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] | null | [] | Run download_and_prepare if missing splits | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6639/timeline | A first step towards https://github.com/huggingface/datasets/issues/6529 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2024-02-01T19:41:42Z | null | https://api.github.com/repos/huggingface/datasets/issues/6638 | null | {
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"Looks like it works with latest datasets repository\r\n```\r\n- `datasets` version: 2.16.2.dev0\r\n- Platform: Linux-5.15.0-92-generic-x86_64-with-glibc2.29\r\n- Python version: 3.8.10\r\n- `huggingface_hub` version: 0.20.3\r\n- PyArrow version: 15.0.0\r\n- Pandas version: 2.0.1\r\n- `fsspec` version: 2023.10.0\r\... | completed | [] | Cannot download wmt16 dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/6638/timeline | ### Describe the bug
As of this morning (PST) 2/1/2024, seeing the wmt16 dataset is missing from opus , could you suggest an alternative?
```
Downloading data files: 0%| | 0/4 [00:00<?, ?it/s]Tra... | https://api.github.com/repos/huggingface/datasets | null | 2,113,329,257 | https://api.github.com/repos/huggingface/datasets/issues/6638/comments | I_kwDODunzps599thp | null | 6,638 | https://api.github.com/repos/huggingface/datasets/issues/6638/events | false |
open | 2024-02-01T17:16:54Z | null | https://api.github.com/repos/huggingface/datasets/issues/6637 | null | {
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"gist... | https://github.com/huggingface/datasets/issues/6637 | [] | false | 2024-02-01T17:16:54Z | null | null | [] | null | [] | 'with_format' is extremely slow when used together with 'interleave_datasets' or 'shuffle' on IterableDatasets | NONE | https://api.github.com/repos/huggingface/datasets/issues/6637/timeline | ### Describe the bug
If you:
1. Interleave two iterable datasets together with the interleave_datasets function, or shuffle an iterable dataset
2. Set the output format to torch tensors with .with_format('torch')
Then iterating through the dataset becomes over 100x slower than it is if you don't apply the torch... | https://api.github.com/repos/huggingface/datasets | null | 2,113,025,975 | https://api.github.com/repos/huggingface/datasets/issues/6637/comments | I_kwDODunzps598je3 | null | 6,637 | https://api.github.com/repos/huggingface/datasets/issues/6637/events | false |
open | 2024-01-31T19:08:28Z | null | https://api.github.com/repos/huggingface/datasets/issues/6636 | null | {
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"Thanks @mariosasko, I made the changes. However, I did some tests with `map` and I stil... | null | [] | Faster column validation in set_format | NONE | https://api.github.com/repos/huggingface/datasets/issues/6636/timeline | I work with bioinformatics data and often these tables have thousands and even tens of thousands of features. These tables are also accompanied by metadata that I do not want to pass in the model. When I perform `set_format('pt', columns=large_column_list)` , it can take several minutes before it finishes. The culprit ... | https://api.github.com/repos/huggingface/datasets | {
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open | 2024-01-31T17:55:21Z | null | https://api.github.com/repos/huggingface/datasets/issues/6635 | null | {
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] | null | [] | Fix missing info when loading some datasets from Parquet export | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6635/timeline | Fix getting the info for script-based datasets with Parquet export with a single config not named "default".
E.g.
```python
from datasets import load_dataset_builder
b = load_dataset_builder("bookcorpus")
print(b.info.features)
# should print {'text': Value(dtype='string', id=None)}
```
I fixed this by ... | https://api.github.com/repos/huggingface/datasets | {
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open | 2024-01-31T14:37:36Z | null | https://api.github.com/repos/huggingface/datasets/issues/6634 | null | {
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This allows users to organize the data files according to their specific needs. For example, "wikimedia/wikipedia" files could be organized by year and/or date, e.g. "2024/20240101/20240101.en". | https://api.github.com/repos/huggingface/datasets | {
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closed | 2024-01-31T13:41:54Z | null | https://api.github.com/repos/huggingface/datasets/issues/6633 | null | {
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open | 2024-01-30T18:52:23Z | null | https://api.github.com/repos/huggingface/datasets/issues/6632 | null | {
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] | null | [] | Fix reload cache with data dir | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6632/timeline | The cache used to only check for the latest cache directory with a given config_name, but it was wrong (e.g. `default-data_dir=data%2Ffortran-data_dir=data%2Ffortran` instead of `default-data_dir=data%2Ffortran`)
I fixed this by not passing the `config_kwargs` to the parent Builder `__init__`, and passing the config... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2024-01-30T12:56:01Z | null | https://api.github.com/repos/huggingface/datasets/issues/6631 | null | {
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cc @stas00 @williamberrios
close https://github.com/huggingface/datasets/issues/6589 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2024-01-29T21:35:55Z | null | https://api.github.com/repos/huggingface/datasets/issues/6630 | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6630). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Hmm these errors look pretty weird... can they be retried?",
"Hi, thanks for working ... | null | [] | Bump max range of dill to 0.3.8 | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6630/timeline | Release on Jan 27, 2024: https://pypi.org/project/dill/0.3.8/#history
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"@huggingface/datasets, feel free to review this PR so that it can be included in the ne... | null | [] | Support push_to_hub without org/user to default to logged-in user | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6629/timeline | This behavior is aligned with:
- the behavior of `datasets` before merging #6519
- the behavior described in the corresponding docstring
- the behavior of `huggingface_hub.create_repo`
Revert "Support push_to_hub canonical datasets (#6519)"
- This reverts commit a887ee78835573f5d80f9e414e8443b4caff3541.
Fix... | https://api.github.com/repos/huggingface/datasets | {
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"@huggingface/datasets, feel free to review this PR so that it can be included in the ne... | null | [] | Make CLI test support multi-processing | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6628/timeline | Support passing `--num_proc` to CLI test.
This was really useful recently to run the command on `pubmed`: https://huggingface.co/datasets/pubmed/discussions/11 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2024-01-29T15:18:21Z | null | https://api.github.com/repos/huggingface/datasets/issues/6627 | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6627). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | null | [] | Disable `tqdm` bars in non-interactive environments | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6627/timeline | Replace `disable=False` with `disable=None` in the `tqdm` bars to disable them in non-interactive environments (by default).
For more info, see a [similar PR](https://github.com/huggingface/huggingface_hub/pull/2000) in `huggingface_hub`. | https://api.github.com/repos/huggingface/datasets | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6626). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | null | [] | Raise error on bad split name | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6626/timeline | e.g. dashes '-' are not allowed in split names
This should add an error message on datasets with unsupported split names like https://huggingface.co/datasets/open-source-metrics/test
cc @AndreaFrancis | https://api.github.com/repos/huggingface/datasets | {
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open | 2024-01-28T03:56:05Z | null | https://api.github.com/repos/huggingface/datasets/issues/6624 | null | {
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"Hi, this dataset has been disabled by the authors, so unfortunately it's no longer possible to download it."
] | null | [] | How to download the laion-coco dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/6624/timeline | The laion coco dataset is not available now. How to download it
https://huggingface.co/datasets/laion/laion-coco | https://api.github.com/repos/huggingface/datasets | null | 2,103,950,718 | https://api.github.com/repos/huggingface/datasets/issues/6624/comments | I_kwDODunzps59Z71- | null | 6,624 | https://api.github.com/repos/huggingface/datasets/issues/6624/events | false |
open | 2024-01-27T23:46:13Z | null | https://api.github.com/repos/huggingface/datasets/issues/6623 | null | {
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"@mariosasko, @lhoestq, @albertvillanova\r\nhey guys! can anyone help? or can you guys suggest who can help with this?",
"Hi ! \r\n\r\n1. When the dataset is running of of examples, the last batches received by the GPU can be incomplete or empty/missing. We haven't implemented yet a way to ignore the last batch. ... | null | [
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] | streaming datasets doesn't work properly with multi-node | NONE | https://api.github.com/repos/huggingface/datasets/issues/6623/timeline | ### Feature request
Let’s say I have a dataset with 5 samples with values [1, 2, 3, 4, 5], with 2 GPUs (for DDP) and batch size of 2. This dataset is an `IterableDataset` since I am streaming it.
Now I split the dataset using `split_dataset_by_node` to ensure it doesn’t get repeated. And since it’s already splitt... | https://api.github.com/repos/huggingface/datasets | null | 2,103,870,123 | https://api.github.com/repos/huggingface/datasets/issues/6623/comments | I_kwDODunzps59ZoKr | null | 6,623 | https://api.github.com/repos/huggingface/datasets/issues/6623/events | false |
open | 2024-01-27T20:06:08Z | null | https://api.github.com/repos/huggingface/datasets/issues/6622 | null | {
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Here is the code for single-GPU processing: https://pastebin.com/bfmEeK2y
Here is the code for multi-GPU processing: https://pastebin.com/gQ7i5AQy
Here is the video showing that the multi-GPU mapping does not work as expected (there are so many things wrong here, it's better to watch the 3-min... | https://api.github.com/repos/huggingface/datasets | null | 2,103,780,697 | https://api.github.com/repos/huggingface/datasets/issues/6622/comments | I_kwDODunzps59ZSVZ | null | 6,622 | https://api.github.com/repos/huggingface/datasets/issues/6622/events | false |
closed | 2024-01-27T16:59:58Z | null | https://api.github.com/repos/huggingface/datasets/issues/6621 | null | {
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open | 2024-01-27T01:00:09Z | null | https://api.github.com/repos/huggingface/datasets/issues/6620 | null | {
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I'm trying to run a rag example, and the dataset is wiki_dpr.
wiki_dpr download and extracting have been completed successfully.
However, at the generating train split stage, an error from wiki_dpr.py keeps popping up.
Especially in "_generate_examples" :
1. The following error occurs in the... | https://api.github.com/repos/huggingface/datasets | null | 2,103,110,536 | https://api.github.com/repos/huggingface/datasets/issues/6620/comments | I_kwDODunzps59WuuI | null | 6,620 | https://api.github.com/repos/huggingface/datasets/issues/6620/events | false |
closed | 2024-01-26T15:27:10Z | null | https://api.github.com/repos/huggingface/datasets/issues/6619 | null | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | null | [] | Migrate from `setup.cfg` to `pyproject.toml` | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6619/timeline | Based on https://github.com/huggingface/huggingface_hub/pull/1971 in `hfh` | https://api.github.com/repos/huggingface/datasets | {
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open | 2024-01-26T09:21:57Z | null | https://api.github.com/repos/huggingface/datasets/issues/6618 | null | {
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"Hi! Can you please share the error's stack trace so we can see where it comes from?"
] | null | [] | While importing load_dataset from datasets | NONE | https://api.github.com/repos/huggingface/datasets/issues/6618/timeline | ### Describe the bug
cannot import name 'DEFAULT_CIPHERS' from 'urllib3.util.ssl_' this is the error i received
### Steps to reproduce the bug
from datasets import load_dataset
### Expected behavior
No errors
### Environment info
python 3.11.5 | https://api.github.com/repos/huggingface/datasets | null | 2,101,868,198 | https://api.github.com/repos/huggingface/datasets/issues/6618/comments | I_kwDODunzps59R_am | null | 6,618 | https://api.github.com/repos/huggingface/datasets/issues/6618/events | false |
closed | 2024-01-25T13:57:41Z | null | https://api.github.com/repos/huggingface/datasets/issues/6617 | null | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | null | [] | Fix CI: pyarrow 15, pandas 2.2 and sqlachemy | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6617/timeline | this should fix the CI failures on `main`
close https://github.com/huggingface/datasets/issues/5477 | https://api.github.com/repos/huggingface/datasets | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6616). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | null | [] | Use schema metadata only if it matches features | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6616/timeline | e.g. if we use `map` in arrow format and transform the table, the returned table might have new columns but the metadata might be wrong | https://api.github.com/repos/huggingface/datasets | {
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] | not_planned | [] | ... | NONE | https://api.github.com/repos/huggingface/datasets/issues/6615/timeline | ... | https://api.github.com/repos/huggingface/datasets | null | 2,098,951,409 | https://api.github.com/repos/huggingface/datasets/issues/6615/comments | I_kwDODunzps59G3Tx | null | 6,615 | https://api.github.com/repos/huggingface/datasets/issues/6615/events | false |
open | 2024-01-24T18:52:10Z | null | https://api.github.com/repos/huggingface/datasets/issues/6614 | null | {
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] | `datasets/downloads` cleanup tool | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6614/timeline | ### Feature request
Splitting off https://github.com/huggingface/huggingface_hub/issues/1997 - currently `huggingface-cli delete-cache` doesn't take care of cleaning `datasets` temp files
e.g. I discovered having millions of files under `datasets/downloads` cache, I had to do:
```
sudo find /data/huggingface/... | https://api.github.com/repos/huggingface/datasets | null | 2,098,884,520 | https://api.github.com/repos/huggingface/datasets/issues/6614/comments | I_kwDODunzps59Gm-o | null | 6,614 | https://api.github.com/repos/huggingface/datasets/issues/6614/events | false |
closed | 2024-01-24T11:38:25Z | null | https://api.github.com/repos/huggingface/datasets/issues/6612 | null | {
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"Hi ! We recently updated `cnn_dailymail` and now `datasets>=2.14` is needed to load it.\r\n\r\nYou can update `datasets` with\r\n\r\n```\r\npip install -U datasets\r\n```"
] | completed | [] | cnn_dailymail repeats itself | NONE | https://api.github.com/repos/huggingface/datasets/issues/6612/timeline | ### Describe the bug
When I try to load `cnn_dailymail` dataset, it takes longer than usual and when I checked the dataset it's 3x bigger than it's supposed to be.
Check https://huggingface.co/datasets/cnn_dailymail: it says 287k rows for train. But when I check length of train split it says 861339.
Also I che... | https://api.github.com/repos/huggingface/datasets | null | 2,098,078,210 | https://api.github.com/repos/huggingface/datasets/issues/6612/comments | I_kwDODunzps59DiIC | null | 6,612 | https://api.github.com/repos/huggingface/datasets/issues/6612/events | false |
open | 2024-01-23T12:37:57Z | null | https://api.github.com/repos/huggingface/datasets/issues/6611 | null | {
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When loading a large dataset (>1000GB) from S3 I run into the following error:
```
Traceback (most recent call last):
File "/home/alp/.local/lib/python3.10/site-packages/s3fs/core.py", line 113, in _error_wrapper
return await func(*args, **kwargs)
File "/home/alp/.local/lib/python3.... | https://api.github.com/repos/huggingface/datasets | null | 2,096,004,858 | https://api.github.com/repos/huggingface/datasets/issues/6611/comments | I_kwDODunzps587n76 | null | 6,611 | https://api.github.com/repos/huggingface/datasets/issues/6611/events | false |
closed | 2024-01-23T09:32:32Z | null | https://api.github.com/repos/huggingface/datasets/issues/6610 | null | {
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"Hi! You are passing the wrong feature type to `cast_column`. This is the fixed call:\r\n```python\r\nais_dataset = ais_dataset.cast_column(\"my_labeled_bbox\", {\"bbox\": Sequence(Value(dtype=\"int64\")), \"label\": ClassLabel(names=[\"cat\", \"dog\"])})\r\n```",
"> Hi! You are passing the wrong feature type to ... | completed | [] | cast_column to Sequence(subfeatures_dict) has err | NONE | https://api.github.com/repos/huggingface/datasets/issues/6610/timeline | ### Describe the bug
I am working with the following demo code:
```
from datasets import load_dataset
from datasets.features import Sequence, Value, ClassLabel, Features
ais_dataset = load_dataset("/data/ryan.gao/ais_dataset_cache/raw/1978/")
ais_dataset = ais_dataset["train"]
def add_class(example):
... | https://api.github.com/repos/huggingface/datasets | null | 2,095,643,711 | https://api.github.com/repos/huggingface/datasets/issues/6610/comments | I_kwDODunzps586Pw_ | null | 6,610 | https://api.github.com/repos/huggingface/datasets/issues/6610/events | false |
open | 2024-01-23T01:47:19Z | null | https://api.github.com/repos/huggingface/datasets/issues/6609 | {
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"+1",
"same error in 2.16.1",
"@kongjiellx any luck with the issue?",
"I opened https://github.com/huggingface/datasets/pull/6632 to fix this issue. Once it's merged we'll do a new release of `datasets`",
"Thanks @lhoestq !"
] | null | [] | Wrong path for cache directory in offline mode | NONE | https://api.github.com/repos/huggingface/datasets/issues/6609/timeline | ### Describe the bug
Dear huggingfacers,
I'm trying to use a subset of the-stack dataset. When I run the command the first time
```
dataset = load_dataset(
path='bigcode/the-stack',
data_dir='data/fortran',
split='train' )
```
It downloads the files and caches them normally.
Nevertheless, ... | https://api.github.com/repos/huggingface/datasets | null | 2,095,085,650 | https://api.github.com/repos/huggingface/datasets/issues/6609/comments | I_kwDODunzps584HhS | null | 6,609 | https://api.github.com/repos/huggingface/datasets/issues/6609/events | false |
closed | 2024-01-22T15:19:16Z | null | https://api.github.com/repos/huggingface/datasets/issues/6608 | null | {
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Let me know if there's any tests I need to clear. | https://api.github.com/repos/huggingface/datasets | {
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"Addressed in https://github.com/huggingface/transformers/pull/28715."
] | completed | [] | ELI5 no longer available, but referenced in example code | NONE | https://api.github.com/repos/huggingface/datasets/issues/6605/timeline | Here, an example code is given:
https://huggingface.co/docs/transformers/tasks/language_modeling
This code + article references the ELI5 dataset.
ELI5 is no longer available, as the ELI5 dataset page states: https://huggingface.co/datasets/eli5
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"I've opened a PR with a fix.",
"I don't think the PR fixes the root cause, since it still relies on the `random` library which will often have its seed fixed. I think the builtin `uuid.uuid4()` is a better choice: https://docs.python.org/3/library/uuid.html"
] | completed | [] | Transform fingerprint collisions due to setting fixed random seed | NONE | https://api.github.com/repos/huggingface/datasets/issues/6604/timeline | ### Describe the bug
The transform fingerprinting logic relies on the `random` library for random bits when the function is not hashable (e.g. bound methods as used in `trl`: https://github.com/huggingface/trl/blob/main/trl/trainer/dpo_trainer.py#L356). This causes collisions when the training code sets a fixed random... | https://api.github.com/repos/huggingface/datasets | null | 2,089,713,945 | https://api.github.com/repos/huggingface/datasets/issues/6604/comments | I_kwDODunzps58joEZ | null | 6,604 | https://api.github.com/repos/huggingface/datasets/issues/6604/events | false |
open | 2024-01-18T23:08:30Z | null | https://api.github.com/repos/huggingface/datasets/issues/6603 | null | {
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"Unfortunately, I'm unable to reproduce this error. Can you share the reproducer?",
"```\r\nds = datasets.Dataset.from_dict(dict(a=[i for i in range(100)]))\r\nds.map(lambda item: dict(b=item['a'] * 2), cache_file_name=\"/tmp/whatever-fn\") # this worked\r\nds.map(lambda item: dict(b=item['a'] * 2), cache_file_na... | null | [] | datasets map `cache_file_name` does not work | NONE | https://api.github.com/repos/huggingface/datasets/issues/6603/timeline | ### Describe the bug
In the documentation `datasets.Dataset.map` arg `cache_file_name` is said to be a string, but it doesn't work.
### Steps to reproduce the bug
1. pick a dataset
2. write a map function
3. do `ds.map(..., cache_file_name='some_filename')`
4. it crashes
### Expected behavior
It will tell you t... | https://api.github.com/repos/huggingface/datasets | null | 2,089,230,766 | https://api.github.com/repos/huggingface/datasets/issues/6603/comments | I_kwDODunzps58hyGu | null | 6,603 | https://api.github.com/repos/huggingface/datasets/issues/6603/events | false |
open | 2024-01-18T23:00:47Z | null | https://api.github.com/repos/huggingface/datasets/issues/6602 | null | {
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At `save_to_disk` step, the `max_shard_size` by default is `500MB`. However, one row of the dataset might be larger than `500MB` then the saving will throw an index error. Without looking at the source code, the bug is due to wrong calculation of number of shards which i think is
`total_size / m... | https://api.github.com/repos/huggingface/datasets | null | 2,089,217,483 | https://api.github.com/repos/huggingface/datasets/issues/6602/comments | I_kwDODunzps58hu3L | null | 6,602 | https://api.github.com/repos/huggingface/datasets/issues/6602/events | false |
open | 2024-01-18T16:16:59Z | null | https://api.github.com/repos/huggingface/datasets/issues/6601 | null | {
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open | 2024-01-18T14:48:27Z | null | https://api.github.com/repos/huggingface/datasets/issues/6600 | null | {
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"Hi! Parquet is the only format that supports complex/nested features such as `Translation`. So, this should work:\r\n```python\r\ntest_dataset = load_dataset(\"opus100\", name=\"en-fr\", split=\"test\")\r\n\r\n# Save with .to_parquet()\r\ntest_parquet_path = \"try_testset_save.parquet\"\r\ntest_dataset.to_parquet(... | null | [] | Loading CSV exported dataset has unexpected format | NONE | https://api.github.com/repos/huggingface/datasets/issues/6600/timeline | ### Describe the bug
I wanted to be able to save a HF dataset for translations and load it again in another script, but I'm a bit confused with the documentation and the result I've got so I'm opening this issue to ask if this behavior is as expected.
### Steps to reproduce the bug
The documentation I've mainly cons... | https://api.github.com/repos/huggingface/datasets | null | 2,088,446,385 | https://api.github.com/repos/huggingface/datasets/issues/6600/comments | I_kwDODunzps58eymx | null | 6,600 | https://api.github.com/repos/huggingface/datasets/issues/6600/events | false |
closed | 2024-01-17T17:51:40Z | null | https://api.github.com/repos/huggingface/datasets/issues/6599 | null | {
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... | https://github.com/huggingface/datasets/issues/6599 | [] | false | 2024-01-23T10:42:17Z | 2024-01-22T15:35:49Z | null | [
"Hi! Non-generic data processing is out of this library's scope, so it's downstream libraries/users' responsibility to implement such logic.",
"That's fair. Thanks"
] | not_planned | [
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] | Easy way to segment into 30s snippets given an m4a file and a vtt file | NONE | https://api.github.com/repos/huggingface/datasets/issues/6599/timeline | ### Feature request
Uploading datasets is straightforward thanks to the ability to push Audio to hub. However, it would be nice if the data (text and audio) could be segmented when being pushed (if not possible already).
### Motivation
It's easy to create a vtt file from an audio file. If there could be auto-segment... | https://api.github.com/repos/huggingface/datasets | null | 2,086,684,664 | https://api.github.com/repos/huggingface/datasets/issues/6599/comments | I_kwDODunzps58YEf4 | null | 6,599 | https://api.github.com/repos/huggingface/datasets/issues/6599/events | false |
open | 2024-01-16T15:16:01Z | null | https://api.github.com/repos/huggingface/datasets/issues/6598 | null | {
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"I am facing similar issue while reading a csv file from s3. Wondering if somebody has found a workaround. ",
"same thing happened to other formats like parquet"
] | null | [] | Unexpected keyword argument 'hf' when downloading CSV dataset from S3 | NONE | https://api.github.com/repos/huggingface/datasets/issues/6598/timeline | ### Describe the bug
I receive this error message when using `load_dataset` with "csv" path and `dataset_files=s3://...`:
```
TypeError: Session.__init__() got an unexpected keyword argument 'hf'
```
I found a similar issue here: https://stackoverflow.com/questions/77596258/aws-issue-load-dataset-from-s3-fails-w... | https://api.github.com/repos/huggingface/datasets | null | 2,084,236,605 | https://api.github.com/repos/huggingface/datasets/issues/6598/comments | I_kwDODunzps58Ou09 | null | 6,598 | https://api.github.com/repos/huggingface/datasets/issues/6598/events | false |
open | 2024-01-16T11:27:07Z | null | https://api.github.com/repos/huggingface/datasets/issues/6597 | {
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"It is caused by these code lines: https://github.com/huggingface/datasets/blob/9d6d16117a30ba345b0236407975f701c5b288d4/src/datasets/dataset_dict.py#L1688-L1694",
"Also note the information in the docstring: https://github.com/huggingface/datasets/blob/9d6d16117a30ba345b0236407975f701c5b288d4/src/datasets/datase... | null | [
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] | Dataset.push_to_hub of a canonical dataset creates an additional dataset under the user namespace | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6597/timeline | While using `Dataset.push_to_hub` of a canonical dataset, an additional dataset was created under my user namespace.
## Steps to reproduce the bug
The command:
```python
commit_info = ds.push_to_hub(
"caner",
config_name="default",
commit_message="Convert dataset to Parquet",
commit_descriptio... | https://api.github.com/repos/huggingface/datasets | null | 2,083,708,521 | https://api.github.com/repos/huggingface/datasets/issues/6597/comments | I_kwDODunzps58Mt5p | null | 6,597 | https://api.github.com/repos/huggingface/datasets/issues/6597/events | false |
closed | 2024-01-16T06:31:54Z | null | https://api.github.com/repos/huggingface/datasets/issues/6596 | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6596). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | null | [] | Drop redundant None guard. | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6596/timeline | `xxx if xxx is not None else None` is no-op. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2024-01-16T02:03:09Z | null | https://api.github.com/repos/huggingface/datasets/issues/6595 | null | {
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"Hi ! I think the issue comes from the \"float16\" features that are not supported yet in Parquet\r\n\r\nFeel free to open an issue in `pyarrow` about this. In the meantime, I'd encourage you to use \"float32\" for your \"pooled_prompt_embeds\" and \"prompt_embeds\" features.\r\n\r\nYou can cast them to \"float32\"... | completed | [] | Loading big dataset raises pyarrow.lib.ArrowNotImplementedError 2 | NONE | https://api.github.com/repos/huggingface/datasets/issues/6595/timeline | ### Describe the bug
I'm aware of the issue #5695 .
I'm using a modified SDXL trainer: https://github.com/kopyl/diffusers/blob/5e70f604155aeecee254a5c63c5e4236ad4a0d3d/examples/text_to_image/train_text_to_image_sdxl.py#L1027C16-L1027C16
So i
1. Map dataset
2. Save to disk
3. Try to upload:
```
import data... | https://api.github.com/repos/huggingface/datasets | null | 2,082,896,148 | https://api.github.com/repos/huggingface/datasets/issues/6595/comments | I_kwDODunzps58JnkU | null | 6,595 | https://api.github.com/repos/huggingface/datasets/issues/6595/events | false |
open | 2024-01-15T22:22:36Z | null | https://api.github.com/repos/huggingface/datasets/issues/6594 | null | {
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The sharding of IterableDatasets with respect to distributed and dataloader worker processes appears problematic with significant performance traps and inconsistencies wrt to distributed train processes vs worker processes.
Splitting across num_workers (per train process loader processes) and... | https://api.github.com/repos/huggingface/datasets | null | 2,082,748,275 | https://api.github.com/repos/huggingface/datasets/issues/6594/comments | I_kwDODunzps58JDdz | null | 6,594 | https://api.github.com/repos/huggingface/datasets/issues/6594/events | false |
open | 2024-01-15T17:05:21Z | null | https://api.github.com/repos/huggingface/datasets/issues/6592 | null | {
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"Hi! `tqdm` doesn't work well in non-interactive environments, so there isn't much we can do about this. It's best to [disable it](https://huggingface.co/docs/datasets/v2.16.1/en/package_reference/utilities#datasets.disable_progress_bars) in such environments and instead use logging to track progress."
] | null | [] | Logs are delayed when doing .map when `docker logs` | NONE | https://api.github.com/repos/huggingface/datasets/issues/6592/timeline | ### Describe the bug
When I run my SD training in a Docker image and then listen to logs like `docker logs train -f`, the progress bar is delayed.
It's updating every few percent.
When you have a large dataset that has to be mapped (like 1+ million samples), it's crucial to see the updates in real-time, not every co... | https://api.github.com/repos/huggingface/datasets | null | 2,082,410,257 | https://api.github.com/repos/huggingface/datasets/issues/6592/comments | I_kwDODunzps58Hw8R | null | 6,592 | https://api.github.com/repos/huggingface/datasets/issues/6592/events | false |
closed | 2024-01-15T16:43:38Z | null | https://api.github.com/repos/huggingface/datasets/issues/6591 | null | {
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"Hi! Indeed, Dropbox is not a reliable host. I've just merged https://huggingface.co/datasets/PolyAI/minds14/discussions/24 to fix this by hosting the data files inside the repo."
] | completed | [] | The datasets models housed in Dropbox can't support a lot of users downloading them | NONE | https://api.github.com/repos/huggingface/datasets/issues/6591/timeline | ### Describe the bug
I'm using the datasets
```
from datasets import load_dataset, Audio
dataset = load_dataset("PolyAI/minds14", name="en-US", split="train")
```
And it seems that sometimes when I imagine a lot of users are accessing the same resources, the Dropbox host fails:
`raise ConnectionError(... | https://api.github.com/repos/huggingface/datasets | null | 2,082,378,957 | https://api.github.com/repos/huggingface/datasets/issues/6591/comments | I_kwDODunzps58HpTN | null | 6,591 | https://api.github.com/repos/huggingface/datasets/issues/6591/events | false |
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{
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"default": true,
"description": "New feature or request",
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"name": "enhancement",
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] | Feature request: Multi-GPU dataset mapping for SDXL training | NONE | https://api.github.com/repos/huggingface/datasets/issues/6590/timeline | ### Feature request
We need to speed up SDXL dataset pre-process. Please make it possible to use multiple GPUs for the [official SDXL trainer](https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/train_text_to_image_sdxl.py) :)
### Motivation
Pre-computing 3 million of images takes around ... | https://api.github.com/repos/huggingface/datasets | null | 2,082,000,084 | https://api.github.com/repos/huggingface/datasets/issues/6590/comments | I_kwDODunzps58GMzU | null | 6,590 | https://api.github.com/repos/huggingface/datasets/issues/6590/events | false |
closed | 2024-01-15T06:46:27Z | null | https://api.github.com/repos/huggingface/datasets/issues/6589 | null | {
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"We'll do a new release of `datasets` in the coming days with a fix !",
"@lhoestq Thank you very much!"
] | completed | [] | After `2.16.0` version, there are `PermissionError` when users use shared cache_dir | NONE | https://api.github.com/repos/huggingface/datasets/issues/6589/timeline | ### Describe the bug
- We use shared `cache_dir` using `HF_HOME="{shared_directory}"`
- After dataset version 2.16.0, datasets uses `filelock` package for file locking #6445
- But, `filelock` package make `.lock` file with `644` permission
- Dataset is not available to other users except the user who created the ... | https://api.github.com/repos/huggingface/datasets | null | 2,081,358,619 | https://api.github.com/repos/huggingface/datasets/issues/6589/comments | I_kwDODunzps58DwMb | null | 6,589 | https://api.github.com/repos/huggingface/datasets/issues/6589/events | false |
closed | 2024-01-15T05:34:36Z | null | https://api.github.com/repos/huggingface/datasets/issues/6588 | null | {
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xlistdir return name is empty string
Overloaded os.listdir
### Steps to reproduce the bug
```python
from datasets.download.streaming_download_manager import xjoin
from datasets.download.streaming_download_manager import xlistdir
config = DownloadConfig(storage_options=options)
manger = Str... | https://api.github.com/repos/huggingface/datasets | null | 2,081,284,253 | https://api.github.com/repos/huggingface/datasets/issues/6588/comments | I_kwDODunzps58DeCd | null | 6,588 | https://api.github.com/repos/huggingface/datasets/issues/6588/events | false |
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6587). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"friendly bump"
] | null | [] | Allow concatenation of datasets with mixed structs | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6587/timeline | Fixes #6466
The idea is to do a recursive check for structs. PyArrow handles it well enough.
For a demo you can do:
```python
from datasets import Dataset, concatenate_datasets
ds = Dataset.from_dict({'speaker': [{'name': 'Ben', 'email': None}]})
ds2 = Dataset.from_dict({'speaker': [{'name': 'Fred', 'e... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2024-01-12T16:08:16Z | null | https://api.github.com/repos/huggingface/datasets/issues/6586 | null | {
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"@JochenSiegWork fyi, that seems to also affect the `trainer.push_to_hub()` method, which I guess also needs to parse that DatasetInfo from the `kwargs` used by `push_to_hub`.\r\nThere is short discussion about it [here](https://github.com/huggingface/blog/issues/1623).\r\nWould be great if you can check if your PR... | null | [] | keep more info in DatasetInfo.from_merge #6585 | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6586/timeline | * try not to merge DatasetInfos if they're equal
* fixes losing DatasetInfo during parallel Dataset.map | https://api.github.com/repos/huggingface/datasets | {
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"Hi ! This issue comes from the fact that `map()` with `num_proc>1` shards the dataset in multiple chunks to be processed (one per process) and merges them. The DatasetInfos of each chunk are then merged together, but for some fields like `dataset_name` it's not been implemented and default to None.\r\n\r\nThe Data... | null | [] | losing DatasetInfo in Dataset.map when num_proc > 1 | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6585/timeline | ### Describe the bug
Hello and thanks for developing this package!
When I process a Dataset with the map function using multiple processors some set attributes of the DatasetInfo get lost and are None in the resulting Dataset.
### Steps to reproduce the bug
```python
from datasets import Dataset, DatasetInfo... | https://api.github.com/repos/huggingface/datasets | null | 2,078,874,005 | https://api.github.com/repos/huggingface/datasets/issues/6585/comments | I_kwDODunzps576RmV | null | 6,585 | https://api.github.com/repos/huggingface/datasets/issues/6585/events | false |
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"@lhoestq\r\nCan you provide me with some ideas？",
"Hi ! What's the error ?",
"@lhoestq \r\n```\r\nTraceback (most recent call last):\r\n File \"/home/dongzf/miniconda3/envs/dataset_ai/lib/python3.11/runpy.py\", line 198, in _run_module_as_main\r\n return _run_code(code, main_globals, None,\r\n ^^... | null | [] | np.fromfile not supported | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6584/timeline | How to do np.fromfile to use it like np.load
```python
def xnumpy_fromfile(filepath_or_buffer, *args, download_config: Optional[DownloadConfig] = None, **kwargs):
import numpy as np
if hasattr(filepath_or_buffer, "read"):
return np.fromfile(filepath_or_buffer, *args, **kwargs)
else:
... | https://api.github.com/repos/huggingface/datasets | null | 2,078,454,878 | https://api.github.com/repos/huggingface/datasets/issues/6584/comments | I_kwDODunzps574rRe | null | 6,584 | https://api.github.com/repos/huggingface/datasets/issues/6584/events | false |
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6583). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | null | [] | remove eli5 test | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6583/timeline | since the dataset is defunct | https://api.github.com/repos/huggingface/datasets | {
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"A toy example to reveal the bug.\r\n\r\n```python\r\n\"\"\"\r\nDATASETS_VERBOSITY=debug torchrun --nproc-per-node 2 main.py \r\n\"\"\"\r\nimport torch.utils.data\r\nimport torch.distributed\r\nimport datasets.distributed\r\nimport datasets\r\n\r\n# num shards = 4\r\nshards = [(0, 100), (100, 200), (200, 300), (300... | null | [] | Fix for Incorrect ex_iterable used with multi num_worker | NONE | https://api.github.com/repos/huggingface/datasets/issues/6582/timeline | Corrects an issue where `self._ex_iterable` was erroneously used instead of `ex_iterable`, when both Distributed Data Parallel (DDP) and multi num_worker are used concurrently. This improper usage led to the generation of incorrect `shards_indices`, subsequently causing issues with the control flow responsible for work... | https://api.github.com/repos/huggingface/datasets | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6581). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"\r\nObj [\"name\"] ends with \"/\"",
"@lhoestq \r\n\r\nhello,\r\nCan you help me chec... | null | [] | fix os.listdir return name is empty string | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6581/timeline | fix #6588
xlistdir return name is empty string
for example：
`
from datasets.download.streaming_download_manager import xjoin
from datasets.download.streaming_download_manager import xlistdir
config = DownloadConfig(storage_options=options)
manger = StreamingDownloadManager("ILSVRC2012",download_config=config... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2024-01-11T03:14:18Z | null | https://api.github.com/repos/huggingface/datasets/issues/6580 | null | {
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... | https://github.com/huggingface/datasets/issues/6580 | [] | false | 2024-01-20T12:46:16Z | 2024-01-20T12:46:16Z | null | [] | completed | [] | dataset cache only stores one config of the dataset in parquet dir, and uses that for all other configs resulting in showing same data in all configs. | NONE | https://api.github.com/repos/huggingface/datasets/issues/6580/timeline | ### Describe the bug
ds = load_dataset("ai2_arc", "ARC-Easy"), i have tried to force redownload, delete cache and changing the cache dir.
### Steps to reproduce the bug
dataset = []
dataset_name = "ai2_arc"
possible_configs = [
'ARC-Challenge',
'ARC-Easy'
]
for config in possible_configs:
data... | https://api.github.com/repos/huggingface/datasets | null | 2,075,645,042 | https://api.github.com/repos/huggingface/datasets/issues/6580/comments | I_kwDODunzps57t9Ry | null | 6,580 | https://api.github.com/repos/huggingface/datasets/issues/6580/events | false |
closed | 2024-01-10T23:44:20Z | null | https://api.github.com/repos/huggingface/datasets/issues/6579 | null | {
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"Hi @haok1402, I have created an issue in the Discussion tab of the corresponding dataset: https://huggingface.co/datasets/eli5/discussions/7\r\nLet's continue the discussion there!"
] | not_planned | [] | Unable to load `eli5` dataset with streaming | NONE | https://api.github.com/repos/huggingface/datasets/issues/6579/timeline | ### Describe the bug
Unable to load `eli5` dataset with streaming.
### Steps to reproduce the bug
This fails with FileNotFoundError: https://files.pushshift.io/reddit/submissions
```
from datasets import load_dataset
load_dataset("eli5", streaming=True)
```
This works correctly.
```
from datasets import lo... | https://api.github.com/repos/huggingface/datasets | null | 2,075,407,473 | https://api.github.com/repos/huggingface/datasets/issues/6579/comments | I_kwDODunzps57tDRx | null | 6,579 | https://api.github.com/repos/huggingface/datasets/issues/6579/events | false |
closed | 2024-01-10T18:18:09Z | null | https://api.github.com/repos/huggingface/datasets/issues/6578 | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6578). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"I added faster streaming support using streaming Requests instances in `huggingface_hub... | null | [] | Faster webdataset streaming | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6578/timeline | requests.get(..., streaming=True) is faster than using HTTP range requests when streaming large TAR files
it can be enabled using block_size=0 in fsspec
cc @rwightman | https://api.github.com/repos/huggingface/datasets | {
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"cc @mariosasko @lhoestq ",
"Hi! We should be able to avoid this error by retrying to read the data when it happens. I'll open a PR in `huggingface_hub` to address this.",
"Thanks for the fix @mariosasko! Just wondering whether \"500 error\" should also be excluded? I got these errors overnight:\r\n\r\n```\r\nh... | completed | [
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] | 502 Server Errors when streaming large dataset | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/6577/timeline | ### Describe the bug
When streaming a [large ASR dataset](https://huggingface.co/datasets/sanchit-gandhi/concatenated-train-set) from the Hug (~3TB) I often encounter 502 Server Errors seemingly randomly during streaming:
```
huggingface_hub.utils._errors.HfHubHTTPError: 502 Server Error: Bad Gateway for url: http... | https://api.github.com/repos/huggingface/datasets | null | 2,074,790,848 | https://api.github.com/repos/huggingface/datasets/issues/6577/comments | I_kwDODunzps57qsvA | null | 6,577 | https://api.github.com/repos/huggingface/datasets/issues/6577/events | false |
closed | 2024-01-10T06:48:14Z | null | https://api.github.com/repos/huggingface/datasets/issues/6576 | null | {
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"Thanks for reporting! I've opened a PR with a fix."
] | completed | [] | document page 404 not found after redirection | NONE | https://api.github.com/repos/huggingface/datasets/issues/6576/timeline | ### Describe the bug
The redirected page encountered 404 not found.
### Steps to reproduce the bug
1. In this tutorial: https://huggingface.co/learn/nlp-course/chapter5/4?fw=pt
original md: https://github.com/huggingface/course/blob/2c733c2246b8b7e0e6f19a9e5d15bb12df43b2a3/chapters/en/chapter5/4.mdx#L49
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6575). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | null | [] | [IterableDataset] Fix `drop_last_batch`in map after shuffling or sharding | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6575/timeline | It was not taken into account e.g. when passing to a DataLoader with num_workers>0
Fix https://github.com/huggingface/datasets/issues/6565 | https://api.github.com/repos/huggingface/datasets | {
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- Fix an issue where user-provided features with additional fields are not taken into account
Close https://github.com/huggingface/datasets/issues/6569 | https://api.github.com/repos/huggingface/datasets | {
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open | 2024-01-09T13:35:44Z | null | https://api.github.com/repos/huggingface/datasets/issues/6572 | null | {
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With the new `multi_part` field of the `DownloadConfig` set, the downloa... | https://api.github.com/repos/huggingface/datasets | {
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] | Make DatasetDict.column_names return a list instead of dict | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6571/timeline | Currently, `DatasetDict.column_names` returns a dict, with each split name as keys and the corresponding list of column names as values.
However, by construction, all splits have the same column names.
I think it makes more sense to return a single list with the column names, which is the same for all the split k... | https://api.github.com/repos/huggingface/datasets | null | 2,072,111,000 | https://api.github.com/repos/huggingface/datasets/issues/6571/comments | I_kwDODunzps57geeY | null | 6,571 | https://api.github.com/repos/huggingface/datasets/issues/6571/events | false |
closed | 2024-01-09T07:43:30Z | null | https://api.github.com/repos/huggingface/datasets/issues/6570 | null | {
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"Though the `build / build_main_documentation` CI job ran for 2.16.0: https://github.com/huggingface/datasets/actions/runs/7300836845/job/19896275099 🤔 ",
"Yes, I saw it. Maybe @mishig25 can give us some hint...",
"fixed https://huggingface.co/docs/datasets/v2.16.0/en/index",
"Still missing 2.16.1.",
"> St... | completed | [
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"descript... | No online docs for 2.16 release | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6570/timeline | We do not have the online docs for the latest minor release 2.16 (2.16.0 nor 2.16.1).
In the online docs, the latest version appearing is 2.15.0: https://huggingface.co/docs/datasets/index
![Screenshot from 2024-01-09 08-43-08](https://github.com/huggingface/datasets/assets/8515462/83613222-867f-41f4-8833-7a4a765... | https://api.github.com/repos/huggingface/datasets | null | 2,071,805,265 | https://api.github.com/repos/huggingface/datasets/issues/6570/comments | I_kwDODunzps57fT1R | null | 6,570 | https://api.github.com/repos/huggingface/datasets/issues/6570/events | false |
closed | 2024-01-08T11:24:21Z | null | https://api.github.com/repos/huggingface/datasets/issues/6569 | {
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"gists... | false | 2024-01-11T16:11:06Z | 2024-01-11T16:11:05Z | null | [] | completed | [] | WebDataset ignores features defined in YAML or passed to load_dataset | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6569/timeline | we should not override if the features exist already
https://github.com/huggingface/datasets/blob/d26abadce0b884db32382b92422d8a6aa997d40a/src/datasets/packaged_modules/webdataset/webdataset.py#L78-L85 | https://api.github.com/repos/huggingface/datasets | null | 2,070,251,122 | https://api.github.com/repos/huggingface/datasets/issues/6569/comments | I_kwDODunzps57ZYZy | null | 6,569 | https://api.github.com/repos/huggingface/datasets/issues/6569/events | false |
open | 2024-01-08T08:03:58Z | null | https://api.github.com/repos/huggingface/datasets/issues/6568 | null | {
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"Seems like I just used the old code which did not have `keep_in_memory=True` argument, sorry.\r\n\r\nAlthough i encountered a different problem – at 97% my python process just hung for around 11 minutes with no logs (when running dataset.map without `keep_in_memory=True` over around 3 million of dataset samples)..... | null | [] | keep_in_memory=True does not seem to work | NONE | https://api.github.com/repos/huggingface/datasets/issues/6568/timeline | UPD: [Fixed](https://github.com/huggingface/datasets/issues/6568#issuecomment-1880817794) . But a new issue came up :( | https://api.github.com/repos/huggingface/datasets | null | 2,069,922,151 | https://api.github.com/repos/huggingface/datasets/issues/6568/comments | I_kwDODunzps57YIFn | null | 6,568 | https://api.github.com/repos/huggingface/datasets/issues/6568/events | false |
closed | 2024-01-08T06:40:21Z | null | https://api.github.com/repos/huggingface/datasets/issues/6567 | null | {
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"I think you are reporting an issue with the `transformers` library. Note this is the repository of the `datasets` library. I recommend that you open an issue in their repository: https://github.com/huggingface/transformers/issues\r\n\r\nEDIT: I have not the rights to transfer the issue\r\n~~I am transferring your ... | completed | [] | AttributeError: 'str' object has no attribute 'to' | NONE | https://api.github.com/repos/huggingface/datasets/issues/6567/timeline | ### Describe the bug
```
--------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
[<ipython-input-6-80c6086794e8>](https://localhost:8080/#) in <cell line: 10>()
8 report_to="wandb")
9
---> 10 trainer =... | https://api.github.com/repos/huggingface/datasets | null | 2,069,808,842 | https://api.github.com/repos/huggingface/datasets/issues/6567/comments | I_kwDODunzps57XsbK | null | 6,567 | https://api.github.com/repos/huggingface/datasets/issues/6567/events | false |
open | 2024-01-08T02:37:03Z | null | https://api.github.com/repos/huggingface/datasets/issues/6566 | null | {
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"I also see the same error and get passed it by casting that line to float. \r\n\r\nso `for x in obj.detach().cpu().numpy()` becomes `for x in obj.detach().to(torch.float).cpu().numpy()`\r\n\r\nI got the idea from [this ](https://github.com/kohya-ss/sd-webui-additional-networks/pull/128/files) PR where someone was... | null | [] | I train controlnet_sdxl in bf16 datatype, got unsupported ERROR in datasets | NONE | https://api.github.com/repos/huggingface/datasets/issues/6566/timeline | ### Describe the bug
```
Traceback (most recent call last):
File "train_controlnet_sdxl.py", line 1252, in <module>
main(args)
File "train_controlnet_sdxl.py", line 1013, in main
train_dataset = train_dataset.map(compute_embeddings_fn, batched=True, new_fingerprint=new_fingerprint)
File "/home/mini... | https://api.github.com/repos/huggingface/datasets | null | 2,069,495,429 | https://api.github.com/repos/huggingface/datasets/issues/6566/comments | I_kwDODunzps57Wf6F | null | 6,566 | https://api.github.com/repos/huggingface/datasets/issues/6566/events | false |
closed | 2024-01-07T02:46:50Z | null | https://api.github.com/repos/huggingface/datasets/issues/6565 | null | {
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"My current workaround this issue is to return `None` in the second element and then filter out samples which have `None` in them.\r\n\r\n```python\r\ndef merge_samples(batch):\r\n if len(batch['a']) == 1:\r\n batch['c'] = [batch['a'][0]]\r\n batch['d'] = [None]\r\n else:\r\n batch['c'] ... | completed | [] | `drop_last_batch=True` for IterableDataset map function is ignored with multiprocessing DataLoader | NONE | https://api.github.com/repos/huggingface/datasets/issues/6565/timeline | ### Describe the bug
Scenario:
- Interleaving two iterable datasets of unequal lengths (`all_exhausted`), followed by a batch mapping with batch size 2 to effectively merge the two datasets and get a sample from each dataset in a single batch, with `drop_last_batch=True` to skip the last batch in case it doesn't ha... | https://api.github.com/repos/huggingface/datasets | null | 2,068,939,670 | https://api.github.com/repos/huggingface/datasets/issues/6565/comments | I_kwDODunzps57UYOW | null | 6,565 | https://api.github.com/repos/huggingface/datasets/issues/6565/events | false |
closed | 2024-01-06T23:48:13Z | null | https://api.github.com/repos/huggingface/datasets/issues/6564 | null | {
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"Thanks for reporting! I've opened a PR with a fix",
"@mariosasko thank you very much :)"
] | completed | [] | `Dataset.filter` missing `with_rank` parameter | NONE | https://api.github.com/repos/huggingface/datasets/issues/6564/timeline | ### Describe the bug
The issue shall be open: https://github.com/huggingface/datasets/issues/6435
When i try to pass `with_rank` to `Dataset.filter()`, i get this:
`Dataset.filter() got an unexpected keyword argument 'with_rank'`
### Steps to reproduce the bug
Run notebook:
https://colab.research.google.com... | https://api.github.com/repos/huggingface/datasets | null | 2,068,893,194 | https://api.github.com/repos/huggingface/datasets/issues/6564/comments | I_kwDODunzps57UM4K | null | 6,564 | https://api.github.com/repos/huggingface/datasets/issues/6564/events | false |
closed | 2024-01-06T02:28:54Z | null | https://api.github.com/repos/huggingface/datasets/issues/6563 | null | {
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"@Wauplin Do you happen to know what's up?",
"<del>Installing `datasets` from `main` did the trick so I guess it will be fixed in the next release.\r\n\r\nNVM https://github.com/huggingface/datasets/blob/d26abadce0b884db32382b92422d8a6aa997d40a/src/datasets/utils/info_utils.py#L5",
"@wasertech upgrading `huggin... | completed | [] | `ImportError`: cannot import name 'insecure_hashlib' from 'huggingface_hub.utils' (.../huggingface_hub/utils/__init__.py) | NONE | https://api.github.com/repos/huggingface/datasets/issues/6563/timeline | ### Describe the bug
Yep its not [there](https://github.com/huggingface/huggingface_hub/blob/main/src/huggingface_hub/utils/__init__.py) anymore.
```text
+ python /home/trainer/sft_train.py --model_name cognitivecomputations/dolphin-2.2.1-mistral-7b --dataset_name wasertech/OneOS --load_in_4bit --use_peft --batch_... | https://api.github.com/repos/huggingface/datasets | null | 2,068,302,402 | https://api.github.com/repos/huggingface/datasets/issues/6563/comments | I_kwDODunzps57R8pC | null | 6,563 | https://api.github.com/repos/huggingface/datasets/issues/6563/events | false |
open | 2024-01-05T19:10:25Z | null | https://api.github.com/repos/huggingface/datasets/issues/6562 | null | {
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I have updated my dataset by adding a new feature, and push it to the hub. When I want to download it on my machine which contain the old version by using `datasets.load_dataset("your_dataset_name", download_mode=datasets.DownloadMode.FORCE_REDOWNLOAD)` I get an error (paste bellow).
Seems that... | https://api.github.com/repos/huggingface/datasets | null | 2,067,904,504 | https://api.github.com/repos/huggingface/datasets/issues/6562/comments | I_kwDODunzps57Qbf4 | null | 6,562 | https://api.github.com/repos/huggingface/datasets/issues/6562/events | false |
open | 2024-01-05T14:03:33Z | null | https://api.github.com/repos/huggingface/datasets/issues/6561 | null | {
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"In particular, I would like to have an example of how to replace the following configuration (from https://huggingface.co/docs/hub/datasets-manual-configuration#splits)\r\n\r\n```\r\n---\r\nconfigs:\r\n- config_name: default\r\n data_files:\r\n - split: train\r\n path: \"data/*.csv\"\r\n - split: test\r\n ... | null | [
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open | 2024-01-04T13:10:58Z | null | https://api.github.com/repos/huggingface/datasets/issues/6560 | null | {
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] | Support Video | NONE | https://api.github.com/repos/huggingface/datasets/issues/6560/timeline | ### Feature request
HF datasets are awesome in supporting text and images. Will be great to see such a support in videos :)
### Motivation
Video generation :)
### Your contribution
Will probably be limited to raising this feature request ;) | https://api.github.com/repos/huggingface/datasets | null | 2,065,637,625 | https://api.github.com/repos/huggingface/datasets/issues/6560/comments | I_kwDODunzps57HyD5 | null | 6,560 | https://api.github.com/repos/huggingface/datasets/issues/6560/events | false |
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"Hi ! The \"allenai--c4\" config doesn't exist (this naming schema comes from old versions of `datasets`)\r\n\r\nYou can load it this way instead:\r\n\r\n```python\r\nfrom datasets import load_dataset\r\ncache_dir = 'path/to/your/cache/directory'\r\ndataset = load_dataset('allenai/c4', data_files={'train': 'en/c4-t... | completed | [] | Latest version 2.16.1, when load dataset error occurs. ValueError: BuilderConfig 'allenai--c4' not found. Available: ['default'] | NONE | https://api.github.com/repos/huggingface/datasets/issues/6559/timeline | ### Describe the bug
python script is:
```
from datasets import load_dataset
cache_dir = 'path/to/your/cache/directory'
dataset = load_dataset('allenai/c4','allenai--c4', data_files={'train': 'en/c4-train.00000-of-01024.json.gz'}, split='train', use_auth_token=False, cache_dir=cache_dir)
```
the script su... | https://api.github.com/repos/huggingface/datasets | null | 2,065,118,332 | https://api.github.com/repos/huggingface/datasets/issues/6559/comments | I_kwDODunzps57FzR8 | null | 6,559 | https://api.github.com/repos/huggingface/datasets/issues/6559/events | false |
open | 2024-01-04T02:15:13Z | null | https://api.github.com/repos/huggingface/datasets/issues/6558 | null | {
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"You can add \r\n\r\n```python\r\nfrom PIL import ImageFile\r\nImageFile.LOAD_TRUNCATED_IMAGES = True\r\n```\r\n\r\nafter the imports to be able to read truncated images."
] | null | [] | OSError: image file is truncated (1 bytes not processed) #28323 | NONE | https://api.github.com/repos/huggingface/datasets/issues/6558/timeline | ### Describe the bug
```
---------------------------------------------------------------------------
OSError Traceback (most recent call last)
Cell In[24], line 28
23 return example
25 # Filter the dataset
26 # filtered_dataset = dataset.filter(contains_number... | https://api.github.com/repos/huggingface/datasets | null | 2,064,885,984 | https://api.github.com/repos/huggingface/datasets/issues/6558/comments | I_kwDODunzps57E6jg | null | 6,558 | https://api.github.com/repos/huggingface/datasets/issues/6558/events | false |
closed | 2024-01-03T16:47:35Z | null | https://api.github.com/repos/huggingface/datasets/issues/6557 | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6557). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"@lhoestq \r\nhello\r\nI think it should be defined in config.py\r\nDATASET_ README_ FIL... | null | [] | Support standalone yaml | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6557/timeline | see (internal) https://huggingface.slack.com/archives/C02V51Q3800/p1703885853581679 | https://api.github.com/repos/huggingface/datasets | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6556). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update."
] | null | [] | Fix imagefolder with one image | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6556/timeline | A dataset repository with one image and one metadata file was considered a JSON dataset instead of an ImageFolder dataset. This is because we pick the dataset type with the most compatible data file extensions present in the repository and it results in a tie in this case.
e.g. for https://huggingface.co/datasets/mu... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2024-01-03T11:33:10Z | null | https://api.github.com/repos/huggingface/datasets/issues/6555 | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6555). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"As shared on slack, `HubDatasetModuleFactoryWithParquetExport` raises a `DatasetsServer... | null | [] | Do not use Parquet exports if revision is passed | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6555/timeline | Fix #6554. | https://api.github.com/repos/huggingface/datasets | {
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"I don't think this bug is a thing ? Do you have some code that leads to this issue ?"
] | completed | [
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] | Parquet exports are used even if revision is passed | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6554/timeline | We should not used Parquet exports if `revision` is passed.
I think this is a regression. | https://api.github.com/repos/huggingface/datasets | null | 2,063,839,916 | https://api.github.com/repos/huggingface/datasets/issues/6554/comments | I_kwDODunzps57A7Ks | null | 6,554 | https://api.github.com/repos/huggingface/datasets/issues/6554/events | false |
open | 2024-01-03T08:18:21Z | null | https://api.github.com/repos/huggingface/datasets/issues/6553 | null | {
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"I don't know My conpany conputer cannot work. but in my computer, it work?",
"Do you have a folder in your working directory called datasets?"
] | null | [] | Cannot import name 'load_dataset' from .... module ‘datasets’ | NONE | https://api.github.com/repos/huggingface/datasets/issues/6553/timeline | ### Describe the bug
use python -m pip install datasets to install
### Steps to reproduce the bug
from datasets import load_dataset
### Expected behavior
it doesn't work
### Environment info
datasets version==2.15.0
python == 3.10.12
linux version I don't know?? | https://api.github.com/repos/huggingface/datasets | null | 2,063,474,183 | https://api.github.com/repos/huggingface/datasets/issues/6553/comments | I_kwDODunzps56_h4H | null | 6,553 | https://api.github.com/repos/huggingface/datasets/issues/6553/events | false |
closed | 2024-01-03T02:18:17Z | null | https://api.github.com/repos/huggingface/datasets/issues/6552 | null | {
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"This bug comes from the `huggingface_hub` library, see: https://github.com/huggingface/huggingface_hub/issues/1952\r\n\r\nA fix is provided at https://github.com/huggingface/huggingface_hub/pull/1953. Feel free to install `huggingface_hub` from this PR, or wait for it to be merged and the new version of `huggingfa... | completed | [] | Loading a dataset from Google Colab hangs at "Resolving data files". | NONE | https://api.github.com/repos/huggingface/datasets/issues/6552/timeline | ### Describe the bug
Hello,
I'm trying to load a dataset from Google Colab but the process hangs at `Resolving data files`:
It is happening when the `_get_origin_metadata` definition is invoked:
```python
d... | https://api.github.com/repos/huggingface/datasets | null | 2,063,157,187 | https://api.github.com/repos/huggingface/datasets/issues/6552/comments | I_kwDODunzps56-UfD | null | 6,552 | https://api.github.com/repos/huggingface/datasets/issues/6552/events | false |
closed | 2024-01-02T18:06:18Z | null | https://api.github.com/repos/huggingface/datasets/issues/6551 | null | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6551). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | null | [] | Fix parallel downloads for datasets without scripts | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6551/timeline | Enable parallel downloads using multiprocessing when `num_proc` is passed to `load_dataset`.
It was enabled for datasets with scripts already (if they passed lists to `dl_manager.download`) but not for no-script datasets (we pass dicts {split: [list of files]} to `dl_manager.download` for those ones).
I fixed thi... | https://api.github.com/repos/huggingface/datasets | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6550). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Thanks @lhoestq . This is a very important fix for code to run on multiple GPUs. Otherw... | null | [] | Multi gpu docs | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6550/timeline | after discussions in https://github.com/huggingface/datasets/pull/6415 | https://api.github.com/repos/huggingface/datasets | {
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open | 2024-01-02T13:26:34Z | null | https://api.github.com/repos/huggingface/datasets/issues/6549 | null | {
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"Maybe we can add a helper message like `Maybe try again using \"hf://path/without/resolve\"` if the path contains `/resolve/` ?\r\n\r\ne.g.\r\n\r\n```\r\nFileNotFoundError: Unable to find 'hf://datasets/HuggingFaceTB/eval_data/resolve/main/eval_data_context_and_answers.json'\r\nIt looks like you used parts of the ... | null | [
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Shouldn't this kinda work ?
```
Dataset.from_json("hf://datasets/HuggingFaceTB/eval_data/resolve/main/eval_data_context_and_answers.json")
```
I got an error
```
File ~/miniconda3/envs/datatrove/lib/python3.10/site-packages/datasets/data_files.py:380, in resolve_pattern(pattern, base_path, al... | https://api.github.com/repos/huggingface/datasets | null | 2,062,420,259 | https://api.github.com/repos/huggingface/datasets/issues/6549/comments | I_kwDODunzps567gkj | null | 6,549 | https://api.github.com/repos/huggingface/datasets/issues/6549/events | false |
open | 2023-12-31T12:41:26Z | null | https://api.github.com/repos/huggingface/datasets/issues/6548 | null | {
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"gis... | https://github.com/huggingface/datasets/issues/6548 | [] | false | 2024-01-02T10:33:17Z | null | null | [
"It looks like a transient DNS issue. It should work fine now if you try again.\r\n\r\nThere is no parameter in load_dataset to skip failed downloads. In your case it would have skipped every single subsequent download until the DNS issue was resolved anyway."
] | null | [] | Skip if a dataset has issues | NONE | https://api.github.com/repos/huggingface/datasets/issues/6548/timeline | ### Describe the bug
Hello everyone,
I'm using **load_datasets** from **huggingface** to download the datasets and I'm facing an issue, the download starts but it reaches some state and then fails with the following error:
Couldn't reach https://huggingface.co/datasets/wikimedia/wikipedia/resolve/4cb9b0d719291f1a10... | https://api.github.com/repos/huggingface/datasets | null | 2,061,047,984 | https://api.github.com/repos/huggingface/datasets/issues/6548/comments | I_kwDODunzps562Riw | null | 6,548 | https://api.github.com/repos/huggingface/datasets/issues/6548/events | false |
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6547). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | null | [] | set dev version | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6547/timeline | null | https://api.github.com/repos/huggingface/datasets | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6546). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | null | [] | Release: 2.16.1 | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6546/timeline | null | https://api.github.com/repos/huggingface/datasets | {
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By default, the standard Image Dataset maps out `file_name` to `image` when loading an Image Dataset.
However, if the dataset contains only 1 image, this does not take place
### Steps to reproduce the bug
Input
(dataset with one image `multimodalart/repro_1_image`)
```py
from data... | https://api.github.com/repos/huggingface/datasets | null | 2,060,789,507 | https://api.github.com/repos/huggingface/datasets/issues/6545/comments | I_kwDODunzps561ScD | null | 6,545 | https://api.github.com/repos/huggingface/datasets/issues/6545/events | false |
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6544). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | null | [] | Fix custom configs from script | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6544/timeline | We should not use the parquet export when the user is passing config_kwargs
I also fixed a regression that would disallow creating a custom config when a dataset has multiple predefined configs
fix https://github.com/huggingface/datasets/issues/6533 | https://api.github.com/repos/huggingface/datasets | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6543). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | null | [] | Fix dl_manager.extract returning FileNotFoundError | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/6543/timeline | The dl_manager base path is remote (e.g. a hf:// path), so local cached paths should be passed as absolute paths.
This could happen if users provide a relative path as `cache_dir`
fix https://github.com/huggingface/datasets/issues/6536 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2023-12-29T08:34:51Z | null | https://api.github.com/repos/huggingface/datasets/issues/6542 | null | {
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"gists_url": "https://a... | https://github.com/huggingface/datasets/issues/6542 | [] | false | 2024-01-02T13:21:06Z | 2024-01-02T13:20:30Z | null | [
"Hi ! We now recommend using the `wikimedia/wikipedia` dataset, can you try loading this one instead ?\r\n\r\n```python\r\nwiki_dataset = load_dataset(\"wikimedia/wikipedia\", \"20231101.en\")\r\n```",
"This bug has been fixed in `2.16.1` thanks to https://github.com/huggingface/datasets/pull/6544, feel free to ... | completed | [] | Datasets : wikipedia 20220301.en error | NONE | https://api.github.com/repos/huggingface/datasets/issues/6542/timeline | ### Describe the bug
When I used load_dataset to download this data set, the following error occurred. The main problem was that the target data did not exist.
### Steps to reproduce the bug
1.I tried downloading directly.
```python
wiki_dataset = load_dataset("wikipedia", "20220301.en")
```
An exception occurre... | https://api.github.com/repos/huggingface/datasets | null | 2,059,198,575 | https://api.github.com/repos/huggingface/datasets/issues/6542/comments | I_kwDODunzps56vOBv | null | 6,542 | https://api.github.com/repos/huggingface/datasets/issues/6542/events | false |
closed | 2023-12-29T01:35:47Z | null | https://api.github.com/repos/huggingface/datasets/issues/6541 | null | {
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"This is a problem with your environment. You should be able to fix it by upgrading `numpy` based on [this](https://github.com/numpy/numpy/issues/23570) issue.",
"Bro I already update numpy package.",
"Then, this shouldn't throw an error on your machine:\r\n```python\r\nimport numpy\r\nnumpy._no_nep50_warning\r... | completed | [] | Dataset not loading successfully. | NONE | https://api.github.com/repos/huggingface/datasets/issues/6541/timeline | ### Describe the bug
When I run down the below code shows this error: AttributeError: module 'numpy' has no attribute '_no_nep50_warning'
I also added this issue in transformers library please check out: [link](https://github.com/huggingface/transformers/issues/28099)
### Steps to reproduce the bug
## Reproduction
... | https://api.github.com/repos/huggingface/datasets | null | 2,058,983,826 | https://api.github.com/repos/huggingface/datasets/issues/6541/comments | I_kwDODunzps56uZmS | null | 6,541 | https://api.github.com/repos/huggingface/datasets/issues/6541/events | false |
open | 2023-12-29T00:44:35Z | null | https://api.github.com/repos/huggingface/datasets/issues/6540 | null | {
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"Concatenating datasets doesn't create any indices mapping - so flattening indices is not needed (unless you shuffle the dataset).\r\nCan you share the snippet of code you are using to merge your datasets and save them to disk ?"
] | null | [] | Extreme inefficiency for `save_to_disk` when merging datasets | NONE | https://api.github.com/repos/huggingface/datasets/issues/6540/timeline | ### Describe the bug
Hi, I tried to merge in total 22M sequences of data, where each sequence is of maximum length 2000. I found that merging these datasets and then `save_to_disk` is extremely slow because of flattening the indices. Wondering if you have any suggestions or guidance on this. Thank you very much!
###... | https://api.github.com/repos/huggingface/datasets | null | 2,058,965,157 | https://api.github.com/repos/huggingface/datasets/issues/6540/comments | I_kwDODunzps56uVCl | null | 6,540 | https://api.github.com/repos/huggingface/datasets/issues/6540/events | false |
open | 2023-12-28T14:18:25Z | null | https://api.github.com/repos/huggingface/datasets/issues/6539 | null | {
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I can't load dataset subsets of 'pragmeval'.
The funny thing is I ran the dataset author's [colab notebook](https://colab.research.google.com/drive/1sg--LF4z7XR1wxAOfp0-3d4J6kQ9nj_A?usp=sharing) and it works just fine. I tried to install exactly the same packages that are installed on colab usi... | https://api.github.com/repos/huggingface/datasets | null | 2,058,493,960 | https://api.github.com/repos/huggingface/datasets/issues/6539/comments | I_kwDODunzps56siAI | null | 6,539 | https://api.github.com/repos/huggingface/datasets/issues/6539/events | false |
closed | 2023-12-27T13:31:16Z | null | https://api.github.com/repos/huggingface/datasets/issues/6538 | null | {
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"Hi ! Are you sure you have `datasets` 2.16 ? I just checked and on 2.16 I can run `from datasets.arrow_writer import SchemaInferenceError` without error",
"I have the same issue - using with datasets version 2.16.1. Also this is on a kaggle notebook - other people with the same issue also seem to be having it on... | completed | [] | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py) | NONE | https://api.github.com/repos/huggingface/datasets/issues/6538/timeline | ### Describe the bug
While importing from packages getting the error
Code:
```
import os
import torch
from datasets import load_dataset, Dataset
from transformers import (
AutoModelForCausalLM,
AutoTokenizer,
BitsAndBytesConfig,
HfArgumentParser,
TrainingArguments,
pipeline,
... | https://api.github.com/repos/huggingface/datasets | null | 2,057,377,630 | https://api.github.com/repos/huggingface/datasets/issues/6538/comments | I_kwDODunzps56oRde | null | 6,538 | https://api.github.com/repos/huggingface/datasets/issues/6538/events | false |
open | 2023-12-27T09:27:29Z | null | https://api.github.com/repos/huggingface/datasets/issues/6537 | null | {
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"Related to #3113 ",
"Conceptually, we can use xarray to load the netCDF file, then xarray -> pandas -> pyarrow.",
"I'd still need to verify that such a conversion would be lossless, especially for multi-dimensional data."
] | null | [
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"name": "enhancement",
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"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement"
}
] | Adding support for netCDF (*.nc) files | NONE | https://api.github.com/repos/huggingface/datasets/issues/6537/timeline | ### Feature request
netCDF (*.nc) is a file format for storing multidimensional scientific data, which is used by packages like `xarray` (labelled multi-dimensional arrays in Python). It would be nice to have native support for netCDF in `datasets`.
### Motivation
When uploading *.nc files onto Huggingface Hub throu... | https://api.github.com/repos/huggingface/datasets | null | 2,057,132,173 | https://api.github.com/repos/huggingface/datasets/issues/6537/comments | I_kwDODunzps56nViN | null | 6,537 | https://api.github.com/repos/huggingface/datasets/issues/6537/events | false |
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