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On my side it sped up some iterable datasets by ~30% when `map_nested` is used extensively to recursively tensorize python dicts. | value:https://api.github.com/repos/huggingface/datasets/issues/5860/comments | value:PR_kwDODunzps5QfojD | value:closed | value:3 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/5860", "html_url": "https://github.com/huggingface/datasets/pull/5860", "diff_url": "https://github.com/huggingface/datasets/pull/5860.diff", "patch_url": "https://github.com/huggingface/datasets/pull/5860.patch", "merged_at": "2023-05-17T18:39:35Z"} | value:2023-05-17T18:46:46Z | value:https://api.github.com/repos/huggingface/datasets/issues/5860/labels{/name} | value:5860 | json:{"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers"... | value:False | true | |||||||||
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Pandas-style subset indexing on dataset does not throw an error, when maybe it should. Instead returns the first instance of the dataset regardless of index condition.
### Steps to reproduce the bug
Steps to reproduce the behavior:
1. `squad = datasets.load_dataset("squad_v2", split="va... | value:https://api.github.com/repos/huggingface/datasets/issues/5858/comments | value:I_kwDODunzps5l4liY | value:closed | value:1 | value:2023-05-25T16:23:19Z | value:https://api.github.com/repos/huggingface/datasets/issues/5858/labels{/name} | value:5858 | json:{"login": "sarahwie", "id": 8027676, "node_id": "MDQ6VXNlcjgwMjc2NzY=", "avatar_url": "https://avatars.githubusercontent.com/u/8027676?v=4", "gravatar_id": "", "url": "https://api.github.com/users/sarahwie", "html_url": "https://github.com/sarahwie", "followers_url": "https://api.github.com/users/sarahwie/follower... | true | |||||||
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Huggingface is really amazing platform for open science.
In addition to computer vision, video and NLP, would it be of interest to add chemistry/materials science dataset/models in Huggingface? Or, if its already done, can you provide some pointers.
We have been working on a comprehensi... | value:https://api.github.com/repos/huggingface/datasets/issues/5857/comments | value:I_kwDODunzps5l4kEe | value:closed | value:1 | value:2023-07-21T13:45:40Z | value:https://api.github.com/repos/huggingface/datasets/issues/5857/labels{/name} | value:5857 | json:{"login": "knc6", "id": 16902896, "node_id": "MDQ6VXNlcjE2OTAyODk2", "avatar_url": "https://avatars.githubusercontent.com/u/16902896?v=4", "gravatar_id": "", "url": "https://api.github.com/users/knc6", "html_url": "https://github.com/knc6", "followers_url": "https://api.github.com/users/knc6/followers", "following... | true | ||||||||
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When try to load natural_questions through datasets == 2.12.0 with python == 3.8.9:
```python
import datasets
datasets.load_dataset('natural_questions',beam_runner='DirectRunner')
```
It failed with following info:
`pyarrow.lib.ArrowNotImplementedError: Nested data conversions no... | value:https://api.github.com/repos/huggingface/datasets/issues/5856/comments | value:I_kwDODunzps5l4JnC | value:closed | value:2 | value:2023-06-05T09:11:19Z | value:https://api.github.com/repos/huggingface/datasets/issues/5856/labels{/name} | value:5856 | json:{"login": "Crownor", "id": 19185508, "node_id": "MDQ6VXNlcjE5MTg1NTA4", "avatar_url": "https://avatars.githubusercontent.com/u/19185508?v=4", "gravatar_id": "", "url": "https://api.github.com/users/Crownor", "html_url": "https://github.com/Crownor", "followers_url": "https://api.github.com/users/Crownor/followers"... | true | ||||||||
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Hi, I'm using `to_tf_dataset` to convert a _large_ dataset to `tf.data.Dataset`. I observed that the data loading *before* training took a lot of time and memory, even with `batch_size=1`.
After some digging, i believe the reason lies in the shuffle behavior. The [source code](https://g... | value:https://api.github.com/repos/huggingface/datasets/issues/5855/comments | value:I_kwDODunzps5l2f0v | value:closed | value:6 | value:2023-06-08T16:32:52Z | value:https://api.github.com/repos/huggingface/datasets/issues/5855/labels{/name} | value:5855 | json:{"login": "massquantity", "id": 28751760, "node_id": "MDQ6VXNlcjI4NzUxNzYw", "avatar_url": "https://avatars.githubusercontent.com/u/28751760?v=4", "gravatar_id": "", "url": "https://api.github.com/users/massquantity", "html_url": "https://github.com/massquantity", "followers_url": "https://api.github.com/users/mas... | true | ||||||||
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It's crash log:
FileNotFoundError: Couldn't find a dataset script at /kaggle/working/audiofolder/audiofolder.py or any data file in the same directory. Couldn't find 'audiofolder' on the Hugging Face Hub either: FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/hugg... | value:https://api.github.com/repos/huggingface/datasets/issues/5854/comments | value:I_kwDODunzps5l2eck | value:closed | value:3 | value:2023-08-16T13:35:36Z | value:https://api.github.com/repos/huggingface/datasets/issues/5854/labels{/name} | value:5854 | json:{"login": "ILG2021", "id": 93691919, "node_id": "U_kgDOBZWgDw", "avatar_url": "https://avatars.githubusercontent.com/u/93691919?v=4", "gravatar_id": "", "url": "https://api.github.com/users/ILG2021", "html_url": "https://github.com/ILG2021", "followers_url": "https://api.github.com/users/ILG2021/followers", "follo... | true | ||||||||
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It uses the data from Arrow if possible, otherwise applies recursive_tensorize.
When set back to format_type=None, cast_to_python_objects is used.
requires https://github.com/huggingface/datasets/pull/5821
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- Csv builder skips non-CSV files
- Analogously for the other builders
Fix #5849. | value:https://api.github.com/repos/huggingface/datasets/issues/5850/comments | value:PR_kwDODunzps5QZALv | value:open | value:10 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/5850", "html_url": "https://github.com/huggingface/datasets/pull/5850", "diff_url": "https://github.com/huggingface/datasets/pull/5850.diff", "patch_url": "https://github.com/huggingface/datasets/pull/5850.patch", "merged_at": null} | value:2023-06-07T12:26:38Z | value:https://api.github.com/repos/huggingface/datasets/issues/5850/labels{/name} | value:5850 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | value:False | true | |||||||||||
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I think the Csv builder should filter out non-CSV files when reading.
An analogue solution should be implemented for other packaged builde... | value:https://api.github.com/repos/huggingface/datasets/issues/5849/comments | value:I_kwDODunzps5lxysX | value:closed | value:0 | value:2023-06-22T14:16:27Z | value:https://api.github.com/repos/huggingface/datasets/issues/5849/labels{/name} | value:5849 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | true | |||||||
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Fixes the following [CI error](https://github.com/huggingface/datasets/actions/runs/4950900048/jobs/8855148703?pr=5845). | value:https://api.github.com/repos/huggingface/datasets/issues/5848/comments | value:PR_kwDODunzps5QYa1B | value:closed | value:3 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/5848", "html_url": "https://github.com/huggingface/datasets/pull/5848", "diff_url": "https://github.com/huggingface/datasets/pull/5848.diff", "patch_url": "https://github.com/huggingface/datasets/pull/5848.patch", "merged_at": "2023-05-12T13:39:06Z"} | value:2023-05-12T13:48:47Z | value:https://api.github.com/repos/huggingface/datasets/issues/5848/labels{/name} | value:5848 | json:{"login": "mariosasko", "id": 47462742, "node_id": "MDQ6VXNlcjQ3NDYyNzQy", "avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4", "gravatar_id": "", "url": "https://api.github.com/users/mariosasko", "html_url": "https://github.com/mariosasko", "followers_url": "https://api.github.com/users/mariosask... | value:False | true | |||||||||
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I'm trying to use a streaming dataset for translation inference to avoid downloading the training data.
I'm using a pipeline and a dataset, and following the guidance in the tutorial.
Instead I get an exception that IterableDataset has no len().
### Steps to reproduce the bug
CODE:... | value:https://api.github.com/repos/huggingface/datasets/issues/5847/comments | value:I_kwDODunzps5luOc6 | value:open | value:8 | value:2023-05-16T15:59:55Z | value:https://api.github.com/repos/huggingface/datasets/issues/5847/labels{/name} | value:5847 | json:{"login": "jlquinn", "id": 826841, "node_id": "MDQ6VXNlcjgyNjg0MQ==", "avatar_url": "https://avatars.githubusercontent.com/u/826841?v=4", "gravatar_id": "", "url": "https://api.github.com/users/jlquinn", "html_url": "https://github.com/jlquinn", "followers_url": "https://api.github.com/users/jlquinn/followers", "f... | true | |||||||||||
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standard env
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details below)
### Reproduction
... | value:https://api.github.com/repos/huggingface/datasets/issues/5851/comments | value:I_kwDODunzps5lzJfo | value:closed | value:0 | value:2023-05-23T10:32:59Z | value:https://api.github.com/repos/huggingface/datasets/issues/5851/labels{/name} | value:5851 | json:{"login": "surya-narayanan", "id": 17240858, "node_id": "MDQ6VXNlcjE3MjQwODU4", "avatar_url": "https://avatars.githubusercontent.com/u/17240858?v=4", "gravatar_id": "", "url": "https://api.github.com/users/surya-narayanan", "html_url": "https://github.com/surya-narayanan", "followers_url": "https://api.github.com/... | true | |||||||
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Running
```
import datasets
ds = datasets.load_dataset('bigcode/the-stack-dedup', streaming=True)
```
takes about 2.5 minutes!
I would expect this to be near instantaneous. With other datasets, the runtime is one or two seconds.
### Environment info
- `datasets` versio... | value:https://api.github.com/repos/huggingface/datasets/issues/5846/comments | value:I_kwDODunzps5ls-iK | value:closed | value:7 | value:2024-04-08T12:53:17Z | value:https://api.github.com/repos/huggingface/datasets/issues/5846/labels{/name} | value:5846 | json:{"login": "tbenthompson", "id": 4241811, "node_id": "MDQ6VXNlcjQyNDE4MTE=", "avatar_url": "https://avatars.githubusercontent.com/u/4241811?v=4", "gravatar_id": "", "url": "https://api.github.com/users/tbenthompson", "html_url": "https://github.com/tbenthompson", "followers_url": "https://api.github.com/users/tbent... | true | |||||||
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TypeError: Couldn't cast array of type struct<answer: struct<unanswerable: bool, answerType: string, free_form_answer: string, evidence: list<item: string>, evidenceAnnotate: list<item: string>, highlighted_evidence: list<item: string>>> to {'answer': {'unanswerable': Value(dtype='bool', id=... | value:https://api.github.com/repos/huggingface/datasets/issues/5844/comments | value:I_kwDODunzps5lrhZk | value:open | value:0 | value:2023-05-11T14:15:01Z | value:https://api.github.com/repos/huggingface/datasets/issues/5844/labels{/name} | value:5844 | json:{"login": "chen-coding", "id": 54010030, "node_id": "MDQ6VXNlcjU0MDEwMDMw", "avatar_url": "https://avatars.githubusercontent.com/u/54010030?v=4", "gravatar_id": "", "url": "https://api.github.com/users/chen-coding", "html_url": "https://github.com/chen-coding", "followers_url": "https://api.github.com/users/chen-c... | true | |||||||||||
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I am attempting to iterate through an image dataset, but I am encountering a significant slowdown in the iteration speed. In order to investigate this issue, I conducted the following experiment:
```python
a=torch.randn(100,224)
a=torch.stack([a] * 10000)
a.shape
# %%
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I had trained one model use deepspeed, when I load the final load I get the follow error:
OSError: Can't load tokenizer for '/XXX/DeepSpeedExamples/applications/DeepSpeed-Chat/output/step3-models/1.3b/actor'. If you were trying to load it from 'https://huggingface.co/models', make sure you ... | value:https://api.github.com/repos/huggingface/datasets/issues/5840/comments | value:I_kwDODunzps5lo3i1 | value:closed | value:1 | value:2023-05-12T13:44:07Z | value:https://api.github.com/repos/huggingface/datasets/issues/5840/labels{/name} | value:5840 | json:{"login": "LanShanPi", "id": 58167546, "node_id": "MDQ6VXNlcjU4MTY3NTQ2", "avatar_url": "https://avatars.githubusercontent.com/u/58167546?v=4", "gravatar_id": "", "url": "https://api.github.com/users/LanShanPi", "html_url": "https://github.com/LanShanPi", "followers_url": "https://api.github.com/users/LanShanPi/fo... | true | ||||||||
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Right now, remove_columns() produces a NotImplementedError for iterable style datasets
### Motivation
It would be great to have the same functionality irrespective of whether one is using an iterable or a map-style dataset
### Your contribution
hope and courage. | value:https://api.github.com/repos/huggingface/datasets/issues/5842/comments | value:I_kwDODunzps5lqAbK | value:closed | value:3 | value:2023-06-21T16:36:42Z | value:https://api.github.com/repos/huggingface/datasets/issues/5842/labels{/name} | value:5842 | json:{"login": "surya-narayanan", "id": 17240858, "node_id": "MDQ6VXNlcjE3MjQwODU4", "avatar_url": "https://avatars.githubusercontent.com/u/17240858?v=4", "gravatar_id": "", "url": "https://api.github.com/users/surya-narayanan", "html_url": "https://github.com/surya-narayanan", "followers_url": "https://api.github.com/... | true | ||||||||
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standard env
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction
... | value:https://api.github.com/repos/huggingface/datasets/issues/5843/comments | value:I_kwDODunzps5lqBY3 | value:closed | value:2 | value:2023-05-25T04:51:59Z | value:https://api.github.com/repos/huggingface/datasets/issues/5843/labels{/name} | value:5843 | json:{"login": "surya-narayanan", "id": 17240858, "node_id": "MDQ6VXNlcjE3MjQwODU4", "avatar_url": "https://avatars.githubusercontent.com/u/17240858?v=4", "gravatar_id": "", "url": "https://api.github.com/users/surya-narayanan", "html_url": "https://github.com/surya-narayanan", "followers_url": "https://api.github.com/... | true | ||||||||
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The solutions to consider:
1. hashing/pi... | value:https://api.github.com/repos/huggingface/datasets/issues/5839/comments | value:I_kwDODunzps5lmXDe | value:closed | value:0 | value:2023-11-28T16:29:33Z | value:https://api.github.com/repos/huggingface/datasets/issues/5839/labels{/name} | value:5839 | json:{"login": "mariosasko", "id": 47462742, "node_id": "MDQ6VXNlcjQ3NDYyNzQy", "avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4", "gravatar_id": "", "url": "https://api.github.com/users/mariosasko", "html_url": "https://github.com/mariosasko", "followers_url": "https://api.github.com/users/mariosask... | true | |||||||
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Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very large and being able to stream the... | value:https://api.github.com/repos/huggingface/datasets/issues/5838/comments | value:I_kwDODunzps5lhO9g | value:closed | value:12 | value:2024-10-28T14:19:44Z | value:https://api.github.com/repos/huggingface/datasets/issues/5838/labels{/name} | value:5838 | json:{"login": "Nilabhra", "id": 5437792, "node_id": "MDQ6VXNlcjU0Mzc3OTI=", "avatar_url": "https://avatars.githubusercontent.com/u/5437792?v=4", "gravatar_id": "", "url": "https://api.github.com/users/Nilabhra", "html_url": "https://github.com/Nilabhra", "followers_url": "https://api.github.com/users/Nilabhra/follower... | true | ||||||||
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When I use DeepSpeed train a model with my own " XXX.csv" dataset I got the follow question:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/fm001/.conda/envs/hzl/lib/python3.8/site-packages/datasets/load.py", line 1767, in load_dataset
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Indeed `datasets.Features` doesn't support non-nullable fields, which can lead to data not concatenable due to arrow schema mismatch. | value:https://api.github.com/repos/huggingface/datasets/issues/5835/comments | value:PR_kwDODunzps5QHquR | value:closed | value:4 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/5835", "html_url": "https://github.com/huggingface/datasets/pull/5835", "diff_url": "https://github.com/huggingface/datasets/pull/5835.diff", "patch_url": "https://github.com/huggingface/datasets/pull/5835.patch", "merged_at": "2023-05-19T13:04:30Z"} | value:2023-05-23T16:10:29Z | value:https://api.github.com/repos/huggingface/datasets/issues/5835/labels{/name} | value:5835 | json:{"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers"... | value:False | true | |||||||||
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I expect the dataset to store the data in the `uint8` data type, but it's returning `int64` instead.
While I've found that `datasets` doesn't yet support float16 (https://github.com/huggingface/datasets/issues/4981), I'm wondering if this is the case for other data types as well.
Is there ... | value:https://api.github.com/repos/huggingface/datasets/issues/5834/comments | value:I_kwDODunzps5leU78 | value:closed | value:5 | value:2023-05-13T05:04:21Z | value:https://api.github.com/repos/huggingface/datasets/issues/5834/labels{/name} | value:5834 | json:{"login": "ryokan0123", "id": 17979572, "node_id": "MDQ6VXNlcjE3OTc5NTcy", "avatar_url": "https://avatars.githubusercontent.com/u/17979572?v=4", "gravatar_id": "", "url": "https://api.github.com/users/ryokan0123", "html_url": "https://github.com/ryokan0123", "followers_url": "https://api.github.com/users/ryokan012... | true | ||||||||
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I can't upload to the hub the dataset I manually created locally (Image dataset). I have a problem when using the method `.push_to_hub` which asks for a `create_pr` attribute which is not compatible.
### Steps to reproduce the bug
here what I have:
```python
dataset.push_to_hub("agombe... | value:https://api.github.com/repos/huggingface/datasets/issues/5833/comments | value:I_kwDODunzps5ldr3q | value:closed | value:14 | value:2023-10-24T18:22:29Z | value:https://api.github.com/repos/huggingface/datasets/issues/5833/labels{/name} | value:5833 | json:{"login": "agombert", "id": 17645711, "node_id": "MDQ6VXNlcjE3NjQ1NzEx", "avatar_url": "https://avatars.githubusercontent.com/u/17645711?v=4", "gravatar_id": "", "url": "https://api.github.com/users/agombert", "html_url": "https://github.com/agombert", "followers_url": "https://api.github.com/users/agombert/follow... | true | |||||||
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Running [Bert-Large-Cased](https://huggingface.co/bert-large-cased) model causes `HTTPError`, with the following traceback-
```
HTTPError Traceback (most recent call last)
<ipython-input-6-5c580443a1ad> in <module>
----> 1 tokenizer = BertTokenizer.from_... | value:https://api.github.com/repos/huggingface/datasets/issues/5832/comments | value:I_kwDODunzps5ldIYo | value:closed | value:1 | value:2023-05-09T14:25:59Z | value:https://api.github.com/repos/huggingface/datasets/issues/5832/labels{/name} | value:5832 | json:{"login": "varungupta31", "id": 51288316, "node_id": "MDQ6VXNlcjUxMjg4MzE2", "avatar_url": "https://avatars.githubusercontent.com/u/51288316?v=4", "gravatar_id": "", "url": "https://api.github.com/users/varungupta31", "html_url": "https://github.com/varungupta31", "followers_url": "https://api.github.com/users/var... | true | ||||||||
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I have already cached the dataset using:
```
dataset = load_dataset("databricks/databricks-dolly-15k",
cache_dir="/mnt/data/llm/datasets/databricks-dolly-15k")
```
After that, I tried to load it again using the same machine, I got this error:
```
Traceback (mos... | value:https://api.github.com/repos/huggingface/datasets/issues/5831/comments | value:I_kwDODunzps5lb55L | value:open | value:6 | value:2023-05-10T01:48:20Z | value:https://api.github.com/repos/huggingface/datasets/issues/5831/labels{/name} | value:5831 | json:{"login": "SingL3", "id": 20473466, "node_id": "MDQ6VXNlcjIwNDczNDY2", "avatar_url": "https://avatars.githubusercontent.com/u/20473466?v=4", "gravatar_id": "", "url": "https://api.github.com/users/SingL3", "html_url": "https://github.com/SingL3", "followers_url": "https://api.github.com/users/SingL3/followers", "f... | true | ||||||||||
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M2 MBP can't run
```python
from datasets import load_dataset
jazzy = load_dataset("nomic-ai/gpt4all-j-prompt-generations", revision='v1.2-jazzy')
```
### Steps to reproduce the bug
1. Use M2 MBP
2. Python 3.10.10 from pyenv
3. Run
```
from datasets import load_dataset
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I am not able to concatenate the augmentation of the stream data. I am using the latest version of dataset.
ValueError: The features can't be aligned because the key audio of features {'audio_id': Value(dtype='string',
id=None), 'audio': {'array': Sequence(feature=Value(dtype='float32... | value:https://api.github.com/repos/huggingface/datasets/issues/5828/comments | value:I_kwDODunzps5lSEeb | value:closed | value:3 | value:2023-06-29T20:07:56Z | value:https://api.github.com/repos/huggingface/datasets/issues/5828/labels{/name} | value:5828 | json:{"login": "krishnapriya-18", "id": 48817796, "node_id": "MDQ6VXNlcjQ4ODE3Nzk2", "avatar_url": "https://avatars.githubusercontent.com/u/48817796?v=4", "gravatar_id": "", "url": "https://api.github.com/users/krishnapriya-18", "html_url": "https://github.com/krishnapriya-18", "followers_url": "https://api.github.com/... | true | ||||||||
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i have a json like this:
[
{"id": 1, "name": 1},
{"id": 2, "name": "Nan"},
{"id": 3, "name": 3},
....
]
，which have several problematic rows data like row 2, then i load it with datasets.load_dataset('json', data_files=['xx.json'], split='train'), it will report like ... | value:https://api.github.com/repos/huggingface/datasets/issues/5827/comments | value:I_kwDODunzps5lQwXu | value:closed | value:2 | value:2026-03-09T15:58:00Z | value:https://api.github.com/repos/huggingface/datasets/issues/5827/labels{/name} | value:5827 | json:{"login": "1014661165", "id": 46060451, "node_id": "MDQ6VXNlcjQ2MDYwNDUx", "avatar_url": "https://avatars.githubusercontent.com/u/46060451?v=4", "gravatar_id": "", "url": "https://api.github.com/users/1014661165", "html_url": "https://github.com/1014661165", "followers_url": "https://api.github.com/users/101466116... | true | ||||||||
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I'm trying to download https://huggingface.co/datasets/bigscience/xP3/resolve/main/ur/xp3_facebook_flores_spa_Latn-urd_Arab_devtest_ab-spa_Latn-urd_Arab.jsonl which works fine in my webbrowser, but somehow not with datasets. Am I doing sth wrong?
```
Downloading builder script: 100%
2.8... | value:https://api.github.com/repos/huggingface/datasets/issues/5825/comments | value:I_kwDODunzps5lKyl7 | value:closed | value:4 | value:2023-08-16T10:02:01Z | value:https://api.github.com/repos/huggingface/datasets/issues/5825/labels{/name} | value:5825 | json:{"login": "Muennighoff", "id": 62820084, "node_id": "MDQ6VXNlcjYyODIwMDg0", "avatar_url": "https://avatars.githubusercontent.com/u/62820084?v=4", "gravatar_id": "", "url": "https://api.github.com/users/Muennighoff", "html_url": "https://github.com/Muennighoff", "followers_url": "https://api.github.com/users/Muenni... | true | ||||||||
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Also fixed a couple of typos I spotted | value:https://api.github.com/repos/huggingface/datasets/issues/5824/comments | value:PR_kwDODunzps5P1rIZ | value:closed | value:2 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/5824", "html_url": "https://github.com/huggingface/datasets/pull/5824", "diff_url": "https://github.com/huggingface/datasets/pull/5824.diff", "patch_url": "https://github.com/huggingface/datasets/pull/5824.patch", "merged_at": "2023-05-05T12:31:54Z"} | value:2023-05-05T12:39:14Z | value:https://api.github.com/repos/huggingface/datasets/issues/5824/labels{/name} | value:5824 | json:{"login": "Laurent2916", "id": 21087104, "node_id": "MDQ6VXNlcjIxMDg3MTA0", "avatar_url": "https://avatars.githubusercontent.com/u/21087104?v=4", "gravatar_id": "", "url": "https://api.github.com/users/Laurent2916", "html_url": "https://github.com/Laurent2916", "followers_url": "https://api.github.com/users/Lauren... | value:False | true | |||||||||
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When trying to save a `DatasetDict` to a private S3 bucket using `save_to_disk`, the artifacts are instead saved locally, and not in the S3 bucket.
I have tried using the deprecated `fs` as well as the `storage_options` arguments and I get the same results.
### Steps to reproduce the bug... | value:https://api.github.com/repos/huggingface/datasets/issues/5823/comments | value:I_kwDODunzps5lJosV | value:closed | value:3 | value:2024-05-30T16:11:31Z | value:https://api.github.com/repos/huggingface/datasets/issues/5823/labels{/name} | value:5823 | json:{"login": "thejamesmarq", "id": 5233185, "node_id": "MDQ6VXNlcjUyMzMxODU=", "avatar_url": "https://avatars.githubusercontent.com/u/5233185?v=4", "gravatar_id": "", "url": "https://api.github.com/users/thejamesmarq", "html_url": "https://github.com/thejamesmarq", "followers_url": "https://api.github.com/users/theja... | true | ||||||||
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Common Voice v10 Delta (German) Dataset from here https://commonvoice.mozilla.org/de/datasets
```
audio_dataset = \
(Dataset
.from_dict({"audio": ('/tmp/cv-corpus-10.0-delta-2022-07-04/de/clips/' + df.path).to_list()})
.cast_column("audio", Audio(sampling_rate=16_000))
... | value:https://api.github.com/repos/huggingface/datasets/issues/5822/comments | value:I_kwDODunzps5lIHps | value:closed | value:2 | value:2023-05-11T20:45:53Z | value:https://api.github.com/repos/huggingface/datasets/issues/5822/labels{/name} | value:5822 | json:{"login": "paulbauriegel", "id": 20282916, "node_id": "MDQ6VXNlcjIwMjgyOTE2", "avatar_url": "https://avatars.githubusercontent.com/u/20282916?v=4", "gravatar_id": "", "url": "https://api.github.com/users/paulbauriegel", "html_url": "https://github.com/paulbauriegel", "followers_url": "https://api.github.com/users/... | true | ||||||||
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This will also be useful for torch formatting, since we can reuse the TorchFormatter that converts Arrow data to torch tensors
Related to https://github.com/huggingface/datasets/issues/5793 and https://... | value:https://api.github.com/repos/huggingface/datasets/issues/5821/comments | value:PR_kwDODunzps5PzHLU | value:closed | value:13 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/5821", "html_url": "https://github.com/huggingface/datasets/pull/5821", "diff_url": "https://github.com/huggingface/datasets/pull/5821.diff", "patch_url": "https://github.com/huggingface/datasets/pull/5821.patch", "merged_at": "2023-05-31T09:36:18Z"} | value:2023-05-31T09:43:26Z | value:https://api.github.com/repos/huggingface/datasets/issues/5821/labels{/name} | value:5821 | json:{"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers"... | value:False | true | |||||||||
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I stumbled upon this docstring while working on a project.
Some of the attributes have missing descriptions.
https://github.com/huggingface/datasets/blob/bc5fef5b6d91f009e4101684adcb374df2c170f6/src/datasets/builder.py#L104-L117 | value:https://api.github.com/repos/huggingface/datasets/issues/5820/comments | value:I_kwDODunzps5lFUVL | value:closed | value:1 | value:2023-05-05T12:31:56Z | value:https://api.github.com/repos/huggingface/datasets/issues/5820/labels{/name} | value:5820 | json:{"login": "Laurent2916", "id": 21087104, "node_id": "MDQ6VXNlcjIxMDg3MTA0", "avatar_url": "https://avatars.githubusercontent.com/u/21087104?v=4", "gravatar_id": "", "url": "https://api.github.com/users/Laurent2916", "html_url": "https://github.com/Laurent2916", "followers_url": "https://api.github.com/users/Lauren... | true | ||||||||
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I'm trying to use Dataset.from_generator() to generate a large dataset.
### Steps to reproduce the bug
Code to reproduce:
```
from transformers import T5Tokenizer, T5ForConditionalGeneration, GenerationConfig
import torch
from tqdm import tqdm
from datasets import load_dataset
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The ability to load a dataset, add or change something, and save it back to disk.
Maybe it's possible, but I can't work out how to do it, e.g. this fails:
```py
import datasets
dataset = datasets.load_from_disk("data/test1")
dataset = dataset.add_item({"text": "A new item"})
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I'm using a map function that returns more rows than are passed in.
If I try to use `num_proc` I get:
```
File "/home/davidg/.virtualenvs/learning/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 563, in wrapper
out: Union["Dataset", "DatasetDict"] = func(self, *args... | value:https://api.github.com/repos/huggingface/datasets/issues/5817/comments | value:I_kwDODunzps5lBf9a | value:closed | value:3 | value:2023-05-04T21:14:21Z | value:https://api.github.com/repos/huggingface/datasets/issues/5817/labels{/name} | value:5817 | json:{"login": "davidgilbertson", "id": 4443482, "node_id": "MDQ6VXNlcjQ0NDM0ODI=", "avatar_url": "https://avatars.githubusercontent.com/u/4443482?v=4", "gravatar_id": "", "url": "https://api.github.com/users/davidgilbertson", "html_url": "https://github.com/davidgilbertson", "followers_url": "https://api.github.com/us... | true | ||||||||
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Fix #5812
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While Kaggle does provide the option to create a dataset from a URI, that URI must point to a single file. For example:
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Shuffling interleaved `IterableDataset` with "all_exhausted" strategy yields non-exhaustive sampling.
### Steps to reproduce the bug
```py
from datasets import IterableDataset, interleave_datasets
def gen(bias, length):
for i in range(length):
yield dict(a=bias+i)
seed... | value:https://api.github.com/repos/huggingface/datasets/issues/5812/comments | value:I_kwDODunzps5k1sqZ | value:closed | value:0 | value:2023-05-04T14:24:51Z | value:https://api.github.com/repos/huggingface/datasets/issues/5812/labels{/name} | value:5812 | json:{"login": "offchan42", "id": 15215732, "node_id": "MDQ6VXNlcjE1MjE1NzMy", "avatar_url": "https://avatars.githubusercontent.com/u/15215732?v=4", "gravatar_id": "", "url": "https://api.github.com/users/offchan42", "html_url": "https://github.com/offchan42", "followers_url": "https://api.github.com/users/offchan42/fo... | true | |||||||
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I've adapted Databrick's [train_dolly.py](/databrickslabs/dolly/blob/master/train_dolly.py) to train using a local dataset, which has been working. Upon changing the filenames of the `.json` & `.py` files in my local dataset directory, `dataset = load_dataset(path_or_dataset)["train"]` thr... | value:https://api.github.com/repos/huggingface/datasets/issues/5811/comments | value:I_kwDODunzps5kuh5G | value:open | value:2 | value:2025-02-27T07:32:30Z | value:https://api.github.com/repos/huggingface/datasets/issues/5811/labels{/name} | value:5811 | json:{"login": "durapensa", "id": 50685483, "node_id": "MDQ6VXNlcjUwNjg1NDgz", "avatar_url": "https://avatars.githubusercontent.com/u/50685483?v=4", "gravatar_id": "", "url": "https://api.github.com/users/durapensa", "html_url": "https://github.com/durapensa", "followers_url": "https://api.github.com/users/durapensa/fo... | true | |||||||||||
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I've added an argument`fn_kwargs` for map and filter methods of `IterableDataset` and `IterableDatasetDict` classes.
# Details
Currently, the map and filter methods of some classes related to `IterableDataset` do not allow specifing the arguments passed to the function. This pull request adds `fn_... | value:https://api.github.com/repos/huggingface/datasets/issues/5810/comments | value:PR_kwDODunzps5PdJHI | value:closed | value:9 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/5810", "html_url": "https://github.com/huggingface/datasets/pull/5810", "diff_url": "https://github.com/huggingface/datasets/pull/5810.diff", "patch_url": "https://github.com/huggingface/datasets/pull/5810.patch", "merged_at": "2023-05-22T08:05:31Z"} | value:2023-05-22T08:12:39Z | value:https://api.github.com/repos/huggingface/datasets/issues/5810/labels{/name} | value:5810 | json:{"login": "yuukicammy", "id": 3927621, "node_id": "MDQ6VXNlcjM5Mjc2MjE=", "avatar_url": "https://avatars.githubusercontent.com/u/3927621?v=4", "gravatar_id": "", "url": "https://api.github.com/users/yuukicammy", "html_url": "https://github.com/yuukicammy", "followers_url": "https://api.github.com/users/yuukicammy/... | value:False | true | |||||||||
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Thanks for creating the wiki_dpr dataset!
I am currently trying to combine wiki_dpr and my own datasets. but I don't know how to make the embedding value the same way as wiki_dpr.
As an experiment, I embeds the text of id="7" of wiki_dpr, but this result was very different from wiki_dpr. | value:https://api.github.com/repos/huggingface/datasets/issues/5809/comments | value:I_kwDODunzps5kuEKt | value:closed | value:1 | value:2023-07-21T14:11:00Z | value:https://api.github.com/repos/huggingface/datasets/issues/5809/labels{/name} | value:5809 | json:{"login": "yulgok22", "id": 64122846, "node_id": "MDQ6VXNlcjY0MTIyODQ2", "avatar_url": "https://avatars.githubusercontent.com/u/64122846?v=4", "gravatar_id": "", "url": "https://api.github.com/users/yulgok22", "html_url": "https://github.com/yulgok22", "followers_url": "https://api.github.com/users/yulgok22/follow... | true | ||||||||
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Parallelizing dataset processing is not supported in this PR. | value:https://api.github.com/repos/huggingface/datasets/issues/5807/comments | value:PR_kwDODunzps5PaKRE | value:closed | value:3 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/5807", "html_url": "https://github.com/huggingface/datasets/pull/5807", "diff_url": "https://github.com/huggingface/datasets/pull/5807.diff", "patch_url": "https://github.com/huggingface/datasets/pull/5807.patch", "merged_at": null} | value:2023-05-25T16:54:14Z | value:https://api.github.com/repos/huggingface/datasets/issues/5807/labels{/name} | value:5807 | json:{"login": "es94129", "id": 12763339, "node_id": "MDQ6VXNlcjEyNzYzMzM5", "avatar_url": "https://avatars.githubusercontent.com/u/12763339?v=4", "gravatar_id": "", "url": "https://api.github.com/users/es94129", "html_url": "https://github.com/es94129", "followers_url": "https://api.github.com/users/es94129/followers"... | value:False | true | |||||||||
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Add an optional parameter return_file_name in the load_dataset function. When it is set to True, the function will include the name of the file corresponding to the current line as a feature in the returned output.
### Motivation
When training large language models, machine problems may int... | value:https://api.github.com/repos/huggingface/datasets/issues/5806/comments | value:I_kwDODunzps5kpfZP | value:open | value:25 | value:2026-10-06T22:01:22Z | value:https://api.github.com/repos/huggingface/datasets/issues/5806/labels{/name} | value:5806 | json:{"login": "s-JoL", "id": 16948304, "node_id": "MDQ6VXNlcjE2OTQ4MzA0", "avatar_url": "https://avatars.githubusercontent.com/u/16948304?v=4", "gravatar_id": "", "url": "https://api.github.com/users/s-JoL", "html_url": "https://github.com/s-JoL", "followers_url": "https://api.github.com/users/s-JoL/followers", "follo... | true | ||||||||||
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1. In **Folder-based builders** section it says that we have two folder-based builders as standard builders, but we also have similar builders (that can be created from directory with data of requ... | value:https://api.github.com/repos/huggingface/datasets/issues/5805/comments | value:I_kwDODunzps5kpVvx | value:open | value:11 | value:2026-09-02T00:55:05Z | value:https://api.github.com/repos/huggingface/datasets/issues/5805/labels{/name} | value:5805 | json:{"login": "polinaeterna", "id": 16348744, "node_id": "MDQ6VXNlcjE2MzQ4NzQ0", "avatar_url": "https://avatars.githubusercontent.com/u/16348744?v=4", "gravatar_id": "", "url": "https://api.github.com/users/polinaeterna", "html_url": "https://github.com/polinaeterna", "followers_url": "https://api.github.com/users/pol... | true | |||||||||||
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See: https://github.com/huggingface/datasets/pull/5787#discussion_r1178862327 | value:https://api.github.com/repos/huggingface/datasets/issues/5802/comments | value:PR_kwDODunzps5PR199 | value:closed | value:2 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/5802", "html_url": "https://github.com/huggingface/datasets/pull/5802", "diff_url": "https://github.com/huggingface/datasets/pull/5802.diff", "patch_url": "https://github.com/huggingface/datasets/pull/5802.patch", "merged_at": "2023-04-27T14:51:40Z"} | value:2023-04-27T14:59:47Z | value:https://api.github.com/repos/huggingface/datasets/issues/5802/labels{/name} | value:5802 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | value:False | true | |||||||||
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Related to:
- #2157
Fix #5799.
CC: @stas00 | value:https://api.github.com/repos/huggingface/datasets/issues/5800/comments | value:PR_kwDODunzps5PRTRh | value:closed | value:1 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/5800", "html_url": "https://github.com/huggingface/datasets/pull/5800", "diff_url": "https://github.com/huggingface/datasets/pull/5800.diff", "patch_url": "https://github.com/huggingface/datasets/pull/5800.patch", "merged_at": "2023-04-27T09:30:16Z"} | value:2023-04-27T09:33:05Z | value:https://api.github.com/repos/huggingface/datasets/issues/5800/labels{/name} | value:5800 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | value:False | true | |||||||||
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```bash
$ ls -l /path/to/cache/datasets/downloads/
-rw------- 1 uername username 150M Apr 25 16:41 5e646c1d600f065adaeb134e536f6f2f296a6d804bd1f0e1fdcd20ee28c185c6
```
Related to:
- #2065 | value:https://api.github.com/repos/huggingface/datasets/issues/5799/comments | value:I_kwDODunzps5kg2xs | value:closed | value:0 | value:2023-04-27T09:30:17Z | value:https://api.github.com/repos/huggingface/datasets/issues/5799/labels{/name} | value:5799 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | true | |||||||
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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 spe... | value:https://api.github.com/repos/huggingface/datasets/issues/5798/comments | value:I_kwDODunzps5kfNyO | value:open | value:17 | value:2023-05-25T14:11:41Z | value:https://api.github.com/repos/huggingface/datasets/issues/5798/labels{/name} | value:5798 | json:{"login": "es94129", "id": 12763339, "node_id": "MDQ6VXNlcjEyNzYzMzM5", "avatar_url": "https://avatars.githubusercontent.com/u/12763339?v=4", "gravatar_id": "", "url": "https://api.github.com/users/es94129", "html_url": "https://github.com/es94129", "followers_url": "https://api.github.com/users/es94129/followers"... | true | |||||||||||
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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 subse... | value:https://api.github.com/repos/huggingface/datasets/issues/5797/comments | value:I_kwDODunzps5kdrUP | value:open | value:2 | value:2023-04-27T11:56:58Z | value:https://api.github.com/repos/huggingface/datasets/issues/5797/labels{/name} | value:5797 | json:{"login": "haonan-li", "id": 34729065, "node_id": "MDQ6VXNlcjM0NzI5MDY1", "avatar_url": "https://avatars.githubusercontent.com/u/34729065?v=4", "gravatar_id": "", "url": "https://api.github.com/users/haonan-li", "html_url": "https://github.com/haonan-li", "followers_url": "https://api.github.com/users/haonan-li/fo... | true | |||||||||||
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cc @maddiedawson | value:https://api.github.com/repos/huggingface/datasets/issues/5796/comments | value:PR_kwDODunzps5PORm- | value:closed | value:4 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/5796", "html_url": "https://github.com/huggingface/datasets/pull/5796", "diff_url": "https://github.com/huggingface/datasets/pull/5796.diff", "patch_url": "https://github.com/huggingface/datasets/pull/5796.patch", "merged_at": "2023-04-27T16:34:45Z"} | value:2023-04-27T16:41:50Z | value:https://api.github.com/repos/huggingface/datasets/issues/5796/labels{/name} | value:5796 | json:{"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers"... | value:False | true | |||||||||
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```
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
- h... | value:https://api.github.com/repos/huggingface/datasets/issues/5794/comments | value:I_kwDODunzps5kcg0d | value:closed | value:2 | value:2024-05-17T09:12:11Z | value:https://api.github.com/repos/huggingface/datasets/issues/5794/labels{/name} | value:5794 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | true | ||||||||
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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_gener... | value:https://api.github.com/repos/huggingface/datasets/issues/5793/comments | value:I_kwDODunzps5ka6lo | value:closed | value:1 | value:2023-06-13T15:57:06Z | value:https://api.github.com/repos/huggingface/datasets/issues/5793/labels{/name} | value:5793 | json:{"login": "jiangwangyi", "id": 39762734, "node_id": "MDQ6VXNlcjM5NzYyNzM0", "avatar_url": "https://avatars.githubusercontent.com/u/39762734?v=4", "gravatar_id": "", "url": "https://api.github.com/users/jiangwangyi", "html_url": "https://github.com/jiangwangyi", "followers_url": "https://api.github.com/users/jiangw... | true | |||||||
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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
ins... | value:https://api.github.com/repos/huggingface/datasets/issues/5791/comments | value:I_kwDODunzps5kV8YX | value:closed | value:5 | value:2024-01-15T16:40:33Z | value:https://api.github.com/repos/huggingface/datasets/issues/5791/labels{/name} | value:5791 | json:{"login": "sebasmos", "id": 31293221, "node_id": "MDQ6VXNlcjMxMjkzMjIx", "avatar_url": "https://avatars.githubusercontent.com/u/31293221?v=4", "gravatar_id": "", "url": "https://api.github.com/users/sebasmos", "html_url": "https://github.com/sebasmos", "followers_url": "https://api.github.com/users/sebasmos/follow... | true | ||||||||
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- This will allow to make CI tests without opening a PR, e.g., for future `huggingface-hub` releases, future dependency releases (like `fsspec`, `pandas`,...)
Note that to build the documentation, we already allow it ... | value:https://api.github.com/repos/huggingface/datasets/issues/5790/comments | value:PR_kwDODunzps5PG0mJ | value:closed | value:2 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/5790", "html_url": "https://github.com/huggingface/datasets/pull/5790", "diff_url": "https://github.com/huggingface/datasets/pull/5790.diff", "patch_url": "https://github.com/huggingface/datasets/pull/5790.patch", "merged_at": "2023-04-26T13:35:47Z"} | value:2023-04-26T13:43:08Z | value:https://api.github.com/repos/huggingface/datasets/issues/5790/labels{/name} | value:5790 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | value:False | true | |||||||||
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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 | value:https://api.github.com/repos/huggingface/datasets/issues/5789/comments | value:I_kwDODunzps5kSpvr | value:open | value:0 | value:2023-04-25T07:40:03Z | value:https://api.github.com/repos/huggingface/datasets/issues/5789/labels{/name} | value:5789 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | true | ||||||||||
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```
FileNotFoundError: No (supported) data files or dataset script found in <dataset_name>
```
Fix #5785. | value:https://api.github.com/repos/huggingface/datasets/issues/5787/comments | value:PR_kwDODunzps5O_KNU | value:closed | value:4 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/5787", "html_url": "https://github.com/huggingface/datasets/pull/5787", "diff_url": "https://github.com/huggingface/datasets/pull/5787.diff", "patch_url": "https://github.com/huggingface/datasets/pull/5787.patch", "merged_at": "2023-04-27T12:57:28Z"} | value:2023-04-27T13:06:01Z | value:https://api.github.com/repos/huggingface/datasets/issues/5787/labels{/name} | value:5787 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | value:False | true | |||||||||
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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.
... | value:https://api.github.com/repos/huggingface/datasets/issues/5786/comments | value:I_kwDODunzps5kMV6O | value:closed | value:5 | value:2023-05-30T09:56:30Z | value:https://api.github.com/repos/huggingface/datasets/issues/5786/labels{/name} | value:5786 | json:{"login": "HugoLaurencon", "id": 44556846, "node_id": "MDQ6VXNlcjQ0NTU2ODQ2", "avatar_url": "https://avatars.githubusercontent.com/u/44556846?v=4", "gravatar_id": "", "url": "https://api.github.com/users/HugoLaurencon", "html_url": "https://github.com/HugoLaurencon", "followers_url": "https://api.github.com/users/... | true | ||||||||
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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. | value:https://api.github.com/repos/huggingface/datasets/issues/5785/comments | value:I_kwDODunzps5kMV4k | value:closed | value:0 | value:2023-04-27T12:57:30Z | value:https://api.github.com/repos/huggingface/datasets/issues/5785/labels{/name} | value:5785 | json:{"login": "albertvillanova", "id": 8515462, "node_id": "MDQ6VXNlcjg1MTU0NjI=", "avatar_url": "https://avatars.githubusercontent.com/u/8515462?v=4", "gravatar_id": "", "url": "https://api.github.com/users/albertvillanova", "html_url": "https://github.com/albertvillanova", "followers_url": "https://api.github.com/us... | true | |||||||
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To do so I `.get()` the subprocesses async results even the main process is stopped with e.g. `KeyboardInterrupt`. I added a timeout in case the subp... | value:https://api.github.com/repos/huggingface/datasets/issues/5784/comments | value:PR_kwDODunzps5O_G9S | value:closed | value:4 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/5784", "html_url": "https://github.com/huggingface/datasets/pull/5784", "diff_url": "https://github.com/huggingface/datasets/pull/5784.diff", "patch_url": "https://github.com/huggingface/datasets/pull/5784.patch", "merged_at": "2023-04-26T15:54:44Z"} | value:2023-04-26T16:04:42Z | value:https://api.github.com/repos/huggingface/datasets/issues/5784/labels{/name} | value:5784 | json:{"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers"... | value:False | true | |||||||||
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`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 = datas... | value:https://api.github.com/repos/huggingface/datasets/issues/5783/comments | value:I_kwDODunzps5kHaUJ | value:open | value:7 | value:2023-09-22T06:44:07Z | value:https://api.github.com/repos/huggingface/datasets/issues/5783/labels{/name} | value:5783 | json:{"login": "nishanthcgit", "id": 5066268, "node_id": "MDQ6VXNlcjUwNjYyNjg=", "avatar_url": "https://avatars.githubusercontent.com/u/5066268?v=4", "gravatar_id": "", "url": "https://api.github.com/users/nishanthcgit", "html_url": "https://github.com/nishanthcgit", "followers_url": "https://api.github.com/users/nisha... | true | |||||||||||
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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:... | value:https://api.github.com/repos/huggingface/datasets/issues/5782/comments | value:I_kwDODunzps5kHQDf | value:closed | value:3 | value:2023-05-10T20:23:04Z | value:https://api.github.com/repos/huggingface/datasets/issues/5782/labels{/name} | value:5782 | json:{"login": "BoringDonut", "id": 129098876, "node_id": "U_kgDOB7HkfA", "avatar_url": "https://avatars.githubusercontent.com/u/129098876?v=4", "gravatar_id": "", "url": "https://api.github.com/users/BoringDonut", "html_url": "https://github.com/BoringDonut", "followers_url": "https://api.github.com/users/BoringDonut/... | true | ||||||||
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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): Librar... | value:https://api.github.com/repos/huggingface/datasets/issues/5781/comments | value:I_kwDODunzps5kHF0s | value:closed | value:2 | value:2023-05-02T23:41:25Z | value:https://api.github.com/repos/huggingface/datasets/issues/5781/labels{/name} | value:5781 | json:{"login": "gjyoungjr", "id": 61463108, "node_id": "MDQ6VXNlcjYxNDYzMTA4", "avatar_url": "https://avatars.githubusercontent.com/u/61463108?v=4", "gravatar_id": "", "url": "https://api.github.com/users/gjyoungjr", "html_url": "https://github.com/gjyoungjr", "followers_url": "https://api.github.com/users/gjyoungjr/fo... | true | ||||||||
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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.c... | value:https://api.github.com/repos/huggingface/datasets/issues/5780/comments | value:I_kwDODunzps5kGRvt | value:closed | value:0 | value:2023-04-23T08:49:18Z | value:https://api.github.com/repos/huggingface/datasets/issues/5780/labels{/name} | value:5780 | json:{"login": "zyb8543", "id": 38179632, "node_id": "MDQ6VXNlcjM4MTc5NjMy", "avatar_url": "https://avatars.githubusercontent.com/u/38179632?v=4", "gravatar_id": "", "url": "https://api.github.com/users/zyb8543", "html_url": "https://github.com/zyb8543", "followers_url": "https://api.github.com/users/zyb8543/followers"... | true | ||||||||
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Close https://github.com/huggingface/datasets/issues/5775 | value:https://api.github.com/repos/huggingface/datasets/issues/5779/comments | value:PR_kwDODunzps5O3sHp | value:closed | value:3 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/5779", "html_url": "https://github.com/huggingface/datasets/pull/5779", "diff_url": "https://github.com/huggingface/datasets/pull/5779.diff", "patch_url": "https://github.com/huggingface/datasets/pull/5779.patch", "merged_at": "2023-04-26T12:11:15Z"} | value:2023-04-26T12:20:01Z | value:https://api.github.com/repos/huggingface/datasets/issues/5779/labels{/name} | value:5779 | json:{"login": "lhoestq", "id": 42851186, "node_id": "MDQ6VXNlcjQyODUxMTg2", "avatar_url": "https://avatars.githubusercontent.com/u/42851186?v=4", "gravatar_id": "", "url": "https://api.github.com/users/lhoestq", "html_url": "https://github.com/lhoestq", "followers_url": "https://api.github.com/users/lhoestq/followers"... | value:False | true | |||||||||
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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.
### Expe... | value:https://api.github.com/repos/huggingface/datasets/issues/5778/comments | value:I_kwDODunzps5kBit_ | value:closed | value:1 | value:2023-07-24T15:15:14Z | value:https://api.github.com/repos/huggingface/datasets/issues/5778/labels{/name} | value:5778 | json:{"login": "liujuncn", "id": 902005, "node_id": "MDQ6VXNlcjkwMjAwNQ==", "avatar_url": "https://avatars.githubusercontent.com/u/902005?v=4", "gravatar_id": "", "url": "https://api.github.com/users/liujuncn", "html_url": "https://github.com/liujuncn", "followers_url": "https://api.github.com/users/liujuncn/followers"... | true | ||||||||
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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/b... | value:https://api.github.com/repos/huggingface/datasets/issues/5777/comments | value:I_kwDODunzps5j_v-h | value:closed | value:6 | value:2023-06-05T05:49:52Z | value:https://api.github.com/repos/huggingface/datasets/issues/5777/labels{/name} | value:5777 | json:{"login": "ghost", "id": 10137, "node_id": "MDQ6VXNlcjEwMTM3", "avatar_url": "https://avatars.githubusercontent.com/u/10137?v=4", "gravatar_id": "", "url": "https://api.github.com/users/ghost", "html_url": "https://github.com/ghost", "followers_url": "https://api.github.com/users/ghost/followers", "following_url":... | true | |||||||
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In Pandas2.0, to get the same performance, we can set the `engine` to "pyarrow". The issue is that Colab still... | value:https://api.github.com/repos/huggingface/datasets/issues/5776/comments | value:I_kwDODunzps5j9sLE | value:open | value:0 | value:2023-04-20T17:15:49Z | value:https://api.github.com/repos/huggingface/datasets/issues/5776/labels{/name} | value:5776 | json:{"login": "mariosasko", "id": 47462742, "node_id": "MDQ6VXNlcjQ3NDYyNzQy", "avatar_url": "https://avatars.githubusercontent.com/u/47462742?v=4", "gravatar_id": "", "url": "https://api.github.com/users/mariosasko", "html_url": "https://github.com/mariosasko", "followers_url": "https://api.github.com/users/mariosask... | true | ||||||||||
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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: ...}))]` , ... | value:https://api.github.com/repos/huggingface/datasets/issues/5775/comments | value:I_kwDODunzps5j9lxt | value:closed | value:1 | value:2023-04-26T12:11:36Z | value:https://api.github.com/repos/huggingface/datasets/issues/5775/labels{/name} | value:5775 | json:{"login": "Zoupers", "id": 29817738, "node_id": "MDQ6VXNlcjI5ODE3NzM4", "avatar_url": "https://avatars.githubusercontent.com/u/29817738?v=4", "gravatar_id": "", "url": "https://api.github.com/users/Zoupers", "html_url": "https://github.com/Zoupers", "followers_url": "https://api.github.com/users/Zoupers/followers"... | true | |||||||
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`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.` | value:https://api.github.com/repos/huggingface/datasets/issues/5773/comments | value:I_kwDODunzps5j5X75 | value:open | value:9 | value:2023-07-19T20:33:13Z | value:https://api.github.com/repos/huggingface/datasets/issues/5773/labels{/name} | value:5773 | json:{"login": "zyb8543", "id": 38179632, "node_id": "MDQ6VXNlcjM4MTc5NjMy", "avatar_url": "https://avatars.githubusercontent.com/u/38179632?v=4", "gravatar_id": "", "url": "https://api.github.com/users/zyb8543", "html_url": "https://github.com/zyb8543", "followers_url": "https://api.github.com/users/zyb8543/followers"... | true | |||||||||||
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- Either explicitly: by passing index 0 in `dataset[0].keys()`
- Or implicitly: `pa.Table.from_pylist(dataset)`, where "schema (default None): If not passed, will be inferred from the first row of the mapping values"
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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 contributi... | value:https://api.github.com/repos/huggingface/datasets/issues/5771/comments | value:I_kwDODunzps5j09pc | value:closed | value:1 | value:2023-05-07T17:47:41Z | value:https://api.github.com/repos/huggingface/datasets/issues/5771/labels{/name} | value:5771 | json:{"login": "eli-osherovich", "id": 2437102, "node_id": "MDQ6VXNlcjI0MzcxMDI=", "avatar_url": "https://avatars.githubusercontent.com/u/2437102?v=4", "gravatar_id": "", "url": "https://api.github.com/users/eli-osherovich", "html_url": "https://github.com/eli-osherovich", "followers_url": "https://api.github.com/users... | true | ||||||||
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Related issue: https://github.com/huggingface/datasets/issues/5678 | value:https://api.github.com/repos/huggingface/datasets/issues/5770/comments | value:PR_kwDODunzps5OmntV | value:closed | value:8 | json:{"url": "https://api.github.com/repos/huggingface/datasets/pulls/5770", "html_url": "https://github.com/huggingface/datasets/pull/5770", "diff_url": "https://github.com/huggingface/datasets/pull/5770.diff", "patch_url": "https://github.com/huggingface/datasets/pull/5770.patch", "merged_at": "2023-05-17T14:00:38Z"} | value:2023-05-17T14:07:32Z | value:https://api.github.com/repos/huggingface/datasets/issues/5770/labels{/name} | value:5770 | json:{"login": "maddiedawson", "id": 106995444, "node_id": "U_kgDOBmCe9A", "avatar_url": "https://avatars.githubusercontent.com/u/106995444?v=4", "gravatar_id": "", "url": "https://api.github.com/users/maddiedawson", "html_url": "https://github.com/maddiedawson", "followers_url": "https://api.github.com/users/maddiedaw... | value:False | true | |||||||||
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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 d... | value:https://api.github.com/repos/huggingface/datasets/issues/5769/comments | value:I_kwDODunzps5jvq-e | value:closed | value:1 | value:2023-05-04T18:55:57Z | value:https://api.github.com/repos/huggingface/datasets/issues/5769/labels{/name} | value:5769 | json:{"login": "markovalexander", "id": 22663468, "node_id": "MDQ6VXNlcjIyNjYzNDY4", "avatar_url": "https://avatars.githubusercontent.com/u/22663468?v=4", "gravatar_id": "", "url": "https://api.github.com/users/markovalexander", "html_url": "https://github.com/markovalexander", "followers_url": "https://api.github.com/... | true | ||||||||
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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... | value:https://api.github.com/repos/huggingface/datasets/issues/5768/comments | value:I_kwDODunzps5jsD3h | value:closed | value:8 | value:2023-04-20T10:27:23Z | value:https://api.github.com/repos/huggingface/datasets/issues/5768/labels{/name} | value:5768 | json:{"login": "yaseen157", "id": 57412770, "node_id": "MDQ6VXNlcjU3NDEyNzcw", "avatar_url": "https://avatars.githubusercontent.com/u/57412770?v=4", "gravatar_id": "", "url": "https://api.github.com/users/yaseen157", "html_url": "https://github.com/yaseen157", "followers_url": "https://api.github.com/users/yaseen157/fo... | true | |||||||
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- `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
... | value:https://api.github.com/repos/huggingface/datasets/issues/5767/comments | value:I_kwDODunzps5jr1E7 | value:closed | value:1 | value:2023-04-20T16:52:05Z | value:https://api.github.com/repos/huggingface/datasets/issues/5767/labels{/name} | value:5767 | json:{"login": "sauravtii", "id": 109907638, "node_id": "U_kgDOBo0Otg", "avatar_url": "https://avatars.githubusercontent.com/u/109907638?v=4", "gravatar_id": "", "url": "https://api.github.com/users/sauravtii", "html_url": "https://github.com/sauravtii", "followers_url": "https://api.github.com/users/sauravtii/follower... | true | ||||||||
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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 CustomF... | value:https://api.github.com/repos/huggingface/datasets/issues/5766/comments | value:I_kwDODunzps5joNm6 | value:open | value:4 | value:2024-03-10T11:11:22Z | value:https://api.github.com/repos/huggingface/datasets/issues/5766/labels{/name} | value:5766 | json:{"login": "jmontalt", "id": 37540982, "node_id": "MDQ6VXNlcjM3NTQwOTgy", "avatar_url": "https://avatars.githubusercontent.com/u/37540982?v=4", "gravatar_id": "", "url": "https://api.github.com/users/jmontalt", "html_url": "https://github.com/jmontalt", "followers_url": "https://api.github.com/users/jmontalt/follow... | true | |||||||||||
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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
... | value:https://api.github.com/repos/huggingface/datasets/issues/5765/comments | value:I_kwDODunzps5jn16Y | value:open | value:4 | value:2023-04-25T13:50:45Z | value:https://api.github.com/repos/huggingface/datasets/issues/5765/labels{/name} | value:5765 | json:{"login": "sauravtii", "id": 109907638, "node_id": "U_kgDOBo0Otg", "avatar_url": "https://avatars.githubusercontent.com/u/109907638?v=4", "gravatar_id": "", "url": "https://api.github.com/users/sauravtii", "html_url": "https://github.com/sauravtii", "followers_url": "https://api.github.com/users/sauravtii/follower... | true | |||||||||||
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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 (mos... | value:https://api.github.com/repos/huggingface/datasets/issues/5764/comments | value:I_kwDODunzps5jlXjm | value:closed | value:7 | value:2023-04-18T07:18:20Z | value:https://api.github.com/repos/huggingface/datasets/issues/5764/labels{/name} | value:5764 | json:{"login": "sauravtii", "id": 109907638, "node_id": "U_kgDOBo0Otg", "avatar_url": "https://avatars.githubusercontent.com/u/109907638?v=4", "gravatar_id": "", "url": "https://api.github.com/users/sauravtii", "html_url": "https://github.com/sauravtii", "followers_url": "https://api.github.com/users/sauravtii/follower... | true | |||||||
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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
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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... | value:https://api.github.com/repos/huggingface/datasets/issues/5761/comments | value:I_kwDODunzps5jirSW | value:open | value:3 | value:2023-04-19T11:53:24Z | value:https://api.github.com/repos/huggingface/datasets/issues/5761/labels{/name} | value:5761 | json:{"login": "blghtr", "id": 69686152, "node_id": "MDQ6VXNlcjY5Njg2MTUy", "avatar_url": "https://avatars.githubusercontent.com/u/69686152?v=4", "gravatar_id": "", "url": "https://api.github.com/users/blghtr", "html_url": "https://github.com/blghtr", "followers_url": "https://api.github.com/users/blghtr/followers", "f... | true | ||||||||||
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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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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
```
File "... | value:https://api.github.com/repos/huggingface/datasets/issues/5759/comments | value:I_kwDODunzps5jidb4 | value:open | value:1 | value:2023-04-19T12:04:36Z | value:https://api.github.com/repos/huggingface/datasets/issues/5759/labels{/name} | value:5759 | json:{"login": "LZY-the-boys", "id": 72137647, "node_id": "MDQ6VXNlcjcyMTM3NjQ3", "avatar_url": "https://avatars.githubusercontent.com/u/72137647?v=4", "gravatar_id": "", "url": "https://api.github.com/users/LZY-the-boys", "html_url": "https://github.com/LZY-the-boys", "followers_url": "https://api.github.com/users/LZY... | true |
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