number int64 2 7.91k | title stringlengths 1 290 | body stringlengths 0 228k | state stringclasses 2
values | created_at timestamp[s]date 2020-04-14 18:18:51 2025-12-16 10:45:02 | updated_at timestamp[s]date 2020-04-29 09:23:05 2025-12-16 19:34:46 | closed_at timestamp[s]date 2020-04-29 09:23:05 2025-12-16 14:20:48 β | url stringlengths 48 51 | author stringlengths 3 26 β | comments_count int64 0 70 | labels listlengths 0 4 |
|---|---|---|---|---|---|---|---|---|---|---|
5,898 | Loading The flores data set for specific language | ### Describe the bug
I am trying to load the Flores data set
the code which is given is
```
from datasets import load_dataset
dataset = load_dataset("facebook/flores")
```
This gives the error of config name
""ValueError: Config name is missing"
Now if I add some config it gives me the some error
... | CLOSED | 2023-05-25T17:08:55 | 2023-05-25T17:21:38 | 2023-05-25T17:21:37 | https://github.com/huggingface/datasets/issues/5898 | 106AbdulBasit | 1 | [] |
5,896 | HuggingFace does not cache downloaded files aggressively/early enough | ### Describe the bug
I wrote the following script:
```
import datasets
dataset = datasets.load.load_dataset("wikipedia", "20220301.en", split="train[:10000]")
```
I ran it and spent 90 minutes downloading a 20GB file. Then I saw:
```
Downloading: 100%|ββββββββββββββββββββββββββββββββββββββββββββββββββββ... | CLOSED | 2023-05-25T15:14:36 | 2024-03-15T15:36:07 | 2024-03-15T15:36:07 | https://github.com/huggingface/datasets/issues/5896 | jack-jjm | 2 | [] |
5,895 | The dir name and split strings are confused when loading ArmelR/stack-exchange-instruction dataset | ### Describe the bug
When I load the ArmelR/stack-exchange-instruction dataset, I encounter a bug that may be raised by confusing the dir name string and the split string about the dataset.
When I use the script "datasets.load_dataset('ArmelR/stack-exchange-instruction', data_dir="data/finetune", split="train", ... | CLOSED | 2023-05-25T09:39:06 | 2023-05-29T02:32:12 | 2023-05-29T02:32:12 | https://github.com/huggingface/datasets/issues/5895 | DongHande | 2 | [] |
5,892 | User access requests with manual review do not notify the dataset owner | ### Describe the bug
When a user access requests are enabled, and new requests are set to Manual Review, the dataset owner should be notified of the pending requests. However, instead, currently nothing happens, and so the dataset request can go unanswered for quite some time until the owner happens to check that part... | CLOSED | 2023-05-23T17:27:46 | 2023-07-21T13:55:37 | 2023-07-21T13:55:36 | https://github.com/huggingface/datasets/issues/5892 | leondz | 2 | [] |
5,889 | Token Alignment for input and output data over train and test batch/dataset. | `data`
> DatasetDict({
train: Dataset({
features: ['input', 'output'],
num_rows: 4500
})
test: Dataset({
features: ['input', 'output'],
num_rows: 500
})
})
**# input (in-correct sentence)**
`data['train'][0]['input']`
**>>** 'We are meet sunday 10am12pmET i... | OPEN | 2023-05-23T15:58:55 | 2023-05-23T15:58:55 | null | https://github.com/huggingface/datasets/issues/5889 | akesh1235 | 0 | [] |
5,887 | HuggingsFace dataset example give error | ### Describe the bug


### Steps to reproduce the bug
Use link as reference document written https://c... | CLOSED | 2023-05-23T14:09:05 | 2023-07-25T14:01:01 | 2023-07-25T14:01:00 | https://github.com/huggingface/datasets/issues/5887 | donhuvy | 4 | [] |
5,886 | Use work-stealing algorithm when parallel computing | ### Feature request
when i used Dataset.map api to process data concurrently, i found that
it gets slower and slower as it gets closer to completion. Then i read the source code of arrow_dataset.py and found that it shard the dataset and use multiprocessing pool to execute each shard.It may cause the slowest task ... | OPEN | 2023-05-23T03:08:44 | 2023-05-24T15:30:09 | null | https://github.com/huggingface/datasets/issues/5886 | 1014661165 | 1 | [
"enhancement"
] |
5,888 | A way to upload and visualize .mp4 files (millions of them) as part of a dataset | **Is your feature request related to a problem? Please describe.**
I recently chose to use huggingface hub as the home for a large multi modal dataset I've been building. https://huggingface.co/datasets/Antreas/TALI
It combines images, text, audio and video. Now, I could very easily upload a dataset made via datase... | OPEN | 2023-05-22T18:05:26 | 2023-06-23T03:37:16 | null | https://github.com/huggingface/datasets/issues/5888 | AntreasAntoniou | 9 | [] |
5,884 | `Dataset.to_tf_dataset` fails when strings cannot be encoded as `np.bytes_` | ### Describe the bug
When loading any dataset that contains a column with strings that are not ASCII-compatible, looping over those records raises the following exception e.g. for `Γ©` character `UnicodeEncodeError: 'ascii' codec can't encode character '\xe9' in position 0: ordinal not in range(128)`.
### Steps to rep... | CLOSED | 2023-05-22T12:03:06 | 2023-06-09T16:04:56 | 2023-06-09T16:04:55 | https://github.com/huggingface/datasets/issues/5884 | alvarobartt | 2 | [] |
5,881 | Split dataset by node: index error when sharding iterable dataset | ### Describe the bug
Context: we're splitting an iterable dataset by node and then passing it to a torch data loader with multiple workers
When we iterate over it for 5 steps, we don't get an error
When we instead iterate over it for 8 steps, we get an `IndexError` when fetching the data if we have too many wo... | OPEN | 2023-05-22T10:36:13 | 2025-01-31T16:36:30 | null | https://github.com/huggingface/datasets/issues/5881 | sanchit-gandhi | 5 | [] |
5,880 | load_dataset from s3 file system through streaming can't not iterate data | ### Describe the bug
I have a JSON file in my s3 file system(minio), I can use load_dataset to get the file link, but I can't iterate it
<img width="816" alt="image" src="https://github.com/huggingface/datasets/assets/59083384/cc0778d3-36f3-45b5-ac68-4e7c664c2ed0">
<img width="1144" alt="image" src="https://github.c... | OPEN | 2023-05-22T07:40:27 | 2023-05-26T12:52:08 | null | https://github.com/huggingface/datasets/issues/5880 | janineguo | 4 | [] |
5,878 | Prefetching for IterableDataset | ### Feature request
Add support for prefetching the next n batches through iterabledataset to reduce batch loading bottleneck in training loop.
### Motivation
The primary motivation behind this is to use hardware accelerators alongside a streaming dataset. This is required when you are in a low ram or low disk... | OPEN | 2023-05-20T15:25:40 | 2025-09-01T20:57:32 | null | https://github.com/huggingface/datasets/issues/5878 | vyeevani | 9 | [
"enhancement"
] |
5,877 | Request for text deduplication feature | ### Feature request
It would be great if there would be support for high performance, highly scalable text deduplication algorithms as part of the datasets library.
### Motivation
Motivated by this blog post https://huggingface.co/blog/dedup and this library https://github.com/google-research/deduplicate-text-datase... | OPEN | 2023-05-20T01:56:00 | 2024-01-25T14:40:09 | null | https://github.com/huggingface/datasets/issues/5877 | SupreethRao99 | 4 | [
"enhancement"
] |
5,876 | Incompatibility with DataLab | ### Describe the bug
Hello,
I am currently working on a project where both [DataLab](https://github.com/ExpressAI/DataLab) and [datasets](https://github.com/huggingface/datasets) are subdependencies.
I noticed that I cannot import both libraries, as they both register FileSystems in `fsspec`, expecting the FileSyste... | CLOSED | 2023-05-20T01:39:11 | 2023-05-25T06:42:34 | 2023-05-25T06:42:34 | https://github.com/huggingface/datasets/issues/5876 | helpmefindaname | 2 | [
"good first issue"
] |
5,875 | Why split slicing doesn't behave like list slicing ? | ### Describe the bug
If I want to get the first 10 samples of my dataset, I can do :
```
ds = datasets.load_dataset('mnist', split='train[:10]')
```
But if I exceed the number of samples in the dataset, an exception is raised :
```
ds = datasets.load_dataset('mnist', split='train[:999999999]')
```
> V... | CLOSED | 2023-05-19T07:21:10 | 2024-01-31T15:54:18 | 2024-01-31T15:54:18 | https://github.com/huggingface/datasets/issues/5875 | astariul | 1 | [
"duplicate"
] |
5,874 | Using as_dataset on a "parquet" builder | ### Describe the bug
I used a custom builder to ``download_and_prepare`` a dataset. The first (very minor) issue is that the doc seems to suggest ``download_and_prepare`` will return the dataset, while it does not ([builder.py](https://github.com/huggingface/datasets/blob/main/src/datasets/builder.py#L718-L738)).
```... | CLOSED | 2023-05-18T14:09:03 | 2023-05-31T13:23:55 | 2023-05-31T13:23:55 | https://github.com/huggingface/datasets/issues/5874 | rems75 | 1 | [] |
5,873 | Allow setting the environment variable for the lock file path | ### Feature request
Add an environment variable to replace the default lock file path.
### Motivation
Usually, dataset path is a read-only path while the lock file needs to be modified each time. It would be convenient if the path can be reset individually.
### Your contribution
```/src/datasets/utils/fi... | OPEN | 2023-05-17T07:10:02 | 2023-05-17T07:11:05 | null | https://github.com/huggingface/datasets/issues/5873 | xin3he | 0 | [
"enhancement"
] |
5,871 | data configuration hash suffix depends on uncanonicalized data_dir | ### Describe the bug
I am working with the `recipe_nlg` dataset, which requires manual download. Once it's downloaded, I've noticed that the hash in the custom data configuration is different if I add a trailing `/` to my `data_dir`. It took me a while to notice that the hashes were different, and to understand that... | CLOSED | 2023-05-16T18:56:04 | 2023-06-02T15:52:05 | 2023-06-02T15:52:05 | https://github.com/huggingface/datasets/issues/5871 | kylrth | 3 | [
"good first issue"
] |
5,870 | Behaviour difference between datasets.map and IterableDatasets.map | ### Describe the bug
All the examples in all the docs mentioned throughout huggingface datasets correspond to datasets object, and not IterableDatasets object. At one point of time, they might have been in sync, but the code for datasets version >=2.9.0 is very different as compared to the docs.
I basically need to ... | OPEN | 2023-05-16T14:32:57 | 2023-05-16T14:36:05 | null | https://github.com/huggingface/datasets/issues/5870 | llStringll | 1 | [] |
5,869 | Image Encoding Issue when submitting a Parquet Dataset | ### Describe the bug
Hello,
I'd like to report an issue related to pushing a dataset represented as a Parquet file to a dataset repository using Dask. Here are the details:
We attempted to load an example dataset in Parquet format from the Hugging Face (HF) filesystem using Dask with the following code snippet... | CLOSED | 2023-05-16T09:42:58 | 2023-06-16T12:48:38 | 2023-06-16T09:30:48 | https://github.com/huggingface/datasets/issues/5869 | PhilippeMoussalli | 16 | [
"bug"
] |
5,868 | Is it possible to change a cached file and 're-cache' it instead of re-generating? | ### Feature request
Hi,
I have a huge cached file using `map`(over 500GB), and I want to change an attribution of each element, is there possible to do it using some method instead of re-generating, because `map` takes over 24 hours
### Motivation
For large datasets, I think it is very important because we always f... | CLOSED | 2023-05-16T03:45:42 | 2023-05-17T11:21:36 | 2023-05-17T11:21:36 | https://github.com/huggingface/datasets/issues/5868 | zyh3826 | 2 | [
"enhancement"
] |
5,866 | Issue with Sequence features | ### Describe the bug
Sequences features sometimes causes errors when the specified length is not -1
### Steps to reproduce the bug
```python
import numpy as np
from datasets import Features, ClassLabel, Sequence, Value, Dataset
feats = Features(**{'target': ClassLabel(names=[0, 1]),'x': Sequence(feature=Va... | CLOSED | 2023-05-15T17:13:29 | 2023-05-26T11:57:17 | 2023-05-26T11:57:17 | https://github.com/huggingface/datasets/issues/5866 | alialamiidrissi | 1 | [] |
5,864 | Slow iteration over Torch tensors | ### Describe the bug
I have a problem related to this [issue](https://github.com/huggingface/datasets/issues/5841): I get a way slower iteration when using a Torch dataloader if I use vanilla Numpy tensors or if I first apply a ToTensor transform to the input. In particular, it takes 5 seconds to iterate over the vani... | OPEN | 2023-05-15T16:43:58 | 2024-10-08T10:21:48 | null | https://github.com/huggingface/datasets/issues/5864 | crisostomi | 2 | [] |
5,862 | IndexError: list index out of range with data hosted on Zenodo | The dataset viewer sometimes raises an `IndexError`:
```
IndexError: list index out of range
```
See:
- huggingface/datasets-server#1151
- https://huggingface.co/datasets/reddit/discussions/5
- huggingface/datasets-server#1118
- https://huggingface.co/datasets/krr-oxford/OntoLAMA/discussions/1
- https://hu... | OPEN | 2023-05-15T13:47:19 | 2023-09-25T12:09:51 | null | https://github.com/huggingface/datasets/issues/5862 | albertvillanova | 1 | [
"bug"
] |
5,858 | Throw an error when dataset improperly indexed | ### Describe the bug
Pandas-style subset indexing on dataset does not throw an error, when maybe it should. Instead returns the first instance of the dataset regardless of index condition.
### Steps to reproduce the bug
Steps to reproduce the behavior:
1. `squad = datasets.load_dataset("squad_v2", split="validati... | CLOSED | 2023-05-15T05:15:53 | 2023-05-25T16:23:19 | 2023-05-25T16:23:19 | https://github.com/huggingface/datasets/issues/5858 | sarahwie | 1 | [] |
5,857 | Adding chemistry dataset/models in huggingface | ### Feature request
Huggingface is really amazing platform for open science.
In addition to computer vision, video and NLP, would it be of interest to add chemistry/materials science dataset/models in Huggingface? Or, if its already done, can you provide some pointers.
We have been working on a comprehensive ben... | CLOSED | 2023-05-15T05:09:49 | 2023-07-21T13:45:40 | 2023-07-21T13:45:40 | https://github.com/huggingface/datasets/issues/5857 | knc6 | 1 | [
"enhancement"
] |
5,856 | Error loading natural_questions | ### Describe the bug
When try to load natural_questions through datasets == 2.12.0 with python == 3.8.9:
```python
import datasets
datasets.load_dataset('natural_questions',beam_runner='DirectRunner')
```
It failed with following info:
`pyarrow.lib.ArrowNotImplementedError: Nested data conversions not impl... | CLOSED | 2023-05-15T02:46:04 | 2023-06-05T09:11:19 | 2023-06-05T09:11:18 | https://github.com/huggingface/datasets/issues/5856 | Crownor | 2 | [] |
5,855 | `to_tf_dataset` consumes too much memory | ### Describe the bug
Hi, I'm using `to_tf_dataset` to convert a _large_ dataset to `tf.data.Dataset`. I observed that the data loading *before* training took a lot of time and memory, even with `batch_size=1`.
After some digging, i believe the reason lies in the shuffle behavior. The [source code](https://github.... | CLOSED | 2023-05-14T01:22:29 | 2023-06-08T16:32:52 | 2023-06-08T16:32:52 | https://github.com/huggingface/datasets/issues/5855 | massquantity | 6 | [] |
5,854 | Can not load audiofolder dataset on kaggle | ### Describe the bug
It's crash log:
FileNotFoundError: Couldn't find a dataset script at /kaggle/working/audiofolder/audiofolder.py or any data file in the same directory. Couldn't find 'audiofolder' on the Hugging Face Hub either: FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/huggingfac... | CLOSED | 2023-05-14T00:50:47 | 2023-08-16T13:35:36 | 2023-07-21T13:53:45 | https://github.com/huggingface/datasets/issues/5854 | ILG2021 | 3 | [] |
5,849 | CSV datasets should only read the CSV data files in the repo | 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.
... | CLOSED | 2023-05-12T12:29:53 | 2023-06-22T14:16:27 | 2023-06-22T14:16:27 | https://github.com/huggingface/datasets/issues/5849 | albertvillanova | 0 | [
"bug"
] |
5,847 | Streaming IterableDataset not working with translation pipeline | ### 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:
```
... | OPEN | 2023-05-11T21:52:38 | 2023-05-16T15:59:55 | null | https://github.com/huggingface/datasets/issues/5847 | jlquinn | 8 | [] |
5,851 | Error message not clear in interleaving datasets | ### 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... | CLOSED | 2023-05-11T20:52:13 | 2023-05-23T10:32:59 | 2023-05-23T10:32:59 | https://github.com/huggingface/datasets/issues/5851 | surya-narayanan | 0 | [] |
5,846 | load_dataset('bigcode/the-stack-dedup', streaming=True) very slow! | ### 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... | CLOSED | 2023-05-11T17:58:57 | 2024-04-08T12:53:17 | 2024-04-05T12:28:58 | https://github.com/huggingface/datasets/issues/5846 | tbenthompson | 7 | [] |
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 ... | ### 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),... | OPEN | 2023-05-11T14:15:01 | 2023-05-11T14:15:01 | null | https://github.com/huggingface/datasets/issues/5844 | chen-coding | 0 | [] |
5,841 | Abusurdly slow on iteration | ### 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... | CLOSED | 2023-05-11T08:04:09 | 2023-05-15T15:38:13 | 2023-05-15T15:38:13 | https://github.com/huggingface/datasets/issues/5841 | fecet | 4 | [] |
5,840 | load model error. | ### 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 ... | CLOSED | 2023-05-11T07:12:38 | 2023-05-12T13:44:07 | 2023-05-12T13:44:06 | https://github.com/huggingface/datasets/issues/5840 | LanShanPi | 1 | [] |
5,842 | Remove columns in interable dataset | ### 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. | CLOSED | 2023-05-11T03:48:46 | 2023-06-21T16:36:42 | 2023-06-21T16:36:41 | https://github.com/huggingface/datasets/issues/5842 | surya-narayanan | 3 | [] |
5,843 | Can't add iterable datasets to a Dataset Dict. | ### 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... | CLOSED | 2023-05-11T02:09:29 | 2023-05-25T04:51:59 | 2023-05-25T04:51:59 | https://github.com/huggingface/datasets/issues/5843 | surya-narayanan | 2 | [] |
5,839 | Make models/functions optimized with `torch.compile` hashable | 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... | CLOSED | 2023-05-10T20:02:08 | 2023-11-28T16:29:33 | 2023-11-28T16:29:33 | https://github.com/huggingface/datasets/issues/5839 | mariosasko | 0 | [
"enhancement"
] |
5,838 | Streaming support for `load_from_disk` | ### 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 ... | CLOSED | 2023-05-10T06:25:22 | 2024-10-28T14:19:44 | 2023-05-12T09:37:45 | https://github.com/huggingface/datasets/issues/5838 | Nilabhra | 12 | [
"enhancement"
] |
5,837 | Use DeepSpeed load myself " .csv " dataset. | ### 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... | OPEN | 2023-05-10T02:39:28 | 2023-05-15T03:51:36 | null | https://github.com/huggingface/datasets/issues/5837 | LanShanPi | 3 | [] |
5,834 | Is uint8 supported? | ### 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 ... | CLOSED | 2023-05-09T17:31:13 | 2023-05-13T05:04:21 | 2023-05-13T05:04:21 | https://github.com/huggingface/datasets/issues/5834 | ryokan0123 | 5 | [] |
5,833 | Unable to push dataset - `create_pr` problem | ### 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... | CLOSED | 2023-05-09T15:32:55 | 2023-10-24T18:22:29 | 2023-10-24T18:22:29 | https://github.com/huggingface/datasets/issues/5833 | agombert | 14 | [] |
5,832 | 404 Client Error: Not Found for url: https://huggingface.co/api/models/bert-large-cased | ### 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... | CLOSED | 2023-05-09T14:14:59 | 2023-05-09T14:25:59 | 2023-05-09T14:25:59 | https://github.com/huggingface/datasets/issues/5832 | varungupta31 | 1 | [] |
5,831 | [Bug]504 Server Error when loading dataset which was already cached | ### 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... | OPEN | 2023-05-09T10:31:07 | 2023-05-10T01:48:20 | null | https://github.com/huggingface/datasets/issues/5831 | SingL3 | 6 | [] |
5,829 | (mach-o file, but is an incompatible architecture (have 'arm64', need 'x86_64')) | ### 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_... | CLOSED | 2023-05-08T10:07:14 | 2023-06-30T11:39:14 | 2023-05-09T00:46:42 | https://github.com/huggingface/datasets/issues/5829 | elcolie | 2 | [] |
5,828 | Stream data concatenation issue | ### 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=... | CLOSED | 2023-05-07T21:02:54 | 2023-06-29T20:07:56 | 2023-05-10T05:05:47 | https://github.com/huggingface/datasets/issues/5828 | krishnapriya-18 | 3 | [] |
5,827 | load json dataset interrupt when dtype cast problem occured | ### Describe the bug
i have a json like this:
[
{"id": 1, "name": 1},
{"id": 2, "name": "Nan"},
{"id": 3, "name": 3},
....
]
οΌwhich 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:
... | OPEN | 2023-05-07T04:52:09 | 2023-05-10T12:32:28 | null | https://github.com/huggingface/datasets/issues/5827 | 1014661165 | 1 | [] |
5,825 | FileNotFound even though exists | ### 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... | CLOSED | 2023-05-05T09:49:55 | 2023-08-16T10:02:01 | 2023-08-16T10:02:01 | https://github.com/huggingface/datasets/issues/5825 | Muennighoff | 4 | [] |
5,823 | [2.12.0] DatasetDict.save_to_disk not saving to S3 | ### 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... | CLOSED | 2023-05-05T05:22:59 | 2024-05-30T16:11:31 | 2023-05-05T15:01:17 | https://github.com/huggingface/datasets/issues/5823 | thejamesmarq | 3 | [] |
5,822 | Audio Dataset with_format torch problem | ### 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... | CLOSED | 2023-05-04T20:07:51 | 2023-05-11T20:45:53 | 2023-05-11T20:45:53 | https://github.com/huggingface/datasets/issues/5822 | paulbauriegel | 2 | [] |
5,820 | Incomplete docstring for `BuilderConfig` | 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 | CLOSED | 2023-05-04T12:14:34 | 2023-05-05T12:31:56 | 2023-05-05T12:31:56 | https://github.com/huggingface/datasets/issues/5820 | Laurent2916 | 1 | [
"good first issue"
] |
5,819 | Cannot pickle error in Dataset.from_generator() | ### 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... | CLOSED | 2023-05-04T08:39:09 | 2023-05-05T19:20:59 | 2023-05-05T19:20:58 | https://github.com/huggingface/datasets/issues/5819 | xinghaow99 | 2 | [] |
5,818 | Ability to update a dataset | ### 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... | OPEN | 2023-05-04T01:08:13 | 2023-05-04T20:43:39 | null | https://github.com/huggingface/datasets/issues/5818 | davidgilbertson | 3 | [
"enhancement"
] |
5,817 | Setting `num_proc` errors when `.map` returns additional items. | ### 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... | CLOSED | 2023-05-03T21:46:53 | 2023-05-04T21:14:21 | 2023-05-04T20:22:25 | https://github.com/huggingface/datasets/issues/5817 | davidgilbertson | 3 | [] |
5,815 | Easy way to create a Kaggle dataset from a Huggingface dataset? | 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:
:
for i in range(length):
yield dict(a=bias+i)
seed = 42
... | CLOSED | 2023-05-02T05:26:17 | 2023-05-04T14:24:51 | 2023-05-04T14:24:51 | https://github.com/huggingface/datasets/issues/5812 | offchan42 | 0 | [
"bug",
"streaming"
] |
5,811 | load_dataset: TypeError: 'NoneType' object is not callable, on local dataset filename changes | ### 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... | OPEN | 2023-04-30T13:27:17 | 2025-02-27T07:32:30 | null | https://github.com/huggingface/datasets/issues/5811 | durapensa | 2 | [] |
5,809 | wiki_dpr details for Open Domain Question Answering tasks | 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. | CLOSED | 2023-04-30T06:12:04 | 2023-07-21T14:11:00 | 2023-07-21T14:11:00 | https://github.com/huggingface/datasets/issues/5809 | yulgok22 | 1 | [] |
5,806 | Return the name of the currently loaded file in the load_dataset function. | ### 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... | OPEN | 2023-04-28T13:50:15 | 2025-11-21T22:34:35 | null | https://github.com/huggingface/datasets/issues/5806 | s-JoL | 16 | [
"enhancement",
"good first issue"
] |
5,805 | Improve `Create a dataset` tutorial | 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... | OPEN | 2023-04-28T13:26:22 | 2024-07-26T21:16:13 | null | https://github.com/huggingface/datasets/issues/5805 | polinaeterna | 4 | [
"documentation"
] |
5,799 | Files downloaded to cache do not respect umask | 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 | CLOSED | 2023-04-27T08:06:05 | 2023-04-27T09:30:17 | 2023-04-27T09:30:17 | https://github.com/huggingface/datasets/issues/5799 | albertvillanova | 0 | [
"bug"
] |
5,798 | Support parallelized downloading and processing in load_dataset with Spark | ### 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 ... | OPEN | 2023-04-27T00:16:11 | 2023-05-25T14:11:41 | null | https://github.com/huggingface/datasets/issues/5798 | es94129 | 17 | [
"enhancement"
] |
5,797 | load_dataset is case sentitive? | ### 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... | OPEN | 2023-04-26T18:19:04 | 2023-04-27T11:56:58 | null | https://github.com/huggingface/datasets/issues/5797 | haonan-li | 2 | [] |
5,794 | CI ZeroDivisionError | 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:/... | CLOSED | 2023-04-26T14:55:23 | 2024-05-17T09:12:11 | 2024-05-17T09:12:11 | https://github.com/huggingface/datasets/issues/5794 | albertvillanova | 2 | [
"bug"
] |
5,793 | IterableDataset.with_format("torch") not working | ### 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... | CLOSED | 2023-04-26T10:50:23 | 2023-06-13T15:57:06 | 2023-06-13T15:57:06 | https://github.com/huggingface/datasets/issues/5793 | jiangwangyi | 1 | [
"bug",
"enhancement",
"streaming"
] |
5,791 | TIFF/TIF support | ### 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... | CLOSED | 2023-04-25T16:14:18 | 2024-01-15T16:40:33 | 2024-01-15T16:40:16 | https://github.com/huggingface/datasets/issues/5791 | sebasmos | 5 | [
"enhancement"
] |
5,789 | Support streaming datasets that use jsonlines | 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 | OPEN | 2023-04-25T07:40:02 | 2023-04-25T07:40:03 | null | https://github.com/huggingface/datasets/issues/5789 | albertvillanova | 0 | [
"enhancement"
] |
5,786 | Multiprocessing in a `filter` or `map` function with a Pytorch model | ### 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... | CLOSED | 2023-04-24T10:38:07 | 2023-05-30T09:56:30 | 2023-04-24T10:43:58 | https://github.com/huggingface/datasets/issues/5786 | HugoLaurencon | 5 | [] |
5,785 | Unsupported data files raise TypeError: 'NoneType' object is not iterable | 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. | CLOSED | 2023-04-24T10:38:03 | 2023-04-27T12:57:30 | 2023-04-27T12:57:30 | https://github.com/huggingface/datasets/issues/5785 | albertvillanova | 0 | [
"bug"
] |
5,783 | Offset overflow while doing regex on a text column | ### 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... | OPEN | 2023-04-22T19:12:03 | 2023-09-22T06:44:07 | null | https://github.com/huggingface/datasets/issues/5783 | nishanthcgit | 7 | [] |
5,782 | Support for various audio-loading backends instead of always relying on SoundFile | ### 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... | CLOSED | 2023-04-22T17:09:25 | 2023-05-10T20:23:04 | 2023-05-10T20:23:04 | https://github.com/huggingface/datasets/issues/5782 | BoringDonut | 3 | [
"enhancement"
] |
5,781 | Error using `load_datasets` | ### 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 ... | CLOSED | 2023-04-22T15:10:44 | 2023-05-02T23:41:25 | 2023-05-02T23:41:25 | https://github.com/huggingface/datasets/issues/5781 | gjyoungjr | 2 | [] |
5,780 | TypeError: 'NoneType' object does not support item assignment | commandοΌ
```
def load_datasets(formats, data_dir=datadir, data_files=datafileοΌοΌ
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(βcsvβ, args.datadir, "train.csv", s... | CLOSED | 2023-04-22T06:22:43 | 2023-04-23T08:49:18 | 2023-04-23T08:49:18 | https://github.com/huggingface/datasets/issues/5780 | zyb8543d | 0 | [] |
5,778 | SchrΓΆdinger's dataset_dict | ### 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... | CLOSED | 2023-04-21T08:38:12 | 2023-07-24T15:15:14 | 2023-07-24T15:15:14 | https://github.com/huggingface/datasets/issues/5778 | liujuncn | 1 | [] |
5,777 | datasets.load_dataset("code_search_net", "python") : NotADirectoryError: [Errno 20] Not a directory | ### 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... | CLOSED | 2023-04-21T02:08:07 | 2023-06-05T05:49:52 | 2023-05-11T11:51:56 | https://github.com/huggingface/datasets/issues/5777 | null | 6 | [] |
5,776 | Use Pandas' `read_json` in the JSON builder | 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... | OPEN | 2023-04-20T17:15:49 | 2023-04-20T17:15:49 | null | https://github.com/huggingface/datasets/issues/5776 | mariosasko | 0 | [
"enhancement"
] |
5,775 | ArrowDataset.save_to_disk lost some logic of remote | ### 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 ... | CLOSED | 2023-04-20T16:58:01 | 2023-04-26T12:11:36 | 2023-04-26T12:11:17 | https://github.com/huggingface/datasets/issues/5775 | Zoupers | 1 | [] |
5,773 | train_dataset does not implement __len__ | 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.` | OPEN | 2023-04-20T04:37:05 | 2023-07-19T20:33:13 | null | https://github.com/huggingface/datasets/issues/5773 | zyb8543d | 9 | [] |
5,771 | Support cloud storage for loading datasets | ### 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
... | CLOSED | 2023-04-19T12:43:53 | 2023-05-07T17:47:41 | 2023-05-07T17:47:41 | https://github.com/huggingface/datasets/issues/5771 | eli-osherovich | 1 | [
"duplicate",
"enhancement"
] |
5,769 | Tiktoken tokenizers are not pickable | ### 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... | CLOSED | 2023-04-18T16:07:40 | 2023-05-04T18:55:57 | 2023-05-04T18:55:57 | https://github.com/huggingface/datasets/issues/5769 | markovalexander | 1 | [] |
5,768 | load_dataset("squad") doesn't work in 2.7.1 and 2.10.1 | ### 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... | CLOSED | 2023-04-18T07:10:56 | 2023-04-20T10:27:23 | 2023-04-20T10:27:22 | https://github.com/huggingface/datasets/issues/5768 | yaseen157 | 8 | [] |
5,767 | How to use Distill-BERT with different datasets? | ### 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... | CLOSED | 2023-04-18T06:25:12 | 2023-04-20T16:52:05 | 2023-04-20T16:52:05 | https://github.com/huggingface/datasets/issues/5767 | sauravtii | 1 | [] |
5,766 | Support custom feature types | ### Feature request
I think it would be nice to allow registering custom feature types with the π€ 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... | OPEN | 2023-04-17T15:46:41 | 2024-03-10T11:11:22 | null | https://github.com/huggingface/datasets/issues/5766 | jmontalt | 4 | [
"enhancement"
] |
5,765 | ValueError: You should supply an encoding or a list of encodings to this method that includes input_ids, but you provided ['text'] | ### 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... | OPEN | 2023-04-17T15:00:50 | 2023-04-25T13:50:45 | null | https://github.com/huggingface/datasets/issues/5765 | sauravtii | 4 | [] |
5,764 | ConnectionError: Couldn't reach https://www.dropbox.com/s/zts98j4vkqtsns6/aclImdb_v2.tar?dl=1 | ### 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... | CLOSED | 2023-04-17T09:08:18 | 2023-04-18T07:18:20 | 2023-04-18T07:18:20 | https://github.com/huggingface/datasets/issues/5764 | sauravtii | 7 | [] |
5,762 | Not able to load the pile | ### 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... | CLOSED | 2023-04-17T03:09:10 | 2023-04-17T09:37:27 | 2023-04-17T09:37:27 | https://github.com/huggingface/datasets/issues/5762 | surya-narayanan | 1 | [] |
5,761 | One or several metadata.jsonl were found, but not in the same directory or in a parent directory | ### 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... | OPEN | 2023-04-16T16:21:55 | 2023-04-19T11:53:24 | null | https://github.com/huggingface/datasets/issues/5761 | blghtr | 3 | [] |
5,760 | Multi-image loading in Imagefolder dataset | ### 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': ...}
...
`... | OPEN | 2023-04-16T16:01:05 | 2024-12-01T11:16:09 | null | https://github.com/huggingface/datasets/issues/5760 | vvvm23 | 10 | [
"enhancement"
] |
5,759 | Can I load in list of list of dict format? | ### 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... | OPEN | 2023-04-16T13:50:14 | 2023-04-19T12:04:36 | null | https://github.com/huggingface/datasets/issues/5759 | LZY-the-boys | 1 | [
"enhancement"
] |
5,757 | Tilde (~) is not supported | ### 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 ... | CLOSED | 2023-04-16T11:48:10 | 2023-04-20T15:30:51 | 2023-04-20T15:30:51 | https://github.com/huggingface/datasets/issues/5757 | eli-osherovich | 0 | [] |
5,756 | Calling shuffle on a IterableDataset with streaming=True, gives "ValueError: cannot reshape array" | ### 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... | CLOSED | 2023-04-16T04:59:47 | 2023-04-18T03:40:56 | 2023-04-18T03:40:56 | https://github.com/huggingface/datasets/issues/5756 | rohfle | 2 | [] |
5,755 | ImportError: cannot import name 'DeprecatedEnum' from 'datasets.utils.deprecation_utils' | ### 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... | CLOSED | 2023-04-14T23:28:54 | 2023-04-14T23:36:19 | 2023-04-14T23:36:19 | https://github.com/huggingface/datasets/issues/5755 | fivejjs | 1 | [] |
5,753 | [IterableDatasets] Add column followed by interleave datasets gives bogus outputs | ### 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... | CLOSED | 2023-04-14T17:32:31 | 2025-07-04T05:22:53 | 2023-04-14T17:36:37 | https://github.com/huggingface/datasets/issues/5753 | sanchit-gandhi | 2 | [] |
5,752 | Streaming dataset looses `.feature` method after `.add_column` | ### 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... | OPEN | 2023-04-14T16:39:50 | 2024-01-18T10:15:20 | null | https://github.com/huggingface/datasets/issues/5752 | sanchit-gandhi | 2 | [
"bug"
] |
5,750 | Fail to create datasets from a generator when using Google Big Query | ### 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... | CLOSED | 2023-04-14T13:50:59 | 2023-04-17T12:20:43 | 2023-04-17T12:20:43 | https://github.com/huggingface/datasets/issues/5750 | ivanprado | 4 | [] |
5,749 | AttributeError: 'Version' object has no attribute 'match' | ### 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... | CLOSED | 2023-04-14T10:48:06 | 2023-06-30T11:31:17 | 2023-04-18T12:57:08 | https://github.com/huggingface/datasets/issues/5749 | gulnaz-zh | 8 | [] |
5,744 | [BUG] With Pandas 2.0.0, `load_dataset` raises `TypeError: read_csv() got an unexpected keyword argument 'mangle_dupe_cols'` | 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_... | CLOSED | 2023-04-13T20:21:28 | 2024-04-09T16:13:59 | 2023-07-06T17:01:59 | https://github.com/huggingface/datasets/issues/5744 | keyboardAnt | 6 | [] |
5,743 | dataclass.py in virtual environment is overriding the stdlib module "dataclasses" | ### 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 | CLOSED | 2023-04-13T17:28:33 | 2023-04-17T12:23:18 | 2023-04-17T12:23:18 | https://github.com/huggingface/datasets/issues/5743 | syedabdullahhassan | 1 | [] |
5,739 | weird result during dataset split when data path starts with `/data` | ### 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
... | OPEN | 2023-04-12T04:51:35 | 2023-04-21T14:20:59 | null | https://github.com/huggingface/datasets/issues/5739 | airlsyn | 4 | [] |
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