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https://api.github.com/repos/huggingface/datasets/issues/5566 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5566/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5566/comments | https://api.github.com/repos/huggingface/datasets/issues/5566/events | https://github.com/huggingface/datasets/issues/5566 | 1,595,916,674 | I_kwDODunzps5fH8GC | 5,566 | Directly reading parquet files in a s3 bucket from the load_dataset method | {
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... | open | false | null | [] | null | 1 | 2023-02-22T22:13:40Z | 2023-02-23T11:03:29Z | null | NONE | null | ### Feature request
Right now, we have to read the get the parquet file to the local storage. So having ability to read given the bucket directly address would be benificial
### Motivation
In a production set up, this feature can help us a lot. So we do not need move training datafiles in between storage.
### Yo... | {
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https://api.github.com/repos/huggingface/datasets/issues/5565 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5565/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5565/comments | https://api.github.com/repos/huggingface/datasets/issues/5565/events | https://github.com/huggingface/datasets/pull/5565 | 1,595,281,752 | PR_kwDODunzps5KhfTH | 5,565 | Add writer_batch_size for ArrowBasedBuilder | {
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This can be useful for `datasets-server` to keep control of the row groups size which can affect random access performance for audio/image/video datasets | {
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https://api.github.com/repos/huggingface/datasets/issues/5563 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5563/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5563/comments | https://api.github.com/repos/huggingface/datasets/issues/5563/events | https://github.com/huggingface/datasets/pull/5563 | 1,595,049,025 | PR_kwDODunzps5KgtbL | 5,563 | Release: 2.10.0 | {
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https://api.github.com/repos/huggingface/datasets/issues/5562 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5562/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5562/comments | https://api.github.com/repos/huggingface/datasets/issues/5562/events | https://github.com/huggingface/datasets/pull/5562 | 1,594,625,539 | PR_kwDODunzps5KfTUT | 5,562 | Update csv.py | {
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It triggered following deprecation warning:
/usr/local/lib/python3.8/dist-packages/datasets/download/streaming_download_manager.py:776: FutureWarning: the 'mangle_dupe_cols' keyword is deprecated and will be removed in a future version. Please take steps to stop the ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5561 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5561/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5561/comments | https://api.github.com/repos/huggingface/datasets/issues/5561/events | https://github.com/huggingface/datasets/pull/5561 | 1,593,862,388 | PR_kwDODunzps5Kcxw_ | 5,561 | Add pre-commit config yaml file to enable automatic code formatting | {
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If so - I need to double check the config but for me locally it works as expected. | {
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https://api.github.com/repos/huggingface/datasets/issues/5560 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5560/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5560/comments | https://api.github.com/repos/huggingface/datasets/issues/5560/events | https://github.com/huggingface/datasets/pull/5560 | 1,593,809,978 | PR_kwDODunzps5Kcml6 | 5,560 | Ensure last tqdm update in `map` | {
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* ensure the TQDM bar gets the last progress update
* when a map function fails, avoid throwing a chained exception in the single-proc mode | {
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https://api.github.com/repos/huggingface/datasets/issues/5559 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5559/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5559/comments | https://api.github.com/repos/huggingface/datasets/issues/5559/events | https://github.com/huggingface/datasets/pull/5559 | 1,593,676,489 | PR_kwDODunzps5KcKSb | 5,559 | Fix map suffix_template | {
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I fixed this and also improved a few things:
- regarding logging: "Loading cached processed dataset" is now logged only once even in multiprocessing (it used to be logged ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5558 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5558/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5558/comments | https://api.github.com/repos/huggingface/datasets/issues/5558/events | https://github.com/huggingface/datasets/pull/5558 | 1,593,655,815 | PR_kwDODunzps5KcF5E | 5,558 | Remove instructions for `ffmpeg` system package installation on Colab | {
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https://api.github.com/repos/huggingface/datasets/issues/5557 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5557/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5557/comments | https://api.github.com/repos/huggingface/datasets/issues/5557/events | https://github.com/huggingface/datasets/pull/5557 | 1,593,545,324 | PR_kwDODunzps5Kbube | 5,557 | Add filter desc | {
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https://api.github.com/repos/huggingface/datasets/issues/5556 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5556/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5556/comments | https://api.github.com/repos/huggingface/datasets/issues/5556/events | https://github.com/huggingface/datasets/pull/5556 | 1,593,246,936 | PR_kwDODunzps5KauVL | 5,556 | Use default audio resampling type | {
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It was only used for `_decode_non_mp3_file_like` anyway and not for the other ones - removing it fixes consistency between decoding methods (except torchaudio decoding)
Therefore I think it is a better solution than adding `resampy` as a dependen... | {
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```
---------------------------------------------------------------------------
ValueError Traceback (most recent call last)
Cell In [16], line 1
----> 1 train_dataset = train_dataset.shuffle()
File /opt/conda/envs/pytorch/lib/python3.9/site-packages/dataset... | {
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https://api.github.com/repos/huggingface/datasets/issues/5554 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5554/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5554/comments | https://api.github.com/repos/huggingface/datasets/issues/5554/events | https://github.com/huggingface/datasets/pull/5554 | 1,592,285,062 | PR_kwDODunzps5KXhZh | 5,554 | Add resampy dep | {
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However it is necessary for resampling. I added it to the "audio" extra dependencies. | {
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https://api.github.com/repos/huggingface/datasets/issues/5553 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5553/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5553/comments | https://api.github.com/repos/huggingface/datasets/issues/5553/events | https://github.com/huggingface/datasets/pull/5553 | 1,592,236,998 | PR_kwDODunzps5KXXUq | 5,553 | improved message error row formatting | {
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https://api.github.com/repos/huggingface/datasets/issues/5552 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5552/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5552/comments | https://api.github.com/repos/huggingface/datasets/issues/5552/events | https://github.com/huggingface/datasets/pull/5552 | 1,592,186,703 | PR_kwDODunzps5KXMjA | 5,552 | Make tiktoken tokenizers hashable | {
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https://api.github.com/repos/huggingface/datasets/issues/5551 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5551/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5551/comments | https://api.github.com/repos/huggingface/datasets/issues/5551/events | https://github.com/huggingface/datasets/pull/5551 | 1,592,140,836 | PR_kwDODunzps5KXCof | 5,551 | Suggest scikit-learn instead of sklearn | {
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The current error message if sklearn is not installed:
```
ImportError: To be able to use [dataset name], you need to install the following dependency: sklearn.
Please install it using 'pip install sklearn' for instance.
```
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5550 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5550/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5550/comments | https://api.github.com/repos/huggingface/datasets/issues/5550/events | https://github.com/huggingface/datasets/pull/5550 | 1,591,409,475 | PR_kwDODunzps5KUl5i | 5,550 | Resolve four broken refs in the docs | {
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## Pull Request overview
* Resolve 4 broken references in the docs
## The problems
Two broken references [here](https://huggingface.co/docs/datasets/package_reference/main_classes#datasets.Dataset.class_encode_column):
 it said that if we set HF_HOME, downloaded datasets would be cached at specified address but it does not. downloaded models from checkpoint names are downloaded and cached at HF_HOME but this is not the case for datasets, t... | {
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https://api.github.com/repos/huggingface/datasets/issues/5545 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5545/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5545/comments | https://api.github.com/repos/huggingface/datasets/issues/5545/events | https://github.com/huggingface/datasets/pull/5545 | 1,590,315,972 | PR_kwDODunzps5KRKct | 5,545 | Added return methods for URL-references to the pushed dataset | {
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I was missing the ability to easily open the pushed dataset and it seemed like a quick fix.
Maybe we also want to log this info somewhere, but let me know if I need to add that too.
Cheers,
David | {
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https://api.github.com/repos/huggingface/datasets/issues/5543 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5543/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5543/comments | https://api.github.com/repos/huggingface/datasets/issues/5543/events | https://github.com/huggingface/datasets/issues/5543 | 1,588,951,379 | I_kwDODunzps5etXlT | 5,543 | the pile datasets url seems to change back | {
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in #3627, the host url of the pile dataset became `https://mystic.the-eye.eu`. Now the new url is broken, but `https://the-eye.eu` seems to work again.
### Steps to reproduce the bug
```python3
from datasets import load_dataset
dataset = load_dataset("bookcorpusopen")
```
shows
```python3
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5542 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5542/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5542/comments | https://api.github.com/repos/huggingface/datasets/issues/5542/events | https://github.com/huggingface/datasets/pull/5542 | 1,588,633,724 | PR_kwDODunzps5KLjMl | 5,542 | Avoid saving sparse ChunkedArrays in pyarrow tables | {
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https://api.github.com/repos/huggingface/datasets/issues/5541 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5541/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5541/comments | https://api.github.com/repos/huggingface/datasets/issues/5541/events | https://github.com/huggingface/datasets/issues/5541 | 1,588,633,555 | I_kwDODunzps5esJ_T | 5,541 | Flattening indices in selected datasets is extremely inefficient | {
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If we perform a `select` (or `shuffle`, `train_test_split`, etc.) operation on a dataset , we end up with a dataset with an `indices_table`. Currently, flattening such dataset consumes a lot of memory and the resulting flat dataset contains ChunkedArrays with as many chunks as there are rows. Thi... | {
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https://api.github.com/repos/huggingface/datasets/issues/5540 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5540/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5540/comments | https://api.github.com/repos/huggingface/datasets/issues/5540/events | https://github.com/huggingface/datasets/pull/5540 | 1,588,438,344 | PR_kwDODunzps5KK5qz | 5,540 | Tutorial for creating a dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/5539 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5539/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5539/comments | https://api.github.com/repos/huggingface/datasets/issues/5539/events | https://github.com/huggingface/datasets/issues/5539 | 1,587,970,083 | I_kwDODunzps5epoAj | 5,539 | IndexError: invalid index of a 0-dim tensor. Use `tensor.item()` in Python or `tensor.item<T>()` in C++ to convert a 0-dim tensor to a number | {
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When dataset contains a 0-dim tensor, formatting.py raises a following error and fails.
```bash
Traceback (most recent call last):
File "<path>/lib/python3.8/site-packages/datasets/formatting/formatting.py", line 501, in format_row
return _unnest(formatted_batch)
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https://api.github.com/repos/huggingface/datasets/issues/5538 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5538/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5538/comments | https://api.github.com/repos/huggingface/datasets/issues/5538/events | https://github.com/huggingface/datasets/issues/5538 | 1,587,732,596 | I_kwDODunzps5eouB0 | 5,538 | load_dataset in seaborn is not working for me. getting this error. | {
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~\anaconda3\lib\urllib\request.py in do_open(self, http_class, req, **http_conn_args)
1345 try:
-> 1346 h.request(req.get_method(), req.selector, req.data, headers,
1347 encode_chu... | {
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https://api.github.com/repos/huggingface/datasets/issues/5537 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5537/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5537/comments | https://api.github.com/repos/huggingface/datasets/issues/5537/events | https://github.com/huggingface/datasets/issues/5537 | 1,587,567,464 | I_kwDODunzps5eoFto | 5,537 | Increase speed of data files resolution | {
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"default": fals... | open | false | null | [] | null | 0 | 2023-02-16T12:11:45Z | 2023-02-16T12:11:45Z | null | MEMBER | null | Certain datasets like `bigcode/the-stack-dedup` have so many files that loading them takes forever right from the data files resolution step.
`datasets` uses file patterns to check the structure of the repository but it takes too much time to iterate over and over again on all the data files.
This come from `reso... | {
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https://api.github.com/repos/huggingface/datasets/issues/5536 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5536/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5536/comments | https://api.github.com/repos/huggingface/datasets/issues/5536/events | https://github.com/huggingface/datasets/issues/5536 | 1,586,930,643 | I_kwDODunzps5elqPT | 5,536 | Failure to hash function when using .map() | {
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_Parameter 'function'=<function process at 0x7f1ec4388af0> of the transform datasets.arrow_dataset.Dataset.\_map_single couldn't be hashed properly, a random hash was used instead. Make sure your transforms and parameters are serializable with pickle or dill for the dataset fingerprinting and ca... | {
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https://api.github.com/repos/huggingface/datasets/issues/5535 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5535/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5535/comments | https://api.github.com/repos/huggingface/datasets/issues/5535/events | https://github.com/huggingface/datasets/pull/5535 | 1,586,520,369 | PR_kwDODunzps5KEb5L | 5,535 | Add JAX-formatting documentation | {
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As a follow-up of #5522, I've created this entry in the documentation to explain how to use `.with_format("jax")` and why is it useful.
@lhoestq Feel free to drop any feedback and/or suggestion, as probably more useful features can be included there! | {
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https://api.github.com/repos/huggingface/datasets/issues/5534 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5534/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5534/comments | https://api.github.com/repos/huggingface/datasets/issues/5534/events | https://github.com/huggingface/datasets/issues/5534 | 1,586,177,862 | I_kwDODunzps5eiydG | 5,534 | map() breaks at certain dataset size when using Array3D | {
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`map()` magically breaks when using a `Array3D` feature and mapping it. I created a very simple dummy dataset (see below). When filtering it down to 95 elements I can apply map, but it breaks when filtering it down to just 96 entries with the following exception:
```
Traceback (most recent cal... | {
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https://api.github.com/repos/huggingface/datasets/issues/5533 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5533/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5533/comments | https://api.github.com/repos/huggingface/datasets/issues/5533/events | https://github.com/huggingface/datasets/pull/5533 | 1,585,885,871 | PR_kwDODunzps5KCR5I | 5,533 | Add reduce function | {
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I tried to imitate the `reduce`-method from `functools`, i.e. the function input must be a binary operation. I assume that the input type has an empty element, i.e. `input_type()` is defined, as the acumulant is instantiated as this object - im not sure that is this a reasonable assumption?
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https://api.github.com/repos/huggingface/datasets/issues/5532 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5532/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5532/comments | https://api.github.com/repos/huggingface/datasets/issues/5532/events | https://github.com/huggingface/datasets/issues/5532 | 1,584,505,128 | I_kwDODunzps5ecaEo | 5,532 | train_test_split in arrow_dataset does not ensure to keep single classes in test set | {
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When I have a dataset with very few (e.g. 1) examples per class and I call the train_test_split function on it, sometimes the single class will be in the test set. thus will never be considered for training.
### Steps to reproduce the bug
```
import numpy as np
from datasets import Dataset
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https://api.github.com/repos/huggingface/datasets/issues/5531 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5531/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5531/comments | https://api.github.com/repos/huggingface/datasets/issues/5531/events | https://github.com/huggingface/datasets/issues/5531 | 1,584,387,276 | I_kwDODunzps5eb9TM | 5,531 | Invalid Arrow data from JSONL | {
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] | open | false | null | [] | null | 0 | 2023-02-14T15:39:49Z | 2023-02-14T15:46:09Z | null | MEMBER | null | This code fails:
```python
from datasets import Dataset
ds = Dataset.from_json(path_to_file)
ds.data.validate()
```
raises
```python
ArrowInvalid: Column 2: In chunk 1: Invalid: Struct child array #3 invalid: Invalid: Length spanned by list offsets (4064) larger than values array (length 4063)
```
This ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5530 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5530/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5530/comments | https://api.github.com/repos/huggingface/datasets/issues/5530/events | https://github.com/huggingface/datasets/pull/5530 | 1,582,938,241 | PR_kwDODunzps5J4W_4 | 5,530 | Add missing license in `NumpyFormatter` | {
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As discussed with @lhoestq in https://github.com/huggingface/datasets/pull/5522, the license for `NumpyFormatter` at `datasets/formatting/np_formatter.py` was missing, but present on the rest of the `formatting/*.py` files. So this PR is basically to include it there. | {
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https://api.github.com/repos/huggingface/datasets/issues/5529 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5529/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5529/comments | https://api.github.com/repos/huggingface/datasets/issues/5529/events | https://github.com/huggingface/datasets/pull/5529 | 1,582,501,233 | PR_kwDODunzps5J26Fq | 5,529 | Fix `datasets.load_from_disk`, `DatasetDict.load_from_disk` and `Dataset.load_from_disk` | {
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After playing around a little bit with 🤗`datasets` in Google Cloud Storage (GCS), I found out some things that should be fixed IMO in the code:
* `datasets.load_from_disk` is not checking whether `state.json` is there too when trying to load a `Dataset`, just `dataset_info.json` is checked
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https://api.github.com/repos/huggingface/datasets/issues/5528 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5528/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5528/comments | https://api.github.com/repos/huggingface/datasets/issues/5528/events | https://github.com/huggingface/datasets/pull/5528 | 1,582,195,085 | PR_kwDODunzps5J13wC | 5,528 | Push to hub in a pull request | {
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Introduce new kwarg `create_pr` in `push_to_hub`, which is passed to `HFapi.upload_file`. | {
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https://api.github.com/repos/huggingface/datasets/issues/5527 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5527/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5527/comments | https://api.github.com/repos/huggingface/datasets/issues/5527/events | https://github.com/huggingface/datasets/pull/5527 | 1,581,228,531 | PR_kwDODunzps5JysSM | 5,527 | Fix benchmarks CI - pin protobuf | {
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https://api.github.com/repos/huggingface/datasets/issues/5526 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5526/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5526/comments | https://api.github.com/repos/huggingface/datasets/issues/5526/events | https://github.com/huggingface/datasets/pull/5526 | 1,580,488,133 | PR_kwDODunzps5JwVol | 5,526 | Allow loading/saving of FAISS index using fsspec | {
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"gists_url": "https:/... | [] | open | false | null | [] | null | 3 | 2023-02-10T23:37:14Z | 2023-02-22T16:37:18Z | null | CONTRIBUTOR | null | Fixes #5428
Allow loading/saving of FAISS index using fsspec:
1. Simply use BufferedIOWriter/Reader to Read/Write indices on fsspec stream.
2. Needed `mockfs` in the test, so I took it out of the `TestCase`. Let me know if that makes sense.
I can work on the documentation once the code changes are approved.
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https://api.github.com/repos/huggingface/datasets/issues/5525 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5525/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5525/comments | https://api.github.com/repos/huggingface/datasets/issues/5525/events | https://github.com/huggingface/datasets/issues/5525 | 1,580,342,729 | I_kwDODunzps5eMh3J | 5,525 | TypeError: Couldn't cast array of type string to null | {
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... | [] | closed | false | null | [] | null | 6 | 2023-02-10T21:12:36Z | 2023-02-14T17:41:08Z | 2023-02-14T09:35:49Z | NONE | null | ### Describe the bug
Processing a dataset I alredy uploaded to the Hub (https://huggingface.co/datasets/tj-solergibert/Europarl-ST) I found that for some splits and some languages (test split, source_lang = "nl") after applying a map function I get the mentioned error.
I alredy tried reseting the shorter strings... | {
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https://api.github.com/repos/huggingface/datasets/issues/5524 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5524/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5524/comments | https://api.github.com/repos/huggingface/datasets/issues/5524/events | https://github.com/huggingface/datasets/pull/5524 | 1,580,219,454 | PR_kwDODunzps5JvbMw | 5,524 | [INVALID PR] | {
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## What's in this PR?
~~Basically, I've removed the 🤗`datasets` installation as `python -m pip install ".[quality]" in the `check_code_quality` job in `.github/workflows/ci.yaml`, as we don't need to install the whole package to run the CI, unless that's done on purpose e.g. to ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5523 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5523/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5523/comments | https://api.github.com/repos/huggingface/datasets/issues/5523/events | https://github.com/huggingface/datasets/issues/5523 | 1,580,193,015 | I_kwDODunzps5eL9T3 | 5,523 | Checking that split name is correct happens only after the data is downloaded | {
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"following_url": "https://api.github.com/users/polinaeterna/following{/other_use... | null | 0 | 2023-02-10T19:13:03Z | 2023-02-10T19:14:50Z | null | CONTRIBUTOR | null | ### Describe the bug
Verification of split names (=indexing data by split) happens after downloading the data. So when the split name is incorrect, users learn about that only after the data is fully downloaded, for large datasets it might take a lot of time.
### Steps to reproduce the bug
Load any dataset with rand... | {
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https://api.github.com/repos/huggingface/datasets/issues/5522 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5522/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5522/comments | https://api.github.com/repos/huggingface/datasets/issues/5522/events | https://github.com/huggingface/datasets/pull/5522 | 1,580,183,124 | PR_kwDODunzps5JvTVp | 5,522 | Minor changes in JAX-formatting docstrings & type-hints | {
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## What's in this PR?
I was exploring the code regarding the `JaxFormatter` implemented in 🤗`datasets`, and found some things that IMO could be changed. Those are mainly regarding the docstrings and the type-hints based on `jax`'s 0.4.1 release where `jax.Array` was introduced a... | {
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https://api.github.com/repos/huggingface/datasets/issues/5521 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5521/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5521/comments | https://api.github.com/repos/huggingface/datasets/issues/5521/events | https://github.com/huggingface/datasets/pull/5521 | 1,578,418,289 | PR_kwDODunzps5JpWnp | 5,521 | Fix bug when casting empty array to class labels | {
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https://api.github.com/repos/huggingface/datasets/issues/5520 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5520/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5520/comments | https://api.github.com/repos/huggingface/datasets/issues/5520/events | https://github.com/huggingface/datasets/issues/5520 | 1,578,417,074 | I_kwDODunzps5eFLuy | 5,520 | ClassLabel.cast_storage raises TypeError when called on an empty IntegerArray | {
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`ClassLabel.cast_storage` raises `TypeError` when called on an empty `IntegerArray`.
### Steps to reproduce the bug
Minimal steps:
```python
import pyarrow as pa
from datasets import ClassLabel
ClassLabel(names=['foo', 'bar']).cast_storage(pa.array([], pa.int64()))
```
In practice, thi... | {
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https://api.github.com/repos/huggingface/datasets/issues/5519 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5519/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5519/comments | https://api.github.com/repos/huggingface/datasets/issues/5519/events | https://github.com/huggingface/datasets/pull/5519 | 1,578,341,785 | PR_kwDODunzps5JpGPl | 5,519 | Format code with `ruff` | {
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TODO:
- [x] ~Merge the community contributors' PR to avoid having to run `make style` on thei... | {
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https://api.github.com/repos/huggingface/datasets/issues/5518 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5518/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5518/comments | https://api.github.com/repos/huggingface/datasets/issues/5518/events | https://github.com/huggingface/datasets/pull/5518 | 1,578,203,962 | PR_kwDODunzps5Joom3 | 5,518 | Remove py.typed | {
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https://api.github.com/repos/huggingface/datasets/issues/5517 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5517/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5517/comments | https://api.github.com/repos/huggingface/datasets/issues/5517/events | https://github.com/huggingface/datasets/issues/5517 | 1,577,976,608 | I_kwDODunzps5eDgMg | 5,517 | `with_format("numpy")` silently downcasts float64 to float32 features | {
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When I create a dataset with a `float64` feature, then apply numpy formatting the returned numpy arrays are silently downcasted to `float32`.
### Steps to reproduce the bug
```python
import datasets
dataset = datasets.Dataset.from_dict({'a': [1.0, 2.0, 3.0]}).with_format("numpy")
print(... | {
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https://api.github.com/repos/huggingface/datasets/issues/5516 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5516/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5516/comments | https://api.github.com/repos/huggingface/datasets/issues/5516/events | https://github.com/huggingface/datasets/pull/5516 | 1,577,661,640 | PR_kwDODunzps5JmzPQ | 5,516 | Reload features from Parquet metadata | {
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Attaches feature metadata to parquet files serialised using `Dataset.to_parquet`.
This allows retrieving data with "rich" feature types (e.g., `datasets.features.image.Image` or `datasets.features.audio.Audio`) from parquet files without cumbersome casting (for an example, see #5482).
@lhoest... | {
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https://api.github.com/repos/huggingface/datasets/issues/5515 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5515/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5515/comments | https://api.github.com/repos/huggingface/datasets/issues/5515/events | https://github.com/huggingface/datasets/pull/5515 | 1,577,590,611 | PR_kwDODunzps5Jmj5X | 5,515 | Unify `load_from_cache_file` type and logic | {
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"g... | [] | closed | false | null | [] | null | 4 | 2023-02-09T10:04:46Z | 2023-02-14T15:38:13Z | 2023-02-14T14:26:42Z | CONTRIBUTOR | null | * Updating type annotations for #`load_from_cache_file`
* Added logic for cache checking if needed
* Updated documentation following the wording of `Dataset.map` | {
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https://api.github.com/repos/huggingface/datasets/issues/5514 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5514/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5514/comments | https://api.github.com/repos/huggingface/datasets/issues/5514/events | https://github.com/huggingface/datasets/issues/5514 | 1,576,453,837 | I_kwDODunzps5d9sbN | 5,514 | Improve inconsistency of `Dataset.map` interface for `load_from_cache_file` | {
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] | closed | false | null | [] | null | 4 | 2023-02-08T16:40:44Z | 2023-02-14T14:26:44Z | 2023-02-14T14:26:44Z | CONTRIBUTOR | null | ### Feature request
1. Replace the `load_from_cache_file` default value to `True`.
2. Remove or alter checks from `is_caching_enabled` logic.
### Motivation
I stumbled over an inconsistency in the `Dataset.map` interface. The documentation (and source) states for the parameter `load_from_cache_file`:
```
load_... | {
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https://api.github.com/repos/huggingface/datasets/issues/5513 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5513/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5513/comments | https://api.github.com/repos/huggingface/datasets/issues/5513/events | https://github.com/huggingface/datasets/issues/5513 | 1,576,300,803 | I_kwDODunzps5d9HED | 5,513 | Some functions use a param named `type` shouldn't that be avoided since it's a Python reserved name? | {
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After going through `ArrowDataset.set_format` I found out that the `type` param is actually named `type` which is a Python reserved name as you may already know, shouldn't that be renamed to `format_type` before the 3.0.0 is released?
Just wanted to get your inp... | {
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https://api.github.com/repos/huggingface/datasets/issues/5512 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5512/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5512/comments | https://api.github.com/repos/huggingface/datasets/issues/5512/events | https://github.com/huggingface/datasets/pull/5512 | 1,576,142,432 | PR_kwDODunzps5JhtQy | 5,512 | Speed up batched PyTorch DataLoader | {
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close https://github.com/huggingface/datasets/issues/5505 | {
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https://api.github.com/repos/huggingface/datasets/issues/5511 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5511/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5511/comments | https://api.github.com/repos/huggingface/datasets/issues/5511/events | https://github.com/huggingface/datasets/issues/5511 | 1,575,851,768 | I_kwDODunzps5d7Zb4 | 5,511 | Creating a dummy dataset from a bigger one | {
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"following_url": "https://api.github.com/users/patrickvonplaten/following{/other_use... | [] | closed | false | null | [] | null | 2 | 2023-02-08T10:18:41Z | 2023-02-08T10:35:48Z | 2023-02-08T10:35:48Z | MEMBER | null | ### Describe the bug
I often want to create a dummy dataset from a bigger dataset for fast iteration when training. However, I'm having a hard time doing this especially when trying to upload the dataset to the Hub.
### Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset... | {
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https://api.github.com/repos/huggingface/datasets/issues/5510 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5510/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5510/comments | https://api.github.com/repos/huggingface/datasets/issues/5510/events | https://github.com/huggingface/datasets/pull/5510 | 1,575,191,549 | PR_kwDODunzps5JehbR | 5,510 | Milvus integration for search | {
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https://api.github.com/repos/huggingface/datasets/issues/5509 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5509/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5509/comments | https://api.github.com/repos/huggingface/datasets/issues/5509/events | https://github.com/huggingface/datasets/pull/5509 | 1,574,177,320 | PR_kwDODunzps5JbH-u | 5,509 | Add a static `__all__` to `__init__.py` for typecheckers | {
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https://api.github.com/repos/huggingface/datasets/issues/5508 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5508/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5508/comments | https://api.github.com/repos/huggingface/datasets/issues/5508/events | https://github.com/huggingface/datasets/issues/5508 | 1,573,290,359 | I_kwDODunzps5dxoF3 | 5,508 | Saving a dataset after setting format to torch doesn't work, but only if filtering | {
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Saving a dataset after setting format to torch doesn't work, but only if filtering
### Steps to reproduce the bug
```
a = Dataset.from_dict({"b": [1, 2]})
a.set_format('torch')
a.save_to_disk("test_save") # saves successfully
a.filter(None).save_to_disk("test_save_filter") # does not
>> [..... | {
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https://api.github.com/repos/huggingface/datasets/issues/5507 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5507/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5507/comments | https://api.github.com/repos/huggingface/datasets/issues/5507/events | https://github.com/huggingface/datasets/issues/5507 | 1,572,667,036 | I_kwDODunzps5dvP6c | 5,507 | Optimise behaviour in respect to indices mapping | {
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... | null | 0 | 2023-02-06T14:25:55Z | 2023-02-06T14:25:55Z | null | CONTRIBUTOR | null | _Originally [posted](https://huggingface.slack.com/archives/C02V51Q3800/p1675443873878489?thread_ts=1675418893.373479&cid=C02V51Q3800) on Slack_
Considering all this, perhaps for Datasets 3.0, we can do the following:
* have `continuous=True` by default in `.shard` (requested in the survey and makes more sense for... | {
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https://api.github.com/repos/huggingface/datasets/issues/5506 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5506/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5506/comments | https://api.github.com/repos/huggingface/datasets/issues/5506/events | https://github.com/huggingface/datasets/issues/5506 | 1,571,838,641 | I_kwDODunzps5dsFqx | 5,506 | IterableDataset and Dataset return different batch sizes when using Trainer with multiple GPUs | {
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I am training a Roberta model using 2 GPUs and the `Trainer` API with a batch size of 256.
Initially I used a standard `Dataset`, but had issues with slow data loading. After reading [this issue](https://github.com/huggingface/datasets/issues/2252), I swapped to loading my dataset as contiguous... | {
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https://api.github.com/repos/huggingface/datasets/issues/5505 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5505/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5505/comments | https://api.github.com/repos/huggingface/datasets/issues/5505/events | https://github.com/huggingface/datasets/issues/5505 | 1,571,720,814 | I_kwDODunzps5dro5u | 5,505 | PyTorch BatchSampler still loads from Dataset one-by-one | {
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In [the docs here](https://huggingface.co/docs/datasets/use_with_pytorch#use-a-batchsampler), it mentions the issue of the Dataset being read one-by-one, then states that using a BatchSampler resolves the issue.
I'm not sure if this is a mistake in the docs or the code, but it seems that the on... | {
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https://api.github.com/repos/huggingface/datasets/issues/5504 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5504/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5504/comments | https://api.github.com/repos/huggingface/datasets/issues/5504/events | https://github.com/huggingface/datasets/pull/5504 | 1,570,621,242 | PR_kwDODunzps5JPoWy | 5,504 | don't zero copy timestamps | {
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I'm not sure whether we prefer a test here or if timestamps are known to be unsupported (like booleans). The current test at least covers the bug | {
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https://api.github.com/repos/huggingface/datasets/issues/5502 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5502/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5502/comments | https://api.github.com/repos/huggingface/datasets/issues/5502/events | https://github.com/huggingface/datasets/pull/5502 | 1,570,091,225 | PR_kwDODunzps5JN0aX | 5,502 | Added functionality: sort datasets by multiple keys | {
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https://api.github.com/repos/huggingface/datasets/issues/5501 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5501/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5501/comments | https://api.github.com/repos/huggingface/datasets/issues/5501/events | https://github.com/huggingface/datasets/pull/5501 | 1,569,644,159 | PR_kwDODunzps5JMTn8 | 5,501 | Increase chunk size for speeding up file downloads | {
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Not sure this function is actually still called though.
I haven't done benches on this. Is there a dataset where files are hosted on the hub through cloudfront so we can have the same setup as in `hf_hub` ? | {
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https://api.github.com/repos/huggingface/datasets/issues/5500 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5500/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5500/comments | https://api.github.com/repos/huggingface/datasets/issues/5500/events | https://github.com/huggingface/datasets/issues/5500 | 1,569,257,240 | I_kwDODunzps5diPcY | 5,500 | WMT19 custom download checksum error | {
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I use the following scripts to download data from WMT19:
```python
import datasets
from datasets import inspect_dataset, load_dataset_builder
from wmt19.wmt_utils import _TRAIN_SUBSETS,_DEV_SUBSETS
## this is a must due to: https://discuss.huggingface.co/t/load-dataset-hangs-with-local-fi... | {
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https://api.github.com/repos/huggingface/datasets/issues/5499 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5499/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5499/comments | https://api.github.com/repos/huggingface/datasets/issues/5499/events | https://github.com/huggingface/datasets/issues/5499 | 1,568,937,026 | I_kwDODunzps5dhBRC | 5,499 | `load_dataset` has ~4 seconds of overhead for cached data | {
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] | open | false | null | [] | null | 2 | 2023-02-02T23:34:50Z | 2023-02-07T19:35:11Z | null | NONE | null | ### Feature request
When loading a dataset that has been cached locally, the `load_dataset` function takes a lot longer than it should take to fetch the dataset from disk (or memory).
This is particularly noticeable for smaller datasets. For example, wikitext-2, comparing `load_data` (once cached) and `load_from_disk... | {
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https://api.github.com/repos/huggingface/datasets/issues/5498 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5498/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5498/comments | https://api.github.com/repos/huggingface/datasets/issues/5498/events | https://github.com/huggingface/datasets/issues/5498 | 1,568,190,529 | I_kwDODunzps5deLBB | 5,498 | TypeError: 'bool' object is not iterable when filtering a datasets.arrow_dataset.Dataset | {
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Hi,
Thanks for the amazing work on the library!
**Describe the bug**
I think I might have noticed a small bug in the filter method.
Having loaded a dataset using `load_dataset`, when I try to filter out empty entries with `batched=True`, I get a TypeError.
### Steps to reproduce the ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5497 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5497/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5497/comments | https://api.github.com/repos/huggingface/datasets/issues/5497/events | https://github.com/huggingface/datasets/pull/5497 | 1,567,601,264 | PR_kwDODunzps5JFhvc | 5,497 | Improved error message for gated/private repos | {
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See https://github.com/huggingface/huggingface_hub/pull/1064 | {
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https://api.github.com/repos/huggingface/datasets/issues/5496 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5496/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5496/comments | https://api.github.com/repos/huggingface/datasets/issues/5496/events | https://github.com/huggingface/datasets/issues/5496 | 1,567,301,765 | I_kwDODunzps5dayCF | 5,496 | Add a `reduce` method | {
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] | open | false | null | [] | null | 2 | 2023-02-02T04:30:22Z | 2023-02-13T15:02:54Z | null | NONE | null | ### Feature request
Right now the `Dataset` class implements `map()` and `filter()`, but leaves out the third functional idiom popular among Python users: `reduce`.
### Motivation
A `reduce` method is often useful when calculating dataset statistics, for example, the occurrence of a particular n-gram or the average... | {
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https://api.github.com/repos/huggingface/datasets/issues/5495 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5495/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5495/comments | https://api.github.com/repos/huggingface/datasets/issues/5495/events | https://github.com/huggingface/datasets/issues/5495 | 1,566,803,452 | I_kwDODunzps5dY4X8 | 5,495 | to_tf_dataset fails with datetime UTC columns even if not included in columns argument | {
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"descript... | closed | false | null | [] | null | 2 | 2023-02-01T20:47:33Z | 2023-02-08T14:33:19Z | 2023-02-08T14:33:19Z | CONTRIBUTOR | null | ### Describe the bug
There appears to be some eager behavior in `to_tf_dataset` that runs against every column in a dataset even if they aren't included in the columns argument. This is problematic with datetime UTC columns due to them not working with zero copy. If I don't have UTC information in my datetime column... | {
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https://api.github.com/repos/huggingface/datasets/issues/5494 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5494/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5494/comments | https://api.github.com/repos/huggingface/datasets/issues/5494/events | https://github.com/huggingface/datasets/issues/5494 | 1,566,655,348 | I_kwDODunzps5dYUN0 | 5,494 | Update audio installation doc page | {
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https://api.github.com/repos/huggingface/datasets/issues/5493 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5493/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5493/comments | https://api.github.com/repos/huggingface/datasets/issues/5493/events | https://github.com/huggingface/datasets/pull/5493 | 1,566,637,806 | PR_kwDODunzps5JCSAZ | 5,493 | Remove unused `load_from_cache_file` arg from `Dataset.shard()` docstring | {
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cc @nateraw
It should be possible to tweak the use of `huggingface_hub` in `pus... | {
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https://api.github.com/repos/huggingface/datasets/issues/5490 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5490/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5490/comments | https://api.github.com/repos/huggingface/datasets/issues/5490/events | https://github.com/huggingface/datasets/pull/5490 | 1,565,842,327 | PR_kwDODunzps5I_nz- | 5,490 | Do not add index column by default when exporting to CSV | {
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This PR changes the default behavior, so that now the index column is not written.
To add the index column, now you need to pass `index=True` and also `index_label=<name of the index colum>` t... | {
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https://api.github.com/repos/huggingface/datasets/issues/5489 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5489/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5489/comments | https://api.github.com/repos/huggingface/datasets/issues/5489/events | https://github.com/huggingface/datasets/pull/5489 | 1,565,761,705 | PR_kwDODunzps5I_WPH | 5,489 | Pin dill lower version | {
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Related to:
- #5487
- #288
Note that the required `dill._dill` module was introduced in dill-2.8.0, however we have heuristically tested that datasets can only be installed with dill>=3.0.0 (otherwise pip hangs indefinitely while preparing metadata for multip... | {
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https://api.github.com/repos/huggingface/datasets/issues/5488 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5488/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5488/comments | https://api.github.com/repos/huggingface/datasets/issues/5488/events | https://github.com/huggingface/datasets/issues/5488 | 1,565,025,262 | I_kwDODunzps5dSGPu | 5,488 | Error loading MP3 files from CommonVoice | {
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"gists_url... | [] | open | false | null | [] | null | 3 | 2023-01-31T21:25:33Z | 2023-02-01T15:28:56Z | null | NONE | null | ### Describe the bug
When loading a CommonVoice dataset with `datasets==2.9.0` and `torchaudio>=0.12.0`, I get an error reading the audio arrays:
```python
---------------------------------------------------------------------------
LibsndfileError Traceback (most recent call last)
~/.l... | {
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https://api.github.com/repos/huggingface/datasets/issues/5487 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5487/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5487/comments | https://api.github.com/repos/huggingface/datasets/issues/5487/events | https://github.com/huggingface/datasets/issues/5487 | 1,564,480,121 | I_kwDODunzps5dQBJ5 | 5,487 | Incorrect filepath for dill module | {
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I installed the `datasets` package and when I try to `import` it, I get the following error:
```
Traceback (most recent call last):
File "/var/folders/jt/zw5g74ln6tqfdzsl8tx378j00000gn/T/ipykernel_3805/3458380017.py", line 1, in <module>
import datasets
File "/Users/avivbrokman/... | {
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https://api.github.com/repos/huggingface/datasets/issues/5486 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5486/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5486/comments | https://api.github.com/repos/huggingface/datasets/issues/5486/events | https://github.com/huggingface/datasets/issues/5486 | 1,564,059,749 | I_kwDODunzps5dOahl | 5,486 | Adding `sep` to TextConfig | {
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... | [] | open | false | null | [] | null | 2 | 2023-01-31T10:39:53Z | 2023-01-31T14:50:18Z | null | NONE | null | I have a local a `.txt` file that follows the `CONLL2003` format which I need to load using `load_script`. However, by using `sample_by='line'`, one can only split the dataset into lines without splitting each line into columns. Would it be reasonable to add a `sep` argument in combination with `sample_by='paragraph'` ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5485 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5485/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5485/comments | https://api.github.com/repos/huggingface/datasets/issues/5485/events | https://github.com/huggingface/datasets/pull/5485 | 1,563,002,829 | PR_kwDODunzps5I2ER2 | 5,485 | Add section in tutorial for IterableDataset | {
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https://api.github.com/repos/huggingface/datasets/issues/5484 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5484/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5484/comments | https://api.github.com/repos/huggingface/datasets/issues/5484/events | https://github.com/huggingface/datasets/pull/5484 | 1,562,877,070 | PR_kwDODunzps5I1oaq | 5,484 | Update docs for `nyu_depth_v2` dataset | {
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cc: @sayakpaul @lhoestq
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https://api.github.com/repos/huggingface/datasets/issues/5483 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5483/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5483/comments | https://api.github.com/repos/huggingface/datasets/issues/5483/events | https://github.com/huggingface/datasets/issues/5483 | 1,560,894,690 | I_kwDODunzps5dCVzi | 5,483 | Unable to upload dataset | {
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Uploading a simple dataset ends with an exception
### Steps to reproduce the bug
I created a new conda env with python 3.10, pip installed datasets and:
```python
>>> from datasets import load_dataset, load_from_disk, Dataset
>>> d = Dataset.from_dict({"text": ["hello"] * 2})
>>> d.pus... | {
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"... | null | 3 | 2023-01-28T13:12:31Z | 2023-02-12T15:57:02Z | 2023-02-12T15:57:02Z | MEMBER | null | The idea would be to allow this :
```python
ds.to_parquet("my_dataset/ds.parquet")
reloaded = load_dataset("my_dataset")
assert ds.features == reloaded.features
```
And it should also work with Image and Audio types (right now they're reloaded as a dict type)
This can be implemented by storing and reading th... | {
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```python
ds = load_dataset("c4", "en", as_iterable=True)
```
To be used to train models. It would load an IterableDataset from the cached Arrow files.
Cc @stas00
Edit : from the discussions we may load from cache when streaming=True | {
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https://api.github.com/repos/huggingface/datasets/issues/5480 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5480/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5480/comments | https://api.github.com/repos/huggingface/datasets/issues/5480/events | https://github.com/huggingface/datasets/pull/5480 | 1,560,364,866 | PR_kwDODunzps5ItY2y | 5,480 | Select columns of Dataset or DatasetDict | {
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https://api.github.com/repos/huggingface/datasets/issues/5479 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5479/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5479/comments | https://api.github.com/repos/huggingface/datasets/issues/5479/events | https://github.com/huggingface/datasets/issues/5479 | 1,560,357,590 | I_kwDODunzps5dASrW | 5,479 | audiofolder works on local env, but creates empty dataset in a remote one, what dependencies could I be missing/outdated | {
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I'm using a custom audio dataset (400+ audio files) in the correct format for audiofolder. Although loading the dataset with audiofolder works in one local setup, it doesn't in a remote one (it just creates an empty dataset). I have both ffmpeg and libndfile installed on both computers, what cou... | {
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https://api.github.com/repos/huggingface/datasets/issues/5478 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5478/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5478/comments | https://api.github.com/repos/huggingface/datasets/issues/5478/events | https://github.com/huggingface/datasets/pull/5478 | 1,560,357,583 | PR_kwDODunzps5ItXQG | 5,478 | Tip for recomputing metadata | {
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https://api.github.com/repos/huggingface/datasets/issues/5477 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5477/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5477/comments | https://api.github.com/repos/huggingface/datasets/issues/5477/events | https://github.com/huggingface/datasets/issues/5477 | 1,559,909,892 | I_kwDODunzps5c-lYE | 5,477 | Unpin sqlalchemy once issue is fixed | {
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- pandas-dev/pandas#51015
we should revert the pin introduced in:
- #5476 | {
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the error comes from pandas: https://github.com/pandas-dev/pandas/issues/51015 | {
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https://api.github.com/repos/huggingface/datasets/issues/5475 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5475/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5475/comments | https://api.github.com/repos/huggingface/datasets/issues/5475/events | https://github.com/huggingface/datasets/issues/5475 | 1,559,030,149 | I_kwDODunzps5c7OmF | 5,475 | Dataset scan time is much slower than using native arrow | {
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I'm basically running the same scanning experiment from the tutorials https://huggingface.co/course/chapter5/4?fw=pt except now I'm comparing to a native pyarrow version.
I'm finding that the native pyarrow approach is much faster (2 orders of magnitude). Is there something I'm missing that exp... | {
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https://api.github.com/repos/huggingface/datasets/issues/5474 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5474/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5474/comments | https://api.github.com/repos/huggingface/datasets/issues/5474/events | https://github.com/huggingface/datasets/issues/5474 | 1,558,827,155 | I_kwDODunzps5c6dCT | 5,474 | Column project operation on `datasets.Dataset` | {
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... | closed | false | null | [] | null | 1 | 2023-01-26T21:47:53Z | 2023-02-13T09:59:37Z | 2023-02-13T09:59:37Z | CONTRIBUTOR | null | ### Feature request
There is no operation to select a subset of columns of original dataset. Expected API follows.
```python
a = Dataset.from_dict({
'int': [0, 1, 2]
'char': ['a', 'b', 'c'],
'none': [None] * 3,
})
b = a.project('int', 'char') # usually, .select()
print(a.column_names) # std... | {
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https://api.github.com/repos/huggingface/datasets/issues/5469 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5469/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5469/comments | https://api.github.com/repos/huggingface/datasets/issues/5469/events | https://github.com/huggingface/datasets/pull/5469 | 1,558,346,906 | PR_kwDODunzps5Imhk2 | 5,469 | Remove deprecated `shard_size` arg from `.push_to_hub()` | {
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In this blog post https://huggingface.co/blog/audio-datasets, I noticed the following code:
```python
COLUMNS_TO_KEEP = ["text", "audio"]
all_columns = gigaspeech["train"].column_names
columns_to_remove = set(all_columns) - set(COLUMNS_TO_KEEP)
gigaspeech = gigaspeech.remove_columns(column... | {
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https://api.github.com/repos/huggingface/datasets/issues/5467 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5467/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5467/comments | https://api.github.com/repos/huggingface/datasets/issues/5467/events | https://github.com/huggingface/datasets/pull/5467 | 1,557,898,273 | PR_kwDODunzps5IlAlk | 5,467 | Fix conda command in readme | {
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```
conda install -c huggingface datasets
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/5466 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5466/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5466/comments | https://api.github.com/repos/huggingface/datasets/issues/5466/events | https://github.com/huggingface/datasets/pull/5466 | 1,557,584,845 | PR_kwDODunzps5Ij-z1 | 5,466 | remove pathlib.Path with URIs | {
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https://api.github.com/repos/huggingface/datasets/issues/5465 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5465/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5465/comments | https://api.github.com/repos/huggingface/datasets/issues/5465/events | https://github.com/huggingface/datasets/issues/5465 | 1,557,510,618 | I_kwDODunzps5c1bna | 5,465 | audiofolder creates empty dataset even though the dataset passed in follows the correct structure | {
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The structure of my dataset folder called "my_dataset" is : data metadata.csv
The data folder consists of all mp3 files and metadata.csv consist of file locations like 'data/...mp3 and transcriptions. There's 400+ mp3 files and corresponding transcriptions for my dataset.
When I run the follo... | {
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