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values | created_at timestamp[s]date 2020-04-14 18:18:51 2026-06-05 18:08:17 | updated_at timestamp[s]date 2020-04-29 09:23:05 2026-06-05 21:18:34 | closed_at stringlengths 0 20 | html_url stringlengths 48 51 | user stringlengths 3 26 | labels listlengths 0 4 | assignees listlengths 0 4 | milestone stringclasses 7
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|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1,707,551,511 | I_kwDODunzps5lxysX | 5,849 | CSV datasets should only read the CSV data files in the repo | closed | completed | 2023-05-12T12:29:53 | 2023-06-22T14:16:27 | 2023-06-22T14:16:27Z | https://github.com/huggingface/datasets/issues/5849 | albertvillanova | [
"bug"
] | [
"albertvillanova"
] | [] | MEMBER | When a no-script dataset has many CSV files and a JPG file, the library infers to use the Csv builder, but tries to read as CSV all files in the repo, also the JPG file.
I think the Csv builder should filter out non-CSV files when reading.
An analogue solution should be implemented for other packaged builders.
... | |
1,706,616,634 | I_kwDODunzps5luOc6 | 5,847 | Streaming IterableDataset not working with translation pipeline | open | 2023-05-11T21:52:38 | 2023-05-16T15:59:55 | https://github.com/huggingface/datasets/issues/5847 | jlquinn | [] | [] | [
"I wasn't sure to file this against transformers or datasets.",
"[`KeyDataset`](https://github.com/huggingface/transformers/blob/7f8b909189547944617741d8d3c6c84504701693/src/transformers/pipelines/pt_utils.py#L296) doesn't support iterable datasets, so you either need to implement a version that does (and also in... | NONE | ### Describe the bug
I'm trying to use a streaming dataset for translation inference to avoid downloading the training data.
I'm using a pipeline and a dataset, and following the guidance in the tutorial.
Instead I get an exception that IterableDataset has no len().
### Steps to reproduce the bug
CODE:
```
... | |||
1,707,907,048 | I_kwDODunzps5lzJfo | 5,851 | Error message not clear in interleaving datasets | closed | completed | 2023-05-11T20:52:13 | 2023-05-23T10:32:59 | 2023-05-23T10:32:59Z | https://github.com/huggingface/datasets/issues/5851 | surya-narayanan | [] | [
"lhoestq"
] | [] | NONE | ### System Info
standard env
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details below)
### Reproduction
I'm tr... | |
1,706,289,290 | I_kwDODunzps5ls-iK | 5,846 | load_dataset('bigcode/the-stack-dedup', streaming=True) very slow! | closed | completed | 2023-05-11T17:58:57 | 2024-04-08T12:53:17 | 2024-04-05T12:28:58Z | https://github.com/huggingface/datasets/issues/5846 | tbenthompson | [] | [
"mariosasko"
] | [
"This is due to the slow resolution of the data files: https://github.com/huggingface/datasets/issues/5537.\r\n\r\nWe plan to switch to `huggingface_hub`'s `HfFileSystem` soon to make the resolution faster (will be up to 20x faster once we merge https://github.com/huggingface/huggingface_hub/pull/1443)\r\n\r\n",
... | NONE | ### Describe the bug
Running
```
import datasets
ds = datasets.load_dataset('bigcode/the-stack-dedup', streaming=True)
```
takes about 2.5 minutes!
I would expect this to be near instantaneous. With other datasets, the runtime is one or two seconds.
### Environment info
- `datasets` version: 2.1... | |
1,705,907,812 | I_kwDODunzps5lrhZk | 5,844 | TypeError: Couldn't cast array of type struct<answer: struct<unanswerable: bool, answerType: string, free_form_answer: string, evidence: list<item: string>, evidenceAnnotate: list<item: string>, highlighted_evidence: list<item: string>>> to ... | open | 2023-05-11T14:15:01 | 2023-05-11T14:15:01 | https://github.com/huggingface/datasets/issues/5844 | chen-coding | [] | [] | [] | NONE | ### Describe the bug
TypeError: Couldn't cast array of type struct<answer: struct<unanswerable: bool, answerType: string, free_form_answer: string, evidence: list<item: string>, evidenceAnnotate: list<item: string>, highlighted_evidence: list<item: string>>> to {'answer': {'unanswerable': Value(dtype='bool', id=None),... | |||
1,705,286,639 | I_kwDODunzps5lpJvv | 5,841 | Abusurdly slow on iteration | closed | completed | 2023-05-11T08:04:09 | 2023-05-15T15:38:13 | 2023-05-15T15:38:13Z | https://github.com/huggingface/datasets/issues/5841 | fecet | [] | [] | [
"Hi ! You can try to use the [Image](https://huggingface.co/docs/datasets/v2.12.0/en/package_reference/main_classes#datasets.Image) type which [decodes images on-the-fly](https://huggingface.co/docs/datasets/v2.12.0/en/about_dataset_features#image-feature) into pytorch tensors :)\r\n\r\n```python\r\nds = Dataset.fr... | NONE | ### Describe the bug
I am attempting to iterate through an image dataset, but I am encountering a significant slowdown in the iteration speed. In order to investigate this issue, I conducted the following experiment:
```python
a=torch.randn(100,224)
a=torch.stack([a] * 10000)
a.shape
# %%
ds=Dataset.from_d... | |
1,705,212,085 | I_kwDODunzps5lo3i1 | 5,840 | load model error. | closed | completed | 2023-05-11T07:12:38 | 2023-05-12T13:44:07 | 2023-05-12T13:44:06Z | https://github.com/huggingface/datasets/issues/5840 | LanShanPi | [] | [] | [
"Please report this in the `transformers` repo, as it's not related to `datasets`"
] | NONE | ### Describe the bug
I had trained one model use deepspeed, when I load the final load I get the follow error:
OSError: Can't load tokenizer for '/XXX/DeepSpeedExamples/applications/DeepSpeed-Chat/output/step3-models/1.3b/actor'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't ... | |
1,705,510,602 | I_kwDODunzps5lqAbK | 5,842 | Remove columns in interable dataset | closed | completed | 2023-05-11T03:48:46 | 2023-06-21T16:36:42 | 2023-06-21T16:36:41Z | https://github.com/huggingface/datasets/issues/5842 | surya-narayanan | [] | [] | [
"Transferring this issue as it's related to the 🤗 Datasets library ",
"Hi @surya-narayanan! Could you provide some code snippet?",
"This method has been recently added to the `IterableDataset`, so you need to update the `datasets`' installation (`pip install -U datasets`) to use it."
] | NONE | ### Feature request
Right now, remove_columns() produces a NotImplementedError for iterable style datasets
### Motivation
It would be great to have the same functionality irrespective of whether one is using an iterable or a map-style dataset
### Your contribution
hope and courage. | |
1,705,514,551 | I_kwDODunzps5lqBY3 | 5,843 | Can't add iterable datasets to a Dataset Dict. | closed | completed | 2023-05-11T02:09:29 | 2023-05-25T04:51:59 | 2023-05-25T04:51:59Z | https://github.com/huggingface/datasets/issues/5843 | surya-narayanan | [] | [] | [
"Transferring as this is relating to the 🤗 Datasets library",
"You need to use `IterableDatasetDict` instead of `DatasetDict` for iterable datasets."
] | NONE | ### System Info
standard env
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction
Get th... | |
1,704,554,718 | I_kwDODunzps5lmXDe | 5,839 | Make models/functions optimized with `torch.compile` hashable | closed | completed | 2023-05-10T20:02:08 | 2023-11-28T16:29:33 | 2023-11-28T16:29:33Z | https://github.com/huggingface/datasets/issues/5839 | mariosasko | [
"enhancement"
] | [
"mariosasko"
] | [] | COLLABORATOR | As reported in https://github.com/huggingface/datasets/issues/5819, hashing functions/transforms that reference a model, or a function, optimized with `torch.compile` currently fails due to them not being picklable (the concrete error can be found in the linked issue).
The solutions to consider:
1. hashing/pickling... | |
1,703,210,848 | I_kwDODunzps5lhO9g | 5,838 | Streaming support for `load_from_disk` | closed | completed | 2023-05-10T06:25:22 | 2024-10-28T14:19:44 | 2023-05-12T09:37:45Z | https://github.com/huggingface/datasets/issues/5838 | Nilabhra | [
"enhancement"
] | [] | [
"As the name says, `load_from_disk` load the data from your disk. If the data is hosted on S3, it is first downloaded locally and then loaded from your disk.\r\n\r\nThere is a discussion on streaming data from S3 here though: #5281 ",
"@lhoestq \r\nThanks for your comment. I have checked out the discussion before... | NONE | ### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very large and being able to stream the data ... | |
1,703,019,816 | I_kwDODunzps5lggUo | 5,837 | Use DeepSpeed load myself " .csv " dataset. | open | 2023-05-10T02:39:28 | 2023-05-15T03:51:36 | https://github.com/huggingface/datasets/issues/5837 | LanShanPi | [] | [] | [
"Hi ! Doing `load_dataset(\"path/to/data.csv\")` is not supported yet, but you can do\r\n\r\n```python\r\nds = load_dataset(\"csv\", data_files=[\"path/to/data.csv\"])\r\n```",
"@lhoestq thank you.",
"The other question: \r\nTraceback (most recent call last):\r\n File \"<stdin>\", line 1, in <module>\r\n Fil... | NONE | ### Describe the bug
When I use DeepSpeed train a model with my own " XXX.csv" dataset I got the follow question:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/fm001/.conda/envs/hzl/lib/python3.8/site-packages/datasets/load.py", line 1767, in load_dataset
builder_instan... | |||
1,702,448,892 | I_kwDODunzps5leU78 | 5,834 | Is uint8 supported? | closed | completed | 2023-05-09T17:31:13 | 2023-05-13T05:04:21 | 2023-05-13T05:04:21Z | https://github.com/huggingface/datasets/issues/5834 | ryokan0123 | [] | [] | [
"Hi ! The numpy formatting detaults to int64 and float32 - but you can use uint8 using\r\n```python\r\nds = ds.with_format(\"numpy\", dtype=np.uint8)\r\n```",
"Related to https://github.com/huggingface/datasets/issues/5517.",
"Thank you!\r\nBy setting `ds.with_format(\"numpy\", dtype=np.uint8)`, the dataset ret... | NONE | ### Describe the bug
I expect the dataset to store the data in the `uint8` data type, but it's returning `int64` instead.
While I've found that `datasets` doesn't yet support float16 (https://github.com/huggingface/datasets/issues/4981), I'm wondering if this is the case for other data types as well.
Is there a way ... | |
1,702,280,682 | I_kwDODunzps5ldr3q | 5,833 | Unable to push dataset - `create_pr` problem | closed | completed | 2023-05-09T15:32:55 | 2023-10-24T18:22:29 | 2023-10-24T18:22:29Z | https://github.com/huggingface/datasets/issues/5833 | agombert | [] | [
"albertvillanova"
] | [
"Thanks for reporting, @agombert.\r\n\r\nIn this case, I think the root issue is authentication: before pushing to Hub, you should authenticate. See our docs: https://huggingface.co/docs/datasets/upload_dataset#upload-with-python\r\n> 2. To upload a dataset on the Hub in Python, you need to log in to your Hugging F... | NONE | ### Describe the bug
I can't upload to the hub the dataset I manually created locally (Image dataset). I have a problem when using the method `.push_to_hub` which asks for a `create_pr` attribute which is not compatible.
### Steps to reproduce the bug
here what I have:
```python
dataset.push_to_hub("agomberto/Fr... | |
1,702,135,336 | I_kwDODunzps5ldIYo | 5,832 | 404 Client Error: Not Found for url: https://huggingface.co/api/models/bert-large-cased | closed | completed | 2023-05-09T14:14:59 | 2023-05-09T14:25:59 | 2023-05-09T14:25:59Z | https://github.com/huggingface/datasets/issues/5832 | varungupta31 | [] | [] | [
"moved to https://github.com/huggingface/transformers/issues/23233"
] | NONE | ### Describe the bug
Running [Bert-Large-Cased](https://huggingface.co/bert-large-cased) model causes `HTTPError`, with the following traceback-
```
HTTPError Traceback (most recent call last)
<ipython-input-6-5c580443a1ad> in <module>
----> 1 tokenizer = BertTokenizer.from_pretra... | |
1,701,813,835 | I_kwDODunzps5lb55L | 5,831 | [Bug]504 Server Error when loading dataset which was already cached | open | reopened | 2023-05-09T10:31:07 | 2023-05-10T01:48:20 | https://github.com/huggingface/datasets/issues/5831 | SingL3 | [] | [] | [
"I am experiencing the same problem with the following environment:\r\n\r\n* `datasets` version: 2.11.0\r\n* Platform: `Linux 5.19.0-41-generic x86_64 GNU/Linux`\r\n* Python version: `3.8.5`\r\n* Huggingface_hub version: 0.13.3\r\n* PyArrow version: `11.0.0`\r\n* Pandas version: `1.5.3`\r\n\r\nTrying to get some di... | NONE | ### Describe the bug
I have already cached the dataset using:
```
dataset = load_dataset("databricks/databricks-dolly-15k",
cache_dir="/mnt/data/llm/datasets/databricks-dolly-15k")
```
After that, I tried to load it again using the same machine, I got this error:
```
Traceback (most rece... | ||
1,699,958,189 | I_kwDODunzps5lU02t | 5,829 | (mach-o file, but is an incompatible architecture (have 'arm64', need 'x86_64')) | closed | completed | 2023-05-08T10:07:14 | 2023-06-30T11:39:14 | 2023-05-09T00:46:42Z | https://github.com/huggingface/datasets/issues/5829 | elcolie | [] | [] | [
"Can you paste the error stack trace?",
"That is weird. I can't reproduce it again after reboot.\r\n```python\r\nIn [2]: import platform\r\n\r\nIn [3]: platform.platform()\r\nOut[3]: 'macOS-13.2-arm64-arm-64bit'\r\n\r\nIn [4]: from datasets import load_dataset\r\n ...:\r\n ...: jazzy = load_dataset(\"nomic-ai... | NONE | ### Describe the bug
M2 MBP can't run
```python
from datasets import load_dataset
jazzy = load_dataset("nomic-ai/gpt4all-j-prompt-generations", revision='v1.2-jazzy')
```
### Steps to reproduce the bug
1. Use M2 MBP
2. Python 3.10.10 from pyenv
3. Run
```
from datasets import load_dataset
jazzy = load_... | |
1,699,235,739 | I_kwDODunzps5lSEeb | 5,828 | Stream data concatenation issue | closed | completed | 2023-05-07T21:02:54 | 2023-06-29T20:07:56 | 2023-05-10T05:05:47Z | https://github.com/huggingface/datasets/issues/5828 | krishnapriya-18 | [] | [] | [
"Hi! \r\n\r\nYou can call `map` as follows to avoid the error:\r\n```python\r\naugmented_dataset_cln = dataset_cln['train'].map(augment_dataset, features=dataset_cln['train'].features)\r\n```",
"Thanks it is solved",
"Hi! \r\nI have run into the same problem with you. Could you please let me know how you solve ... | NONE | ### Describe the bug
I am not able to concatenate the augmentation of the stream data. I am using the latest version of dataset.
ValueError: The features can't be aligned because the key audio of features {'audio_id': Value(dtype='string',
id=None), 'audio': {'array': Sequence(feature=Value(dtype='float32', id=... | |
1,698,891,246 | I_kwDODunzps5lQwXu | 5,827 | load json dataset interrupt when dtype cast problem occured | closed | completed | 2023-05-07T04:52:09 | 2026-03-09T15:58:00 | 2026-03-09T15:58:00Z | https://github.com/huggingface/datasets/issues/5827 | 1014661165 | [] | [] | [
"Indeed the JSON dataset builder raises an error when it encounters an unexpected type.\r\n\r\nThere's an old PR open to add away to ignore such elements though, if it can help: https://github.com/huggingface/datasets/pull/2838",
"Hi ! with #8027 you will be able to do \n```python\nfrom datasets import load_datas... | NONE | ### Describe the bug
i have a json like this:
[
{"id": 1, "name": 1},
{"id": 2, "name": "Nan"},
{"id": 3, "name": 3},
....
]
，which have several problematic rows data like row 2, then i load it with datasets.load_dataset('json', data_files=['xx.json'], split='train'), it will report like this:
... | |
1,697,327,483 | I_kwDODunzps5lKyl7 | 5,825 | FileNotFound even though exists | closed | completed | 2023-05-05T09:49:55 | 2023-08-16T10:02:01 | 2023-08-16T10:02:01Z | https://github.com/huggingface/datasets/issues/5825 | Muennighoff | [] | [] | [
"Hi! \r\n\r\nThis would only work if `bigscience/xP3` was a no-code dataset, but it isn't (it has a Python builder script).\r\n\r\nBut this should work: \r\n```python\r\nload_dataset(\"json\", data_files=\"https://huggingface.co/datasets/bigscience/xP3/resolve/main/ur/xp3_facebook_flores_spa_Latn-urd_Arab_devtest_a... | CONTRIBUTOR | ### Describe the bug
I'm trying to download https://huggingface.co/datasets/bigscience/xP3/resolve/main/ur/xp3_facebook_flores_spa_Latn-urd_Arab_devtest_ab-spa_Latn-urd_Arab.jsonl which works fine in my webbrowser, but somehow not with datasets. Am I doing sth wrong?
```
Downloading builder script: 100%
2.82k/2.8... | |
1,697,024,789 | I_kwDODunzps5lJosV | 5,823 | [2.12.0] DatasetDict.save_to_disk not saving to S3 | closed | completed | 2023-05-05T05:22:59 | 2024-05-30T16:11:31 | 2023-05-05T15:01:17Z | https://github.com/huggingface/datasets/issues/5823 | thejamesmarq | [] | [] | [
"Hi ! Can you try adding the `s3://` prefix ?\r\n```python\r\nf\"s3://{s3_bucket}/{s3_dir}/{dataset_name}\"\r\n```",
"Ugh, yeah that was it. Thank you!",
"Hi @thejamesmarq, by any chance, did you use multiprocessing `num_proc > 1` when saving your dataset on the s3 bucket ? I'm struggling making it work in a mu... | NONE | ### Describe the bug
When trying to save a `DatasetDict` to a private S3 bucket using `save_to_disk`, the artifacts are instead saved locally, and not in the S3 bucket.
I have tried using the deprecated `fs` as well as the `storage_options` arguments and I get the same results.
### Steps to reproduce the bug
1. C... | |
1,696,627,308 | I_kwDODunzps5lIHps | 5,822 | Audio Dataset with_format torch problem | closed | completed | 2023-05-04T20:07:51 | 2023-05-11T20:45:53 | 2023-05-11T20:45:53Z | https://github.com/huggingface/datasets/issues/5822 | paulbauriegel | [] | [] | [
"Hi ! Can you try with a more recent version of `datasets` ?",
"Ok, yes it worked with the most recent version. Thanks"
] | NONE | ### Describe the bug
Common Voice v10 Delta (German) Dataset from here https://commonvoice.mozilla.org/de/datasets
```
audio_dataset = \
(Dataset
.from_dict({"audio": ('/tmp/cv-corpus-10.0-delta-2022-07-04/de/clips/' + df.path).to_list()})
.cast_column("audio", Audio(sampling_rate=16_000))
.with... | |
1,695,892,811 | I_kwDODunzps5lFUVL | 5,820 | Incomplete docstring for `BuilderConfig` | closed | completed | 2023-05-04T12:14:34 | 2023-05-05T12:31:56 | 2023-05-05T12:31:56Z | https://github.com/huggingface/datasets/issues/5820 | Laurent2916 | [
"good first issue"
] | [] | [
"Thanks for reporting! You are more than welcome to improve `BuilderConfig`'s docstring.\r\n\r\nThis class serves an identical purpose as `tensorflow_datasets`'s `BuilderConfig`, and its docstring is [here](https://github.com/tensorflow/datasets/blob/a95e38b5bb018312c3d3720619c2a8ef83ebf57f/tensorflow_datasets/core... | CONTRIBUTOR | Hi guys !
I stumbled upon this docstring while working on a project.
Some of the attributes have missing descriptions.
https://github.com/huggingface/datasets/blob/bc5fef5b6d91f009e4101684adcb374df2c170f6/src/datasets/builder.py#L104-L117 | |
1,695,536,738 | I_kwDODunzps5lD9Zi | 5,819 | Cannot pickle error in Dataset.from_generator() | closed | completed | 2023-05-04T08:39:09 | 2023-05-05T19:20:59 | 2023-05-05T19:20:58Z | https://github.com/huggingface/datasets/issues/5819 | xinghaow99 | [] | [] | [
"Hi! It should work if you put `model = torch.compile(model)` inside the `generate_data` function. If a referenced object is outside, it needs to be pickable, and that's not the case for the compiled models (or functions). ",
"> Hi! It should work if you put `model = torch.compile(model)` inside the `generate_da... | NONE | ### Describe the bug
I'm trying to use Dataset.from_generator() to generate a large dataset.
### Steps to reproduce the bug
Code to reproduce:
```
from transformers import T5Tokenizer, T5ForConditionalGeneration, GenerationConfig
import torch
from tqdm import tqdm
from datasets import load_dataset
tokenizer... | |
1,695,052,555 | I_kwDODunzps5lCHML | 5,818 | Ability to update a dataset | open | 2023-05-04T01:08:13 | 2023-05-04T20:43:39 | https://github.com/huggingface/datasets/issues/5818 | davidgilbertson | [
"enhancement"
] | [] | [
"This [reply](https://discuss.huggingface.co/t/how-do-i-add-things-rows-to-an-already-saved-dataset/27423) from @mariosasko on the forums may be useful :)",
"In this case, I think we can avoid the `PermissionError` by unpacking the underlying `ConcatenationTable` and saving only the newly added data blocks (in ne... | NONE | ### Feature request
The ability to load a dataset, add or change something, and save it back to disk.
Maybe it's possible, but I can't work out how to do it, e.g. this fails:
```py
import datasets
dataset = datasets.load_from_disk("data/test1")
dataset = dataset.add_item({"text": "A new item"})
dataset.sav... | |||
1,694,891,866 | I_kwDODunzps5lBf9a | 5,817 | Setting `num_proc` errors when `.map` returns additional items. | closed | completed | 2023-05-03T21:46:53 | 2023-05-04T21:14:21 | 2023-05-04T20:22:25Z | https://github.com/huggingface/datasets/issues/5817 | davidgilbertson | [] | [] | [
"Hi ! Unfortunately I couldn't reproduce on my side locally and with datasets 2.11 and python 3.10.11 on colab.\r\nWhat version of `multiprocess` are you using ?",
"I've got `multiprocess` version `0.70.14`.\r\n\r\nI've done some more testing and the error only occurs in PyCharm's Python Console. It seems to be [... | NONE | ### Describe the bug
I'm using a map function that returns more rows than are passed in.
If I try to use `num_proc` I get:
```
File "/home/davidg/.virtualenvs/learning/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 563, in wrapper
out: Union["Dataset", "DatasetDict"] = func(self, *args, **kw... | |
1,693,701,743 | I_kwDODunzps5k89Zv | 5,815 | Easy way to create a Kaggle dataset from a Huggingface dataset? | open | 2023-05-02T21:43:33 | 2023-07-26T16:13:31 | https://github.com/huggingface/datasets/issues/5815 | hrbigelow | [] | [] | [
"Hi @hrbigelow , I'm no expert for such a question so I'll ping @lhoestq from the `datasets` library (also this issue could be moved there if someone with permission can do it :) )",
"Hi ! Many datasets are made of several files, and how they are parsed often requires a python script. Because of that, datasets li... | NONE | I'm not sure whether this is more appropriately addressed with HuggingFace or Kaggle. I would like to somehow directly create a Kaggle dataset from a HuggingFace Dataset.
While Kaggle does provide the option to create a dataset from a URI, that URI must point to a single file. For example:
![image](https://user... | |||
1,691,798,169 | I_kwDODunzps5k1sqZ | 5,812 | Cannot shuffle interleaved IterableDataset with "all_exhausted" stopping strategy | closed | completed | 2023-05-02T05:26:17 | 2023-05-04T14:24:51 | 2023-05-04T14:24:51Z | https://github.com/huggingface/datasets/issues/5812 | offchan42 | [
"bug",
"streaming"
] | [
"mariosasko"
] | [] | NONE | ### Describe the bug
Shuffling interleaved `IterableDataset` with "all_exhausted" strategy yields non-exhaustive sampling.
### Steps to reproduce the bug
```py
from datasets import IterableDataset, interleave_datasets
def gen(bias, length):
for i in range(length):
yield dict(a=bias+i)
seed = 42
... | |
1,689,919,046 | I_kwDODunzps5kuh5G | 5,811 | load_dataset: TypeError: 'NoneType' object is not callable, on local dataset filename changes | open | 2023-04-30T13:27:17 | 2025-02-27T07:32:30 | https://github.com/huggingface/datasets/issues/5811 | durapensa | [] | [] | [
"This error means a `DatasetBuilder` subclass that generates the dataset could not be found inside the script, so make sure `dushowxa-characters/dushowxa-characters.py `is a valid dataset script (assuming `path_or_dataset` is `dushowxa-characters`)\r\n\r\nAlso, we should improve the error to make it more obvious wh... | NONE | ### Describe the bug
I've adapted Databrick's [train_dolly.py](/databrickslabs/dolly/blob/master/train_dolly.py) to train using a local dataset, which has been working. Upon changing the filenames of the `.json` & `.py` files in my local dataset directory, `dataset = load_dataset(path_or_dataset)["train"]` throws th... | |||
1,689,797,293 | I_kwDODunzps5kuEKt | 5,809 | wiki_dpr details for Open Domain Question Answering tasks | closed | completed | 2023-04-30T06:12:04 | 2023-07-21T14:11:00 | 2023-07-21T14:11:00Z | https://github.com/huggingface/datasets/issues/5809 | yulgok22 | [] | [] | [
"Hi ! I don't remember exactly how it was done, but maybe you have to embed `f\"{title}<sep>{text}\"` ?\r\n\r\nUsing a HF tokenizer it corresponds to doing\r\n```python\r\ntokenized = tokenizer(titles, texts)\r\n```"
] | NONE | Hey guys!
Thanks for creating the wiki_dpr dataset!
I am currently trying to combine wiki_dpr and my own datasets. but I don't know how to make the embedding value the same way as wiki_dpr.
As an experiment, I embeds the text of id="7" of wiki_dpr, but this result was very different from wiki_dpr. | |
1,688,598,095 | I_kwDODunzps5kpfZP | 5,806 | Return the name of the currently loaded file in the load_dataset function. | open | 2023-04-28T13:50:15 | 2026-05-22T07:20:57 | https://github.com/huggingface/datasets/issues/5806 | s-JoL | [
"enhancement",
"good first issue"
] | [
"sabbirtkdr"
] | [
"Implementing this makes sense (e.g., `tensorflow_datasets`' imagefolder returns image filenames). Also, in Datasets 3.0, we plan only to store the bytes of an image/audio, not its path, so this feature would be useful when the path info is still needed.",
"Hey @mariosasko, Can I work on this issue, this one seem... | NONE | ### Feature request
Add an optional parameter return_file_name in the load_dataset function. When it is set to True, the function will include the name of the file corresponding to the current line as a feature in the returned output.
### Motivation
When training large language models, machine problems may interrupt... | |||
1,688,558,577 | I_kwDODunzps5kpVvx | 5,805 | Improve `Create a dataset` tutorial | open | 2023-04-28T13:26:22 | 2026-06-04T00:08:08 | https://github.com/huggingface/datasets/issues/5805 | polinaeterna | [
"documentation"
] | [] | [
"I can work on this. The link to the tutorial seems to be broken though @polinaeterna. ",
"@isunitha98selvan would be great, thank you! which link are you talking about? I think it should work: https://huggingface.co/docs/datasets/create_dataset",
"Hey I don't mind working on this issue. From my understanding, ... | CONTRIBUTOR | Our [tutorial on how to create a dataset](https://huggingface.co/docs/datasets/create_dataset) is a bit misleading.
1. In **Folder-based builders** section it says that we have two folder-based builders as standard builders, but we also have similar builders (that can be created from directory with data of required f... | |||
1,686,334,572 | I_kwDODunzps5kg2xs | 5,799 | Files downloaded to cache do not respect umask | closed | completed | 2023-04-27T08:06:05 | 2023-04-27T09:30:17 | 2023-04-27T09:30:17Z | https://github.com/huggingface/datasets/issues/5799 | albertvillanova | [
"bug"
] | [
"albertvillanova"
] | [] | MEMBER | As reported by @stas00, files downloaded to the cache do not respect umask:
```bash
$ ls -l /path/to/cache/datasets/downloads/
-rw------- 1 uername username 150M Apr 25 16:41 5e646c1d600f065adaeb134e536f6f2f296a6d804bd1f0e1fdcd20ee28c185c6
```
Related to:
- #2065 | |
1,685,904,526 | I_kwDODunzps5kfNyO | 5,798 | Support parallelized downloading and processing in load_dataset with Spark | open | 2023-04-27T00:16:11 | 2023-05-25T14:11:41 | https://github.com/huggingface/datasets/issues/5798 | es94129 | [
"enhancement"
] | [] | [
"Hi ! We're using process pools for parallelism right now. I was wondering if there's a package that implements the same API as a process pool but runs with Spark under the hood ? That or something similar would be cool because users could use whatever distributed framework they want this way.\r\n\r\nFeel free to p... | CONTRIBUTOR | ### Feature request
When calling `load_dataset` for datasets that have multiple files, support using Spark to distribute the downloading and processing job to worker nodes when `cache_dir` is a cloud file system shared among nodes.
```python
load_dataset(..., use_spark=True)
```
### Motivation
Further speed up ... | |||
1,685,501,199 | I_kwDODunzps5kdrUP | 5,797 | load_dataset is case sentitive? | open | 2023-04-26T18:19:04 | 2023-04-27T11:56:58 | https://github.com/huggingface/datasets/issues/5797 | haonan-li | [] | [] | [
"Hi @haonan-li , thank you for the report! It seems to be a bug on the [`huggingface_hub`](https://github.com/huggingface/huggingface_hub) site, there is even no such dataset as `mbzuai/bactrian-x` on the Hub. I opened and [issue](https://github.com/huggingface/huggingface_hub/issues/1453) there.",
"I think `loa... | NONE | ### Describe the bug
load_dataset() function is case sensitive?
### Steps to reproduce the bug
The following two code, get totally different behavior.
1. load_dataset('mbzuai/bactrian-x','en')
2. load_dataset('MBZUAI/Bactrian-X','en')
### Expected behavior
Compare 1 and 2.
1 will download all 52 subsets, sh... | |||
1,685,196,061 | I_kwDODunzps5kcg0d | 5,794 | CI ZeroDivisionError | closed | completed | 2023-04-26T14:55:23 | 2024-05-17T09:12:11 | 2024-05-17T09:12:11Z | https://github.com/huggingface/datasets/issues/5794 | albertvillanova | [
"bug"
] | [] | [
"Hello!\r\nThis issue seems to have been fixed in https://github.com/huggingface/transformers/pull/24049 \r\nI was looking for my first issue to work on when I noticed this; not sure if there is a specific protocol for suggesting to close an issue.",
"Thanks for informing, @zeppdev. I am closing this issue.\r\n\r... | MEMBER | Sometimes when running our CI on Windows, we get a ZeroDivisionError:
```
FAILED tests/test_metric_common.py::LocalMetricTest::test_load_metric_frugalscore - ZeroDivisionError: float division by zero
```
See for example:
- https://github.com/huggingface/datasets/actions/runs/4809358266/jobs/8560513110
- https:/... | |
1,684,777,320 | I_kwDODunzps5ka6lo | 5,793 | IterableDataset.with_format("torch") not working | closed | completed | 2023-04-26T10:50:23 | 2023-06-13T15:57:06 | 2023-06-13T15:57:06Z | https://github.com/huggingface/datasets/issues/5793 | jiangwangyi | [
"bug",
"enhancement",
"streaming"
] | [
"lhoestq"
] | [
"Hi ! Thanks for reporting, I'm working on it ;)"
] | NONE | ### Describe the bug
After calling the with_format("torch") method on an IterableDataset instance, the data format is unchanged.
### Steps to reproduce the bug
```python
from datasets import IterableDataset
def gen():
for i in range(4):
yield {"a": [i] * 4}
dataset = IterableDataset.from_generator(g... | |
1,683,473,943 | I_kwDODunzps5kV8YX | 5,791 | TIFF/TIF support | closed | completed | 2023-04-25T16:14:18 | 2024-01-15T16:40:33 | 2024-01-15T16:40:16Z | https://github.com/huggingface/datasets/issues/5791 | sebasmos | [
"enhancement"
] | [] | [
"The issue with multichannel TIFF images has already been reported in Pillow (https://github.com/python-pillow/Pillow/issues/1888). We can't do much about it on our side.\r\n\r\nStill, to avoid the error, you can bypass the default Pillow decoding and define a custom one as follows:\r\n```python\r\nimport tifffile ... | NONE | ### Feature request
I currently have a dataset (with tiff and json files) where I have to do this:
`wget path_to_data/images.zip && unzip images.zip`
`wget path_to_data/annotations.zip && unzip annotations.zip`
Would it make sense a contribution that supports these type of files?
### Motivation
instead o... | |
1,682,611,179 | I_kwDODunzps5kSpvr | 5,789 | Support streaming datasets that use jsonlines | open | 2023-04-25T07:40:02 | 2023-04-25T07:40:03 | https://github.com/huggingface/datasets/issues/5789 | albertvillanova | [
"enhancement"
] | [
"albertvillanova"
] | [] | MEMBER | Extend support for streaming datasets that use `jsonlines.open`.
Currently, if `jsonlines` is installed, `datasets` raises a `FileNotFoundError`:
```
FileNotFoundError: [Errno 2] No such file or directory: 'https://...'
```
See:
- https://huggingface.co/datasets/masakhane/afriqa/discussions/1 | |||
1,680,957,070 | I_kwDODunzps5kMV6O | 5,786 | Multiprocessing in a `filter` or `map` function with a Pytorch model | closed | completed | 2023-04-24T10:38:07 | 2023-05-30T09:56:30 | 2023-04-24T10:43:58Z | https://github.com/huggingface/datasets/issues/5786 | HugoLaurencon | [] | [] | [
"Hi ! PyTorch may hang when calling `load_state_dict()` in a subprocess. To fix that, set the multiprocessing start method to \"spawn\". Since `datasets` uses `multiprocess`, you should do:\r\n\r\n```python\r\n# Required to avoid issues with pytorch (otherwise hangs during load_state_dict in multiprocessing)\r\nimp... | NONE | ### Describe the bug
I am trying to use a Pytorch model loaded on CPUs with multiple processes with a `.map` or a `.filter` method.
Usually, when dealing with models that are non-pickable, creating a class such that the `map` function is the method `__call__`, and adding `reduce` helps to solve the problem.
Howe... | |
1,680,956,964 | I_kwDODunzps5kMV4k | 5,785 | Unsupported data files raise TypeError: 'NoneType' object is not iterable | closed | completed | 2023-04-24T10:38:03 | 2023-04-27T12:57:30 | 2023-04-27T12:57:30Z | https://github.com/huggingface/datasets/issues/5785 | albertvillanova | [
"bug"
] | [
"albertvillanova"
] | [] | MEMBER | Currently, we raise a TypeError for unsupported data files:
```
TypeError: 'NoneType' object is not iterable
```
See:
- https://github.com/huggingface/datasets-server/issues/1073
We should give a more informative error message. | |
1,679,664,393 | I_kwDODunzps5kHaUJ | 5,783 | Offset overflow while doing regex on a text column | open | 2023-04-22T19:12:03 | 2023-09-22T06:44:07 | https://github.com/huggingface/datasets/issues/5783 | nishanthcgit | [] | [] | [
"Hi! This looks like an Arrow bug, but it can be avoided by reducing the `writer_batch_size`.\r\n\r\n(`ds = ds.map(get_text_caption, writer_batch_size=100)` in Colab runs without issues)\r\n",
"@mariosasko I ran into this problem with load_dataset. What should I do",
"@AisingioroHao0 You can also pass the `wri... | NONE | ### Describe the bug
`ArrowInvalid: offset overflow while concatenating arrays`
Same error as [here](https://github.com/huggingface/datasets/issues/615)
### Steps to reproduce the bug
Steps to reproduce: (dataset is a few GB big so try in colab maybe)
```
import datasets
import re
ds = datasets.lo... | |||
1,679,622,367 | I_kwDODunzps5kHQDf | 5,782 | Support for various audio-loading backends instead of always relying on SoundFile | closed | completed | 2023-04-22T17:09:25 | 2023-05-10T20:23:04 | 2023-05-10T20:23:04Z | https://github.com/huggingface/datasets/issues/5782 | BoringDonut | [
"enhancement"
] | [] | [
"Hi! \r\n\r\nYou can use `set_transform`/`with_transform` to define a custom decoding for audio formats not supported by `soundfile`:\r\n```python\r\naudio_dataset_amr = Dataset.from_dict({\"audio\": [\"audio_samples/audio.amr\"]})\r\n\r\ndef decode_audio(batch):\r\n batch[\"audio\"] = [read_ffmpeg(audio_path) f... | NONE | ### Feature request
Introduce an option to select from a variety of audio-loading backends rather than solely relying on the SoundFile library. For instance, if the ffmpeg library is installed, it can serve as a fallback loading option.
### Motivation
- The SoundFile library, used in [features/audio.py](https://gith... | |
1,679,580,460 | I_kwDODunzps5kHF0s | 5,781 | Error using `load_datasets` | closed | completed | 2023-04-22T15:10:44 | 2023-05-02T23:41:25 | 2023-05-02T23:41:25Z | https://github.com/huggingface/datasets/issues/5781 | gjyoungjr | [] | [] | [
"It looks like an issue with your installation of scipy, can you try reinstalling it ?",
"Sorry for the late reply, but that worked @lhoestq . Thanks for the assist."
] | NONE | ### Describe the bug
I tried to load a dataset using the `datasets` library in a conda jupyter notebook and got the below error.
```
ImportError: dlopen(/Users/gilbertyoung/miniforge3/envs/review_sense/lib/python3.8/site-packages/scipy/sparse/linalg/_isolve/_iterative.cpython-38-darwin.so, 0x0002): Library not ... | |
1,679,367,149 | I_kwDODunzps5kGRvt | 5,780 | TypeError: 'NoneType' object does not support item assignment | closed | completed | 2023-04-22T06:22:43 | 2023-04-23T08:49:18 | 2023-04-23T08:49:18Z | https://github.com/huggingface/datasets/issues/5780 | zyb8543d | [] | [] | [] | NONE | command：
```
def load_datasets(formats, data_dir=datadir, data_files=datafile）：
dataset = load_dataset(formats, data_dir=datadir, data_files=datafile, split=split, streaming=True, **kwargs)
return dataset
raw_datasets = DatasetDict()
raw_datasets["train"] = load_datasets(“csv”, args.datadir, "train.csv", s... | |
1,678,125,951 | I_kwDODunzps5kBit_ | 5,778 | Schrödinger's dataset_dict | closed | completed | 2023-04-21T08:38:12 | 2023-07-24T15:15:14 | 2023-07-24T15:15:14Z | https://github.com/huggingface/datasets/issues/5778 | liujuncn | [] | [] | [
"Hi ! Passing `data_files=\"path/test.json\"` is equivalent to `data_files={\"train\": [\"path/test.json\"]}`, that's why you end up with a train split. If you don't pass `data_files=`, then split names are inferred from the data files names"
] | NONE | ### Describe the bug
If you use load_dataset('json', data_files="path/test.json"), it will return DatasetDict({train:...}).
And if you use load_dataset("path"), it will return DatasetDict({test:...}).
Why can't the output behavior be unified?
### Steps to reproduce the bug
as description above.
### Expected b... | |
1,677,655,969 | I_kwDODunzps5j_v-h | 5,777 | datasets.load_dataset("code_search_net", "python") : NotADirectoryError: [Errno 20] Not a directory | closed | completed | 2023-04-21T02:08:07 | 2023-06-05T05:49:52 | 2023-05-11T11:51:56Z | https://github.com/huggingface/datasets/issues/5777 | ghost | [] | [
"albertvillanova"
] | [
"Note:\r\nI listed the datasets and grepped around to find what appears to be an alternative source for this:\r\n\r\nraw_datasets = load_dataset(\"espejelomar/code_search_net_python_10000_examples\", \"python\")",
"Thanks for reporting, @jason-brian-anderson.\r\n\r\nYes, this is a known issue: the [CodeSearchNet]... | NONE | ### Describe the bug
While checking out the [tokenizer tutorial](https://huggingface.co/course/chapter6/2?fw=pt), i noticed getting an error while initially downloading the python dataset used in the examples.
The [collab with the error is here](https://colab.research.google.com/github/huggingface/notebooks/blob/ma... | |
1,677,116,100 | I_kwDODunzps5j9sLE | 5,776 | Use Pandas' `read_json` in the JSON builder | open | 2023-04-20T17:15:49 | 2023-04-20T17:15:49 | https://github.com/huggingface/datasets/issues/5776 | mariosasko | [
"enhancement"
] | [
"mariosasko"
] | [] | COLLABORATOR | Instead of PyArrow's `read_json`, we should use `pd.read_json` in the JSON builder for consistency with the CSV and SQL builders (e.g., to address https://github.com/huggingface/datasets/issues/5725).
In Pandas2.0, to get the same performance, we can set the `engine` to "pyarrow". The issue is that Colab still doesn... | |||
1,677,089,901 | I_kwDODunzps5j9lxt | 5,775 | ArrowDataset.save_to_disk lost some logic of remote | closed | completed | 2023-04-20T16:58:01 | 2023-04-26T12:11:36 | 2023-04-26T12:11:17Z | https://github.com/huggingface/datasets/issues/5775 | Zoupers | [] | [
"lhoestq"
] | [
"We just fixed this on `main` and will do a new release soon :)"
] | NONE | ### Describe the bug
https://github.com/huggingface/datasets/blob/e7ce0ac60c7efc10886471932854903a7c19f172/src/datasets/arrow_dataset.py#L1371
Here is the bug point, when I want to save from a `DatasetDict` class and the items of the instance is like `[('train', Dataset({features: ..., num_rows: ...}))]` , there ... | |
1,675,984,633 | I_kwDODunzps5j5X75 | 5,773 | train_dataset does not implement __len__ | open | 2023-04-20T04:37:05 | 2023-07-19T20:33:13 | https://github.com/huggingface/datasets/issues/5773 | zyb8543d | [] | [] | [
"Thanks for reporting, @v-yunbin.\r\n\r\nCould you please give more details, the steps to reproduce the bug, the complete error back trace and the environment information (`datasets-cli env`)?",
"this is a detail error info from transformers：\r\n```\r\nTraceback (most recent call last):\r\n File \"finetune.py\",... | NONE | when train using data precessored by the datasets, I get follow warning and it leads to that I can not set epoch numbers:
`ValueError: The train_dataset does not implement __len__, max_steps has to be specified. The number of steps needs to be known in advance for the learning rate scheduler.` | |||
1,674,828,380 | I_kwDODunzps5j09pc | 5,771 | Support cloud storage for loading datasets | closed | completed | 2023-04-19T12:43:53 | 2023-05-07T17:47:41 | 2023-05-07T17:47:41Z | https://github.com/huggingface/datasets/issues/5771 | eli-osherovich | [
"duplicate",
"enhancement"
] | [] | [
"A duplicate of https://github.com/huggingface/datasets/issues/5281"
] | CONTRIBUTOR | ### Feature request
It seems that the the current implementation supports cloud storage only for `load_from_disk`. It would be nice if a similar functionality existed in `load_dataset`.
### Motivation
Motivation is pretty clear -- let users work with datasets located in the cloud.
### Your contribution
... | |
1,673,441,182 | I_kwDODunzps5jvq-e | 5,769 | Tiktoken tokenizers are not pickable | closed | completed | 2023-04-18T16:07:40 | 2023-05-04T18:55:57 | 2023-05-04T18:55:57Z | https://github.com/huggingface/datasets/issues/5769 | markovalexander | [] | [] | [
"Thanks for reporting, @markovalexander.\r\n\r\nUnfortunately, I'm not able to reproduce the issue: the `tiktoken` tokenizer can be used within `Dataset.map`, both in my local machine and in a Colab notebook: https://colab.research.google.com/drive/1DhJroZgk0sNFJ2Mrz-jYgrmh9jblXaCG?usp=sharing\r\n\r\nAre you sure y... | NONE | ### Describe the bug
Since tiktoken tokenizer is not pickable, it is not possible to use it inside `dataset.map()` with multiprocessing enabled. However, you [made](https://github.com/huggingface/datasets/issues/5536) tiktoken's tokenizers pickable in `datasets==2.10.0` for caching. For some reason, this logic does no... | |
1,672,494,561 | I_kwDODunzps5jsD3h | 5,768 | load_dataset("squad") doesn't work in 2.7.1 and 2.10.1 | closed | completed | 2023-04-18T07:10:56 | 2023-04-20T10:27:23 | 2023-04-20T10:27:22Z | https://github.com/huggingface/datasets/issues/5768 | yaseen157 | [] | [
"albertvillanova"
] | [
"Thanks for reporting, @yaseen157.\r\n\r\nCould you please give the complete error stack trace?",
"I am not able to reproduce your issue: the dataset loads perfectly on my local machine and on a Colab notebook: https://colab.research.google.com/drive/1Fbdoa1JdNz8DOdX6gmIsOK1nCT8Abj4O?usp=sharing\r\n```python\r\nI... | NONE | ### Describe the bug
There is an issue that seems to be unique to the "squad" dataset, in which it cannot be loaded using standard methods. This issue is most quickly reproduced from the command line, using the HF examples to verify a dataset is loaded properly.
This is not a problem with "squad_v2" dataset for e... | |
1,672,433,979 | I_kwDODunzps5jr1E7 | 5,767 | How to use Distill-BERT with different datasets? | closed | completed | 2023-04-18T06:25:12 | 2023-04-20T16:52:05 | 2023-04-20T16:52:05Z | https://github.com/huggingface/datasets/issues/5767 | sauravtii | [] | [] | [
"Closing this one in favor of the same issue opened in the `transformers` repo."
] | NONE | ### Describe the bug
- `transformers` version: 4.11.3
- Platform: Linux-5.4.0-58-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyTorch version (GPU?): 1.12.0+cu102 (True)
- Tensorflow version (GPU?): 2.10.0 (True)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxL... | |
1,671,485,882 | I_kwDODunzps5joNm6 | 5,766 | Support custom feature types | open | 2023-04-17T15:46:41 | 2024-03-10T11:11:22 | https://github.com/huggingface/datasets/issues/5766 | jmontalt | [
"enhancement"
] | [] | [
"Hi ! Interesting :) What kind of new types would you like to use ?\r\n\r\nNote that you can already implement your own decoding by using `set_transform` that can decode data on-the-fly when rows are accessed",
"An interesting proposal indeed. \r\n\r\nPandas and Polars have the \"extension API\", so doing somethi... | NONE | ### Feature request
I think it would be nice to allow registering custom feature types with the 🤗 Datasets library. For example, allow to do something along the following lines:
```
from datasets.features import register_feature_type # this would be a new function
@register_feature_type
class CustomFeature... | |||
1,671,388,824 | I_kwDODunzps5jn16Y | 5,765 | ValueError: You should supply an encoding or a list of encodings to this method that includes input_ids, but you provided ['text'] | open | 2023-04-17T15:00:50 | 2023-04-25T13:50:45 | https://github.com/huggingface/datasets/issues/5765 | sauravtii | [] | [] | [
"You need to remove the `text` and `text_en` columns before passing the dataset to the `DataLoader` to avoid this error:\r\n```python\r\ntokenized_datasets = tokenized_datasets.remove_columns([\"text\", \"text_en\"])\r\n```\r\n",
"Thanks @mariosasko. Now I am getting this error:\r\n\r\n```\r\nTraceback (most rece... | NONE | ### Describe the bug
Following is my code that I am trying to run, but facing an error (have attached the whole error below):
My code:
```
from collections import OrderedDict
import warnings
import flwr as fl
import torch
import numpy as np
import random
from torch.utils.data import DataLoader
from... | |||
1,670,740,198 | I_kwDODunzps5jlXjm | 5,764 | ConnectionError: Couldn't reach https://www.dropbox.com/s/zts98j4vkqtsns6/aclImdb_v2.tar?dl=1 | closed | completed | 2023-04-17T09:08:18 | 2023-04-18T07:18:20 | 2023-04-18T07:18:20Z | https://github.com/huggingface/datasets/issues/5764 | sauravtii | [] | [
"albertvillanova"
] | [
"Thanks for reporting, @sauravtii.\r\n\r\nUnfortunately, I'm not able to reproduce the issue:\r\n```python\r\nIn [1]: from datasets import load_dataset\r\n\r\nIn [2]: ds = load_dataset(\"josianem/imdb\")\r\n\r\nIn [2]: ds\r\nOut[2]: \r\nDatasetDict({\r\n train: Dataset({\r\n features: ['text', 'label'],\r... | NONE | ### Describe the bug
I want to use this (https://huggingface.co/datasets/josianem/imdb) dataset therefore I am trying to load it using the following code:
```
dataset = load_dataset("josianem/imdb")
```
The dataset is not getting loaded and gives the error message as the following:
```
Traceback (most rece... | |
1,670,326,470 | I_kwDODunzps5jjyjG | 5,762 | Not able to load the pile | closed | completed | 2023-04-17T03:09:10 | 2023-04-17T09:37:27 | 2023-04-17T09:37:27Z | https://github.com/huggingface/datasets/issues/5762 | surya-narayanan | [] | [
"albertvillanova"
] | [
"Thanks for reporting, @surya-narayanan.\r\n\r\nI see you already started a discussion about this on the Community tab of the corresponding dataset: https://huggingface.co/datasets/EleutherAI/the_pile/discussions/10\r\nLet's continue the discussion there!"
] | NONE | ### Describe the bug
Got this error when I am trying to load the pile dataset
```
TypeError: Couldn't cast array of type
struct<file: string, id: string>
to
{'id': Value(dtype='string', id=None)}
```
### Steps to reproduce the bug
Please visit the following sample notebook
https://colab.research.goo... | |
1,670,034,582 | I_kwDODunzps5jirSW | 5,761 | One or several metadata.jsonl were found, but not in the same directory or in a parent directory | open | 2023-04-16T16:21:55 | 2023-04-19T11:53:24 | https://github.com/huggingface/datasets/issues/5761 | blghtr | [] | [
"albertvillanova"
] | [
"Also, when generated from a zip archive, the dataset contains only a few images. In my case, 20 versus 2000+ contained in the archive. The generation from folders works as expected.",
"Thanks for reporting, @blghtr.\r\n\r\nYou should include the `metadata.jsonl` in your ZIP archives, at the root level directory.... | NONE | ### Describe the bug
An attempt to generate a dataset from a zip archive using imagefolder and metadata.jsonl does not lead to the expected result. Tried all possible locations of the json file: the file in the archive is ignored (generated dataset contains only images), the file next to the archive like [here](http... | |||
1,670,028,072 | I_kwDODunzps5jipso | 5,760 | Multi-image loading in Imagefolder dataset | open | 2023-04-16T16:01:05 | 2024-12-01T11:16:09 | https://github.com/huggingface/datasets/issues/5760 | vvvm23 | [
"enhancement"
] | [
"mariosasko"
] | [
"Supporting this could be useful (I remember a use-case for this on the Hub). Do you agree @polinaeterna? \r\n\r\nImplementing this should be possible if we iterate over metadata files and build image/audio file paths instead of iterating over image/audio files and looking for the corresponding entries in metadata ... | NONE | ### Feature request
Extend the `imagefolder` dataloading script to support loading multiple images per dataset entry.
This only really makes sense if a metadata file is present.
Currently you can use the following format (example `metadata.jsonl`:
```
{'file_name': 'path_to_image.png', 'metadata': ...}
...
`... | |||
1,669,977,848 | I_kwDODunzps5jidb4 | 5,759 | Can I load in list of list of dict format? | open | 2023-04-16T13:50:14 | 2023-04-19T12:04:36 | https://github.com/huggingface/datasets/issues/5759 | LZY-the-boys | [
"enhancement"
] | [
"albertvillanova"
] | [
"Thanks for reporting, @LZY-the-boys.\r\n\r\nCould you please give more details about what is your intended dataset structure? What are the names of the columns and the value of each row?\r\n\r\nCurrently, the JSON-Lines format is supported:\r\n- Each line correspond to one row of the dataset\r\n- Each line is comp... | NONE | ### Feature request
my jsonl dataset has following format:
```
[{'input':xxx, 'output':xxx},{'input:xxx,'output':xxx},...]
[{'input':xxx, 'output':xxx},{'input:xxx,'output':xxx},...]
```
I try to use `datasets.load_dataset('json', data_files=path)` or `datasets.Dataset.from_json`, it raises
```
File "site-p... | |||
1,669,910,503 | I_kwDODunzps5jiM_n | 5,757 | Tilde (~) is not supported | closed | completed | 2023-04-16T11:48:10 | 2023-04-20T15:30:51 | 2023-04-20T15:30:51Z | https://github.com/huggingface/datasets/issues/5757 | eli-osherovich | [] | [] | [] | CONTRIBUTOR | ### Describe the bug
It seems that `~` is not recognized correctly in local paths. Whenever I try to use it I get an exception
### Steps to reproduce the bug
```python
load_dataset("imagefolder", data_dir="~/data/my_dataset")
```
Will generate the following error:
```
EmptyDatasetError: The directory at ... | |
1,669,678,080 | I_kwDODunzps5jhUQA | 5,756 | Calling shuffle on a IterableDataset with streaming=True, gives "ValueError: cannot reshape array" | closed | completed | 2023-04-16T04:59:47 | 2023-04-18T03:40:56 | 2023-04-18T03:40:56Z | https://github.com/huggingface/datasets/issues/5756 | rohfle | [] | [] | [
"Hi! I've merged a PR on the Hub with a fix: https://huggingface.co/datasets/fashion_mnist/discussions/3",
"Thanks, this appears to have fixed the issue.\r\n\r\nI've created a PR for the same change in the mnist dataset: https://huggingface.co/datasets/mnist/discussions/3/files"
] | NONE | ### Describe the bug
When calling shuffle on a IterableDataset with streaming=True, I get the following error:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/administrator/Documents/Projects/huggingface/jax-diffusers-sprint-consistency-models/virtualenv/lib/python3.1... | |
1,669,048,438 | I_kwDODunzps5je6h2 | 5,755 | ImportError: cannot import name 'DeprecatedEnum' from 'datasets.utils.deprecation_utils' | closed | completed | 2023-04-14T23:28:54 | 2023-04-14T23:36:19 | 2023-04-14T23:36:19Z | https://github.com/huggingface/datasets/issues/5755 | fivejjs | [] | [] | [
"update the version. fix"
] | NONE | ### Describe the bug
The module moved to new place?
### Steps to reproduce the bug
in the import step,
```python
from datasets.utils.deprecation_utils import DeprecatedEnum
```
error:
```
ImportError: cannot import name 'DeprecatedEnum' from 'datasets.utils.deprecation_utils'
```
### Expected behavior... | |
1,668,659,536 | I_kwDODunzps5jdblQ | 5,753 | [IterableDatasets] Add column followed by interleave datasets gives bogus outputs | closed | completed | 2023-04-14T17:32:31 | 2025-07-04T05:22:53 | 2023-04-14T17:36:37Z | https://github.com/huggingface/datasets/issues/5753 | sanchit-gandhi | [] | [] | [
"Problem with the code snippet! Using global vars and functions was not a good idea with iterable datasets!\r\n\r\nIf we update to:\r\n```python\r\nfrom datasets import load_dataset\r\n\r\noriginal_dataset = load_dataset(\"librispeech_asr\", \"clean\", split=\"validation\", streaming=True)\r\n\r\n# now add a new co... | CONTRIBUTOR | ### Describe the bug
If we add a new column to our iterable dataset using the hack described in #5752, when we then interleave datasets the new column is pinned to one value.
### Steps to reproduce the bug
What we're going to do here is:
1. Load an iterable dataset in streaming mode (`original_dataset`)
2. A... | |
1,668,574,209 | I_kwDODunzps5jdGwB | 5,752 | Streaming dataset looses `.feature` method after `.add_column` | open | 2023-04-14T16:39:50 | 2024-01-18T10:15:20 | https://github.com/huggingface/datasets/issues/5752 | sanchit-gandhi | [
"bug"
] | [] | [
"I believe the issue resides in this line:\r\nhttps://github.com/huggingface/datasets/blob/7c3a9b057c476c40d157bd7a5d57f49066239df0/src/datasets/iterable_dataset.py#L1415\r\n\r\nIf we pass the **new** features of the dataset to the `.map` method we can return the features after adding a column, e.g.:\r\n```python\r... | CONTRIBUTOR | ### Describe the bug
After appending a new column to a streaming dataset using `.add_column`, we can no longer access the list of dataset features using the `.feature` method.
### Steps to reproduce the bug
```python
from datasets import load_dataset
original_dataset = load_dataset("librispeech_asr", "clean", sp... | |||
1,668,289,067 | I_kwDODunzps5jcBIr | 5,750 | Fail to create datasets from a generator when using Google Big Query | closed | completed | 2023-04-14T13:50:59 | 2023-04-17T12:20:43 | 2023-04-17T12:20:43Z | https://github.com/huggingface/datasets/issues/5750 | ivanprado | [] | [] | [
"`from_generator` expects a generator function, not a generator object, so this should work:\r\n```python\r\nfrom datasets import Dataset\r\nfrom google.cloud import bigquery\r\n\r\nclient = bigquery.Client()\r\n\r\ndef gen()\r\n # Perform a query.\r\n QUERY = (\r\n 'SELECT name FROM `bigquery-public-d... | NONE | ### Describe the bug
Creating a dataset from a generator using `Dataset.from_generator()` fails if the generator is the [Google Big Query Python client](https://cloud.google.com/python/docs/reference/bigquery/latest). The problem is that the Big Query client is not pickable. And the function `create_config_id` tries t... | |
1,668,016,321 | I_kwDODunzps5ja-jB | 5,749 | AttributeError: 'Version' object has no attribute 'match' | closed | completed | 2023-04-14T10:48:06 | 2023-06-30T11:31:17 | 2023-04-18T12:57:08Z | https://github.com/huggingface/datasets/issues/5749 | gulnaz-zh | [] | [
"albertvillanova"
] | [
"I got the same error, and the official website for visual genome is down. Did you solve this problem? ",
"I am in the same situation now :( ",
"Thanks for reporting, @gulnaz-zh.\r\n\r\nI am investigating it.",
"The host server is down: https://visualgenome.org/\r\n\r\nWe are contacting the dataset authors.",... | NONE | ### Describe the bug
When I run
from datasets import load_dataset
data = load_dataset("visual_genome", 'region_descriptions_v1.2.0')
AttributeError: 'Version' object has no attribute 'match'
### Steps to reproduce the bug
from datasets import load_dataset
data = load_dataset("visual_genome", 'region_descripti... | |
1,667,076,620 | I_kwDODunzps5jXZIM | 5,744 | [BUG] With Pandas 2.0.0, `load_dataset` raises `TypeError: read_csv() got an unexpected keyword argument 'mangle_dupe_cols'` | closed | completed | 2023-04-13T20:21:28 | 2024-04-09T16:13:59 | 2023-07-06T17:01:59Z | https://github.com/huggingface/datasets/issues/5744 | keyboardAnt | [] | [
"albertvillanova"
] | [
"Thanks for reporting, @keyboardAnt.\r\n\r\nWe haven't noticed any crash in our CI tests. Could you please indicate specifically the `load_dataset` command that crashes in your side, so that we can reproduce it?",
"This has been fixed in `datasets` 2.11",
"I am still getting this bug with the latest pandas and ... | NONE | The `load_dataset` function with Pandas `1.5.3` has no issue (just a FutureWarning) but crashes with Pandas `2.0.0`.
For your convenience, I opened a draft Pull Request to fix it quickly: https://github.com/huggingface/datasets/pull/5745
---
* The FutureWarning mentioned above:
```
FutureWarning: the 'mangle_... | |
1,666,843,832 | I_kwDODunzps5jWgS4 | 5,743 | dataclass.py in virtual environment is overriding the stdlib module "dataclasses" | closed | completed | 2023-04-13T17:28:33 | 2023-04-17T12:23:18 | 2023-04-17T12:23:18Z | https://github.com/huggingface/datasets/issues/5743 | syedabdullahhassan | [] | [] | [
"We no longer depend on `dataclasses` (for almost a year), so I don't think our package is the problematic one. \r\n\r\nI think it makes more sense to raise this issue in the `dataclasses` repo: https://github.com/ericvsmith/dataclasses."
] | NONE | ### Describe the bug
"e:\Krish_naik\FSDSRegression\venv\Lib\dataclasses.py" is overriding the stdlib module "dataclasses"
### Steps to reproduce the bug
module issue
### Expected behavior
overriding the stdlib module "dataclasses"
### Environment info
VS code | |
1,663,762,901 | I_kwDODunzps5jKwHV | 5,739 | weird result during dataset split when data path starts with `/data` | open | 2023-04-12T04:51:35 | 2023-04-21T14:20:59 | https://github.com/huggingface/datasets/issues/5739 | airlsyn | [] | [] | [
"Same problem.",
"hi! \r\nI think you can run python from `/data/train/raw/` directory and load dataset as `load_dataset(\"code_contests\")` to mitigate this issue as a workaround. \r\n@ericxsun Do you want to open a PR to fix the regex? As you already found the solution :) ",
"> hi! I think you can run python ... | NONE | ### Describe the bug
The regex defined here https://github.com/huggingface/datasets/blob/f2607935c4e45c70c44fcb698db0363ca7ba83d4/src/datasets/utils/py_utils.py#L158
will cause a weird result during dataset split when data path starts with `/data`
### Steps to reproduce the bug
1. clone dataset into local path
... | |||
1,663,477,690 | I_kwDODunzps5jJqe6 | 5,738 | load_dataset("text","dataset.txt") loads the wrong dataset! | closed | completed | 2023-04-12T01:07:46 | 2023-04-19T12:08:27 | 2023-04-19T12:08:27Z | https://github.com/huggingface/datasets/issues/5738 | Tylersuard | [] | [] | [
"You need to provide a text file as `data_files`, not as a configuration:\r\n\r\n```python\r\nmy_dataset = load_dataset(\"text\", data_files=\"TextFile.txt\")\r\n```\r\n\r\nOtherwise, since `data_files` is `None`, it picks up Colab's sample datasets from the `content` dir."
] | NONE | ### Describe the bug
I am trying to load my own custom text dataset using the load_dataset function. My dataset is a bunch of ordered text, think along the lines of shakespeare plays. However, after I load the dataset and I inspect it, the dataset is a table with a bunch of latitude and longitude values! What in th... | |
1,662,919,811 | I_kwDODunzps5jHiSD | 5,737 | ClassLabel Error | closed | completed | 2023-04-11T17:14:13 | 2023-04-13T16:49:57 | 2023-04-13T16:49:57Z | https://github.com/huggingface/datasets/issues/5737 | mrcaelumn | [] | [] | [
"Hi, you can use the `cast_column` function to change the feature type from a `Value(int64)` to `ClassLabel`:\r\n\r\n```py\r\ndataset = dataset.cast_column(\"label\", ClassLabel(names=[\"label_1\", \"label_2\", \"label_3\"]))\r\nprint(dataset.features)\r\n{'text': Value(dtype='string', id=None),\r\n 'label': ClassL... | NONE | ### Describe the bug
I still getting the error "call() takes 1 positional argument but 2 were given" even after ensuring that the value being passed to the label object is a single value and that the ClassLabel object has been created with the correct number of label classes
### Steps to reproduce the bug
from... | |
1,662,286,061 | I_kwDODunzps5jFHjt | 5,736 | FORCE_REDOWNLOAD raises "Directory not empty" exception on second run | open | 2023-04-11T11:29:15 | 2023-11-30T07:16:58 | https://github.com/huggingface/datasets/issues/5736 | rcasero | [] | [] | [
"Hi ! I couldn't reproduce your issue :/\r\n\r\nIt seems that `shutil.rmtree` failed. It is supposed to work even if the directory is not empty, but you still end up with `OSError: [Errno 39] Directory not empty:`. Can you make sure another process is not using this directory at the same time ?",
"I have the same... | NONE | ### Describe the bug
Running `load_dataset(..., download_mode=datasets.DownloadMode.FORCE_REDOWNLOAD)` twice raises a `Directory not empty` exception on the second run.
### Steps to reproduce the bug
I cannot test this on datasets v2.11.0 due to #5711, but this happens in v2.10.1.
1. Set up a script `my_dataset.p... | |||
1,662,058,028 | I_kwDODunzps5jEP4s | 5,734 | Remove temporary pin of fsspec | closed | completed | 2023-04-11T09:04:17 | 2023-04-11T11:04:52 | 2023-04-11T11:04:52Z | https://github.com/huggingface/datasets/issues/5734 | albertvillanova | [
"bug"
] | [
"albertvillanova"
] | [] | MEMBER | Once root cause is found and fixed, remove the temporary pin introduced by:
- #5731 | |
1,662,020,571 | I_kwDODunzps5jEGvb | 5,732 | Enwik8 should support the standard split | closed | completed | 2023-04-11T08:38:53 | 2023-04-11T09:28:17 | 2023-04-11T09:28:16Z | https://github.com/huggingface/datasets/issues/5732 | lucaslingle | [
"enhancement"
] | [
"lucaslingle"
] | [
"#self-assign",
"The Enwik8 pipeline is not present in this codebase, and is hosted elsewhere. I have opened a PR [there](https://huggingface.co/datasets/enwik8/discussions/4) instead. "
] | NONE | ### Feature request
The HuggingFace Datasets library currently supports two BuilderConfigs for Enwik8. One config yields individual lines as examples, while the other config yields the entire dataset as a single example. Both support only a monolithic split: it is all grouped as "train".
The HuggingFace Datasets l... | |
1,662,007,926 | I_kwDODunzps5jEDp2 | 5,730 | CI is broken: ValueError: Name (mock) already in the registry and clobber is False | closed | completed | 2023-04-11T08:29:46 | 2023-04-11T08:47:56 | 2023-04-11T08:47:56Z | https://github.com/huggingface/datasets/issues/5730 | albertvillanova | [
"bug"
] | [
"albertvillanova"
] | [] | MEMBER | CI is broken for `test_py310`.
See: https://github.com/huggingface/datasets/actions/runs/4665326892/jobs/8258580948
```
=========================== short test summary info ============================
ERROR tests/test_builder.py::test_builder_with_filesystem_download_and_prepare - ValueError: Name (mock) already ... | |
1,661,925,932 | I_kwDODunzps5jDvos | 5,728 | The order of data split names is nondeterministic | closed | completed | 2023-04-11T07:31:25 | 2023-04-26T15:05:13 | 2023-04-26T15:05:13Z | https://github.com/huggingface/datasets/issues/5728 | albertvillanova | [
"bug"
] | [
"albertvillanova"
] | [] | MEMBER | After this CI error: https://github.com/huggingface/datasets/actions/runs/4639528358/jobs/8210492953?pr=5718
```
FAILED tests/test_data_files.py::test_get_data_files_patterns[data_file_per_split4] - AssertionError: assert ['random', 'train'] == ['train', 'random']
At index 0 diff: 'random' != 'train'
Full diff:... | |
1,661,536,363 | I_kwDODunzps5jCQhr | 5,727 | load_dataset fails with FileNotFound error on Windows | closed | completed | 2023-04-10T23:21:12 | 2023-07-21T14:08:20 | 2023-07-21T14:08:19Z | https://github.com/huggingface/datasets/issues/5727 | joelkowalewski | [] | [] | [
"Hi! Can you please paste the entire error stack trace, not only the last few lines?",
"`----> 1 dataset = datasets.load_dataset(\"glue\", \"ax\")\r\n\r\nFile ~\\anaconda3\\envs\\huggingface\\Lib\\site-packages\\datasets\\load.py:1767, in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, ... | NONE | ### Describe the bug
Although I can import and run the datasets library in a Colab environment, I cannot successfully load any data on my own machine (Windows 10) despite following the install steps:
(1) create conda environment
(2) activate environment
(3) install with: ``conda` install -c huggingface -c conda-... | |
1,660,944,807 | I_kwDODunzps5jAAGn | 5,726 | Fallback JSON Dataset loading does not load all values when features specified manually | closed | completed | 2023-04-10T15:22:14 | 2023-04-21T06:35:28 | 2023-04-21T06:35:28Z | https://github.com/huggingface/datasets/issues/5726 | myluki2000 | [] | [
"albertvillanova"
] | [
"Thanks for reporting, @myluki2000.\r\n\r\nI am working on a fix."
] | NONE | ### Describe the bug
The fallback JSON dataset loader located here:
https://github.com/huggingface/datasets/blob/1c4ec00511868bd881e84a6f7e0333648d833b8e/src/datasets/packaged_modules/json/json.py#L130-L153
does not load the values of features correctly when features are specified manually and not all features... | |
1,660,455,202 | I_kwDODunzps5i-Iki | 5,725 | How to limit the number of examples in dataset, for testing? | closed | completed | 2023-04-10T08:41:43 | 2023-04-21T06:16:24 | 2023-04-21T06:16:24Z | https://github.com/huggingface/datasets/issues/5725 | ndvbd | [] | [] | [
"Hi! You can use the `nrows` parameter for this:\r\n```python\r\ndata = load_dataset(\"json\", data_files=data_path, nrows=10)\r\n```",
"@mariosasko I get:\r\n\r\n`TypeError: __init__() got an unexpected keyword argument 'nrows'`",
"I misread the format in which the dataset is stored - the `nrows` parameter wo... | NONE | ### Describe the bug
I am using this command:
`data = load_dataset("json", data_files=data_path)`
However, I want to add a parameter, to limit the number of loaded examples to be 10, for development purposes, but can't find this simple parameter.
### Steps to reproduce the bug
In the description.
### Expected beh... | |
1,659,938,135 | I_kwDODunzps5i8KVX | 5,724 | Error after shuffling streaming IterableDatasets with downloaded dataset | closed | completed | 2023-04-09T16:58:44 | 2023-04-20T20:37:30 | 2023-04-20T20:37:30Z | https://github.com/huggingface/datasets/issues/5724 | szxiangjn | [] | [] | [
"Moving `\"en\"` to the end of the path instead of passing it as a config name should fix the error:\r\n```python\r\nimport datasets\r\ndataset = datasets.load_dataset('/path/to/your/data/dir/en', streaming=True, split='train')\r\ndataset = dataset.shuffle(buffer_size=10_000, seed=42)\r\nnext(iter(dataset))\r\n```\... | NONE | ### Describe the bug
I downloaded the C4 dataset, and used streaming IterableDatasets to read it. Everything went normal until I used `dataset = dataset.shuffle(seed=42, buffer_size=10_000)` to shuffle the dataset. Shuffled dataset will throw the following error when it is used by `next(iter(dataset))`:
```
File "/d... | |
1,659,837,510 | I_kwDODunzps5i7xxG | 5,722 | Distributed Training Error on Customized Dataset | closed | completed | 2023-04-09T11:04:59 | 2023-07-24T14:50:46 | 2023-07-24T14:50:46Z | https://github.com/huggingface/datasets/issues/5722 | wlhgtc | [] | [] | [
"Hmm the error doesn't seem related to data loading.\r\n\r\nRegarding `split_dataset_by_node`: it's generally used to split an iterable dataset (e.g. when streaming) in pytorch DDP. It's not needed if you use a regular dataset since the pytorch DataLoader already assigns a subset of the dataset indices to each node... | NONE | Hi guys, recently I tried to use `datasets` to train a dual encoder.
I finish my own datasets according to the nice [tutorial](https://huggingface.co/docs/datasets/v2.11.0/en/dataset_script)
Here are my code:
```python
class RetrivalDataset(datasets.GeneratorBasedBuilder):
"""CrossEncoder dataset."""
B... | |
1,659,680,682 | I_kwDODunzps5i7Leq | 5,721 | Calling datasets.load_dataset("text" ...) results in a wrong split. | open | 2023-04-08T23:55:12 | 2023-04-08T23:55:12 | https://github.com/huggingface/datasets/issues/5721 | cyrilzakka | [] | [] | [] | NONE | ### Describe the bug
When creating a text dataset, the training split should have the bulk of the examples by default. Currently, testing does.
### Steps to reproduce the bug
I have a folder with 18K text files in it. Each text file essentially consists in a document or article scraped from online. Calling the follo... | |||
1,659,610,705 | I_kwDODunzps5i66ZR | 5,720 | Streaming IterableDatasets do not work with torch DataLoaders | open | 2023-04-08T18:45:48 | 2025-03-19T14:06:47 | https://github.com/huggingface/datasets/issues/5720 | jlehrer1 | [] | [] | [
"Edit: This behavior is true even without `.take/.set`",
"I'm experiencing the same problem that @jlehrer1. I was able to reproduce it with a very small example:\r\n\r\n```py\r\nfrom datasets import Dataset, load_dataset, load_dataset_builder\r\nfrom torch.utils.data import DataLoader\r\n\r\n\r\ndef my_gen():\r\n... | NONE | ### Describe the bug
When using streaming datasets set up with train/val split using `.skip()` and `.take()`, the following error occurs when iterating over a torch dataloader:
```
File "/Users/julian/miniconda3/envs/sims/lib/python3.9/site-packages/torch/utils/data/dataloader.py", line 363, in __iter__
self.... | |||
1,659,203,222 | I_kwDODunzps5i5W6W | 5,719 | Array2D feature creates a list of list instead of a numpy array | closed | completed | 2023-04-07T21:04:08 | 2023-04-20T15:34:41 | 2023-04-20T15:34:41Z | https://github.com/huggingface/datasets/issues/5719 | offchan42 | [] | [] | [
"Hi! \r\n\r\nYou need to set the format to `np` before indexing the dataset to get NumPy arrays:\r\n```python\r\nfeatures = Features(dict(seq=Array2D((2,2), 'float32'))) \r\nds = Dataset.from_dict(dict(seq=[np.random.rand(2,2)]), features=features)\r\nds.set_format(\"np\")\r\na = ds[0]['seq']\r\n```\r\n\r\n> I th... | NONE | ### Describe the bug
I'm not sure if this is expected behavior or not. When I create a 2D array using `Array2D`, the data has list type instead of numpy array. I think it should not be the expected behavior especially when I feed a numpy array as input to the data creation function. Why is it converting my array int... | |
1,658,729,866 | I_kwDODunzps5i3jWK | 5,717 | Errror when saving to disk a dataset of images | open | 2023-04-07T11:59:17 | 2025-07-13T08:27:47 | https://github.com/huggingface/datasets/issues/5717 | jplu | [] | [
"mariosasko"
] | [
"Looks like as long as the number of shards makes a batch lower than 1000 images it works. In my training set I have 40K images. If I use `num_shards=40` (batch of 1000 images) I get the error, but if I update it to `num_shards=50` (batch of 800 images) it works.\r\n\r\nI will be happy to share my dataset privately... | CONTRIBUTOR | ### Describe the bug
Hello!
I have an issue when I try to save on disk my dataset of images. The error I get is:
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/jplu/miniconda3/envs/image-xp/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 1442, in save_... | |||
1,658,613,092 | I_kwDODunzps5i3G1k | 5,716 | Handle empty audio | closed | completed | 2023-04-07T09:51:40 | 2023-09-27T17:47:08 | 2023-09-27T17:47:08Z | https://github.com/huggingface/datasets/issues/5716 | zyb8543d | [] | [] | [
"Hi! Can you share one of the problematic audio files with us?\r\n\r\nI tried to reproduce the error with the following code: \r\n```python\r\nimport soundfile as sf\r\nimport numpy as np\r\nfrom datasets import Audio\r\n\r\nsf.write(\"empty.wav\", np.array([]), 16000)\r\nAudio(sampling_rate=24000).decode_example(... | NONE | Some audio paths exist, but they are empty, and an error will be reported when reading the audio path.How to use the filter function to avoid the empty audio path?
when a audio is empty, when do resample , it will break:
`array, sampling_rate = sf.read(f) array = librosa.resample(array, orig_sr=sampling_rate, target_... | |
1,657,479,788 | I_kwDODunzps5iyyJs | 5,715 | Return Numpy Array (fixed length) Mode, in __get_item__, Instead of List | closed | completed | 2023-04-06T13:57:48 | 2023-04-20T17:16:26 | 2023-04-20T17:16:26Z | https://github.com/huggingface/datasets/issues/5715 | jungbaepark | [
"enhancement"
] | [] | [
"Hi! \r\n\r\nYou can use [`.set_format(\"np\")`](https://huggingface.co/docs/datasets/process#format) to get NumPy arrays (or Pytorch tensors with `.set_format(\"torch\")`) in `__getitem__`.\r\n\r\nAlso, have you been able to reproduce the linked PyTorch issue with a HF dataset?\r\n "
] | NONE | ### Feature request
There are old known issues, but they can be easily forgettable problems in multiprocessing with pytorch-dataloader:
Too high usage of RAM or shared-memory in pytorch when we set num workers > 1 and returning type of dataset or dataloader is "List" or "Dict".
https://github.com/pytorch/pytorch... | |
1,657,141,251 | I_kwDODunzps5ixfgD | 5,713 | ArrowNotImplementedError when loading dataset from the hub | closed | completed | 2023-04-06T10:27:22 | 2023-04-06T13:06:22 | 2023-04-06T13:06:21Z | https://github.com/huggingface/datasets/issues/5713 | jplu | [] | [] | [
"Hi Julien ! This sounds related to https://github.com/huggingface/datasets/issues/5695 - TL;DR: you need to have shards smaller than 2GB to avoid this issue\r\n\r\nThe number of rows per shard is computed using an estimated size of the full dataset, which can sometimes lead to shards bigger than `max_shard_size`. ... | CONTRIBUTOR | ### Describe the bug
Hello,
I have created a dataset by using the image loader. Once the dataset is created I try to download it and I get the error:
```
Traceback (most recent call last):
File "/home/jplu/miniconda3/envs/image-xp/lib/python3.10/site-packages/datasets/builder.py", line 1860, in _prepare_split_... | |
1,655,972,106 | I_kwDODunzps5itCEK | 5,712 | load_dataset in v2.11.0 raises "ValueError: seek of closed file" in np.load() | closed | completed | 2023-04-05T16:47:10 | 2023-04-06T08:32:37 | 2023-04-05T17:17:44Z | https://github.com/huggingface/datasets/issues/5712 | rcasero | [] | [] | [
"Closing since this is a duplicate of #5711",
"> Closing since this is a duplicate of #5711\r\n\r\nSorry @mariosasko , my internet went down went submitting the issue, and somehow it ended up creating a duplicate"
] | NONE | ### Describe the bug
Hi,
I have some `dataset_load()` code of a custom offline dataset that works with datasets v2.10.1.
```python
ds = datasets.load_dataset(path=dataset_dir,
name=configuration,
data_dir=dataset_dir,
... | |
1,655,971,647 | I_kwDODunzps5itB8_ | 5,711 | load_dataset in v2.11.0 raises "ValueError: seek of closed file" in np.load() | closed | completed | 2023-04-05T16:46:49 | 2023-04-07T09:16:59 | 2023-04-07T09:16:59Z | https://github.com/huggingface/datasets/issues/5711 | rcasero | [] | [
"albertvillanova"
] | [
"It seems like https://github.com/huggingface/datasets/pull/5626 has introduced this error. \r\n\r\ncc @albertvillanova \r\n\r\nI think replacing:\r\nhttps://github.com/huggingface/datasets/blob/0803a006db1c395ac715662cc6079651f77c11ea/src/datasets/download/streaming_download_manager.py#L777-L778\r\nwith:\r\n```pyt... | NONE | ### Describe the bug
Hi,
I have some `dataset_load()` code of a custom offline dataset that works with datasets v2.10.1.
```python
ds = datasets.load_dataset(path=dataset_dir,
name=configuration,
data_dir=dataset_dir,
... | |
1,655,703,534 | I_kwDODunzps5isAfu | 5,710 | OSError: Memory mapping file failed: Cannot allocate memory | closed | completed | 2023-04-05T14:11:26 | 2023-04-20T17:16:40 | 2023-04-20T17:16:40Z | https://github.com/huggingface/datasets/issues/5710 | Saibo-creator | [] | [] | [
"Hi! This error means that PyArrow's internal [`mmap`](https://man7.org/linux/man-pages/man2/mmap.2.html) call failed to allocate memory, which can be tricky to debug. Since this error is more related to PyArrow than us, I think it's best to report this issue in their [repo](https://github.com/apache/arrow) (they a... | NONE | ### Describe the bug
Hello, I have a series of datasets each of 5 GB, 600 datasets in total. So together this makes 3TB.
When I trying to load all the 600 datasets into memory, I get the above error message.
Is this normal because I'm hitting the max size of memory mapping of the OS?
Thank you
```te... | |
1,655,423,503 | I_kwDODunzps5iq8IP | 5,709 | Manually dataset info made not taken into account | closed | completed | 2023-04-05T11:15:17 | 2023-04-06T08:52:20 | 2023-04-06T08:52:19Z | https://github.com/huggingface/datasets/issues/5709 | jplu | [] | [] | [
"hi @jplu ! Did I understand you correctly that you create the dataset, push it to the Hub with `.push_to_hub` and you see a `dataset_infos.json` file there, then you edit this file, load the dataset with `load_dataset` and you don't see any changes in `.info` attribute of a dataset object? \r\n\r\nThis is actually... | CONTRIBUTOR | ### Describe the bug
Hello,
I'm manually building an image dataset with the `from_dict` approach. I also build the features with the `cast_features` methods. Once the dataset is created I push it on the hub, and a default `dataset_infos.json` file seems to have been automatically added to the repo in same time. Hen... | |
1,655,023,642 | I_kwDODunzps5ipaga | 5,708 | Dataset sizes are in MiB instead of MB in dataset cards | closed | completed | 2023-04-05T06:36:03 | 2023-12-21T10:20:28 | 2023-12-21T10:20:27Z | https://github.com/huggingface/datasets/issues/5708 | albertvillanova | [
"bug",
"dataset-viewer"
] | [
"albertvillanova"
] | [
"Example of bulk edit: https://huggingface.co/datasets/aeslc/discussions/5",
"looks great! \r\n\r\nDo you encode the fact that you've already converted a dataset? (to not convert it twice) or do you base yourself on the info contained in `dataset_info`",
"I am only looping trough the dataset cards, assuming tha... | MEMBER | As @severo reported in an internal discussion (https://github.com/huggingface/moon-landing/issues/5929):
Now we show the dataset size:
- from the dataset card (in the side column)
- from the datasets-server (in the viewer)
But, even if the size is the same, we see a mismatch because the viewer shows MB, while t... | |
1,653,545,835 | I_kwDODunzps5ijxtr | 5,706 | Support categorical data types for Parquet | closed | completed | 2023-04-04T09:45:35 | 2024-06-07T12:20:43 | 2024-06-07T12:20:43Z | https://github.com/huggingface/datasets/issues/5706 | kklemon | [
"enhancement"
] | [
"mhattingpete"
] | [
"Hi ! We could definitely a type that holds the categories and uses a DictionaryType storage. There's a ClassLabel type that is similar with a 'names' parameter (similar to a id2label in deep learning frameworks) that uses an integer array as storage.\r\n\r\nIt can be added in `features.py`. Here are some pointers:... | NONE | ### Feature request
Huggingface datasets does not seem to support categorical / dictionary data types for Parquet as of now. There seems to be a `TODO` in the code for this feature but no implementation yet. Below you can find sample code to reproduce the error that is currently thrown when attempting to read a Parq... | |
1,653,500,383 | I_kwDODunzps5ijmnf | 5,705 | Getting next item from IterableDataset took forever. | closed | completed | 2023-04-04T09:16:17 | 2023-04-05T23:35:41 | 2023-04-05T23:35:41Z | https://github.com/huggingface/datasets/issues/5705 | HongtaoYang | [] | [] | [
"Hi! It can take some time to iterate over Parquet files as big as yours, convert the samples to Python, and find the first one that matches a filter predicate before yielding it...",
"Thanks @mariosasko, I figured it was the filter operation. I'm closing this issue because it is not a bug, it is the expected beh... | NONE | ### Describe the bug
I have a large dataset, about 500GB. The format of the dataset is parquet.
I then load the dataset and try to get the first item
```python
def get_one_item():
dataset = load_dataset("path/to/datafiles", split="train", cache_dir=".", streaming=True)
dataset = dataset.filter(lambda... | |
1,653,104,720 | I_kwDODunzps5iiGBQ | 5,702 | Is it possible or how to define a `datasets.Sequence` that could potentially be either a dict, a str, or None? | closed | completed | 2023-04-04T03:20:43 | 2023-04-05T14:15:18 | 2023-04-05T14:15:17Z | https://github.com/huggingface/datasets/issues/5702 | gitforziio | [
"enhancement"
] | [] | [
"Hi ! `datasets` uses Apache Arrow as backend to store the data, and it requires each column to have a fixed type. Therefore a column can't have a mix of dicts/lists/strings.\r\n\r\nThough it's possible to have one (nullable) field for each type:\r\n```python\r\nfeatures = Features({\r\n \"text_alone\": Value(\"... | NONE | ### Feature request
Hello! Apologies if my question sounds naive:
I was wondering if it’s possible, or how one would go about defining a 'datasets.Sequence' element in datasets.Features that could potentially be either a dict, a str, or None?
Specifically, I’d like to define a feature for a list that contains 18... | |
1,652,437,419 | I_kwDODunzps5ifjGr | 5,699 | Issue when wanting to split in memory a cached dataset | open | 2023-04-03T17:00:07 | 2024-05-15T13:12:18 | https://github.com/huggingface/datasets/issues/5699 | FrancoisNoyez | [] | [] | [
"Hi ! Good catch, this is wrong indeed and thanks for opening a PR :)",
"Facing the same issue. Kindly fix this bug."
] | NONE | ### Describe the bug
**In the 'train_test_split' method of the Dataset class** (defined datasets/arrow_dataset.py), **if 'self.cache_files' is not empty**, then, **regarding the input parameters 'train_indices_cache_file_name' and 'test_indices_cache_file_name', if they are None**, we modify them to make them not No... | |||
1,652,183,611 | I_kwDODunzps5ielI7 | 5,698 | Add Qdrant as another search index | open | 2023-04-03T14:25:19 | 2023-04-11T10:28:40 | https://github.com/huggingface/datasets/issues/5698 | kacperlukawski | [
"enhancement"
] | [] | [
"@mariosasko I'd appreciate your feedback on this. "
] | CONTRIBUTOR | ### Feature request
I'd suggest adding Qdrant (https://qdrant.tech) as another search index available, so users can directly build an index from a dataset. Currently, FAISS and ElasticSearch are only supported: https://huggingface.co/docs/datasets/faiss_es
### Motivation
ElasticSearch is a keyword-based search syst... |
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