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https://github.com/huggingface/datasets/issues/3889 | Cannot load beans dataset (Couldn't reach the dataset) | Hi ! A pull request is open to fix the dataset, we'll release a patch soon with a new release of `datasets` :) | ## Describe the bug
The beans dataset is unavailable to download.
## Steps to reproduce the bug
```python
from datasets import load_dataset
ds = load_dataset('beans')
```
## Expected results
The dataset would be downloaded with no issue.
## Actual results
```
ConnectionError: Couldn't reach https://s... | 23 | Cannot load beans dataset (Couldn't reach the dataset)
## Describe the bug
The beans dataset is unavailable to download.
## Steps to reproduce the bug
```python
from datasets import load_dataset
ds = load_dataset('beans')
```
## Expected results
The dataset would be downloaded with no issue.
## Actual re... |
https://github.com/huggingface/datasets/issues/4942 | Trec Dataset has incorrect labels | Thanks for reporting, @wmpauli.
Indeed we recently fixed this issue:
- #4801
The fix will be accessible after our next library release. In the meantime, you can have it by passing `revision="main"` to `load_dataset`. | ## Describe the bug
Both coarse and fine labels seem to be out of line.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = "trec"
raw_datasets = load_dataset(dataset)
df = pd.DataFrame(raw_datasets["test"])
df.head()
```
## Expected results
text (string) | coarse_labe... | 34 | Trec Dataset has incorrect labels
## Describe the bug
Both coarse and fine labels seem to be out of line.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = "trec"
raw_datasets = load_dataset(dataset)
df = pd.DataFrame(raw_datasets["test"])
df.head()
```
## Expected re... |
https://github.com/huggingface/datasets/issues/3597 | ERROR: File "setup.py" or "setup.cfg" not found. Directory cannot be installed in editable mode: /content | Hi! The `cd` command in Jupyer/Colab needs to start with `%`, so this should work:
```
!git clone https://github.com/huggingface/datasets.git
%cd datasets
!pip install -e ".[streaming]"
``` | ## Bug
The install of streaming dataset is giving following error.
## Steps to reproduce the bug
```python
! git clone https://github.com/huggingface/datasets.git
! cd datasets
! pip install -e ".[streaming]"
```
## Actual results
Cloning into 'datasets'...
remote: Enumerating objects: 50816, done.
remot... | 26 | ERROR: File "setup.py" or "setup.cfg" not found. Directory cannot be installed in editable mode: /content
## Bug
The install of streaming dataset is giving following error.
## Steps to reproduce the bug
```python
! git clone https://github.com/huggingface/datasets.git
! cd datasets
! pip install -e ".[streaming... |
https://github.com/huggingface/datasets/issues/6668 | Chapter 6 - Issue Loading `cnn_dailymail` dataset | Here's a snippet that works with the current `datasets`:
```python
dataset = load_dataset("cnn_dailymail", "3.0.0")
```
(Drop the `version=` part.) | ### Describe the bug
So I am getting this bug when I try to run cell 4 of the Chapter 6 notebook code:
`dataset = load_dataset("ccdv/cnn_dailymail", version="3.0.0")`
Error Message:
```
---------------------------------------------------------------------------
ValueError Tracebac... | 19 | Chapter 6 - Issue Loading `cnn_dailymail` dataset
### Describe the bug
So I am getting this bug when I try to run cell 4 of the Chapter 6 notebook code:
`dataset = load_dataset("ccdv/cnn_dailymail", version="3.0.0")`
Error Message:
```
---------------------------------------------------------------------------
... |
https://github.com/huggingface/datasets/issues/3942 | reddit_tifu dataset: Checksums didn't match for dataset source files | Hi @XingxingZhang,
We have already fixed this. You should update `datasets` version to at least 1.18.4:
```shell
pip install -U datasets
```
And then force the redownload:
```python
load_dataset("...", download_mode="force_redownload")
```
Duplicate of:
- #3773 | ## Describe the bug
When loading the reddit_tifu dataset, it throws the exception "Checksums didn't match for dataset source files"
## Steps to reproduce the bug
```python
import datasets
from datasets import load_dataset
print(datasets.__version__)
# load_dataset('billsum')
load_dataset('reddit_tifu'... | 35 | reddit_tifu dataset: Checksums didn't match for dataset source files
## Describe the bug
When loading the reddit_tifu dataset, it throws the exception "Checksums didn't match for dataset source files"
## Steps to reproduce the bug
```python
import datasets
from datasets import load_dataset
print(datasets.__... |
https://github.com/huggingface/datasets/issues/3942 | reddit_tifu dataset: Checksums didn't match for dataset source files | thanks @albertvillanova . by upgrading to 1.18.4 and using `load_dataset("...", download_mode="force_redownload")` fixed
the bug.
using the following as you suggested in another thread can also fixed the bug
```
pip install git+https://github.com/huggingface/datasets#egg=datasets
```
| ## Describe the bug
When loading the reddit_tifu dataset, it throws the exception "Checksums didn't match for dataset source files"
## Steps to reproduce the bug
```python
import datasets
from datasets import load_dataset
print(datasets.__version__)
# load_dataset('billsum')
load_dataset('reddit_tifu'... | 33 | reddit_tifu dataset: Checksums didn't match for dataset source files
## Describe the bug
When loading the reddit_tifu dataset, it throws the exception "Checksums didn't match for dataset source files"
## Steps to reproduce the bug
```python
import datasets
from datasets import load_dataset
print(datasets.__... |
https://github.com/huggingface/datasets/issues/3942 | reddit_tifu dataset: Checksums didn't match for dataset source files | The latter solution (installing from GitHub) was proposed because the fix was not released yet. But last week we made the 1.18.4 patch release (with the fix), so no longer necessary to install from GitHub.
You can now install from PyPI, as usual:
```shell
pip install -U datasets
```
| ## Describe the bug
When loading the reddit_tifu dataset, it throws the exception "Checksums didn't match for dataset source files"
## Steps to reproduce the bug
```python
import datasets
from datasets import load_dataset
print(datasets.__version__)
# load_dataset('billsum')
load_dataset('reddit_tifu'... | 49 | reddit_tifu dataset: Checksums didn't match for dataset source files
## Describe the bug
When loading the reddit_tifu dataset, it throws the exception "Checksums didn't match for dataset source files"
## Steps to reproduce the bug
```python
import datasets
from datasets import load_dataset
print(datasets.__... |
https://github.com/huggingface/datasets/issues/6676 | Can't Read List of JSON Files Properly | Found the issue, if there are other files in the directory, it gets caught into this `*` so essentially it should be `*.json`. Could we possibly to check for list of files to make sure the pattern matches json files and raise error if not? | ### Describe the bug
Trying to read a bunch of JSON files into Dataset class but default approach doesn't work. I don't get why it works when I read it one by one but not when I pass as a list :man_shrugging:
The code fails with
```
ArrowInvalid: JSON parse error: Invalid value. in row 0
UnicodeDecodeError... | 45 | Can't Read List of JSON Files Properly
### Describe the bug
Trying to read a bunch of JSON files into Dataset class but default approach doesn't work. I don't get why it works when I read it one by one but not when I pass as a list :man_shrugging:
The code fails with
```
ArrowInvalid: JSON parse error: Invali... |
https://github.com/huggingface/datasets/issues/6676 | Can't Read List of JSON Files Properly | I don't think we should filter for `*.json` as this might silently remove desired files for many users. And this could be a major breaking change for many organizations.
You could do the globbing yourself which would keep the code clean.
```python
from glob import glob
Dataset.from_json(glob('folder/*.json'))... | ### Describe the bug
Trying to read a bunch of JSON files into Dataset class but default approach doesn't work. I don't get why it works when I read it one by one but not when I pass as a list :man_shrugging:
The code fails with
```
ArrowInvalid: JSON parse error: Invalid value. in row 0
UnicodeDecodeError... | 48 | Can't Read List of JSON Files Properly
### Describe the bug
Trying to read a bunch of JSON files into Dataset class but default approach doesn't work. I don't get why it works when I read it one by one but not when I pass as a list :man_shrugging:
The code fails with
```
ArrowInvalid: JSON parse error: Invali... |
https://github.com/huggingface/datasets/issues/6676 | Can't Read List of JSON Files Properly | I think it should still be fine to log a warning message in case the folder contains different files? I also don't get why would this be breaking as in the end using `from_FILE_TYPE` should be able to read a specific file type only. Maybe some other use case I am not aware of but since globbing or this case not mention... | ### Describe the bug
Trying to read a bunch of JSON files into Dataset class but default approach doesn't work. I don't get why it works when I read it one by one but not when I pass as a list :man_shrugging:
The code fails with
```
ArrowInvalid: JSON parse error: Invalid value. in row 0
UnicodeDecodeError... | 88 | Can't Read List of JSON Files Properly
### Describe the bug
Trying to read a bunch of JSON files into Dataset class but default approach doesn't work. I don't get why it works when I read it one by one but not when I pass as a list :man_shrugging:
The code fails with
```
ArrowInvalid: JSON parse error: Invali... |
https://github.com/huggingface/datasets/issues/7968 | Potential conflicting type checks and dead code in `/src/datasets/table.py` | Hi! Triaging stale issues — I don't think this one is actually dead code; the premise is off.
The claim is that `isinstance(table, ConcatenationTable)` at line 4 is unreachable because the line-2 `isinstance(table, pa.Table)` would have already matched, since `ConcatenationTable` is described as "a subtype of `pa.Tabl... | When statically analyzing and manually reviewing the code, I noticed a potential logic conflicting in `/src/datasets/table.py` as follows:
```
def to_blocks(table: Union[pa.Table, Table]) -> list[list[TableBlock]]:
if isinstance(table, pa.Table):
return [[InMemoryTable(table)]]
elif isinstance(ta... | 187 | Potential conflicting type checks and dead code in `/src/datasets/table.py`
When statically analyzing and manually reviewing the code, I noticed a potential logic conflicting in `/src/datasets/table.py` as follows:
```
def to_blocks(table: Union[pa.Table, Table]) -> list[list[TableBlock]]:
if isinstance(table, p... |
https://github.com/huggingface/datasets/issues/5025 | Custom Json Dataset Throwing Error when batch is False | Hi! Our processors are meant to be used in `batched` mode, so if `batched` is `False`, you need to drop the batch dimension (the error message warns you that the array has an extra dimension meaning it's 4D instead of 3D) to avoid the error:
```python
def prepare_examples(examples):
#Some preporcessing for each ... | ## Describe the bug
A clear and concise description of what the bug is.
I tried to create my custom dataset using below code
```
from datasets import Features, Sequence, ClassLabel, Value, Array2D, Array3D
from torchvision import transforms
from transformers import AutoProcessor
# we'll use the Auto API here -... | 93 | Custom Json Dataset Throwing Error when batch is False
## Describe the bug
A clear and concise description of what the bug is.
I tried to create my custom dataset using below code
```
from datasets import Features, Sequence, ClassLabel, Value, Array2D, Array3D
from torchvision import transforms
from transformer... |
https://github.com/huggingface/datasets/issues/5025 | Custom Json Dataset Throwing Error when batch is False | > Hi! Our processors are meant to be used in `batched` mode, so if `batched` is `False`, you need to drop the batch dimension (the error message warns you that the array has an extra dimension meaning it's 4D instead of 3D) to avoid the error:
>
> ```python
> def prepare_examples(examples):
> #Some preporcessi... | ## Describe the bug
A clear and concise description of what the bug is.
I tried to create my custom dataset using below code
```
from datasets import Features, Sequence, ClassLabel, Value, Array2D, Array3D
from torchvision import transforms
from transformers import AutoProcessor
# we'll use the Auto API here -... | 118 | Custom Json Dataset Throwing Error when batch is False
## Describe the bug
A clear and concise description of what the bug is.
I tried to create my custom dataset using below code
```
from datasets import Features, Sequence, ClassLabel, Value, Array2D, Array3D
from torchvision import transforms
from transformer... |
https://github.com/huggingface/datasets/issues/4933 | Dataset/DatasetDict.filter() cannot have `batched=True` due to `mask` (numpy array?) being non-iterable. | Hi ! When `batched=True`, you filter function must take a batch as input, and return a list of booleans.
In your case, something like
```python
from datasets import load_dataset
ds_mc4_ja = load_dataset("mc4", "ja") # This will take 6+ hours... perhaps test it with a toy dataset instead?
ds_mc4_ja_2020 = ds... | ## Describe the bug
`Dataset/DatasetDict.filter()` cannot have `batched=True` due to `mask` (numpy array?) being non-iterable.
## Steps to reproduce the bug
(In a python 3.7.12 env, I've tried 2.4.0 and 2.3.2 with both `pyarraw==9.0.0` and `pyarrow==8.0.0`.)
```python
from datasets import load_dataset
ds_... | 69 | Dataset/DatasetDict.filter() cannot have `batched=True` due to `mask` (numpy array?) being non-iterable.
## Describe the bug
`Dataset/DatasetDict.filter()` cannot have `batched=True` due to `mask` (numpy array?) being non-iterable.
## Steps to reproduce the bug
(In a python 3.7.12 env, I've tried 2.4.0 and 2.3.2 w... |
https://github.com/huggingface/datasets/issues/4933 | Dataset/DatasetDict.filter() cannot have `batched=True` due to `mask` (numpy array?) being non-iterable. | > Hi ! When `batched=True`, you filter function must take a batch as input, and return a list of booleans.
> [...]
> Let me know if it helps !
Hi @lhoestq,
Ah, my bad, I totally forgot that part...
Sorry for the trouble and thank you for the kind help! | ## Describe the bug
`Dataset/DatasetDict.filter()` cannot have `batched=True` due to `mask` (numpy array?) being non-iterable.
## Steps to reproduce the bug
(In a python 3.7.12 env, I've tried 2.4.0 and 2.3.2 with both `pyarraw==9.0.0` and `pyarrow==8.0.0`.)
```python
from datasets import load_dataset
ds_... | 51 | Dataset/DatasetDict.filter() cannot have `batched=True` due to `mask` (numpy array?) being non-iterable.
## Describe the bug
`Dataset/DatasetDict.filter()` cannot have `batched=True` due to `mask` (numpy array?) being non-iterable.
## Steps to reproduce the bug
(In a python 3.7.12 env, I've tried 2.4.0 and 2.3.2 w... |
https://github.com/huggingface/datasets/issues/5637 | IterableDataset with_format does not support 'device' keyword for jax | Hi! Yes, only `torch` is currently supported. Unlike `Dataset`, `IterableDataset` is not PyArrow-backed, so we cannot simply call `to_numpy` on the underlying subtables to format them numerically. Instead, we must manually convert examples to (numeric) arrays while preserving consistency with `Dataset`, which is not tr... | ### Describe the bug
As seen here: https://huggingface.co/docs/datasets/use_with_jax dataset.with_format() supports the keyword 'device', to put data on a specific device when loaded as jax. However, when called on an IterableDataset, I got the error `TypeError: with_format() got an unexpected keyword argument 'devi... | 51 | IterableDataset with_format does not support 'device' keyword for jax
### Describe the bug
As seen here: https://huggingface.co/docs/datasets/use_with_jax dataset.with_format() supports the keyword 'device', to put data on a specific device when loaded as jax. However, when called on an IterableDataset, I got the er... |
https://github.com/huggingface/datasets/issues/5637 | IterableDataset with_format does not support 'device' keyword for jax | Any plans to support it in the future? Or would streaming dataset be left without support for jax and tensorflow? | ### Describe the bug
As seen here: https://huggingface.co/docs/datasets/use_with_jax dataset.with_format() supports the keyword 'device', to put data on a specific device when loaded as jax. However, when called on an IterableDataset, I got the error `TypeError: with_format() got an unexpected keyword argument 'devi... | 20 | IterableDataset with_format does not support 'device' keyword for jax
### Describe the bug
As seen here: https://huggingface.co/docs/datasets/use_with_jax dataset.with_format() supports the keyword 'device', to put data on a specific device when loaded as jax. However, when called on an IterableDataset, I got the er... |
https://github.com/huggingface/datasets/issues/3510 | `wiki_dpr` details for Open Domain Question Answering tasks | Hi ! According to the DPR paper, the wikipedia dump is the one from Dec. 20, 2018.
Each instance contains a paragraph of at most 100 word, as well as the title of the wikipedia page it comes from and the DPR embedding (a 768-d vector). | Hey guys!
Thanks for creating the `wiki_dpr` dataset!
I am currently trying to use the dataset for context retrieval using DPR on NQ questions and need details about what each of the files and data instances mean, which version of the Wikipedia dump it uses, etc. Please respond at your earliest convenience regard... | 46 | `wiki_dpr` details for Open Domain Question Answering tasks
Hey guys!
Thanks for creating the `wiki_dpr` dataset!
I am currently trying to use the dataset for context retrieval using DPR on NQ questions and need details about what each of the files and data instances mean, which version of the Wikipedia dump it u... |
https://github.com/huggingface/datasets/issues/4490 | Use `torch.nested_tensor` for arrays of varying length in torch formatter | Currently, we return a list of Torch tensors if their shapes don't match. If they do, we consolidate them into a single Torch tensor. | Use `torch.nested_tensor` for arrays of varying length in `TorchFormatter`.
The PyTorch API of nested tensors is in the prototype stage, so wait for it to become more mature. | 24 | Use `torch.nested_tensor` for arrays of varying length in torch formatter
Use `torch.nested_tensor` for arrays of varying length in `TorchFormatter`.
The PyTorch API of nested tensors is in the prototype stage, so wait for it to become more mature.
Currently, we return a list of Torch tensors if their shapes don't m... |
https://github.com/huggingface/datasets/issues/5967 | Config name / split name lost after map with multiproc | This must be due to DatasetInfo.from_merge which drops them and is used in `concatenate_datasets`.
And you're experiencing this issue because multiprocessing does concatenate the resulting datasets from each process.
Maybe they should be kept if all the subdatasets share the same values for config_name and split | ### Describe the bug
Performing a `.map` method on a dataset loses it's config name / split name only if run with multiproc
### Steps to reproduce the bug
```python
from datasets import Audio, load_dataset
from transformers import AutoFeatureExtractor
import numpy as np
# load dummy dataset
libri = load_datas... | 46 | Config name / split name lost after map with multiproc
### Describe the bug
Performing a `.map` method on a dataset loses it's config name / split name only if run with multiproc
### Steps to reproduce the bug
```python
from datasets import Audio, load_dataset
from transformers import AutoFeatureExtractor
import ... |
https://github.com/huggingface/datasets/issues/6490 | `load_dataset(...,save_infos=True)` not working without loading script | Also, once the README.md exists in the python environment it is used when loading another dataset in the same format (e.g. json) since it always resolves the path to the same directory.
The consequence here is any other dataset won't load because of infos mismatch.
To reproduce this aspect:
1. Do a `load_datasets(..... | ### Describe the bug
It seems that saving a dataset infos back into the card file is not working for datasets without a loading script.
After tracking the problem a bit it looks like saving the infos uses `Builder.get_imported_module_dir()` as its destination directory.
Internally this is a call to `inspect.getfil... | 81 | `load_dataset(...,save_infos=True)` not working without loading script
### Describe the bug
It seems that saving a dataset infos back into the card file is not working for datasets without a loading script.
After tracking the problem a bit it looks like saving the infos uses `Builder.get_imported_module_dir()` as i... |
https://github.com/huggingface/datasets/issues/6579 | Unable to load `eli5` dataset with streaming | Hi @haok1402, I have created an issue in the Discussion tab of the corresponding dataset: https://huggingface.co/datasets/eli5/discussions/7
Let's continue the discussion there! | ### Describe the bug
Unable to load `eli5` dataset with streaming.
### Steps to reproduce the bug
This fails with FileNotFoundError: https://files.pushshift.io/reddit/submissions
```
from datasets import load_dataset
load_dataset("eli5", streaming=True)
```
This works correctly.
```
from datasets import lo... | 21 | Unable to load `eli5` dataset with streaming
### Describe the bug
Unable to load `eli5` dataset with streaming.
### Steps to reproduce the bug
This fails with FileNotFoundError: https://files.pushshift.io/reddit/submissions
```
from datasets import load_dataset
load_dataset("eli5", streaming=True)
```
This w... |
https://github.com/huggingface/datasets/issues/6114 | Cache not being used when loading commonvoice 8.0.0 | You can avoid this by using the `revision` parameter in `load_dataset` to always force downloading a specific commit (if not specified it defaults to HEAD, hence the redownload). | ### Describe the bug
I have commonvoice 8.0.0 downloaded in `~/.cache/huggingface/datasets/mozilla-foundation___common_voice_8_0/en/8.0.0/b2f8b72f8f30b2e98c41ccf855954d9e35a5fa498c43332df198534ff9797a4a`. The folder contains all the arrow files etc, and was used as the cached version last time I touched the ec2 ins... | 28 | Cache not being used when loading commonvoice 8.0.0
### Describe the bug
I have commonvoice 8.0.0 downloaded in `~/.cache/huggingface/datasets/mozilla-foundation___common_voice_8_0/en/8.0.0/b2f8b72f8f30b2e98c41ccf855954d9e35a5fa498c43332df198534ff9797a4a`. The folder contains all the arrow files etc, and was used a... |
https://github.com/huggingface/datasets/issues/6114 | Cache not being used when loading commonvoice 8.0.0 | Thanks @mariosasko this works well, looks like I should have read the documentation a bit more carefully.
It is still a bit confusing which hash I should provide: passing `revision = c8fd66e85f086e3abb11eeee55b1737a3d1e8487` from https://huggingface.co/datasets/mozilla-foundation/common_voice_8_0/commits/main cau... | ### Describe the bug
I have commonvoice 8.0.0 downloaded in `~/.cache/huggingface/datasets/mozilla-foundation___common_voice_8_0/en/8.0.0/b2f8b72f8f30b2e98c41ccf855954d9e35a5fa498c43332df198534ff9797a4a`. The folder contains all the arrow files etc, and was used as the cached version last time I touched the ec2 ins... | 59 | Cache not being used when loading commonvoice 8.0.0
### Describe the bug
I have commonvoice 8.0.0 downloaded in `~/.cache/huggingface/datasets/mozilla-foundation___common_voice_8_0/en/8.0.0/b2f8b72f8f30b2e98c41ccf855954d9e35a5fa498c43332df198534ff9797a4a`. The folder contains all the arrow files etc, and was used a... |
https://github.com/huggingface/datasets/issues/6748 | Strange slicing behavior | As explained in the [docs](https://huggingface.co/docs/datasets/v2.18.0/en/access#slicing), slicing a `Dataset` returns a dictionary that maps its column names to their values. So, `len(dataset[:300])=2` is expected, assuming your dataset has 2 columns (the returned dict has 2 keys, but each value in the dict has 300 i... | ### Describe the bug
I have loaded a dataset, and then slice first 300 samples using `:` ops, however, the resulting dataset is not expected, as the output below:
```bash
len(dataset)=1050324
len(dataset[:300])=2
len(dataset[0:300])=2
len(dataset.select(range(300)))=300
```
### Steps to reproduce the bug
loa... | 45 | Strange slicing behavior
### Describe the bug
I have loaded a dataset, and then slice first 300 samples using `:` ops, however, the resulting dataset is not expected, as the output below:
```bash
len(dataset)=1050324
len(dataset[:300])=2
len(dataset[0:300])=2
len(dataset.select(range(300)))=300
```
### Steps ... |
https://github.com/huggingface/datasets/issues/6657 | Release not pushed to conda channel | I can't fix this issue because I do not appear as a team member of the huggingface datasets project: https://anaconda.org/huggingface/datasets
@lhoestq could you please add `datasets` team members to the corresponding Anaconda project?
Once this done, I could recreate and update the Anaconda token, as mentioned a... | ### Describe the bug
The github actions step to publish the release 2.17.0 to conda channel has failed due to expired token. Can some one please update the anaconda token rerun the failed action? @albertvillanova ?
![image](https://github.com/huggingface/datasets/assets/7138162/1b56ad3d-7643-4778-9cce-4bf531717700... | 54 | Release not pushed to conda channel
### Describe the bug
The github actions step to publish the release 2.17.0 to conda channel has failed due to expired token. Can some one please update the anaconda token rerun the failed action? @albertvillanova ?
![image](https://github.com/huggingface/datasets/assets/7138162/... |
https://github.com/huggingface/datasets/issues/6240 | Dataloader stuck on multiple GPUs | What type of dataset are you using in this script? `torch.utils.data.Dataset` or `datasets.Dataset`? Please share the `datasets` package version if it's the latter. Otherwise, it's better to move this issue to the `accelerate` repo. | ### Describe the bug
I am trying to get CLIP to fine-tuning with my code.
When I tried to run it on multiple GPUs using accelerate, I encountered the following phenomenon.
- Validation dataloader stuck in 2nd epoch only on multi-GPU
Specifically, when the "for inputs in valid_loader:" process is finished, it does... | 34 | Dataloader stuck on multiple GPUs
### Describe the bug
I am trying to get CLIP to fine-tuning with my code.
When I tried to run it on multiple GPUs using accelerate, I encountered the following phenomenon.
- Validation dataloader stuck in 2nd epoch only on multi-GPU
Specifically, when the "for inputs in valid_loa... |
https://github.com/huggingface/datasets/issues/6240 | Dataloader stuck on multiple GPUs | Very sorry, I thought I had a repo in `accelerate!`
I will close this issue and repo the issue in the appropriate place. | ### Describe the bug
I am trying to get CLIP to fine-tuning with my code.
When I tried to run it on multiple GPUs using accelerate, I encountered the following phenomenon.
- Validation dataloader stuck in 2nd epoch only on multi-GPU
Specifically, when the "for inputs in valid_loader:" process is finished, it does... | 23 | Dataloader stuck on multiple GPUs
### Describe the bug
I am trying to get CLIP to fine-tuning with my code.
When I tried to run it on multiple GPUs using accelerate, I encountered the following phenomenon.
- Validation dataloader stuck in 2nd epoch only on multi-GPU
Specifically, when the "for inputs in valid_loa... |
https://github.com/huggingface/datasets/issues/5148 | Cannot find the rvl_cdip dataset | Hi, @santule.
We have transferred all dataset scripts from GitHub to the Hugging Face Hub: https://huggingface.co/datasets
- Concretely, you have "rvl_cdip" here: https://huggingface.co/datasets/rvl_cdip
To be able to load them, you should update your `datasets` library:
```
pip install -U datasets
``` | Hi,
I am trying to use load_dataset to load the official "rvl_cdip" dataset but getting an error.
dataset = load_dataset("rvl_cdip")
Couldn't find 'rvl_cdip' on the Hugging Face Hub either: FileNotFoundError: Couldn't find the file at https://raw.githubusercontent.com/huggingface/datasets/master/datasets/rvl_cdi... | 41 | Cannot find the rvl_cdip dataset
Hi,
I am trying to use load_dataset to load the official "rvl_cdip" dataset but getting an error.
dataset = load_dataset("rvl_cdip")
Couldn't find 'rvl_cdip' on the Hugging Face Hub either: FileNotFoundError: Couldn't find the file at https://raw.githubusercontent.com/huggingface... |
https://github.com/huggingface/datasets/issues/7936 | _add_retries_to_file_obj_read_method makes file_obj invalid for pyarrow | hmm not sure how to fix this, I believe `file_obj.__getattr__ = lambda _, attr: getattr(orig_file_obj, attr)` would make all the methods point to the original file_obj | ### Describe the bug
I'm trying to use `load_dataset` to construct a dataset that read parquet data on HDFS streamingly, like
```python
ds = load_dataset(
"parquet",
data_files={
"train": "hdfs://xxx/train*.parquet",
"test": "hdfs://xxx/test*.parquet"
},
streaming=True,
)
```
I encounte... | 26 | _add_retries_to_file_obj_read_method makes file_obj invalid for pyarrow
### Describe the bug
I'm trying to use `load_dataset` to construct a dataset that read parquet data on HDFS streamingly, like
```python
ds = load_dataset(
"parquet",
data_files={
"train": "hdfs://xxx/train*.parquet",
"test"... |
https://github.com/huggingface/datasets/issues/7936 | _add_retries_to_file_obj_read_method makes file_obj invalid for pyarrow | > hmm not sure how to fix this, I believe `file_obj.__getattr__ = lambda _, attr: getattr(orig_file_obj, attr)` would make all the methods point to the original file_obj
Could you verify by executing
```python
from datasets.utils.file_utils import xopen
f = xopen('hdfs://xxxx.parquet', 'rb')
f.readable()
```
If it's i... | ### Describe the bug
I'm trying to use `load_dataset` to construct a dataset that read parquet data on HDFS streamingly, like
```python
ds = load_dataset(
"parquet",
data_files={
"train": "hdfs://xxx/train*.parquet",
"test": "hdfs://xxx/test*.parquet"
},
streaming=True,
)
```
I encounte... | 58 | _add_retries_to_file_obj_read_method makes file_obj invalid for pyarrow
### Describe the bug
I'm trying to use `load_dataset` to construct a dataset that read parquet data on HDFS streamingly, like
```python
ds = load_dataset(
"parquet",
data_files={
"train": "hdfs://xxx/train*.parquet",
"test"... |
https://github.com/huggingface/datasets/issues/7936 | _add_retries_to_file_obj_read_method makes file_obj invalid for pyarrow | Just found the issue and merged a quick fix, feel free to install `datasets` from source and let me know if it works ! | ### Describe the bug
I'm trying to use `load_dataset` to construct a dataset that read parquet data on HDFS streamingly, like
```python
ds = load_dataset(
"parquet",
data_files={
"train": "hdfs://xxx/train*.parquet",
"test": "hdfs://xxx/test*.parquet"
},
streaming=True,
)
```
I encounte... | 24 | _add_retries_to_file_obj_read_method makes file_obj invalid for pyarrow
### Describe the bug
I'm trying to use `load_dataset` to construct a dataset that read parquet data on HDFS streamingly, like
```python
ds = load_dataset(
"parquet",
data_files={
"train": "hdfs://xxx/train*.parquet",
"test"... |
https://github.com/huggingface/datasets/issues/7936 | _add_retries_to_file_obj_read_method makes file_obj invalid for pyarrow | > Just found the issue and merged a quick fix, feel free to install `datasets` from source and let me know if it works !
It still not working 🥹
<img width="1216" height="348" alt="Image" src="https://github.com/user-attachments/assets/a68e8f3d-2491-4616-9777-951c02c88580" />
<img width="1780" height="962" alt="Imag... | ### Describe the bug
I'm trying to use `load_dataset` to construct a dataset that read parquet data on HDFS streamingly, like
```python
ds = load_dataset(
"parquet",
data_files={
"train": "hdfs://xxx/train*.parquet",
"test": "hdfs://xxx/test*.parquet"
},
streaming=True,
)
```
I encounte... | 42 | _add_retries_to_file_obj_read_method makes file_obj invalid for pyarrow
### Describe the bug
I'm trying to use `load_dataset` to construct a dataset that read parquet data on HDFS streamingly, like
```python
ds = load_dataset(
"parquet",
data_files={
"train": "hdfs://xxx/train*.parquet",
"test"... |
https://github.com/huggingface/datasets/issues/7936 | _add_retries_to_file_obj_read_method makes file_obj invalid for pyarrow | Arf sorry ! I opened https://github.com/huggingface/datasets/pull/7942, hopefully it's alright now ^^' feel free to try it out | ### Describe the bug
I'm trying to use `load_dataset` to construct a dataset that read parquet data on HDFS streamingly, like
```python
ds = load_dataset(
"parquet",
data_files={
"train": "hdfs://xxx/train*.parquet",
"test": "hdfs://xxx/test*.parquet"
},
streaming=True,
)
```
I encounte... | 17 | _add_retries_to_file_obj_read_method makes file_obj invalid for pyarrow
### Describe the bug
I'm trying to use `load_dataset` to construct a dataset that read parquet data on HDFS streamingly, like
```python
ds = load_dataset(
"parquet",
data_files={
"train": "hdfs://xxx/train*.parquet",
"test"... |
https://github.com/huggingface/datasets/issues/7687 | Datasets keeps rebuilding the dataset every time i call the python script | here is the code to load the dataset form the cache:
```python
s = load_dataset('databricks/databricks-dolly-15k')['train']
```
if you pass the location of a local directory it will create a new cache based on that directory content | ### Describe the bug
Every time it runs, somehow, samples increase.
This can cause a 12mb dataset to have other built versions of 400 mbs+
<img width="363" height="481" alt="Image" src="https://github.com/user-attachments/assets/766ce958-bd2b-41bc-b950-86710259bfdc" />
### Steps to reproduce the bug
`from datasets... | 36 | Datasets keeps rebuilding the dataset every time i call the python script
### Describe the bug
Every time it runs, somehow, samples increase.
This can cause a 12mb dataset to have other built versions of 400 mbs+
<img width="363" height="481" alt="Image" src="https://github.com/user-attachments/assets/766ce958-bd2b-4... |
https://github.com/huggingface/datasets/issues/4900 | Dataset Viewer issue for asaxena1990/Dummy_dataset | Seems to be linked to the use of the undocumented `_resolve_features` method in the dataset viewer backend:
```
>>> from datasets import load_dataset
>>> dataset = load_dataset("asaxena1990/Dummy_dataset", name="asaxena1990--Dummy_dataset", split="train", streaming=True)
Using custom data configuration asaxena199... | ### Link
_No response_
### Description
_No response_
### Owner
_No response_ | 214 | Dataset Viewer issue for asaxena1990/Dummy_dataset
### Link
_No response_
### Description
_No response_
### Owner
_No response_
Seems to be linked to the use of the undocumented `_resolve_features` method in the dataset viewer backend:
```
>>> from datasets import load_dataset
>>> dataset = load_dataset("asax... |
https://github.com/huggingface/datasets/issues/4900 | Dataset Viewer issue for asaxena1990/Dummy_dataset | Hi ! JSON files containing a list of object are not supported yet, you can use JSON Lines files instead in the meantime
```json
{"text": "can I know this?", "intent": "Know", "type": "Test"}
{"text": "can I know this?", "intent": "Know", "type": "Test"}
...
``` | ### Link
_No response_
### Description
_No response_
### Owner
_No response_ | 44 | Dataset Viewer issue for asaxena1990/Dummy_dataset
### Link
_No response_
### Description
_No response_
### Owner
_No response_
Hi ! JSON files containing a list of object are not supported yet, you can use JSON Lines files instead in the meantime
```json
{"text": "can I know this?", "intent": "Know", "type": "T... |
https://github.com/huggingface/datasets/issues/6410 | Datasets does not load HuggingFace Repository properly | Hi! You can avoid the error by requesting only the `jsonl` files. `dataset = load_dataset("ai4privacy/pii-masking-200k", data_files=["*.jsonl"])`.
Our data file inference does not filter out (incompatible) `json` files because `json` and `jsonl` use the same builder. Still, I think the inference should differentiat... | ### Describe the bug
Dear Datasets team,
We just have published a dataset on Huggingface:
https://huggingface.co/ai4privacy
However, when trying to read it using the Dataset library we get an error. As I understand jsonl files are compatible, could you please clarify how we can solve the issue? Please let me ... | 60 | Datasets does not load HuggingFace Repository properly
### Describe the bug
Dear Datasets team,
We just have published a dataset on Huggingface:
https://huggingface.co/ai4privacy
However, when trying to read it using the Dataset library we get an error. As I understand jsonl files are compatible, could you pl... |
https://github.com/huggingface/datasets/issues/6410 | Datasets does not load HuggingFace Repository properly | Raising an error if there is a mix of json and jsonl in the builder makes sense yea | ### Describe the bug
Dear Datasets team,
We just have published a dataset on Huggingface:
https://huggingface.co/ai4privacy
However, when trying to read it using the Dataset library we get an error. As I understand jsonl files are compatible, could you please clarify how we can solve the issue? Please let me ... | 18 | Datasets does not load HuggingFace Repository properly
### Describe the bug
Dear Datasets team,
We just have published a dataset on Huggingface:
https://huggingface.co/ai4privacy
However, when trying to read it using the Dataset library we get an error. As I understand jsonl files are compatible, could you pl... |
https://github.com/huggingface/datasets/issues/4426 | Add loading variable number of columns for different splits | Hi! Indeed the column is missing, but you shouldn't get an error? Have you made some modifications (locally) to the loading script? I've opened a PR to add the missing columns to the script. | **Is your feature request related to a problem? Please describe.**
The original dataset `blended_skill_talk` consists of different sets of columns for the different splits: (test/valid) splits have additional data column `label_candidates` that the (train) doesn't have.
When loading such data, an exception occurs at ... | 34 | Add loading variable number of columns for different splits
**Is your feature request related to a problem? Please describe.**
The original dataset `blended_skill_talk` consists of different sets of columns for the different splits: (test/valid) splits have additional data column `label_candidates` that the (train) do... |
https://github.com/huggingface/datasets/issues/6460 | jsonlines files don't load with `load_dataset` | Hi @serenalotreck,
We use Apache Arrow `pyarrow` to read jsonlines and it throws an error when trying to load your data files:
```python
In [1]: import pyarrow as pa
In [2]: data = pa.json.read_json("train.jsonl")
---------------------------------------------------------------------------
ArrowInvalid ... | ### Describe the bug
While [the docs](https://huggingface.co/docs/datasets/upload_dataset#upload-dataset) seem to state that `.jsonl` is a supported extension for `datasets`, loading the dataset results in a `JSONDecodeError`.
### Steps to reproduce the bug
Code:
```
from datasets import load_dataset
dset = load_... | 171 | jsonlines files don't load with `load_dataset`
### Describe the bug
While [the docs](https://huggingface.co/docs/datasets/upload_dataset#upload-dataset) seem to state that `.jsonl` is a supported extension for `datasets`, loading the dataset results in a `JSONDecodeError`.
### Steps to reproduce the bug
Code:
```
... |
https://github.com/huggingface/datasets/issues/6460 | jsonlines files don't load with `load_dataset` | Hi @albertvillanova,
Thanks for the explanation! To the best of my knowledge, arrays in a json [can contain multiple data types](https://docs.actian.com/ingres/11.2/index.html#page/SQLRef/Data_Types.htm), and I'm able to read these files with the `jsonlines` package. Is the requirement for arrays to only have one d... | ### Describe the bug
While [the docs](https://huggingface.co/docs/datasets/upload_dataset#upload-dataset) seem to state that `.jsonl` is a supported extension for `datasets`, loading the dataset results in a `JSONDecodeError`.
### Steps to reproduce the bug
Code:
```
from datasets import load_dataset
dset = load_... | 85 | jsonlines files don't load with `load_dataset`
### Describe the bug
While [the docs](https://huggingface.co/docs/datasets/upload_dataset#upload-dataset) seem to state that `.jsonl` is a supported extension for `datasets`, loading the dataset results in a `JSONDecodeError`.
### Steps to reproduce the bug
Code:
```
... |
https://github.com/huggingface/datasets/issues/6460 | jsonlines files don't load with `load_dataset` | Hi again @serenalotreck,
Yes, it is specific to PyArrow: as far as I know, Arrow does not support arrays with multiple data types.
As this is related specifically to your dataset structure (and not the `datasets` library), I have created a dedicated issue in your dataset page: https://huggingface.co/datasets/slot... | ### Describe the bug
While [the docs](https://huggingface.co/docs/datasets/upload_dataset#upload-dataset) seem to state that `.jsonl` is a supported extension for `datasets`, loading the dataset results in a `JSONDecodeError`.
### Steps to reproduce the bug
Code:
```
from datasets import load_dataset
dset = load_... | 54 | jsonlines files don't load with `load_dataset`
### Describe the bug
While [the docs](https://huggingface.co/docs/datasets/upload_dataset#upload-dataset) seem to state that `.jsonl` is a supported extension for `datasets`, loading the dataset results in a `JSONDecodeError`.
### Steps to reproduce the bug
Code:
```
... |
https://github.com/huggingface/datasets/issues/6460 | jsonlines files don't load with `load_dataset` | > Hi again @serenalotreck,
>
> Yes, it is specific to PyArrow: as far as I know, Arrow does not support arrays with multiple data types.
>
> As this is related specifically to your dataset structure (and not the `datasets` library), I have created a dedicated issue in your dataset page: https://huggingface.co/dat... | ### Describe the bug
While [the docs](https://huggingface.co/docs/datasets/upload_dataset#upload-dataset) seem to state that `.jsonl` is a supported extension for `datasets`, loading the dataset results in a `JSONDecodeError`.
### Steps to reproduce the bug
Code:
```
from datasets import load_dataset
dset = load_... | 116 | jsonlines files don't load with `load_dataset`
### Describe the bug
While [the docs](https://huggingface.co/docs/datasets/upload_dataset#upload-dataset) seem to state that `.jsonl` is a supported extension for `datasets`, loading the dataset results in a `JSONDecodeError`.
### Steps to reproduce the bug
Code:
```
... |
https://github.com/huggingface/datasets/issues/3786 | Bug downloading Virus scan warning page from Google Drive URLs | Once the PR merged into master and until our next `datasets` library release, you can get this fix by installing our library from the GitHub master branch:
```shell
pip install git+https://github.com/huggingface/datasets#egg=datasets
```
Then, if you had previously tried to load the data and got the checksum error,... | ## Describe the bug
Recently, some issues were reported with URLs from Google Drive, where we were downloading the Virus scan warning page instead of the data file itself.
See:
- #3758
- #3773
- #3784
| 77 | Bug downloading Virus scan warning page from Google Drive URLs
## Describe the bug
Recently, some issues were reported with URLs from Google Drive, where we were downloading the Virus scan warning page instead of the data file itself.
See:
- #3758
- #3773
- #3784
Once the PR merged into master and until our n... |
https://github.com/huggingface/datasets/issues/4784 | Add Multiface dataset | Hey @nandwalritik! Thanks for offering to help!
This dataset might be somewhat complex and I'm concerned about it being 65 TB, which would be quite expensive to host. @lhoestq @mariosasko I would love your input if you think it's worth adding this dataset. | ## Adding a Dataset
- **Name:** Multiface dataset
- **Description:** f high quality recordings of the faces of 13 identities, each captured in a multi-view capture stage performing various facial expressions. An average of 12,200 (v1 scripts) to 23,000 (v2 scripts) frames per subject with capture rate at 30 fps
- **... | 43 | Add Multiface dataset
## Adding a Dataset
- **Name:** Multiface dataset
- **Description:** f high quality recordings of the faces of 13 identities, each captured in a multi-view capture stage performing various facial expressions. An average of 12,200 (v1 scripts) to 23,000 (v2 scripts) frames per subject with captur... |
https://github.com/huggingface/datasets/issues/4784 | Add Multiface dataset | Thanks for proposing this interesting dataset, @osanseviero.
Please note that the data files are already hosted in a third-party server: e.g. the index of data files for entity "6795937" is at https://fb-baas-f32eacb9-8abb-11eb-b2b8-4857dd089e15.s3.amazonaws.com/MugsyDataRelease/v0.0/identities/6795937/index.html
... | ## Adding a Dataset
- **Name:** Multiface dataset
- **Description:** f high quality recordings of the faces of 13 identities, each captured in a multi-view capture stage performing various facial expressions. An average of 12,200 (v1 scripts) to 23,000 (v2 scripts) frames per subject with capture rate at 30 fps
- **... | 67 | Add Multiface dataset
## Adding a Dataset
- **Name:** Multiface dataset
- **Description:** f high quality recordings of the faces of 13 identities, each captured in a multi-view capture stage performing various facial expressions. An average of 12,200 (v1 scripts) to 23,000 (v2 scripts) frames per subject with captur... |
https://github.com/huggingface/datasets/issues/5878 | Prefetching for IterableDataset | Very cool! Do you have a link to the code that you're using to eagerly fetch the data? Would also be interested in hacking around something here for pre-fetching iterable datasets | ### Feature request
Add support for prefetching the next n batches through iterabledataset to reduce batch loading bottleneck in training loop.
### Motivation
The primary motivation behind this is to use hardware accelerators alongside a streaming dataset. This is required when you are in a low ram or low disk... | 31 | Prefetching for IterableDataset
### Feature request
Add support for prefetching the next n batches through iterabledataset to reduce batch loading bottleneck in training loop.
### Motivation
The primary motivation behind this is to use hardware accelerators alongside a streaming dataset. This is required when ... |
https://github.com/huggingface/datasets/issues/5878 | Prefetching for IterableDataset | I ended up just switching back to the pytorch dataloader and using it's multiprocessing functionality to handle this :(. I'm just not that familiar with python multiprocessing to get something to work in jupyter (kept having weird behaviors happening with zombies living after the cell finished). | ### Feature request
Add support for prefetching the next n batches through iterabledataset to reduce batch loading bottleneck in training loop.
### Motivation
The primary motivation behind this is to use hardware accelerators alongside a streaming dataset. This is required when you are in a low ram or low disk... | 46 | Prefetching for IterableDataset
### Feature request
Add support for prefetching the next n batches through iterabledataset to reduce batch loading bottleneck in training loop.
### Motivation
The primary motivation behind this is to use hardware accelerators alongside a streaming dataset. This is required when ... |
https://github.com/huggingface/datasets/issues/5878 | Prefetching for IterableDataset | Ultimately settled on using webdataset to circumvent huggingface datasets entirely. Would definitely switch back if: https://github.com/huggingface/datasets/issues/5337 was resolved. | ### Feature request
Add support for prefetching the next n batches through iterabledataset to reduce batch loading bottleneck in training loop.
### Motivation
The primary motivation behind this is to use hardware accelerators alongside a streaming dataset. This is required when you are in a low ram or low disk... | 18 | Prefetching for IterableDataset
### Feature request
Add support for prefetching the next n batches through iterabledataset to reduce batch loading bottleneck in training loop.
### Motivation
The primary motivation behind this is to use hardware accelerators alongside a streaming dataset. This is required when ... |
https://github.com/huggingface/datasets/issues/5878 | Prefetching for IterableDataset | Hi! You can combine `datasets` with `torchdata` to prefetch `IterableDataset`'s samples:
```python
from datasets import load_dataset
from torchdata.datapipes.iter import IterableWrapper, HuggingFaceHubReader
from torch.utils.data import DataLoader
ds = load_dataset("sst", split="train", streaming=True)
# proces... | ### Feature request
Add support for prefetching the next n batches through iterabledataset to reduce batch loading bottleneck in training loop.
### Motivation
The primary motivation behind this is to use hardware accelerators alongside a streaming dataset. This is required when you are in a low ram or low disk... | 47 | Prefetching for IterableDataset
### Feature request
Add support for prefetching the next n batches through iterabledataset to reduce batch loading bottleneck in training loop.
### Motivation
The primary motivation behind this is to use hardware accelerators alongside a streaming dataset. This is required when ... |
https://github.com/huggingface/datasets/issues/5878 | Prefetching for IterableDataset | Hey @mariosasko! Thanks for the tip here - introducing prefetch with `torchdata` didn't really give me any performance difference vs not prefetching, but the concept is definitely one that could be really beneficial. Are there any benchmarks that show the speed-up you can get with `torchdata`'s prefetch just for compar... | ### Feature request
Add support for prefetching the next n batches through iterabledataset to reduce batch loading bottleneck in training loop.
### Motivation
The primary motivation behind this is to use hardware accelerators alongside a streaming dataset. This is required when you are in a low ram or low disk... | 50 | Prefetching for IterableDataset
### Feature request
Add support for prefetching the next n batches through iterabledataset to reduce batch loading bottleneck in training loop.
### Motivation
The primary motivation behind this is to use hardware accelerators alongside a streaming dataset. This is required when ... |
https://github.com/huggingface/datasets/issues/5878 | Prefetching for IterableDataset | I want to perform mapping() in advance by prefetching within the IterableDataset. Are there any recent updates? | ### Feature request
Add support for prefetching the next n batches through iterabledataset to reduce batch loading bottleneck in training loop.
### Motivation
The primary motivation behind this is to use hardware accelerators alongside a streaming dataset. This is required when you are in a low ram or low disk... | 17 | Prefetching for IterableDataset
### Feature request
Add support for prefetching the next n batches through iterabledataset to reduce batch loading bottleneck in training loop.
### Motivation
The primary motivation behind this is to use hardware accelerators alongside a streaming dataset. This is required when ... |
https://github.com/huggingface/datasets/issues/5878 | Prefetching for IterableDataset | > Ultimately settled on using webdataset to circumvent huggingface datasets entirely. Would definitely switch back if: [#5337](https://github.com/huggingface/datasets/issues/5337) was resolved.
The HF dataset now supports the webdataset format. On a custom dataset with multiple .tar files that is on a single HDD. The ... | ### Feature request
Add support for prefetching the next n batches through iterabledataset to reduce batch loading bottleneck in training loop.
### Motivation
The primary motivation behind this is to use hardware accelerators alongside a streaming dataset. This is required when you are in a low ram or low disk... | 105 | Prefetching for IterableDataset
### Feature request
Add support for prefetching the next n batches through iterabledataset to reduce batch loading bottleneck in training loop.
### Motivation
The primary motivation behind this is to use hardware accelerators alongside a streaming dataset. This is required when ... |
https://github.com/huggingface/datasets/issues/5878 | Prefetching for IterableDataset | > > Ultimately settled on using webdataset to circumvent huggingface datasets entirely. Would definitely switch back if: [#5337](https://github.com/huggingface/datasets/issues/5337) was resolved.
>
> The HF dataset now supports the webdataset format. On a custom dataset with multiple .tar files that is on a single HDD... | ### Feature request
Add support for prefetching the next n batches through iterabledataset to reduce batch loading bottleneck in training loop.
### Motivation
The primary motivation behind this is to use hardware accelerators alongside a streaming dataset. This is required when you are in a low ram or low disk... | 225 | Prefetching for IterableDataset
### Feature request
Add support for prefetching the next n batches through iterabledataset to reduce batch loading bottleneck in training loop.
### Motivation
The primary motivation behind this is to use hardware accelerators alongside a streaming dataset. This is required when ... |
https://github.com/huggingface/datasets/issues/5878 | Prefetching for IterableDataset | Hi,
> I am wondering. How large the shard files should be i.e. the tar files are? What is the memory peak used -- the size of the single shard file?
I forgot the exact recommendation, you shouldn't worry too much about the number of tar files, just making sure the files in tar are chunked reasonably to avoid overhead ... | ### Feature request
Add support for prefetching the next n batches through iterabledataset to reduce batch loading bottleneck in training loop.
### Motivation
The primary motivation behind this is to use hardware accelerators alongside a streaming dataset. This is required when you are in a low ram or low disk... | 234 | Prefetching for IterableDataset
### Feature request
Add support for prefetching the next n batches through iterabledataset to reduce batch loading bottleneck in training loop.
### Motivation
The primary motivation behind this is to use hardware accelerators alongside a streaming dataset. This is required when ... |
https://github.com/huggingface/datasets/issues/6897 | datasets template guide :: issue in documentation YAML | Hello, @bghira.
Thanks for reporting. Please note that the text originating the error is not supposed to be valid YAML: it contains the instructions to generate the actual YAML content, that should replace the instructions comment.
On the other hand, I agree that it is not nice to have that YAML error message at ... | ### Describe the bug
There is a YAML error at the top of the page, and I don't think it's supposed to be there
### Steps to reproduce the bug
1. Browse to [this tutorial document](https://github.com/huggingface/datasets/blob/main/templates/README_guide.md)
2. Observe a big red error at the top
3. The rest of the ... | 74 | datasets template guide :: issue in documentation YAML
### Describe the bug
There is a YAML error at the top of the page, and I don't think it's supposed to be there
### Steps to reproduce the bug
1. Browse to [this tutorial document](https://github.com/huggingface/datasets/blob/main/templates/README_guide.md)
2. ... |
https://github.com/huggingface/datasets/issues/6897 | datasets template guide :: issue in documentation YAML | thanks albert! i looked at it for a while to figure it out. i think the `raw` view option is the correct way to look at it? | ### Describe the bug
There is a YAML error at the top of the page, and I don't think it's supposed to be there
### Steps to reproduce the bug
1. Browse to [this tutorial document](https://github.com/huggingface/datasets/blob/main/templates/README_guide.md)
2. Observe a big red error at the top
3. The rest of the ... | 27 | datasets template guide :: issue in documentation YAML
### Describe the bug
There is a YAML error at the top of the page, and I don't think it's supposed to be there
### Steps to reproduce the bug
1. Browse to [this tutorial document](https://github.com/huggingface/datasets/blob/main/templates/README_guide.md)
2. ... |
https://github.com/huggingface/datasets/issues/3659 | push_to_hub but preview not working | Hi @thomas-happify, please note that the preview may take some time before rendering the data.
I've seen it is already working.
I close this issue. Please feel free to reopen it if the problem arises again. | ## Dataset viewer issue for '*happifyhealth/twitter_pnn*'
**Link:** *[link to the dataset viewer page](https://huggingface.co/datasets/happifyhealth/twitter_pnn)*
I used
```
dataset.push_to_hub("happifyhealth/twitter_pnn")
```
but the preview is not working.
Am I the one who added this dataset ? Yes
| 36 | push_to_hub but preview not working
## Dataset viewer issue for '*happifyhealth/twitter_pnn*'
**Link:** *[link to the dataset viewer page](https://huggingface.co/datasets/happifyhealth/twitter_pnn)*
I used
```
dataset.push_to_hub("happifyhealth/twitter_pnn")
```
but the preview is not working.
Am I the on... |
https://github.com/huggingface/datasets/issues/4417 | how to convert a dict generator into a huggingface dataset. | Hi ! As mentioned on the [forum](https://discuss.huggingface.co/t/how-to-wrap-a-generator-with-hf-dataset/18464), the simplest for now would be to define a [dataset script](https://huggingface.co/docs/datasets/dataset_script) which can contain your generator. But we can also explore adding something like `ds = Dataset.... | ### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface dataset.
The generator contains all the samples needed for ... | 34 | how to convert a dict generator into a huggingface dataset.
### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface d... |
https://github.com/huggingface/datasets/issues/4417 | how to convert a dict generator into a huggingface dataset. | @lhoestq , hey i did as you instructed, but sadly i cannot get pass through the download_manager, as i dont have anything to download. i was skipping the ` def _split_generators(self, dl_manager):` function. but i cannot get around it. I get a `NotImplementedError: `
the following is my code for the same:
``... | ### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface dataset.
The generator contains all the samples needed for ... | 311 | how to convert a dict generator into a huggingface dataset.
### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface d... |
https://github.com/huggingface/datasets/issues/4417 | how to convert a dict generator into a huggingface dataset. | @lhoestq , just to make things clear ...
the following is my original code, thats not in the HF dataset loading script:
```
import functools
import seqio
import tensorflow as tf
import t5.data
from datasets import load_from_disk
from t5.data import postprocessors
from t5.data import preprocessors
from t... | ### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface dataset.
The generator contains all the samples needed for ... | 264 | how to convert a dict generator into a huggingface dataset.
### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface d... |
https://github.com/huggingface/datasets/issues/4417 | how to convert a dict generator into a huggingface dataset. | I like the idea of having `Dataset.from_iterable(iterable)` in the API. The only problem is that we also want to make this part cachable, which is tricky if `iterable` is a generator.
Some resources on this issue:
* https://github.com/uqfoundation/dill/issues/311
* https://stackoverflow.com/questions/7180212/why-... | ### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface dataset.
The generator contains all the samples needed for ... | 55 | how to convert a dict generator into a huggingface dataset.
### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface d... |
https://github.com/huggingface/datasets/issues/4417 | how to convert a dict generator into a huggingface dataset. | For the caching maybe we can have `Dataset.from_generator` as TF and pickle+hash the generator function (not the generator object itself) ?
And then keep `Dataset.from_iterable` fo pickable objects like lists | ### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface dataset.
The generator contains all the samples needed for ... | 30 | how to convert a dict generator into a huggingface dataset.
### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface d... |
https://github.com/huggingface/datasets/issues/4417 | how to convert a dict generator into a huggingface dataset. | @lhoestq, @mariosasko do you too have any examples where the dataset is a generator and needs to be wrapped into hf dataset ? | ### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface dataset.
The generator contains all the samples needed for ... | 23 | how to convert a dict generator into a huggingface dataset.
### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface d... |
https://github.com/huggingface/datasets/issues/4417 | how to convert a dict generator into a huggingface dataset. | @lhoestq, following to my previous question ... what possibly could be done in this [link1](https://github.com/huggingface/datasets/issues/4417#issuecomment-1146627404) [link2](https://github.com/huggingface/datasets/issues/4417#issuecomment-1146627593) case? do you have any ideas? | ### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface dataset.
The generator contains all the samples needed for ... | 22 | how to convert a dict generator into a huggingface dataset.
### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface d... |
https://github.com/huggingface/datasets/issues/4417 | how to convert a dict generator into a huggingface dataset. | @lhoestq +1 for the `Dataset.from_generator` idea.
Having thought about it, let's avoid adding `Dataset.from_iterable` to the API since dictionaries are technically iteralbles ("iterable" is a broad term in Python), and we already provide `Dataset.from_dict`. And for lists maybe we can add `Dataset.from_list` simila... | ### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface dataset.
The generator contains all the samples needed for ... | 46 | how to convert a dict generator into a huggingface dataset.
### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface d... |
https://github.com/huggingface/datasets/issues/4417 | how to convert a dict generator into a huggingface dataset. | Hi @StephennFernandes!
To fix the issues in the copied code, rename `generate_examples` to` _generate_examples` and add one level of indentation as this is a method of `GeneratorBasedBuilder` and define `_split_generators` as follows (again as a method of `GeneratorBasedBuilder):
```python
def _split_generators(s... | ### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface dataset.
The generator contains all the samples needed for ... | 94 | how to convert a dict generator into a huggingface dataset.
### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface d... |
https://github.com/huggingface/datasets/issues/4417 | how to convert a dict generator into a huggingface dataset. | I have a problem which I think is very similar: I would like to "stream" data to a HF Array (memory-mapped) Dataset, where the final size of the dataset is unknown, but could be much larger than what fits into memory.
What I want to end up with is an Array Dataset which I can open using `Dataset.load_from_disk(dataset... | ### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface dataset.
The generator contains all the samples needed for ... | 288 | how to convert a dict generator into a huggingface dataset.
### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface d... |
https://github.com/huggingface/datasets/issues/4417 | how to convert a dict generator into a huggingface dataset. | Hi @johann-petrak! You can pass the features directly to ArrowWriter's initializer like so `ArrowWriter(..., features=features)`.
And the reason why I prefer `Dataset.from_generator` over `Dataset.from_iterable` is mentioned in one of my previous comments. | ### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface dataset.
The generator contains all the samples needed for ... | 32 | how to convert a dict generator into a huggingface dataset.
### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface d... |
https://github.com/huggingface/datasets/issues/4417 | how to convert a dict generator into a huggingface dataset. | @mariosasko so at the moment we still have to create a fake `Dataset` first and then use `ArrowWriter` to write an actual dataset? I'm using the latest version of `datasets` on pypi but my final file is always empty. Is there anything wrong with the code below?
```python
total = 0
with ArrowWriter(path=str... | ### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface dataset.
The generator contains all the samples needed for ... | 100 | how to convert a dict generator into a huggingface dataset.
### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface d... |
https://github.com/huggingface/datasets/issues/4417 | how to convert a dict generator into a huggingface dataset. | This works for me if I then (actually I also close the writer: `writer.close()`) open the Arrow file as a dataset using `ds=Dataset.from_file(final_data_path)` then `ds.save_to_disk(somedir)`. The Dataset created that way contains the expected examples. | ### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface dataset.
The generator contains all the samples needed for ... | 34 | how to convert a dict generator into a huggingface dataset.
### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface d... |
https://github.com/huggingface/datasets/issues/4417 | how to convert a dict generator into a huggingface dataset. | Oh thanks. That did the trick I believe. Shouldn't ArrowWriter have a context manager that does these operations? | ### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface dataset.
The generator contains all the samples needed for ... | 18 | how to convert a dict generator into a huggingface dataset.
### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface d... |
https://github.com/huggingface/datasets/issues/4417 | how to convert a dict generator into a huggingface dataset. | You can just use `Dataset.from_file` to get your dataset, no need to do an extra `save_to_disk` somewhere else ;) | ### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface dataset.
The generator contains all the samples needed for ... | 19 | how to convert a dict generator into a huggingface dataset.
### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface d... |
https://github.com/huggingface/datasets/issues/4417 | how to convert a dict generator into a huggingface dataset. | I was thinking that `save_to_disk` is necessary when one wants to re-use that dataset as a proper HF dataset later, no?
At least what I wanted to achieve is create a dataset that can be opened like any other local or remote dataset. | ### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface dataset.
The generator contains all the samples needed for ... | 43 | how to convert a dict generator into a huggingface dataset.
### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface d... |
https://github.com/huggingface/datasets/issues/4417 | how to convert a dict generator into a huggingface dataset. | `save_to_disk`/`load_from_disk` is indeed more general, e.g. it supports datasets that consist in several files, and saves some extra info in a dataset_info.json file (description, citation, split sizes, etc.)
If you have one single file it's fine to simply do `.from_file()` | ### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface dataset.
The generator contains all the samples needed for ... | 40 | how to convert a dict generator into a huggingface dataset.
### Link
_No response_
### Description
Hey there, I have used seqio to get a well distributed mixture of samples from multiple dataset. However the resultant output from seqio is a python generator dict, which I cannot produce back into huggingface d... |
https://github.com/huggingface/datasets/issues/7520 | Update items in the dataset without `map` | Hello!
Have you looked at `Dataset.shard`? [Docs](https://huggingface.co/docs/datasets/en/process#shard)
Using this method you could break your dataset in N shards. Apply `map` on each shard and concatenate them back. | ### Feature request
I would like to be able to update items in my dataset without affecting all rows. At least if there was a range option, I would be able to process those items, save the dataset, and then continue.
If I am supposed to split the dataset first, that is not clear, since the docs suggest that any of th... | 27 | Update items in the dataset without `map`
### Feature request
I would like to be able to update items in my dataset without affecting all rows. At least if there was a range option, I would be able to process those items, save the dataset, and then continue.
If I am supposed to split the dataset first, that is not cl... |
https://github.com/huggingface/datasets/issues/6867 | Improve performance of JSON loader | Thanks! Feel free to ping me for examples. May not respond immediately because we're all busy but would like to help. | As reported by @natolambert, loading regular JSON files with `datasets` shows poor performance.
The cause is that we use the `json` Python standard library instead of other faster libraries. See my old comment: https://github.com/huggingface/datasets/pull/2638#pullrequestreview-706983714
> There are benchmarks that... | 21 | Improve performance of JSON loader
As reported by @natolambert, loading regular JSON files with `datasets` shows poor performance.
The cause is that we use the `json` Python standard library instead of other faster libraries. See my old comment: https://github.com/huggingface/datasets/pull/2638#pullrequestreview-706... |
https://github.com/huggingface/datasets/issues/6867 | Improve performance of JSON loader | Hi @natolambert, could you please give some examples of JSON files to benchmark?
Please note that this JSON file (https://huggingface.co/datasets/allenai/reward-bench-results/blob/main/eval-set-scores/Ray2333/reward-model-Mistral-7B-instruct-Unified-Feedback.json) is not in "records" orient; instead it has the follo... | As reported by @natolambert, loading regular JSON files with `datasets` shows poor performance.
The cause is that we use the `json` Python standard library instead of other faster libraries. See my old comment: https://github.com/huggingface/datasets/pull/2638#pullrequestreview-706983714
> There are benchmarks that... | 112 | Improve performance of JSON loader
As reported by @natolambert, loading regular JSON files with `datasets` shows poor performance.
The cause is that we use the `json` Python standard library instead of other faster libraries. See my old comment: https://github.com/huggingface/datasets/pull/2638#pullrequestreview-706... |
https://github.com/huggingface/datasets/issues/6867 | Improve performance of JSON loader | We use a mix (which is a mess), here's an example with the records orient
https://huggingface.co/datasets/allenai/reward-bench-results/blob/main/best-of-n/alpaca_eval/tulu-13b/OpenAssistant/oasst-rm-2.1-pythia-1.4b-epoch-2.5.json
There are more in that folder, ~40mb maybe? | As reported by @natolambert, loading regular JSON files with `datasets` shows poor performance.
The cause is that we use the `json` Python standard library instead of other faster libraries. See my old comment: https://github.com/huggingface/datasets/pull/2638#pullrequestreview-706983714
> There are benchmarks that... | 24 | Improve performance of JSON loader
As reported by @natolambert, loading regular JSON files with `datasets` shows poor performance.
The cause is that we use the `json` Python standard library instead of other faster libraries. See my old comment: https://github.com/huggingface/datasets/pull/2638#pullrequestreview-706... |
https://github.com/huggingface/datasets/issues/6867 | Improve performance of JSON loader | @albertvillanova here's a snippet so you don't need to click
```
{
"config": "top_p=0.9;temp=1.0",
"dataset_details": "helpful_base",
"id": [
0,
0
],
"model": "allenai/tulu-2-dpo-13b",
"scores": 3.076171875
}
{
"config": "top_p=0.9;temp=1.0",
"dataset_detail... | As reported by @natolambert, loading regular JSON files with `datasets` shows poor performance.
The cause is that we use the `json` Python standard library instead of other faster libraries. See my old comment: https://github.com/huggingface/datasets/pull/2638#pullrequestreview-706983714
> There are benchmarks that... | 207 | Improve performance of JSON loader
As reported by @natolambert, loading regular JSON files with `datasets` shows poor performance.
The cause is that we use the `json` Python standard library instead of other faster libraries. See my old comment: https://github.com/huggingface/datasets/pull/2638#pullrequestreview-706... |
https://github.com/huggingface/datasets/issues/6867 | Improve performance of JSON loader | Thanks again for your feedback, @natolambert.
However, strictly speaking, the last file is not in JSON format but in kind of JSON-Lines like format (although not properly either because there are multiple newline characters within each object). Not even pandas can read that file format.
Anyway, for JSON-Lines, I ... | As reported by @natolambert, loading regular JSON files with `datasets` shows poor performance.
The cause is that we use the `json` Python standard library instead of other faster libraries. See my old comment: https://github.com/huggingface/datasets/pull/2638#pullrequestreview-706983714
> There are benchmarks that... | 104 | Improve performance of JSON loader
As reported by @natolambert, loading regular JSON files with `datasets` shows poor performance.
The cause is that we use the `json` Python standard library instead of other faster libraries. See my old comment: https://github.com/huggingface/datasets/pull/2638#pullrequestreview-706... |
https://github.com/huggingface/datasets/issues/7087 | Unable to create dataset card for Lushootseed language | Thanks for reporting.
It is weird, because the language entry is in the list. See: https://github.com/huggingface/huggingface.js/blob/98e32f0ed4ee057a596f66a1dec738e5db9643d5/packages/languages/src/languages_iso_639_3.ts#L15186-L15189
I have reported the issue:
- https://github.com/huggingface/huggingface.js/iss... | ### Feature request
While I was creating the dataset which contained all documents from the Lushootseed Wikipedia, the dataset card asked me to enter which language the dataset was in. Since Lushootseed is a critically endangered language, it was not available as one of the options. Is it possible to allow entering la... | 23 | Unable to create dataset card for Lushootseed language
### Feature request
While I was creating the dataset which contained all documents from the Lushootseed Wikipedia, the dataset card asked me to enter which language the dataset was in. Since Lushootseed is a critically endangered language, it was not available as ... |
https://github.com/huggingface/datasets/issues/7087 | Unable to create dataset card for Lushootseed language | As explained in the reported issue above, the problem only appears in the autocomplete field: you can still enter the `lut` language directly in the markdown editor window. | ### Feature request
While I was creating the dataset which contained all documents from the Lushootseed Wikipedia, the dataset card asked me to enter which language the dataset was in. Since Lushootseed is a critically endangered language, it was not available as one of the options. Is it possible to allow entering la... | 28 | Unable to create dataset card for Lushootseed language
### Feature request
While I was creating the dataset which contained all documents from the Lushootseed Wikipedia, the dataset card asked me to enter which language the dataset was in. Since Lushootseed is a critically endangered language, it was not available as ... |
https://github.com/huggingface/datasets/issues/3518 | Add PubMed Central Open Access dataset | In the framework of BigScience:
- bigscience-workshop/data_tooling#121
I have created this dataset as a community dataset: https://huggingface.co/datasets/albertvillanova/pmc_open_access
However, I was wondering that it may be more appropriate to move it under an org namespace: `pubmed_central` or `pmc`
This wa... | ## Adding a Dataset
- **Name:** PubMed Central Open Access
- **Description:** The PMC Open Access Subset includes more than 3.4 million journal articles and preprints that are made available under license terms that allow reuse.
- **Paper:** *link to the dataset paper if available*
- **Data:** https://www.ncbi.nlm.... | 64 | Add PubMed Central Open Access dataset
## Adding a Dataset
- **Name:** PubMed Central Open Access
- **Description:** The PMC Open Access Subset includes more than 3.4 million journal articles and preprints that are made available under license terms that allow reuse.
- **Paper:** *link to the dataset paper if availa... |
https://github.com/huggingface/datasets/issues/3518 | Add PubMed Central Open Access dataset | Why not ! Having them under such namespaces would also help people searching for this kind of datasets.
We can also invite people from pubmed at one point | ## Adding a Dataset
- **Name:** PubMed Central Open Access
- **Description:** The PMC Open Access Subset includes more than 3.4 million journal articles and preprints that are made available under license terms that allow reuse.
- **Paper:** *link to the dataset paper if available*
- **Data:** https://www.ncbi.nlm.... | 28 | Add PubMed Central Open Access dataset
## Adding a Dataset
- **Name:** PubMed Central Open Access
- **Description:** The PMC Open Access Subset includes more than 3.4 million journal articles and preprints that are made available under license terms that allow reuse.
- **Paper:** *link to the dataset paper if availa... |
https://github.com/huggingface/datasets/issues/7837 | mono parameter to the Audio feature is missing | Hey, we removed the misleading passage in the docstring and enabled support for `num_channels` as torchcodec does | According to the docs, there is a "mono" parameter to the Audio feature, which turns any stereo into mono. In practice the signal is not touched and the mono parameter, even though documented, does not exist.
https://github.com/huggingface/datasets/blob/41c05299348a499807432ab476e1cdc4143c8772/src/datasets/features/a... | 17 | mono parameter to the Audio feature is missing
According to the docs, there is a "mono" parameter to the Audio feature, which turns any stereo into mono. In practice the signal is not touched and the mono parameter, even though documented, does not exist.
https://github.com/huggingface/datasets/blob/41c05299348a49980... |
https://github.com/huggingface/datasets/issues/5422 | Datasets load error for saved github issues | I can confirm that the error exists!
I'm trying to read 3 parquet files locally:
```python
from datasets import load_dataset, Features, Value, ClassLabel
review_dataset = load_dataset(
"parquet",
data_files={
"train": os.path.join(sentiment_analysis_data_path, "train.parquet"),
"valida... | ### Describe the bug
Loading a previously downloaded & saved dataset as described in the HuggingFace course:
issues_dataset = load_dataset("json", data_files="issues/datasets-issues.jsonl", split="train")
Gives this error:
datasets.builder.DatasetGenerationError: An error occurred while generating the dataset... | 95 | Datasets load error for saved github issues
### Describe the bug
Loading a previously downloaded & saved dataset as described in the HuggingFace course:
issues_dataset = load_dataset("json", data_files="issues/datasets-issues.jsonl", split="train")
Gives this error:
datasets.builder.DatasetGenerationError: An... |
https://github.com/huggingface/datasets/issues/5422 | Datasets load error for saved github issues | @Extremesarova I think this is a different issue, but understand using features could be a work-around.
It seems the field `closed_at` is `null` in many cases.
I've not found a way to specify only a single feature without (succesfully) specifiying the full and quite detailed set of expected features. Using this fea... | ### Describe the bug
Loading a previously downloaded & saved dataset as described in the HuggingFace course:
issues_dataset = load_dataset("json", data_files="issues/datasets-issues.jsonl", split="train")
Gives this error:
datasets.builder.DatasetGenerationError: An error occurred while generating the dataset... | 66 | Datasets load error for saved github issues
### Describe the bug
Loading a previously downloaded & saved dataset as described in the HuggingFace course:
issues_dataset = load_dataset("json", data_files="issues/datasets-issues.jsonl", split="train")
Gives this error:
datasets.builder.DatasetGenerationError: An... |
https://github.com/huggingface/datasets/issues/5422 | Datasets load error for saved github issues | Found this when searching for the same error, looks like based on #3965 it's just an issue with the data. I found that changing `df = pd.DataFrame.from_records(all_issues)` to `df = pd.DataFrame.from_records(all_issues).dropna(axis=1, how='all').drop(['milestone'], axis=1)` from the fetch_issues function fixed the issu... | ### Describe the bug
Loading a previously downloaded & saved dataset as described in the HuggingFace course:
issues_dataset = load_dataset("json", data_files="issues/datasets-issues.jsonl", split="train")
Gives this error:
datasets.builder.DatasetGenerationError: An error occurred while generating the dataset... | 65 | Datasets load error for saved github issues
### Describe the bug
Loading a previously downloaded & saved dataset as described in the HuggingFace course:
issues_dataset = load_dataset("json", data_files="issues/datasets-issues.jsonl", split="train")
Gives this error:
datasets.builder.DatasetGenerationError: An... |
https://github.com/huggingface/datasets/issues/5422 | Datasets load error for saved github issues | I have this same issue. I saved a dataset to disk and now I can't load it. | ### Describe the bug
Loading a previously downloaded & saved dataset as described in the HuggingFace course:
issues_dataset = load_dataset("json", data_files="issues/datasets-issues.jsonl", split="train")
Gives this error:
datasets.builder.DatasetGenerationError: An error occurred while generating the dataset... | 17 | Datasets load error for saved github issues
### Describe the bug
Loading a previously downloaded & saved dataset as described in the HuggingFace course:
issues_dataset = load_dataset("json", data_files="issues/datasets-issues.jsonl", split="train")
Gives this error:
datasets.builder.DatasetGenerationError: An... |
https://github.com/huggingface/datasets/issues/5422 | Datasets load error for saved github issues | Hi @folterj , I faced same issue while creating `issues_dataset` (https://huggingface.co/learn/nlp-course/chapter5/5?fw=pt). The fix which worked for me was loading the *.jsonl file as pd.read_json and then converting it into a Dataset using datasets API.
```
import pandas as pd
df=pd.read_json("datasets-issues.json... | ### Describe the bug
Loading a previously downloaded & saved dataset as described in the HuggingFace course:
issues_dataset = load_dataset("json", data_files="issues/datasets-issues.jsonl", split="train")
Gives this error:
datasets.builder.DatasetGenerationError: An error occurred while generating the dataset... | 55 | Datasets load error for saved github issues
### Describe the bug
Loading a previously downloaded & saved dataset as described in the HuggingFace course:
issues_dataset = load_dataset("json", data_files="issues/datasets-issues.jsonl", split="train")
Gives this error:
datasets.builder.DatasetGenerationError: An... |
https://github.com/huggingface/datasets/issues/5422 | Datasets load error for saved github issues | I understand some work-around suggestions would be to not use load_dataset(), and instead using a different API function. Another alternative would be using the same function using streaming, as I had already suggested in my original post.
However, the fact remains that there is an issue in this function as reported. | ### Describe the bug
Loading a previously downloaded & saved dataset as described in the HuggingFace course:
issues_dataset = load_dataset("json", data_files="issues/datasets-issues.jsonl", split="train")
Gives this error:
datasets.builder.DatasetGenerationError: An error occurred while generating the dataset... | 51 | Datasets load error for saved github issues
### Describe the bug
Loading a previously downloaded & saved dataset as described in the HuggingFace course:
issues_dataset = load_dataset("json", data_files="issues/datasets-issues.jsonl", split="train")
Gives this error:
datasets.builder.DatasetGenerationError: An... |
https://github.com/huggingface/datasets/issues/5678 | Add support to create a Dataset from spark dataframe | if i read spark Dataframe , got an error on multi-node Spark cluster.
Did the Api (Dataset.from_spark) support Spark cluster, read dataframe and save_to_disk?
Error:
_pickle.PicklingError: Could not serialize object: RuntimeError: It appears that you are attempting to reference SparkContext from a broadcast vari... | ### Feature request
Add a new API `Dataset.from_spark` to create a Dataset from Spark DataFrame.
### Motivation
Spark is a distributed computing framework that can handle large datasets. By supporting loading Spark DataFrames directly into Hugging Face Datasets, we enable take the advantages of spark to processing t... | 87 | Add support to create a Dataset from spark dataframe
### Feature request
Add a new API `Dataset.from_spark` to create a Dataset from Spark DataFrame.
### Motivation
Spark is a distributed computing framework that can handle large datasets. By supporting loading Spark DataFrames directly into Hugging Face Datasets, w... |
https://github.com/huggingface/datasets/issues/5678 | Add support to create a Dataset from spark dataframe | Hi ! for your information we are working on some more documentation on how to use Spark with HF Datasets repositories (without the need for the `datasets` library) <s>https://github.com/huggingface/datasets/issues/5678</s>
Cc @lu-wang-dl @maddiedawson let me know what you think ! | ### Feature request
Add a new API `Dataset.from_spark` to create a Dataset from Spark DataFrame.
### Motivation
Spark is a distributed computing framework that can handle large datasets. By supporting loading Spark DataFrames directly into Hugging Face Datasets, we enable take the advantages of spark to processing t... | 39 | Add support to create a Dataset from spark dataframe
### Feature request
Add a new API `Dataset.from_spark` to create a Dataset from Spark DataFrame.
### Motivation
Spark is a distributed computing framework that can handle large datasets. By supporting loading Spark DataFrames directly into Hugging Face Datasets, w... |
https://github.com/huggingface/datasets/issues/4075 | Add CCAgT dataset | Awesome ! Let us know if you have questions or if we can help ;) I'm assigning you
PS: if possible, please try to not use Google Drive links in your dataset script, since Google Drive has download quotas and is not always reliable. | ## Adding a Dataset
- **Name:** CCAgT dataset: Images of Cervical Cells with AgNOR Stain Technique
- **Description:** The dataset contains 2540 images (1600x1200 where each pixel is 0.111μm×0.111μm) from three different slides, having at least one nucleus per image. These images are from fields belonging to a sample ... | 44 | Add CCAgT dataset
## Adding a Dataset
- **Name:** CCAgT dataset: Images of Cervical Cells with AgNOR Stain Technique
- **Description:** The dataset contains 2540 images (1600x1200 where each pixel is 0.111μm×0.111μm) from three different slides, having at least one nucleus per image. These images are from fields belo... |
https://github.com/huggingface/datasets/issues/4075 | Add CCAgT dataset | HI, I was waiting to come out in the second version to do the implementation.
- Paper: https://dx.doi.org/10.2139/ssrn.4126881
- Data: [Data mendelay](http://doi.org/10.17632/wg4bpm33hj.2) | ## Adding a Dataset
- **Name:** CCAgT dataset: Images of Cervical Cells with AgNOR Stain Technique
- **Description:** The dataset contains 2540 images (1600x1200 where each pixel is 0.111μm×0.111μm) from three different slides, having at least one nucleus per image. These images are from fields belonging to a sample ... | 22 | Add CCAgT dataset
## Adding a Dataset
- **Name:** CCAgT dataset: Images of Cervical Cells with AgNOR Stain Technique
- **Description:** The dataset contains 2540 images (1600x1200 where each pixel is 0.111μm×0.111μm) from three different slides, having at least one nucleus per image. These images are from fields belo... |
https://github.com/huggingface/datasets/issues/3973 | ConnectionError and SSLError | Hi ! You can download the `oscar.py` file from this repository at `/datasets/oscar/oscar.py`.
Then you can load the dataset by passing the local path to `oscar.py` to `load_dataset`:
```python
load_dataset("path/to/oscar.py", "unshuffled_deduplicated_it")
``` | code
```
from datasets import load_dataset
dataset = load_dataset('oscar', 'unshuffled_deduplicated_it')
```
bug report
```
---------------------------------------------------------------------------
ConnectionError Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_2978... | 32 | ConnectionError and SSLError
code
```
from datasets import load_dataset
dataset = load_dataset('oscar', 'unshuffled_deduplicated_it')
```
bug report
```
---------------------------------------------------------------------------
ConnectionError Traceback (most recent call last)
~\App... |
https://github.com/huggingface/datasets/issues/3973 | ConnectionError and SSLError | it works,but another error occurs.
```
ConnectionError: Couldn't reach https://s3.amazonaws.com/datasets.huggingface.co/oscar/1.0/unshuffled/deduplicated/it/it_sha256.txt (SSLError(MaxRetryError("HTTPSConnectionPool(host='s3.amazonaws.com', port=443): Max retries exceeded with url: /datasets.huggingface.co/oscar/1.0/... | code
```
from datasets import load_dataset
dataset = load_dataset('oscar', 'unshuffled_deduplicated_it')
```
bug report
```
---------------------------------------------------------------------------
ConnectionError Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_2978... | 49 | ConnectionError and SSLError
code
```
from datasets import load_dataset
dataset = load_dataset('oscar', 'unshuffled_deduplicated_it')
```
bug report
```
---------------------------------------------------------------------------
ConnectionError Traceback (most recent call last)
~\App... |
https://github.com/huggingface/datasets/issues/3973 | ConnectionError and SSLError | you are so wise!
it report [ConnectionError] in python 3.9.7
and works well in python 3.8.12
I need you help again: how can I specify the path for download files?
the data is too large and my C hardware is not enough | code
```
from datasets import load_dataset
dataset = load_dataset('oscar', 'unshuffled_deduplicated_it')
```
bug report
```
---------------------------------------------------------------------------
ConnectionError Traceback (most recent call last)
~\AppData\Local\Temp/ipykernel_2978... | 42 | ConnectionError and SSLError
code
```
from datasets import load_dataset
dataset = load_dataset('oscar', 'unshuffled_deduplicated_it')
```
bug report
```
---------------------------------------------------------------------------
ConnectionError Traceback (most recent call last)
~\App... |
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