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https://github.com/huggingface/datasets/issues/3960 | Load local dataset error | Thanks for rerunning the code to record the output. Is it the `"Resolving data files"` part on your machine that takes a long time to complete, or is it `"Loading cached processed dataset at ..."˙`? We plan to speed up the latter by splitting bigger Arrow files into smaller ones, but your dataset doesn't seem that big,... | When i used the datasets==1.11.0， it's all right. Util update the latest version, it get the error like this:
```
>>> from datasets import load_dataset
>>> data_files={'train': ['/ssd/datasets/imagenet/pytorch/train'], 'validation': ['/ssd/datasets/imagenet/pytorch/val']}
>>> ds = load_dataset('nateraw/image-folder... | 64 | Load local dataset error
When i used the datasets==1.11.0， it's all right. Util update the latest version, it get the error like this:
```
>>> from datasets import load_dataset
>>> data_files={'train': ['/ssd/datasets/imagenet/pytorch/train'], 'validation': ['/ssd/datasets/imagenet/pytorch/val']}
>>> ds = load_data... |
https://github.com/huggingface/datasets/issues/3960 | Load local dataset error | > Thanks for rerunning the code to record the output. Is it the `"Resolving data files"` part on your machine that takes a long time to complete, or is it `"Loading cached processed dataset at ..."˙`? We plan to speed up the latter by splitting bigger Arrow files into smaller ones, but your dataset doesn't seem that bi... | When i used the datasets==1.11.0， it's all right. Util update the latest version, it get the error like this:
```
>>> from datasets import load_dataset
>>> data_files={'train': ['/ssd/datasets/imagenet/pytorch/train'], 'validation': ['/ssd/datasets/imagenet/pytorch/val']}
>>> ds = load_dataset('nateraw/image-folder... | 90 | Load local dataset error
When i used the datasets==1.11.0， it's all right. Util update the latest version, it get the error like this:
```
>>> from datasets import load_dataset
>>> data_files={'train': ['/ssd/datasets/imagenet/pytorch/train'], 'validation': ['/ssd/datasets/imagenet/pytorch/val']}
>>> ds = load_data... |
https://github.com/huggingface/datasets/issues/3960 | Load local dataset error | I'm getting this problem. Script has been stuck at this part for the past 15 or so minutes:
`Resolving data files: 100%|█████████████████████████████████████████| 107/107 [00:00<00:00, 472.74it/s]`
I had everything working fine on an AWS EC2 node with a single GPU. Then I created an image based on the single GPU... | When i used the datasets==1.11.0， it's all right. Util update the latest version, it get the error like this:
```
>>> from datasets import load_dataset
>>> data_files={'train': ['/ssd/datasets/imagenet/pytorch/train'], 'validation': ['/ssd/datasets/imagenet/pytorch/val']}
>>> ds = load_dataset('nateraw/image-folder... | 162 | Load local dataset error
When i used the datasets==1.11.0， it's all right. Util update the latest version, it get the error like this:
```
>>> from datasets import load_dataset
>>> data_files={'train': ['/ssd/datasets/imagenet/pytorch/train'], 'validation': ['/ssd/datasets/imagenet/pytorch/val']}
>>> ds = load_data... |
https://github.com/huggingface/datasets/issues/4041 | Add support for IIIF in datasets | Hi! Thanks for the detailed analysis of adding IIIF support. I like the idea of "using IIIF through datasets scripts" due to its ease of use. Another approach that I like is yielding image ids and using the `piffle` library (which offers a bit more flexibility) + `map` to download + cache images. We can handle bad URLs... | This is a feature request for support for IIIF in `datasets`. Apologies for the long issue. I have also used a different format to the usual feature request since I think that makes more sense but happy to use the standard template if preferred.
## What is [IIIF](https://iiif.io/)?
IIIF (International Image Inte... | 145 | Add support for IIIF in datasets
This is a feature request for support for IIIF in `datasets`. Apologies for the long issue. I have also used a different format to the usual feature request since I think that makes more sense but happy to use the standard template if preferred.
## What is [IIIF](https://iiif.io/)?... |
https://github.com/huggingface/datasets/issues/6183 | Load dataset with non-existent file | This was fixed in https://github.com/huggingface/datasets/pull/6155, which will be included in the next release (or you can install `datasets` from source to use it immediately). | ### Describe the bug
When load a dataset from datasets and pass a wrong path to json with the data, error message does not contain something abount "wrong path" or "file do not exist" -
```SchemaInferenceError: Please pass `features` or at least one example when writing data```
### Steps to reproduce the bug
... | 24 | Load dataset with non-existent file
### Describe the bug
When load a dataset from datasets and pass a wrong path to json with the data, error message does not contain something abount "wrong path" or "file do not exist" -
```SchemaInferenceError: Please pass `features` or at least one example when writing data``... |
https://github.com/huggingface/datasets/issues/5862 | IndexError: list index out of range with data hosted on Zenodo | This error is also raised when data is hosted on Google Drive:
- https://huggingface.co/datasets/docred/discussions/5
- https://huggingface.co/datasets/linnaeus/discussions/3
- https://huggingface.co/datasets/poleval2019_mt/discussions/3
- https://huggingface.co/datasets/reddit_tifu/discussions/2
- https://hugging... | The dataset viewer sometimes raises an `IndexError`:
```
IndexError: list index out of range
```
See:
- huggingface/datasets-server#1151
- https://huggingface.co/datasets/reddit/discussions/5
- huggingface/datasets-server#1118
- https://huggingface.co/datasets/krr-oxford/OntoLAMA/discussions/1
- https://hu... | 26 | IndexError: list index out of range with data hosted on Zenodo
The dataset viewer sometimes raises an `IndexError`:
```
IndexError: list index out of range
```
See:
- huggingface/datasets-server#1151
- https://huggingface.co/datasets/reddit/discussions/5
- huggingface/datasets-server#1118
- https://huggingf... |
https://github.com/huggingface/datasets/issues/8171 | Dataset UI shows 0:00/0:00 for audio after push_to_hub | Hello,
I am trying to find my first issue to resolve. I can't reproduce your problem. When I go in the hub UI to your dataset. I can see the length of each audio. It takes some time to load
## Dataset Card
<img width="584" height="644" alt="Image" src="https://github.com/user-attachments/assets/8b0e38fb-a922-49be-969... | I’m seeing an issue where audio previews in the dataset viewer show `0:00/0:00` after uploading with push_to_hub.
## What I did
I tried to avoid `torchcodec` because I want to keep the packages small using the following code:
```python
import io
import os
import shutil
import tempfile
from pathlib import Path
imp... | 59 | Dataset UI shows 0:00/0:00 for audio after push_to_hub
I’m seeing an issue where audio previews in the dataset viewer show `0:00/0:00` after uploading with push_to_hub.
## What I did
I tried to avoid `torchcodec` because I want to keep the packages small using the following code:
```python
import io
import os
impo... |
https://github.com/huggingface/datasets/issues/8171 | Dataset UI shows 0:00/0:00 for audio after push_to_hub | > Hello, I am trying to find my first issue to resolve. I can't reproduce your problem. When I go in the hub UI to your dataset. I can see the length of each audio. It takes some time to load
>
> ## Dataset Card
> <img alt="Image" width="584" height="644" src="https://private-user-images.githubusercontent.com/80837432... | I’m seeing an issue where audio previews in the dataset viewer show `0:00/0:00` after uploading with push_to_hub.
## What I did
I tried to avoid `torchcodec` because I want to keep the packages small using the following code:
```python
import io
import os
import shutil
import tempfile
from pathlib import Path
imp... | 78 | Dataset UI shows 0:00/0:00 for audio after push_to_hub
I’m seeing an issue where audio previews in the dataset viewer show `0:00/0:00` after uploading with push_to_hub.
## What I did
I tried to avoid `torchcodec` because I want to keep the packages small using the following code:
```python
import io
import os
impo... |
https://github.com/huggingface/datasets/issues/8171 | Dataset UI shows 0:00/0:00 for audio after push_to_hub | Hi ! there was an issue with flac indeed and it should fixed now. Let me know if the issue persists | I’m seeing an issue where audio previews in the dataset viewer show `0:00/0:00` after uploading with push_to_hub.
## What I did
I tried to avoid `torchcodec` because I want to keep the packages small using the following code:
```python
import io
import os
import shutil
import tempfile
from pathlib import Path
imp... | 21 | Dataset UI shows 0:00/0:00 for audio after push_to_hub
I’m seeing an issue where audio previews in the dataset viewer show `0:00/0:00` after uploading with push_to_hub.
## What I did
I tried to avoid `torchcodec` because I want to keep the packages small using the following code:
```python
import io
import os
impo... |
https://github.com/huggingface/datasets/issues/7496 | Json builder: Allow features to override problematic Arrow types | Hi ! It would be cool indeed, currently the JSON data are generally loaded here:
https://github.com/huggingface/datasets/blob/90e5bf8a8599b625d6103ee5ac83b98269991141/src/datasets/packaged_modules/json/json.py#L137-L140
Maybe we can pass a Arrow `schema` to avoid errors ? | ### Feature request
In the JSON builder, use explicitly requested feature types before or while converting to Arrow.
### Motivation
Working with JSON datasets is really hard because of Arrow. At the very least, it seems like it should be possible to work-around these problems by explicitly setting problematic colum... | 27 | Json builder: Allow features to override problematic Arrow types
### Feature request
In the JSON builder, use explicitly requested feature types before or while converting to Arrow.
### Motivation
Working with JSON datasets is really hard because of Arrow. At the very least, it seems like it should be possible to w... |
https://github.com/huggingface/datasets/issues/5931 | `datasets.map` not reusing cached copy by default | This can happen when a map transform cannot be hashed deterministically (e.g., an object referenced by the transform changes its state after the first call - an issue with fast tokenizers). The solution is to provide `cache_file_name` in the `map` call to check this file for the cached result instead of relying on the ... | ### Describe the bug
When I load the dataset from local directory, it's cached copy is picked up after first time. However, for `map` operation, the operation is applied again and cached copy is not picked up. Is there any way to pick cached copy instead of processing it again? The only solution I could think of was... | 57 | `datasets.map` not reusing cached copy by default
### Describe the bug
When I load the dataset from local directory, it's cached copy is picked up after first time. However, for `map` operation, the operation is applied again and cached copy is not picked up. Is there any way to pick cached copy instead of processin... |
https://github.com/huggingface/datasets/issues/7637 | Introduce subset_name as an alias of config_name | I second this! When you come from the Hub, the intuitive question is "how do I set the subset name", and it's not easily answered from the docs: `subset_name` would answer this directly. | ### Feature request
Add support for `subset_name` as an alias for `config_name` in the datasets library and related tools (such as loading scripts, documentation, and metadata).
### Motivation
The Hugging Face Hub dataset viewer displays a column named **"Subset"**, which refers to what is currently technically call... | 33 | Introduce subset_name as an alias of config_name
### Feature request
Add support for `subset_name` as an alias for `config_name` in the datasets library and related tools (such as loading scripts, documentation, and metadata).
### Motivation
The Hugging Face Hub dataset viewer displays a column named **"Subset"**, w... |
https://github.com/huggingface/datasets/issues/7637 | Introduce subset_name as an alias of config_name | I've submitted PR [#7657](https://github.com/huggingface/datasets/pull/7657) to introduce subset_name as a user-facing alias for name in load_dataset, keeping terminology consistent with the Hub UI (“Subset”). It’s fully backward-compatible and includes a conflict check.
Let me know if you'd like me to include tests a... | ### Feature request
Add support for `subset_name` as an alias for `config_name` in the datasets library and related tools (such as loading scripts, documentation, and metadata).
### Motivation
The Hugging Face Hub dataset viewer displays a column named **"Subset"**, which refers to what is currently technically call... | 53 | Introduce subset_name as an alias of config_name
### Feature request
Add support for `subset_name` as an alias for `config_name` in the datasets library and related tools (such as loading scripts, documentation, and metadata).
### Motivation
The Hugging Face Hub dataset viewer displays a column named **"Subset"**, w... |
https://github.com/huggingface/datasets/issues/7637 | Introduce subset_name as an alias of config_name | The main usage is as a positional argument anyway, so I wouldn't necessarily agree that we need an alias (with the risk of confusing users). But happy to have more mentions in the docs of syntaxes like `load_dataset("dataset_name", "subset_name")` | ### Feature request
Add support for `subset_name` as an alias for `config_name` in the datasets library and related tools (such as loading scripts, documentation, and metadata).
### Motivation
The Hugging Face Hub dataset viewer displays a column named **"Subset"**, which refers to what is currently technically call... | 39 | Introduce subset_name as an alias of config_name
### Feature request
Add support for `subset_name` as an alias for `config_name` in the datasets library and related tools (such as loading scripts, documentation, and metadata).
### Motivation
The Hugging Face Hub dataset viewer displays a column named **"Subset"**, w... |
https://github.com/huggingface/datasets/issues/7637 | Introduce subset_name as an alias of config_name | > The main usage is as a positional argument anyway, so I wouldn't necessarily agree that we need an alias (with the risk of confusing users). But happy to have more mentions in the docs of syntaxes like `load_dataset("dataset_name", "subset_name")`
Thanks @lhoestq, totally fair point — especially with positional usag... | ### Feature request
Add support for `subset_name` as an alias for `config_name` in the datasets library and related tools (such as loading scripts, documentation, and metadata).
### Motivation
The Hugging Face Hub dataset viewer displays a column named **"Subset"**, which refers to what is currently technically call... | 83 | Introduce subset_name as an alias of config_name
### Feature request
Add support for `subset_name` as an alias for `config_name` in the datasets library and related tools (such as loading scripts, documentation, and metadata).
### Motivation
The Hugging Face Hub dataset viewer displays a column named **"Subset"**, w... |
https://github.com/huggingface/datasets/issues/4575 | Problem about wmt17 zh-en dataset | @winterfell2021 Hi, I wonder where the code you provided should be added. I tried to add them in the `datasets/table.py` in `array_cast` function, however, the 'zh' item is none. | It seems that in subset casia2015, some samples are like `{'c[hn]':'xxx', 'en': 'aa'}`.
So when using `data = load_dataset('wmt17', "zh-en")` to load the wmt17 zh-en dataset, which will raise the exception:
```
Traceback (most recent call last):
File "train.py", line 78, in <module>
data = load_dataset(args.... | 29 | Problem about wmt17 zh-en dataset
It seems that in subset casia2015, some samples are like `{'c[hn]':'xxx', 'en': 'aa'}`.
So when using `data = load_dataset('wmt17', "zh-en")` to load the wmt17 zh-en dataset, which will raise the exception:
```
Traceback (most recent call last):
File "train.py", line 78, in <modu... |
https://github.com/huggingface/datasets/issues/4575 | Problem about wmt17 zh-en dataset | I found some 'zh' item is none while 'c[hn]' is not.
So the code may change to:
```python
if 'c[hn]' in str(array.type):
py_array = array.to_pylist()
data_list = []
for vo in py_array:
tmp = {
'en': vo['en'],
}
if vo.get('zh'):
... | It seems that in subset casia2015, some samples are like `{'c[hn]':'xxx', 'en': 'aa'}`.
So when using `data = load_dataset('wmt17', "zh-en")` to load the wmt17 zh-en dataset, which will raise the exception:
```
Traceback (most recent call last):
File "train.py", line 78, in <module>
data = load_dataset(args.... | 58 | Problem about wmt17 zh-en dataset
It seems that in subset casia2015, some samples are like `{'c[hn]':'xxx', 'en': 'aa'}`.
So when using `data = load_dataset('wmt17', "zh-en")` to load the wmt17 zh-en dataset, which will raise the exception:
```
Traceback (most recent call last):
File "train.py", line 78, in <modu... |
https://github.com/huggingface/datasets/issues/4575 | Problem about wmt17 zh-en dataset | I just pushed a fix, we'll do a new release of `datasets` soon to include this fix. In the meantime you can use the fixed dataset by passing `revision="main"` to `load_dataset` | It seems that in subset casia2015, some samples are like `{'c[hn]':'xxx', 'en': 'aa'}`.
So when using `data = load_dataset('wmt17', "zh-en")` to load the wmt17 zh-en dataset, which will raise the exception:
```
Traceback (most recent call last):
File "train.py", line 78, in <module>
data = load_dataset(args.... | 31 | Problem about wmt17 zh-en dataset
It seems that in subset casia2015, some samples are like `{'c[hn]':'xxx', 'en': 'aa'}`.
So when using `data = load_dataset('wmt17', "zh-en")` to load the wmt17 zh-en dataset, which will raise the exception:
```
Traceback (most recent call last):
File "train.py", line 78, in <modu... |
https://github.com/huggingface/datasets/issues/4581 | Dataset Viewer issue for pn_summary | Note that I refreshed twice this dataset, and I still have (another) error on one of the splits
```
Status code: 400
Exception: ClientResponseError
Message: 403, message='Forbidden', url=URL('https://doc-14-4c-docs.googleusercontent.com/docs/securesc/ha0ro937gcuc7l7deffksulhg5h7mbp1/pgotjmcuh77q0lk7p4... | ### Link
https://huggingface.co/datasets/pn_summary/viewer/1.0.0/validation
### Description
Getting an index error on the `validation` and `test` splits:
```
Server error
Status code: 400
Exception: IndexError
Message: list index out of range
```
### Owner
No | 51 | Dataset Viewer issue for pn_summary
### Link
https://huggingface.co/datasets/pn_summary/viewer/1.0.0/validation
### Description
Getting an index error on the `validation` and `test` splits:
```
Server error
Status code: 400
Exception: IndexError
Message: list index out of range
```
### Owner
No... |
https://github.com/huggingface/datasets/issues/4528 | Memory leak when iterating a Dataset | Here is a modified repro example that makes it easier to see the leak:
```
$ cat ds2.py
import gc, sys
import time
from datasets import load_dataset
import os, psutil
process = psutil.Process(os.getpid())
print(process.memory_info().rss/2**20)
corpus = load_dataset("BeIR/msmarco", 'corpus', keep_in_mem... | e## Describe the bug
It seems that memory never gets freed after iterating a `Dataset` (using `.map()` or a simple `for` loop)
## Steps to reproduce the bug
```python
import gc
import logging
import time
import pyarrow
from datasets import load_dataset
from tqdm import trange
import os, psutil
logging.ba... | 160 | Memory leak when iterating a Dataset
e## Describe the bug
It seems that memory never gets freed after iterating a `Dataset` (using `.map()` or a simple `for` loop)
## Steps to reproduce the bug
```python
import gc
import logging
import time
import pyarrow
from datasets import load_dataset
from tqdm import tr... |
https://github.com/huggingface/datasets/issues/4528 | Memory leak when iterating a Dataset | @NouamaneTazi, please check my analysis here https://github.com/huggingface/datasets/issues/4883#issuecomment-1242599722 so if you agree with my research this Issue can be closed as well.
I also made a suggestion at how to proceed to hunt for a real leak here https://github.com/huggingface/datasets/issues/4883#issue... | e## Describe the bug
It seems that memory never gets freed after iterating a `Dataset` (using `.map()` or a simple `for` loop)
## Steps to reproduce the bug
```python
import gc
import logging
import time
import pyarrow
from datasets import load_dataset
from tqdm import trange
import os, psutil
logging.ba... | 49 | Memory leak when iterating a Dataset
e## Describe the bug
It seems that memory never gets freed after iterating a `Dataset` (using `.map()` or a simple `for` loop)
## Steps to reproduce the bug
```python
import gc
import logging
import time
import pyarrow
from datasets import load_dataset
from tqdm import tr... |
https://github.com/huggingface/datasets/issues/4528 | Memory leak when iterating a Dataset | Amazing job! Thanks for taking time to debug this 🤗
For my side, I tried to do some more research as well, but to no avail. https://github.com/huggingface/datasets/issues/4883#issuecomment-1243415957 | e## Describe the bug
It seems that memory never gets freed after iterating a `Dataset` (using `.map()` or a simple `for` loop)
## Steps to reproduce the bug
```python
import gc
import logging
import time
import pyarrow
from datasets import load_dataset
from tqdm import trange
import os, psutil
logging.ba... | 27 | Memory leak when iterating a Dataset
e## Describe the bug
It seems that memory never gets freed after iterating a `Dataset` (using `.map()` or a simple `for` loop)
## Steps to reproduce the bug
```python
import gc
import logging
import time
import pyarrow
from datasets import load_dataset
from tqdm import tr... |
https://github.com/huggingface/datasets/issues/6395 | Add ability to set lock type | We've replaced our filelock implementation with the `filelock` package, so their repo is the right place to request this feature.
In the meantime, the following should work:
```python
import filelock
filelock.FileLock = filelock.SoftFileLock
import datasets
...
``` | ### Feature request
Allow setting file lock type, maybe from an environment variable
Currently, it only depends on whether fnctl is available:
https://github.com/huggingface/datasets/blob/12ebe695b4748c5a26e08b44ed51955f74f5801d/src/datasets/utils/filelock.py#L463-L470C16
### Motivation
In my environment... | 37 | Add ability to set lock type
### Feature request
Allow setting file lock type, maybe from an environment variable
Currently, it only depends on whether fnctl is available:
https://github.com/huggingface/datasets/blob/12ebe695b4748c5a26e08b44ed51955f74f5801d/src/datasets/utils/filelock.py#L463-L470C16
### Mo... |
https://github.com/huggingface/datasets/issues/4571 | move under the facebook org? | I'm just wondering why we don't have this dataset under:
- the `facebook` namespace
- or the canonical dataset `flores`: why does this only have 2 languages? | ### Link
https://huggingface.co/datasets/gsarti/flores_101
### Description
It seems like streaming isn't supported for this dataset:
```
Server Error
Status code: 400
Exception: NotImplementedError
Message: Extraction protocol for TAR archives like 'https://dl.fbaipublicfiles.com/flores101/dataset... | 27 | move under the facebook org?
### Link
https://huggingface.co/datasets/gsarti/flores_101
### Description
It seems like streaming isn't supported for this dataset:
```
Server Error
Status code: 400
Exception: NotImplementedError
Message: Extraction protocol for TAR archives like 'https://dl.fbaipubl... |
https://github.com/huggingface/datasets/issues/7404 | Performance regression in `dataset.filter` | I just released `datasets` 3.3.1 with a fix, let me know if it's good now :) | ### Describe the bug
We're filtering dataset of ~1M (small-ish) records. At some point in the code we do `dataset.filter`, before (including 3.2.0) it was taking couple of seconds, and now it takes 4 hours.
We use 16 threads/workers, and stack trace at them look as follows:
```
Traceback (most recent call last):
Fi... | 16 | Performance regression in `dataset.filter`
### Describe the bug
We're filtering dataset of ~1M (small-ish) records. At some point in the code we do `dataset.filter`, before (including 3.2.0) it was taking couple of seconds, and now it takes 4 hours.
We use 16 threads/workers, and stack trace at them look as follows:
... |
https://github.com/huggingface/datasets/issues/4099 | UnicodeDecodeError: 'ascii' codec can't decode byte 0xe5 in position 213: ordinal not in range(128) | Hi @andreybond, thanks for reporting.
Unfortunately, I'm not able to able to reproduce your issue:
```python
In [4]: from datasets import load_dataset
...: datasets = load_dataset("nielsr/XFUN", "xfun.ja")
In [5]: datasets
Out[5]:
DatasetDict({
train: Dataset({
features: ['id', 'input_ids',... | ## Describe the bug
Error "UnicodeDecodeError: 'ascii' codec can't decode byte 0xe5 in position 213: ordinal not in range(128)" is thrown when downloading dataset.
## Steps to reproduce the bug
```python
from datasets import load_dataset
datasets = load_dataset("nielsr/XFUN", "xfun.ja")
```
## Expected resu... | 123 | UnicodeDecodeError: 'ascii' codec can't decode byte 0xe5 in position 213: ordinal not in range(128)
## Describe the bug
Error "UnicodeDecodeError: 'ascii' codec can't decode byte 0xe5 in position 213: ordinal not in range(128)" is thrown when downloading dataset.
## Steps to reproduce the bug
```python
from datas... |
https://github.com/huggingface/datasets/issues/4099 | UnicodeDecodeError: 'ascii' codec can't decode byte 0xe5 in position 213: ordinal not in range(128) | I opened a PR in the original dataset loading script:
- microsoft/unilm#677
and fixed the corresponding dataset script on the Hub:
- https://huggingface.co/datasets/nielsr/XFUN/commit/73ba5e026621e05fb756ae0f267eb49971f70ebd | ## Describe the bug
Error "UnicodeDecodeError: 'ascii' codec can't decode byte 0xe5 in position 213: ordinal not in range(128)" is thrown when downloading dataset.
## Steps to reproduce the bug
```python
from datasets import load_dataset
datasets = load_dataset("nielsr/XFUN", "xfun.ja")
```
## Expected resu... | 23 | UnicodeDecodeError: 'ascii' codec can't decode byte 0xe5 in position 213: ordinal not in range(128)
## Describe the bug
Error "UnicodeDecodeError: 'ascii' codec can't decode byte 0xe5 in position 213: ordinal not in range(128)" is thrown when downloading dataset.
## Steps to reproduce the bug
```python
from datas... |
https://github.com/huggingface/datasets/issues/4099 | UnicodeDecodeError: 'ascii' codec can't decode byte 0xe5 in position 213: ordinal not in range(128) | import sys
sys.getdefaultencoding()
returned: 'utf-8'
---------------------
I've just cloned master branch - your fix works! Thank you! | ## Describe the bug
Error "UnicodeDecodeError: 'ascii' codec can't decode byte 0xe5 in position 213: ordinal not in range(128)" is thrown when downloading dataset.
## Steps to reproduce the bug
```python
from datasets import load_dataset
datasets = load_dataset("nielsr/XFUN", "xfun.ja")
```
## Expected resu... | 17 | UnicodeDecodeError: 'ascii' codec can't decode byte 0xe5 in position 213: ordinal not in range(128)
## Describe the bug
Error "UnicodeDecodeError: 'ascii' codec can't decode byte 0xe5 in position 213: ordinal not in range(128)" is thrown when downloading dataset.
## Steps to reproduce the bug
```python
from datas... |
https://github.com/huggingface/datasets/issues/5117 | Progress bars have color red and never completed to 100% | Hi @echatzikyriakidis, thanks for submitting the issue.
Which shell are you using exactly? I tried to run the command you sent, but I don't see colors at all 🧐
I tried from bash and zsh as well. | ## Describe the bug
Progress bars after transformative operations turn in red and never be completed to 100%
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset('rotten_tomatoes', split='test').filter(lambda o: True)
```
## Expected results
Progress bar should be 100% an... | 37 | Progress bars have color red and never completed to 100%
## Describe the bug
Progress bars after transformative operations turn in red and never be completed to 100%
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset('rotten_tomatoes', split='test').filter(lambda o: True)
`... |
https://github.com/huggingface/datasets/issues/5117 | Progress bars have color red and never completed to 100% | Got it. I [created a PR](https://github.com/huggingface/datasets/pull/5120) that fixes this issue. Turns out that the wrapping logic for the inner loop was slightly incorrect. | ## Describe the bug
Progress bars after transformative operations turn in red and never be completed to 100%
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset('rotten_tomatoes', split='test').filter(lambda o: True)
```
## Expected results
Progress bar should be 100% an... | 23 | Progress bars have color red and never completed to 100%
## Describe the bug
Progress bars after transformative operations turn in red and never be completed to 100%
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset('rotten_tomatoes', split='test').filter(lambda o: True)
`... |
https://github.com/huggingface/datasets/issues/5117 | Progress bars have color red and never completed to 100% | Hello @mariosasko
I am still facing this issue. Was this problem fixed?
I cleared the hugging face cache before running, and no error message was given. Let me know if you nee... | ## Describe the bug
Progress bars after transformative operations turn in red and never be completed to 100%
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset('rotten_tomatoes', split='test').filter(lambda o: True)
```
## Expected results
Progress bar should be 100% an... | 46 | Progress bars have color red and never completed to 100%
## Describe the bug
Progress bars after transformative operations turn in red and never be completed to 100%
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset('rotten_tomatoes', split='test').filter(lambda o: True)
`... |
https://github.com/huggingface/datasets/issues/5383 | IterableDataset missing column_names, differs from Dataset interface | Another example is that `IterableDataset.map` does not have `fn_kwargs`, among other arguments. It makes it harder to convert code from Dataset to IterableDataset. | ### Describe the bug
The documentation on [Stream](https://huggingface.co/docs/datasets/v1.18.2/stream.html) seems to imply that IterableDataset behaves just like a Dataset. However, examples like
```
dataset.map(augment_data, batched=True, remove_columns=dataset.column_names, ...)
```
will not work because `.colu... | 23 | IterableDataset missing column_names, differs from Dataset interface
### Describe the bug
The documentation on [Stream](https://huggingface.co/docs/datasets/v1.18.2/stream.html) seems to imply that IterableDataset behaves just like a Dataset. However, examples like
```
dataset.map(augment_data, batched=True, remove_... |
https://github.com/huggingface/datasets/issues/5383 | IterableDataset missing column_names, differs from Dataset interface | Hi! `fn_kwargs` was added to `IterableDataset.map` in `datasets 2.5.0`, so please update your installation (`pip install -U datasets`) to use it.
Regarding `column_names`, I agree we should add this property to `IterableDataset`. In the meantime, you can use `list(dataset.features.keys())` instead. | ### Describe the bug
The documentation on [Stream](https://huggingface.co/docs/datasets/v1.18.2/stream.html) seems to imply that IterableDataset behaves just like a Dataset. However, examples like
```
dataset.map(augment_data, batched=True, remove_columns=dataset.column_names, ...)
```
will not work because `.colu... | 40 | IterableDataset missing column_names, differs from Dataset interface
### Describe the bug
The documentation on [Stream](https://huggingface.co/docs/datasets/v1.18.2/stream.html) seems to imply that IterableDataset behaves just like a Dataset. However, examples like
```
dataset.map(augment_data, batched=True, remove_... |
https://github.com/huggingface/datasets/issues/5383 | IterableDataset missing column_names, differs from Dataset interface | Thanks! That's great news.
On Thu, Dec 22, 2022, 07:48 Mario Šaško ***@***.***> wrote:
> Hi! fn_kwargs was added to IterableDataset.map in datasets 2.5.0, so
> please update your installation (pip install -U datasets) to use it.
>
> Regarding column_names, I agree we should add this property to
> IterableDataset. In ... | ### Describe the bug
The documentation on [Stream](https://huggingface.co/docs/datasets/v1.18.2/stream.html) seems to imply that IterableDataset behaves just like a Dataset. However, examples like
```
dataset.map(augment_data, batched=True, remove_columns=dataset.column_names, ...)
```
will not work because `.colu... | 96 | IterableDataset missing column_names, differs from Dataset interface
### Describe the bug
The documentation on [Stream](https://huggingface.co/docs/datasets/v1.18.2/stream.html) seems to imply that IterableDataset behaves just like a Dataset. However, examples like
```
dataset.map(augment_data, batched=True, remove_... |
https://github.com/huggingface/datasets/issues/5383 | IterableDataset missing column_names, differs from Dataset interface | I'm marking this issue as a "good first issue", as it makes sense to have `IterableDataset.column_names` in the API. Besides the case when `features` are `None` (e.g., `features` are `None` after `map`), in which we can also return `column_names` as `None`, adding this property should be straightforward, | ### Describe the bug
The documentation on [Stream](https://huggingface.co/docs/datasets/v1.18.2/stream.html) seems to imply that IterableDataset behaves just like a Dataset. However, examples like
```
dataset.map(augment_data, batched=True, remove_columns=dataset.column_names, ...)
```
will not work because `.colu... | 47 | IterableDataset missing column_names, differs from Dataset interface
### Describe the bug
The documentation on [Stream](https://huggingface.co/docs/datasets/v1.18.2/stream.html) seems to imply that IterableDataset behaves just like a Dataset. However, examples like
```
dataset.map(augment_data, batched=True, remove_... |
https://github.com/huggingface/datasets/issues/6702 | Push samples to dataset on hub without having the dataset locally | Hi ! For now I would recommend creating a new Parquet file using `dataset_new.to_parquet()` and upload it to HF using `huggingface_hub` every time you get a new batch of data. You can name the Parquet files `0000.parquet`, `0001.parquet`, etc.
Though maybe make sure to not upload one file per sample since that would... | ### Feature request
Say I have the following code:
```
from datasets import Dataset
import pandas as pd
new_data = {
"column_1": ["value1", "value2"],
"column_2": ["value3", "value4"],
}
df_new = pd.DataFrame(new_data)
dataset_new = Dataset.from_pandas(df_new)
# add these samples to a remote datase... | 70 | Push samples to dataset on hub without having the dataset locally
### Feature request
Say I have the following code:
```
from datasets import Dataset
import pandas as pd
new_data = {
"column_1": ["value1", "value2"],
"column_2": ["value3", "value4"],
}
df_new = pd.DataFrame(new_data)
dataset_new = D... |
https://github.com/huggingface/datasets/issues/7347 | Converting Arrow to WebDataset TAR Format for Offline Use | Hi,
I've downloaded an Arrow-formatted dataset offline using the hugggingface's datasets library by:
import json
from datasets import load_dataset
dataset = load_dataset("pixparse/cc3m-wds")
dataset.save_to_disk("./cc3m_1")
now I need to convert it to WebDataset's TAR format for offline data ingestion.
... | ### Feature request
Hi,
I've downloaded an Arrow-formatted dataset offline using the hugggingface's datasets library by:
```
import json
from datasets import load_dataset
dataset = load_dataset("pixparse/cc3m-wds")
dataset.save_to_disk("./cc3m_1")
```
now I need to convert it to WebDataset's TAR form... | 297 | Converting Arrow to WebDataset TAR Format for Offline Use
### Feature request
Hi,
I've downloaded an Arrow-formatted dataset offline using the hugggingface's datasets library by:
```
import json
from datasets import load_dataset
dataset = load_dataset("pixparse/cc3m-wds")
dataset.save_to_disk("./cc3m_1") ... |
https://github.com/huggingface/datasets/issues/7347 | Converting Arrow to WebDataset TAR Format for Offline Use | > now I need to convert it to WebDataset's TAR format for offline data ingestion.
you can directly download the .TAR files from HF using e.g. `huggingface-cli download` and load them in webdataset :) | ### Feature request
Hi,
I've downloaded an Arrow-formatted dataset offline using the hugggingface's datasets library by:
```
import json
from datasets import load_dataset
dataset = load_dataset("pixparse/cc3m-wds")
dataset.save_to_disk("./cc3m_1")
```
now I need to convert it to WebDataset's TAR form... | 34 | Converting Arrow to WebDataset TAR Format for Offline Use
### Feature request
Hi,
I've downloaded an Arrow-formatted dataset offline using the hugggingface's datasets library by:
```
import json
from datasets import load_dataset
dataset = load_dataset("pixparse/cc3m-wds")
dataset.save_to_disk("./cc3m_1") ... |
https://github.com/huggingface/datasets/issues/7347 | Converting Arrow to WebDataset TAR Format for Offline Use | الفله سنه والطبقه يوم
احصل على Outlook لـ iOS<https://aka.ms/o0ukef>
________________________________
من: Quentin Lhoest ***@***.***>
تم الإرسال: Friday, December 27, 2024 4:14:43 PM
إلى: huggingface/datasets ***@***.***>
نسخة: hamad350 ***@***.***>; Comment ***@***.***>
الموضوع: Re: [huggingface/datasets]... | ### Feature request
Hi,
I've downloaded an Arrow-formatted dataset offline using the hugggingface's datasets library by:
```
import json
from datasets import load_dataset
dataset = load_dataset("pixparse/cc3m-wds")
dataset.save_to_disk("./cc3m_1")
```
now I need to convert it to WebDataset's TAR form... | 98 | Converting Arrow to WebDataset TAR Format for Offline Use
### Feature request
Hi,
I've downloaded an Arrow-formatted dataset offline using the hugggingface's datasets library by:
```
import json
from datasets import load_dataset
dataset = load_dataset("pixparse/cc3m-wds")
dataset.save_to_disk("./cc3m_1") ... |
https://github.com/huggingface/datasets/issues/7347 | Converting Arrow to WebDataset TAR Format for Offline Use | > > now I need to convert it to WebDataset's TAR format for offline data ingestion.
>
> you can directly download the .TAR files from HF using e.g. `huggingface-cli download` and load them in webdataset :)
Thanks a lot! I completely forgot to use Hugging Face-CLI download. Thanks for the reminding! | ### Feature request
Hi,
I've downloaded an Arrow-formatted dataset offline using the hugggingface's datasets library by:
```
import json
from datasets import load_dataset
dataset = load_dataset("pixparse/cc3m-wds")
dataset.save_to_disk("./cc3m_1")
```
now I need to convert it to WebDataset's TAR form... | 52 | Converting Arrow to WebDataset TAR Format for Offline Use
### Feature request
Hi,
I've downloaded an Arrow-formatted dataset offline using the hugggingface's datasets library by:
```
import json
from datasets import load_dataset
dataset = load_dataset("pixparse/cc3m-wds")
dataset.save_to_disk("./cc3m_1") ... |
https://github.com/huggingface/datasets/issues/6805 | Batched mapping of existing string column casts boolean to string | This seems to be hardcoded behavior in table.py `array_cast`.
```python
if (
not allow_number_to_str
and pa.types.is_string(pa_type)
and (pa.types.is_floating(array.type) or pa.types.is_integer(array.type))
):
raise TypeError(
f"Couldn't ca... | ### Describe the bug
Let the dataset contain a column named 'a', which is of the string type.
If 'a' is converted to a boolean using batched mapping, the mapper automatically casts the boolean to a string (e.g., True -> 'true').
It only happens when the original column and the mapped column name are identical.
Th... | 74 | Batched mapping of existing string column casts boolean to string
### Describe the bug
Let the dataset contain a column named 'a', which is of the string type.
If 'a' is converted to a boolean using batched mapping, the mapper automatically casts the boolean to a string (e.g., True -> 'true').
It only happens when t... |
https://github.com/huggingface/datasets/issues/6805 | Batched mapping of existing string column casts boolean to string | I'll gladly create a PR but not sure what the behavior should be.
Should a value returned from map be cast to the current feature?
At the moment this seems very inconsistent since `datetime `is also cast (this would only fix `boolean`) but nested structures are not.
```python
dset = Dataset.from_dict({"a": ["He... | ### Describe the bug
Let the dataset contain a column named 'a', which is of the string type.
If 'a' is converted to a boolean using batched mapping, the mapper automatically casts the boolean to a string (e.g., True -> 'true').
It only happens when the original column and the mapped column name are identical.
Th... | 109 | Batched mapping of existing string column casts boolean to string
### Describe the bug
Let the dataset contain a column named 'a', which is of the string type.
If 'a' is converted to a boolean using batched mapping, the mapper automatically casts the boolean to a string (e.g., True -> 'true').
It only happens when t... |
https://github.com/huggingface/datasets/issues/6805 | Batched mapping of existing string column casts boolean to string | Indeed, it also makes sense to raise a `TypeError` for temporal and decimal types.
> Is there are reason to cast the value if the user doesn't specify it explicitly?
This is how PyArrow's built-in `cast` behaves - it allows casting from primitive types to strings. Hence, we need `allow_number_to_str` to disallow ... | ### Describe the bug
Let the dataset contain a column named 'a', which is of the string type.
If 'a' is converted to a boolean using batched mapping, the mapper automatically casts the boolean to a string (e.g., True -> 'true').
It only happens when the original column and the mapped column name are identical.
Th... | 117 | Batched mapping of existing string column casts boolean to string
### Describe the bug
Let the dataset contain a column named 'a', which is of the string type.
If 'a' is converted to a boolean using batched mapping, the mapper automatically casts the boolean to a string (e.g., True -> 'true').
It only happens when t... |
https://github.com/huggingface/datasets/issues/6805 | Batched mapping of existing string column casts boolean to string | Would just `allow_primitive_to_str` work?
This should include all `numeric`, `boolean `and `temporal`formats.
Note that at least in the [ C++ implementation](https://arrow.apache.org/docs/cpp/api/utilities.html#_CPPv410is_numericRK8DataType) `numeric `seems to exclude `boolean`.
[](https://arrow.apache.org/docs/cp... | ### Describe the bug
Let the dataset contain a column named 'a', which is of the string type.
If 'a' is converted to a boolean using batched mapping, the mapper automatically casts the boolean to a string (e.g., True -> 'true').
It only happens when the original column and the mapped column name are identical.
Th... | 27 | Batched mapping of existing string column casts boolean to string
### Describe the bug
Let the dataset contain a column named 'a', which is of the string type.
If 'a' is converted to a boolean using batched mapping, the mapper automatically casts the boolean to a string (e.g., True -> 'true').
It only happens when t... |
https://github.com/huggingface/datasets/issues/6805 | Batched mapping of existing string column casts boolean to string | Indeed, `allow_primitive_to_str` sounds better.
PS: PyArrow's `pa.types.is_primitive` returns `False` for decimal types, but I think is okay for us to treat decimals as primitive types (or we can have `allow_decimal_to_str` to be fully consistent with PyArrow) | ### Describe the bug
Let the dataset contain a column named 'a', which is of the string type.
If 'a' is converted to a boolean using batched mapping, the mapper automatically casts the boolean to a string (e.g., True -> 'true').
It only happens when the original column and the mapped column name are identical.
Th... | 36 | Batched mapping of existing string column casts boolean to string
### Describe the bug
Let the dataset contain a column named 'a', which is of the string type.
If 'a' is converted to a boolean using batched mapping, the mapper automatically casts the boolean to a string (e.g., True -> 'true').
It only happens when t... |
https://github.com/huggingface/datasets/issues/6086 | Support `fsspec` in `Dataset.to_<format>` methods | I'm assuming this should just cover `to_csv`, `to_parquet`, and `to_json`, right? As `to_list` and `to_dict` just return Python objects, `to_pandas` returns a `pandas.DataFrame` and `to_sql` just inserts into a SQL DB, is that right? | Supporting this should be fairly easy.
Requested on the forum [here](https://discuss.huggingface.co/t/how-can-i-convert-a-loaded-dataset-in-to-a-parquet-file-and-save-it-to-the-s3/48353). | 34 | Support `fsspec` in `Dataset.to_<format>` methods
Supporting this should be fairly easy.
Requested on the forum [here](https://discuss.huggingface.co/t/how-can-i-convert-a-loaded-dataset-in-to-a-parquet-file-and-save-it-to-the-s3/48353).
I'm assuming this should just cover `to_csv`, `to_parquet`, and `to_json`, righ... |
https://github.com/huggingface/datasets/issues/3904 | CONLL2003 Dataset not available | Thanks for reporting, @omarespejel.
I'm sorry but I can't reproduce the issue: the loading of the dataset works perfecto for me and I can reach the data URL: https://data.deepai.org/conll2003.zip
Might it be due to a temporary problem in the data owner site (https://data.deepai.org/) that is fixed now?
Could you... | ## Describe the bug
[CONLL2003](https://huggingface.co/datasets/conll2003) Dataset can no longer reach 'https://data.deepai.org/conll2003.zip'
## Steps to reproduce the bug
```python
from datasets impo... | 61 | CONLL2003 Dataset not available
## Describe the bug
[CONLL2003](https://huggingface.co/datasets/conll2003) Dataset can no longer reach 'https://data.deepai.org/conll2003.zip'
## Steps to reproduce the bu... |
https://github.com/huggingface/datasets/issues/3904 | CONLL2003 Dataset not available | I am getting the same issue. I use google colab with CPU.
The code I used is exactly the same as described above.
```
from datasets import load_dataset
dataset = load_dataset("conll2003")
```
The produced error:
 Dataset can no longer reach 'https://data.deepai.org/conll2003.zip'
## Steps to reproduce the bug
```python
from datasets impo... | 193 | CONLL2003 Dataset not available
## Describe the bug
[CONLL2003](https://huggingface.co/datasets/conll2003) Dataset can no longer reach 'https://data.deepai.org/conll2003.zip'
## Steps to reproduce the bu... |
https://github.com/huggingface/datasets/issues/3499 | Adjusting chunk size for streaming datasets | Hi ! Data streaming uses `fsspec` to read the data files progressively. IIRC the block size for buffering is 5MiB by default. So every time you finish iterating over a block, it downloads the next one. You can still try to increase the `fsspec` block size for buffering if it can help. To do so you just need to increase... | **Is your feature request related to a problem? Please describe.**
I want to use mc4 which I cannot save locally, so I stream it. However, I want to process the entire dataset and filter some documents from it. With the current chunk size of around 1000 documents (right?) I hit a performance bottleneck because of the ... | 99 | Adjusting chunk size for streaming datasets
**Is your feature request related to a problem? Please describe.**
I want to use mc4 which I cannot save locally, so I stream it. However, I want to process the entire dataset and filter some documents from it. With the current chunk size of around 1000 documents (right?) I ... |
https://github.com/huggingface/datasets/issues/7841 | DOC: `mode` parameter on pdf and video features unused | They seem to be artefacts from a copy-paste of the Image feature ^^' we should remove them | Following up on https://github.com/huggingface/datasets/pull/7840 I asked claude code to check for undocumented parameters for other features and it found:
- mode parameter on video is documented but unused: https://github.com/huggingface/datasets/blob/main/src/datasets/features/video.py#L48-L49
- the same goes for the... | 17 | DOC: `mode` parameter on pdf and video features unused
Following up on https://github.com/huggingface/datasets/pull/7840 I asked claude code to check for undocumented parameters for other features and it found:
- mode parameter on video is documented but unused: https://github.com/huggingface/datasets/blob/main/src/dat... |
https://github.com/huggingface/datasets/issues/3637 | [TypeError: Couldn't cast array of type] Cannot load dataset in v1.18 | Hi @lewtun!
This one was tricky to debug. Initially, I tought there is a bug in the recently-added (by @lhoestq ) `cast_array_to_feature` function because `git bisect` points to the https://github.com/huggingface/datasets/commit/6ca96c707502e0689f9b58d94f46d871fa5a3c9c commit. Then, I noticed that the feature tpye ... | ## Describe the bug
I am trying to load the [`GEM/RiSAWOZ` dataset](https://huggingface.co/datasets/GEM/RiSAWOZ) in `datasets` v1.18.1 and am running into a type error when casting the features. The strange thing is that I can load the dataset with v1.17.0. Note that the error is also present if I install from `master... | 197 | [TypeError: Couldn't cast array of type] Cannot load dataset in v1.18
## Describe the bug
I am trying to load the [`GEM/RiSAWOZ` dataset](https://huggingface.co/datasets/GEM/RiSAWOZ) in `datasets` v1.18.1 and am running into a type error when casting the features. The strange thing is that I can load the dataset with ... |
https://github.com/huggingface/datasets/issues/3637 | [TypeError: Couldn't cast array of type] Cannot load dataset in v1.18 | Hey @mariosasko, thank you so much for figuring this one out - it certainly looks like a tricky bug 😱 ! I don't think there's a specific reason to use `list` instead of `Sequence` with the script, but I'll let the dataset creators know to see if your suggestion is acceptable.
Thank you again! | ## Describe the bug
I am trying to load the [`GEM/RiSAWOZ` dataset](https://huggingface.co/datasets/GEM/RiSAWOZ) in `datasets` v1.18.1 and am running into a type error when casting the features. The strange thing is that I can load the dataset with v1.17.0. Note that the error is also present if I install from `master... | 54 | [TypeError: Couldn't cast array of type] Cannot load dataset in v1.18
## Describe the bug
I am trying to load the [`GEM/RiSAWOZ` dataset](https://huggingface.co/datasets/GEM/RiSAWOZ) in `datasets` v1.18.1 and am running into a type error when casting the features. The strange thing is that I can load the dataset with ... |
https://github.com/huggingface/datasets/issues/3637 | [TypeError: Couldn't cast array of type] Cannot load dataset in v1.18 | Thanks, this was indeed the fix! Would it make sense to produce a more informative error message in such cases?
The issue can be closed.
| ## Describe the bug
I am trying to load the [`GEM/RiSAWOZ` dataset](https://huggingface.co/datasets/GEM/RiSAWOZ) in `datasets` v1.18.1 and am running into a type error when casting the features. The strange thing is that I can load the dataset with v1.17.0. Note that the error is also present if I install from `master... | 25 | [TypeError: Couldn't cast array of type] Cannot load dataset in v1.18
## Describe the bug
I am trying to load the [`GEM/RiSAWOZ` dataset](https://huggingface.co/datasets/GEM/RiSAWOZ) in `datasets` v1.18.1 and am running into a type error when casting the features. The strange thing is that I can load the dataset with ... |
https://github.com/huggingface/datasets/issues/5225 | Add video feature | @NielsRogge @rwightman may have additional requirements regarding this feature.
When adding a new (decodable) type, the hardest part is choosing the right decoding library. What I mean by "right" here is that it has all the features we need and is easy to install (with GPU support?).
Some candidates/options:
* [... | ### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large files
2. Often times ... | 141 | Add video feature
### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large file... |
https://github.com/huggingface/datasets/issues/5225 | Add video feature | @mariosasko is GPU decoding a hard requirement here? Do we really need it? (I don't know)
Something to consider with `decord` is that it doesn't (AFAIK) support writing videos, so you'd still need something else for that. also I've noticed [issues](https://github.com/dmlc/decord/issues/242) with decord's ability to ... | ### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large files
2. Often times ... | 100 | Add video feature
### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large file... |
https://github.com/huggingface/datasets/issues/5225 | Add video feature | Video is still a bit of a mess, but I'd say pyAV is likely the best approach (or supporting all three via pytorchvideo, but that adds a middle man dependency).
Being able to decode on the GPU, into memory that could be passed off to a Tensor in whatever framework is being used would be the dream, I don't think there... | ### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large files
2. Often times ... | 179 | Add video feature
### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large file... |
https://github.com/huggingface/datasets/issues/5225 | Add video feature | For standalone usage, decoding on GPU could be ideal but isn't async processing of inputs on CPUs while letting the accelerator busy for training the de-facto? Of course, I am aware of other advanced mechanisms such as CPU offloading, but I think my point is conveyed. | ### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large files
2. Often times ... | 46 | Add video feature
### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large file... |
https://github.com/huggingface/datasets/issues/5225 | Add video feature | Here's a minimal implementation of the helper functions we'd need from PyAV, a lot of which I borrowed from `pytorchvideo`, stripping out the `torch` specific stuff:
[](https://colab.research.google.com/gist/nateraw/c327cb6ff6b074e6ddc8068d19c... | ### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large files
2. Often times ... | 47 | Add video feature
### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large file... |
https://github.com/huggingface/datasets/issues/5225 | Add video feature | Also wanted to note I added a PR for video classification in `transformers` here, which uses `decord`. It's still open...should we make a decision now to align the libraries we are using between `datasets` and `transformers`? (CC @Narsil )
https://github.com/huggingface/transformers/pull/20151 | ### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large files
2. Often times ... | 40 | Add video feature
### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large file... |
https://github.com/huggingface/datasets/issues/5225 | Add video feature | Fully agree on at least trying to unite things.
Making clear function boundaries to help us change dependency if needed seems like a good idea since there doesn't seem to be a clear winner.
I also happen to like directly calling ffmpeg. For some reason it was a lot faster than pyav. | ### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large files
2. Often times ... | 52 | Add video feature
### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large file... |
https://github.com/huggingface/datasets/issues/7388 | OSError: [Errno 22] Invalid argument forbidden character | You can probably copy the dataset in your HF account and rename the files (without having to download them to your disk). Or alternatively feel free to open a Pull Request to this dataset with the renamed file | ### Describe the bug
I'm on Windows and i'm trying to load a datasets but i'm having title error because files in the repository are named with charactere like < >which can't be in a name file. Could it be possible to load this datasets but removing those charactere ?
### Steps to reproduce the bug
load_dataset("CAT... | 38 | OSError: [Errno 22] Invalid argument forbidden character
### Describe the bug
I'm on Windows and i'm trying to load a datasets but i'm having title error because files in the repository are named with charactere like < >which can't be in a name file. Could it be possible to load this datasets but removing those charac... |
https://github.com/huggingface/datasets/issues/6146 | DatasetGenerationError when load glue benchmark datasets from `load_dataset` | This issue can happen if there is a directory named "glue" relative to the Python script with the `load_dataset` call (similar issue to this one: https://github.com/huggingface/datasets/issues/5228). Is this the case? | ### Describe the bug
Package version: datasets-2.14.4
When I run the codes:
```
from datasets import load_dataset
dataset = load_dataset("glue", "ax")
```
I got the following errors:
---------------------------------------------------------------------------
SchemaInferenceError ... | 30 | DatasetGenerationError when load glue benchmark datasets from `load_dataset`
### Describe the bug
Package version: datasets-2.14.4
When I run the codes:
```
from datasets import load_dataset
dataset = load_dataset("glue", "ax")
```
I got the following errors:
-----------------------------------... |
https://github.com/huggingface/datasets/issues/6146 | DatasetGenerationError when load glue benchmark datasets from `load_dataset` | > This issue can happen if there is a directory named "glue" relative to the Python script with the `load_dataset` call (similar issue to this one: #5228). Is this the case?
Thats correct!
Sorry for my late response. | ### Describe the bug
Package version: datasets-2.14.4
When I run the codes:
```
from datasets import load_dataset
dataset = load_dataset("glue", "ax")
```
I got the following errors:
---------------------------------------------------------------------------
SchemaInferenceError ... | 38 | DatasetGenerationError when load glue benchmark datasets from `load_dataset`
### Describe the bug
Package version: datasets-2.14.4
When I run the codes:
```
from datasets import load_dataset
dataset = load_dataset("glue", "ax")
```
I got the following errors:
-----------------------------------... |
https://github.com/huggingface/datasets/issues/5760 | Multi-image loading in Imagefolder dataset | Supporting this could be useful (I remember a use-case for this on the Hub). Do you agree @polinaeterna?
Implementing this should be possible if we iterate over metadata files and build image/audio file paths instead of iterating over image/audio files and looking for the corresponding entries in metadata files. | ### Feature request
Extend the `imagefolder` dataloading script to support loading multiple images per dataset entry.
This only really makes sense if a metadata file is present.
Currently you can use the following format (example `metadata.jsonl`:
```
{'file_name': 'path_to_image.png', 'metadata': ...}
...
`... | 49 | Multi-image loading in Imagefolder dataset
### Feature request
Extend the `imagefolder` dataloading script to support loading multiple images per dataset entry.
This only really makes sense if a metadata file is present.
Currently you can use the following format (example `metadata.jsonl`:
```
{'file_name': 'p... |
https://github.com/huggingface/datasets/issues/5760 | Multi-image loading in Imagefolder dataset | I've build a similar feature from scratch and would be interested to combine it with the datasets package.
My solution works something like this:
Interpret the first element of each column as a file path. If the path exists and is a file, (try to) load the files for the entire column. Thereby, one isn't restricted ... | ### Feature request
Extend the `imagefolder` dataloading script to support loading multiple images per dataset entry.
This only really makes sense if a metadata file is present.
Currently you can use the following format (example `metadata.jsonl`:
```
{'file_name': 'path_to_image.png', 'metadata': ...}
...
`... | 97 | Multi-image loading in Imagefolder dataset
### Feature request
Extend the `imagefolder` dataloading script to support loading multiple images per dataset entry.
This only really makes sense if a metadata file is present.
Currently you can use the following format (example `metadata.jsonl`:
```
{'file_name': 'p... |
https://github.com/huggingface/datasets/issues/5760 | Multi-image loading in Imagefolder dataset | +1
Is the only way to do this right now to write a custom dataset loader script? | ### Feature request
Extend the `imagefolder` dataloading script to support loading multiple images per dataset entry.
This only really makes sense if a metadata file is present.
Currently you can use the following format (example `metadata.jsonl`:
```
{'file_name': 'path_to_image.png', 'metadata': ...}
...
`... | 17 | Multi-image loading in Imagefolder dataset
### Feature request
Extend the `imagefolder` dataloading script to support loading multiple images per dataset entry.
This only really makes sense if a metadata file is present.
Currently you can use the following format (example `metadata.jsonl`:
```
{'file_name': 'p... |
https://github.com/huggingface/datasets/issues/5760 | Multi-image loading in Imagefolder dataset | 👀 I encountered the same problem. Is the only way to solve it by writing a custom dataset loader script? | ### Feature request
Extend the `imagefolder` dataloading script to support loading multiple images per dataset entry.
This only really makes sense if a metadata file is present.
Currently you can use the following format (example `metadata.jsonl`:
```
{'file_name': 'path_to_image.png', 'metadata': ...}
...
`... | 20 | Multi-image loading in Imagefolder dataset
### Feature request
Extend the `imagefolder` dataloading script to support loading multiple images per dataset entry.
This only really makes sense if a metadata file is present.
Currently you can use the following format (example `metadata.jsonl`:
```
{'file_name': 'p... |
https://github.com/huggingface/datasets/issues/5760 | Multi-image loading in Imagefolder dataset | Yes I had to use script at the end
Sent from Outlook for iOS<https://aka.ms/o0ukef>
________________________________
From: Yunzhuo Hao ***@***.***>
Sent: Sunday, December 1, 2024 11:52:21 AM
To: huggingface/datasets ***@***.***>
Cc: Sushant Gautam ***@***.***>; Manual ***@***.***>
Subject: Re: [huggingface/dat... | ### Feature request
Extend the `imagefolder` dataloading script to support loading multiple images per dataset entry.
This only really makes sense if a metadata file is present.
Currently you can use the following format (example `metadata.jsonl`:
```
{'file_name': 'path_to_image.png', 'metadata': ...}
...
`... | 90 | Multi-image loading in Imagefolder dataset
### Feature request
Extend the `imagefolder` dataloading script to support loading multiple images per dataset entry.
This only really makes sense if a metadata file is present.
Currently you can use the following format (example `metadata.jsonl`:
```
{'file_name': 'p... |
https://github.com/huggingface/datasets/issues/5760 | Multi-image loading in Imagefolder dataset | @SushantGautam Thanks for your reply!! In addition, can the dataset shared by writing such a script be displayed in the Viewer? And if it is convenient, can you please show me your script? Thanks again!! | ### Feature request
Extend the `imagefolder` dataloading script to support loading multiple images per dataset entry.
This only really makes sense if a metadata file is present.
Currently you can use the following format (example `metadata.jsonl`:
```
{'file_name': 'path_to_image.png', 'metadata': ...}
...
`... | 35 | Multi-image loading in Imagefolder dataset
### Feature request
Extend the `imagefolder` dataloading script to support loading multiple images per dataset entry.
This only really makes sense if a metadata file is present.
Currently you can use the following format (example `metadata.jsonl`:
```
{'file_name': 'p... |
https://github.com/huggingface/datasets/issues/5760 | Multi-image loading in Imagefolder dataset | Yes will be visible!
The script docs is at
https://huggingface.co/docs/datasets/en/dataset_script
Sincerely,
*Sushant Gautam*
📧: ***@***.*** | ***@***.***
🌐: sushant.info.np | simula.no/people/sushant
<https://www.simula.no/people/sushant>
[image: Simula Metropolitan Center for Digital Engineering]
<... | ### Feature request
Extend the `imagefolder` dataloading script to support loading multiple images per dataset entry.
This only really makes sense if a metadata file is present.
Currently you can use the following format (example `metadata.jsonl`:
```
{'file_name': 'path_to_image.png', 'metadata': ...}
...
`... | 132 | Multi-image loading in Imagefolder dataset
### Feature request
Extend the `imagefolder` dataloading script to support loading multiple images per dataset entry.
This only really makes sense if a metadata file is present.
Currently you can use the following format (example `metadata.jsonl`:
```
{'file_name': 'p... |
https://github.com/huggingface/datasets/issues/5760 | Multi-image loading in Imagefolder dataset | I see. Thank you very very much!!!
Sushant Gautam ***@***.***>于2024年12月1日 周日18:54写道：
> Yes I had to use script at the end
>
> Sent from Outlook for iOS<https://aka.ms/o0ukef>
> ________________________________
> From: Yunzhuo Hao ***@***.***>
> Sent: Sunday, December 1, 2024 11:52:21 AM
> To: huggingface/da... | ### Feature request
Extend the `imagefolder` dataloading script to support loading multiple images per dataset entry.
This only really makes sense if a metadata file is present.
Currently you can use the following format (example `metadata.jsonl`:
```
{'file_name': 'path_to_image.png', 'metadata': ...}
...
`... | 160 | Multi-image loading in Imagefolder dataset
### Feature request
Extend the `imagefolder` dataloading script to support loading multiple images per dataset entry.
This only really makes sense if a metadata file is present.
Currently you can use the following format (example `metadata.jsonl`:
```
{'file_name': 'p... |
https://github.com/huggingface/datasets/issues/6078 | resume_download with streaming=True | Currently, it's not possible to efficiently resume streaming after an error. Eventually, we plan to support this for Parquet (see https://github.com/huggingface/datasets/issues/5380). | ### Describe the bug
I used:
```
dataset = load_dataset(
"oscar-corpus/OSCAR-2201",
token=True,
language="fr",
streaming=True,
split="train"
)
```
Unfortunately, the server had a problem during the training process. I saved the step my training stopped at.
But how can I resume download f... | 21 | resume_download with streaming=True
### Describe the bug
I used:
```
dataset = load_dataset(
"oscar-corpus/OSCAR-2201",
token=True,
language="fr",
streaming=True,
split="train"
)
```
Unfortunately, the server had a problem during the training process. I saved the step my training stopped ... |
https://github.com/huggingface/datasets/issues/5190 | `path` is `None` when downloading a custom audio dataset from the Hub | Hi! Yes, this is expected behavior - we do this as a security measure to not leak local paths (this info would be useless on other users' machines anyways) and only push audio bytes.
| ### Describe the bug
I've created an [audio dataset](https://huggingface.co/datasets/lewtun/audio-test-push) using the `audiofolder` feature desribed in the [docs](https://huggingface.co/docs/datasets/audio_dataset#audiofolder) and then pushed it to the Hub.
Locally, I can see the `audio.path` feature is of the ... | 34 | `path` is `None` when downloading a custom audio dataset from the Hub
### Describe the bug
I've created an [audio dataset](https://huggingface.co/datasets/lewtun/audio-test-push) using the `audiofolder` feature desribed in the [docs](https://huggingface.co/docs/datasets/audio_dataset#audiofolder) and then pushed it ... |
https://github.com/huggingface/datasets/issues/7222 | TypeError: Couldn't cast array of type string to null in long json | I am encountering this same issue. It seems that the library manages to recognise an optional column (but not **exclusively** null) if there is at least one non-null instance within the same file. For example, given a `test_0.jsonl` file:
```json
{"a": "a1", "b": "b1", "c": null, "d": null}
{"a": "a2", "b": null, "c... | ### Describe the bug
In general, changing the type from string to null is allowed within a dataset — there are even examples of this in the documentation.
However, if the dataset is large and unevenly distributed, this allowance stops working. The schema gets locked in after reading a chunk.
Consequently, if al... | 252 | TypeError: Couldn't cast array of type string to null in long json
### Describe the bug
In general, changing the type from string to null is allowed within a dataset — there are even examples of this in the documentation.
However, if the dataset is large and unevenly distributed, this allowance stops working. The s... |
https://github.com/huggingface/datasets/issues/7222 | TypeError: Couldn't cast array of type string to null in long json | Managed to find a workaround, by [specifying the features explicitly](https://huggingface.co/docs/datasets/main/en/loading#specify-features), which is also possible to do directly using the [YAML file configuration](https://discuss.huggingface.co/t/appropriate-yaml-for-dataset-info-list-float/74418). | ### Describe the bug
In general, changing the type from string to null is allowed within a dataset — there are even examples of this in the documentation.
However, if the dataset is large and unevenly distributed, this allowance stops working. The schema gets locked in after reading a chunk.
Consequently, if al... | 22 | TypeError: Couldn't cast array of type string to null in long json
### Describe the bug
In general, changing the type from string to null is allowed within a dataset — there are even examples of this in the documentation.
However, if the dataset is large and unevenly distributed, this allowance stops working. The s... |
https://github.com/huggingface/datasets/issues/7222 | TypeError: Couldn't cast array of type string to null in long json | I hit the same issue for `datasets 3.2.0`. Given the two jsonl files with the same content but different ordering, `load_dataset` worked for one but did not work for the other.
```
from datasets import load_dataset
issues_dataset = load_dataset(
"json", data_files="NeMo-issues-fixed.jsonl", split="train"
)
issues... | ### Describe the bug
In general, changing the type from string to null is allowed within a dataset — there are even examples of this in the documentation.
However, if the dataset is large and unevenly distributed, this allowance stops working. The schema gets locked in after reading a chunk.
Consequently, if al... | 634 | TypeError: Couldn't cast array of type string to null in long json
### Describe the bug
In general, changing the type from string to null is allowed within a dataset — there are even examples of this in the documentation.
However, if the dataset is large and unevenly distributed, this allowance stops working. The s... |
https://github.com/huggingface/datasets/issues/5430 | Support Apache Beam >= 2.44.0 | Some of the shard files now have 0 number of rows.
We have opened an issue in the Apache Beam repo:
- https://github.com/apache/beam/issues/25041 | Once we find out the root cause of:
- #5426
we should revert the temporary pin on apache-beam introduced by:
- #5429 | 23 | Support Apache Beam >= 2.44.0
Once we find out the root cause of:
- #5426
we should revert the temporary pin on apache-beam introduced by:
- #5429
Some of the shard files now have 0 number of rows.
We have opened an issue in the Apache Beam repo:
- https://github.com/apache/beam/issues/25041 |
https://github.com/huggingface/datasets/issues/5706 | Support categorical data types for Parquet | Hi ! We could definitely a type that holds the categories and uses a DictionaryType storage. There's a ClassLabel type that is similar with a 'names' parameter (similar to a id2label in deep learning frameworks) that uses an integer array as storage.
It can be added in `features.py`. Here are some pointers:
- the c... | ### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is currently thrown when attempting to read a Parq... | 105 | Support categorical data types for Parquet
### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is curr... |
https://github.com/huggingface/datasets/issues/5706 | Support categorical data types for Parquet | Hey folks -- I'm thinking about trying a PR for this. As far as I can tell the only sticky point is that auto-generation of features from a pyarrow schema will fail under the current `generate_from_arrow_type` function because there is no encoding of the categorical string label -> int map in the pa.dictionary type its... | ### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is currently thrown when attempting to read a Parq... | 170 | Support categorical data types for Parquet
### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is curr... |
https://github.com/huggingface/datasets/issues/5706 | Support categorical data types for Parquet | Maybe we don't need to store the string label -> int map in the categorical for the corresponding `datasets` feature ? | ### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is currently thrown when attempting to read a Parq... | 21 | Support categorical data types for Parquet
### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is curr... |
https://github.com/huggingface/datasets/issues/5706 | Support categorical data types for Parquet | I think that does need to be stored in the Feature object. Similar to how
`ClassLabel` needs the class names for some of the provided default
functionality (e.g., encoding or decoding values) here, a categorical
feature needs the same. Without storing that information, would you suggest
that categorical features ju... | ### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is currently thrown when attempting to read a Parq... | 124 | Support categorical data types for Parquet
### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is curr... |
https://github.com/huggingface/datasets/issues/5706 | Support categorical data types for Parquet | Well IIRC you can concatenate two Arrow arrays with different dictionaries together. But for `datasets` would mean updating the `datasets` features when concatenating two arrays of the same type, which is not supported right now. That's why if there is a way to have it without storing the mapping in the feature object ... | ### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is currently thrown when attempting to read a Parq... | 168 | Support categorical data types for Parquet
### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is curr... |
https://github.com/huggingface/datasets/issues/5706 | Support categorical data types for Parquet | Hmm, that is a good point. What if we implemented this feature first in a
manner that didn't allow concatenation of arrays with different index to
category maps? Then concatenation would be very straightforward, and I
think this is reasonable if the index to category map is stored in the
schema as well. Obviously, ... | ### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is currently thrown when attempting to read a Parq... | 326 | Support categorical data types for Parquet
### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is curr... |
https://github.com/huggingface/datasets/issues/5706 | Support categorical data types for Parquet | @lhoestq @mariosasko just re-pinging on this so I can push forward further here. What are your thoughts on disallowing concatenation of categorical arrays for now such that the index to category map can be stored in the schema metadata? And/or other approaches that should be taken here?
| ### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is currently thrown when attempting to read a Parq... | 47 | Support categorical data types for Parquet
### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is curr... |
https://github.com/huggingface/datasets/issues/5706 | Support categorical data types for Parquet | I think the easiest for now would be to add a `dictionary_decode` argument to the parquet loaders that would convert the dictionary type back to strings when set to `True`, and make `dictionary_decode=False` raise `NotImplementedError` for now if there are dictionary type columns. Would that be ok as a first step ? | ### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is currently thrown when attempting to read a Parq... | 52 | Support categorical data types for Parquet
### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is curr... |
https://github.com/huggingface/datasets/issues/5706 | Support categorical data types for Parquet | I mean, that would certainly be easiest but I don't think it really solves this issue in a meaningful way. This just changes the burden from string conversion from the user to HF Datasets, but doesn't actually enable HF Datasets to take advantage of the (very significant) storage and associated speed/memory savings off... | ### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is currently thrown when attempting to read a Parq... | 128 | Support categorical data types for Parquet
### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is curr... |
https://github.com/huggingface/datasets/issues/5706 | Support categorical data types for Parquet | > This just changes the burden from string conversion from the user to HF Datasets, but doesn't actually enable HF Datasets to take advantage of the (very significant) storage and associated speed/memory savings offered by using categorical types.
There's already a ClassLabel type that does pretty much the same thin... | ### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is currently thrown when attempting to read a Parq... | 109 | Support categorical data types for Parquet
### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is curr... |
https://github.com/huggingface/datasets/issues/5706 | Support categorical data types for Parquet | But how often in the cases where concatenation is done now would the
categorical label vocabulary actually change? I think it would be in
basically none of them. And in such cases, concatenation remains very easy,
no?
On Fri, Sep 22, 2023, 12:02 PM Quentin Lhoest ***@***.***>
wrote:
> This just changes the bu... | ### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is currently thrown when attempting to read a Parq... | 203 | Support categorical data types for Parquet
### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is curr... |
https://github.com/huggingface/datasets/issues/5706 | Support categorical data types for Parquet | Arrow IPC seems to require unified dictionaries anyway so actually we could surely focus only on this use case indeed @mmcdermott
So defining a new Feature type in `datasets` that contains the dictionary mapping should be fine (and concatenation would work out of the box), and it should also take care of checking t... | ### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is currently thrown when attempting to read a Parq... | 93 | Support categorical data types for Parquet
### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is curr... |
https://github.com/huggingface/datasets/issues/5984 | AutoSharding IterableDataset's when num_workers > 1 | For this to be possible, we would have to switch from the "Streaming" Arrow format to the "Random Access" (IPC/Feather) format, which allows reading arbitrary record batches (explained [here](https://arrow.apache.org/docs/python/ipc.html)). We could then use these batches to construct shards.
@lhoestq @albertvillano... | ### Feature request
Minimal Example
```
import torch
from datasets import IterableDataset
d = IterableDataset.from_file(<file_name>)
dl = torch.utils.data.dataloader.DataLoader(d,num_workers=3)
for sample in dl:
print(sample)
```
Warning:
Too many dataloader workers: 2 (max is dataset.n_shard... | 86 | AutoSharding IterableDataset's when num_workers > 1
### Feature request
Minimal Example
```
import torch
from datasets import IterableDataset
d = IterableDataset.from_file(<file_name>)
dl = torch.utils.data.dataloader.DataLoader(d,num_workers=3)
for sample in dl:
print(sample)
```
Warning:
To... |
https://github.com/huggingface/datasets/issues/5984 | AutoSharding IterableDataset's when num_workers > 1 | Alternatively we could support multiprocessing map for iterable datasets and let the user do the CPU intensive task there ?
This way it would work on arrow data but also on any iterable dataset | ### Feature request
Minimal Example
```
import torch
from datasets import IterableDataset
d = IterableDataset.from_file(<file_name>)
dl = torch.utils.data.dataloader.DataLoader(d,num_workers=3)
for sample in dl:
print(sample)
```
Warning:
Too many dataloader workers: 2 (max is dataset.n_shard... | 34 | AutoSharding IterableDataset's when num_workers > 1
### Feature request
Minimal Example
```
import torch
from datasets import IterableDataset
d = IterableDataset.from_file(<file_name>)
dl = torch.utils.data.dataloader.DataLoader(d,num_workers=3)
for sample in dl:
print(sample)
```
Warning:
To... |
https://github.com/huggingface/datasets/issues/5984 | AutoSharding IterableDataset's when num_workers > 1 | > For this to be possible, we would have to switch from the "Streaming" Arrow format to the "Random Access" (IPC/Feather) format, which allows reading arbitrary record batches (explained [here](https://arrow.apache.org/docs/python/ipc.html)). We could then use these batches to construct shards.
>
> @lhoestq @albertv... | ### Feature request
Minimal Example
```
import torch
from datasets import IterableDataset
d = IterableDataset.from_file(<file_name>)
dl = torch.utils.data.dataloader.DataLoader(d,num_workers=3)
for sample in dl:
print(sample)
```
Warning:
Too many dataloader workers: 2 (max is dataset.n_shard... | 166 | AutoSharding IterableDataset's when num_workers > 1
### Feature request
Minimal Example
```
import torch
from datasets import IterableDataset
d = IterableDataset.from_file(<file_name>)
dl = torch.utils.data.dataloader.DataLoader(d,num_workers=3)
for sample in dl:
print(sample)
```
Warning:
To... |
https://github.com/huggingface/datasets/issues/5984 | AutoSharding IterableDataset's when num_workers > 1 | > Could you explain why you'd need to change the arrow format?
This way workers have random access to the location of the file where its dataset subset starts. Currently we're using the Arrow streaming format which doesn't include the metadata of the record batches offsets. This is needed here to efficiently split a... | ### Feature request
Minimal Example
```
import torch
from datasets import IterableDataset
d = IterableDataset.from_file(<file_name>)
dl = torch.utils.data.dataloader.DataLoader(d,num_workers=3)
for sample in dl:
print(sample)
```
Warning:
Too many dataloader workers: 2 (max is dataset.n_shard... | 60 | AutoSharding IterableDataset's when num_workers > 1
### Feature request
Minimal Example
```
import torch
from datasets import IterableDataset
d = IterableDataset.from_file(<file_name>)
dl = torch.utils.data.dataloader.DataLoader(d,num_workers=3)
for sample in dl:
print(sample)
```
Warning:
To... |
https://github.com/huggingface/datasets/issues/5984 | AutoSharding IterableDataset's when num_workers > 1 | > > Could you explain why you'd need to change the arrow format?
>
> This way workers have random access to the location of the file where its dataset subset starts. Currently we're using the Arrow streaming format which doesn't include the metadata of the record batches offsets. This is needed here to efficiently s... | ### Feature request
Minimal Example
```
import torch
from datasets import IterableDataset
d = IterableDataset.from_file(<file_name>)
dl = torch.utils.data.dataloader.DataLoader(d,num_workers=3)
for sample in dl:
print(sample)
```
Warning:
Too many dataloader workers: 2 (max is dataset.n_shard... | 158 | AutoSharding IterableDataset's when num_workers > 1
### Feature request
Minimal Example
```
import torch
from datasets import IterableDataset
d = IterableDataset.from_file(<file_name>)
dl = torch.utils.data.dataloader.DataLoader(d,num_workers=3)
for sample in dl:
print(sample)
```
Warning:
To... |
https://github.com/huggingface/datasets/issues/5984 | AutoSharding IterableDataset's when num_workers > 1 | > For instance, using pyArrow, you could use RecordBatchStreamReader to zero-copy iterate over records with read_next_batch and then only initiate the next step for records modulo worker shard.
That works indeed ! And what we meant is that you can make it even faster to instantiate. Indeed using RecordBatchStreamRea... | ### Feature request
Minimal Example
```
import torch
from datasets import IterableDataset
d = IterableDataset.from_file(<file_name>)
dl = torch.utils.data.dataloader.DataLoader(d,num_workers=3)
for sample in dl:
print(sample)
```
Warning:
Too many dataloader workers: 2 (max is dataset.n_shard... | 110 | AutoSharding IterableDataset's when num_workers > 1
### Feature request
Minimal Example
```
import torch
from datasets import IterableDataset
d = IterableDataset.from_file(<file_name>)
dl = torch.utils.data.dataloader.DataLoader(d,num_workers=3)
for sample in dl:
print(sample)
```
Warning:
To... |
https://github.com/huggingface/datasets/issues/7893 | push_to_hub OOM: _push_parquet_shards_to_hub accumulates all shard bytes in memory | `preupload_lfs_files` removes the parquet bytes in `shard_addition` since the default is `free_memory=True`: it doesn't accumulate in memory. Can you check this is indeed the case, i.e. that `shard_addition.path_or_fileobj` is indeed empty ? | ## Summary
Large dataset uploads crash or hang due to memory exhaustion. This appears to be the root cause of several long-standing issues.
### Related Issues
This is the root cause of:
- #5990 - Pushing a large dataset on the hub consistently hangs (46 comments, open since 2023)
- #7400 - 504 Gateway Timeout when u... | 32 | push_to_hub OOM: _push_parquet_shards_to_hub accumulates all shard bytes in memory
## Summary
Large dataset uploads crash or hang due to memory exhaustion. This appears to be the root cause of several long-standing issues.
### Related Issues
This is the root cause of:
- #5990 - Pushing a large dataset on the hub con... |
https://github.com/huggingface/datasets/issues/7893 | push_to_hub OOM: _push_parquet_shards_to_hub accumulates all shard bytes in memory | @lhoestq Thank you for pushing back on this and helping me understand the code better.
You're correct, `free_memory=True` does prevent memory accumulation. I went back and tested this properly: I ran standard `push_to_hub()` with 902 shards and it processed **625 shards (69%)** without any OOM issues before I stopped ... | ## Summary
Large dataset uploads crash or hang due to memory exhaustion. This appears to be the root cause of several long-standing issues.
### Related Issues
This is the root cause of:
- #5990 - Pushing a large dataset on the hub consistently hangs (46 comments, open since 2023)
- #7400 - 504 Gateway Timeout when u... | 113 | push_to_hub OOM: _push_parquet_shards_to_hub accumulates all shard bytes in memory
## Summary
Large dataset uploads crash or hang due to memory exhaustion. This appears to be the root cause of several long-standing issues.
### Related Issues
This is the root cause of:
- #5990 - Pushing a large dataset on the hub con... |
https://github.com/huggingface/datasets/issues/7834 | Audio.cast_column() or Audio.decode_example() causes Colab kernel crash (std::bad_alloc) | Hi ! `datasets` v4 uses `torchcodec` for audio decoding (previous versions were using `soundfile`). What is your `torchcodec` version ? Can you try other versions of `torchcodec` and see if it works ? | ### Describe the bug
When using the huggingface datasets.Audio feature to decode a local or remote (public HF dataset) audio file inside Google Colab, the notebook kernel crashes with std::bad_alloc (C++ memory allocation failure).
The crash happens even with a minimal code example and valid .wav file that can be read... | 33 | Audio.cast_column() or Audio.decode_example() causes Colab kernel crash (std::bad_alloc)
### Describe the bug
When using the huggingface datasets.Audio feature to decode a local or remote (public HF dataset) audio file inside Google Colab, the notebook kernel crashes with std::bad_alloc (C++ memory allocation failure)... |
https://github.com/huggingface/datasets/issues/7834 | Audio.cast_column() or Audio.decode_example() causes Colab kernel crash (std::bad_alloc) | When I install `datasets` with `pip install datasets[audio]` it install this version of `torchcodec`:
```
Name: torchcodec
Version: 0.8.1
```
Can you please point to a working version of `torchcodec`?
Thanks for your help | ### Describe the bug
When using the huggingface datasets.Audio feature to decode a local or remote (public HF dataset) audio file inside Google Colab, the notebook kernel crashes with std::bad_alloc (C++ memory allocation failure).
The crash happens even with a minimal code example and valid .wav file that can be read... | 34 | Audio.cast_column() or Audio.decode_example() causes Colab kernel crash (std::bad_alloc)
### Describe the bug
When using the huggingface datasets.Audio feature to decode a local or remote (public HF dataset) audio file inside Google Colab, the notebook kernel crashes with std::bad_alloc (C++ memory allocation failure)... |
https://github.com/huggingface/datasets/issues/7834 | Audio.cast_column() or Audio.decode_example() causes Colab kernel crash (std::bad_alloc) | I believe you simply need to make sure the torchcodec and torch versions work together. Here is how to fix it:
```python
!pip install -U torchcodec torch
``` | ### Describe the bug
When using the huggingface datasets.Audio feature to decode a local or remote (public HF dataset) audio file inside Google Colab, the notebook kernel crashes with std::bad_alloc (C++ memory allocation failure).
The crash happens even with a minimal code example and valid .wav file that can be read... | 28 | Audio.cast_column() or Audio.decode_example() causes Colab kernel crash (std::bad_alloc)
### Describe the bug
When using the huggingface datasets.Audio feature to decode a local or remote (public HF dataset) audio file inside Google Colab, the notebook kernel crashes with std::bad_alloc (C++ memory allocation failure)... |
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