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https://api.github.com/repos/huggingface/datasets/issues/6623 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6623/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6623/comments | https://api.github.com/repos/huggingface/datasets/issues/6623/events | https://github.com/huggingface/datasets/issues/6623 | 2,103,870,123 | I_kwDODunzps59ZoKr | 6,623 | streaming datasets doesn't work properly with multi-node | {
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} | ### 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... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6622 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6622/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6622/comments | https://api.github.com/repos/huggingface/datasets/issues/6622/events | https://github.com/huggingface/datasets/issues/6622 | 2,103,780,697 | I_kwDODunzps59ZSVZ | 6,622 | multi-GPU map does not work | {
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} | ### Describe the bug
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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6620 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6620/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6620/comments | https://api.github.com/repos/huggingface/datasets/issues/6620/events | https://github.com/huggingface/datasets/issues/6620 | 2,103,110,536 | I_kwDODunzps59WuuI | 6,620 | wiki_dpr.py error (ID mismatch between lines {id} and vector {vec_id} | {
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} | ### Describe the bug
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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6619 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6619/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6619/comments | https://api.github.com/repos/huggingface/datasets/issues/6619/events | https://github.com/huggingface/datasets/pull/6619 | 2,102,407,478 | PR_kwDODunzps5lK2VY | 6,619 | Migrate from `setup.cfg` to `pyproject.toml` | {
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https://api.github.com/repos/huggingface/datasets/issues/6618 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6618/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6618/comments | https://api.github.com/repos/huggingface/datasets/issues/6618/events | https://github.com/huggingface/datasets/issues/6618 | 2,101,868,198 | I_kwDODunzps59R_am | 6,618 | While importing load_dataset from datasets | {
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} | ### 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 | {
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https://api.github.com/repos/huggingface/datasets/issues/6617 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6617/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6617/comments | https://api.github.com/repos/huggingface/datasets/issues/6617/events | https://github.com/huggingface/datasets/pull/6617 | 2,100,459,449 | PR_kwDODunzps5lEagV | 6,617 | Fix CI: pyarrow 15, pandas 2.2 and sqlachemy | {
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close https://github.com/huggingface/datasets/issues/5477 | {
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https://api.github.com/repos/huggingface/datasets/issues/6614 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6614/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6614/comments | https://api.github.com/repos/huggingface/datasets/issues/6614/events | https://github.com/huggingface/datasets/issues/6614 | 2,098,884,520 | I_kwDODunzps59Gm-o | 6,614 | `datasets/downloads` cleanup tool | {
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} | ### 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/... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6612 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6612/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6612/comments | https://api.github.com/repos/huggingface/datasets/issues/6612/events | https://github.com/huggingface/datasets/issues/6612 | 2,098,078,210 | I_kwDODunzps59DiIC | 6,612 | cnn_dailymail repeats itself | {
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} | ### 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6611 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6611/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6611/comments | https://api.github.com/repos/huggingface/datasets/issues/6611/events | https://github.com/huggingface/datasets/issues/6611 | 2,096,004,858 | I_kwDODunzps587n76 | 6,611 | `load_from_disk` with large dataset from S3 runs into `botocore.exceptions.ClientError` | {
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} | ### Describe the bug
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.... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6610 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6610/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6610/comments | https://api.github.com/repos/huggingface/datasets/issues/6610/events | https://github.com/huggingface/datasets/issues/6610 | 2,095,643,711 | I_kwDODunzps586Pw_ | 6,610 | cast_column to Sequence(subfeatures_dict) has err | {
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} | ### 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):
... | {
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https://api.github.com/repos/huggingface/datasets/issues/6609 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6609/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6609/comments | https://api.github.com/repos/huggingface/datasets/issues/6609/events | https://github.com/huggingface/datasets/issues/6609 | 2,095,085,650 | I_kwDODunzps584HhS | 6,609 | Wrong path for cache directory in offline mode | {
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"gists... | null | 5 | 2024-01-23 01:47:19+00:00 | 2024-02-06 17:21:25+00:00 | 2024-02-06 17:21:25+00:00 | NONE | null | null | {
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} | ### 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, ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6608 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6608/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6608/comments | https://api.github.com/repos/huggingface/datasets/issues/6608/events | https://github.com/huggingface/datasets/pull/6608 | 2,094,153,292 | PR_kwDODunzps5ku_lN | 6,608 | Add `with_rank` param to `Dataset.filter` | {
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https://api.github.com/repos/huggingface/datasets/issues/6607 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6607/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6607/comments | https://api.github.com/repos/huggingface/datasets/issues/6607/events | https://github.com/huggingface/datasets/pull/6607 | 2,091,766,063 | PR_kwDODunzps5knGse | 6,607 | Update features.py to avoid bfloat16 unsupported error | {
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"gists_url"... | [] | closed | false | null | [] | null | 3 | 2024-01-20 00:39:44+00:00 | 2024-05-17 09:46:29+00:00 | 2024-05-17 09:40:13+00:00 | CONTRIBUTOR | null | null | null | null | Fixes https://github.com/huggingface/datasets/issues/6566
Let me know if there's any tests I need to clear. | {
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https://api.github.com/repos/huggingface/datasets/issues/6606 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6606/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6606/comments | https://api.github.com/repos/huggingface/datasets/issues/6606/events | https://github.com/huggingface/datasets/pull/6606 | 2,091,088,785 | PR_kwDODunzps5kk3KB | 6,606 | Dedicated RNG object for fingerprinting | {
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https://api.github.com/repos/huggingface/datasets/issues/6605 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6605/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6605/comments | https://api.github.com/repos/huggingface/datasets/issues/6605/events | https://github.com/huggingface/datasets/issues/6605 | 2,090,188,376 | I_kwDODunzps58lb5Y | 6,605 | ELI5 no longer available, but referenced in example code | {
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} | 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
"Defunct: Dataset "eli5" is defunct and no longer accessible due to u... | {
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https://api.github.com/repos/huggingface/datasets/issues/6604 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6604/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6604/comments | https://api.github.com/repos/huggingface/datasets/issues/6604/events | https://github.com/huggingface/datasets/issues/6604 | 2,089,713,945 | I_kwDODunzps58joEZ | 6,604 | Transform fingerprint collisions due to setting fixed random seed | {
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} | ### 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6603 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6603/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6603/comments | https://api.github.com/repos/huggingface/datasets/issues/6603/events | https://github.com/huggingface/datasets/issues/6603 | 2,089,230,766 | I_kwDODunzps58hyGu | 6,603 | datasets map `cache_file_name` does not work | {
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"gist... | [] | open | false | null | [] | null | 2 | 2024-01-18 23:08:30+00:00 | 2024-01-28 04:01:15+00:00 | NaT | NONE | null | null | {
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"total_blocking": 0
} | ### 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... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6602 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6602/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6602/comments | https://api.github.com/repos/huggingface/datasets/issues/6602/events | https://github.com/huggingface/datasets/issues/6602 | 2,089,217,483 | I_kwDODunzps58hu3L | 6,602 | Index error when data is large | {
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} | ### Describe the bug
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... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6601 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6601/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6601/comments | https://api.github.com/repos/huggingface/datasets/issues/6601/events | https://github.com/huggingface/datasets/pull/6601 | 2,088,624,054 | PR_kwDODunzps5kcWN0 | 6,601 | add safety checks when using only part of dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/6600 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6600/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6600/comments | https://api.github.com/repos/huggingface/datasets/issues/6600/events | https://github.com/huggingface/datasets/issues/6600 | 2,088,446,385 | I_kwDODunzps58eymx | 6,600 | Loading CSV exported dataset has unexpected format | {
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} | ### 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... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6599 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6599/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6599/comments | https://api.github.com/repos/huggingface/datasets/issues/6599/events | https://github.com/huggingface/datasets/issues/6599 | 2,086,684,664 | I_kwDODunzps58YEf4 | 6,599 | Easy way to segment into 30s snippets given an m4a file and a vtt file | {
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] | closed | false | null | [] | null | 2 | 2024-01-17 17:51:40+00:00 | 2024-01-23 10:42:17+00:00 | 2024-01-22 15:35:49+00:00 | NONE | null | null | {
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} | ### 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6598 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6598/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6598/comments | https://api.github.com/repos/huggingface/datasets/issues/6598/events | https://github.com/huggingface/datasets/issues/6598 | 2,084,236,605 | I_kwDODunzps58Ou09 | 6,598 | Unexpected keyword argument 'hf' when downloading CSV dataset from S3 | {
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} | ### 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6597 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6597/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6597/comments | https://api.github.com/repos/huggingface/datasets/issues/6597/events | https://github.com/huggingface/datasets/issues/6597 | 2,083,708,521 | I_kwDODunzps58Mt5p | 6,597 | Dataset.push_to_hub of a canonical dataset creates an additional dataset under the user namespace | {
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} | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6596 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6596/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6596/comments | https://api.github.com/repos/huggingface/datasets/issues/6596/events | https://github.com/huggingface/datasets/pull/6596 | 2,083,108,156 | PR_kwDODunzps5kJceH | 6,596 | Drop redundant None guard. | {
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https://api.github.com/repos/huggingface/datasets/issues/6595 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6595/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6595/comments | https://api.github.com/repos/huggingface/datasets/issues/6595/events | https://github.com/huggingface/datasets/issues/6595 | 2,082,896,148 | I_kwDODunzps58JnkU | 6,595 | Loading big dataset raises pyarrow.lib.ArrowNotImplementedError 2 | {
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} | ### 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6594 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6594/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6594/comments | https://api.github.com/repos/huggingface/datasets/issues/6594/events | https://github.com/huggingface/datasets/issues/6594 | 2,082,748,275 | I_kwDODunzps58JDdz | 6,594 | IterableDataset sharding logic needs improvement | {
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} | ### Describe the bug
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... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6592 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6592/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6592/comments | https://api.github.com/repos/huggingface/datasets/issues/6592/events | https://github.com/huggingface/datasets/issues/6592 | 2,082,410,257 | I_kwDODunzps58Hw8R | 6,592 | Logs are delayed when doing .map when `docker logs` | {
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} | ### 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6591 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6591/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6591/comments | https://api.github.com/repos/huggingface/datasets/issues/6591/events | https://github.com/huggingface/datasets/issues/6591 | 2,082,378,957 | I_kwDODunzps58HpTN | 6,591 | The datasets models housed in Dropbox can't support a lot of users downloading them | {
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} | ### 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(... | {
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https://api.github.com/repos/huggingface/datasets/issues/6590 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6590/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6590/comments | https://api.github.com/repos/huggingface/datasets/issues/6590/events | https://github.com/huggingface/datasets/issues/6590 | 2,082,000,084 | I_kwDODunzps58GMzU | 6,590 | Feature request: Multi-GPU dataset mapping for SDXL training | {
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] | open | false | null | [] | null | 0 | 2024-01-15 13:06:06+00:00 | 2024-01-15 13:07:07+00:00 | NaT | NONE | null | null | {
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} | ### 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 ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6589 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6589/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6589/comments | https://api.github.com/repos/huggingface/datasets/issues/6589/events | https://github.com/huggingface/datasets/issues/6589 | 2,081,358,619 | I_kwDODunzps58DwMb | 6,589 | After `2.16.0` version, there are `PermissionError` when users use shared cache_dir | {
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} | ### 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 ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6588 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6588/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6588/comments | https://api.github.com/repos/huggingface/datasets/issues/6588/events | https://github.com/huggingface/datasets/issues/6588 | 2,081,284,253 | I_kwDODunzps58DeCd | 6,588 | fix os.listdir return name is empty string | {
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} | ### Describe the bug
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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6587 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6587/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6587/comments | https://api.github.com/repos/huggingface/datasets/issues/6587/events | https://github.com/huggingface/datasets/pull/6587 | 2,080,348,016 | PR_kwDODunzps5kAT_5 | 6,587 | Allow concatenation of datasets with mixed structs | {
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"gists_url": "https:/... | [] | closed | false | null | [] | null | 3 | 2024-01-13 15:33:20+00:00 | 2024-02-15 15:20:06+00:00 | 2024-02-08 14:38:32+00:00 | CONTRIBUTOR | null | null | null | null | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6586 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6586/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6586/comments | https://api.github.com/repos/huggingface/datasets/issues/6586/events | https://github.com/huggingface/datasets/pull/6586 | 2,079,192,651 | PR_kwDODunzps5j8aJn | 6,586 | keep more info in DatasetInfo.from_merge #6585 | {
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... | [] | closed | false | null | [] | null | 4 | 2024-01-12 16:08:16+00:00 | 2024-01-26 15:59:35+00:00 | 2024-01-26 15:53:28+00:00 | CONTRIBUTOR | null | null | null | null | * try not to merge DatasetInfos if they're equal
* fixes losing DatasetInfo during parallel Dataset.map | {
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https://api.github.com/repos/huggingface/datasets/issues/6585 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6585/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6585/comments | https://api.github.com/repos/huggingface/datasets/issues/6585/events | https://github.com/huggingface/datasets/issues/6585 | 2,078,874,005 | I_kwDODunzps576RmV | 6,585 | losing DatasetInfo in Dataset.map when num_proc > 1 | {
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"following_url": "https://api.github.com/users/JochenSiegWork/following{/ot... | null | 2 | 2024-01-12 13:39:19+00:00 | 2024-01-12 14:08:24+00:00 | NaT | CONTRIBUTOR | null | null | {
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} | ### 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... | null | {
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```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:
... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6583 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6583/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6583/comments | https://api.github.com/repos/huggingface/datasets/issues/6583/events | https://github.com/huggingface/datasets/pull/6583 | 2,077,049,491 | PR_kwDODunzps5j1DzY | 6,583 | remove eli5 test | {
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https://api.github.com/repos/huggingface/datasets/issues/6582 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6582/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6582/comments | https://api.github.com/repos/huggingface/datasets/issues/6582/events | https://github.com/huggingface/datasets/pull/6582 | 2,076,072,101 | PR_kwDODunzps5jxpry | 6,582 | Fix for Incorrect ex_iterable used with multi num_worker | {
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https://api.github.com/repos/huggingface/datasets/issues/6581 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6581/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6581/comments | https://api.github.com/repos/huggingface/datasets/issues/6581/events | https://github.com/huggingface/datasets/pull/6581 | 2,075,919,265 | PR_kwDODunzps5jxIbt | 6,581 | fix os.listdir return name is empty string | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6580 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6580/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6580/comments | https://api.github.com/repos/huggingface/datasets/issues/6580/events | https://github.com/huggingface/datasets/issues/6580 | 2,075,645,042 | I_kwDODunzps57t9Ry | 6,580 | 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. | {
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... | [] | closed | false | null | [] | null | 0 | 2024-01-11 03:14:18+00:00 | 2024-01-20 12:46:16+00:00 | 2024-01-20 12:46:16+00:00 | NONE | null | null | {
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} | {
"blocked_by": 0,
"blocking": 0,
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"total_blocking": 0
} | ### 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6579 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6579/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6579/comments | https://api.github.com/repos/huggingface/datasets/issues/6579/events | https://github.com/huggingface/datasets/issues/6579 | 2,075,407,473 | I_kwDODunzps57tDRx | 6,579 | Unable to load `eli5` dataset with streaming | {
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"gists_url": "htt... | [] | closed | false | null | [] | null | 1 | 2024-01-10 23:44:20+00:00 | 2024-01-11 09:19:18+00:00 | 2024-01-11 09:19:17+00:00 | NONE | null | null | {
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} | {
"blocked_by": 0,
"blocking": 0,
"total_blocked_by": 0,
"total_blocking": 0
} | ### 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6578 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6578/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6578/comments | https://api.github.com/repos/huggingface/datasets/issues/6578/events | https://github.com/huggingface/datasets/pull/6578 | 2,074,923,321 | PR_kwDODunzps5jtthB | 6,578 | Faster webdataset streaming | {
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"gists_url": "https:... | [] | closed | false | null | [] | null | 3 | 2024-01-10 18:18:09+00:00 | 2024-01-30 18:46:02+00:00 | 2024-01-30 18:39:51+00:00 | MEMBER | null | null | null | null | 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 | {
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https://api.github.com/repos/huggingface/datasets/issues/6577 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6577/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6577/comments | https://api.github.com/repos/huggingface/datasets/issues/6577/events | https://github.com/huggingface/datasets/issues/6577 | 2,074,790,848 | I_kwDODunzps57qsvA | 6,577 | 502 Server Errors when streaming large dataset | {
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... | [
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"name": "streaming",
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] | closed | false | null | [] | null | 6 | 2024-01-10 16:59:36+00:00 | 2024-02-12 11:46:03+00:00 | 2024-01-15 16:05:44+00:00 | CONTRIBUTOR | null | null | {
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} | {
"blocked_by": 0,
"blocking": 0,
"total_blocked_by": 0,
"total_blocking": 0
} | ### 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6576 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6576/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6576/comments | https://api.github.com/repos/huggingface/datasets/issues/6576/events | https://github.com/huggingface/datasets/issues/6576 | 2,073,710,124 | I_kwDODunzps57mk4s | 6,576 | document page 404 not found after redirection | {
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"gists_url"... | [] | closed | false | null | [] | null | 1 | 2024-01-10 06:48:14+00:00 | 2024-01-17 14:01:31+00:00 | 2024-01-17 14:01:31+00:00 | NONE | null | null | {
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"blocked_by": 0,
"blocking": 0,
"total_blocked_by": 0,
"total_blocking": 0
} | ### 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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https://api.github.com/repos/huggingface/datasets/issues/6575 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6575/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6575/comments | https://api.github.com/repos/huggingface/datasets/issues/6575/events | https://github.com/huggingface/datasets/pull/6575 | 2,072,617,406 | PR_kwDODunzps5jl1V6 | 6,575 | [IterableDataset] Fix `drop_last_batch`in map after shuffling or sharding | {
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Fix https://github.com/huggingface/datasets/issues/6565 | {
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https://api.github.com/repos/huggingface/datasets/issues/6574 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6574/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6574/comments | https://api.github.com/repos/huggingface/datasets/issues/6574/events | https://github.com/huggingface/datasets/pull/6574 | 2,072,579,549 | PR_kwDODunzps5jltBC | 6,574 | Fix tests based on datasets that used to have scripts | {
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https://api.github.com/repos/huggingface/datasets/issues/6573 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6573/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6573/comments | https://api.github.com/repos/huggingface/datasets/issues/6573/events | https://github.com/huggingface/datasets/pull/6573 | 2,072,553,951 | PR_kwDODunzps5jlnaj | 6,573 | [WebDataset] Audio support and bug fixes | {
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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 | {
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https://api.github.com/repos/huggingface/datasets/issues/6572 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6572/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6572/comments | https://api.github.com/repos/huggingface/datasets/issues/6572/events | https://github.com/huggingface/datasets/pull/6572 | 2,072,384,281 | PR_kwDODunzps5jlCO5 | 6,572 | Adding option for multipart achive download | {
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https://api.github.com/repos/huggingface/datasets/issues/6571 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6571/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6571/comments | https://api.github.com/repos/huggingface/datasets/issues/6571/events | https://github.com/huggingface/datasets/issues/6571 | 2,072,111,000 | I_kwDODunzps57geeY | 6,571 | Make DatasetDict.column_names return a list instead of dict | {
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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... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6570 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6570/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6570/comments | https://api.github.com/repos/huggingface/datasets/issues/6570/events | https://github.com/huggingface/datasets/issues/6570 | 2,071,805,265 | I_kwDODunzps57fT1R | 6,570 | No online docs for 2.16 release | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6567 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6567/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6567/comments | https://api.github.com/repos/huggingface/datasets/issues/6567/events | https://github.com/huggingface/datasets/issues/6567 | 2,069,808,842 | I_kwDODunzps57XsbK | 6,567 | AttributeError: 'str' object has no attribute 'to' | {
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```
--------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
[<ipython-input-6-80c6086794e8>](https://localhost:8080/#) in <cell line: 10>()
8 report_to="wandb")
9
---> 10 trainer =... | {
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https://api.github.com/repos/huggingface/datasets/issues/6566 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6566/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6566/comments | https://api.github.com/repos/huggingface/datasets/issues/6566/events | https://github.com/huggingface/datasets/issues/6566 | 2,069,495,429 | I_kwDODunzps57Wf6F | 6,566 | I train controlnet_sdxl in bf16 datatype, got unsupported ERROR in datasets | {
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] | closed | false | null | [] | null | 1 | 2024-01-08 02:37:03+00:00 | 2024-06-02 14:24:39+00:00 | 2024-05-17 09:40:14+00:00 | NONE | null | null | {
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```
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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6565 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6565/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6565/comments | https://api.github.com/repos/huggingface/datasets/issues/6565/events | https://github.com/huggingface/datasets/issues/6565 | 2,068,939,670 | I_kwDODunzps57UYOW | 6,565 | `drop_last_batch=True` for IterableDataset map function is ignored with multiprocessing DataLoader | {
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} | ### 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6564 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6564/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6564/comments | https://api.github.com/repos/huggingface/datasets/issues/6564/events | https://github.com/huggingface/datasets/issues/6564 | 2,068,893,194 | I_kwDODunzps57UM4K | 6,564 | `Dataset.filter` missing `with_rank` parameter | {
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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... | {
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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_... | {
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https://api.github.com/repos/huggingface/datasets/issues/6562 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6562/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6562/comments | https://api.github.com/repos/huggingface/datasets/issues/6562/events | https://github.com/huggingface/datasets/issues/6562 | 2,067,904,504 | I_kwDODunzps57Qbf4 | 6,562 | datasets.DownloadMode.FORCE_REDOWNLOAD use cache to download dataset features with load_dataset function | {
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} | ### Describe the bug
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... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6561 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6561/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6561/comments | https://api.github.com/repos/huggingface/datasets/issues/6561/events | https://github.com/huggingface/datasets/issues/6561 | 2,067,404,951 | I_kwDODunzps57OhiX | 6,561 | Document YAML configuration with "data_dir" | {
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https://api.github.com/repos/huggingface/datasets/issues/6560 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6560/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6560/comments | https://api.github.com/repos/huggingface/datasets/issues/6560/events | https://github.com/huggingface/datasets/issues/6560 | 2,065,637,625 | I_kwDODunzps57HyD5 | 6,560 | Support Video | {
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... | closed | false | null | [] | null | 1 | 2024-01-04 13:10:58+00:00 | 2024-08-23 09:51:27+00:00 | 2024-08-23 09:51:27+00:00 | NONE | null | null | {
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} | ### 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 ;) | {
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https://api.github.com/repos/huggingface/datasets/issues/6559 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6559/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6559/comments | https://api.github.com/repos/huggingface/datasets/issues/6559/events | https://github.com/huggingface/datasets/issues/6559 | 2,065,118,332 | I_kwDODunzps57FzR8 | 6,559 | Latest version 2.16.1, when load dataset error occurs. ValueError: BuilderConfig 'allenai--c4' not found. Available: ['default'] | {
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} | ### 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6558 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6558/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6558/comments | https://api.github.com/repos/huggingface/datasets/issues/6558/events | https://github.com/huggingface/datasets/issues/6558 | 2,064,885,984 | I_kwDODunzps57E6jg | 6,558 | OSError: image file is truncated (1 bytes not processed) #28323 | {
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```
---------------------------------------------------------------------------
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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6557 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6557/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6557/comments | https://api.github.com/repos/huggingface/datasets/issues/6557/events | https://github.com/huggingface/datasets/pull/6557 | 2,064,341,965 | PR_kwDODunzps5jJ63z | 6,557 | Support standalone yaml | {
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https://api.github.com/repos/huggingface/datasets/issues/6556 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6556/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6556/comments | https://api.github.com/repos/huggingface/datasets/issues/6556/events | https://github.com/huggingface/datasets/pull/6556 | 2,064,018,208 | PR_kwDODunzps5jI0nN | 6,556 | Fix imagefolder with one image | {
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e.g. for https://huggingface.co/datasets/mu... | {
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I think this is a regression. | {
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} | ### 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?? | {
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https://api.github.com/repos/huggingface/datasets/issues/6552 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6552/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6552/comments | https://api.github.com/repos/huggingface/datasets/issues/6552/events | https://github.com/huggingface/datasets/issues/6552 | 2,063,157,187 | I_kwDODunzps56-UfD | 6,552 | Loading a dataset from Google Colab hangs at "Resolving data files". | {
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} | ### 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6551 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6551/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6551/comments | https://api.github.com/repos/huggingface/datasets/issues/6551/events | https://github.com/huggingface/datasets/pull/6551 | 2,062,768,400 | PR_kwDODunzps5jEi1C | 6,551 | Fix parallel downloads for datasets without scripts | {
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"gists_url": "https:... | [] | closed | false | null | [] | null | 4 | 2024-01-02 18:06:18+00:00 | 2024-01-06 20:14:57+00:00 | 2024-01-03 13:19:48+00:00 | MEMBER | null | null | null | null | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6550 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6550/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6550/comments | https://api.github.com/repos/huggingface/datasets/issues/6550/events | https://github.com/huggingface/datasets/pull/6550 | 2,062,556,493 | PR_kwDODunzps5jD1OL | 6,550 | Multi gpu docs | {
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https://api.github.com/repos/huggingface/datasets/issues/6549 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6549/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6549/comments | https://api.github.com/repos/huggingface/datasets/issues/6549/events | https://github.com/huggingface/datasets/issues/6549 | 2,062,420,259 | I_kwDODunzps567gkj | 6,549 | Loading from hf hub with clearer error message | {
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} | ### Feature request
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... | null | {
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} | ### 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... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6547 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6547/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6547/comments | https://api.github.com/repos/huggingface/datasets/issues/6547/events | https://github.com/huggingface/datasets/pull/6547 | 2,060,796,927 | PR_kwDODunzps5i-Jni | 6,547 | set dev version | {
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https://api.github.com/repos/huggingface/datasets/issues/6546 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6546/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6546/comments | https://api.github.com/repos/huggingface/datasets/issues/6546/events | https://github.com/huggingface/datasets/pull/6546 | 2,060,796,369 | PR_kwDODunzps5i-Jgv | 6,546 | Release: 2.16.1 | {
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https://api.github.com/repos/huggingface/datasets/issues/6545 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6545/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6545/comments | https://api.github.com/repos/huggingface/datasets/issues/6545/events | https://github.com/huggingface/datasets/issues/6545 | 2,060,789,507 | I_kwDODunzps561ScD | 6,545 | `image` column not automatically inferred if image dataset only contains 1 image | {
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} | ### Describe the bug
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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6544 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6544/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6544/comments | https://api.github.com/repos/huggingface/datasets/issues/6544/events | https://github.com/huggingface/datasets/pull/6544 | 2,060,782,594 | PR_kwDODunzps5i-G4_ | 6,544 | Fix custom configs from script | {
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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 | {
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This could happen if users provide a relative path as `cache_dir`
fix https://github.com/huggingface/datasets/issues/6536 | {
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https://api.github.com/repos/huggingface/datasets/issues/6542 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6542/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6542/comments | https://api.github.com/repos/huggingface/datasets/issues/6542/events | https://github.com/huggingface/datasets/issues/6542 | 2,059,198,575 | I_kwDODunzps56vOBv | 6,542 | Datasets : wikipedia 20220301.en error | {
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} | ### 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6541 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6541/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6541/comments | https://api.github.com/repos/huggingface/datasets/issues/6541/events | https://github.com/huggingface/datasets/issues/6541 | 2,058,983,826 | I_kwDODunzps56uZmS | 6,541 | Dataset not loading successfully. | {
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} | ### 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
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https://api.github.com/repos/huggingface/datasets/issues/6540 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6540/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6540/comments | https://api.github.com/repos/huggingface/datasets/issues/6540/events | https://github.com/huggingface/datasets/issues/6540 | 2,058,965,157 | I_kwDODunzps56uVCl | 6,540 | Extreme inefficiency for `save_to_disk` when merging datasets | {
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} | ### 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!
###... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6539 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6539/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6539/comments | https://api.github.com/repos/huggingface/datasets/issues/6539/events | https://github.com/huggingface/datasets/issues/6539 | 2,058,493,960 | I_kwDODunzps56siAI | 6,539 | 'Repo card metadata block was not found' when loading a pragmeval dataset | {
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} | ### Describe the bug
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... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6538 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6538/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6538/comments | https://api.github.com/repos/huggingface/datasets/issues/6538/events | https://github.com/huggingface/datasets/issues/6538 | 2,057,377,630 | I_kwDODunzps56oRde | 6,538 | ImportError: cannot import name 'SchemaInferenceError' from 'datasets.arrow_writer' (/opt/conda/lib/python3.10/site-packages/datasets/arrow_writer.py) | {
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} | ### 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,
... | {
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https://api.github.com/repos/huggingface/datasets/issues/6537 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6537/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6537/comments | https://api.github.com/repos/huggingface/datasets/issues/6537/events | https://github.com/huggingface/datasets/issues/6537 | 2,057,132,173 | I_kwDODunzps56nViN | 6,537 | Adding support for netCDF (*.nc) files | {
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} | ### 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... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6536 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6536/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6536/comments | https://api.github.com/repos/huggingface/datasets/issues/6536/events | https://github.com/huggingface/datasets/issues/6536 | 2,056,863,239 | I_kwDODunzps56mT4H | 6,536 | datasets.load_dataset raises FileNotFoundError for datasets==2.16.0 | {
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} | ### Describe the bug
Seems `datasets.load_dataset` raises FileNotFoundError for some hub datasets with the latest `datasets==2.16.0`
### Steps to reproduce the bug
For example `pip install datasets==2.16.0`
then
```python
import datasets
datasets.load_dataset("wentingzhao/anthropic-hh-first-prompt", cache_di... | {
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https://api.github.com/repos/huggingface/datasets/issues/6535 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6535/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6535/comments | https://api.github.com/repos/huggingface/datasets/issues/6535/events | https://github.com/huggingface/datasets/issues/6535 | 2,056,264,339 | I_kwDODunzps56kBqT | 6,535 | IndexError: Invalid key: 47682 is out of bounds for size 0 while using PEFT | {
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} | ### Describe the bug
I am trying to fine-tune the t5 model on the paraphrasing task. While running the same code without-
model = get_peft_model(model, config)
the model trains without any issues. However, using the model returned from get_peft_model raises the following error due to datasets-
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https://api.github.com/repos/huggingface/datasets/issues/6534 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6534/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6534/comments | https://api.github.com/repos/huggingface/datasets/issues/6534/events | https://github.com/huggingface/datasets/issues/6534 | 2,056,002,548 | I_kwDODunzps56jBv0 | 6,534 | How to configure multiple folders in the same zip package | {
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train floder and test floder in data.zip | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6533 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6533/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6533/comments | https://api.github.com/repos/huggingface/datasets/issues/6533/events | https://github.com/huggingface/datasets/issues/6533 | 2,055,929,101 | I_kwDODunzps56iv0N | 6,533 | ted_talks_iwslt | Error: Config name is missing | {
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} | ### Describe the bug
Running load_dataset using the newest `datasets` library like below on the ted_talks_iwslt using year pair data will throw an error "Config name is missing"
see also:
https://huggingface.co/datasets/ted_talks_iwslt/discussions/3
likely caused by #6493, where the `and not config_kwargs` part... | {
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https://api.github.com/repos/huggingface/datasets/issues/6532 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6532/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6532/comments | https://api.github.com/repos/huggingface/datasets/issues/6532/events | https://github.com/huggingface/datasets/issues/6532 | 2,055,631,201 | I_kwDODunzps56hnFh | 6,532 | [Feature request] Indexing datasets by a customly-defined id field to enable random access dataset items via the id | {
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] | open | false | null | [] | null | 10 | 2023-12-25 11:37:10+00:00 | 2025-05-05 13:25:24+00:00 | NaT | NONE | null | null | {
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} | ### Feature request
Some datasets may contain an id-like field, for example the `id` field in [wikimedia/wikipedia](https://huggingface.co/datasets/wikimedia/wikipedia) and the `_id` field in [BeIR/dbpedia-entity](https://huggingface.co/datasets/BeIR/dbpedia-entity). HF datasets support efficient random access via r... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6531 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6531/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6531/comments | https://api.github.com/repos/huggingface/datasets/issues/6531/events | https://github.com/huggingface/datasets/pull/6531 | 2,055,201,605 | PR_kwDODunzps5it5Sm | 6,531 | Add polars compatibility | {
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I've just finished adding support to convert and format to `polars.DataFrame`. This was in response to the open issue about integrating Polars [#3334](https://github.com/huggingface/datasets/issues/3334). Datasets can be switched to Polars format via `Dataset.set_format("polars")`. I've also included `to_... | {
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https://api.github.com/repos/huggingface/datasets/issues/6530 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6530/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6530/comments | https://api.github.com/repos/huggingface/datasets/issues/6530/events | https://github.com/huggingface/datasets/issues/6530 | 2,054,817,609 | I_kwDODunzps56egdJ | 6,530 | Impossible to save a mapped dataset to disk | {
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} | ### Describe the bug
I want to play around with different hyperparameters when training but don't want to re-map my dataset with 3 million samples each time for tens of hours when I [fully fine-tune SDXL](https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/train_text_to_image_sdxl.py).
After... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6529 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6529/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6529/comments | https://api.github.com/repos/huggingface/datasets/issues/6529/events | https://github.com/huggingface/datasets/issues/6529 | 2,054,209,449 | I_kwDODunzps56cL-p | 6,529 | Impossible to only download a test split | {
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} | I've spent a significant amount of time trying to locate the split object inside my _split_generators() custom function.
Then after diving [in the code](https://github.com/huggingface/datasets/blob/5ff3670c18ed34fa8ddfa70a9aa403ae6cc9ad54/src/datasets/load.py#L2558) I realized that `download_and_prepare` is executed b... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6528 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6528/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6528/comments | https://api.github.com/repos/huggingface/datasets/issues/6528/events | https://github.com/huggingface/datasets/pull/6528 | 2,053,996,494 | PR_kwDODunzps5ip9JH | 6,528 | set dev version | {
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https://api.github.com/repos/huggingface/datasets/issues/6527 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6527/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6527/comments | https://api.github.com/repos/huggingface/datasets/issues/6527/events | https://github.com/huggingface/datasets/pull/6527 | 2,053,966,748 | PR_kwDODunzps5ip2vd | 6,527 | Release: 2.16.0 | {
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https://api.github.com/repos/huggingface/datasets/issues/6526 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6526/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6526/comments | https://api.github.com/repos/huggingface/datasets/issues/6526/events | https://github.com/huggingface/datasets/pull/6526 | 2,053,726,451 | PR_kwDODunzps5ipB5v | 6,526 | Preserve order of configs and splits when using Parquet exports | {
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Fix #6521. | {
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https://api.github.com/repos/huggingface/datasets/issues/6525 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6525/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6525/comments | https://api.github.com/repos/huggingface/datasets/issues/6525/events | https://github.com/huggingface/datasets/pull/6525 | 2,053,119,357 | PR_kwDODunzps5im-lL | 6,525 | BBox type | {
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Draft to get some feedback on a possible `BBox` feature type that can be used to get object detection bounding boxes data in one format or another.
```python
>>> from datasets import load_dataset, BBox
>>> ds = load_... | {
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https://api.github.com/repos/huggingface/datasets/issues/6524 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6524/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6524/comments | https://api.github.com/repos/huggingface/datasets/issues/6524/events | https://github.com/huggingface/datasets/issues/6524 | 2,053,076,311 | I_kwDODunzps56X3VX | 6,524 | Streaming the Pile: Missing Files | {
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} | ### Describe the bug
The pile does not stream, a "File not Found error" is returned. It looks like the Pile's files have been moved.
### Steps to reproduce the bug
To reproduce run the following code:
```
from datasets import load_dataset
dataset = load_dataset('EleutherAI/pile', 'en', split='train', streamin... | {
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https://api.github.com/repos/huggingface/datasets/issues/6523 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6523/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6523/comments | https://api.github.com/repos/huggingface/datasets/issues/6523/events | https://github.com/huggingface/datasets/pull/6523 | 2,052,643,484 | PR_kwDODunzps5ilV6d | 6,523 | fix tests | {
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https://api.github.com/repos/huggingface/datasets/issues/6522 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6522/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6522/comments | https://api.github.com/repos/huggingface/datasets/issues/6522/events | https://github.com/huggingface/datasets/issues/6522 | 2,052,332,528 | I_kwDODunzps56VBvw | 6,522 | Loading HF Hub Dataset (private org repo) fails to load all features | {
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} | ### Describe the bug
When pushing a `Dataset` with multiple `Features` (`input`, `output`, `tags`) to Huggingface Hub (private org repo), and later downloading the `Dataset`, only `input` and `output` load - I believe the expected behavior is for all `Features` to be loaded by default?
### Steps to reproduce the ... | null | {
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