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the previous example was using a model for translation and the way it was setup was not really the right way to use the model. | {
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First, we should address:
- #6644 | {
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https://api.github.com/repos/huggingface/datasets/issues/6643 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6643/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6643/comments | https://api.github.com/repos/huggingface/datasets/issues/6643/events | https://github.com/huggingface/datasets/issues/6643 | 2,121,239,039 | I_kwDODunzps5-b4n_ | 6,643 | Faiss GPU index cannot be serialised when passed to trainer | {
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"g... | [] | open | false | null | [] | null | 1 | 2024-02-06T16:41:00 | 2024-02-08T10:39:54 | null | NONE | null | null | null | ### Describe the bug
I am working on a retrieval project and encountering I have encountered two issues in the hugging face faiss integration:
1. I am trying to pass in a dataset with a faiss index to the Huggingface trainer. The code works for a cpu faiss index, but doesn't for a gpu one, getting error:
```
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https://api.github.com/repos/huggingface/datasets/issues/6642 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6642/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6642/comments | https://api.github.com/repos/huggingface/datasets/issues/6642/events | https://github.com/huggingface/datasets/issues/6642 | 2,119,085,766 | I_kwDODunzps5-Tq7G | 6,642 | Differently dataset object saved than it is loaded. | {
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Differently sized object is saved than it is loaded.
### Steps to reproduce the bug
Hi, I save dataset in a following way:
```
dataset = load_dataset("json",
data_files={
"train": os.path.join(input_folder, f"{task_met... | {
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unicodedecodeerror: 'utf-8' codec can't decode byte 0xac in position 25: invalid start byte
### Steps to reproduce the bug
```
import sys
sys.getdefaultencoding()
'utf-8'
from datasets import load_dataset
print(f"Train dataset size: {len(dataset['train'])}")
print(f"Test datase... | {
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] | open | false | null | [] | null | 0 | 2024-02-02T21:54:51 | 2024-02-02T21:54:51 | null | NONE | null | null | null | ### Feature request
Currently, there are only several Sign Language labels, I would like to propose adding all the Signed Languages as new labels which are described in this ISO standard: https://www.evertype.com/standards/iso639/sign-language.html
### Motivation
Datasets currently only have labels for several signe... | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6637 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6637/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6637/comments | https://api.github.com/repos/huggingface/datasets/issues/6637/events | https://github.com/huggingface/datasets/issues/6637 | 2,113,025,975 | I_kwDODunzps598je3 | 6,637 | 'with_format' is extremely slow when used together with 'interleave_datasets' or 'shuffle' on IterableDatasets | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/6636 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6636/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6636/comments | https://api.github.com/repos/huggingface/datasets/issues/6636/events | https://github.com/huggingface/datasets/pull/6636 | 2,110,781,097 | PR_kwDODunzps5lm4zI | 6,636 | Faster column validation and reordering | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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 ... | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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 ... | {
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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". | {
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I fixed this by not passing the `config_kwargs` to the parent Builder `__init__`, and passing the config... | {
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cc @stas00 @williamberrios
close https://github.com/huggingface/datasets/issues/6589 | {
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https://api.github.com/repos/huggingface/datasets/issues/6630 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6630/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6630/comments | https://api.github.com/repos/huggingface/datasets/issues/6630/events | https://github.com/huggingface/datasets/pull/6630 | 2,106,478,275 | PR_kwDODunzps5lYPi3 | 6,630 | Bump max range of dill to 0.3.8 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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... | {
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This was really useful recently to run the command on `pubmed`: https://huggingface.co/datasets/pubmed/discussions/11 | {
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https://api.github.com/repos/huggingface/datasets/issues/6627 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6627/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6627/comments | https://api.github.com/repos/huggingface/datasets/issues/6627/events | https://github.com/huggingface/datasets/pull/6627 | 2,105,735,816 | PR_kwDODunzps5lVr-t | 6,627 | Disable `tqdm` bars in non-interactive environments | {
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For more info, see a [similar PR](https://github.com/huggingface/huggingface_hub/pull/2000) in `huggingface_hub`. | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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 | {
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https://huggingface.co/datasets/laion/laion-coco | {
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] | open | false | null | [] | null | 6 | 2024-01-27T23:46:13 | 2024-02-02T09:42:10 | null | NONE | null | null | null | ### 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... | {
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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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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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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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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Based on https://github.com/huggingface/huggingface_hub/pull/1971 in `hfh` | {
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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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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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close https://github.com/huggingface/datasets/issues/5477 | {
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] | open | false | null | [] | null | 0 | 2024-01-24T18:52:10 | 2024-01-24T18:55:09 | null | CONTRIBUTOR | null | null | null | ### 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/... | {
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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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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.... | {
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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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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 | 2024-01-23T01:47:19 | 2024-02-06T17:21:25 | 2024-02-06T17:21:25 | NONE | null | null | null | ### 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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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fix #6564 | {
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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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} | 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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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Closes https://github.com/huggingface/datasets/issues/6604, closes https://github.com/huggingface/datasets/issues/2775 | {
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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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"gists_url": "https:... | [] | closed | false | null | [] | null | 1 | 2024-01-19T10:21:52 | 2024-02-01T17:58:23 | 2024-02-01T17:58:22 | NONE | null | null | null | 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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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 | 2024-01-18T23:08:30 | 2024-01-28T04:01:15 | null | NONE | null | null | null | ### 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... | {
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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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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... | {
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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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} | Added some checks to prevent errors that arrise when using evaluate.py on only a portion of the squad 2.0 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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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... | {
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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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"name": "enhancement",
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] | closed | false | null | [] | null | 2 | 2024-01-17T17:51:40 | 2024-01-23T10:42:17 | 2024-01-22T15:35:49 | NONE | null | null | null | ### 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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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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"following_url": "https://api.github.com/users/albertvillanova/following{/o... | null | 6 | 2024-01-16T11:27:07 | 2024-02-05T12:29:37 | 2024-02-05T12:29:37 | MEMBER | null | null | null | 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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