to be fixed (or directly open a PR with the fixed file)\r\n\r\n`datasets` expects all the examples to have the same fields",
"c... | 2023-08-18T07:19:39Z | 2023-08-18T17:00:35Z | null | NONE | null | null | {
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} | ### Describe the bug
When loading some jsonl from redpajama-data-1T github source [togethercomputer/RedPajama-Data-1T](https://huggingface.co/datasets/togethercomputer/RedPajama-Data-1T) fails due to one row of the file containing an extra field called **symlink_target: string>**.
When deleting that line the loading... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6161 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6161/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6161/comments | https://api.github.com/repos/huggingface/datasets/issues/6161/events | https://github.com/huggingface/datasets/pull/6161 | 1,855,794,354 | PR_kwDODunzps5YM0g7 | 6,161 | Fix protocol prefix for Beam | {
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"body": "<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after w... | 2023-08-17T22:40:37Z | 2024-03-18T17:01:21Z | 2024-03-18T17:01:21Z | COLLABORATOR | null | null | null | Fix #6147 | {
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https://api.github.com/repos/huggingface/datasets/issues/6160 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6160/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6160/comments | https://api.github.com/repos/huggingface/datasets/issues/6160/events | https://github.com/huggingface/datasets/pull/6160 | 1,855,760,543 | PR_kwDODunzps5YMtLQ | 6,160 | Fix Parquet loading with `columns` | {
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https://api.github.com/repos/huggingface/datasets/issues/6159 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6159/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6159/comments | https://api.github.com/repos/huggingface/datasets/issues/6159/events | https://github.com/huggingface/datasets/issues/6159 | 1,855,691,512 | I_kwDODunzps5um5r4 | 6,159 | Add `BoundingBox` feature | {
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"body": "My proposal would look like this:\r\n\r\n```python\r\nfrom datasets import load_dataset\r\nfrom datasets.features import Sequence, BboxFeature\r\n\r\n# load images along with boxes\r\ndataset = load_dataset(\"imagefolder\", data_dir=\"/path/to/folder\", split=... | 2023-08-17T20:49:51Z | 2024-11-18T17:58:43Z | null | COLLABORATOR | null | null | {
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} | ... to make working with object detection datasets easier. Currently, `Sequence(int_or_float, length=4)` can be used to represent this feature optimally (in the storage backend), so I only see this feature being useful if we make it work with the viewer. Also, bounding boxes usually come in 4 different formats (explain... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6158 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6158/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6158/comments | https://api.github.com/repos/huggingface/datasets/issues/6158/events | https://github.com/huggingface/datasets/pull/6158 | 1,855,374,220 | PR_kwDODunzps5YLZBf | 6,158 | [docs] Complete `to_iterable_dataset` | {
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"issue_url": "https://api.g... | 2023-08-17T17:02:11Z | 2023-08-17T19:24:20Z | 2023-08-17T19:13:15Z | MEMBER | null | null | null | Finishes the `to_iterable_dataset` documentation by adding it to the relevant sections in the tutorial and guide. | {
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https://api.github.com/repos/huggingface/datasets/issues/6157 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6157/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6157/comments | https://api.github.com/repos/huggingface/datasets/issues/6157/events | https://github.com/huggingface/datasets/issues/6157 | 1,855,265,663 | I_kwDODunzps5ulRt_ | 6,157 | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding' | {
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"author_association": "COLLABORATOR",
"body": "Thanks for reporting, but we can only fix this issue if you can provide a reproducer that consistently reproduces it.",
"created_at": "2023-08-17T17:39:00Z",
"html_url": "https://github.com/huggingface/datasets/issues/6157#issuecomment-1682702201",
... | 2023-08-17T15:48:11Z | 2023-09-27T17:36:14Z | 2023-09-27T17:36:14Z | NONE | null | null | {
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} | ### Describe the bug
When I was in load_dataset, it said "DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'". The second time I ran it, there was no error and the dataset object worked
```python
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https://api.github.com/repos/huggingface/datasets/issues/6156 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6156/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6156/comments | https://api.github.com/repos/huggingface/datasets/issues/6156/events | https://github.com/huggingface/datasets/issues/6156 | 1,854,768,618 | I_kwDODunzps5ujYXq | 6,156 | Why not use self._epoch as seed to shuffle in distributed training with IterableDataset | {
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"no... | 2023-08-17T10:58:20Z | 2023-08-17T14:33:15Z | 2023-08-17T14:33:14Z | CONTRIBUTOR | null | null | {
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} | ### Describe the bug
Currently, distributed training with `IterableDataset` needs to pass fixed seed to shuffle to keep each node use the same seed to avoid overlapping.
https://github.com/huggingface/datasets/blob/a7f8d9019e7cb104eac4106bdc6ec0292f0dc61a/src/datasets/iterable_dataset.py#L1174-L1177
My question ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6155 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6155/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6155/comments | https://api.github.com/repos/huggingface/datasets/issues/6155/events | https://github.com/huggingface/datasets/pull/6155 | 1,854,661,682 | PR_kwDODunzps5YI8Pc | 6,155 | Raise FileNotFoundError when passing data_files that don't exist | {
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https://api.github.com/repos/huggingface/datasets/issues/6151 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6151/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6151/comments | https://api.github.com/repos/huggingface/datasets/issues/6151/events | https://github.com/huggingface/datasets/issues/6151 | 1,851,497,818 | I_kwDODunzps5uW51a | 6,151 | Faster sorting for single key items | {
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{
"author_association": "MEMBER",
"body": "`Dataset.sort` essentially does the same thing except it uses `pyarrow.compute.sort_indices` which doesn't involve copying the data into python objects (saving memory)\r\n\r\n```python\r\nsort_keys = [(col, \"ascending\") for col in column_names]\r\nindices = pc.so... | 2023-08-15T14:02:31Z | 2023-08-21T14:38:26Z | 2023-08-21T14:38:25Z | NONE | null | null | {
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} | ### Feature request
A faster way to sort a dataset which contains a large number of rows.
### Motivation
The current sorting implementations took significantly longer than expected when I was running on a dataset trying to sort by timestamps.
**Code snippet:**
```python
ds = datasets.load_dataset( "json"... | {
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https://api.github.com/repos/huggingface/datasets/issues/6152 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6152/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6152/comments | https://api.github.com/repos/huggingface/datasets/issues/6152/events | https://github.com/huggingface/datasets/issues/6152 | 1,852,494,646 | I_kwDODunzps5uatM2 | 6,152 | FolderBase Dataset automatically resolves under current directory when data_dir is not specified | {
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"no... | 2023-08-16T04:38:09Z | 2025-06-18T14:18:42Z | 2025-06-18T14:18:42Z | CONTRIBUTOR | null | null | {
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} | ### Describe the bug
FolderBase Dataset automatically resolves under current directory when data_dir is not specified.
For example:
```
load_dataset("audiofolder")
```
takes long time to resolve and collect data_files from current directory. But I think it should reach out to this line for error handling https:... | {
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https://api.github.com/repos/huggingface/datasets/issues/6154 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6154/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6154/comments | https://api.github.com/repos/huggingface/datasets/issues/6154/events | https://github.com/huggingface/datasets/pull/6154 | 1,854,595,943 | PR_kwDODunzps5YItlH | 6,154 | Use yaml instead of get data patterns when possible | {
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fix https://github.com/huggingface/datasets/issues/6140 | {
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