Datasets:
Tasks:
Text Classification
Formats:
parquet
Sub-tasks:
multi-label-classification
Languages:
English
Size:
1K - 10K
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class |
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https://api.github.com/repos/huggingface/datasets/issues/5799 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5799/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5799/comments | https://api.github.com/repos/huggingface/datasets/issues/5799/events | https://github.com/huggingface/datasets/issues/5799 | 1,686,334,572 | I_kwDODunzps5kg2xs | 5,799 | Files downloaded to cache do not respect umask | {
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"followers_... | [] | 1,682,582,765,000 | 1,682,587,817,000 | 1,682,587,817,000 | MEMBER | null | null | As reported by @stas00, files downloaded to the cache do not respect umask:
```bash
$ ls -l /path/to/cache/datasets/downloads/
-rw------- 1 uername username 150M Apr 25 16:41 5e646c1d600f065adaeb134e536f6f2f296a6d804bd1f0e1fdcd20ee28c185c6
```
Related to:
- #2065 | {
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https://api.github.com/repos/huggingface/datasets/issues/5798 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5798/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5798/comments | https://api.github.com/repos/huggingface/datasets/issues/5798/events | https://github.com/huggingface/datasets/issues/5798 | 1,685,904,526 | I_kwDODunzps5kfNyO | 5,798 | Support parallelized downloading and processing in load_dataset with Spark | {
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] | open | false | null | [] | [] | 1,682,554,571,000 | 1,682,554,571,000 | null | NONE | null | null | ### Feature request
When calling `load_dataset` for datasets that have multiple files, support using Spark to distribute the downloading and processing job to worker nodes when `cache_dir` is a cloud file system shared among nodes.
```python
load_dataset(..., use_spark=True)
```
### Motivation
Further speed up ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5797 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5797/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5797/comments | https://api.github.com/repos/huggingface/datasets/issues/5797/events | https://github.com/huggingface/datasets/issues/5797 | 1,685,501,199 | I_kwDODunzps5kdrUP | 5,797 | load_dataset is case sentitive? | {
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"Hi @haonan-li , thank you for the report! It seems to be a bug on the [`huggingface_hub`](https://github.com/huggingface/huggingface_hub) site, there is even no such dataset as `mbzuai/bactrian-x` on the Hub. I opened and [issue](https://github.com/huggingface/huggingface_hub/issues/1453) there.",
"I think `loa... | 1,682,533,144,000 | 1,682,596,618,000 | null | NONE | null | null | ### Describe the bug
load_dataset() function is case sensitive?
### Steps to reproduce the bug
The following two code, get totally different behavior.
1. load_dataset('mbzuai/bactrian-x','en')
2. load_dataset('MBZUAI/Bactrian-X','en')
### Expected behavior
Compare 1 and 2.
1 will download all 52 subsets, sh... | {
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] | open | false | null | [] | [] | 1,682,520,923,000 | 1,682,520,923,000 | null | MEMBER | null | null | Sometimes when running our CI on Windows, we get a ZeroDivisionError:
```
FAILED tests/test_metric_common.py::LocalMetricTest::test_load_metric_frugalscore - ZeroDivisionError: float division by zero
```
See for example:
- https://github.com/huggingface/datasets/actions/runs/4809358266/jobs/8560513110
- https:/... | {
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https://api.github.com/repos/huggingface/datasets/issues/5793 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5793/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5793/comments | https://api.github.com/repos/huggingface/datasets/issues/5793/events | https://github.com/huggingface/datasets/issues/5793 | 1,684,777,320 | I_kwDODunzps5ka6lo | 5,793 | IterableDataset.with_format("torch") not working | {
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"Hi ! Thanks for reporting, I'm working on it ;)"
] | 1,682,506,223,000 | 1,682,510,927,000 | null | NONE | null | null | ### Describe the bug
After calling the with_format("torch") method on an IterableDataset instance, the data format is unchanged.
### Steps to reproduce the bug
```python
from datasets import IterableDataset
def gen():
for i in range(4):
yield {"a": [i] * 4}
dataset = IterableDataset.from_generator(g... | {
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https://api.github.com/repos/huggingface/datasets/issues/5791 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5791/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5791/comments | https://api.github.com/repos/huggingface/datasets/issues/5791/events | https://github.com/huggingface/datasets/issues/5791 | 1,683,473,943 | I_kwDODunzps5kV8YX | 5,791 | TIFF/TIF support | {
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] | open | false | null | [] | [] | 1,682,439,258,000 | 1,682,439,258,000 | null | NONE | null | null | ### Feature request
I currently have a dataset (with tiff and json files) where I have to do this:
`wget path_to_data/images.zip && unzip images.zip`
`wget path_to_data/annotations.zip && unzip annotations.zip`
Would it make sense a contribution that supports these type of files?
### Motivation
instead o... | {
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https://api.github.com/repos/huggingface/datasets/issues/5789 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5789/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5789/comments | https://api.github.com/repos/huggingface/datasets/issues/5789/events | https://github.com/huggingface/datasets/issues/5789 | 1,682,611,179 | I_kwDODunzps5kSpvr | 5,789 | Support streaming datasets that use jsonlines | {
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"followers_... | [] | 1,682,408,402,000 | 1,682,408,403,000 | null | MEMBER | null | null | Extend support for streaming datasets that use `jsonlines.open`.
Currently, if `jsonlines` is installed, `datasets` raises a `FileNotFoundError`:
```
FileNotFoundError: [Errno 2] No such file or directory: 'https://...'
```
See:
- https://huggingface.co/datasets/masakhane/afriqa/discussions/1 | {
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https://api.github.com/repos/huggingface/datasets/issues/5786 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5786/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5786/comments | https://api.github.com/repos/huggingface/datasets/issues/5786/events | https://github.com/huggingface/datasets/issues/5786 | 1,680,957,070 | I_kwDODunzps5kMV6O | 5,786 | Multiprocessing in a `filter` or `map` function with a Pytorch model | {
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"Hi ! PyTorch may hang when calling `load_state_dict()` in a subprocess. To fix that, set the multiprocessing start method to \"spawn\". Since `datasets` uses `multiprocess`, you should do:\r\n\r\n```python\r\n# Required to avoid issues with pytorch (otherwise hangs during load_state_dict in multiprocessing)\r\nimp... | 1,682,332,687,000 | 1,682,333,038,000 | 1,682,333,038,000 | MEMBER | null | null | ### Describe the bug
I am trying to use a Pytorch model loaded on CPUs with multiple processes with a `.map` or a `.filter` method.
Usually, when dealing with models that are non-pickable, creating a class such that the `map` function is the method `__call__`, and adding `reduce` helps to solve the problem.
Howe... | {
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https://api.github.com/repos/huggingface/datasets/issues/5785 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5785/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5785/comments | https://api.github.com/repos/huggingface/datasets/issues/5785/events | https://github.com/huggingface/datasets/issues/5785 | 1,680,956,964 | I_kwDODunzps5kMV4k | 5,785 | Unsupported data files raise TypeError: 'NoneType' object is not iterable | {
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```
TypeError: 'NoneType' object is not iterable
```
See:
- https://github.com/huggingface/datasets-server/issues/1073
We should give a more informative error message. | {
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https://api.github.com/repos/huggingface/datasets/issues/5783 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5783/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5783/comments | https://api.github.com/repos/huggingface/datasets/issues/5783/events | https://github.com/huggingface/datasets/issues/5783 | 1,679,664,393 | I_kwDODunzps5kHaUJ | 5,783 | Offset overflow while doing regex on a text column | {
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"followers_url": "https://api.github.com... | [] | open | false | null | [] | [] | 1,682,190,723,000 | 1,682,190,741,000 | null | NONE | null | null | ### Describe the bug
`ArrowInvalid: offset overflow while concatenating arrays`
Same error as [here](https://github.com/huggingface/datasets/issues/615)
### Steps to reproduce the bug
Steps to reproduce: (dataset is a few GB big so try in colab maybe)
```
import datasets
import re
ds = datasets.lo... | {
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https://api.github.com/repos/huggingface/datasets/issues/5782 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5782/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5782/comments | https://api.github.com/repos/huggingface/datasets/issues/5782/events | https://github.com/huggingface/datasets/issues/5782 | 1,679,622,367 | I_kwDODunzps5kHQDf | 5,782 | Support for various audio-loading backends instead of always relying on SoundFile | {
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] | open | false | null | [] | [] | 1,682,183,365,000 | 1,682,183,365,000 | null | NONE | null | null | ### Feature request
Introduce an option to select from a variety of audio-loading backends rather than solely relying on the SoundFile library. For instance, if the ffmpeg library is installed, it can serve as a fallback loading option.
### Motivation
- The SoundFile library, used in [features/audio.py](https://gith... | {
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https://api.github.com/repos/huggingface/datasets/issues/5781 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5781/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5781/comments | https://api.github.com/repos/huggingface/datasets/issues/5781/events | https://github.com/huggingface/datasets/issues/5781 | 1,679,580,460 | I_kwDODunzps5kHF0s | 5,781 | Error using `load_datasets` | {
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"It looks like an issue with your installation of scipy, can you try reinstalling it ?"
] | 1,682,176,244,000 | 1,682,511,042,000 | null | NONE | null | null | ### Describe the bug
I tried to load a dataset using the `datasets` library in a conda jupyter notebook and got the below error.
```
ImportError: dlopen(/Users/gilbertyoung/miniforge3/envs/review_sense/lib/python3.8/site-packages/scipy/sparse/linalg/_isolve/_iterative.cpython-38-darwin.so, 0x0002): Library not ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5780 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5780/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5780/comments | https://api.github.com/repos/huggingface/datasets/issues/5780/events | https://github.com/huggingface/datasets/issues/5780 | 1,679,367,149 | I_kwDODunzps5kGRvt | 5,780 | TypeError: 'NoneType' object does not support item assignment | {
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```
def load_datasets(formats, data_dir=datadir, data_files=datafile）：
dataset = load_dataset(formats, data_dir=datadir, data_files=datafile, split=split, streaming=True, **kwargs)
return dataset
raw_datasets = DatasetDict()
raw_datasets["train"] = load_datasets(“csv”, args.datadir, "train.csv", s... | {
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https://api.github.com/repos/huggingface/datasets/issues/5778 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5778/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5778/comments | https://api.github.com/repos/huggingface/datasets/issues/5778/events | https://github.com/huggingface/datasets/issues/5778 | 1,678,125,951 | I_kwDODunzps5kBit_ | 5,778 | Schrödinger's dataset_dict | {
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"Hi ! Passing `data_files=\"path/test.json\"` is equivalent to `data_files={\"train\": [\"path/test.json\"]}`, that's why you end up with a train split. If you don't pass `data_files=`, then split names are inferred from the data files names"
] | 1,682,066,292,000 | 1,682,088,914,000 | null | NONE | null | null | ### Describe the bug
If you use load_dataset('json', data_files="path/test.json"), it will return DatasetDict({train:...}).
And if you use load_dataset("path"), it will return DatasetDict({test:...}).
Why can't the output behavior be unified?
### Steps to reproduce the bug
as description above.
### Expected b... | {
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https://api.github.com/repos/huggingface/datasets/issues/5777 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5777/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5777/comments | https://api.github.com/repos/huggingface/datasets/issues/5777/events | https://github.com/huggingface/datasets/issues/5777 | 1,677,655,969 | I_kwDODunzps5j_v-h | 5,777 | datasets.load_dataset("code_search_net", "python") : NotADirectoryError: [Errno 20] Not a directory | {
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"Note:\r\nI listed the datasets and grepped around to find what appears to be an alternative source for this:\r\n\r\nraw_datasets = load_dataset(\"espejelomar/code_search_net_python_10000_examples\", \"python\")",
"Thanks for reporting, @jason-brian-anderson.\r\n\r\nYes, this is a known issue: the [CodeSearchNet]... | 1,682,042,887,000 | 1,682,077,222,000 | null | NONE | null | null | ### Describe the bug
While checking out the [tokenizer tutorial](https://huggingface.co/course/chapter6/2?fw=pt), i noticed getting an error while initially downloading the python dataset used in the examples.
The [collab with the error is here](https://colab.research.google.com/github/huggingface/notebooks/blob/ma... | {
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https://api.github.com/repos/huggingface/datasets/issues/5776 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5776/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5776/comments | https://api.github.com/repos/huggingface/datasets/issues/5776/events | https://github.com/huggingface/datasets/issues/5776 | 1,677,116,100 | I_kwDODunzps5j9sLE | 5,776 | Use Pandas' `read_json` in the JSON builder | {
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"followers_url": "https:... | [] | 1,682,010,949,000 | 1,682,010,949,000 | null | CONTRIBUTOR | null | null | Instead of PyArrow's `read_json`, we should use `pd.read_json` in the JSON builder for consistency with the CSV and SQL builders (e.g., to address https://github.com/huggingface/datasets/issues/5725).
In Pandas2.0, to get the same performance, we can set the `engine` to "pyarrow". The issue is that Colab still doesn... | {
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https://api.github.com/repos/huggingface/datasets/issues/5775 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5775/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5775/comments | https://api.github.com/repos/huggingface/datasets/issues/5775/events | https://github.com/huggingface/datasets/issues/5775 | 1,677,089,901 | I_kwDODunzps5j9lxt | 5,775 | ArrowDataset.save_to_disk lost some logic of remote | {
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"We just fixed this on `main` and will do a new release soon :)"
] | 1,682,009,881,000 | 1,682,511,096,000 | 1,682,511,077,000 | NONE | null | null | ### Describe the bug
https://github.com/huggingface/datasets/blob/e7ce0ac60c7efc10886471932854903a7c19f172/src/datasets/arrow_dataset.py#L1371
Here is the bug point, when I want to save from a `DatasetDict` class and the items of the instance is like `[('train', Dataset({features: ..., num_rows: ...}))]` , there ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5773 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5773/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5773/comments | https://api.github.com/repos/huggingface/datasets/issues/5773/events | https://github.com/huggingface/datasets/issues/5773 | 1,675,984,633 | I_kwDODunzps5j5X75 | 5,773 | train_dataset does not implement __len__ | {
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"Thanks for reporting, @v-yunbin.\r\n\r\nCould you please give more details, the steps to reproduce the bug, the complete error back trace and the environment information (`datasets-cli env`)?",
"this is a detail error info from transformers：\r\n```\r\nTraceback (most recent call last):\r\n File \"finetune.py\",... | 1,681,965,425,000 | 1,681,987,319,000 | null | NONE | null | null | when train using data precessored by the datasets, I get follow warning and it leads to that I can not set epoch numbers:
`ValueError: The train_dataset does not implement __len__, max_steps has to be specified. The number of steps needs to be known in advance for the learning rate scheduler.` | {
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https://api.github.com/repos/huggingface/datasets/issues/5771 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5771/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5771/comments | https://api.github.com/repos/huggingface/datasets/issues/5771/events | https://github.com/huggingface/datasets/issues/5771 | 1,674,828,380 | I_kwDODunzps5j09pc | 5,771 | Support cloud storage for loading datasets | {
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"A duplicate of https://github.com/huggingface/datasets/issues/5281"
] | 1,681,908,233,000 | 1,681,999,688,000 | null | CONTRIBUTOR | null | null | ### Feature request
It seems that the the current implementation supports cloud storage only for `load_from_disk`. It would be nice if a similar functionality existed in `load_dataset`.
### Motivation
Motivation is pretty clear -- let users work with datasets located in the cloud.
### Your contribution
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5769 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5769/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5769/comments | https://api.github.com/repos/huggingface/datasets/issues/5769/events | https://github.com/huggingface/datasets/issues/5769 | 1,673,441,182 | I_kwDODunzps5jvq-e | 5,769 | Tiktoken tokenizers are not pickable | {
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"Thanks for reporting, @markovalexander.\r\n\r\nUnfortunately, I'm not able to reproduce the issue: the `tiktoken` tokenizer can be used within `Dataset.map`, both in my local machine and in a Colab notebook: https://colab.research.google.com/drive/1DhJroZgk0sNFJ2Mrz-jYgrmh9jblXaCG?usp=sharing\r\n\r\nAre you sure y... | 1,681,834,060,000 | 1,681,970,583,000 | null | NONE | null | null | ### Describe the bug
Since tiktoken tokenizer is not pickable, it is not possible to use it inside `dataset.map()` with multiprocessing enabled. However, you [made](https://github.com/huggingface/datasets/issues/5536) tiktoken's tokenizers pickable in `datasets==2.10.0` for caching. For some reason, this logic does no... | {
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https://api.github.com/repos/huggingface/datasets/issues/5768 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5768/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5768/comments | https://api.github.com/repos/huggingface/datasets/issues/5768/events | https://github.com/huggingface/datasets/issues/5768 | 1,672,494,561 | I_kwDODunzps5jsD3h | 5,768 | load_dataset("squad") doesn't work in 2.7.1 and 2.10.1 | {
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"Thanks for reporting, @yaseen157.\r\n\r\nCould you please give the complete error stack trace?",
"I am not able to reproduce your issue: the dataset loads perfectly on my local machine and on a Colab notebook: https://colab.research.google.com/drive/1Fbdoa1JdNz8DOdX6gmIsOK1nCT8Abj4O?usp=sharing\r\n```python\r\nI... | 1,681,801,856,000 | 1,681,986,443,000 | 1,681,986,442,000 | NONE | null | null | ### Describe the bug
There is an issue that seems to be unique to the "squad" dataset, in which it cannot be loaded using standard methods. This issue is most quickly reproduced from the command line, using the HF examples to verify a dataset is loaded properly.
This is not a problem with "squad_v2" dataset for e... | {
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https://api.github.com/repos/huggingface/datasets/issues/5767 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5767/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5767/comments | https://api.github.com/repos/huggingface/datasets/issues/5767/events | https://github.com/huggingface/datasets/issues/5767 | 1,672,433,979 | I_kwDODunzps5jr1E7 | 5,767 | How to use Distill-BERT with different datasets? | {
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"Closing this one in favor of the same issue opened in the `transformers` repo."
] | 1,681,799,112,000 | 1,682,009,525,000 | 1,682,009,525,000 | NONE | null | null | ### Describe the bug
- `transformers` version: 4.11.3
- Platform: Linux-5.4.0-58-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version (GPU?): 1.12.0+cu102 (True)
- Tensorflow version (GPU?): 2.10.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxL... | {
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https://api.github.com/repos/huggingface/datasets/issues/5766 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5766/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5766/comments | https://api.github.com/repos/huggingface/datasets/issues/5766/events | https://github.com/huggingface/datasets/issues/5766 | 1,671,485,882 | I_kwDODunzps5joNm6 | 5,766 | Support custom feature types | {
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"Hi ! Interesting :) What kind of new types would you like to use ?\r\n\r\nNote that you can already implement your own decoding by using `set_transform` that can decode data on-the-fly when rows are accessed"
] | 1,681,746,401,000 | 1,682,091,172,000 | null | NONE | null | null | ### Feature request
I think it would be nice to allow registering custom feature types with the 🤗 Datasets library. For example, allow to do something along the following lines:
```
from datasets.features import register_feature_type # this would be a new function
@register_feature_type
class CustomFeature... | {
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https://api.github.com/repos/huggingface/datasets/issues/5765 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5765/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5765/comments | https://api.github.com/repos/huggingface/datasets/issues/5765/events | https://github.com/huggingface/datasets/issues/5765 | 1,671,388,824 | I_kwDODunzps5jn16Y | 5,765 | ValueError: You should supply an encoding or a list of encodings to this method that includes input_ids, but you provided ['text'] | {
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"You need to remove the `text` and `text_en` columns before passing the dataset to the `DataLoader` to avoid this error:\r\n```python\r\ntokenized_datasets = tokenized_datasets.remove_columns([\"text\", \"text_en\"])\r\n```\r\n",
"Thanks @mariosasko. Now I am getting this error:\r\n\r\n```\r\nTraceback (most rece... | 1,681,743,650,000 | 1,682,430,645,000 | null | NONE | null | null | ### Describe the bug
Following is my code that I am trying to run, but facing an error (have attached the whole error below):
My code:
```
from collections import OrderedDict
import warnings
import flwr as fl
import torch
import numpy as np
import random
from torch.utils.data import DataLoader
from... | {
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https://api.github.com/repos/huggingface/datasets/issues/5764 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5764/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5764/comments | https://api.github.com/repos/huggingface/datasets/issues/5764/events | https://github.com/huggingface/datasets/issues/5764 | 1,670,740,198 | I_kwDODunzps5jlXjm | 5,764 | ConnectionError: Couldn't reach https://www.dropbox.com/s/zts98j4vkqtsns6/aclImdb_v2.tar?dl=1 | {
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"Thanks for reporting, @sauravtii.\r\n\r\nUnfortunately, I'm not able to reproduce the issue:\r\n```python\r\nIn [1]: from datasets import load_dataset\r\n\r\nIn [2]: ds = load_dataset(\"josianem/imdb\")\r\n\r\nIn [2]: ds\r\nOut[2]: \r\nDatasetDict({\r\n train: Dataset({\r\n features: ['text', 'label'],\r... | 1,681,722,498,000 | 1,681,802,300,000 | 1,681,802,300,000 | NONE | null | null | ### Describe the bug
I want to use this (https://huggingface.co/datasets/josianem/imdb) dataset therefore I am trying to load it using the following code:
```
dataset = load_dataset("josianem/imdb")
```
The dataset is not getting loaded and gives the error message as the following:
```
Traceback (most rece... | {
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https://api.github.com/repos/huggingface/datasets/issues/5762 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5762/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5762/comments | https://api.github.com/repos/huggingface/datasets/issues/5762/events | https://github.com/huggingface/datasets/issues/5762 | 1,670,326,470 | I_kwDODunzps5jjyjG | 5,762 | Not able to load the pile | {
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"Thanks for reporting, @surya-narayanan.\r\n\r\nI see you already started a discussion about this on the Community tab of the corresponding dataset: https://huggingface.co/datasets/EleutherAI/the_pile/discussions/10\r\nLet's continue the discussion there!"
] | 1,681,700,950,000 | 1,681,724,247,000 | 1,681,724,247,000 | NONE | null | null | ### Describe the bug
Got this error when I am trying to load the pile dataset
```
TypeError: Couldn't cast array of type
struct<file: string, id: string>
to
{'id': Value(dtype='string', id=None)}
```
### Steps to reproduce the bug
Please visit the following sample notebook
https://colab.research.goo... | {
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"Also, when generated from a zip archive, the dataset contains only a few images. In my case, 20 versus 2000+ contained in the archive. The generation from folders works as expected.",
"Thanks for reporting, @blghtr.\r\n\r\nYou should include the `metadata.jsonl` in your ZIP archives, at the root level directory.... | 1,681,662,115,000 | 1,681,905,204,000 | null | NONE | null | null | ### Describe the bug
An attempt to generate a dataset from a zip archive using imagefolder and metadata.jsonl does not lead to the expected result. Tried all possible locations of the json file: the file in the archive is ignored (generated dataset contains only images), the file next to the archive like [here](http... | {
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https://api.github.com/repos/huggingface/datasets/issues/5760 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5760/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5760/comments | https://api.github.com/repos/huggingface/datasets/issues/5760/events | https://github.com/huggingface/datasets/issues/5760 | 1,670,028,072 | I_kwDODunzps5jipso | 5,760 | Multi-image loading in Imagefolder dataset | {
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Extend the `imagefolder` dataloading script to support loading multiple images per dataset entry.
This only really makes sense if a metadata file is present.
Currently you can use the following format (example `metadata.jsonl`:
```
{'file_name': 'path_to_image.png', 'metadata': ...}
...
`... | {
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https://api.github.com/repos/huggingface/datasets/issues/5759 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5759/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5759/comments | https://api.github.com/repos/huggingface/datasets/issues/5759/events | https://github.com/huggingface/datasets/issues/5759 | 1,669,977,848 | I_kwDODunzps5jidb4 | 5,759 | Can I load in list of list of dict format? | {
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"Thanks for reporting, @LZY-the-boys.\r\n\r\nCould you please give more details about what is your intended dataset structure? What are the names of the columns and the value of each row?\r\n\r\nCurrently, the JSON-Lines format is supported:\r\n- Each line correspond to one row of the dataset\r\n- Each line is comp... | 1,681,653,014,000 | 1,681,905,876,000 | null | NONE | null | null | ### Feature request
my jsonl dataset has following format:
```
[{'input':xxx, 'output':xxx},{'input:xxx,'output':xxx},...]
[{'input':xxx, 'output':xxx},{'input:xxx,'output':xxx},...]
```
I try to use `datasets.load_dataset('json', data_files=path)` or `datasets.Dataset.from_json`, it raises
```
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"avatar_url": "https://avatars.githubusercontent.com/u/2437102?v=4",
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"url": "https://api.github.com/users/eli-osherovich",
"html_url": "https://github.com/eli-osherovich",
"followers_url": "https://api.gith... | [] | closed | false | null | [] | [] | 1,681,645,690,000 | 1,682,004,651,000 | 1,682,004,651,000 | CONTRIBUTOR | null | null | ### Describe the bug
It seems that `~` is not recognized correctly in local paths. Whenever I try to use it I get an exception
### Steps to reproduce the bug
```python
load_dataset("imagefolder", data_dir="~/data/my_dataset")
```
Will generate the following error:
```
EmptyDatasetError: The directory at ... | {
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