id int64 599M 3.26B | number int64 1 7.7k | title stringlengths 1 290 | body stringlengths 0 228k ⌀ | state stringclasses 2
values | html_url stringlengths 46 51 | created_at timestamp[s]date 2020-04-14 10:18:02 2025-07-23 08:04:53 | updated_at timestamp[s]date 2020-04-27 16:04:17 2025-07-23 18:53:44 | closed_at timestamp[s]date 2020-04-14 12:01:40 2025-07-23 16:44:42 ⌀ | user dict | labels listlengths 0 4 | is_pull_request bool 2
classes | comments listlengths 0 0 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
2,208,892,891 | 6,759 | Persistent multi-process Pool | ### Feature request
Running .map and filter functions with `num_procs` consecutively instantiates several multiprocessing pools iteratively.
As instantiating a Pool is very resource intensive it can be a bottleneck to performing iteratively filtering.
My ideas:
1. There should be an option to declare `persist... | open | https://github.com/huggingface/datasets/issues/6759 | 2024-03-26T17:35:25 | 2024-03-26T17:35:25 | null | {
"login": "fostiropoulos",
"id": 4337024,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,208,494,302 | 6,758 | Passing `sample_by` to `load_dataset` when loading text data does not work | ### Describe the bug
I have a dataset that consists of a bunch of text files, each representing an example. There is an undocumented `sample_by` argument for the `TextConfig` class that is used by `Text` to decide whether to split files into lines, paragraphs or take them whole. Passing `sample_by=“document”` to `load... | closed | https://github.com/huggingface/datasets/issues/6758 | 2024-03-26T14:55:33 | 2024-04-09T11:27:59 | 2024-04-09T11:27:59 | {
"login": "ntoxeg",
"id": 823693,
"type": "User"
} | [] | false | [] |
2,206,280,340 | 6,757 | Test disabling transformers containers in docs CI | Related to https://github.com/huggingface/doc-builder/pull/487 and [internal slack thread](https://huggingface.slack.com/archives/C04F8N7FQNL/p1711384899462349?thread_ts=1711041424.720769&cid=C04F8N7FQNL). There is now a `custom_container` option when building docs in CI. When set to `""` (instead of `"huggingface/tran... | open | https://github.com/huggingface/datasets/pull/6757 | 2024-03-25T17:16:11 | 2024-03-27T16:26:35 | null | {
"login": "Wauplin",
"id": 11801849,
"type": "User"
} | [] | true | [] |
2,205,557,725 | 6,756 | Support SQLite files? | ### Feature request
Support loading a dataset from a SQLite file
https://huggingface.co/datasets/severo/test_iris_sqlite/tree/main
### Motivation
SQLite is a popular file format.
### Your contribution
See discussion on slack: https://huggingface.slack.com/archives/C04L6P8KNQ5/p1702481859117909 (internal)
In ... | closed | https://github.com/huggingface/datasets/issues/6756 | 2024-03-25T11:48:05 | 2024-03-26T16:09:32 | 2024-03-26T16:09:32 | {
"login": "severo",
"id": 1676121,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,204,573,289 | 6,755 | Small typo on the documentation | ### Describe the bug
There is a small typo on https://github.com/huggingface/datasets/blob/d5468836fe94e8be1ae093397dd43d4a2503b926/src/datasets/dataset_dict.py#L938
It should be `caching is enabled`.
### Steps to reproduce the bug
Please visit
https://github.com/huggingface/datasets/blob/d5468836fe94e... | closed | https://github.com/huggingface/datasets/issues/6755 | 2024-03-24T21:47:52 | 2024-04-02T14:01:19 | 2024-04-02T14:01:19 | {
"login": "fostiropoulos",
"id": 4337024,
"type": "User"
} | [
{
"name": "good first issue",
"color": "7057ff"
}
] | false | [] |
2,204,214,595 | 6,754 | Fix cache path to snakecase for `CachedDatasetModuleFactory` and `Cache` | Fix https://github.com/huggingface/datasets/issues/6750#issuecomment-2016678729
I didn't find a guideline on how to run the tests, so i just run the following steps to make sure that this bug is fixed.
1. `python test.py`,
2. then `HF_DATASETS_OFFLINE=1 python test.py`
The `test.py` is
```
import datasets
... | closed | https://github.com/huggingface/datasets/pull/6754 | 2024-03-24T06:59:15 | 2024-04-15T15:45:44 | 2024-04-15T15:38:51 | {
"login": "izhx",
"id": 26690193,
"type": "User"
} | [] | true | [] |
2,204,155,091 | 6,753 | Type error when importing datasets on Kaggle | ### Describe the bug
When trying to run
```
import datasets
print(datasets.__version__)
```
It generates the following error
```
TypeError: expected string or bytes-like object
```
It looks like It cannot find the valid versions of `fsspec`
though fsspec version is fine when I checked Via command
... | closed | https://github.com/huggingface/datasets/issues/6753 | 2024-03-24T03:01:30 | 2024-10-02T11:49:35 | 2024-03-30T00:23:49 | {
"login": "jtv199",
"id": 18300717,
"type": "User"
} | [] | false | [] |
2,204,043,839 | 6,752 | Precision being changed from float16 to float32 unexpectedly | ### Describe the bug
I'm loading a HuggingFace Dataset for images.
I'm running a preprocessing (map operation) step that runs a few operations, one of them being conversion to float16. The Dataset features also say that the 'img' is of type float16. Whenever I take an image from that HuggingFace Dataset instance... | open | https://github.com/huggingface/datasets/issues/6752 | 2024-03-23T20:53:56 | 2024-04-10T15:21:33 | null | {
"login": "gcervantes8",
"id": 21228908,
"type": "User"
} | [] | false | [] |
2,203,951,501 | 6,751 | Use 'with' operator for some download functions | Some functions in `streaming_download_manager.py` are not closing the file they open which lead to `Unclosed file` warnings in our code. This fixes a few of them. | closed | https://github.com/huggingface/datasets/pull/6751 | 2024-03-23T16:32:08 | 2024-03-26T00:40:57 | 2024-03-26T00:40:57 | {
"login": "Moisan",
"id": 31669,
"type": "User"
} | [] | true | [] |
2,203,590,658 | 6,750 | `load_dataset` requires a network connection for local download? | ### Describe the bug
Hi all - I see that in the past a network dependency has been mistakenly introduced into `load_dataset` even for local loads. Is it possible this has happened again?
### Steps to reproduce the bug
```
>>> import datasets
>>> datasets.load_dataset("hh-rlhf")
Repo card metadata block was not ... | closed | https://github.com/huggingface/datasets/issues/6750 | 2024-03-23T01:06:32 | 2024-04-15T15:38:52 | 2024-04-15T15:38:52 | {
"login": "MiroFurtado",
"id": 6306695,
"type": "User"
} | [] | false | [] |
2,202,310,116 | 6,749 | Fix fsspec tqdm callback | Following changes at https://github.com/fsspec/filesystem_spec/pull/1497 for `fsspec>=2024.2.0` | closed | https://github.com/huggingface/datasets/pull/6749 | 2024-03-22T11:44:11 | 2024-03-22T14:51:45 | 2024-03-22T14:45:39 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,201,517,348 | 6,748 | Strange slicing behavior | ### Describe the bug
I have loaded a dataset, and then slice first 300 samples using `:` ops, however, the resulting dataset is not expected, as the output below:
```bash
len(dataset)=1050324
len(dataset[:300])=2
len(dataset[0:300])=2
len(dataset.select(range(300)))=300
```
### Steps to reproduce the bug
loa... | open | https://github.com/huggingface/datasets/issues/6748 | 2024-03-22T01:49:13 | 2024-03-22T16:43:57 | null | {
"login": "Luciennnnnnn",
"id": 20135317,
"type": "User"
} | [] | false | [] |
2,201,219,384 | 6,747 | chore(deps): bump fsspec | There were a few fixes released recently, some DVC ecosystem packages require newer version of `fsspec`. | closed | https://github.com/huggingface/datasets/pull/6747 | 2024-03-21T21:25:49 | 2024-03-22T16:40:15 | 2024-03-22T16:28:40 | {
"login": "shcheklein",
"id": 3659196,
"type": "User"
} | [] | true | [] |
2,198,993,949 | 6,746 | ExpectedMoreSplits error when loading C4 dataset | ### Describe the bug
I encounter bug when running the example command line
```python
python main.py \
--model decapoda-research/llama-7b-hf \
--prune_method wanda \
--sparsity_ratio 0.5 \
--sparsity_type unstructured \
--save out/llama_7b/unstructured/wanda/
```
The bug occurred ... | closed | https://github.com/huggingface/datasets/issues/6746 | 2024-03-21T02:53:04 | 2024-09-18T19:57:14 | 2024-07-29T07:21:08 | {
"login": "billwang485",
"id": 65165345,
"type": "User"
} | [] | false | [] |
2,198,541,732 | 6,745 | Scraping the whole of github including private repos is bad; kindly stop | ### Feature request
https://github.com/bigcode-project/opt-out-v2 - opt out is not consent. kindly quit this ridiculous nonsense.
### Motivation
[EDITED: insults not tolerated]
### Your contribution
[EDITED: insults not tolerated] | closed | https://github.com/huggingface/datasets/issues/6745 | 2024-03-20T20:54:06 | 2024-03-21T12:28:04 | 2024-03-21T10:24:56 | {
"login": "ghost",
"id": 10137,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,197,910,168 | 6,744 | Option to disable file locking | ### Feature request
Commands such as `load_dataset` creates file locks with `filelock.FileLock`. It would be good if there was a way to disable this.
### Motivation
File locking doesn't work on all file-systems (in my case NFS mounted Weka). If the `cache_dir` only had small files then it would be possible to point ... | open | https://github.com/huggingface/datasets/issues/6744 | 2024-03-20T15:59:45 | 2024-03-20T15:59:45 | null | {
"login": "VRehnberg",
"id": 35767167,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,195,481,697 | 6,743 | Allow null values in dict columns | Fix #6738 | closed | https://github.com/huggingface/datasets/pull/6743 | 2024-03-19T16:54:22 | 2024-04-08T13:08:42 | 2024-03-19T20:05:19 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
2,195,134,854 | 6,742 | Fix missing download_config in get_data_patterns | Reported in https://github.com/huggingface/datasets-server/issues/2607 | closed | https://github.com/huggingface/datasets/pull/6742 | 2024-03-19T14:29:25 | 2024-03-19T18:24:39 | 2024-03-19T18:15:13 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,194,626,108 | 6,741 | Fix offline mode with single config | Reported in https://github.com/huggingface/datasets/issues/4760
The cache was not able to reload a dataset with a single config form the cache if the config name is not specificed
For example
```python
from datasets import load_dataset, config
config.HF_DATASETS_OFFLINE = True
load_dataset("openai_human... | closed | https://github.com/huggingface/datasets/pull/6741 | 2024-03-19T10:48:32 | 2024-03-25T16:35:21 | 2024-03-25T16:23:59 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,193,172,074 | 6,740 | Support for loading geotiff files as a part of the ImageFolder | ### Feature request
Request for adding rasterio support to load geotiff as a part of ImageFolder, instead of using PIL
### Motivation
As of now, there are many datasets in HuggingFace Hub which are predominantly focussed towards RemoteSensing or are from RemoteSensing. The current ImageFolder (if I have understood c... | closed | https://github.com/huggingface/datasets/issues/6740 | 2024-03-18T20:00:39 | 2024-03-27T18:19:48 | 2024-03-27T18:19:20 | {
"login": "sunny1401",
"id": 31362090,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,192,730,134 | 6,739 | Transpose images with EXIF Orientation tag | Closes https://github.com/huggingface/datasets/issues/6252 | closed | https://github.com/huggingface/datasets/pull/6739 | 2024-03-18T16:43:06 | 2025-07-03T11:33:18 | 2024-03-19T15:29:42 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
2,192,386,536 | 6,738 | Dict feature is non-nullable while nested dict feature is | When i try to create a `Dataset` object with None values inside a dict column, like this:
```python
from datasets import Dataset, Features, Value
Dataset.from_dict(
{
"dict": [{"a": 0, "b": 0}, None],
}, features=Features(
{"dict": {"a": Value("int16"), "b": Value("int16")}}
)
)
... | closed | https://github.com/huggingface/datasets/issues/6738 | 2024-03-18T14:31:47 | 2024-03-20T10:24:15 | 2024-03-19T20:05:20 | {
"login": "polinaeterna",
"id": 16348744,
"type": "User"
} | [
{
"name": "bug",
"color": "d73a4a"
}
] | false | [] |
2,190,198,425 | 6,737 | Invalid pattern: '**' can only be an entire path component | ### Describe the bug
ValueError: Invalid pattern: '**' can only be an entire path component
when loading any dataset
### Steps to reproduce the bug
import datasets
ds = datasets.load_dataset("TokenBender/code_instructions_122k_alpaca_style")
### Expected behavior
loading the dataset successfully
### Environm... | closed | https://github.com/huggingface/datasets/issues/6737 | 2024-03-16T19:28:46 | 2024-07-23T14:23:28 | 2024-05-13T11:32:57 | {
"login": "JPonsa",
"id": 28976175,
"type": "User"
} | [] | false | [] |
2,190,181,422 | 6,736 | Mosaic Streaming (MDS) Support | ### Feature request
I'm a huge fan of the current HF Datasets `webdataset` integration (especially the built-in streaming support). However, I'd love to upload some robotics and multimodal datasets I've processed for use with [Mosaic Streaming](https://docs.mosaicml.com/projects/streaming/en/stable/), specifically the... | open | https://github.com/huggingface/datasets/issues/6736 | 2024-03-16T18:42:04 | 2024-03-18T15:13:34 | null | {
"login": "siddk",
"id": 2498509,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,189,132,932 | 6,735 | Add `mode` parameter to `Image` feature | Fix https://github.com/huggingface/datasets/issues/6675 | closed | https://github.com/huggingface/datasets/pull/6735 | 2024-03-15T17:21:12 | 2024-03-18T15:47:48 | 2024-03-18T15:41:33 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
2,187,646,694 | 6,734 | Tokenization slows towards end of dataset | ### Describe the bug
Mapped tokenization slows down substantially towards end of dataset.
train set started off very slow, caught up to 20k then tapered off til the end.
what's particularly strange is that the tokenization crashed a few times before due to errors with invalid tokens somewhere or corrupted down... | open | https://github.com/huggingface/datasets/issues/6734 | 2024-03-15T03:27:36 | 2025-02-20T17:40:54 | null | {
"login": "ethansmith2000",
"id": 98723285,
"type": "User"
} | [] | false | [] |
2,186,811,724 | 6,733 | EmptyDatasetError when loading dataset downloaded with HuggingFace cli | ### Describe the bug
I am using a cluster that does not have access to the internet when given a job. I tried downloading the dataset using the huggingface-cli command and then loading it with load_dataset but I get an error:
```raise EmptyDatasetError(f"The directory at {base_path} doesn't contain any data files... | open | https://github.com/huggingface/datasets/issues/6733 | 2024-03-14T16:41:27 | 2024-03-15T18:09:02 | null | {
"login": "StwayneXG",
"id": 77196999,
"type": "User"
} | [] | false | [] |
2,182,844,673 | 6,731 | Unexpected behavior when using load_dataset with streaming=True in a for loop | ### Describe the bug
### My Code
```
from datasets import load_dataset
res=[]
for i in [0,1]:
di=load_dataset(
"json",
data_files='path_to.json',
split='train',
streaming=True,
).map(lambda x: {"source": i})
res.append(di)
for e in res[... | closed | https://github.com/huggingface/datasets/issues/6731 | 2024-03-12T23:26:43 | 2024-04-16T00:00:00 | 2024-04-16T00:00:00 | {
"login": "uApiv",
"id": 42908296,
"type": "User"
} | [] | false | [] |
2,181,881,499 | 6,730 | Deprecate Pandas builder | The Pandas packaged builder is undocumented and relies on `pickle` to read the data, making it **unsafe**. Moreover, I haven't seen a single instance of this builder being used (not even using the GH/Hub search), so we should deprecate it. | closed | https://github.com/huggingface/datasets/pull/6730 | 2024-03-12T15:12:13 | 2024-03-12T17:42:33 | 2024-03-12T17:36:24 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
2,180,237,159 | 6,729 | Support zipfiles that span multiple disks? | See https://huggingface.co/datasets/PhilEO-community/PhilEO-downstream
The dataset viewer gives the following error:
```
Error code: ConfigNamesError
Exception: BadZipFile
Message: zipfiles that span multiple disks are not supported
Traceback: Traceback (most recent call last):
F... | closed | https://github.com/huggingface/datasets/issues/6729 | 2024-03-11T21:07:41 | 2024-06-26T05:08:59 | 2024-06-26T05:05:28 | {
"login": "severo",
"id": 1676121,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
},
{
"name": "question",
"color": "d876e3"
}
] | false | [] |
2,178,607,012 | 6,728 | Issue Downloading Certain Datasets After Setting Custom `HF_ENDPOINT` | ### Describe the bug
This bug is triggered under the following conditions:
- datasets repo ids without organization names trigger errors, such as `bookcorpus`, `gsm8k`, `wikipedia`, rather than in the form of `A/B`.
- If `HF_ENDPOINT` is set and the hostname is not in the form of `(hub-ci.)?huggingface.co`.
- T... | closed | https://github.com/huggingface/datasets/issues/6728 | 2024-03-11T09:06:38 | 2024-03-15T14:52:07 | 2024-03-15T14:52:07 | {
"login": "padeoe",
"id": 10057041,
"type": "User"
} | [] | false | [] |
2,177,826,110 | 6,727 | Using a registry instead of calling globals for fetching feature types | Hello,
When working with bio-data, each feature often has metadata associated with it (e.g. species, lineage, snp position, etc). To store this, I like to use the feature classes with the added `metadata` attribute. However, when saving or loading with custom features, you get an error since that class doesn't exist... | closed | https://github.com/huggingface/datasets/pull/6727 | 2024-03-10T17:47:51 | 2024-03-13T12:08:49 | 2024-03-13T10:46:02 | {
"login": "psmyth94",
"id": 11325244,
"type": "User"
} | [] | true | [] |
2,177,097,232 | 6,726 | Profiling for HF Filesystem shows there are easy performance gains to be made | ### Describe the bug
# Let's make it faster
First, an evidence...
Figure 1: CProfile for loading 3 files from cerebras/SlimPajama-627B train split, and 3 files from test split using streaming=True. X axis is 1106... | open | https://github.com/huggingface/datasets/issues/6726 | 2024-03-09T07:08:45 | 2024-03-09T07:11:08 | null | {
"login": "awgr",
"id": 159512661,
"type": "User"
} | [] | false | [] |
2,175,527,530 | 6,725 | Request for a comparison of huggingface datasets compared with other data format especially webdataset | ### Feature request
Request for a comparison of huggingface datasets compared with other data format especially webdataset
### Motivation
I see huggingface datasets uses Apache Arrow as its backend, it seems to be great, but I'm curious about how it is good compared with other dataset format, like webdataset, what's... | open | https://github.com/huggingface/datasets/issues/6725 | 2024-03-08T08:23:01 | 2024-03-08T08:23:01 | null | {
"login": "Luciennnnnnn",
"id": 20135317,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,174,398,227 | 6,724 | Dataset with loading script does not work in renamed repos | ### Describe the bug
My data repository was first called `BramVanroy/hplt-mono-v1-2` but I then renamed to use underscores instead of dashes. However, it seems that `datasets` retrieves the old repo name when it checks whether the repo contains data loading scripts in this line.
https://github.com/huggingface/dat... | open | https://github.com/huggingface/datasets/issues/6724 | 2024-03-07T17:38:38 | 2024-03-07T20:06:25 | null | {
"login": "BramVanroy",
"id": 2779410,
"type": "User"
} | [] | false | [] |
2,174,344,456 | 6,723 | get_dataset_default_config_name docstring | fix https://github.com/huggingface/datasets/pull/6722 | closed | https://github.com/huggingface/datasets/pull/6723 | 2024-03-07T17:09:29 | 2024-03-07T17:27:29 | 2024-03-07T17:21:20 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,174,332,127 | 6,722 | Add details in docstring | see https://github.com/huggingface/datasets-server/pull/2554#discussion_r1516516867 | closed | https://github.com/huggingface/datasets/pull/6722 | 2024-03-07T17:02:07 | 2024-03-07T17:21:10 | 2024-03-07T17:21:08 | {
"login": "severo",
"id": 1676121,
"type": "User"
} | [] | true | [] |
2,173,931,714 | 6,721 | Hi,do you know how to load the dataset from local file now? | Hi, if I want to load the dataset from local file, then how to specify the configuration name?
_Originally posted by @WHU-gentle in https://github.com/huggingface/datasets/issues/2976#issuecomment-1333455222_
| open | https://github.com/huggingface/datasets/issues/6721 | 2024-03-07T13:58:40 | 2024-03-31T08:09:25 | null | {
"login": "Gera001",
"id": 50232044,
"type": "User"
} | [] | false | [] |
2,173,603,459 | 6,720 | TypeError: 'str' object is not callable | ### Describe the bug
I am trying to get the HPLT datasets on the hub. Downloading/re-uploading would be too time- and resource consuming so I wrote [a dataset loader script](https://huggingface.co/datasets/BramVanroy/hplt_mono_v1_2/blob/main/hplt_mono_v1_2.py). I think I am very close but for some reason I always get ... | closed | https://github.com/huggingface/datasets/issues/6720 | 2024-03-07T11:07:09 | 2024-03-08T07:34:53 | 2024-03-07T15:13:58 | {
"login": "BramVanroy",
"id": 2779410,
"type": "User"
} | [] | false | [] |
2,169,585,727 | 6,719 | Is there any way to solve hanging of IterableDataset using split by node + filtering during inference | ### Describe the bug
I am using an iterable dataset in a multi-node setup, trying to do training/inference while filtering the data on the fly. I usually do not use `split_dataset_by_node` but it is very slow using the IterableDatasetShard in `accelerate` and `transformers`. When I filter after applying `split_dataset... | open | https://github.com/huggingface/datasets/issues/6719 | 2024-03-05T15:55:13 | 2024-03-05T15:55:13 | null | {
"login": "ssharpe42",
"id": 8136905,
"type": "User"
} | [] | false | [] |
2,169,468,488 | 6,718 | Fix concurrent script loading with force_redownload | I added `lock_importable_file` in `get_dataset_builder_class` and `extend_dataset_builder_for_streaming` to fix the issue, and I also added a test
cc @clefourrier | closed | https://github.com/huggingface/datasets/pull/6718 | 2024-03-05T15:04:20 | 2024-03-07T14:05:53 | 2024-03-07T13:58:04 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,168,726,432 | 6,717 | `remove_columns` method used with a streaming enable dataset mode produces a LibsndfileError on multichannel audio | ### Describe the bug
When loading a HF dataset in streaming mode and removing some columns, it is impossible to load a sample if the audio contains more than one channel. I have the impression that the time axis and channels are swapped or concatenated.
### Steps to reproduce the bug
Minimal error code:
```python
... | open | https://github.com/huggingface/datasets/issues/6717 | 2024-03-05T09:33:26 | 2024-08-14T17:54:20 | null | {
"login": "jhauret",
"id": 53187038,
"type": "User"
} | [] | false | [] |
2,168,706,558 | 6,716 | Non-deterministic `Dataset.builder_name` value | ### Describe the bug
I'm not sure if this is a bug, but `print(ds.builder_name)` in the following code sometimes prints out `rotten_tomatoes` instead of `parquet`:
```python
import datasets
for _ in range(100):
ds = datasets.load_dataset("rotten_tomatoes", split="train")
print(ds.builder_name) # pr... | closed | https://github.com/huggingface/datasets/issues/6716 | 2024-03-05T09:23:21 | 2024-03-19T07:58:14 | 2024-03-19T07:58:14 | {
"login": "harupy",
"id": 17039389,
"type": "User"
} | [] | false | [] |
2,167,747,095 | 6,715 | Fix sliced ConcatenationTable pickling with mixed schemas vertically | A sliced + pickled ConcatenationTable could end up with a different schema than the original schema, if the slice only contains blocks with only a subset of the columns.
This can lead to issues when saving datasets from a concatenation of datasets with mixed schemas
Reported in https://discuss.huggingface.co/t/da... | closed | https://github.com/huggingface/datasets/pull/6715 | 2024-03-04T21:02:07 | 2024-03-05T11:23:05 | 2024-03-05T11:17:04 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,167,569,080 | 6,714 | Expand no-code dataset info with datasets-server info | E.g., to have info about a dataset's number of examples for more informative TQDM bars. | closed | https://github.com/huggingface/datasets/pull/6714 | 2024-03-04T19:18:10 | 2024-03-04T20:28:30 | 2024-03-04T20:22:15 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
2,166,797,560 | 6,713 | Bump huggingface-hub lower version to 0.21.2 | This should fix the version compatibility issue when using `huggingface_hub` < 0.21.2 and latest fsspec (>=2023.12.0).
See my comment: https://github.com/huggingface/datasets/pull/6687#issuecomment-1976493336
>> EDIT: the fix has been released in `huggingface_hub` 0.21.2 - I removed my commits that were using `hugg... | closed | https://github.com/huggingface/datasets/pull/6713 | 2024-03-04T13:00:52 | 2024-03-04T18:14:03 | 2024-03-04T18:06:05 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
2,166,588,373 | 6,712 | fix CastError pickling | reported in https://discuss.huggingface.co/t/datasetdict-save-to-disk-with-num-proc-1-seems-to-hang-with-error/75595 | closed | https://github.com/huggingface/datasets/pull/6712 | 2024-03-04T11:14:18 | 2024-03-04T20:23:47 | 2024-03-04T20:17:17 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,165,507,817 | 6,711 | 3x Faster Text Preprocessing | I was preparing some datasets for AI training and noticed that `datasets` by HuggingFace uses the conventional `open` mechanism to read the file and split it into chunks. I thought it can be significantly accelerated, and [started with a benchmark](https://gist.github.com/ashvardanian/55c2052e9f78b05b8d614aa90cb12347):... | open | https://github.com/huggingface/datasets/pull/6711 | 2024-03-03T19:03:04 | 2024-06-26T06:28:14 | null | {
"login": "ashvardanian",
"id": 1983160,
"type": "User"
} | [] | true | [] |
2,164,781,564 | 6,710 | Persist IterableDataset epoch in workers | Use shared memory for the IterableDataset epoch.
This way calling `ds.set_epoch()` in the main process will update the epoch in the DataLoader workers as well.
This is useful especially because the epoch is used to compute the `effective_seed` used for shuffling.
I used torch's shared memory in case users want t... | closed | https://github.com/huggingface/datasets/pull/6710 | 2024-03-02T12:08:50 | 2024-07-01T17:51:25 | 2024-07-01T17:45:30 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,164,169,913 | 6,709 | set dev version | null | closed | https://github.com/huggingface/datasets/pull/6709 | 2024-03-01T21:01:14 | 2024-03-01T21:07:35 | 2024-03-01T21:01:23 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,164,158,579 | 6,708 | Release: 2.18.0 | null | closed | https://github.com/huggingface/datasets/pull/6708 | 2024-03-01T20:52:17 | 2024-03-01T21:03:01 | 2024-03-01T20:56:50 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,163,799,868 | 6,707 | Silence ruff deprecation messages | null | closed | https://github.com/huggingface/datasets/pull/6707 | 2024-03-01T16:52:29 | 2024-03-01T17:32:14 | 2024-03-01T17:25:46 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
2,163,783,123 | 6,706 | Update ruff | null | closed | https://github.com/huggingface/datasets/pull/6706 | 2024-03-01T16:44:58 | 2024-03-01T17:02:13 | 2024-03-01T16:52:17 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,163,768,640 | 6,705 | Fix data_files when passing data_dir | This code should not return empty data files
```python
from datasets import load_dataset_builder
revision = "3d406e70bc21c3ca92a9a229b4c6fc3ed88279fd"
b = load_dataset_builder("bigcode/the-stack-v2-dedup", data_dir="data/Dockerfile", revision=revision)
print(b.config.data_files)
```
Previously it would ret... | closed | https://github.com/huggingface/datasets/pull/6705 | 2024-03-01T16:38:53 | 2024-03-01T18:59:06 | 2024-03-01T18:52:49 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,163,752,391 | 6,704 | Improve default patterns resolution | Separate the default patterns that match directories from the ones matching files and ensure directories are checked first (reverts the change from https://github.com/huggingface/datasets/pull/6244, which merged these patterns). Also, ensure that the glob patterns do not overlap to avoid duplicates in the result.
A... | closed | https://github.com/huggingface/datasets/pull/6704 | 2024-03-01T16:31:25 | 2024-04-23T09:43:09 | 2024-03-15T15:22:03 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
2,163,250,590 | 6,703 | Unable to load dataset that was saved with `save_to_disk` | ### Describe the bug
I get the following error message: You are trying to load a dataset that was saved using `save_to_disk`. Please use `load_from_disk` instead.
### Steps to reproduce the bug
1. Save a dataset with `save_to_disk`
2. Try to load it with `load_datasets`
### Expected behavior
I am ab... | closed | https://github.com/huggingface/datasets/issues/6703 | 2024-03-01T11:59:56 | 2024-03-04T13:46:20 | 2024-03-04T13:46:20 | {
"login": "casper-hansen",
"id": 27340033,
"type": "User"
} | [] | false | [] |
2,161,938,484 | 6,702 | Push samples to dataset on hub without having the dataset locally | ### Feature request
Say I have the following code:
```
from datasets import Dataset
import pandas as pd
new_data = {
"column_1": ["value1", "value2"],
"column_2": ["value3", "value4"],
}
df_new = pd.DataFrame(new_data)
dataset_new = Dataset.from_pandas(df_new)
# add these samples to a remote datase... | closed | https://github.com/huggingface/datasets/issues/6702 | 2024-02-29T19:17:12 | 2024-03-08T21:08:38 | 2024-03-08T21:08:38 | {
"login": "jbdel",
"id": 17854096,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,161,448,017 | 6,701 | Base parquet batch_size on parquet row group size | This allows to stream datasets like [Major-TOM/Core-S2L2A](https://huggingface.co/datasets/Major-TOM/Core-S2L2A) which have row groups with few rows (one row is ~10MB). Previously the cold start would take a lot of time and OOM because it would download many row groups before yielding the first example.
I tried on O... | closed | https://github.com/huggingface/datasets/pull/6701 | 2024-02-29T14:53:01 | 2024-02-29T15:15:18 | 2024-02-29T15:08:55 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,158,871,038 | 6,700 | remove_columns is not in-place but the doc shows it is in-place | ### Describe the bug
The doc of `datasets` v2.17.0/v2.17.1 shows that `remove_columns` is in-place. [link](https://huggingface.co/docs/datasets/v2.17.1/en/package_reference/main_classes#datasets.DatasetDict.remove_columns)
In the text classification example of transformers v4.38.1, the columns are not removed.
h... | closed | https://github.com/huggingface/datasets/issues/6700 | 2024-02-28T12:36:22 | 2024-04-02T17:15:28 | 2024-04-02T17:15:28 | {
"login": "shelfofclub",
"id": 32047804,
"type": "User"
} | [] | false | [] |
2,158,152,341 | 6,699 | `Dataset` unexpected changed dict data and may cause error | ### Describe the bug
Will unexpected get keys with `None` value in the parsed json dict.
### Steps to reproduce the bug
```jsonl test.jsonl
{"id": 0, "indexs": {"-1": [0, 10]}}
{"id": 1, "indexs": {"-1": [0, 10]}}
```
```python
dataset = Dataset.from_json('.test.jsonl')
print(dataset[0])
```
Result:
```... | open | https://github.com/huggingface/datasets/issues/6699 | 2024-02-28T05:30:10 | 2024-02-28T19:14:36 | null | {
"login": "scruel",
"id": 16933298,
"type": "User"
} | [] | false | [] |
2,157,752,392 | 6,698 | Faster `xlistdir` | Pass `detail=False` to the `fsspec` `listdir` to avoid unnecessarily fetching expensive metadata about the paths. | closed | https://github.com/huggingface/datasets/pull/6698 | 2024-02-27T22:55:08 | 2024-02-27T23:44:49 | 2024-02-27T23:38:14 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
2,157,322,224 | 6,697 | Unable to Load Dataset in Kaggle | ### Describe the bug
Having installed the latest versions of transformers==4.38.1 and datasets==2.17.1 Unable to load the dataset in a kaggle notebook.
Get this Error:
```
---------------------------------------------------------------------------
ValueError Traceback (most recen... | closed | https://github.com/huggingface/datasets/issues/6697 | 2024-02-27T18:19:34 | 2024-02-29T17:32:42 | 2024-02-29T17:32:41 | {
"login": "vrunm",
"id": 97465624,
"type": "User"
} | [] | false | [] |
2,154,161,357 | 6,696 | Make JSON builder support an array of strings | Support JSON file with an array of strings.
Fix #6695. | closed | https://github.com/huggingface/datasets/pull/6696 | 2024-02-26T13:18:31 | 2024-02-28T06:45:23 | 2024-02-28T06:39:12 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
2,154,075,509 | 6,695 | Support JSON file with an array of strings | Support loading a dataset from a JSON file with an array of strings.
See: https://huggingface.co/datasets/CausalLM/Refined-Anime-Text/discussions/1 | closed | https://github.com/huggingface/datasets/issues/6695 | 2024-02-26T12:35:11 | 2024-03-08T14:16:25 | 2024-02-28T06:39:13 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,153,086,984 | 6,694 | __add__ for Dataset, IterableDataset | It's too cumbersome to write this command every time we perform a dataset merging operation. ```pythonfrom datasets import concatenate_datasets``` We have added a simple `__add__` magic method to each class using `concatenate_datasets.`
```python
from datasets import load_dataset
bookcorpus = load_dataset("bookc... | open | https://github.com/huggingface/datasets/pull/6694 | 2024-02-26T01:46:55 | 2024-02-29T16:52:58 | null | {
"login": "oh-gnues-iohc",
"id": 79557937,
"type": "User"
} | [] | true | [] |
2,152,887,712 | 6,693 | Update the print message for chunked_dataset in process.mdx | Update documentation to align with `Dataset.__repr__` change after #423 | closed | https://github.com/huggingface/datasets/pull/6693 | 2024-02-25T18:37:07 | 2024-02-25T19:57:12 | 2024-02-25T19:51:02 | {
"login": "gzbfgjf2",
"id": 142939562,
"type": "User"
} | [] | true | [] |
2,152,270,987 | 6,692 | Enhancement: Enable loading TSV files in load_dataset() | Fix #6691 | closed | https://github.com/huggingface/datasets/pull/6692 | 2024-02-24T11:38:59 | 2024-02-26T15:33:50 | 2024-02-26T07:14:03 | {
"login": "harsh1504660",
"id": 77767961,
"type": "User"
} | [] | true | [] |
2,152,134,041 | 6,691 | load_dataset() does not support tsv | ### Feature request
the load_dataset() for local functions support file types like csv, json etc but not of type tsv (tab separated values).
### Motivation
cant easily load files of type tsv, have to convert them to another type like csv then load
### Your contribution
Can try by raising a PR with a little help, c... | closed | https://github.com/huggingface/datasets/issues/6691 | 2024-02-24T05:56:04 | 2024-02-26T07:15:07 | 2024-02-26T07:09:35 | {
"login": "dipsivenkatesh",
"id": 26873178,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,150,800,065 | 6,690 | Add function to convert a script-dataset to Parquet | Add function to convert a script-dataset to Parquet and push it to the Hub, analogously to the Space: "Convert a Hugging Face dataset to Parquet" | closed | https://github.com/huggingface/datasets/issues/6690 | 2024-02-23T10:28:20 | 2024-04-12T15:27:05 | 2024-04-12T15:27:05 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,149,581,147 | 6,689 | .load_dataset() method defaults to zstandard | ### Describe the bug
Regardless of what method I use, datasets defaults to zstandard for unpacking my datasets.
This is poor behavior, because not only is zstandard not a dependency in the huggingface package (and therefore, your dataset loading will be interrupted while it asks you to install the package), but it ... | closed | https://github.com/huggingface/datasets/issues/6689 | 2024-02-22T17:39:27 | 2024-03-07T14:54:16 | 2024-03-07T14:54:15 | {
"login": "ElleLeonne",
"id": 87243032,
"type": "User"
} | [] | false | [] |
2,148,609,859 | 6,688 | Tensor type (e.g. from `return_tensors`) ignored in map | ### Describe the bug
I don't know if it is a bug or an expected behavior, but the tensor type seems to be ignored after applying map. For example, mapping over to tokenize text with a transformers' tokenizer always returns lists and it ignore the `return_tensors` argument.
If this is an expected behaviour (e.g., fo... | open | https://github.com/huggingface/datasets/issues/6688 | 2024-02-22T09:27:57 | 2024-02-22T15:56:21 | null | {
"login": "srossi93",
"id": 11166137,
"type": "User"
} | [] | false | [] |
2,148,554,178 | 6,687 | fsspec: support fsspec>=2023.12.0 glob changes | - adds support for the `fs.glob` changes introduced in `fsspec==2023.12.0` and unpins the current upper bound
Should close #6644
Should close #6645
The `test_data_files` glob/pattern tests pass for me in:
- `fsspec==2023.10.0` (the pinned max version in datasets `main`)
- `fsspec==2023.12.0` (#6644)
- `fsspec... | closed | https://github.com/huggingface/datasets/pull/6687 | 2024-02-22T08:59:32 | 2024-03-04T12:59:42 | 2024-02-29T15:12:17 | {
"login": "pmrowla",
"id": 651988,
"type": "User"
} | [] | true | [] |
2,147,795,103 | 6,686 | Question: Is there any way for uploading a large image dataset? | I am uploading an image dataset like this:
```
dataset = load_dataset(
"json",
data_files={"train": "data/custom_dataset/train.json", "validation": "data/custom_dataset/val.json"},
)
dataset = dataset.cast_column("images", Sequence(Image()))
dataset.push_to_hub("StanfordAIMI/custom_dataset", max_shard_si... | open | https://github.com/huggingface/datasets/issues/6686 | 2024-02-21T22:07:21 | 2024-05-02T03:44:59 | null | {
"login": "zhjohnchan",
"id": 37367987,
"type": "User"
} | [] | false | [] |
2,145,570,006 | 6,685 | Updated Quickstart Notebook link | Fixed Quickstart Notebook Link in the [Overview notebook](https://github.com/huggingface/datasets/blob/main/notebooks/Overview.ipynb) | closed | https://github.com/huggingface/datasets/pull/6685 | 2024-02-21T01:04:18 | 2024-03-12T21:31:04 | 2024-02-25T18:48:08 | {
"login": "Codeblockz",
"id": 55932554,
"type": "User"
} | [] | true | [] |
2,144,092,388 | 6,684 | Improve error message for gated datasets on load | Internal Slack discussion: https://huggingface.slack.com/archives/C02V51Q3800/p1708424971135029 | closed | https://github.com/huggingface/datasets/pull/6684 | 2024-02-20T10:51:27 | 2024-02-20T15:40:52 | 2024-02-20T15:33:56 | {
"login": "lewtun",
"id": 26859204,
"type": "User"
} | [] | true | [] |
2,142,751,955 | 6,683 | Fix imagefolder dataset url | null | closed | https://github.com/huggingface/datasets/pull/6683 | 2024-02-19T16:26:51 | 2024-02-19T17:24:25 | 2024-02-19T17:18:10 | {
"login": "mariosasko",
"id": 47462742,
"type": "User"
} | [] | true | [] |
2,142,000,800 | 6,682 | Update GitHub Actions to Node 20 | Update GitHub Actions to Node 20.
Fix #6679. | closed | https://github.com/huggingface/datasets/pull/6682 | 2024-02-19T10:10:50 | 2024-02-28T07:02:40 | 2024-02-28T06:56:34 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
2,141,985,239 | 6,681 | Update release instructions | Update release instructions. | closed | https://github.com/huggingface/datasets/pull/6681 | 2024-02-19T10:03:08 | 2024-02-28T07:23:49 | 2024-02-28T07:17:22 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "maintenance",
"color": "d4c5f9"
}
] | true | [] |
2,141,979,527 | 6,680 | Set dev version | null | closed | https://github.com/huggingface/datasets/pull/6680 | 2024-02-19T10:00:31 | 2024-02-19T10:06:43 | 2024-02-19T10:00:40 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
2,141,953,981 | 6,679 | Node.js 16 GitHub Actions are deprecated | `Node.js` 16 GitHub Actions are deprecated. See: https://github.blog/changelog/2023-09-22-github-actions-transitioning-from-node-16-to-node-20/
We should update them to Node 20.
See warnings in our CI, e.g.: https://github.com/huggingface/datasets/actions/runs/7957295009?pr=6678
> Node.js 16 actions are deprecat... | closed | https://github.com/huggingface/datasets/issues/6679 | 2024-02-19T09:47:37 | 2024-02-28T06:56:35 | 2024-02-28T06:56:35 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [
{
"name": "maintenance",
"color": "d4c5f9"
}
] | false | [] |
2,141,902,154 | 6,678 | Release: 2.17.1 | null | closed | https://github.com/huggingface/datasets/pull/6678 | 2024-02-19T09:24:29 | 2024-02-19T10:03:00 | 2024-02-19T09:56:52 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
2,141,244,167 | 6,677 | Pass through information about location of cache directory. | If cache directory is set, information is not passed through.
Pass download config in as an arg too. | closed | https://github.com/huggingface/datasets/pull/6677 | 2024-02-18T23:48:57 | 2024-02-28T18:57:39 | 2024-02-28T18:51:15 | {
"login": "stridge-cruxml",
"id": 94808782,
"type": "User"
} | [] | true | [] |
2,140,648,619 | 6,676 | Can't Read List of JSON Files Properly | ### Describe the bug
Trying to read a bunch of JSON files into Dataset class but default approach doesn't work. I don't get why it works when I read it one by one but not when I pass as a list :man_shrugging:
The code fails with
```
ArrowInvalid: JSON parse error: Invalid value. in row 0
UnicodeDecodeError... | open | https://github.com/huggingface/datasets/issues/6676 | 2024-02-17T22:58:15 | 2024-03-02T20:47:22 | null | {
"login": "lordsoffallen",
"id": 20232088,
"type": "User"
} | [] | false | [] |
2,139,640,381 | 6,675 | Allow image model (color conversion) to be specified as part of datasets Image() decode | ### Feature request
Typical torchvision / torch Datasets in image applications apply color conversion in the Dataset portion of the code as part of image decode, separately from the image transform stack. This is true for PIL.Image where convert is usually called in dataset, for native torchvision https://pytorch.or... | closed | https://github.com/huggingface/datasets/issues/6675 | 2024-02-16T23:43:20 | 2024-03-18T15:41:34 | 2024-03-18T15:41:34 | {
"login": "rwightman",
"id": 5702664,
"type": "User"
} | [
{
"name": "enhancement",
"color": "a2eeef"
}
] | false | [] |
2,139,595,576 | 6,674 | Depprcated Overview.ipynb Link to new Quickstart Notebook invalid | ### Describe the bug
For the dreprecated notebook found [here](https://github.com/huggingface/datasets/blob/main/notebooks/Overview.ipynb). The link to the new notebook is broken.
### Steps to reproduce the bug
Click the [Quickstart notebook](https://github.com/huggingface/notebooks/blob/main/datasets_doc/quicksta... | closed | https://github.com/huggingface/datasets/issues/6674 | 2024-02-16T22:51:35 | 2024-02-25T18:48:09 | 2024-02-25T18:48:09 | {
"login": "Codeblockz",
"id": 55932554,
"type": "User"
} | [] | false | [] |
2,139,522,827 | 6,673 | IterableDataset `set_epoch` is ignored when DataLoader `persistent_workers=True` | ### Describe the bug
When persistent workers are enabled, the epoch that's set via the IterableDataset instance held by the training process is ignored by the workers as they are disconnected across processes.
PyTorch samplers for non-iterable datasets have a mechanism to sync this, datasets.IterableDataset does ... | closed | https://github.com/huggingface/datasets/issues/6673 | 2024-02-16T21:38:12 | 2024-07-01T17:45:31 | 2024-07-01T17:45:31 | {
"login": "rwightman",
"id": 5702664,
"type": "User"
} | [
{
"name": "bug",
"color": "d73a4a"
},
{
"name": "streaming",
"color": "fef2c0"
}
] | false | [] |
2,138,732,288 | 6,672 | Remove deprecated verbose parameter from CSV builder | Remove deprecated `verbose` parameter from CSV builder.
Note that the `verbose` parameter is deprecated since pandas 2.2.0. See:
- https://github.com/pandas-dev/pandas/pull/56556
- https://github.com/pandas-dev/pandas/pull/57450
Fix #6671. | closed | https://github.com/huggingface/datasets/pull/6672 | 2024-02-16T14:26:21 | 2024-02-19T09:26:34 | 2024-02-19T09:20:22 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | true | [] |
2,138,727,870 | 6,671 | CSV builder raises deprecation warning on verbose parameter | CSV builder raises a deprecation warning on `verbose` parameter:
```
FutureWarning: The 'verbose' keyword in pd.read_csv is deprecated and will be removed in a future version.
```
See:
- https://github.com/pandas-dev/pandas/pull/56556
- https://github.com/pandas-dev/pandas/pull/57450 | closed | https://github.com/huggingface/datasets/issues/6671 | 2024-02-16T14:23:46 | 2024-02-19T09:20:23 | 2024-02-19T09:20:23 | {
"login": "albertvillanova",
"id": 8515462,
"type": "User"
} | [] | false | [] |
2,138,372,958 | 6,670 | ValueError | ### Describe the bug
ValueError Traceback (most recent call last)
[<ipython-input-11-9b99bc80ec23>](https://localhost:8080/#) in <cell line: 11>()
9 import numpy as np
10 import matplotlib.pyplot as plt
---> 11 from datasets import DatasetDict, Dataset
12 from transf... | closed | https://github.com/huggingface/datasets/issues/6670 | 2024-02-16T11:05:17 | 2024-02-17T04:26:34 | 2024-02-16T14:43:53 | {
"login": "prashanth19bolukonda",
"id": 112316000,
"type": "User"
} | [] | false | [] |
2,138,322,662 | 6,669 | attribute error when writing trainer.train() | ### Describe the bug
AttributeError Traceback (most recent call last)
Cell In[39], line 2
1 # Start the training process
----> 2 trainer.train()
File /opt/conda/lib/python3.10/site-packages/transformers/trainer.py:1539, in Trainer.train(self, resume_from_checkpoint, trial, ignore... | closed | https://github.com/huggingface/datasets/issues/6669 | 2024-02-16T10:40:49 | 2024-03-01T10:58:00 | 2024-02-29T17:25:17 | {
"login": "prashanth19bolukonda",
"id": 112316000,
"type": "User"
} | [] | false | [] |
2,137,859,935 | 6,668 | Chapter 6 - Issue Loading `cnn_dailymail` dataset | ### Describe the bug
So I am getting this bug when I try to run cell 4 of the Chapter 6 notebook code:
`dataset = load_dataset("ccdv/cnn_dailymail", version="3.0.0")`
Error Message:
```
---------------------------------------------------------------------------
ValueError Tracebac... | open | https://github.com/huggingface/datasets/issues/6668 | 2024-02-16T04:40:56 | 2024-02-16T04:40:56 | null | {
"login": "hariravichandran",
"id": 34660389,
"type": "User"
} | [] | false | [] |
2,137,769,552 | 6,667 | Default config for squad is incorrect | ### Describe the bug
If you download Squad, it will download the plain_text version, but the config still specifies "default", so if you set the offline mode the cache will try to look it up according to the config_id which is "default" and this will say;
ValueError: Couldn't find cache for squad for config 'default'... | open | https://github.com/huggingface/datasets/issues/6667 | 2024-02-16T02:36:55 | 2024-02-23T09:10:00 | null | {
"login": "kiddyboots216",
"id": 22651617,
"type": "User"
} | [] | false | [] |
2,136,136,425 | 6,665 | Allow SplitDict setitem to replace existing SplitInfo | Fix this code provided by @clefourrier
```python
import datasets
import os
token = os.getenv("TOKEN")
results = datasets.load_dataset("gaia-benchmark/results_public", "2023", token=token, download_mode=datasets.DownloadMode.FORCE_REDOWNLOAD)
results["test"] = datasets.Dataset.from_list([row for row in resu... | closed | https://github.com/huggingface/datasets/pull/6665 | 2024-02-15T10:17:08 | 2024-03-01T16:02:46 | 2024-03-01T15:56:38 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
2,135,483,978 | 6,664 | Revert the changes in `arrow_writer.py` from #6636 | #6636 broke `write_examples_on_file` and `write_batch` from the class `ArrowWriter`. I'm undoing these changes. See #6663.
Note the current implementation doesn't keep the order of the columns and the schema, thus setting a wrong schema for each column. | closed | https://github.com/huggingface/datasets/pull/6664 | 2024-02-15T01:47:33 | 2024-02-16T14:02:39 | 2024-02-16T02:31:11 | {
"login": "bryant1410",
"id": 3905501,
"type": "User"
} | [] | true | [] |
2,135,480,811 | 6,663 | `write_examples_on_file` and `write_batch` are broken in `ArrowWriter` | ### Describe the bug
`write_examples_on_file` and `write_batch` are broken in `ArrowWriter` since #6636. The order between the columns and the schema is not preserved anymore. So these functions don't work anymore unless the order happens to align well.
### Steps to reproduce the bug
Try to do `write_batch` with any... | closed | https://github.com/huggingface/datasets/issues/6663 | 2024-02-15T01:43:27 | 2024-02-16T09:25:00 | 2024-02-16T09:25:00 | {
"login": "bryant1410",
"id": 3905501,
"type": "User"
} | [] | false | [] |
2,132,425,812 | 6,662 | fix: show correct package name to install biopython | When you try to download a dataset that uses [biopython](https://github.com/biopython/biopython), like `load_dataset("InstaDeepAI/multi_species_genomes")`, you get the error:
```
>>> from datasets import load_dataset
>>> dataset = load_dataset("InstaDeepAI/multi_species_genomes")
/home/j.vangoey/.pyenv/versions/m... | closed | https://github.com/huggingface/datasets/pull/6662 | 2024-02-13T14:15:04 | 2024-03-01T17:49:48 | 2024-03-01T17:43:39 | {
"login": "BioGeek",
"id": 59344,
"type": "User"
} | [] | true | [] |
2,132,296,267 | 6,661 | Import error on Google Colab | ### Describe the bug
Cannot be imported on Google Colab, the import throws the following error:
ValueError: pyarrow.lib.IpcWriteOptions size changed, may indicate binary incompatibility. Expected 88 from C header, got 72 from PyObject
### Steps to reproduce the bug
1. `! pip install -U datasets`
2. `import dataset... | closed | https://github.com/huggingface/datasets/issues/6661 | 2024-02-13T13:12:40 | 2024-02-25T16:37:54 | 2024-02-14T08:04:47 | {
"login": "kithogue",
"id": 16103566,
"type": "User"
} | [] | false | [] |
2,131,977,011 | 6,660 | Automatic Conversion for uint16/uint32 to Compatible PyTorch Dtypes | This PR addresses an issue encountered when utilizing uint16 or uint32 datatypes with datasets, followed by attempting to convert these datasets into PyTorch-compatible formats. Currently, doing so results in a TypeError due to incompatible datatype conversion, as illustrated by the following example:
```python
from ... | closed | https://github.com/huggingface/datasets/pull/6660 | 2024-02-13T10:24:33 | 2024-03-01T19:01:57 | 2024-03-01T18:52:37 | {
"login": "mohalisad",
"id": 23399590,
"type": "User"
} | [] | true | [] |
2,129,229,810 | 6,659 | Change default compression argument for JsonDatasetWriter | Change default compression type from `None` to "infer", to align with pandas' defaults.
Documentation asks the user to supply `to_json_kwargs` with arguments suitable for pandas' `to_json` method. At the same time, while pandas' by default uses ["infer"](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.... | closed | https://github.com/huggingface/datasets/pull/6659 | 2024-02-11T23:49:07 | 2024-03-01T17:51:50 | 2024-03-01T17:44:55 | {
"login": "Rexhaif",
"id": 5154447,
"type": "User"
} | [] | true | [] |
2,129,158,371 | 6,658 | [Resumable IterableDataset] Add IterableDataset state_dict | A simple implementation of a mechanism to resume an IterableDataset.
It works by restarting at the latest shard and skip samples. It provides fast resuming (though not instantaneous).
Example:
```python
from datasets import Dataset, concatenate_datasets
ds = Dataset.from_dict({"a": range(5)}).to_iterable_d... | closed | https://github.com/huggingface/datasets/pull/6658 | 2024-02-11T20:35:52 | 2024-10-01T10:19:38 | 2024-06-03T19:15:39 | {
"login": "lhoestq",
"id": 42851186,
"type": "User"
} | [] | true | [] |
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