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https://github.com/huggingface/datasets/issues/7141 | Older datasets throwing safety errors with 2.21.0 | Not a good idea, but commenting out the whole security block at `/usr/local/lib/python3.10/dist-packages/huggingface_hub/hf_api.py` is a temporary workaround:
```
#security = kwargs.pop("security", None)
#if security is not None:
# security = BlobSecurityInfo(
# safe=sec... | ### Describe the bug
The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en", split="train")
val_data = datasets.load_dataset(... | 41 | Older datasets throwing safety errors with 2.21.0
### Describe the bug
The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en",... |
https://github.com/huggingface/datasets/issues/7141 | Older datasets throwing safety errors with 2.21.0 | Uploading a dataset to Huggingface also results in the following error in the Dataset Preview:
```
The full dataset viewer is not available (click to read why). Only showing a preview of the rows.
'safe'
Error code: UnexpectedError
Need help to make the dataset viewer work? Make sure to review [how to configure... | ### Describe the bug
The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en", split="train")
val_data = datasets.load_dataset(... | 79 | Older datasets throwing safety errors with 2.21.0
### Describe the bug
The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en",... |
https://github.com/huggingface/datasets/issues/7141 | Older datasets throwing safety errors with 2.21.0 | Same issue here. Even reverting to older version of `datasets` (e.g., `2.19.0`) results in same error:
```python
>>> datasets.load_dataset('allenai/ai2_arc', 'ARC-Easy')
File "/Users/lucas/miniforge3/envs/oe-eval-internal/lib/python3.10/site-packages/huggingface_hub/hf_api.py", line 3048, in <listcomp>
Repo... | ### Describe the bug
The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en", split="train")
val_data = datasets.load_dataset(... | 45 | Older datasets throwing safety errors with 2.21.0
### Describe the bug
The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en",... |
https://github.com/huggingface/datasets/issues/7141 | Older datasets throwing safety errors with 2.21.0 | i just had this issue a few minutes ago, crawled the internet and found nothing. came here to open an issue and found this. it is really frustrating. anyone found a fix? | ### Describe the bug
The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en", split="train")
val_data = datasets.load_dataset(... | 32 | Older datasets throwing safety errors with 2.21.0
### Describe the bug
The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en",... |
https://github.com/huggingface/datasets/issues/7141 | Older datasets throwing safety errors with 2.21.0 | Yeah, this just suddenly appeared without client-side code changes, within the last hours.
Here's a patch to fix the issue temporarily:
```python
import huggingface_hub
def patched_repofolder_init(self, **kwargs):
self.path = kwargs.pop("path")
self.tree_id = kwargs.pop("oid")
last_commit = kwargs.... | ### Describe the bug
The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en", split="train")
val_data = datasets.load_dataset(... | 125 | Older datasets throwing safety errors with 2.21.0
### Describe the bug
The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en",... |
https://github.com/huggingface/datasets/issues/7141 | Older datasets throwing safety errors with 2.21.0 | i'm thinking this should be a server issue, i mean no client code was changed on my end. so weird! | ### Describe the bug
The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en", split="train")
val_data = datasets.load_dataset(... | 20 | Older datasets throwing safety errors with 2.21.0
### Describe the bug
The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en",... |
https://github.com/huggingface/datasets/issues/7141 | Older datasets throwing safety errors with 2.21.0 | As far as I can tell, this seems to be happening with **all** datasets that use RepoFolder (probably represents most datasets on huggingface, right?) | ### Describe the bug
The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en", split="train")
val_data = datasets.load_dataset(... | 24 | Older datasets throwing safety errors with 2.21.0
### Describe the bug
The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en",... |
https://github.com/huggingface/datasets/issues/7141 | Older datasets throwing safety errors with 2.21.0 | In case you are using Colab or similar, remember to restart your session after modyfing the hf_api.py file | ### Describe the bug
The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en", split="train")
val_data = datasets.load_dataset(... | 18 | Older datasets throwing safety errors with 2.21.0
### Describe the bug
The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en",... |
https://github.com/huggingface/datasets/issues/7141 | Older datasets throwing safety errors with 2.21.0 | No need to modify the file directly, just monkey-patch.
I'm now more sure that the error appears because the backend expects the api code to look like it does on `main`. If `RepoFile` and `RepoFolder` look about like they look on main, they work again.
If not fixed like above, a secondary error that will appear i... | ### Describe the bug
The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en", split="train")
val_data = datasets.load_dataset(... | 75 | Older datasets throwing safety errors with 2.21.0
### Describe the bug
The dataset loading was throwing some safety errors for this popular dataset `wmt14`.
[in]:
```
import datasets
# train_data = datasets.load_dataset("wmt14", "de-en", split="train")
train_data = datasets.load_dataset("wmt14", "de-en",... |
https://github.com/huggingface/datasets/issues/6179 | Map cache with tokenizer | https://github.com/huggingface/datasets/issues/5147 may be a solution, by passing in the tokenizer in a fn_kwargs and ignoring it in the fingerprint calculations | Similar issue to https://github.com/huggingface/datasets/issues/5985, but across different sessions rather than two calls in the same session.
Unlike that issue, explicitly calling tokenizer(my_args) before the map() doesn't help, because the tokenizer was created with a different hash to begin with...
setup
```... | 20 | Map cache with tokenizer
Similar issue to https://github.com/huggingface/datasets/issues/5985, but across different sessions rather than two calls in the same session.
Unlike that issue, explicitly calling tokenizer(my_args) before the map() doesn't help, because the tokenizer was created with a different hash to be... |
https://github.com/huggingface/datasets/issues/6179 | Map cache with tokenizer | I have a similar issue. I was using a Jupyter Notebook and every time I call the map function it performs tokenization from scratch again although the cache files of last run still exists.
I ran with 20 processes and now in the cache folder there are two groups of cached results of tokenized dataset:
```
.rw-r-... | Similar issue to https://github.com/huggingface/datasets/issues/5985, but across different sessions rather than two calls in the same session.
Unlike that issue, explicitly calling tokenizer(my_args) before the map() doesn't help, because the tokenizer was created with a different hash to begin with...
setup
```... | 457 | Map cache with tokenizer
Similar issue to https://github.com/huggingface/datasets/issues/5985, but across different sessions rather than two calls in the same session.
Unlike that issue, explicitly calling tokenizer(my_args) before the map() doesn't help, because the tokenizer was created with a different hash to be... |
https://github.com/huggingface/datasets/issues/6179 | Map cache with tokenizer | @Luosuu [map](https://huggingface.co/docs/datasets/v2.14.4/en/package_reference/main_classes#datasets.Dataset.map) has cache_file_name parameter
In my case, I do want the cache to detect when the map function changes, so I can't pass a constant cache file name. | Similar issue to https://github.com/huggingface/datasets/issues/5985, but across different sessions rather than two calls in the same session.
Unlike that issue, explicitly calling tokenizer(my_args) before the map() doesn't help, because the tokenizer was created with a different hash to begin with...
setup
```... | 29 | Map cache with tokenizer
Similar issue to https://github.com/huggingface/datasets/issues/5985, but across different sessions rather than two calls in the same session.
Unlike that issue, explicitly calling tokenizer(my_args) before the map() doesn't help, because the tokenizer was created with a different hash to be... |
https://github.com/huggingface/datasets/issues/6179 | Map cache with tokenizer | Implementing a proper hashing function for the (fast) tokenizers is currently impossible for the reasons mentioned in the referenced issues. So the only alternative to the `cache_file_name` (or `new_fingerprint`) parameter is a custom serializer (e.g., that deserializes the tokenizer from a local save path) defined usi... | Similar issue to https://github.com/huggingface/datasets/issues/5985, but across different sessions rather than two calls in the same session.
Unlike that issue, explicitly calling tokenizer(my_args) before the map() doesn't help, because the tokenizer was created with a different hash to begin with...
setup
```... | 58 | Map cache with tokenizer
Similar issue to https://github.com/huggingface/datasets/issues/5985, but across different sessions rather than two calls in the same session.
Unlike that issue, explicitly calling tokenizer(my_args) before the map() doesn't help, because the tokenizer was created with a different hash to be... |
https://github.com/huggingface/datasets/issues/5109 | Map caching not working for some class methods | The hash used for caching is computed by pickling recursively the function passed to `map`. Maybe some objects don't have the same hash across sessions. In particular you can check the hash of your model using
```python
from datasets.fingerprint import Hasher
obj = AutoModel.from_config(config=config, add_pooling_l... | ## Describe the bug
The cache loading is not working as expected for some class methods with a model stored in an attribute.
The new fingerprint for `_map_single` is not the same at each run. The hasher generate a different hash for the class method.
This comes from `dumps` function in `datasets.utils.py_utils` whic... | 71 | Map caching not working for some class methods
## Describe the bug
The cache loading is not working as expected for some class methods with a model stored in an attribute.
The new fingerprint for `_map_single` is not the same at each run. The hasher generate a different hash for the class method.
This comes from `du... |
https://github.com/huggingface/datasets/issues/5109 | Map caching not working for some class methods | Indeed, the hash is changing. The `dumps` function serialize the model object in different ways because the model object is not deterministic
```python
from datasets.utils.py_utils import dumps
obj1 = AutoModel.from_config(config=config, add_pooling_layer=False)
obj2 = AutoModel.from_config(config=config, add_pooli... | ## Describe the bug
The cache loading is not working as expected for some class methods with a model stored in an attribute.
The new fingerprint for `_map_single` is not the same at each run. The hasher generate a different hash for the class method.
This comes from `dumps` function in `datasets.utils.py_utils` whic... | 89 | Map caching not working for some class methods
## Describe the bug
The cache loading is not working as expected for some class methods with a model stored in an attribute.
The new fingerprint for `_map_single` is not the same at each run. The hasher generate a different hash for the class method.
This comes from `du... |
https://github.com/huggingface/datasets/issues/5838 | Streaming support for `load_from_disk` | As the name says, `load_from_disk` load the data from your disk. If the data is hosted on S3, it is first downloaded locally and then loaded from your disk.
There is a discussion on streaming data from S3 here though: #5281 | ### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very large and being able to stream the data ... | 41 | Streaming support for `load_from_disk`
### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very l... |
https://github.com/huggingface/datasets/issues/5838 | Streaming support for `load_from_disk` | @lhoestq
Thanks for your comment. I have checked out the discussion before and attempted at replicating the mentioned changes in the main branch (#5580). What I found was that if a dataset is saved using `save_to_disk`, it cannot be read by `load_dataset`. The error message asks me to to use `load_from_disk` instead.... | ### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very large and being able to stream the data ... | 65 | Streaming support for `load_from_disk`
### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very l... |
https://github.com/huggingface/datasets/issues/5838 | Streaming support for `load_from_disk` | Using `push_to_hub` you can save the dataset on the HF Hub as parquet files, and reload it / stream it using `load_dataset` :)
If you want to save your dataset somewhere else you can use `.to_parquet` to get a parquet file. If your dataset is big it's usually recommended to shard it into multi parquet files (around ... | ### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very large and being able to stream the data ... | 59 | Streaming support for `load_from_disk`
### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very l... |
https://github.com/huggingface/datasets/issues/5838 | Streaming support for `load_from_disk` | @lhoestq
I tried the method you mentioned. This the current scenario I'm facing:
- The parquet file can be read from disk and streaming can be enabled.
- The parquet file can be read from `s3` (local MinIO).
- When `streaming=True` is enabled for `s3`, I get the error mentioned below:
```
File ~/.../lib/pytho... | ### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very large and being able to stream the data ... | 106 | Streaming support for `load_from_disk`
### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very l... |
https://github.com/huggingface/datasets/issues/5838 | Streaming support for `load_from_disk` | Streaming from S3 is still experimental, there might be a few bugs unfortunately.
Can you share the full stack trace ? | ### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very large and being able to stream the data ... | 21 | Streaming support for `load_from_disk`
### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very l... |
https://github.com/huggingface/datasets/issues/5838 | Streaming support for `load_from_disk` | @lhoestq
Sure, here you go:
```python
TypeError Traceback (most recent call last)
Cell In[8], line 1
----> 1 dataset = load_dataset("parquet", data_files=["s3://<bucket name>/<data folder>/data-parquet"], storage_options=fs.storage_options, streaming=True)
File ~/.../datasets/... | ### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very large and being able to stream the data ... | 1,037 | Streaming support for `load_from_disk`
### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very l... |
https://github.com/huggingface/datasets/issues/5838 | Streaming support for `load_from_disk` | Is `"data-parquet"` a file ? In `data_files` you should pass the paths to the parquet files (not to a directory). Glob patterns are not supported yet for S3 URLs.
The bug seems to happen because your provided data file has no extension. Because of that it tries to infer it from the file content, but fails because `_... | ### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very large and being able to stream the data ... | 63 | Streaming support for `load_from_disk`
### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very l... |
https://github.com/huggingface/datasets/issues/5838 | Streaming support for `load_from_disk` | @lhoestq
Thank you for your answer. Saving the file with `.parquet` extension solved the issue! This is really great! Really appreciate all the help!
Let me know if I should close the issue or feel free to close it if you want. | ### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very large and being able to stream the data ... | 42 | Streaming support for `load_from_disk`
### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very l... |
https://github.com/huggingface/datasets/issues/5838 | Streaming support for `load_from_disk` | Cool ! I'm glad it worked out :)
Sure feel free to close the issue, since the original question about streaming with load_from_disk has been answered anyway | ### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very large and being able to stream the data ... | 27 | Streaming support for `load_from_disk`
### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very l... |
https://github.com/huggingface/datasets/issues/5838 | Streaming support for `load_from_disk` | > As the name says, `load_from_disk` load the data from your disk. If the data is hosted on S3, it is first downloaded locally and then loaded from your disk.
>
> There is a discussion on streaming data from S3 here though: #5281
Hi @lhoestq,
Thanks for your answer here! I would like to know if it is possible ... | ### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very large and being able to stream the data ... | 85 | Streaming support for `load_from_disk`
### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very l... |
https://github.com/huggingface/datasets/issues/5838 | Streaming support for `load_from_disk` | Hi ! Have you considered hosting your dataset on HF instead ? This way you can use `load_dataset` with `streaming=True` (which is not available in load_from_disk which is for memory mapping Arrow files on disk) | ### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very large and being able to stream the data ... | 35 | Streaming support for `load_from_disk`
### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very l... |
https://github.com/huggingface/datasets/issues/5474 | Column project operation on `datasets.Dataset` | Hi ! This would be a nice addition indeed :) This sounds like a duplicate of https://github.com/huggingface/datasets/issues/5468
> Not sure. Some of my PRs are still open and some do not have any discussions.
Sorry to hear that, feel free to ping me on those PRs | ### Feature request
There is no operation to select a subset of columns of original dataset. Expected API follows.
```python
a = Dataset.from_dict({
'int': [0, 1, 2]
'char': ['a', 'b', 'c'],
'none': [None] * 3,
})
b = a.project('int', 'char') # usually, .select()
print(a.column_names) # std... | 46 | Column project operation on `datasets.Dataset`
### Feature request
There is no operation to select a subset of columns of original dataset. Expected API follows.
```python
a = Dataset.from_dict({
'int': [0, 1, 2]
'char': ['a', 'b', 'c'],
'none': [None] * 3,
})
b = a.project('int', 'char') # usu... |
https://github.com/huggingface/datasets/issues/6176 | how to limit the size of memory mapped file? | Hi! Can you share the error this reproducer throws in your environment? `streaming=True` streams the dataset as it's iterated over without creating a memory-map file. | ### Describe the bug
Huggingface datasets use memory-mapped file to map large datasets in memory for fast access.
However, it seems like huggingface will occupy all the memory for memory-mapped files, which makes a troublesome situation since we cluster will distribute a small portion of memory to me (once it's over ... | 25 | how to limit the size of memory mapped file?
### Describe the bug
Huggingface datasets use memory-mapped file to map large datasets in memory for fast access.
However, it seems like huggingface will occupy all the memory for memory-mapped files, which makes a troublesome situation since we cluster will distribute a s... |
https://github.com/huggingface/datasets/issues/6176 | how to limit the size of memory mapped file? | The trace of the error. Streaming works but is slower.
```
Root Cause (first observed failure):
[0]:
time : 2023-08-24_06:06:01
host : compute-126.cm.cluster
rank : 0 (local_rank: 0)
exitcode : 1 (pid: 48442)
error_file: /tmp/torchelastic_4fqzcuuz/none_rx2470jl/attempt_0/0/error.json
... | ### Describe the bug
Huggingface datasets use memory-mapped file to map large datasets in memory for fast access.
However, it seems like huggingface will occupy all the memory for memory-mapped files, which makes a troublesome situation since we cluster will distribute a small portion of memory to me (once it's over ... | 229 | how to limit the size of memory mapped file?
### Describe the bug
Huggingface datasets use memory-mapped file to map large datasets in memory for fast access.
However, it seems like huggingface will occupy all the memory for memory-mapped files, which makes a troublesome situation since we cluster will distribute a s... |
https://github.com/huggingface/datasets/issues/6176 | how to limit the size of memory mapped file? | This issue has previously been reported here: https://github.com/huggingface/datasets/issues/5710. Reporting it in the Arrow repo makes more sense as they have control over memory mapping.
PS: this is the API to reduce the size of the generated Arrow file:
```python
from datasets import load_dataset
builder = loa... | ### Describe the bug
Huggingface datasets use memory-mapped file to map large datasets in memory for fast access.
However, it seems like huggingface will occupy all the memory for memory-mapped files, which makes a troublesome situation since we cluster will distribute a small portion of memory to me (once it's over ... | 64 | how to limit the size of memory mapped file?
### Describe the bug
Huggingface datasets use memory-mapped file to map large datasets in memory for fast access.
However, it seems like huggingface will occupy all the memory for memory-mapped files, which makes a troublesome situation since we cluster will distribute a s... |
https://github.com/huggingface/datasets/issues/6176 | how to limit the size of memory mapped file? | Thanks for the response. The problem seems not resolved. The memory I allocated to the environment is 64G and the following error still occurs
`Python 3.8.16 (default, Jun 12 2023, 18:09:05)
[GCC 11.2.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from data... | ### Describe the bug
Huggingface datasets use memory-mapped file to map large datasets in memory for fast access.
However, it seems like huggingface will occupy all the memory for memory-mapped files, which makes a troublesome situation since we cluster will distribute a small portion of memory to me (once it's over ... | 248 | how to limit the size of memory mapped file?
### Describe the bug
Huggingface datasets use memory-mapped file to map large datasets in memory for fast access.
However, it seems like huggingface will occupy all the memory for memory-mapped files, which makes a troublesome situation since we cluster will distribute a s... |
https://github.com/huggingface/datasets/issues/3292 | Not able to load 'wikipedia' dataset | Hi ! Indeed it looks like the code snippet on the Hugging face Hub doesn't show the second parameter
Thanks for reporting, I'm taking a look
| ## Describe the bug
I am following the instruction for loading the wikipedia dataset using datasets. However getting the below error.
## Steps to reproduce the bug
from datasets import load_dataset
dataset = load_dataset("wikipedia")
```
## Expected results
A clear and concise description of the expected res... | 27 | Not able to load 'wikipedia' dataset
## Describe the bug
I am following the instruction for loading the wikipedia dataset using datasets. However getting the below error.
## Steps to reproduce the bug
from datasets import load_dataset
dataset = load_dataset("wikipedia")
```
## Expected results
A clear and co... |
https://github.com/huggingface/datasets/issues/5782 | Support for various audio-loading backends instead of always relying on SoundFile | Hi!
You can use `set_transform`/`with_transform` to define a custom decoding for audio formats not supported by `soundfile`:
```python
audio_dataset_amr = Dataset.from_dict({"audio": ["audio_samples/audio.amr"]})
def decode_audio(batch):
batch["audio"] = [read_ffmpeg(audio_path) for audio_path in batch["a... | ### Feature request
Introduce an option to select from a variety of audio-loading backends rather than solely relying on the SoundFile library. For instance, if the ffmpeg library is installed, it can serve as a fallback loading option.
### Motivation
- The SoundFile library, used in [features/audio.py](https://gith... | 57 | Support for various audio-loading backends instead of always relying on SoundFile
### Feature request
Introduce an option to select from a variety of audio-loading backends rather than solely relying on the SoundFile library. For instance, if the ffmpeg library is installed, it can serve as a fallback loading option.
... |
https://github.com/huggingface/datasets/issues/5782 | Support for various audio-loading backends instead of always relying on SoundFile | Considering the number of times a custom decoding transform has been suggested as a solution, an example in the [docs](https://huggingface.co/docs/datasets/process#format-transform) would be nice.
cc @stevhliu | ### Feature request
Introduce an option to select from a variety of audio-loading backends rather than solely relying on the SoundFile library. For instance, if the ffmpeg library is installed, it can serve as a fallback loading option.
### Motivation
- The SoundFile library, used in [features/audio.py](https://gith... | 25 | Support for various audio-loading backends instead of always relying on SoundFile
### Feature request
Introduce an option to select from a variety of audio-loading backends rather than solely relying on the SoundFile library. For instance, if the ffmpeg library is installed, it can serve as a fallback loading option.
... |
https://github.com/huggingface/datasets/issues/6700 | remove_columns is not in-place but the doc shows it is in-place | @mariosasko Thanks!
Will the doc of `datasets` be updated?
I find some possible mistakes in doc about whether `remove_columns` is in-place.
1. [You can also remove a column using map() with remove_columns but the present method is in-place (doesn’t copy the data to a new dataset) and is thus faster.](https://hug... | ### Describe the bug
The doc of `datasets` v2.17.0/v2.17.1 shows that `remove_columns` is in-place. [link](https://huggingface.co/docs/datasets/v2.17.1/en/package_reference/main_classes#datasets.DatasetDict.remove_columns)
In the text classification example of transformers v4.38.1, the columns are not removed.
h... | 100 | remove_columns is not in-place but the doc shows it is in-place
### Describe the bug
The doc of `datasets` v2.17.0/v2.17.1 shows that `remove_columns` is in-place. [link](https://huggingface.co/docs/datasets/v2.17.1/en/package_reference/main_classes#datasets.DatasetDict.remove_columns)
In the text classification ... |
https://github.com/huggingface/datasets/issues/7117 | Audio dataset load everything in RAM and is very slow | Hi ! I think the issue comes from the fact that you return `row` entirely, and therefore the dataset has to re-encode the audio data in `row`.
Can you try this instead ?
```python
# map the dataset
def transcribe_audio(row):
audio = row["audio"] # get the audio but do nothing with it
return {"transcr... | Hello, I'm working with an audio dataset. I want to transcribe the audio that the dataset contain, and for that I use whisper. My issue is that the dataset load everything in the RAM when I map the dataset, obviously, when RAM usage is too high, the program crashes.
To fix this issue, I'm using writer_batch_size tha... | 91 | Audio dataset load everything in RAM and is very slow
Hello, I'm working with an audio dataset. I want to transcribe the audio that the dataset contain, and for that I use whisper. My issue is that the dataset load everything in the RAM when I map the dataset, obviously, when RAM usage is too high, the program crashes.... |
https://github.com/huggingface/datasets/issues/7117 | Audio dataset load everything in RAM and is very slow | No, that doesn't change anything, I manage to solve this problem by setting with_indices=True in the map function and directly retrieving the audio corresponding to the index.
```py
from datasets import load_dataset
import time
ds = load_dataset("WaveGenAI/audios2", split="train[:50]")
# map the dataset
def... | Hello, I'm working with an audio dataset. I want to transcribe the audio that the dataset contain, and for that I use whisper. My issue is that the dataset load everything in the RAM when I map the dataset, obviously, when RAM usage is too high, the program crashes.
To fix this issue, I'm using writer_batch_size tha... | 101 | Audio dataset load everything in RAM and is very slow
Hello, I'm working with an audio dataset. I want to transcribe the audio that the dataset contain, and for that I use whisper. My issue is that the dataset load everything in the RAM when I map the dataset, obviously, when RAM usage is too high, the program crashes.... |
https://github.com/huggingface/datasets/issues/7117 | Audio dataset load everything in RAM and is very slow | Hmm maybe accessing `row["audio"]` makes `map()` reencode what's inside `row["audio"]` in case there are in-place modifications | Hello, I'm working with an audio dataset. I want to transcribe the audio that the dataset contain, and for that I use whisper. My issue is that the dataset load everything in the RAM when I map the dataset, obviously, when RAM usage is too high, the program crashes.
To fix this issue, I'm using writer_batch_size tha... | 16 | Audio dataset load everything in RAM and is very slow
Hello, I'm working with an audio dataset. I want to transcribe the audio that the dataset contain, and for that I use whisper. My issue is that the dataset load everything in the RAM when I map the dataset, obviously, when RAM usage is too high, the program crashes.... |
https://github.com/huggingface/datasets/issues/5387 | Missing documentation page : improve-performance | Hi! Our documentation builder does not support links to sections, hence the bug. This is the link it should point to https://huggingface.co/docs/datasets/v2.8.0/en/cache#improve-performance. | ### Describe the bug
Trying to access https://huggingface.co/docs/datasets/v2.8.0/en/package_reference/cache#improve-performance, the page is missing.
The link is in here : https://huggingface.co/docs/datasets/v2.8.0/en/package_reference/loading_methods#datasets.load_dataset.keep_in_memory
### Steps to reproduce t... | 22 | Missing documentation page : improve-performance
### Describe the bug
Trying to access https://huggingface.co/docs/datasets/v2.8.0/en/package_reference/cache#improve-performance, the page is missing.
The link is in here : https://huggingface.co/docs/datasets/v2.8.0/en/package_reference/loading_methods#datasets.load... |
https://github.com/huggingface/datasets/issues/6186 | Feature request: add code example of multi-GPU processing | That'd be a great idea! @mariosasko or @lhoestq, would it be possible to fix the code snippet or do you have another suggested way for doing this? | ### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this saying "your big GPU call goes here", however it didn't work f... | 27 | Feature request: add code example of multi-GPU processing
### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this sayi... |
https://github.com/huggingface/datasets/issues/6186 | Feature request: add code example of multi-GPU processing | Indeed `if __name__ == "__main__"` is important in this case.
Not sure about the imbalanced GPU usage though, but maybe you can try using the `torch.cuda.device` context manager ?
> also, should I do it like this or use nn.DataParallel?
In this case you wouldn't need a multiprocessed map no ? Since nn.DataPara... | ### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this saying "your big GPU call goes here", however it didn't work f... | 58 | Feature request: add code example of multi-GPU processing
### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this sayi... |
https://github.com/huggingface/datasets/issues/6186 | Feature request: add code example of multi-GPU processing | I think the issue is that we set `CUDA_VISIBLE_DEVICES` after pytorch is imported ?
We should use `torch.cuda.set_device(...)` instead | ### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this saying "your big GPU call goes here", however it didn't work f... | 19 | Feature request: add code example of multi-GPU processing
### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this sayi... |
https://github.com/huggingface/datasets/issues/6186 | Feature request: add code example of multi-GPU processing | @lhoestq
> In this case you wouldn't need a multiprocessed map no ?
Yes. But how to load a model to 2 GPU simultaneously without something like accelerate? | ### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this saying "your big GPU call goes here", however it didn't work f... | 28 | Feature request: add code example of multi-GPU processing
### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this sayi... |
https://github.com/huggingface/datasets/issues/6186 | Feature request: add code example of multi-GPU processing | > @lhoestq
>
> > In this case you wouldn't need a multiprocessed map no ?
>
> Yes. But how to load a model to 2 GPU simultaneously without something like accelerate?
Take a look at this fix #6550 . Basically, you move the model to each GPU inside of the function to be mapped.
| ### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this saying "your big GPU call goes here", however it didn't work f... | 56 | Feature request: add code example of multi-GPU processing
### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this sayi... |
https://github.com/huggingface/datasets/issues/6186 | Feature request: add code example of multi-GPU processing | In case someone also runs into this issue, I wrote a [blog post](https://forrestbao.github.io/2024/01/30/datasets_map_with_rank_multiple_GPUs.html) with a complete working example by compiling information from several PRs and issues here. Hope it can help. This issue cost me a few hours. I hope my blog post can save yo... | ### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this saying "your big GPU call goes here", however it didn't work f... | 53 | Feature request: add code example of multi-GPU processing
### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this sayi... |
https://github.com/huggingface/datasets/issues/6186 | Feature request: add code example of multi-GPU processing | hey @forrestbao , i was too struggling with the same issue for weeks hence i checked out your blog. great work on the blog.
however i wanted to ask you could we scale up the process by reinitializing the same model on the same GPU multiple times for even more speedups ?
i mean to say given that on a multi GPU set... | ### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this saying "your big GPU call goes here", however it didn't work f... | 110 | Feature request: add code example of multi-GPU processing
### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this sayi... |
https://github.com/huggingface/datasets/issues/6186 | Feature request: add code example of multi-GPU processing | You can use one single instance on your GPU and increase the batch size until you fill the VRAM | ### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this saying "your big GPU call goes here", however it didn't work f... | 19 | Feature request: add code example of multi-GPU processing
### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this sayi... |
https://github.com/huggingface/datasets/issues/6186 | Feature request: add code example of multi-GPU processing | @lhoestq i tried that, but i noticed that after a certain number of batch_size, using a larger batch_size makes the overall process really slow than using a lower batch_size. | ### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this saying "your big GPU call goes here", however it didn't work f... | 29 | Feature request: add code example of multi-GPU processing
### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this sayi... |
https://github.com/huggingface/datasets/issues/6186 | Feature request: add code example of multi-GPU processing | Hi @lhoestq , could you help with my two questions:
1. You mentioned `if __name__ == "__main__"`, why is that? I tried with a toy dataset and didn't put this line, my two GPU usage looks balanced.
2. Is there any difference between
`from multiprocess import set_start_method` and `from multiprocessing import set_s... | ### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this saying "your big GPU call goes here", however it didn't work f... | 255 | Feature request: add code example of multi-GPU processing
### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this sayi... |
https://github.com/huggingface/datasets/issues/6186 | Feature request: add code example of multi-GPU processing | Hi !
> You mentioned if __name__ == "__main__", why is that? I tried with a toy dataset and didn't put this line, my two GPU usage looks balanced.
It's a good practice when doing multiprocessing in python. Depending on the multiprocessing method and your python version, python could re-run the code in your main.... | ### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this saying "your big GPU call goes here", however it didn't work f... | 150 | Feature request: add code example of multi-GPU processing
### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this sayi... |
https://github.com/huggingface/datasets/issues/6186 | Feature request: add code example of multi-GPU processing | Thanks @lhoestq for explanation. Is it okay we use `multiprocessing` for set_start_method given the above-mentioned issue for multiprocess? From my run with toy example, it's fine. Just want to check if you foresee any problems. | ### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this saying "your big GPU call goes here", however it didn't work f... | 35 | Feature request: add code example of multi-GPU processing
### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this sayi... |
https://github.com/huggingface/datasets/issues/6186 | Feature request: add code example of multi-GPU processing | I'm running the [code example of multi-GPU processing](https://huggingface.co/docs/datasets/en/process#multiprocessing) on a Linux 8x A100 instance. The entire python code run time is 30 seconds faster if I add one line to set torch number of threads immediately after the `import torch` statement. It loads faster to ... | ### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this saying "your big GPU call goes here", however it didn't work f... | 98 | Feature request: add code example of multi-GPU processing
### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this sayi... |
https://github.com/huggingface/datasets/issues/6186 | Feature request: add code example of multi-GPU processing | @lhoestq Thanks for the updated GPU multiprocessing documentation! When I tried to add `updated_dataset.save_to_disk()` after the map function with multiple GPUs, I get an error during saving:
```
Saving the dataset (0/20 shards): 0%| | 78000/84761821 [01:07<20:22:25, 1154.59 examples/s]Exception ignored in: <... | ### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this saying "your big GPU call goes here", however it didn't work f... | 68 | Feature request: add code example of multi-GPU processing
### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this sayi... |
https://github.com/huggingface/datasets/issues/6186 | Feature request: add code example of multi-GPU processing | Hmm first time I see this, and it's even more surprising given there is no generator in `_write_generator_to_queue`. Could you open a new issue ? | ### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this saying "your big GPU call goes here", however it didn't work f... | 25 | Feature request: add code example of multi-GPU processing
### Feature request
Would be great to add a code example of how to do multi-GPU processing with 🤗 Datasets in the documentation. cc @stevhliu
Currently the docs has a small [section](https://huggingface.co/docs/datasets/v2.3.2/en/process#map) on this sayi... |
https://github.com/huggingface/datasets/issues/3473 | Iterating over a vision dataset doesn't decode the images | As discussed, I remember I set `decoded=False` here to avoid decoding just by iterating over examples of dataset. We wanted to decode only if the "audio" field (for Audio feature) was accessed. | ## Describe the bug
If I load `mnist` and I iterate over the dataset, the images are not decoded, and the dictionary with the bytes is returned.
## Steps to reproduce the bug
```python
from datasets import load_dataset
import PIL
mnist = load_dataset("mnist", split="train")
first_image = mnist[0]["image"... | 32 | Iterating over a vision dataset doesn't decode the images
## Describe the bug
If I load `mnist` and I iterate over the dataset, the images are not decoded, and the dictionary with the bytes is returned.
## Steps to reproduce the bug
```python
from datasets import load_dataset
import PIL
mnist = load_dataset... |
https://github.com/huggingface/datasets/issues/3473 | Iterating over a vision dataset doesn't decode the images | > I set decoded=False here to avoid decoding just by iterating over examples of dataset. We wanted to decode only if the "audio" field (for Audio feature) was accessed
https://github.com/huggingface/datasets/pull/3430 will add more control to decoding, so I think it's OK to enable decoding in `__iter__` for now. Aft... | ## Describe the bug
If I load `mnist` and I iterate over the dataset, the images are not decoded, and the dictionary with the bytes is returned.
## Steps to reproduce the bug
```python
from datasets import load_dataset
import PIL
mnist = load_dataset("mnist", split="train")
first_image = mnist[0]["image"... | 61 | Iterating over a vision dataset doesn't decode the images
## Describe the bug
If I load `mnist` and I iterate over the dataset, the images are not decoded, and the dictionary with the bytes is returned.
## Steps to reproduce the bug
```python
from datasets import load_dataset
import PIL
mnist = load_dataset... |
https://github.com/huggingface/datasets/issues/3473 | Iterating over a vision dataset doesn't decode the images | @mariosasko I wonder why there is no issue in `Audio` feature with decoding disabled in `__iter__`, whereas there is in `Image` feature.
Enabling decoding in `__iter__` will make fail Audio regressions tests: https://github.com/huggingface/datasets/runs/4608657230?check_suite_focus=true
```
=======================... | ## Describe the bug
If I load `mnist` and I iterate over the dataset, the images are not decoded, and the dictionary with the bytes is returned.
## Steps to reproduce the bug
```python
from datasets import load_dataset
import PIL
mnist = load_dataset("mnist", split="train")
first_image = mnist[0]["image"... | 52 | Iterating over a vision dataset doesn't decode the images
## Describe the bug
If I load `mnist` and I iterate over the dataset, the images are not decoded, and the dictionary with the bytes is returned.
## Steps to reproduce the bug
```python
from datasets import load_dataset
import PIL
mnist = load_dataset... |
https://github.com/huggingface/datasets/issues/3473 | Iterating over a vision dataset doesn't decode the images | Please also note that the regression tests were implemented in accordance with the specifications:
- when doing a `map` (wich calls `__iter__`) of a function that doesn't access the audio field, the decoding should be disabled; this is why the decoding is disabled in `__iter__` (and only enabled in `__getitem__`). | ## Describe the bug
If I load `mnist` and I iterate over the dataset, the images are not decoded, and the dictionary with the bytes is returned.
## Steps to reproduce the bug
```python
from datasets import load_dataset
import PIL
mnist = load_dataset("mnist", split="train")
first_image = mnist[0]["image"... | 50 | Iterating over a vision dataset doesn't decode the images
## Describe the bug
If I load `mnist` and I iterate over the dataset, the images are not decoded, and the dictionary with the bytes is returned.
## Steps to reproduce the bug
```python
from datasets import load_dataset
import PIL
mnist = load_dataset... |
https://github.com/huggingface/datasets/issues/3473 | Iterating over a vision dataset doesn't decode the images | > I wonder why there is no issue in Audio feature with decoding disabled in __iter__, whereas there is in Image feature.
@albertvillanova Not sure if I understand this part. Currently, both the Image and the Audio feature don't decode data in `__iter__`, so their behavior is aligned there.
| ## Describe the bug
If I load `mnist` and I iterate over the dataset, the images are not decoded, and the dictionary with the bytes is returned.
## Steps to reproduce the bug
```python
from datasets import load_dataset
import PIL
mnist = load_dataset("mnist", split="train")
first_image = mnist[0]["image"... | 49 | Iterating over a vision dataset doesn't decode the images
## Describe the bug
If I load `mnist` and I iterate over the dataset, the images are not decoded, and the dictionary with the bytes is returned.
## Steps to reproduce the bug
```python
from datasets import load_dataset
import PIL
mnist = load_dataset... |
https://github.com/huggingface/datasets/issues/3473 | Iterating over a vision dataset doesn't decode the images | Therefore, this is not an issue, neither for Audio nor Image feature.
Could you please elaborate more on the expected use case? @lhoestq @NielsRogge
The expected use cases (in accordance with the specs: see #2324):
- decoding should be enabled when accessing a specific item (`__getitem__`)
- decoding should be... | ## Describe the bug
If I load `mnist` and I iterate over the dataset, the images are not decoded, and the dictionary with the bytes is returned.
## Steps to reproduce the bug
```python
from datasets import load_dataset
import PIL
mnist = load_dataset("mnist", split="train")
first_image = mnist[0]["image"... | 88 | Iterating over a vision dataset doesn't decode the images
## Describe the bug
If I load `mnist` and I iterate over the dataset, the images are not decoded, and the dictionary with the bytes is returned.
## Steps to reproduce the bug
```python
from datasets import load_dataset
import PIL
mnist = load_dataset... |
https://github.com/huggingface/datasets/issues/3473 | Iterating over a vision dataset doesn't decode the images | For me it's not an issue, actually. I just (mistakenly) tried to iterate over a PyTorch Dataset instead of a PyTorch DataLoader,
i.e. I did this:
`batch = next(iter(train_ds)) `
whereas I actually wanted to do
`batch = next(iter(train_dataloader))`
and then it turned out that in the first case, the imag... | ## Describe the bug
If I load `mnist` and I iterate over the dataset, the images are not decoded, and the dictionary with the bytes is returned.
## Steps to reproduce the bug
```python
from datasets import load_dataset
import PIL
mnist = load_dataset("mnist", split="train")
first_image = mnist[0]["image"... | 66 | Iterating over a vision dataset doesn't decode the images
## Describe the bug
If I load `mnist` and I iterate over the dataset, the images are not decoded, and the dictionary with the bytes is returned.
## Steps to reproduce the bug
```python
from datasets import load_dataset
import PIL
mnist = load_dataset... |
https://github.com/huggingface/datasets/issues/3473 | Iterating over a vision dataset doesn't decode the images | Thanks @NielsRogge for the context.
So IMO everything is working as expected.
I'm closing this issue. Feel free to reopen it again if further changes of the specs should be addressed. | ## Describe the bug
If I load `mnist` and I iterate over the dataset, the images are not decoded, and the dictionary with the bytes is returned.
## Steps to reproduce the bug
```python
from datasets import load_dataset
import PIL
mnist = load_dataset("mnist", split="train")
first_image = mnist[0]["image"... | 31 | Iterating over a vision dataset doesn't decode the images
## Describe the bug
If I load `mnist` and I iterate over the dataset, the images are not decoded, and the dictionary with the bytes is returned.
## Steps to reproduce the bug
```python
from datasets import load_dataset
import PIL
mnist = load_dataset... |
https://github.com/huggingface/datasets/issues/3473 | Iterating over a vision dataset doesn't decode the images | Thanks for the details :)
I still think that it's unexpected to get different results when doing
```python
for i in range(len(dataset)):
sample = dataset[i]
```
and
```python
for sample in dataset:
pass
```
even though I understand that if you don't need to decode the data, then decoding image or a... | ## Describe the bug
If I load `mnist` and I iterate over the dataset, the images are not decoded, and the dictionary with the bytes is returned.
## Steps to reproduce the bug
```python
from datasets import load_dataset
import PIL
mnist = load_dataset("mnist", split="train")
first_image = mnist[0]["image"... | 83 | Iterating over a vision dataset doesn't decode the images
## Describe the bug
If I load `mnist` and I iterate over the dataset, the images are not decoded, and the dictionary with the bytes is returned.
## Steps to reproduce the bug
```python
from datasets import load_dataset
import PIL
mnist = load_dataset... |
https://github.com/huggingface/datasets/issues/5941 | Load Data Sets Too Slow In Train Seq2seq Model | already did，but not useful for step Generating train split，it works in step "Resolving data files" & "Downloading data files" | ### Describe the bug
step 'Generating train split' in load_dataset is too slow：
### Steps to reproduce the bug
Data： own data，16K16B Mono wav
Oficial Script:[ run_speech_recognition_seq2seq.py](https://github... | 19 | Load Data Sets Too Slow In Train Seq2seq Model
### Describe the bug
step 'Generating train split' in load_dataset is too slow：
### Steps to reproduce the bug
Data： own data，16K16B Mono wav
Oficial Script:[ ru... |
https://github.com/huggingface/datasets/issues/5941 | Load Data Sets Too Slow In Train Seq2seq Model | We need more info about the issue to provide help.
Can you interrupt the process (with `num_proc=None`) after the `load_dataset` call when the slowdown occurs? So we can know what part of the code is causing it.
The `audiofolder` \ `imagefolder` with metadata is not performant for large datasets. Luckily, we can... | ### Describe the bug
step 'Generating train split' in load_dataset is too slow：
### Steps to reproduce the bug
Data： own data，16K16B Mono wav
Oficial Script:[ run_speech_recognition_seq2seq.py](https://github... | 101 | Load Data Sets Too Slow In Train Seq2seq Model
### Describe the bug
step 'Generating train split' in load_dataset is too slow：
### Steps to reproduce the bug
Data： own data，16K16B Mono wav
Oficial Script:[ ru... |
https://github.com/huggingface/datasets/issues/5941 | Load Data Sets Too Slow In Train Seq2seq Model | Can you interrupt the process (with num_proc=None) after the load_dataset call when the slowdown occurs? So we can know what part of the code is causing it.
（I'll try this operation）
The audiofolder \ imagefolder with metadata is not performant for large datasets. Luckily, we can make them much faster if drop the nes... | ### Describe the bug
step 'Generating train split' in load_dataset is too slow：
### Steps to reproduce the bug
Data： own data，16K16B Mono wav
Oficial Script:[ run_speech_recognition_seq2seq.py](https://github... | 140 | Load Data Sets Too Slow In Train Seq2seq Model
### Describe the bug
step 'Generating train split' in load_dataset is too slow：
### Steps to reproduce the bug
Data： own data，16K16B Mono wav
Oficial Script:[ ru... |
https://github.com/huggingface/datasets/issues/5941 | Load Data Sets Too Slow In Train Seq2seq Model | Can you interrupt the process (with num_proc=None) after the load_dataset call when the slowdown occurs? So we can know what part of the code is causing it.
================================================================================
Here is the log：
[load_dataset.log](https://github.com/huggingface/datasets/fil... | ### Describe the bug
step 'Generating train split' in load_dataset is too slow：
### Steps to reproduce the bug
Data： own data，16K16B Mono wav
Oficial Script:[ run_speech_recognition_seq2seq.py](https://github... | 43 | Load Data Sets Too Slow In Train Seq2seq Model
### Describe the bug
step 'Generating train split' in load_dataset is too slow：
### Steps to reproduce the bug
Data： own data，16K16B Mono wav
Oficial Script:[ ru... |
https://github.com/huggingface/datasets/issues/5941 | Load Data Sets Too Slow In Train Seq2seq Model | In the meantime, it's better to use Dataset.from_generator (requires replacing the load_dataset calls in the transformers script with Dataset.from_generator) or write a dataset loading script for large datasets.
================================================================================
I tried ‘Dataset. from_ge... | ### Describe the bug
step 'Generating train split' in load_dataset is too slow：
### Steps to reproduce the bug
Data： own data，16K16B Mono wav
Oficial Script:[ run_speech_recognition_seq2seq.py](https://github... | 43 | Load Data Sets Too Slow In Train Seq2seq Model
### Describe the bug
step 'Generating train split' in load_dataset is too slow：
### Steps to reproduce the bug
Data： own data，16K16B Mono wav
Oficial Script:[ ru... |
https://github.com/huggingface/datasets/issues/5941 | Load Data Sets Too Slow In Train Seq2seq Model | I have already solved this problem, referring to #5990 : read audio frist, then use data_generator to change format . | ### Describe the bug
step 'Generating train split' in load_dataset is too slow：
### Steps to reproduce the bug
Data： own data，16K16B Mono wav
Oficial Script:[ run_speech_recognition_seq2seq.py](https://github... | 20 | Load Data Sets Too Slow In Train Seq2seq Model
### Describe the bug
step 'Generating train split' in load_dataset is too slow：
### Steps to reproduce the bug
Data： own data，16K16B Mono wav
Oficial Script:[ ru... |
https://github.com/huggingface/datasets/issues/6157 | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding' | Thanks for reporting, but we can only fix this issue if you can provide a reproducer that consistently reproduces it. | ### Describe the bug
When I was in load_dataset, it said "DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'". The second time I ran it, there was no error and the dataset object worked
```python
---------------------------------------------------------------------------
TypeErr... | 20 | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'
### Describe the bug
When I was in load_dataset, it said "DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'". The second time I ran it, there was no error and the dataset object worked
```python... |
https://github.com/huggingface/datasets/issues/6157 | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding' | Does this error occur even if you change the cache directory (the `cache_dir` parameter in `load_dataset`)? | ### Describe the bug
When I was in load_dataset, it said "DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'". The second time I ran it, there was no error and the dataset object worked
```python
---------------------------------------------------------------------------
TypeErr... | 16 | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'
### Describe the bug
When I was in load_dataset, it said "DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'". The second time I ran it, there was no error and the dataset object worked
```python... |
https://github.com/huggingface/datasets/issues/6157 | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding' | @mariosasko And I changed the data file, but executing load_dataset is always the previous result. I had to change something in images.py to use the new results. Using 'cleanup_cache_files' is invalid! Help me. | ### Describe the bug
When I was in load_dataset, it said "DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'". The second time I ran it, there was no error and the dataset object worked
```python
---------------------------------------------------------------------------
TypeErr... | 33 | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'
### Describe the bug
When I was in load_dataset, it said "DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'". The second time I ran it, there was no error and the dataset object worked
```python... |
https://github.com/huggingface/datasets/issues/6157 | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding' | @mariosasko I added a comprehensive error message. Check that _column_requires_decoding is being passed where it shouldn't be. DatasetInfo.__init__() Whether this parameter is required | ### Describe the bug
When I was in load_dataset, it said "DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'". The second time I ran it, there was no error and the dataset object worked
```python
---------------------------------------------------------------------------
TypeErr... | 23 | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'
### Describe the bug
When I was in load_dataset, it said "DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'". The second time I ran it, there was no error and the dataset object worked
```python... |
https://github.com/huggingface/datasets/issues/6157 | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding' | I can see the issue now...
You can fix it by returning a `DatasetInfo` object in the `_info` method as follows:
```python
def _info(self):
if self.config.name == "similar_pairs":
features = datasets.Features(
{
"image1": datasets.features.Image(),
... | ### Describe the bug
When I was in load_dataset, it said "DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'". The second time I ran it, there was no error and the dataset object worked
```python
---------------------------------------------------------------------------
TypeErr... | 59 | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'
### Describe the bug
When I was in load_dataset, it said "DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'". The second time I ran it, there was no error and the dataset object worked
```python... |
https://github.com/huggingface/datasets/issues/6157 | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding' | @mariosasko Oh, that's the problem. Thank you very much. Returned the wrong object and it actually works? I've been training with it for a long time | ### Describe the bug
When I was in load_dataset, it said "DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'". The second time I ran it, there was no error and the dataset object worked
```python
---------------------------------------------------------------------------
TypeErr... | 26 | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'
### Describe the bug
When I was in load_dataset, it said "DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'". The second time I ran it, there was no error and the dataset object worked
```python... |
https://github.com/huggingface/datasets/issues/6157 | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding' | @mariosasko The original code can still see progress. emmm, I can't see how many examples is generated so far, so I don't know if we should wait | ### Describe the bug
When I was in load_dataset, it said "DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'". The second time I ran it, there was no error and the dataset object worked
```python
---------------------------------------------------------------------------
TypeErr... | 27 | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'
### Describe the bug
When I was in load_dataset, it said "DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'". The second time I ran it, there was no error and the dataset object worked
```python... |
https://github.com/huggingface/datasets/issues/6157 | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding' | The original issue has been addressed, so I'm closing it.
Please open a new issue if you encounter more errors. | ### Describe the bug
When I was in load_dataset, it said "DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'". The second time I ran it, there was no error and the dataset object worked
```python
---------------------------------------------------------------------------
TypeErr... | 20 | DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'
### Describe the bug
When I was in load_dataset, it said "DatasetInfo.__init__() got an unexpected keyword argument '_column_requires_decoding'". The second time I ran it, there was no error and the dataset object worked
```python... |
https://github.com/huggingface/datasets/issues/6302 | ArrowWriter/ParquetWriter `write` method does not increase `_num_bytes` and hence datasets not sharding at `max_shard_size` | `writer._num_bytes` is updated every `writer_batch_size`-th call to the `write` method (default `writer_batch_size` is 1000 (examples)). You should be able to see the update by passing a smaller `writer_batch_size` to the `load_dataset_builder`.
We could improve this by supporting the string `writer_batch_size` vers... | ### Describe the bug
An example from [1], does not work when limiting shards with `max_shard_size`.
Try the following example with low `max_shard_size`, such as:
```python
builder.download_and_prepare(output_dir, storage_options=storage_options, file_format="parquet", max_shard_size="10MB")
```
The reason f... | 59 | ArrowWriter/ParquetWriter `write` method does not increase `_num_bytes` and hence datasets not sharding at `max_shard_size`
### Describe the bug
An example from [1], does not work when limiting shards with `max_shard_size`.
Try the following example with low `max_shard_size`, such as:
```python
builder.download... |
https://github.com/huggingface/datasets/issues/5687 | Document to compress data files before uploading | Great idea!
Should we also take this opportunity to include some audio/image file formats? Currently, it still reads very text heavy. Something like:
> We support many text, audio, and image data extensions such as `.zip`, `.rar`, `.mp3`, and `.jpg` among many others. For data extensions like `.csv`, `.json`, `.j... | In our docs to [Share a dataset to the Hub](https://huggingface.co/docs/datasets/upload_dataset), we tell users to upload directly their data files, like CSV, JSON, JSON-Lines, text,... However, these extensions are not tracked by Git LFS by default, as they are not in the `.giattributes` file. Therefore, if they are t... | 102 | Document to compress data files before uploading
In our docs to [Share a dataset to the Hub](https://huggingface.co/docs/datasets/upload_dataset), we tell users to upload directly their data files, like CSV, JSON, JSON-Lines, text,... However, these extensions are not tracked by Git LFS by default, as they are not in t... |
https://github.com/huggingface/datasets/issues/5687 | Document to compress data files before uploading | Hi @stevhliu, thanks for your suggestion.
I agree it is a good opportunity to mention that audio/image file formats are also supported.
Nit:
I would not mention .zip, .rar after "text, audio, and image data extensions". Those are "compression" extensions and not "text, audio, and image data extensions".
What ... | In our docs to [Share a dataset to the Hub](https://huggingface.co/docs/datasets/upload_dataset), we tell users to upload directly their data files, like CSV, JSON, JSON-Lines, text,... However, these extensions are not tracked by Git LFS by default, as they are not in the `.giattributes` file. Therefore, if they are t... | 181 | Document to compress data files before uploading
In our docs to [Share a dataset to the Hub](https://huggingface.co/docs/datasets/upload_dataset), we tell users to upload directly their data files, like CSV, JSON, JSON-Lines, text,... However, these extensions are not tracked by Git LFS by default, as they are not in t... |
https://github.com/huggingface/datasets/issues/7990 | Dataset.map crashes when first examples return None and later examples return dict — writer not initialized | Hi, I'd like to work on this if the team is open to it.
I understand from @lhoestq's comment that `map()` currently expects
a consistent return type. However, the crash with `AttributeError:
'NoneType' object has no attribute 'write'` gives no indication of
this constraint to the user — it's an opaque internal error... | ### Describe the bug
I detected a serious [bug from datasets/arrow_dataset.py](https://github.com/huggingface/datasets/blob/main/src/datasets/arrow_dataset.py#L3676)
---
**Description of the bug**
`Dataset.map` crashes with `writer is None` when the map function returns `None` for the first few examples and a diction... | 125 | Dataset.map crashes when first examples return None and later examples return dict — writer not initialized
### Describe the bug
I detected a serious [bug from datasets/arrow_dataset.py](https://github.com/huggingface/datasets/blob/main/src/datasets/arrow_dataset.py#L3676)
---
**Description of the bug**
`Dataset.map`... |
https://github.com/huggingface/datasets/issues/6585 | losing DatasetInfo in Dataset.map when num_proc > 1 | Hi ! This issue comes from the fact that `map()` with `num_proc>1` shards the dataset in multiple chunks to be processed (one per process) and merges them. The DatasetInfos of each chunk are then merged together, but for some fields like `dataset_name` it's not been implemented and default to None.
The DatasetInfo m... | ### Describe the bug
Hello and thanks for developing this package!
When I process a Dataset with the map function using multiple processors some set attributes of the DatasetInfo get lost and are None in the resulting Dataset.
### Steps to reproduce the bug
```python
from datasets import Dataset, DatasetInfo... | 65 | losing DatasetInfo in Dataset.map when num_proc > 1
### Describe the bug
Hello and thanks for developing this package!
When I process a Dataset with the map function using multiple processors some set attributes of the DatasetInfo get lost and are None in the resulting Dataset.
### Steps to reproduce the bug
... |
https://github.com/huggingface/datasets/issues/3954 | The dataset preview is not available for tdklab/Hebrew_Squad_v1.1 dataset | Hi @MatanBenChorin, thanks for reporting.
Please, take into account that the preview may take some time until it properly renders (we are working to reduce this time).
Maybe @severo can give more details on this. | ## Dataset viewer issue for 'tdklab/Hebrew_Squad_v1.1'
**Link:** https://huggingface.co/api/datasets/tdklab/Hebrew_Squad_v1.1?full=true
The dataset preview is not available for this dataset.
Am I the one who added this dataset ? Yes | 35 | The dataset preview is not available for tdklab/Hebrew_Squad_v1.1 dataset
## Dataset viewer issue for 'tdklab/Hebrew_Squad_v1.1'
**Link:** https://huggingface.co/api/datasets/tdklab/Hebrew_Squad_v1.1?full=true
The dataset preview is not available for this dataset.
Am I the one who added this dataset ? Yes
Hi ... |
https://github.com/huggingface/datasets/issues/3954 | The dataset preview is not available for tdklab/Hebrew_Squad_v1.1 dataset | I imagine the dataset has been moved to https://huggingface.co/datasets/tdklab/Hebrew_Squad_v1, which still has an issue:
```
Server Error
Status code: 400
Exception: NameError
Message: name 'HebrewSquad' is not defined
``` | ## Dataset viewer issue for 'tdklab/Hebrew_Squad_v1.1'
**Link:** https://huggingface.co/api/datasets/tdklab/Hebrew_Squad_v1.1?full=true
The dataset preview is not available for this dataset.
Am I the one who added this dataset ? Yes | 29 | The dataset preview is not available for tdklab/Hebrew_Squad_v1.1 dataset
## Dataset viewer issue for 'tdklab/Hebrew_Squad_v1.1'
**Link:** https://huggingface.co/api/datasets/tdklab/Hebrew_Squad_v1.1?full=true
The dataset preview is not available for this dataset.
Am I the one who added this dataset ? Yes
I i... |
https://github.com/huggingface/datasets/issues/3954 | The dataset preview is not available for tdklab/Hebrew_Squad_v1.1 dataset | The issue is not related to the dataset viewer but to the loading script (cc @albertvillanova @lhoestq @mariosasko)
```python
>>> import datasets as ds
>>> hf_token = "hf_..." # <- required because the dataset is gated
>>> d = ds.load_dataset('tdklab/Hebrew_Squad_v1', use_auth_token=hf_token)
...
NameError: nam... | ## Dataset viewer issue for 'tdklab/Hebrew_Squad_v1.1'
**Link:** https://huggingface.co/api/datasets/tdklab/Hebrew_Squad_v1.1?full=true
The dataset preview is not available for this dataset.
Am I the one who added this dataset ? Yes | 49 | The dataset preview is not available for tdklab/Hebrew_Squad_v1.1 dataset
## Dataset viewer issue for 'tdklab/Hebrew_Squad_v1.1'
**Link:** https://huggingface.co/api/datasets/tdklab/Hebrew_Squad_v1.1?full=true
The dataset preview is not available for this dataset.
Am I the one who added this dataset ? Yes
The... |
https://github.com/huggingface/datasets/issues/3954 | The dataset preview is not available for tdklab/Hebrew_Squad_v1.1 dataset | Yes indeed there is an error in [Hebrew_Squad_v1.py:L40](https://huggingface.co/datasets/tdklab/Hebrew_Squad_v1/blob/main/Hebrew_Squad_v1.py#L40)
Here is the fix @MatanBenChorin :
```diff
- HebrewSquad(
+ HebrewSquadConfig(
``` | ## Dataset viewer issue for 'tdklab/Hebrew_Squad_v1.1'
**Link:** https://huggingface.co/api/datasets/tdklab/Hebrew_Squad_v1.1?full=true
The dataset preview is not available for this dataset.
Am I the one who added this dataset ? Yes | 20 | The dataset preview is not available for tdklab/Hebrew_Squad_v1.1 dataset
## Dataset viewer issue for 'tdklab/Hebrew_Squad_v1.1'
**Link:** https://huggingface.co/api/datasets/tdklab/Hebrew_Squad_v1.1?full=true
The dataset preview is not available for this dataset.
Am I the one who added this dataset ? Yes
Yes... |
https://github.com/huggingface/datasets/issues/5702 | Is it possible or how to define a `datasets.Sequence` that could potentially be either a dict, a str, or None? | Hi ! `datasets` uses Apache Arrow as backend to store the data, and it requires each column to have a fixed type. Therefore a column can't have a mix of dicts/lists/strings.
Though it's possible to have one (nullable) field for each type:
```python
features = Features({
"text_alone": Value("string"),
"te... | ### Feature request
Hello! Apologies if my question sounds naive:
I was wondering if it’s possible, or how one would go about defining a 'datasets.Sequence' element in datasets.Features that could potentially be either a dict, a str, or None?
Specifically, I’d like to define a feature for a list that contains 18... | 109 | Is it possible or how to define a `datasets.Sequence` that could potentially be either a dict, a str, or None?
### Feature request
Hello! Apologies if my question sounds naive:
I was wondering if it’s possible, or how one would go about defining a 'datasets.Sequence' element in datasets.Features that could potentia... |
https://github.com/huggingface/datasets/issues/5702 | Is it possible or how to define a `datasets.Sequence` that could potentially be either a dict, a str, or None? | @lhoestq Thank you! I further wonder if it's possible to use list subscripts as keys of a feature? Like
```python
features = Features({
0: Value("string"),
1: {
"text": Value("string"),
"idxes": [Value("int64")]
},
2: Value("string"),
# ...
})
``` | ### Feature request
Hello! Apologies if my question sounds naive:
I was wondering if it’s possible, or how one would go about defining a 'datasets.Sequence' element in datasets.Features that could potentially be either a dict, a str, or None?
Specifically, I’d like to define a feature for a list that contains 18... | 38 | Is it possible or how to define a `datasets.Sequence` that could potentially be either a dict, a str, or None?
### Feature request
Hello! Apologies if my question sounds naive:
I was wondering if it’s possible, or how one would go about defining a 'datasets.Sequence' element in datasets.Features that could potentia... |
https://github.com/huggingface/datasets/issues/5702 | Is it possible or how to define a `datasets.Sequence` that could potentially be either a dict, a str, or None? | Column names need to be strings, so you could use "1", "2", etc. or give appropriate column names | ### Feature request
Hello! Apologies if my question sounds naive:
I was wondering if it’s possible, or how one would go about defining a 'datasets.Sequence' element in datasets.Features that could potentially be either a dict, a str, or None?
Specifically, I’d like to define a feature for a list that contains 18... | 18 | Is it possible or how to define a `datasets.Sequence` that could potentially be either a dict, a str, or None?
### Feature request
Hello! Apologies if my question sounds naive:
I was wondering if it’s possible, or how one would go about defining a 'datasets.Sequence' element in datasets.Features that could potentia... |
https://github.com/huggingface/datasets/issues/7471 | Adding argument to `_get_data_files_patterns` | Hi ! The pattern can be specified in advance in YAML in the README.md of the dataset :)
For example
```
---
configs:
- config_name: default
data_files:
- split: train
path: "train/*"
- split: test
path: "test/*"
---
```
See the docs at https://huggingface.co/docs/hub/en/datasets-manual-configuration | ### Feature request
How about adding if the user already know about the pattern?
https://github.com/huggingface/datasets/blob/a256b85cbc67aa3f0e75d32d6586afc507cf535b/src/datasets/data_files.py#L252
### Motivation
While using this load_dataset people might use 10M of images for the local files.
However, due to sear... | 44 | Adding argument to `_get_data_files_patterns`
### Feature request
How about adding if the user already know about the pattern?
https://github.com/huggingface/datasets/blob/a256b85cbc67aa3f0e75d32d6586afc507cf535b/src/datasets/data_files.py#L252
### Motivation
While using this load_dataset people might use 10M of im... |
https://github.com/huggingface/datasets/issues/4056 | Unexpected behavior of _TempDirWithCustomCleanup | Hi ! Would setting TMPDIR at the beginning of your python script/session work ? I mean, even before importing transformers, datasets, etc. and using them ? I think this would be the most robust solution given any library that uses `tempfile`. I don't think we aim to support environment variables to be changed at run ti... | ## Describe the bug
This is not 100% a bug in `datasets`, but behavior that surprised me and I think this could be made more robust on the `datasets`side.
When using `datasets.disable_caching()`, cache files are written to a temporary directory. This directory should be based on the environment variable TMPDIR. I ... | 56 | Unexpected behavior of _TempDirWithCustomCleanup
## Describe the bug
This is not 100% a bug in `datasets`, but behavior that surprised me and I think this could be made more robust on the `datasets`side.
When using `datasets.disable_caching()`, cache files are written to a temporary directory. This directory shoul... |
https://github.com/huggingface/datasets/issues/4056 | Unexpected behavior of _TempDirWithCustomCleanup | Hi, yeah setting the environment variable before the imports / as environment variable outside is another way to fix this. I am just arguing that `datasets` already uses its own global variable to track temporary files: `_TEMP_DIR_FOR_TEMP_CACHE_FILES`, and the creation of this global variable should respect TMPDIR ins... | ## Describe the bug
This is not 100% a bug in `datasets`, but behavior that surprised me and I think this could be made more robust on the `datasets`side.
When using `datasets.disable_caching()`, cache files are written to a temporary directory. This directory should be based on the environment variable TMPDIR. I ... | 55 | Unexpected behavior of _TempDirWithCustomCleanup
## Describe the bug
This is not 100% a bug in `datasets`, but behavior that surprised me and I think this could be made more robust on the `datasets`side.
When using `datasets.disable_caching()`, cache files are written to a temporary directory. This directory shoul... |
https://github.com/huggingface/datasets/issues/4776 | RuntimeError when using torchaudio 0.12.0 to load MP3 audio file | Requiring torchaudio<0.12.0 isn't really a viable solution because that implies torch<0.12.0 which means no sm_86 CUDA support which means no RTX 3090 support in PyTorch.
But in my case, the error only occurs if `_fallback_load` resolves to `_fail_load` inside torchaudio 0.12.0 which is only the case if FFMPEG initi... | Current version of `torchaudio` (0.12.0) raises a RuntimeError when trying to use `sox_io` backend but non-Python dependency `sox` is not installed:
https://github.com/pytorch/audio/blob/2e1388401c434011e9f044b40bc8374f2ddfc414/torchaudio/backend/sox_io_backend.py#L21-L29
```python
def _fail_load(
filepath: str... | 156 | RuntimeError when using torchaudio 0.12.0 to load MP3 audio file
Current version of `torchaudio` (0.12.0) raises a RuntimeError when trying to use `sox_io` backend but non-Python dependency `sox` is not installed:
https://github.com/pytorch/audio/blob/2e1388401c434011e9f044b40bc8374f2ddfc414/torchaudio/backend/sox_io_... |
https://github.com/huggingface/datasets/issues/7495 | Columns in the dataset obtained though load_dataset do not correspond to the one in the dataset viewer since 3.4.0 | Hi, the dataset viewer shows all the possible columns and their types, but `load_dataset()` iterates through all the columns that you defined. It seems that you only have one column (‘audio’) defined in your dataset because when I ran `print(ds.column_names)`, the only name I got was “audio”. You need to clearly define... | ### Describe the bug
I have noticed that on my dataset named [BrunoHays/Accueil_UBS](https://huggingface.co/datasets/BrunoHays/Accueil_UBS), since the version 3.4.0, every column except audio is missing when I load the dataset.
Interestingly, the dataset viewer still shows the correct columns
### Steps to reproduce ... | 93 | Columns in the dataset obtained though load_dataset do not correspond to the one in the dataset viewer since 3.4.0
### Describe the bug
I have noticed that on my dataset named [BrunoHays/Accueil_UBS](https://huggingface.co/datasets/BrunoHays/Accueil_UBS), since the version 3.4.0, every column except audio is missing w... |
https://github.com/huggingface/datasets/issues/7495 | Columns in the dataset obtained though load_dataset do not correspond to the one in the dataset viewer since 3.4.0 | @phoebecd
Good catch, even in datasets<3.4.0, the only feature is "audio".
This datasets follows the [audio folder](https://huggingface.co/docs/datasets/en/audio_dataset#audiofolder) structure with metadata.csv.
Maybe I missed something or there is a bug when having and audio_folder with a metadata file
What do you t... | ### Describe the bug
I have noticed that on my dataset named [BrunoHays/Accueil_UBS](https://huggingface.co/datasets/BrunoHays/Accueil_UBS), since the version 3.4.0, every column except audio is missing when I load the dataset.
Interestingly, the dataset viewer still shows the correct columns
### Steps to reproduce ... | 43 | Columns in the dataset obtained though load_dataset do not correspond to the one in the dataset viewer since 3.4.0
### Describe the bug
I have noticed that on my dataset named [BrunoHays/Accueil_UBS](https://huggingface.co/datasets/BrunoHays/Accueil_UBS), since the version 3.4.0, every column except audio is missing w... |
https://github.com/huggingface/datasets/issues/7495 | Columns in the dataset obtained though load_dataset do not correspond to the one in the dataset viewer since 3.4.0 | I opened a PR to fix the issue :) https://huggingface.co/datasets/BrunoHays/Accueil_UBS/discussions/2
We expect the metadata file to be in the <split>/ folder now to allow one CSV metadata file per split. But in the PR I just added a manual configuration instead of moving the file and updating all the relative paths i... | ### Describe the bug
I have noticed that on my dataset named [BrunoHays/Accueil_UBS](https://huggingface.co/datasets/BrunoHays/Accueil_UBS), since the version 3.4.0, every column except audio is missing when I load the dataset.
Interestingly, the dataset viewer still shows the correct columns
### Steps to reproduce ... | 53 | Columns in the dataset obtained though load_dataset do not correspond to the one in the dataset viewer since 3.4.0
### Describe the bug
I have noticed that on my dataset named [BrunoHays/Accueil_UBS](https://huggingface.co/datasets/BrunoHays/Accueil_UBS), since the version 3.4.0, every column except audio is missing w... |
https://github.com/huggingface/datasets/issues/5765 | ValueError: You should supply an encoding or a list of encodings to this method that includes input_ids, but you provided ['text'] | You need to remove the `text` and `text_en` columns before passing the dataset to the `DataLoader` to avoid this error:
```python
tokenized_datasets = tokenized_datasets.remove_columns(["text", "text_en"])
```
| ### Describe the bug
Following is my code that I am trying to run, but facing an error (have attached the whole error below):
My code:
```
from collections import OrderedDict
import warnings
import flwr as fl
import torch
import numpy as np
import random
from torch.utils.data import DataLoader
from... | 26 | ValueError: You should supply an encoding or a list of encodings to this method that includes input_ids, but you provided ['text']
### Describe the bug
Following is my code that I am trying to run, but facing an error (have attached the whole error below):
My code:
```
from collections import OrderedDict
impor... |
https://github.com/huggingface/datasets/issues/5765 | ValueError: You should supply an encoding or a list of encodings to this method that includes input_ids, but you provided ['text'] | Thanks @mariosasko. Now I am getting this error:
```
Traceback (most recent call last):
File "client_2.py", line 138, in <module>
main()
File "client_2.py", line 134, in main
fl.client.start_numpy_client(server_address="localhost:8080", client=IMDBClient())
File "/home/saurav/.local/lib/python3.8... | ### Describe the bug
Following is my code that I am trying to run, but facing an error (have attached the whole error below):
My code:
```
from collections import OrderedDict
import warnings
import flwr as fl
import torch
import numpy as np
import random
from torch.utils.data import DataLoader
from... | 550 | ValueError: You should supply an encoding or a list of encodings to this method that includes input_ids, but you provided ['text']
### Describe the bug
Following is my code that I am trying to run, but facing an error (have attached the whole error below):
My code:
```
from collections import OrderedDict
impor... |
https://github.com/huggingface/datasets/issues/5765 | ValueError: You should supply an encoding or a list of encodings to this method that includes input_ids, but you provided ['text'] | Please also remove/comment these lines:
```python
tokenized_datasets = tokenized_datasets.remove_columns("attention_mask")
tokenized_datasets = tokenized_datasets.remove_columns("input_ids")
tokenized_datasets = tokenized_datasets.remove_columns("label")
``` | ### Describe the bug
Following is my code that I am trying to run, but facing an error (have attached the whole error below):
My code:
```
from collections import OrderedDict
import warnings
import flwr as fl
import torch
import numpy as np
import random
from torch.utils.data import DataLoader
from... | 16 | ValueError: You should supply an encoding or a list of encodings to this method that includes input_ids, but you provided ['text']
### Describe the bug
Following is my code that I am trying to run, but facing an error (have attached the whole error below):
My code:
```
from collections import OrderedDict
impor... |
https://github.com/huggingface/datasets/issues/5765 | ValueError: You should supply an encoding or a list of encodings to this method that includes input_ids, but you provided ['text'] | Thanks @mariosasko .
Now, I am trying out this [tutorial](https://flower.dev/docs/quickstart-huggingface.html) which basically trains distil-BERT with IMDB dataset (very similar to this [tutorial](https://huggingface.co/docs/transformers/main/tasks/sequence_classification)). But I don't know why my accuracy isn't in... | ### Describe the bug
Following is my code that I am trying to run, but facing an error (have attached the whole error below):
My code:
```
from collections import OrderedDict
import warnings
import flwr as fl
import torch
import numpy as np
import random
from torch.utils.data import DataLoader
from... | 376 | ValueError: You should supply an encoding or a list of encodings to this method that includes input_ids, but you provided ['text']
### Describe the bug
Following is my code that I am trying to run, but facing an error (have attached the whole error below):
My code:
```
from collections import OrderedDict
impor... |
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