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https://api.github.com/repos/huggingface/datasets/issues/5263 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5263/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5263/comments | https://api.github.com/repos/huggingface/datasets/issues/5263/events | https://github.com/huggingface/datasets/issues/5263 | 1,455,252,626 | I_kwDODunzps5WvWSS | 5,263 | Save a dataset in a determined number of shards | {
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This can be implemented in `save_to_disk` and can also leverage multiprocessing to speed up the process | {
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"Hi ! It looks like your \"isDif\" column is a Sequence of Value(\"string\"), not a Sequence of ClassLabel.\r\n\r\nYou can convert your Value(\"string\") feature type to a ClassLabel feature type this way:\r\n```python\r\nfrom datasets import ClassLabel, Sequence\r\n\r\n# provide the label_names yourself\r\nlabel_n... | 2022-11-18T13:58:42Z | 2022-11-22T10:09:24Z | 2022-11-22T10:09:23Z | NONE | null | null | null | Hello
I'm trying to build a model for custom token classification
I already followed the token classification course on huggingface
while adapting the code to my work, this message occures :
'Value' object has no attribute 'names'
Here's my code:
`raw_datasets`
generates
DatasetDict({
train: Datas... | {
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"cc @albertvillanova the author would like to add this dataset to the hub: https://github.com/microsoft/table-transformer/issues/68#issuecomment-1319114621. Could you help him out?"
] | 2022-11-18T07:56:36Z | 2022-11-18T08:02:18Z | null | CONTRIBUTOR | null | null | null | ### Name
PubTables-1M
### Paper
https://openaccess.thecvf.com/content/CVPR2022/html/Smock_PubTables-1M_Towards_Comprehensive_Table_Extraction_From_Unstructured_Documents_CVPR_2022_paper.html
### Data
https://github.com/microsoft/table-transformer
### Motivation
Table Transformer is now available in 🤗 Transforme... | {
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https://api.github.com/repos/huggingface/datasets/issues/5260 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5260/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5260/comments | https://api.github.com/repos/huggingface/datasets/issues/5260/events | https://github.com/huggingface/datasets/issues/5260 | 1,453,921,697 | I_kwDODunzps5WqRWh | 5,260 | consumer-finance-complaints dataset not loading | {
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"Thanks for reporting, @adiprasad.\r\n\r\nWe are having a look at it.",
"I have opened an issue in that dataset Community tab on the Hub: https://huggingface.co/datasets/consumer-finance-complaints/discussions/1\r\n\r\nPlease note that in the meantime, you can load the dataset by passing `ignore_verifications=Tru... | 2022-11-17T20:10:26Z | 2022-11-18T10:16:53Z | null | NONE | null | null | null | ### Describe the bug
Error during dataset loading
### Steps to reproduce the bug
```
>>> import datasets
>>> cf_raw = datasets.load_dataset("consumer-finance-complaints")
Downloading builder script: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████... | {
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https://api.github.com/repos/huggingface/datasets/issues/5259 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5259/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5259/comments | https://api.github.com/repos/huggingface/datasets/issues/5259/events | https://github.com/huggingface/datasets/issues/5259 | 1,453,555,923 | I_kwDODunzps5Wo4DT | 5,259 | datasets 2.7 introduces sharding error | {
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"I notice a comment in the code says:\r\n`Having lists of different sizes makes sharding ambigious, raise an error in this case until we decide how to define sharding without ambiguity for users` \r\n \r\n ... which suggests this update was pushed knowing that it might break some things. But, it didn't seem to h... | 2022-11-17T15:36:52Z | 2022-12-24T01:44:02Z | 2022-11-18T12:52:05Z | NONE | null | null | null | ### Describe the bug
dataset fails to load with runtime error
`RuntimeError: Sharding is ambiguous for this dataset: we found several data sources lists of different lengths, and we don't know over which list we should parallelize:
- key audio_files has length 46
- key data has length 0
To fix this, check the ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5258 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5258/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5258/comments | https://api.github.com/repos/huggingface/datasets/issues/5258/events | https://github.com/huggingface/datasets/issues/5258 | 1,453,516,636 | I_kwDODunzps5Woudc | 5,258 | Restore order of split names in dataset_info for canonical datasets | {
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"The bulk edit is running...\r\n\r\nSee for example: \r\n- A single config: https://huggingface.co/datasets/acronym_identification/discussions/2\r\n- Multiple configs: https://huggingface.co/datasets/babi_qa/discussions/1",
"TODO: Add \"dataset_info\" YAML metadata to:\r\n- [x] \"chr_en\" has no metadata JSON fil... | 2022-11-17T15:13:15Z | 2023-02-16T09:49:05Z | 2022-11-19T06:51:37Z | MEMBER | null | null | null | After a bulk edit of canonical datasets to create the YAML `dataset_info` metadata, the split names were accidentally sorted alphabetically. See for example:
- https://huggingface.co/datasets/bc2gm_corpus/commit/2384629484401ecf4bb77cd808816719c424e57c
Note that this order is the one appearing in the preview of the... | {
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"Also cc @mariosasko and @lhoestq ",
"Cool ! Let us know if you have questions or if we can help :)\r\n\r\nI guess we'll also have to create the NYU CS Department on the Hub ?",
"> I guess we'll also have to create the NYU CS Department on the Hub ?\r\n\r\nYes, you're right! Let me add it to my profile first, a... | 2022-11-17T03:22:22Z | 2022-12-17T12:20:38Z | 2022-12-17T12:20:37Z | MEMBER | null | null | null | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | {
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"After a discussion with @mishig25:\r\n- He said that this action should be triggered if we call our release branch according to the regex `v*-release`, as transformers does\r\n- I said that our procedure is different: our release branch is *temporary* and it is deleted just after the release PR is merged to main\r... | 2022-11-16T14:59:31Z | 2022-11-22T16:27:50Z | 2022-11-22T16:27:50Z | MEMBER | null | null | null | After the latest `datasets` release version 0.7.0, the docs were not generated.
As we have changed the release procedure (so that now we do not push directly to main branch), maybe we should also change the corresponding GitHub action:
https://github.com/huggingface/datasets/blob/edf1902f954c5568daadebcd8754bdad4... | {
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See context here:
- d7c942228b8dcf4de64b00a3053dce59b335f618
To do:
- [x] Protect main branch
- Settings > Branches > Branch protec... | {
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https://api.github.com/repos/huggingface/datasets/issues/5245 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5245/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5245/comments | https://api.github.com/repos/huggingface/datasets/issues/5245/events | https://github.com/huggingface/datasets/issues/5245 | 1,450,376,433 | I_kwDODunzps5Wcvzx | 5,245 | Unable to rename columns in streaming dataset | {
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"Hi @peregilk this bug is directly related to https://github.com/huggingface/datasets/issues/3888, and still not fixed... But I'll try to have a look!",
"Thanks @alvarobartt. It is great if you are able to fix it, but when reading the explanation it seems like it is possible to work around it.\r\n\r\nWe also trie... | 2022-11-15T21:04:41Z | 2022-11-28T12:53:24Z | 2022-11-28T12:53:24Z | NONE | null | null | null | ### Describe the bug
Trying to rename column in a streaming datasets, destroys the features object.
### Steps to reproduce the bug
The following code illustrates the error:
```
from datasets import load_dataset
dataset = load_dataset('mc4', 'en', streaming=True, split='train')
dataset.info.features
# {'text':... | {
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https://api.github.com/repos/huggingface/datasets/issues/5244 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5244/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5244/comments | https://api.github.com/repos/huggingface/datasets/issues/5244/events | https://github.com/huggingface/datasets/issues/5244 | 1,450,019,225 | I_kwDODunzps5WbYmZ | 5,244 | Allow dataset streaming from private a private source when loading a dataset with a dataset loading script | {
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"Hi ! What kind of private source ? We're exploring adding support for cloud storage and URIs like s3://, gs:// etc. with authentication in the download manager",
"Hello! It's a google cloud storage, so gs://, but I'm using it with https.\r\nBeing able to provide a file system like [here](https://huggingface.co/d... | 2022-11-15T16:02:10Z | 2022-11-23T14:02:30Z | null | CONTRIBUTOR | null | null | null | ### Feature request
Add arguments to the function _get_authentication_headers_for_url_ like custom_endpoint and custom_token in order to add flexibility when downloading files from a private source.
It should also be possible to provide these arguments from the dataset loading script, maybe giving them to the dl_... | {
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https://api.github.com/repos/huggingface/datasets/issues/5243 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5243/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5243/comments | https://api.github.com/repos/huggingface/datasets/issues/5243/events | https://github.com/huggingface/datasets/issues/5243 | 1,449,523,962 | I_kwDODunzps5WZfr6 | 5,243 | Download only split data | {
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"Hi @capsabogdan! Unfortunately, it's hard to implement because quite often datasets data is being hosted in a single archive for all splits :( So we have to download the whole archive to split it into splits. This is the case for CommonVoice too. \r\n\r\nHowever, for cases when data is distributed in separate arch... | 2022-11-15T10:15:54Z | 2023-01-05T09:01:07Z | null | NONE | null | null | null | ### Feature request
Is it possible to download only the data that I am requesting and not the entire dataset? I run out of disk spaceas it seems to download the entire dataset, instead of only the part needed.
common_voice["test"] = load_dataset("mozilla-foundation/common_voice_11_0", "en", split="test",
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5242 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5242/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5242/comments | https://api.github.com/repos/huggingface/datasets/issues/5242/events | https://github.com/huggingface/datasets/issues/5242 | 1,449,069,382 | I_kwDODunzps5WXwtG | 5,242 | Failed Data Processing upon upload with zip file full of images | {
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"cc @abhishekkrthakur @SBrandeis "
] | 2022-11-15T02:47:52Z | 2022-11-15T17:59:23Z | null | NONE | null | null | null | I went to autotrain and under image classification arrived where it was time to prepare my dataset. Screenshot below
I chose the method 2 option. I have a csv file with two columns. ~23,000 files.
I... | {
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https://api.github.com/repos/huggingface/datasets/issues/5232 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5232/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5232/comments | https://api.github.com/repos/huggingface/datasets/issues/5232/events | https://github.com/huggingface/datasets/issues/5232 | 1,446,294,165 | I_kwDODunzps5WNLKV | 5,232 | Incompatible dill versions in datasets 2.6.1 | {
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"Thanks for reporting, @vinaykakade.\r\n\r\nWe are discussing about making a release early this week.\r\n\r\nPlease note that in the meantime, in your specific case (as we also pointed out here: https://github.com/huggingface/datasets/issues/5162#issuecomment-1291720293), you can circumvent the issue by pinning `mu... | 2022-11-12T06:46:23Z | 2022-11-14T08:24:43Z | 2022-11-14T08:07:59Z | NONE | null | null | null | ### Describe the bug
datasets version 2.6.1 has a dependency on dill<0.3.6. This causes a conflict with dill>=0.3.6 used by multiprocess dependency in datasets 2.6.1
This issue is already fixed in https://github.com/huggingface/datasets/pull/5166/files, but not yet been released. Please release a new version of the... | {
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https://api.github.com/repos/huggingface/datasets/issues/5231 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5231/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5231/comments | https://api.github.com/repos/huggingface/datasets/issues/5231/events | https://github.com/huggingface/datasets/issues/5231 | 1,445,883,267 | I_kwDODunzps5WLm2D | 5,231 | Using `set_format(type='torch', columns=columns)` makes Array2D/3D columns stop formatting correctly | {
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"In case others find this, the problem was not with set_format, but my usages of `to_pandas()` and `from_pandas()` which I was using during dataset splitting; somewhere in the chain of converting to and from pandas the `Array2D/Array3D` types get converted to series of `Sequence()` types"
] | 2022-11-11T18:54:36Z | 2022-11-11T20:42:29Z | 2022-11-11T18:59:50Z | NONE | null | null | null | I have a Dataset with two Features defined as follows:
```
'image': Array3D(dtype="int64", shape=(3, 224, 224)),
'bbox': Array2D(dtype="int64", shape=(512, 4)),
```
On said dataset, if I `dataset.set_format(type='torch')` and then use the dataset in a dataloader, these columns are correctly cast to Tensors of ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5230 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5230/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5230/comments | https://api.github.com/repos/huggingface/datasets/issues/5230/events | https://github.com/huggingface/datasets/issues/5230 | 1,445,507,580 | I_kwDODunzps5WKLH8 | 5,230 | dataclasses error when importing the library in python 3.11 | {
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"I opened [this issue](https://github.com/python/cpython/issues/99401).\r\nPython's maintainers say that the issue is caused by [this change](https://docs.python.org/3.11/whatsnew/3.11.html#dataclasses).\r\nI believe adding a `__hash__` method to `datasets.utils.version.Version` should solve (at least partially) th... | 2022-11-11T13:53:49Z | 2022-11-14T20:51:44Z | 2022-11-14T15:27:37Z | NONE | null | null | null | ### Describe the bug
When I import datasets using python 3.11 the dataclasses standard library raises the following error:
`ValueError: mutable default <class 'datasets.utils.version.Version'> for field version is not allowed: use default_factory`
When I tried to import the library using the following jupyter note... | {
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https://api.github.com/repos/huggingface/datasets/issues/5229 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5229/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5229/comments | https://api.github.com/repos/huggingface/datasets/issues/5229/events | https://github.com/huggingface/datasets/issues/5229 | 1,445,121,028 | I_kwDODunzps5WIswE | 5,229 | Type error when calling `map` over dataset containing 0-d tensors | {
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"Hi! \r\n\r\nWe could address this by calling `.item()` on such tensors to extract the value, but this would lose us the type, which could lead to storing the generated dataset in a suboptimal format. Considering this, I think the only proper fix would be implementing support for 0-D tensors on Apache Arrow's side ... | 2022-11-11T08:27:28Z | 2023-01-13T16:00:53Z | 2023-01-13T16:00:53Z | NONE | null | null | null | ### Describe the bug
0-dimensional tensors in a dataset lead to `TypeError: iteration over a 0-d array` when calling `map`. It is easy to generate such tensors by using `.with_format("...")` on the whole dataset.
### Steps to reproduce the bug
```
ds = datasets.Dataset.from_list([{"a": 1}, {"a": 1}]).with_fo... | {
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https://api.github.com/repos/huggingface/datasets/issues/5228 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5228/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5228/comments | https://api.github.com/repos/huggingface/datasets/issues/5228/events | https://github.com/huggingface/datasets/issues/5228 | 1,444,763,105 | I_kwDODunzps5WHVXh | 5,228 | Loading a dataset from the hub fails if you happen to have a folder of the same name | {
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"`load_dataset` first checks for a local directory before checking for the Hub.\r\n\r\nTo make it explicit that it has to fetch the Hub, we could support the `hffs` syntax:\r\n```python\r\nload_dataset(\"hf://datasets/glue\")\r\n```\r\n\r\nwould that work for you ? Also cc @mariosasko who's leading the `hffs` proje... | 2022-11-11T00:51:54Z | 2022-11-14T18:17:34Z | null | NONE | null | null | null | ### Describe the bug
I'm not 100% sure this should be considered a bug, but it was certainly annoying to figure out the cause of. And perhaps I am just missing a specific argument needed to avoid this conflict. Basically I had a situation where multiple workers were downloading different parts of the glue dataset and ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5227 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5227/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5227/comments | https://api.github.com/repos/huggingface/datasets/issues/5227/events | https://github.com/huggingface/datasets/issues/5227 | 1,444,620,094 | I_kwDODunzps5WGyc- | 5,227 | datasets.data_files.EmptyDatasetError: The directory at wikisql doesn't contain any data files | {
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"Fixed. Please close."
] | 2022-11-10T21:57:06Z | 2022-11-10T22:05:43Z | 2022-11-10T22:05:43Z | NONE | null | null | null | ### Describe the bug
From these lines:
from datasets import list_datasets, load_dataset
dataset = load_dataset("wikisql","binary")
I get error message:
datasets.data_files.EmptyDatasetError: The directory at wikisql doesn't contain any data files
And yet the 'wikisql' is reported to exist via the list_datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/5226 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5226/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5226/comments | https://api.github.com/repos/huggingface/datasets/issues/5226/events | https://github.com/huggingface/datasets/issues/5226 | 1,444,385,148 | I_kwDODunzps5WF5F8 | 5,226 | Q: Memory release when removing the column? | {
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"Hi ! Datasets are memory mapped from your disk, i.e. they're not loaded in RAM. This is possible thanks to the Arrow data format.\r\n\r\nTherefore the column you remove is not in RAM, so removing it doesn't cause the RAM to decrease.",
"Thanks for the explanation! @lhoestq \r\nI wonder since it is memory mapped,... | 2022-11-10T18:35:27Z | 2022-11-29T15:10:10Z | 2022-11-29T15:10:10Z | NONE | null | null | null | ### Describe the bug
How do I release memory when I use methods like `.remove_columns()` or `clear()` in notebooks?
```python
from datasets import load_dataset
common_voice = load_dataset("mozilla-foundation/common_voice_11_0", "ja", use_auth_token=True)
# check memory -> RAM Used (GB): 0.704 / Total (GB) 33.670... | {
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https://api.github.com/repos/huggingface/datasets/issues/5225 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5225/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5225/comments | https://api.github.com/repos/huggingface/datasets/issues/5225/events | https://github.com/huggingface/datasets/issues/5225 | 1,444,305,183 | I_kwDODunzps5WFlkf | 5,225 | Add video feature | {
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"@NielsRogge @rwightman may have additional requirements regarding this feature.\r\n\r\nWhen adding a new (decodable) type, the hardest part is choosing the right decoding library. What I mean by \"right\" here is that it has all the features we need and is easy to install (with GPU support?).\r\n\r\nSome candidate... | 2022-11-10T17:36:11Z | 2022-12-02T15:13:15Z | null | CONTRIBUTOR | null | null | null | ### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large files
2. Often times ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5224 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5224/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5224/comments | https://api.github.com/repos/huggingface/datasets/issues/5224/events | https://github.com/huggingface/datasets/issues/5224 | 1,443,640,867 | I_kwDODunzps5WDDYj | 5,224 | Seems to freeze when loading audio dataset with wav files from local folder | {
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"I just tried to do the same but changing the `.wav` files to `.mp3` files and that doesn't fix it.",
"I don't know if anyone will ever read this but I've tried to upload the same dataset with google colab and the output seems more clarifying. I didn't specify the train/test split so the dataset wasn't fully uplo... | 2022-11-10T10:29:31Z | 2022-11-22T11:24:19Z | 2022-11-22T11:24:19Z | NONE | null | null | null | ### Describe the bug
I'm following the instructions in [https://huggingface.co/docs/datasets/audio_load#audiofolder-with-metadata](url) to be able to load a dataset from a local folder.
I have everything into a folder, into a train folder and then the audios and csv. When I try to load the dataset and run from term... | {
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https://api.github.com/repos/huggingface/datasets/issues/5222 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5222/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5222/comments | https://api.github.com/repos/huggingface/datasets/issues/5222/events | https://github.com/huggingface/datasets/issues/5222 | 1,442,412,507 | I_kwDODunzps5V-Xfb | 5,222 | HuggingFace website is incorrectly reporting that my datasets are pickled | {
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"cc @McPatate maybe you know what's happening ?",
"Yes I think I know what is happening. We check in zips for pickles, and the UI must display the pickle jar when a scan has an associated list of imports, even when empty.\r\n~I'll fix ASAP !~",
"> I'll fix ASAP !\r\n\r\nActually I'd rather leave it like that f... | 2022-11-09T16:41:16Z | 2022-11-09T18:10:46Z | 2022-11-09T18:06:57Z | NONE | null | null | null | ### Describe the bug
HuggingFace is incorrectly reporting that my datasets are pickled. They are not picked, they are simple ZIP files containing PNG images.
Hopefully this is the right location to report this bug.
### Steps to reproduce the bug
Inspect my dataset respository here: https://huggingface.co/datasets... | {
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https://api.github.com/repos/huggingface/datasets/issues/5221 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5221/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5221/comments | https://api.github.com/repos/huggingface/datasets/issues/5221/events | https://github.com/huggingface/datasets/issues/5221 | 1,442,309,094 | I_kwDODunzps5V9-Pm | 5,221 | Cannot push | {
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"Did you run `huggingface-cli lfs-enable-largefiles` before committing or before adding ? Maybe you can try before adding\r\n\r\nAnyway I'd encourage you to split your data into several TAR archives if possible, this way the dataset can loaded faster using multiprocessing (by giving each process a subset of shards ... | 2022-11-09T15:32:05Z | 2022-11-10T18:11:21Z | 2022-11-10T18:11:11Z | NONE | null | null | null | ### Describe the bug
I am facing the issue when I try to push the tar.gz file around 11G to HUB.
```
(venv) ╭─laptop@laptop ~/PersonalProjects/data/ulaanbal_v0 ‹main●›
╰─$ du -sh *
4.0K README.md
13G data
516K test.jsonl
18M train.jsonl
4.0K ulaanbal_v0.py
11G ulaanbal_v0.tar.gz
452K validation.jsonl... | {
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https://api.github.com/repos/huggingface/datasets/issues/5220 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5220/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5220/comments | https://api.github.com/repos/huggingface/datasets/issues/5220/events | https://github.com/huggingface/datasets/issues/5220 | 1,441,664,377 | I_kwDODunzps5V7g15 | 5,220 | Implicit type conversion of lists in to_pandas | {
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"I think this behavior comes from PyArrow:\r\n```python\r\nimport pyarrow as pa\r\nt = pa.table({\"a\": [[0]]})\r\nt.to_pandas().a.values[0]\r\n# array([0])\r\n```\r\n\r\nI believe this has to do with zero-copy: you can get a pandas DataFrame without copying the buffers from arrow, and therefore end up with numpy a... | 2022-11-09T08:40:18Z | 2022-11-10T16:12:26Z | 2022-11-10T16:12:26Z | CONTRIBUTOR | null | null | null | ### Describe the bug
```
ds = Dataset.from_list([{'a':[1,2,3]}])
ds.to_pandas().a.values[0]
```
Results in `array([1, 2, 3])` -- a rather unexpected conversion of types which made downstream tools expecting lists not happy.
### Steps to reproduce the bug
See snippet
### Expected behavior
Keep the original typ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5219 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5219/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5219/comments | https://api.github.com/repos/huggingface/datasets/issues/5219/events | https://github.com/huggingface/datasets/issues/5219 | 1,441,255,910 | I_kwDODunzps5V59Hm | 5,219 | Delta Tables usage using Datasets Library | {
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"Hi ! Interesting :) Can you provide concrete examples of cases where it can be useful ?",
"Few example blogs and posts that might help on this - \r\n\r\n1. https://hevodata.com/learn/databricks-delta-tables/\r\n2. https://docs.databricks.com/delta/index.html\r\n\r\nBasically, we are looking at utility of Dataset... | 2022-11-09T02:43:56Z | 2023-03-02T19:29:12Z | null | NONE | null | null | null | ### Feature request
Adding compatibility of Datasets library with Delta Format. Elevating the utilities of Datasets library from Machine Learning Scope to Data Engineering Scope as well.
### Motivation
We know datasets library can absorb csv, json, parquet, etc. file formats but it would be great if Datasets library... | {
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https://api.github.com/repos/huggingface/datasets/issues/5218 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5218/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5218/comments | https://api.github.com/repos/huggingface/datasets/issues/5218/events | https://github.com/huggingface/datasets/issues/5218 | 1,441,254,194 | I_kwDODunzps5V58sy | 5,218 | Delta Tables usage using Datasets Library | {
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] | closed | false | null | [] | [] | 2022-11-09T02:42:18Z | 2022-11-09T02:42:36Z | 2022-11-09T02:42:36Z | NONE | null | null | null | ### Feature request
Adding compatibility of Datasets library with Delta Format. Elevating the utilities of Datasets library from Machine Learning Scope to Data Engineering Scope as well.
### Motivation
We know datasets library can absorb csv, json, parquet, etc. file formats but it would be great if Datasets library... | {
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https://api.github.com/repos/huggingface/datasets/issues/5216 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5216/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5216/comments | https://api.github.com/repos/huggingface/datasets/issues/5216/events | https://github.com/huggingface/datasets/issues/5216 | 1,441,041,947 | I_kwDODunzps5V5I4b | 5,216 | save_elasticsearch_index | {
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"Hi ! I think there exist tools to dump and reload an index in your elastic search but I'm not super familiar with it.\r\n\r\nAnyway after reloading an index in elastic search you can call `ds.load_elasticsearch_index` which will connect the index to the dataset without re-indexing"
] | 2022-11-08T23:06:52Z | 2022-11-09T13:16:45Z | null | NONE | null | null | null | Hi,
I am new to Dataset and elasticsearch. I was wondering is there any equivalent approach to save elasticsearch index as of save_faiss_index locally for later use, to remove the need to re-index a dataset? | {
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https://api.github.com/repos/huggingface/datasets/issues/5209 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5209/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5209/comments | https://api.github.com/repos/huggingface/datasets/issues/5209/events | https://github.com/huggingface/datasets/issues/5209 | 1,438,367,678 | I_kwDODunzps5Vu7-- | 5,209 | Implement ability to define splits in metadata section of dataset card | {
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"@merveenoyan Do you want different files to be splits or configurations?\r\n\r\nFrom [what you specified in `Readme.md`](https://huggingface.co/datasets/inria-soda/tabular-benchmark/commit/fb4575853772c62a20203bdd6cc0202f5db4ce4e) I hypothesize that you want to have 4 **configs** corresponding to directories: `\"c... | 2022-11-07T13:27:16Z | 2022-12-21T13:22:29Z | null | CONTRIBUTOR | null | null | null | ### Feature request
If you go here: https://huggingface.co/datasets/inria-soda/tabular-benchmark/tree/main you will see bunch of folders that has various CSV files. I’d like dataset viewer to show these files instead of only one dataset like it currently does. (and also people to be able to load them as splits inste... | {
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https://api.github.com/repos/huggingface/datasets/issues/5207 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5207/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5207/comments | https://api.github.com/repos/huggingface/datasets/issues/5207/events | https://github.com/huggingface/datasets/issues/5207 | 1,437,858,506 | I_kwDODunzps5Vs_rK | 5,207 | Connection error of the HuggingFace's dataset Hub due to SSLError with proxy | {
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"Hi ! It looks like an issue with your python environment, can you make sure you're able to run GET requests to https://huggingface.co using `requests` in python ?",
"\r\nThanks for your reply. Does this mean that I have to use the `do_dataset `function and the `requests `function to download the dataset from the... | 2022-11-07T06:56:23Z | 2022-11-12T15:31:58Z | null | NONE | null | null | null | ### Describe the bug
It's weird. I could not normally connect the dataset Hub of HuggingFace due to a SSLError in my office.
Even when I try to connect using my company's proxy address (e.g., http_proxy and https_proxy),
I'm getting the SSLError issue. What should I do to download the datanet stored in Hugg... | {
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https://api.github.com/repos/huggingface/datasets/issues/5206 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5206/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5206/comments | https://api.github.com/repos/huggingface/datasets/issues/5206/events | https://github.com/huggingface/datasets/issues/5206 | 1,437,223,894 | I_kwDODunzps5VqkvW | 5,206 | Use logging instead of printing to console | {
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"Actually upon closer inspection, it is documented in the code that this behavior is intentional, so I'll close this."
] | 2022-11-05T23:48:02Z | 2022-11-06T00:06:00Z | 2022-11-06T00:05:59Z | NONE | null | null | null | ### Describe the bug
Some logs ([here](https://github.com/huggingface/datasets/blob/4a6e1fe2735505efc7e3a3dbd3e1835da0702575/src/datasets/builder.py#L778), [here](https://github.com/huggingface/datasets/blob/4a6e1fe2735505efc7e3a3dbd3e1835da0702575/src/datasets/builder.py#L786), and [here](https://github.com/huggingfa... | {
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https://api.github.com/repos/huggingface/datasets/issues/5204 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5204/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5204/comments | https://api.github.com/repos/huggingface/datasets/issues/5204/events | https://github.com/huggingface/datasets/issues/5204 | 1,437,221,259 | I_kwDODunzps5VqkGL | 5,204 | `push_to_hub` not propagating `token` through `DownloadConfig` | {
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"#self-assign",
"@lhoestq can you close this issue as part of the recent #5205 merge? Thanks 🤗 ",
"Thank you :)"
] | 2022-11-05T23:32:20Z | 2022-11-08T10:12:09Z | 2022-11-08T10:12:08Z | CONTRIBUTOR | null | null | null | ### Describe the bug
When trying to upload a new 🤗 Dataset to the Hub via Python, and providing the `token` as a parameter to the `Dataset.push_to_hub` function, it just works for the first time, assuming that the dataset didn't exist before.
But when trying to run `Dataset.push_to_hub` again over the same dataset... | {
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https://api.github.com/repos/huggingface/datasets/issues/5202 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5202/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5202/comments | https://api.github.com/repos/huggingface/datasets/issues/5202/events | https://github.com/huggingface/datasets/issues/5202 | 1,435,886,090 | I_kwDODunzps5VleIK | 5,202 | CI fails after bulk edit of canonical datasets | {
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"Fixed by: https://huggingface.co/datasets/paws/discussions/1"
] | 2022-11-04T10:51:20Z | 2023-02-16T09:11:10Z | 2023-02-16T09:11:10Z | MEMBER | null | null | null | ```
______ test_get_dataset_config_info[paws-labeled_final-expected_splits2] _______
[gw0] linux -- Python 3.7.15 /opt/hostedtoolcache/Python/3.7.15/x64/bin/python
path = 'paws', config_name = 'labeled_final'
expected_splits = ['train', 'test', 'validation']
@pytest.mark.parametrize(
"path, config... | {
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https://api.github.com/repos/huggingface/datasets/issues/5200 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5200/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5200/comments | https://api.github.com/repos/huggingface/datasets/issues/5200/events | https://github.com/huggingface/datasets/issues/5200 | 1,435,831,559 | I_kwDODunzps5VlQ0H | 5,200 | Some links to canonical datasets in the docs are outdated | {
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"Thanks for catching this, I can go through the docs and replace the links to their corresponding datasets on the Hub!"
] | 2022-11-04T10:06:21Z | 2022-11-07T18:40:20Z | 2022-11-07T18:40:20Z | CONTRIBUTOR | null | null | null | As we don't have canonical datasets in the github repo anymore, some old links to them doesn't work. I don't know how many of them are there, I found link to SuperGlue here: https://huggingface.co/docs/datasets/dataset_script#multiple-configurations, probably there are more of them. These links should be replaced by li... | {
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https://api.github.com/repos/huggingface/datasets/issues/5193 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5193/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5193/comments | https://api.github.com/repos/huggingface/datasets/issues/5193/events | https://github.com/huggingface/datasets/issues/5193 | 1,433,883,780 | I_kwDODunzps5Vd1SE | 5,193 | "One or several metadata. were found, but not in the same directory or in a parent directory" | {
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"Also unrelated but still: https://huggingface.co/docs/datasets/image_dataset#generate-the-dataset\r\n```If your loading script passed the test, you should now have a dataset_infos.json file in your dataset folder.```\r\nIt's not the case anymore as it's now in the readme.md, it was confusing to me",
"And here is... | 2022-11-02T22:46:25Z | 2022-11-03T13:39:16Z | 2022-11-03T13:35:44Z | NONE | null | null | null | ### Describe the bug
When loading my own dataset, on loading it I get an error.
Here is my dataset link: https://huggingface.co/datasets/corentinm7/MyoQuant-SDH-Data
And the error after loading with:
```python
from datasets import load_dataset
load_dataset("corentinm7/MyoQuant-SDH-Data")
```
```python
Downlo... | {
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https://api.github.com/repos/huggingface/datasets/issues/5190 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5190/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5190/comments | https://api.github.com/repos/huggingface/datasets/issues/5190/events | https://github.com/huggingface/datasets/issues/5190 | 1,433,014,626 | I_kwDODunzps5VahFi | 5,190 | `path` is `None` when downloading a custom audio dataset from the Hub | {
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"Hi! Yes, this is expected behavior - we do this as a security measure to not leak local paths (this info would be useless on other users' machines anyways) and only push audio bytes. \r\n"
] | 2022-11-02T11:51:25Z | 2022-11-02T12:55:02Z | 2022-11-02T12:55:02Z | MEMBER | null | null | null | ### Describe the bug
I've created an [audio dataset](https://huggingface.co/datasets/lewtun/audio-test-push) using the `audiofolder` feature desribed in the [docs](https://huggingface.co/docs/datasets/audio_dataset#audiofolder) and then pushed it to the Hub.
Locally, I can see the `audio.path` feature is of the ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5189 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5189/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5189/comments | https://api.github.com/repos/huggingface/datasets/issues/5189/events | https://github.com/huggingface/datasets/issues/5189 | 1,432,769,143 | I_kwDODunzps5VZlJ3 | 5,189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | {
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"I have to admit I'm not a fan of this idea, as this would result in a non-consistent behavior between tabular and non-tabular datasets, which is confusing if done without the context you provided. Instead, we could consider returning a `Dataset` object rather than `DatasetDict` if there is only one split in the ge... | 2022-11-02T09:15:02Z | 2022-12-06T12:13:17Z | null | CONTRIBUTOR | null | null | null | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | {
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https://api.github.com/repos/huggingface/datasets/issues/5186 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5186/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5186/comments | https://api.github.com/repos/huggingface/datasets/issues/5186/events | https://github.com/huggingface/datasets/issues/5186 | 1,432,045,011 | I_kwDODunzps5VW0XT | 5,186 | Incorrect error message when Dataset.from_sql fails and sqlalchemy not installed | {
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"Hi! The first `Dataset.from_sql` call also outputs the \"ImportError: Using URI string without sqlalchemy installed.\" message, but you also get \"During handling of the above exception another exception occurred: ...\" after which the ValueError is printed. I agree that this behavior makes it easy to miss the ori... | 2022-11-01T20:25:51Z | 2022-11-15T18:24:39Z | 2022-11-15T18:24:39Z | CONTRIBUTOR | null | null | null | ### Describe the bug
When calling `Dataset.from_sql` (in my case, with sqlite3), it fails with a message ```ValueError: Please pass `features` or at least one example when writing data``` when I don't have `sqlalchemy` installed.
### Steps to reproduce the bug
Make a new sqlite db with `sqlite3` and `pandas` from... | {
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https://api.github.com/repos/huggingface/datasets/issues/5185 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5185/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5185/comments | https://api.github.com/repos/huggingface/datasets/issues/5185/events | https://github.com/huggingface/datasets/issues/5185 | 1,432,021,611 | I_kwDODunzps5VWupr | 5,185 | Allow passing a subset of output features to Dataset.map | {
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Currently, map does one of two things to the features (if I'm not mistaken):
* when you do not pass features, types are assumed to be equal to the input if they can be cast, and inferred otherwise
* when you pass a full specification of features, output features are set to this
However, so... | {
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https://api.github.com/repos/huggingface/datasets/issues/5183 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5183/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5183/comments | https://api.github.com/repos/huggingface/datasets/issues/5183/events | https://github.com/huggingface/datasets/issues/5183 | 1,431,418,066 | I_kwDODunzps5VUbTS | 5,183 | Loading an external dataset in a format similar to conll2003 | {
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features = datasets.Features(
{"tokens": datasets.Sequence(datasets.Value("string")),
"ner_tags": datasets.Sequence(
datasets.featu... | {
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"Yea this would be great! We would need an object detection tutorial notebook too if it doesn't already exist there. ",
"There is one: https://huggingface.co/docs/datasets/object_detection.\r\n\r\nI will start the work. "
] | 2022-11-01T07:57:26Z | 2022-11-03T01:49:57Z | 2022-11-03T01:49:57Z | MEMBER | null | null | null | Does it make sense to include links to notebooks / scripts that show how to use a dataset for training / fine-tuning a model?
For example, here in [https://huggingface.co/docs/datasets/image_classification] we could include a mention of https://github.com/huggingface/notebooks/blob/main/examples/image_classificatio... | {
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"Sure this sounds great! Would this be pure torchvision, albumentations, or something else?",
"I am considering `torchvision` and `albumentations`. Also [works with TensorFlow](https://github.com/deep-diver/segformer-tf-transformers/blob/main/notebooks/TFSegFormer_Finetune.ipynb). \r\n\r\nI am assigning the issue... | 2022-11-01T07:54:50Z | 2022-11-04T18:23:36Z | 2022-11-04T18:23:36Z | MEMBER | null | null | null | Currently, we have these guides for object detection and image classification:
* https://huggingface.co/docs/datasets/object_detection
* https://huggingface.co/docs/datasets/image_classification
I am proposing adding a similar guide for semantic segmentation.
I am happy to contribute a PR for it.
Cc: @os... | {
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https://api.github.com/repos/huggingface/datasets/issues/5180 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5180/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5180/comments | https://api.github.com/repos/huggingface/datasets/issues/5180/events | https://github.com/huggingface/datasets/issues/5180 | 1,431,012,438 | I_kwDODunzps5VS4RW | 5,180 | An example or recommendations for creating large image datasets? | {
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"The beam utilities allow to prepare a dataset as parquet in your cloud storage. From my perspective this CLI is not super easy to use, but we've been working on a new python API to prepare a dataset in your cloud storage:\r\n```python\r\nfrom datasets import load_dataset_builder\r\n\r\nbuilder = load_dataset_build... | 2022-11-01T07:38:38Z | 2022-11-02T10:17:11Z | null | MEMBER | null | null | null | I know that Apache Beam and `datasets` have [some connector utilities](https://huggingface.co/docs/datasets/beam). But it's a little unclear what we mean by "But if you want to run your own Beam pipeline with Dataflow, here is how:". What does that pipeline do?
As a user, I was wondering if we have this support for... | {
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https://api.github.com/repos/huggingface/datasets/issues/5179 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5179/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5179/comments | https://api.github.com/repos/huggingface/datasets/issues/5179/events | https://github.com/huggingface/datasets/issues/5179 | 1,430,826,100 | I_kwDODunzps5VSKx0 | 5,179 | `map()` fails midway due to format incompatibility | {
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"Cc: @lhoestq ",
"You can end up with a list instead of a tensor if all the tensors inside the list can't be stacked together - can you make sure all your inputs are tensors with the same shape ?",
"Is there an easy way to ensure it?",
"You can make sure your `tokenize` function always return tensors of the s... | 2022-11-01T03:57:59Z | 2022-11-08T11:35:26Z | 2022-11-08T11:35:26Z | MEMBER | null | null | null | ### Describe the bug
I am using the `emotion` dataset from Hub for sequence classification. After training the model, I am using it to generate predictions for all the entries present in the `validation` split of the dataset.
```py
def get_test_accuracy(model):
def fn(batch):
inputs = {k:v.to(device... | {
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https://api.github.com/repos/huggingface/datasets/issues/5178 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5178/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5178/comments | https://api.github.com/repos/huggingface/datasets/issues/5178/events | https://github.com/huggingface/datasets/issues/5178 | 1,430,800,810 | I_kwDODunzps5VSEmq | 5,178 | Unable to download the Chinese `wikipedia`, the dumpstatus.json not found! | {
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"In the dumps page of the wiki (https://dumps.wikimedia.org/zhwiki/), I found the following dumps:\r\n```\r\nIndex of /zhwiki/\r\n[../](https://dumps.wikimedia.org/)\r\n[20220701/](https://dumps.wikimedia.org/zhwiki/20220701/) 21-Aug-2022 01:48 -\r\n[202207... | 2022-11-01T03:17:55Z | 2022-11-02T08:27:15Z | 2022-11-02T08:24:29Z | NONE | null | null | null | ### Describe the bug
I tried:
`data = load_dataset('wikipedia', '20220301.zh', beam_runner='DirectRunner')`
and
`data = load_dataset("wikipedia", language="zh", date="20220301", beam_runner='DirectRunner')`
but both got:
`FileNotFoundError: Couldn't find file at https://dumps.wikimedia.org/zhwiki/20220301/dumpsta... | {
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https://api.github.com/repos/huggingface/datasets/issues/5176 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5176/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5176/comments | https://api.github.com/repos/huggingface/datasets/issues/5176/events | https://github.com/huggingface/datasets/issues/5176 | 1,430,214,539 | I_kwDODunzps5VP1eL | 5,176 | prepare dataset for cloud storage doesn't work | {
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"It looks like an issue with `gcsfs`, are you able to instantiate a `GCSFileSystem` manually ?"
] | 2022-10-31T17:28:57Z | 2022-11-09T13:45:16Z | null | NONE | null | null | null | ### Describe the bug
Following the [documentation](https://huggingface.co/docs/datasets/filesystems#load-and-save-your-datasets-using-your-cloud-storage-filesystem) and [this PR](https://github.com/huggingface/datasets/pull/4724), I was downloading and storing huggingface dataset to cloud storage.
```
from datasets ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5175 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5175/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5175/comments | https://api.github.com/repos/huggingface/datasets/issues/5175/events | https://github.com/huggingface/datasets/issues/5175 | 1,428,696,231 | I_kwDODunzps5VKCyn | 5,175 | Loading an external NER dataset | {
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I tried this code snnipet that I found here as an answer to a similar issue:
from datasets import Dataset
INPUT_COLUMNS = "ID Text NER".split()
... | {
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https://api.github.com/repos/huggingface/datasets/issues/5172 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5172/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5172/comments | https://api.github.com/repos/huggingface/datasets/issues/5172/events | https://github.com/huggingface/datasets/issues/5172 | 1,425,523,114 | I_kwDODunzps5U98Gq | 5,172 | Inconsistency behavior between handling local file protocol and other FS protocols | {
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These lines us used during load_from_disk:
```
if is_remote_filesystem(fs):
dest_dataset_dict_path = extract_path_from_uri(dataset_dict_path)
else:
fs = fsspec.filesystem("file")
dest_dataset_dict_path = dataset_dict_path
```
If a local FS is given, then it will the URL as th... | {
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https://api.github.com/repos/huggingface/datasets/issues/5170 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5170/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5170/comments | https://api.github.com/repos/huggingface/datasets/issues/5170/events | https://github.com/huggingface/datasets/issues/5170 | 1,425,301,835 | I_kwDODunzps5U9GFL | 5,170 | [Caching] Deterministic hashing of torch tensors | {
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```python
import torch
from datasets.fingerprint import Hasher
t = torch.tensor([1.])
def func(x):
return t + x
hash1 = Hasher.hash(func)
t = torch.tensor([1.])
hash2 = Hasher.hash(func)
assert hash1 == hash2
```
Also as noticed in https://discuss.huggingface.co/t/dataset-ca... | {
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https://api.github.com/repos/huggingface/datasets/issues/5165 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5165/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5165/comments | https://api.github.com/repos/huggingface/datasets/issues/5165/events | https://github.com/huggingface/datasets/issues/5165 | 1,423,616,677 | I_kwDODunzps5U2qql | 5,165 | Memory explosion when trying to access 4d tensors in datasets cast to torch or np | {
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When trying to access an item by index, in a datasets.Dataset cast to torch/np using `set_format` or `with_format`, we get a memory explosion if the item contains 4d (or above) tensors.
### Steps to reproduce the bug
MWE:
```python
from datasets import load_dataset
import numpy as np
de... | {
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https://api.github.com/repos/huggingface/datasets/issues/5162 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5162/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5162/comments | https://api.github.com/repos/huggingface/datasets/issues/5162/events | https://github.com/huggingface/datasets/issues/5162 | 1,422,461,112 | I_kwDODunzps5UyQi4 | 5,162 | Pip-compile: Could not find a version that matches dill<0.3.6,>=0.3.6 | {
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"Thanks for reporting, @Rijgersberg.\r\n\r\nWe were waiting for the release of `dill` 0.3.6, that happened 2 days ago (24 Oct 2022): https://github.com/uqfoundation/dill/releases/tag/dill-0.3.6\r\n- See comment: https://github.com/huggingface/datasets/pull/4397#discussion_r880629543\r\n\r\nAlso `multiprocess` 0.70.... | 2022-10-25T13:23:50Z | 2022-11-14T08:25:37Z | 2022-10-28T05:38:15Z | NONE | null | null | null | ### Describe the bug
When using `pip-compile` (part of `pip-tools`) to generate a pinned requirements file that includes `datasets`, a version conflict of `dill` appears.
It is caused by a transitive dependency conflict between `datasets` and `multiprocess`.
### Steps to reproduce the bug
```bash
$ echo "dataset... | {
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https://api.github.com/repos/huggingface/datasets/issues/5161 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5161/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5161/comments | https://api.github.com/repos/huggingface/datasets/issues/5161/events | https://github.com/huggingface/datasets/issues/5161 | 1,422,371,748 | I_kwDODunzps5Ux6uk | 5,161 | Dataset can’t cache model’s outputs | {
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"Addressed in https://github.com/huggingface/datasets/pull/5191 (torch.Tensor objects now produce deterministic hashes)"
] | 2022-10-25T12:19:00Z | 2022-11-03T16:12:52Z | 2022-11-03T16:12:51Z | NONE | null | null | null | ### Describe the bug
Hi,
I try to cache some outputs of teacher model( Knowledge Distillation ) by using map function of Dataset library, while every time I run my code, I still recompute all the sequences. I tested Bert Model like this, I got different hash every single run, so any idea to deal with this?
### Ste... | {
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https://api.github.com/repos/huggingface/datasets/issues/5160 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5160/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5160/comments | https://api.github.com/repos/huggingface/datasets/issues/5160/events | https://github.com/huggingface/datasets/issues/5160 | 1,422,193,938 | I_kwDODunzps5UxPUS | 5,160 | Automatically add filename for image/audio folder | {
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"Also cc @anton-l ",
"BTW the exact same holds true for the audio folder",
"I'm fine with adding a new column with the file name personally. Not sure how breaking this is though",
"@patrickvonplaten do you mean just filename or full relative path inside the repo?\r\nI think it shouldn't be breaking, at least ... | 2022-10-25T09:56:49Z | 2022-10-26T16:51:46Z | null | MEMBER | null | null | null | ### Feature request
When creating a custom audio of image dataset, it would be great to automatically have access to the filename. It should be both:
a) Automatically displayed in the viewer
b) Automatically added as a column to the dataset when doing `load_dataset`
In `diffusers` our test rely quite heavily on i... | {
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https://api.github.com/repos/huggingface/datasets/issues/5158 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5158/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5158/comments | https://api.github.com/repos/huggingface/datasets/issues/5158/events | https://github.com/huggingface/datasets/issues/5158 | 1,422,059,287 | I_kwDODunzps5UwucX | 5,158 | Fix language and license tag names in all Hub datasets | {
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"There are currently 402 datasets with deprecated \"languages\" or \"licenses\".",
"hey @albertvillanova ,i would love to work on this issue if you like.",
"Hi @ayushthe1, thanks for your offer.\r\n\r\nBut as you can see, I self-assigned this issue.\r\n\r\nI have already fixed 200 out of the 402 datasets. My sc... | 2022-10-25T08:19:29Z | 2022-10-25T11:27:26Z | 2022-10-25T10:42:19Z | MEMBER | null | null | null | While working on this:
- #5137
we realized there are still many datasets with deprecated "languages" and "licenses" tag names (instead of "language" and "license").
This is a blocking issue: no subsequent PR can be opened to modify their metadata: a ValueError will be thrown.
We should fix the "language" and ... | {
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"Hi ! Maybe it's possible to have a consistent hash for a function defined in `__main__` and a function define in a notebook.\r\n\r\nHowever for functions imported from another location, pickle uses the location to identify the code, so in that case we can't do much I believe.\r\n\r\nWould it be ok for you if we on... | 2022-10-25T01:34:33Z | 2022-11-02T15:43:22Z | 2022-11-02T15:43:22Z | CONTRIBUTOR | null | null | null | ### Feature request
I hope this is not my mistake, currently if I use `load_dataset` from a python session on a custom dataset to do the preprocessing, it will be saved in the cache and in other python sessions it will be loaded from the cache, however calling the same from a jupyter notebook does not work, meaning th... | {
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"Hi ! From the `adlfs` docs, there are two filesystems you can use:\r\n> To use the Gen1 filesystem:\r\n> - known_implementations[‘adl’] = {‘class’: ‘adlfs.AzureDatalakeFileSystem’}\r\n> \r\n> To use the Gen2 filesystem:\r\n> - known_implementations[‘abfs’] = {‘class’: ‘adlfs.AzureBlobFileSystem’}\r\n\r\nIf I'm no... | 2022-10-25T00:43:18Z | 2022-11-17T23:37:09Z | 2022-11-17T23:37:08Z | NONE | null | null | null | ### Describe the bug
When using the DatasetBuilder method with the credentials for the cloud storage Azure Data Lake (adl) Gen2, the following error is showed:
```
Traceback (most recent call last):
File "download_hf_dataset.py", line 143, in <module>
main()
File "download_hf_dataset.py", line 102, in mai... | {
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https://api.github.com/repos/huggingface/datasets/issues/5153 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5153/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5153/comments | https://api.github.com/repos/huggingface/datasets/issues/5153/events | https://github.com/huggingface/datasets/issues/5153 | 1,420,833,457 | I_kwDODunzps5UsDKx | 5,153 | default Image/AudioFolder infers labels when there is no metadata files even if there is only one dir | {
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"Makes sense! For the last structure, we could count the path segments (delimited by \"/\" for URLs and `os.sep` for local paths) to ensure all inferred labels are on the same level. Otherwise, I think it's safe to assume they are meaningless and ignore them.\r\n"
] | 2022-10-24T13:28:18Z | 2022-11-15T16:31:10Z | 2022-11-15T16:31:09Z | CONTRIBUTOR | null | null | null | ### Describe the bug
By default FolderBasedBuilder infers labels if there is not metadata files, even if it's meaningless (for example, they are in a single directory or in the root folder, see this repo as an example: https://huggingface.co/datasets/patrickvonplaten/audios
As this is a corner case for quick expl... | {
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"also asked in https://discuss.huggingface.co/t/create-multiple-dataset-configs-with-push-to-hub-method/25480"
] | 2022-10-24T12:59:18Z | 2022-11-04T14:55:20Z | null | CONTRIBUTOR | null | null | null | Now one can push only different splits within one default config of a dataset.
Would be nice to allow something like:
```
ds.push_to_hub(repo_name, config=config_name)
```
I'm not sure, but this will probably require changes in `data_files.py` patterns. If so, it would also allow to create different configs fo... | {
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"Hi! I can't reproduce the error following these steps. Can you please provide a reproducible example?",
"I faced the same issue:\r\n\r\n### Repro\r\n```\r\n!pip install datasets==2.6.1\r\nimport datasets as Dataset\r\ndataset = Dataset.from_pandas(dataframe)\r\ndataset.save_to_disk(local)\r\n\r\n!pip install dat... | 2022-10-24T11:32:36Z | 2023-01-03T15:26:00Z | null | NONE | null | null | null | ### Describe the bug
Loading a dataset_dict from disk with `load_from_disk` is now creating a `KeyError "length"` that was not occurring in v2.5.2.
Context:
- Each individual dataset in the dict is created with `Dataset.from_pandas`
- The dataset_dict is create from a dict of `Dataset`s, e.g., `DatasetDict({"tr... | {
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"Hi, @santule.\r\n\r\nWe have transferred all dataset scripts from GitHub to the Hugging Face Hub: https://huggingface.co/datasets\r\n- Concretely, you have \"rvl_cdip\" here: https://huggingface.co/datasets/rvl_cdip\r\n\r\nTo be able to load them, you should update your `datasets` library:\r\n```\r\npip install -U... | 2022-10-24T04:57:42Z | 2022-10-24T12:23:47Z | 2022-10-24T06:25:28Z | NONE | null | null | null | Hi,
I am trying to use load_dataset to load the official "rvl_cdip" dataset but getting an error.
dataset = load_dataset("rvl_cdip")
Couldn't find 'rvl_cdip' on the Hugging Face Hub either: FileNotFoundError: Couldn't find the file at https://raw.githubusercontent.com/huggingface/datasets/master/datasets/rvl_cdi... | {
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"Hi ! In the `transformers` issue the object to not hash is a `Pool` - I think you can instantiate it inside your function instead of passing it as a parameter. It's good practice that your function and all its fn_kwargs are picklable, in case you want to parallelize `map` using `num_proc>1`\r\n\r\nFor the other ca... | 2022-10-22T21:46:38Z | 2022-11-01T22:19:07Z | null | NONE | null | null | null | ### Feature request
`dataset.map` accepts a `fn_kwargs` that is passed to `fn`. Currently, the whole `fn_kwargs` is used by `fingerprint_transform` to calculate the new fingerprint.
I'd like to be able to inform `fingerprint_transform` which `fn_kwargs` shoud/shouldn't be taken into account during hashing.
Of co... | {
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https://api.github.com/repos/huggingface/datasets/issues/5145 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5145/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5145/comments | https://api.github.com/repos/huggingface/datasets/issues/5145/events | https://github.com/huggingface/datasets/issues/5145 | 1,418,005,452 | I_kwDODunzps5UhQvM | 5,145 | Dataset order is not deterministic with ZIP archives and `iter_files` | {
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"Thanks for reporting ! The issue doesn't come from shuffling, but from `beans` row order not being deterministic:\r\n\r\nhttps://huggingface.co/datasets/beans/blob/main/beans.py uses `dl_manager.iter_files` on ZIP archives and the file order doesn't seen to be deterministic and changes across machines",
"Thank y... | 2022-10-21T09:00:03Z | 2022-10-27T09:51:49Z | 2022-10-27T09:51:10Z | CONTRIBUTOR | null | null | null | ### Describe the bug
For the `beans` dataset (did not try on other), the order of samples is not the same on different machines. Tested on my local laptop, github actions machine, and ec2 instance. The three yield a different order.
### Steps to reproduce the bug
In a clean docker container or conda environmen... | {
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"Thanks for reporting, @zhaowei-wang-nlp.\r\n\r\nYou are right, the documentation is confusing on the behavior of `remove_columns`. We should better explain it. ",
"This is a duplicate of https://github.com/huggingface/datasets/issues/2343.",
"I'm closing this issue because as @mariosasko pointed out, it is a d... | 2022-10-21T08:37:53Z | 2022-11-15T14:15:10Z | 2022-11-15T14:15:10Z | NONE | null | null | null | ### Describe the bug
The page [process](https://huggingface.co/docs/datasets/process) says this about the parameter `remove_columns` of the function `map`:
When you remove a column, it is only removed after the example has been provided to the mapped function.
So it seems that the `remove_columns` parameter remo... | {
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https://api.github.com/repos/huggingface/datasets/issues/5143 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5143/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5143/comments | https://api.github.com/repos/huggingface/datasets/issues/5143/events | https://github.com/huggingface/datasets/issues/5143 | 1,416,837,186 | I_kwDODunzps5UczhC | 5,143 | DownloadManager Git LFS support | {
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"Hey ! Actually it works, just pass the right URL ;)\r\nThe URL must be the one with “/resolve/”\r\n\r\ne.g. https://huggingface.co/datasets/imagenet-1k/resolve/main/data/test_images.tar.gz\r\n\r\nYou can even pass a relative path to the dl_manager instead, like `dl_manager.download(\"data/test_images.tar.gz\")`",
... | 2022-10-20T15:29:29Z | 2022-10-20T17:17:10Z | 2022-10-20T17:17:10Z | CONTRIBUTOR | null | null | null | ### Feature request
Maybe I'm mistaken but the `DownloadManager` does not support extracting git lfs files out of the box right?
Using `dl_manager.download()` or `dl_manager.download_and_extract()` still returns lfs files afaict.
Is there a good way to write a dataset loading script for a repo with lfs files?
##... | {
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https://api.github.com/repos/huggingface/datasets/issues/5137 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5137/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5137/comments | https://api.github.com/repos/huggingface/datasets/issues/5137/events | https://github.com/huggingface/datasets/issues/5137 | 1,414,642,723 | I_kwDODunzps5UUbwj | 5,137 | Align task tags in dataset metadata | {
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"I removed all the invalid task_ids in datasts without namespace, based on the <s>(internal)</s> types.ts",
"(Types.ts is not internal it's public)",
"I have opened PRs to fix the task_ids in all datasets within a namespace as well.\r\n\r\nWorking on task_categories...",
"For future reference: this fix had so... | 2022-10-19T09:41:42Z | 2022-11-10T05:25:58Z | 2022-10-25T06:17:00Z | MEMBER | null | null | null | ## Describe
Once we have agreed on a common naming for task tags for all open source projects, we should align on them.
## Steps
- [x] Align task tags in canonical datasets
- [x] task_categories: 4 datasets
- [x] task_ids (by @lhoestq)
- [x] Open PRs in community datasets
- [x] task_categories: 451 datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/5135 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5135/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5135/comments | https://api.github.com/repos/huggingface/datasets/issues/5135/events | https://github.com/huggingface/datasets/issues/5135 | 1,414,413,519 | I_kwDODunzps5UTjzP | 5,135 | Update docs once dataset scripts transferred to the Hub | {
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As discussed in:
- https://github.com/huggingface/hub-docs/pull/423#pullrequestreview-1146083701
we should update our docs once dataset scripts have been transferred to the Hub (and removed from GitHub):
- #4974
Concretely:
- [x] Datasets on GitHub (legacy): https://huggingface.co/docs/dat... | {
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"hey ,i would like to work on this issue . Please assign it to me.",
"hey @mariosasko , i made a pr for this issue. Could you please review it.\r\nAlso i found multiple `OSError` in `extract.py` file which i thought could be replaced too but wasn't sure about them.\r\nPlease do tell if that also needs to be done.... | 2022-10-18T17:53:46Z | 2022-10-25T15:56:59Z | 2022-10-25T15:56:59Z | CONTRIBUTOR | null | null | null | According to the official Python docs, `OSError` should be thrown in the following situations:
> This exception is raised when a system function returns a system-related error, including I/O failures such as “file not found” or “disk full” (not for illegal argument types or other incidental errors).
Hence, it makes... | {
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https://api.github.com/repos/huggingface/datasets/issues/5133 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5133/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5133/comments | https://api.github.com/repos/huggingface/datasets/issues/5133/events | https://github.com/huggingface/datasets/issues/5133 | 1,413,623,462 | I_kwDODunzps5UQi6m | 5,133 | Tensor operation not functioning in dataset mapping | {
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"Hi! The Torch ops in your snippet are not equivalent to the NumPy ones, hence the difference. You can get the same behavior by replacing the line `feature = torch.mean(feature, dim=1)` with `feature = feature.squeeze().mean(1)` .",
"> Hi! The Torch ops in your snippet are not equivalent to the NumPy ones, hence ... | 2022-10-18T17:53:35Z | 2022-10-19T04:15:45Z | 2022-10-19T04:15:44Z | NONE | null | null | null | ## Describe the bug
I'm doing a torch.mean() operation in data preprocessing, and it's not working.
## Steps to reproduce the bug
```
from transformers import pipeline
import torch
import numpy as np
from datasets import load_dataset
device = 'cuda:0'
raw_dataset = load_dataset("glue", "sst2")
feature_extra... | {
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"I can take this! #self-assign",
"#self-assign",
"@lazarust i'm already working on this issue :smile: ",
"#self-assign",
"hey @mariosasko , i made a pr for this issue. Could you please review it."
] | 2022-10-18T17:41:05Z | 2022-10-25T15:56:46Z | 2022-10-25T15:56:46Z | CONTRIBUTOR | null | null | null | The `num_proc` parameter is only present in `DownloadManager.extract` but not in `StreamingDownloadManager.extract`, making it impossible to support streaming in the dataset scripts that use it (`openwebtext` and `the_pile_stack_exchange`). We can avoid this situation by deprecating this parameter and passing `Download... | {
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https://api.github.com/repos/huggingface/datasets/issues/5129 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5129/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5129/comments | https://api.github.com/repos/huggingface/datasets/issues/5129/events | https://github.com/huggingface/datasets/issues/5129 | 1,413,031,664 | I_kwDODunzps5UOSbw | 5,129 | unexpected `cast` or `class_encode_column` result after `rename_column` | {
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"Hi! Unfortunately, I can't reproduce this issue locally (in Python 3.7/3.10) or in Colab. I would assume this is due to a bug we fixed in the latest release, but your version is up-to-date, so I'm not sure if there is something we can do to help...",
"Hi, 方子东. I tried running the code with exact the same configu... | 2022-10-18T11:15:24Z | 2022-10-19T03:02:26Z | 2022-10-19T03:02:26Z | NONE | null | null | null | ## Describe the bug
When invoke `cast` or `class_encode_column` to a colunm renamed by `rename_column` , it will convert all the variables in this column into one variable. I also run this script in version 2.5.2, this bug does not appear. So I switched to the older version.
## Steps to reproduce the bug
```python... | {
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https://api.github.com/repos/huggingface/datasets/issues/5123 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5123/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5123/comments | https://api.github.com/repos/huggingface/datasets/issues/5123/events | https://github.com/huggingface/datasets/issues/5123 | 1,410,828,756 | I_kwDODunzps5UF4nU | 5,123 | datasets freezes with streaming mode in multiple-gpu | {
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"@lhoestq I tested the script without accelerator, and I confirm this is due to datasets part as this gets similar results without accelerator.",
"Hi ! You said it works on 1 GPU but doesn't wortk without accelerator - what's the difference between running on 1 GPU and running without accelerator in your case ?"... | 2022-10-17T03:28:16Z | 2023-01-16T10:54:44Z | null | NONE | null | null | null | ## Describe the bug
Hi. I am using this dataloader, which is for processing large datasets in streaming mode mentioned in one of examples of huggingface. I am using it to read c4: https://github.com/huggingface/transformers/blob/b48ac1a094e572d6076b46a9e4ed3e0ebe978afc/examples/research_projects/codeparrot/scripts/cod... | {
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https://api.github.com/repos/huggingface/datasets/issues/5118 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5118/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5118/comments | https://api.github.com/repos/huggingface/datasets/issues/5118/events | https://github.com/huggingface/datasets/issues/5118 | 1,410,547,373 | I_kwDODunzps5UEz6t | 5,118 | Installing `datasets` on M1 computers | {
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"Thanks for reporting, @david1542."
] | 2022-10-16T16:50:08Z | 2022-10-19T09:10:08Z | 2022-10-19T09:10:08Z | CONTRIBUTOR | null | null | null | ## Describe the bug
I wanted to install `datasets` dependencies on my M1 (in order to start contributing to the project). However, I got an error regarding `tensorflow`.
On M1, `tensorflow-macos` needs to be installed instead. Can we add a conditional requirement, so that `tensorflow-macos` would be installed on M1... | {
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https://api.github.com/repos/huggingface/datasets/issues/5117 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5117/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5117/comments | https://api.github.com/repos/huggingface/datasets/issues/5117/events | https://github.com/huggingface/datasets/issues/5117 | 1,409,571,346 | I_kwDODunzps5UBFoS | 5,117 | Progress bars have color red and never completed to 100% | {
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"Hi @echatzikyriakidis, thanks for submitting the issue.\r\nWhich shell are you using exactly? I tried to run the command you sent, but I don't see colors at all 🧐\r\n\r\nI tried from bash and zsh as well.",
"Hi @david1542 ,\r\n\r\nI use Google Colab.\r\n",
"Got it. I [created a PR](https://github.com/huggingf... | 2022-10-14T16:12:30Z | 2022-10-23T12:58:41Z | 2022-10-23T12:58:41Z | NONE | null | null | null | ## Describe the bug
Progress bars after transformative operations turn in red and never be completed to 100%
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset('rotten_tomatoes', split='test').filter(lambda o: True)
```
## Expected results
Progress bar should be 100% an... | {
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https://api.github.com/repos/huggingface/datasets/issues/5114 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5114/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5114/comments | https://api.github.com/repos/huggingface/datasets/issues/5114/events | https://github.com/huggingface/datasets/issues/5114 | 1,409,236,738 | I_kwDODunzps5T_z8C | 5,114 | load_from_disk with remote filesystem fails due to a wrong temporary local folder path | {
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"Hi Hubert! Could you please probably create a publicly available `gs://` dataset link? I think this would be easier for others to directly start to debug.",
"What seems to work is to change the line to:\r\n```\r\nfs.download(src_dataset_path, dataset_path.parent.as_posix(), recursive=True)\r\n```"
] | 2022-10-14T11:54:53Z | 2022-11-19T07:13:10Z | null | CONTRIBUTOR | null | null | null | ## Describe the bug
The function load_from_disk fails when using a remote filesystem because of a wrong temporary path generation in the load_from_disk method of arrow_dataset.py:
```python
if is_remote_filesystem(fs):
src_dataset_path = extract_path_from_uri(dataset_path)
dataset_path = Dataset._build... | {
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https://api.github.com/repos/huggingface/datasets/issues/5112 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5112/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5112/comments | https://api.github.com/repos/huggingface/datasets/issues/5112/events | https://github.com/huggingface/datasets/issues/5112 | 1,409,143,409 | I_kwDODunzps5T_dJx | 5,112 | Bug with filtered indices | {
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"The issue is here:\r\nhttps://github.com/huggingface/datasets/blob/3ad9644b9a2e4558dd1d0f1e43c67658674e6228/src/datasets/arrow_dataset.py#L2964",
"@PartiallyTyped, @Muennighoff: the issue is fixed.\r\n\r\nWe are planning to make a patch release today.",
"Thanks a lot for the swift response! For a brief moment ... | 2022-10-14T10:35:47Z | 2022-10-14T13:55:03Z | 2022-10-14T12:11:45Z | MEMBER | null | null | null | ## Describe the bug
As reported by @PartiallyTyped (and by @Muennighoff):
- https://github.com/huggingface/datasets/issues/5111#issuecomment-1278652524
There is an issue with the indices of a filtered dataset.
## Steps to reproduce the bug
```python
ds = Dataset.from_dict({"num": [0, 1, 2, 3]})
ds = ds.filte... | {
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"Same bug exists with `num_proc=1` on colab. `3.7.14 (default, Sep 8 2022, 00:06:44) [GCC 7.5.0]` ",
"Thanks for reporting, @loubnabnl and for the additional information, @PartiallyTyped.\r\n\r\nHowever, I'm not able to reproduce this issue, neither locally nor on Colab:\r\n```\r\nDataset({\r\n features: ['re... | 2022-10-13T17:00:55Z | 2022-10-17T08:26:59Z | 2022-10-14T14:59:59Z | NONE | null | null | null | ## Describe the bug
When mapping is used on a dataset with more than one process, there is a weird behavior when trying to use `filter` , it's like only the samples from one worker are retrieved, one needs to specify the same `num_proc` in filter for it to work properly. This doesn't happen with `datasets` version 2.5... | {
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"The hash used for caching is computed by pickling recursively the function passed to `map`. Maybe some objects don't have the same hash across sessions. In particular you can check the hash of your model using\r\n```python\r\nfrom datasets.fingerprint import Hasher\r\nobj = AutoModel.from_config(config=config, ad... | 2022-10-13T09:12:58Z | 2022-10-17T10:38:45Z | 2022-10-17T10:38:45Z | CONTRIBUTOR | null | null | null | ## Describe the bug
The cache loading is not working as expected for some class methods with a model stored in an attribute.
The new fingerprint for `_map_single` is not the same at each run. The hasher generate a different hash for the class method.
This comes from `dumps` function in `datasets.utils.py_utils` whic... | {
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"cc @lhoestq ",
"Thanks for reporting, @cakiki.\r\n\r\nI would say the deletion of the dir is an expected behavior though...",
"`dask.to_parquet` has an \"overwrite\" parameter and default is `False`, we could also have something similar",
"Thank you both for your feedback!\r\n\r\n@albertvillanova I think I m... | 2022-10-12T11:53:33Z | 2022-10-20T11:53:59Z | null | CONTRIBUTOR | null | null | null | ## Describe the bug
The builder correctly creates the `output_dir` folder if it doesn't exist, but if the folder exists everything within it is deleted. Specifying `"."` as the `output_dir` deletes everything in your current dir but also leads to **another bug** whose traceback is the following:
```
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https://api.github.com/repos/huggingface/datasets/issues/5102 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5102/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5102/comments | https://api.github.com/repos/huggingface/datasets/issues/5102/events | https://github.com/huggingface/datasets/issues/5102 | 1,404,746,554 | I_kwDODunzps5Turs6 | 5,102 | Error in create a dataset from a Python generator | {
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"Hi, thanks for reporting! The last line should be `dataset = Dataset.from_generator(my_gen)`.",
"Can I work on this one?"
] | 2022-10-11T14:28:58Z | 2022-10-12T11:31:56Z | 2022-10-12T11:31:56Z | NONE | null | null | null | ## Describe the bug
In HOW-TO-GUIDES > Load > [Python generator](https://huggingface.co/docs/datasets/v2.5.2/en/loading#python-generator), the code example defines the `my_gen` function, but when creating the dataset, an undefined `my_dict` is passed in.
```Python
>>> from datasets import Dataset
>>> def my_gen... | {
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https://api.github.com/repos/huggingface/datasets/issues/5099 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5099/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5099/comments | https://api.github.com/repos/huggingface/datasets/issues/5099/events | https://github.com/huggingface/datasets/issues/5099 | 1,404,370,191 | I_kwDODunzps5TtP0P | 5,099 | datasets doesn't support # in data paths | {
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"`datasets` doesn't seem to urlencode the directory names here\r\n\r\nhttps://github.com/huggingface/datasets/blob/7feeb5648a63b6135a8259dedc3b1e19185ee4c7/src/datasets/utils/file_utils.py#L109-L111\r\n\r\nfor example we should have\r\n```python\r\nfrom datasets.utils.file_utils import hf_hub_url\r\n\r\nurl = hf_hu... | 2022-10-11T10:05:32Z | 2022-10-13T13:14:20Z | 2022-10-13T13:14:20Z | NONE | null | null | null | ## Describe the bug
dataset files with `#` symbol their paths aren't read correctly.
## Steps to reproduce the bug
The data in folder `c#`of this [dataset](https://huggingface.co/datasets/loubnabnl/bigcode_csharp) can't be loaded. While the folder `c_sharp` with the same data is loaded properly
```python
ds = lo... | {
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https://api.github.com/repos/huggingface/datasets/issues/5098 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5098/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5098/comments | https://api.github.com/repos/huggingface/datasets/issues/5098/events | https://github.com/huggingface/datasets/issues/5098 | 1,404,058,518 | I_kwDODunzps5TsDuW | 5,098 | Classes label error when loading symbolic links using imagefolder | {
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"It can be solved temporarily by remove `resolve` in \r\nhttps://github.com/huggingface/datasets/blob/bef23be3d9543b1ca2da87ab2f05070201044ddc/src/datasets/data_files.py#L278",
"Hi, thanks for reporting and suggesting a fix! We still need to account for `.`/`..` in the file path, so a more robust fix would be `P... | 2022-10-11T06:10:58Z | 2022-11-14T14:40:20Z | 2022-11-14T14:40:20Z | NONE | null | null | null | **Is your feature request related to a problem? Please describe.**
Like this: #4015
When there are **symbolic links** to pictures in the data folder, the parent folder name of the **real file** will be used as the class name instead of the parent folder of the symbolic link itself. Can you give an option to decide wh... | {
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https://api.github.com/repos/huggingface/datasets/issues/5097 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5097/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5097/comments | https://api.github.com/repos/huggingface/datasets/issues/5097/events | https://github.com/huggingface/datasets/issues/5097 | 1,403,679,353 | I_kwDODunzps5TqnJ5 | 5,097 | Fatal error with pyarrow/libarrow.so | {
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"Thanks for reporting, @catalys1.\r\n\r\nThis seems a duplicate of:\r\n- #3310 \r\n\r\nThe source of the problem is in PyArrow:\r\n- [ARROW-15141: [C++] Fatal error condition occurred in aws_thread_launch](https://issues.apache.org/jira/browse/ARROW-15141)\r\n- [ARROW-17501: [C++] Fatal error condition occurred in ... | 2022-10-10T20:29:04Z | 2022-10-11T06:56:01Z | 2022-10-11T06:56:00Z | NONE | null | null | null | ## Describe the bug
When using datasets, at the very end of my jobs the program crashes (see trace below).
It doesn't seem to affect anything, as it appears to happen as the program is closing down. Just importing `datasets` is enough to cause the error.
## Steps to reproduce the bug
This is sufficient to reprodu... | {
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https://api.github.com/repos/huggingface/datasets/issues/5096 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5096/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5096/comments | https://api.github.com/repos/huggingface/datasets/issues/5096/events | https://github.com/huggingface/datasets/issues/5096 | 1,403,379,816 | I_kwDODunzps5TpeBo | 5,096 | Transfer some canonical datasets under an organization namespace | {
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"The transfer of the dummy dataset to the dummy org works as expected:\r\n```python\r\nIn [1]: from datasets import load_dataset; ds = load_dataset(\"dummy_canonical_dataset\", download_mode=\"force_redownload\"); ds\r\nDownloading builder script: 100%|███████████████████████████████████████████████████████████████... | 2022-10-10T15:44:31Z | 2023-02-17T15:33:18Z | null | MEMBER | null | null | null | As discussed during our @huggingface/datasets meeting, we are planning to move some "canonical" dataset scripts under their corresponding organization namespace (if this does not exist).
On the contrary, if the dataset already exists under the organization namespace, we are deprecating the canonical one (and eventua... | {
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https://api.github.com/repos/huggingface/datasets/issues/5094 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5094/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5094/comments | https://api.github.com/repos/huggingface/datasets/issues/5094/events | https://github.com/huggingface/datasets/issues/5094 | 1,403,214,950 | I_kwDODunzps5To1xm | 5,094 | Multiprocessing with `Dataset.map` and `PyTorch` results in deadlock | {
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"Hi ! Could it be an Out of Memory issue that could have killed one of the processes ? can you check your memory ?",
"Hi! I don't think it is a memory issue. I'm monitoring the main and spawn python processes and threads with `htop` and the memory does not peak. Besides, the example I've posted above should not b... | 2022-10-10T13:50:56Z | 2022-10-18T16:18:53Z | null | NONE | null | null | null | ## Describe the bug
There seems to be an issue with using multiprocessing with `datasets.Dataset.map` (i.e. setting `num_proc` to a value greater than one) combined with a function that uses `torch` under the hood. The subprocesses that `datasets.Dataset.map` spawns [a this step](https://github.com/huggingface/datase... | {
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https://api.github.com/repos/huggingface/datasets/issues/5093 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5093/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5093/comments | https://api.github.com/repos/huggingface/datasets/issues/5093/events | https://github.com/huggingface/datasets/issues/5093 | 1,402,939,660 | I_kwDODunzps5TnykM | 5,093 | Mismatch between tutoriel and doc | {
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"Hi, thanks for reporting! This line should be replaced with \r\n```python\r\ndataset = dataset.map(lambda examples: tokenizer(examples[\"text\"], return_tensors=\"np\"), batched=True)\r\n```\r\nfor it to work (the `return_tensors` part inside the `tokenizer` call).",
"Can I work on this?",
"Fixed in https://gi... | 2022-10-10T10:23:53Z | 2022-10-10T17:51:15Z | 2022-10-10T17:51:14Z | CONTRIBUTOR | null | null | null | ## Describe the bug
In the "Process text data" tutorial, [`map` has `return_tensors` as kwarg](https://huggingface.co/docs/datasets/main/en/nlp_process#map). It does not seem to appear in the [function documentation](https://huggingface.co/docs/datasets/main/en/package_reference/main_classes#datasets.Dataset.map), nor... | {
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"Nice!!"
] | 2022-10-07T12:31:56Z | 2022-10-08T07:07:36Z | 2022-10-08T07:07:36Z | MEMBER | null | null | null | ## Describe the bug
We have discovered that sometimes there were sync issues between GitHub and Hub datasets, after a merge commit to main branch.
For example:
- this merge commit: https://github.com/huggingface/datasets/commit/d74a9e8e4bfff1fed03a4cab99180a841d7caf4b
- was not properly synced with the Hub: https... | {
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] | open | false | null | [] | [] | 2022-10-07T08:07:03Z | 2022-10-07T08:07:03Z | null | NONE | null | null | null | **Is your feature request related to a problem? Please describe.**
When a process (`map`, `filter`, etc.) crashes part-way through, you lose all progress.
**Describe the solution you'd like**
It would be good if the cache reflected the partial progress, so that after we restart the script, the process can restart ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5088 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5088/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5088/comments | https://api.github.com/repos/huggingface/datasets/issues/5088/events | https://github.com/huggingface/datasets/issues/5088 | 1,400,530,412 | I_kwDODunzps5TemXs | 5,088 | load_datasets("json", ...) don't read local .json.gz properly | {
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"Hi @junwang-wish, thanks for reporting.\r\n\r\nUnfortunately, I'm not able to reproduce the bug. Which version of `datasets` are you using? Does the problem persist if you update `datasets`?\r\n```shell\r\npip install -U datasets\r\n``` ",
"Thanks @albertvillanova I updated `datasets` from `2.5.1` to `2.5.2` and... | 2022-10-07T02:16:58Z | 2022-10-07T14:43:16Z | null | NONE | null | null | null | ## Describe the bug
I have a local file `*.json.gz` and it can be read by `pandas.read_json(lines=True)`, but cannot be read by `load_datasets("json")` (resulting in 0 lines)
## Steps to reproduce the bug
```python
fpath = '/data/junwang/.cache/general/57b6f2314cbe0bc45dda5b78f0871df2/test.json.gz'
ds_panda = Da... | {
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"FYI @lewtun ",
"Hi @km5ar, thanks for reporting.\r\n\r\nThis should be fixed in the notebook:\r\n- the filename `datasets-issues-with-hf-doc-builder.jsonl` no longer exists on the repo; instead, current filename is `datasets-issues-with-comments.jsonl`\r\n- see: https://huggingface.co/datasets/lewtun/github-issu... | 2022-10-06T19:48:58Z | 2022-10-07T15:12:01Z | 2022-10-07T15:12:01Z | NONE | null | null | null | ## Describe the bug
I was following chap 5 from huggingface course: https://huggingface.co/course/chapter5/6?fw=tf
However, I'm not able to download the datasets, with a 404 erros
<img width="1160" alt="iShot2022-10-06_15 54 50" src="https://user-images.githubusercontent.com/54015474/194406327-ae62c2f3-1da5-... | {
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"~~It seems like #5043 fix (merged recently) is the root cause of such behaviour. When we empty indices mapping (because the dataset length equals to zero), we can no longer get column item like: `ds_filter_2['sentence']` which uses\r\n`ds_filter_1._indices.column(0)`~~\r\n\r\n**UPDATE:**\r\nEmpty datasets are retu... | 2022-10-06T18:18:49Z | 2022-10-07T19:06:02Z | 2022-10-07T18:40:26Z | NONE | null | null | null | ## Describe the bug
When filtering a dataset twice, where the first result is an empty dataset, the second dataset seems corrupted.
## Steps to reproduce the bug
```python
datasets = load_dataset("glue", "sst2")
dataset_split = datasets['validation']
ds_filter_1 = dataset_split.filter(lambda x: False) # ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5083 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5083/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5083/comments | https://api.github.com/repos/huggingface/datasets/issues/5083/events | https://github.com/huggingface/datasets/issues/5083 | 1,399,842,514 | I_kwDODunzps5Tb-bS | 5,083 | Support numpy/torch/tf/jax formatting for IterableDataset | {
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In particular this code should return a numpy array:
```python
from datasets import load_dataset
ds = load_dataset("imagenet-1k", split="train", streaming=True).with_format("np")
print(next(iter(ds))["image"])
```
Right now it returns a PIL.Image.
S... | {
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https://api.github.com/repos/huggingface/datasets/issues/5081 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5081/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5081/comments | https://api.github.com/repos/huggingface/datasets/issues/5081/events | https://github.com/huggingface/datasets/issues/5081 | 1,399,340,050 | I_kwDODunzps5TaDwS | 5,081 | Bug loading `sentence-transformers/parallel-sentences` | {
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"tagging @nreimers ",
"The dataset is sadly not really compatible to be loaded with `load_dataset`. So far it is better to git clone it and to use the files directly.\r\n\r\nA data loading script would be needed to be added to this dataset. But this was too much overhead / not really intuitive how to create it.",... | 2022-10-06T10:47:51Z | 2022-10-11T10:00:48Z | null | CONTRIBUTOR | null | null | null | ## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("sentence-transformers/parallel-sentences")
```
raises this:
```
/home/phmay/miniconda3/envs/paraphrase-mining/lib/python3.9/site-packages/datasets/download/streaming_download_manager.py:697: FutureWarning: the '... | {
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https://api.github.com/repos/huggingface/datasets/issues/5080 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5080/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5080/comments | https://api.github.com/repos/huggingface/datasets/issues/5080/events | https://github.com/huggingface/datasets/issues/5080 | 1,398,849,565 | I_kwDODunzps5TYMAd | 5,080 | Use hfh for caching | {
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"There is some discussion in https://github.com/huggingface/huggingface_hub/pull/1088 if it can help :)"
] | 2022-10-06T05:51:58Z | 2022-10-06T14:26:05Z | null | MEMBER | null | null | null | ## Is your feature request related to a problem?
As previously discussed in our meeting with @Wauplin and agreed on our last datasets team sync meeting, I'm investigating how `datasets` can use `hfh` for caching.
## Describe the solution you'd like
Due to the peculiarities of the `datasets` cache, I would prop... | {
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"@mariosasko I've raised a PR #5076 against this issue. Please help to review. Thanks."
] | 2022-10-05T14:14:18Z | 2022-10-07T14:33:28Z | 2022-10-07T14:33:28Z | CONTRIBUTOR | null | null | null | Throw EnvironmentError instead of OSError ([link](https://github.com/huggingface/datasets/blob/6ad430ba0cdeeb601170f732d4bd977f5c04594d/src/datasets/arrow_dataset.py#L4306) to the line) in `push_to_hub` when the Hub token is not present. | {
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https://api.github.com/repos/huggingface/datasets/issues/5074 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5074/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5074/comments | https://api.github.com/repos/huggingface/datasets/issues/5074/events | https://github.com/huggingface/datasets/issues/5074 | 1,397,850,352 | I_kwDODunzps5TUYDw | 5,074 | Replace AssertionErrors with more meaningful errors | {
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"Hi, can I pick up this issue?",
"#self-assign",
"Looks like the top-level `datasource` directory was removed when https://github.com/huggingface/datasets/pull/4974 was merged, so there are 3 source files to fix."
] | 2022-10-05T14:03:55Z | 2022-10-07T14:33:11Z | 2022-10-07T14:33:11Z | CONTRIBUTOR | null | null | null | Replace the AssertionErrors with more meaningful errors such as ValueError, TypeError, etc.
The files with AssertionErrors that need to be replaced:
```
src/datasets/arrow_reader.py
src/datasets/builder.py
src/datasets/utils/version.py
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/5070 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5070/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5070/comments | https://api.github.com/repos/huggingface/datasets/issues/5070/events | https://github.com/huggingface/datasets/issues/5070 | 1,396,765,647 | I_kwDODunzps5TQPPP | 5,070 | Support default config name when no builder configs | {
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"Thank you for creating this feature request, Albert.\r\n\r\nFor context this is the datatest where Albert has been helping me to switch to on-the-fly split config https://huggingface.co/datasets/HuggingFaceM4/cm4-synthetic-testing\r\n\r\nand the attempt to switch on-the-fly splits was here: https://huggingface.co/... | 2022-10-04T19:49:35Z | 2022-10-06T14:40:26Z | 2022-10-06T14:40:26Z | MEMBER | null | null | null | **Is your feature request related to a problem? Please describe.**
As discussed with @stas00, we could support defining a default config name, even if no predefined allowed config names are set. That is, support `DEFAULT_CONFIG_NAME`, even when `BUILDER_CONFIGS` is not defined.
**Additional context**
In order to ... | {
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https://api.github.com/repos/huggingface/datasets/issues/5061 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5061/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5061/comments | https://api.github.com/repos/huggingface/datasets/issues/5061/events | https://github.com/huggingface/datasets/issues/5061 | 1,395,476,770 | I_kwDODunzps5TLUki | 5,061 | `_pickle.PicklingError: logger cannot be pickled` in multiprocessing `map` | {
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"This is maybe related to python 3.10, do you think you could try on 3.8 ?\r\n\r\nIn the meantime we'll keep improving the support for 3.10. Let me add a dedicated CI",
"I did some binary search and seems like the root cause is either `multiprocess` or `dill`. python 3.10 is fine. Specifically:\r\n- `multiprocess... | 2022-10-03T23:51:38Z | 2022-10-14T16:44:54Z | null | NONE | null | null | null | ## Describe the bug
When I `map` with multiple processes, this error occurs. The `.name` of the `logger` that fails to pickle in the final line is `datasets.fingerprint`.
```
File "~/project/dataset.py", line 204, in <dictcomp>
split: dataset.map(
File ".../site-packages/datasets/arrow_dataset.py", line 24... | {
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https://api.github.com/repos/huggingface/datasets/issues/5060 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5060/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5060/comments | https://api.github.com/repos/huggingface/datasets/issues/5060/events | https://github.com/huggingface/datasets/issues/5060 | 1,395,382,940 | I_kwDODunzps5TK9qc | 5,060 | Unable to Use Custom Dataset Locally | {
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"Hi ! I opened a PR in your repo to fix this :)\r\nhttps://huggingface.co/datasets/zpn/pubchem_selfies/discussions/7\r\n\r\nbasically you need to use `open` for streaming to work properly",
"Thank you so much for this! Naive question, is this a feature of `open` or have you all overloaded it to be able to read fr... | 2022-10-03T21:55:16Z | 2022-10-06T14:29:18Z | 2022-10-06T14:29:17Z | CONTRIBUTOR | null | null | null | ## Describe the bug
I have uploaded a [dataset](https://huggingface.co/datasets/zpn/pubchem_selfies) and followed the instructions from the [dataset_loader](https://huggingface.co/docs/datasets/dataset_script#download-data-files-and-organize-splits) tutorial. In that tutorial, it says
```
If the data files live in ... | {
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