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"Hi! We made some improvements to `push_to_hub` to make it more robust a couple of weeks ago but haven't published a release in the meantime, so it would help if you could install `datasets` from `main` (`pip install https://github.com/huggingface/datasets`) and let us know if this improved version of `push_to_hub`... | `push_to_hub` is not robust to hub closing connection | {
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} | I_kwDODunzps52RxOJ | null | 2023-11-08T20:44:53Z | https://api.github.com/repos/huggingface/datasets/issues/6392/comments | ### Describe the bug
Like to #6172, `push_to_hub` will crash if Hub resets the connection and raise the following error:
```
Pushing dataset shards to the dataset hub: 32%|███▏ | 54/171 [06:38<14:23, 7.38s/it]
Traceback (most recent call last):
File "/admin/home-piraka9011/.virtualenvs/w2v2/lib/python3.8/... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I added an error message if the first examples don't appear to be in webdataset format\r\n```\r\n\"The TAR archives of the dataset should be in Webdataset format, \"\r\n\"but the files in the archive don't share the same prefix or th... | Webdataset dataset builder | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 2023-11-08T17:31:59Z | https://api.github.com/repos/huggingface/datasets/issues/6391/comments | Allow `load_dataset` to support the Webdataset format.
It allows users to download/stream data from local files or from the Hugging Face Hub.
Moreover it will enable the Dataset Viewer for Webdataset datasets on HF.
## Implementation details
- I added a new Webdataset builder
- dataset with TAR files are n... | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | handle future deprecation argument | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 2023-11-08T14:21:25Z | https://api.github.com/repos/huggingface/datasets/issues/6390/comments | getting this error:
```
/root/miniconda3/envs/py3.10/lib/python3.10/site-packages/datasets/table.py:1387: FutureWarning: promote has been superseded by mode='default'.
return cls._concat_blocks(pa_tables_to_concat_vertically, axis=0)
```
Since datasets supports arrow greater than 8.0.0, we need to handle both ... | {
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"Hi! Can you make the above reproducer self-contained by adding code that generates the data?",
"I managed a workaround eventually but I don't know what it was (I made a lot of changes to seq2seq). I'll try to include generating code in the future. (If I close, I don't know if you see it. Feel free to close; I'l... | Index 339 out of range for dataset of size 339 <-- save_to_file() | {
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} | I_kwDODunzps52OoGQ | null | 2023-11-08T12:52:09Z | https://api.github.com/repos/huggingface/datasets/issues/6389/comments | ### Describe the bug
When saving out some Audio() data.
The data is audio recordings with associated 'sentences'.
(They use the audio 'bytes' approach because they're clips within audio files).
Code is below the traceback (I can't upload the voice audio/text (it's not even me)).
```
Traceback (most recent call ... | {
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} | I_kwDODunzps52Fbzd | null | 2023-11-07T11:27:36Z | https://api.github.com/repos/huggingface/datasets/issues/6388/comments | ### Feature request
I am newer to huggingface, after i look up `datasets` docs, I can't find how to create the dataset contains 3d medical image (ends with '.mhd', '.dcm', '.nii')
### Motivation
help us to upload 3d medical dataset to huggingface!
### Your contribution
I'll submit a PR if I find a way to... | {
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"Feel free to use `dataset.save_to_disk(...)`, then scp the directory containing the saved dataset and reload it on your other machine using `dataset = load_from_disk(...)`"
] | How to load existing downloaded dataset ? | {
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} | I_kwDODunzps52B9IU | null | 2023-11-06T22:51:44Z | https://api.github.com/repos/huggingface/datasets/issues/6387/comments | Hi @mariosasko @lhoestq @katielink
Thanks for your contribution and hard work.
### Feature request
First, I download a dataset as normal by:
```
from datasets import load_dataset
dataset = load_dataset('username/data_name', cache_dir='data')
```
The dataset format in `data` directory will be:
```
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"Ah I think the `line-profiler` log is off-by-one and it is in fact the `extract_batch` method that's taking forever. Will investigate further.",
"I tracked it down to a quirk of my setup. Apologies."
] | Formatting overhead | {
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} | I_kwDODunzps52Aop- | null | 2023-11-06T19:06:38Z | https://api.github.com/repos/huggingface/datasets/issues/6386/comments | ### Describe the bug
Hi! I very recently noticed that my training time is dominated by batch formatting. Using Lightning's profilers, I located the bottleneck within `datasets.formatting.formatting` and then narrowed it down with `line-profiler`. It turns out that almost all of the overhead is due to creating new inst... | {
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"The `answers.text` field in the JSON dataset needs to be a list of strings, not a string.\r\n\r\nSo, here is the fixed code:\r\n```python\r\nfrom huggingface_hub import notebook_login\r\nfrom datasets import load_dataset\r\n\r\n\r\n\r\nnotebook_login(\"mymailadresse\", \"mypassword\")\r\nsquad = load_dataset(\"squ... | Get an error when i try to concatenate the squad dataset with my own dataset | {
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} | I_kwDODunzps51-dky | null | 2023-11-06T14:29:22Z | https://api.github.com/repos/huggingface/datasets/issues/6385/comments | ### Describe the bug
Hello,
I'm new here and I need to concatenate the squad dataset with my own dataset i created. I find the following error when i try to do it: Traceback (most recent call last):
Cell In[9], line 1
concatenated_dataset = concatenate_datasets([train_dataset, dataset1])
File ~\ana... | {
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"Solved"
] | Load the local dataset folder from other place | {
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} | I_kwDODunzps519u4N | null | 2023-11-06T13:07:04Z | https://api.github.com/repos/huggingface/datasets/issues/6384/comments | This is from https://github.com/huggingface/diffusers/issues/5573
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"Have you solved this problem?"
] | imagenet-1k downloads over and over | {
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} | I_kwDODunzps516MZN | null | 2023-11-06T02:58:58Z | https://api.github.com/repos/huggingface/datasets/issues/6383/comments | ### Describe the bug
What could be causing this?
```
$ python3
Python 3.8.13 (default, Mar 28 2022, 11:38:47)
[GCC 7.5.0] :: Anaconda, Inc. on linux
Type "help", "copyright", "credits" or "license" for more information.
>>> from datasets import load_dataset
>>> load_dataset("imagenet-1k")
Downloading builder ... | {
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"Hey @SauravMaheshkar ! Just responded to your email.\r\n\r\n_For transparency, copying part of my response here:_\r\nI agree, it would be really great to have this and other BenchMD datasets easily accessible on the hub.\r\n\r\nI think the main limiting factor is that the ChexPert dataset is currently hosted on th... | Add CheXpert dataset for vision | {
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} | I_kwDODunzps513L3f | null | 2023-11-04T15:36:11Z | https://api.github.com/repos/huggingface/datasets/issues/6382/comments | ### Feature request
### Name
**CheXpert: A Large Chest Radiograph Dataset with Uncertainty Labels and Expert Comparison**
### Paper
https://arxiv.org/abs/1901.07031
### Data
https://stanfordaimi.azurewebsites.net/datasets/8cbd9ed4-2eb9-4565-affc-111cf4f7ebe2
### Motivation
CheXpert is one of the fund... | {
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"Hi! We do not host datasets in this repo. Instead, you should use `dataset.push_to_hub` to upload the dataset to the HF Hub.",
"@mariosasko could you provide me proper guide to push data on HF hub ",
"You can find this info here: https://huggingface.co/docs/datasets/upload_dataset. Also, check https://huggingf... | Add my dataset | {
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} | 2023-11-02T20:59:52Z | https://api.github.com/repos/huggingface/datasets/issues/6381/comments | ## medical data
**Description:**
This dataset, named "medical data," is a collection of text data from various sources, carefully curated and cleaned for use in natural language processing (NLP) tasks. It consists of a diverse range of text, including articles, books, and online content, covering topics from scienc... | {
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1,974,741,221 | https://api.github.com/repos/huggingface/datasets/issues/6380 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6380/events | [] | null | 2023-11-02T17:31:19Z | [] | https://github.com/huggingface/datasets/pull/6380 | NONE | null | false | null | [] | Fix for continuation behaviour on broken dataset archives due to starving download connections via HTTP-GET | {
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} | 2023-11-02T17:28:23Z | https://api.github.com/repos/huggingface/datasets/issues/6380/comments | This PR proposes a (slightly hacky) fix for an Issue that can occur when downloading large dataset parts over unstable connections.
The underlying issue is also being discussed in https://github.com/huggingface/datasets/issues/5594.
Issue Symptoms & Behaviour:
- Download of a large archive file during dataset down... | {
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Additionally, fix "unreachable" checks in `encode_np_array`. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
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Fix #6377 and fix #6374 (root cause).
This fix is analog to a previous one:
- #6175 | {
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- #6374
and revert:
- #6375 | {
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"Thanks for reporting! Can you also share the error message printed in step 5?",
"I did not store it at the time but I'll try to re-do a mwe next week to get it again",
"I haven't managed to reproduce this issue using a [notebook](https://colab.research.google.com/drive/1m6eduYun7pFTkigrCJAFgw0BghlbvXIL?usp=sha... | Caching problem when deleting a dataset | {
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} | I_kwDODunzps51p74s | null | 2023-11-02T10:15:58Z | https://api.github.com/repos/huggingface/datasets/issues/6376/comments | ### Describe the bug
Pushing a dataset with n + m features to a repo which was deleted, but contained n features, will fail.
### Steps to reproduce the bug
1. Create a dataset with n features per row
2. `dataset.push_to_hub(YOUR_PATH, SPLIT, token=TOKEN)`
3. Go on the hub, delete the repo at `YOUR_PATH`
4. Update... | {
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Hot fix #6374. | {
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```
FAILED tests/test_table.py::test_cast_sliced_fixed_size_array_to_features - TypeError: Couldn't cast array of type
fixed_size_list<item: int32>[3]
to
Sequence(feature=Value(dtype='int64', id=None), length=3, id=None)
``` | {
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"Indeed, setting `try_from_gcs` to `False` makes sense for `from_generator`.\r\n\r\nWe plan to deprecate and remove `try_from_hf_gcs` soon, as we can use Hub for file hosting now, but this is a good temporary fix.\r\n"
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} | I_kwDODunzps51lqeb | null | 2023-11-01T17:36:17Z | https://api.github.com/repos/huggingface/datasets/issues/6371/comments | ### Describe the bug
When using [`Dataset.from_generator`](https://github.com/huggingface/datasets/blob/c9c1166e1cf81d38534020f9c167b326585339e5/src/datasets/arrow_dataset.py#L1072) with `streaming=False`, the internal logic will call [`download_and_prepare`](https://github.com/huggingface/datasets/blob/main/src/datas... | {
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1,972,073,909 | https://api.github.com/repos/huggingface/datasets/issues/6370 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6370/events | [] | null | 2023-11-29T16:31:08Z | [] | https://github.com/huggingface/datasets/issues/6370 | NONE | completed | null | null | [
"I figured it out. I found that `Trainer` does not work with TensorDataset even though the document says it uses it. Instead, I ended up creating a dictionary and converting it to a dataset using `dataset.Dataset.from_dict()`.\r\n\r\nI will leave this post open for a while. If someone knows a better approach, pleas... | TensorDataset format does not work with Trainer from transformers | {
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} | I_kwDODunzps51i3W1 | null | 2023-11-01T10:09:54Z | https://api.github.com/repos/huggingface/datasets/issues/6370/comments | ### Describe the bug
The model was built to do fine tunning on BERT model for relation extraction.
trainer.train() returns an error message ```TypeError: vars() argument must have __dict__ attribute``` when it has `train_dataset` generated from `torch.utils.data.TensorDataset`
However, in the document, the req... | {
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1,971,794,108 | https://api.github.com/repos/huggingface/datasets/issues/6369 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6369/events | [] | null | 2023-11-30T16:04:46Z | [] | https://github.com/huggingface/datasets/issues/6369 | NONE | completed | null | null | [
"The inconsistency may be caused by the usage of \"update_fingerprint\" and setting \"trust_remote_code\" to \"True.\"\r\nWhen the tokenizer employs \"trust_remote_code,\" the behavior of the map function varies with each code execution. Even if the remote code of the tokenizer remains the same, the result of \"ash... | Multi process map did not load cache file correctly | {
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} | I_kwDODunzps51hzC8 | null | 2023-11-01T06:36:54Z | https://api.github.com/repos/huggingface/datasets/issues/6369/comments | ### Describe the bug
When I was training model on Multiple GPUs by DDP, the dataset is tokenized multiple times after main process.
![1698820501568](https://github.com/huggingface/datasets/assets/142857... | {
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1,971,193,692 | https://api.github.com/repos/huggingface/datasets/issues/6368 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6368/events | [] | null | 2023-11-02T14:42:28Z | [] | https://github.com/huggingface/datasets/pull/6368 | COLLABORATOR | null | false | null | [
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | Fix python formatting for complex types in `format_table` | {
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1,971,015,861 | https://api.github.com/repos/huggingface/datasets/issues/6367 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6367/events | [] | null | 2023-10-31T18:35:53Z | [] | https://github.com/huggingface/datasets/pull/6367 | COLLABORATOR | null | false | null | [
"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | Fix time measuring snippet in docs | {
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1,970,213,490 | https://api.github.com/repos/huggingface/datasets/issues/6366 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6366/events | [] | null | 2023-11-02T14:21:17Z | [] | https://github.com/huggingface/datasets/issues/6366 | NONE | completed | null | null | [
"Thanks for reporting! I've opened a PR with a fix."
] | with_format() function returns bytes instead of PIL images even when image column is not part of "columns" | {
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} | I_kwDODunzps51bxJy | null | 2023-10-31T11:10:48Z | https://api.github.com/repos/huggingface/datasets/issues/6366/comments | ### Describe the bug
When using the with_format() function on a dataset containing images, even if the image column is not part of the columns provided in the function, its type will be changed to bytes.
Here is a minimal reproduction of the bug:
https://colab.research.google.com/drive/1hyaOspgyhB41oiR1-tXE3k_gJCdJU... | {
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1,970,140,392 | https://api.github.com/repos/huggingface/datasets/issues/6365 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6365/events | [] | null | 2023-10-31T10:49:17Z | [] | https://github.com/huggingface/datasets/issues/6365 | NONE | not_planned | null | null | [
"Wrong repo."
] | Parquet size grows exponential for categorical data | {
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} | I_kwDODunzps51bfTo | null | 2023-10-31T10:29:02Z | https://api.github.com/repos/huggingface/datasets/issues/6365/comments | ### Describe the bug
It seems that when saving a data frame with a categorical column inside the size can grow exponentially.
This seems to happen because when we save the categorical data to parquet, we are saving the data + all the categories existing in the original data. This happens even when the categories ar... | {
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1,969,136,106 | https://api.github.com/repos/huggingface/datasets/issues/6364 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6364/events | [] | null | 2023-10-31T19:21:23Z | [] | https://github.com/huggingface/datasets/issues/6364 | NONE | completed | null | null | [
"You can use the following code to load this CSV with the list values preserved:\r\n```python\r\nfrom datasets import load_dataset\r\nimport ast\r\n\r\nconverters = {\r\n \"contexts\" : ast.literal_eval,\r\n \"ground_truths\" : ast.literal_eval,\r\n}\r\n\r\nds = load_dataset(\"csv\", data_files=\"golden_datas... | ArrowNotImplementedError: Unsupported cast from string to list using function cast_list | {
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} | I_kwDODunzps51XqHq | null | 2023-10-30T20:14:01Z | https://api.github.com/repos/huggingface/datasets/issues/6364/comments | Hi,
I am trying to load a local csv dataset(similar to explodinggradients_fiqa) using load_dataset. When I try to pass features, I am facing the mentioned issue.
CSV Data sample(golden_dataset.csv):
Question | Context | answer | groundtruth
"what is abc?"... | {
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1,968,891,277 | https://api.github.com/repos/huggingface/datasets/issues/6363 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6363/events | [] | null | 2023-11-22T00:29:21Z | [] | https://github.com/huggingface/datasets/issues/6363 | NONE | completed | null | null | [
"I think the code hangs on the `accelerator.main_process_first()` context manager exit. To verify this, you can append a print statement to the end of the `accelerator.main_process_first()` block. \r\n\r\n\r\nIf the problem is in `with_transform`, it would help if you could share the error stack trace printed when... | dataset.transform() hangs indefinitely while finetuning the stable diffusion XL | {
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} | I_kwDODunzps51WuWN | null | 2023-10-30T17:34:05Z | https://api.github.com/repos/huggingface/datasets/issues/6363/comments | ### Describe the bug
Multi-GPU fine-tuning the stable diffusion X by following https://github.com/huggingface/diffusers/blob/main/examples/text_to_image/README_sdxl.md hangs indefinitely.
### Steps to reproduce the bug
accelerate launch train_text_to_image_sdxl.py --pretrained_model_name_or_path=$MODEL_NAME --... | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | Simplify filesystem logic | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 2023-10-27T15:54:18Z | https://api.github.com/repos/huggingface/datasets/issues/6362/comments | Simplifies the existing filesystem logic (e.g., to avoid unnecessary if-else as mentioned in https://github.com/huggingface/datasets/pull/6098#issue-1827655071) | {
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... | https://github.com/huggingface/datasets/issues/6360 | CONTRIBUTOR | completed | null | null | [
"This issue stems from https://github.com/huggingface/datasets/blob/6d2f2a5e0fea3827eccfd1717d8021c15fc4292a/src/datasets/table.py#L2203-L2205\r\n\r\nI'll address it as part of https://github.com/huggingface/datasets/pull/6283.\r\n\r\nIn the meantime, this should work\r\n\r\n```python\r\nimport pyarrow as pa\r\nfro... | Add support for `Sequence(Audio/Image)` feature in `push_to_hub` | {
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} | I_kwDODunzps51Kcn2 | null | 2023-10-27T14:39:57Z | https://api.github.com/repos/huggingface/datasets/issues/6360/comments | ### Feature request
Allow for `Sequence` of `Image` (or `Audio`) to be embedded inside the shards.
### Motivation
Currently, thanks to #3685, when `embed_external_files` is set to True (which is the default) in `push_to_hub`, features of type `Image` and `Audio` are embedded inside the arrow/parquet shards, instead ... | {
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"Most likely, the data file inference logic is the problem here.\r\n\r\nYou can run the following code to verify this:\r\n```python\r\nimport time\r\nfrom datasets.data_files import get_data_patterns\r\nstart_time = time.time()\r\nget_data_patterns(\"/path/to/img_dir\")\r\nend_time = time.time()\r\nprint(f\"Elapsed... | Stuck in "Resolving data files..." | {
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} | I_kwDODunzps51JUwX | null | 2023-10-27T12:01:51Z | https://api.github.com/repos/huggingface/datasets/issues/6359/comments | ### Describe the bug
I have an image dataset with 300k images, the size of image is 768 * 768.
When I run `dataset = load_dataset("imagefolder", data_dir="/path/to/img_dir", split='train')` in second time, it takes 50 minutes to finish "Resolving data files" part, what's going on in this part?
From my understa... | {
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"You may be able to make it work by tweaking some environment variables, such as [`HF_HOME`](https://huggingface.co/docs/huggingface_hub/main/en/package_reference/environment_variables#hfhome) or [`HF_DATASETS_CACHE`](https://huggingface.co/docs/datasets/cache#cache-directory).",
"> You may be able to make it wor... | Mounting datasets cache fails due to absolute paths. | {
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} | I_kwDODunzps51H75D | null | 2023-10-27T08:20:27Z | https://api.github.com/repos/huggingface/datasets/issues/6358/comments | ### Describe the bug
Creating a datasets cache and mounting this into, for example, a docker container, renders the data unreadable due to absolute paths written into the cache.
### Steps to reproduce the bug
1. Create a datasets cache by downloading some data
2. Mount the dataset folder into a docker contain... | {
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] | null | 2023-10-27T02:31:16Z | [] | https://github.com/huggingface/datasets/issues/6357 | CONTRIBUTOR | null | null | null | [] | Allow passing a multiprocessing context to functions that support `num_proc` | {
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} | I_kwDODunzps51Gj2r | null | 2023-10-27T02:31:16Z | https://api.github.com/repos/huggingface/datasets/issues/6357/comments | ### Feature request
Allow specifying [a multiprocessing context](https://docs.python.org/3/library/multiprocessing.html#contexts-and-start-methods) to functions that support `num_proc` or use multiprocessing pools. For example, the following could be done:
```python
dataset = dataset.map(_func, num_proc=2, mp_cont... | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | Add `fsspec` version to the `datasets-cli env` command output | {
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1,963,979,896 | https://api.github.com/repos/huggingface/datasets/issues/6355 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6355/events | [] | null | 2024-01-11T06:34:16Z | [] | https://github.com/huggingface/datasets/pull/6355 | MEMBER | null | true | null | [
"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | More hub centric docs | {
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} | 2023-10-26T16:54:46Z | https://api.github.com/repos/huggingface/datasets/issues/6355/comments | Let's have more hub-centric documentation in the datasets docs
Tutorials
- Add “Configure the dataset viewer” page
- Change order:
- Overview
- and more focused on the Hub rather than the library
- Then all the hub related things
- and mention how to read/write with other tools like pandas
- The... | {
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"I am having issues as well with this. \r\n\r\nHowever, the error I am getting is :\r\n`RuntimeError: It appears that you are attempting to reference SparkContext from a broadcast variable, action, or transformation. SparkContext can only be used on the driver, not in code that it run on workers. For more informati... | `IterableDataset.from_spark` does not support multiple workers in pytorch `Dataloader` | {
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} | I_kwDODunzps51CGC8 | null | 2023-10-26T12:43:36Z | https://api.github.com/repos/huggingface/datasets/issues/6354/comments | ### Describe the bug
Looks like `IterableDataset.from_spark` does not support multiple workers in pytorch `Dataloader` if I'm not missing anything.
Also, returns not consistent error messages, which probably depend on the nondeterministic order of worker executions
Some exampes I've encountered:
```
File "/l... | {
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"solved.\r\nfsspec version problem",
"I'm using the latest datasets and fsspec , but still got this error!\r\n\r\ndatasets : Version: 2.13.0\r\n\r\nfsspec Version: 2023.10.0\r\n\r\n```\r\nFile \"/home/guoby/app/Anaconda3-2021.05/envs/news/lib/python3.8/site-packages/datasets/load.py\", line 1892, in load_from_... | load_dataset save_to_disk load_from_disk error | {
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} | I_kwDODunzps50-5uy | null | 2023-10-26T03:47:06Z | https://api.github.com/repos/huggingface/datasets/issues/6353/comments | ### Describe the bug
datasets version： 2.10.1
I `load_dataset `and `save_to_disk` sucessfully on windows10( **and I `load_from_disk(/LLM/data/wiki)` succcesfully on windows10**), and I copy the dataset `/LLM/data/wiki`
into a ubuntu system, but when I `load_from_disk(/LLM/data/wiki)` on ubuntu, something weird ha... | {
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"+1 \r\n```\r\nFound cached dataset csv (file:///home/ubuntu/.cache/huggingface/datasets/theSquarePond___csv/theSquarePond--XXXXX-bbf0a8365d693d2c/0.0.0/eea64c71ca8b46dd3f537ed218fc9bf495d5707789152eb2764f5c78fa66d59d)\r\n---------------------------------------------------------------------------\r\nNotImplementedE... | Error loading wikitext data raise NotImplementedError(f"Loading a dataset cached in a {type(self._fs).__name__} is not supported.") | {
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} | I_kwDODunzps509kL5 | null | 2023-10-25T21:55:31Z | https://api.github.com/repos/huggingface/datasets/issues/6352/comments | I was trying to load the wiki dataset, but i got this error
traindata = load_dataset('wikitext', 'wikitext-2-raw-v1', split='train')
File "/home/aelkordy/.conda/envs/prune_llm/lib/python3.9/site-packages/datasets/load.py", line 1804, in load_dataset
ds = builder_instance.as_dataset(split=split, verific... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | Fix use_dataset.mdx | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 2023-10-25T18:21:08Z | https://api.github.com/repos/huggingface/datasets/issues/6351/comments | The current example isn't working because it can't find `labels` inside the Dataset object. So I've added an extra step to the process. Tested and working in Colab. | {
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"`load_dataset` returns a `DatasetDict` object unless `split` is defined, in which case it returns a `Dataset` (or a list of datasets if `split` is a list). We've discussed dropping `DatasetDict` from the API in https://github.com/huggingface/datasets/issues/5189 to always return the same type in `load_dataset` an... | Different objects are returned from calls that should be returning the same kind of object. | {
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} | I_kwDODunzps5077-T | null | 2023-10-25T17:08:39Z | https://api.github.com/repos/huggingface/datasets/issues/6350/comments | ### Describe the bug
1. dataset = load_dataset("togethercomputer/RedPajama-Data-1T-Sample", cache_dir=training_args.cache_dir, split='train[:1%]')
2. dataset = load_dataset("togethercomputer/RedPajama-Data-1T-Sample", cache_dir=training_args.cache_dir)
The only difference I would expect these cal... | {
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"I'm unable to reproduce this error. The server hosting the files may have been down temporarily, so try again.",
"getting the same error",
"I am getting the following error:\r\nEnv: Python3.10\r\ndatasets: 2.10.1\r\nLinux: Amazon Linux2\r\n\r\n`Traceback (most recent call last):\r\n File \"<stdin>\", line 1, ... | Can't load ds = load_dataset("imdb") | {
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} | I_kwDODunzps506SIZ | null | 2023-10-25T13:29:51Z | https://api.github.com/repos/huggingface/datasets/issues/6349/comments | ### Describe the bug
I did `from datasets import load_dataset, load_metric` and then `ds = load_dataset("imdb")` and it gave me the error:
ExpectedMoreDownloadedFiles: {'http://ai.stanford.edu/~amaas/data/sentiment/aclImdb_v1.tar.gz'}
I tried doing `ds = load_dataset("imdb",download_mode="force_redownload")` as we... | {
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} | I_kwDODunzps505pUY | null | 2023-10-25T12:12:44Z | https://api.github.com/repos/huggingface/datasets/issues/6348/comments | it seems to be an issue with datasets not passing the token to embed_table_storage when generating a dataset
See https://github.com/huggingface/datasets-server/issues/2010 | {
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"This was fixed in https://github.com/huggingface/datasets/pull/6247. You can find the fix in the `main` version of the docs",
"Ah great, thanks :)"
] | Incorrect example code in 'Create a dataset' docs | {
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} | I_kwDODunzps50xAqj | null | 2023-10-24T11:01:21Z | https://api.github.com/repos/huggingface/datasets/issues/6347/comments | ### Describe the bug
On [this](https://huggingface.co/docs/datasets/create_dataset) page, the example code for loading in images and audio is incorrect.
Currently, examples are:
``` python
from datasets import ImageFolder
dataset = load_dataset("imagefolder", data_dir="/path/to/pokemon")
```
and
``` python... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | Fix UnboundLocalError if preprocessing returns an empty list | {
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```
def tokenize(batch, tokenizer, context_length):
outputs = tokenizer(
batch["text"],
truncation=True,
max_length=context_length,
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} | I_kwDODunzps50sEBe | null | 2023-10-23T17:55:37Z | https://api.github.com/repos/huggingface/datasets/issues/6345/comments | ### Feature request
Since the squad structure is widely used, I think it could be beneficial to support it using a YAML parameter.
could you implement automatic data loading of squad-like data using squad JSON format, to read it from JSON files and view it in the correct squad structure.
The dataset structure should... | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6340). All of your documentation changes will be reflected on that endpoint."
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- #6331
- #6210
- #5731
- #5617
- #5447
I propose that we explicitly test, introduce fixes and support each new `fsspec` version release.
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1,956,740,818 | https://api.github.com/repos/huggingface/datasets/issues/6335 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6335/events | [] | null | 2024-01-11T06:33:35Z | [] | https://github.com/huggingface/datasets/pull/6335 | MEMBER | null | false | null | [
"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | Support fsspec 2023.10.0 | {
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1,956,719,774 | https://api.github.com/repos/huggingface/datasets/issues/6334 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6334/events | [] | null | 2024-02-07T12:41:15Z | [] | https://github.com/huggingface/datasets/pull/6334 | CONTRIBUTOR | null | false | null | [
"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | datasets.filesystems: fix is_remote_filesystems | {
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`fsspec.implementations.LocalFilesystem.protocol`
was changed from `str` "file" to `tuple[str,...]` ("file", "local") in `fsspec>=2023.10.0`
This commit supports both styles. | {
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"Hi @albertvillanova @lhoestq \r\n\r\nI believe the pull request that pins the fsspec version (https://github.com/huggingface/datasets/pull/6331) was merged by mistake. Another fix for the issue was merged on the same day an hour apart. See https://github.com/huggingface/datasets/pull/6334\r\n\r\nI'm now having an ... | Support fsspec 2023.10.0 | {
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} | I_kwDODunzps50oRe3 | null | 2023-10-23T09:14:53Z | https://api.github.com/repos/huggingface/datasets/issues/6333/comments | Once root issue is fixed, remove temporary pin of fsspec < 2023.10.0 introduced by:
- #6331
Related to issue:
- #6330
As @ZachNagengast suggested, the issue might be related to:
- https://github.com/fsspec/filesystem_spec/pull/1381 | {
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1,956,697,328 | https://api.github.com/repos/huggingface/datasets/issues/6332 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6332/events | [] | null | 2023-11-07T08:23:10Z | [] | https://github.com/huggingface/datasets/pull/6332 | MEMBER | null | false | null | [
"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | Replace deprecated license_file in setup.cfg | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 2023-10-23T09:05:26Z | https://api.github.com/repos/huggingface/datasets/issues/6332/comments | Replace deprecated license_file in `setup.cfg`.
See: https://github.com/huggingface/datasets/actions/runs/6610930650/job/17953825724?pr=6331
```
/tmp/pip-build-env-a51hls20/overlay/lib/python3.8/site-packages/setuptools/config/setupcfg.py:293: _DeprecatedConfig: Deprecated config in `setup.cfg`
!!
... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | Temporarily pin fsspec < 2023.10.0 | {
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Hot fix #6330.
See: https://github.com/huggingface/datasets/actions/runs/6610904287/job/17953774987
```
...
ERROR tests/test_iterable_dataset.py::test_iterable_dataset_from_file - NotImplementedError: Loading a dataset cached in a LocalFileS... | {
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1,956,053,294 | https://api.github.com/repos/huggingface/datasets/issues/6330 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6330/events | [] | null | 2024-05-08T00:18:39Z | [
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"I also encountered a similar error below.\r\nAppreciate the team could shed some light on this issue.\r\n\r\n```\r\n---------------------------------------------------------------------------\r\nNotImplementedError Traceback (most recent call last)\r\n[/home/ubuntu/work/EveryDream2trainer/pre... | Latest fsspec==2023.10.0 issue with streaming datasets | {
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} | I_kwDODunzps50lwEu | null | 2023-10-22T20:57:10Z | https://api.github.com/repos/huggingface/datasets/issues/6330/comments | ### Describe the bug
Loading a streaming dataset with this version of fsspec fails with the following error:
`NotImplementedError: Loading a streaming dataset cached in a LocalFileSystem is not supported yet.`
I suspect the issue is with this PR
https://github.com/fsspec/filesystem_spec/pull/1381
### Steps ... | {
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1,955,470,755 | https://api.github.com/repos/huggingface/datasets/issues/6327 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6327/events | [] | null | 2023-10-23T18:50:07Z | [] | https://github.com/huggingface/datasets/issues/6327 | CONTRIBUTOR | completed | null | null | [
"You can clone the `togethercomputer/RedPajama-Data-1T-Sample` repo and load the dataset with `load_dataset(\"path/to/cloned_repo\")` to use it offline.",
"@mariosasko Thank you for your kind reply! I'll try it as a workaround.\r\nDoes that mean that currently it's not supported to simply load with a short name?"... | FileNotFoundError when trying to load the downloaded dataset with `load_dataset(..., streaming=True)` | {
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} | I_kwDODunzps50jh2j | null | 2023-10-21T12:27:03Z | https://api.github.com/repos/huggingface/datasets/issues/6327/comments | ### Describe the bug
Hi, I'm trying to load the dataset `togethercomputer/RedPajama-Data-1T-Sample` with `load_dataset` in streaming mode, i.e., `streaming=True`, but `FileNotFoundError` occurs.
### Steps to reproduce the bug
I've downloaded the dataset and save it to the cache dir in advance. My hope is loadi... | {
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1,955,420,178 | https://api.github.com/repos/huggingface/datasets/issues/6325 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6325/events | [] | null | 2023-10-23T14:55:58Z | [] | https://github.com/huggingface/datasets/pull/6325 | NONE | null | false | null | [] | Create battery_analysis.py | {
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1,955,126,687 | https://api.github.com/repos/huggingface/datasets/issues/6324 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6324/events | [] | null | 2023-10-23T20:52:57Z | [] | https://github.com/huggingface/datasets/issues/6324 | NONE | completed | null | null | [
"Unlike Pandas, Arrow is strict with types, so converting the problematic strings to ints (or ints to strings) to ensure all the values have the same type is the only fix. \r\n\r\nJSON support has been requested in Arrow [here](https://github.com/apache/arrow/issues/32538), but I don't expect this to be implemented... | Conversion to Arrow fails due to wrong type heuristic | {
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} | I_kwDODunzps50iN2f | null | 2023-10-20T23:20:58Z | https://api.github.com/repos/huggingface/datasets/issues/6324/comments | ### Describe the bug
I have a list of dictionaries with valid/JSON-serializable values.
One key is the denominator for a paragraph. In 99.9% of cases its a number, but there are some occurences of '1a', '2b' and so on.
If trying to convert this list to a dataset with `Dataset.from_list()`, I always get
`ArrowI... | {
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1,954,245,980 | https://api.github.com/repos/huggingface/datasets/issues/6323 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6323/events | [] | null | 2023-10-20T12:59:55Z | [] | https://github.com/huggingface/datasets/issues/6323 | NONE | null | null | null | [] | Loading dataset from large GCS bucket very slow since 2.14 | {
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} | I_kwDODunzps50e21c | null | 2023-10-20T12:59:55Z | https://api.github.com/repos/huggingface/datasets/issues/6323/comments | ### Describe the bug
Since updating to >2.14 we have very slow access to our parquet files on GCS when loading a dataset (>30 min vs 3s). Our GCS bucket has many objects and resolving globs is very slow. I could track down the problem to this change:
https://github.com/huggingface/datasets/blame/bade7af74437347a76083... | {
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1,952,947,461 | https://api.github.com/repos/huggingface/datasets/issues/6322 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6322/events | [] | null | 2023-10-23T14:40:45Z | [] | https://github.com/huggingface/datasets/pull/6322 | CONTRIBUTOR | null | false | null | [
"_The documentation is not available anymore as the PR was closed or merged._",
"> The reason why I used the the glob_pattern_to_regex in the entire pattern is because otherwise I got an error for Windows local paths: a base_path like 'C:\\\\Users\\\\runneradmin... made the function string_to_dict raise re.error:... | Fix regex `get_data_files` formatting for base paths | {
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- Input: `hf://datasets/...`
- Output: `hf:/datasets/...`... | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | Fix typos | {
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1,952,618,316 | https://api.github.com/repos/huggingface/datasets/issues/6320 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6320/events | [] | null | 2023-11-30T16:21:15Z | [] | https://github.com/huggingface/datasets/issues/6320 | NONE | completed | null | null | [
"The expression \"train+test\" concatenates the splits.\r\n\r\nThe individual splits as separate datasets can be obtained as follows:\r\n```python\r\ntrain_ds, test_ds = load_dataset(\"<dataset_name>\", split=[\"train\", \"test\"])\r\ntrain_10pct_ds, test_10pct_ds = load_dataset(\"<dataset_name>\", split=[\"train[:... | Dataset slice splits can't load training and validation at the same time | {
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} | I_kwDODunzps50YpdM | null | 2023-10-19T16:09:22Z | https://api.github.com/repos/huggingface/datasets/issues/6320/comments | ### Describe the bug
According to the [documentation](https://huggingface.co/docs/datasets/v2.14.5/loading#slice-splits) is should be possible to run the following command:
`train_test_ds = datasets.load_dataset("bookcorpus", split="train+test")`
to load the train and test sets from the dataset.
However ex... | {
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1,952,101,717 | https://api.github.com/repos/huggingface/datasets/issues/6319 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6319/events | [] | null | 2024-08-08T17:05:08Z | [] | https://github.com/huggingface/datasets/issues/6319 | NONE | null | null | null | [
"Hi! Instead of processing a single example at a time, you should use the batched `map` for the best performance (with `num_proc=1`) - the fast tokenizers can process a batch's samples in parallel in that scenario.\r\n\r\nE.g., the following code in Colab takes an hour to complete:\r\n```python\r\n# !pip install da... | Datasets.map is severely broken | {
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} | I_kwDODunzps50WrVV | null | 2023-10-19T12:19:33Z | https://api.github.com/repos/huggingface/datasets/issues/6319/comments | ### Describe the bug
Regardless of how many cores I used, I have 16 or 32 threads, map slows down to a crawl at around 80% done, lingers maybe until 97% extremely slowly and NEVER finishes the job. It just hangs.
After watching this for 27 hours I control-C out of it. Until the end one process appears to be doing s... | {
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1,952,100,706 | https://api.github.com/repos/huggingface/datasets/issues/6318 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6318/events | [] | null | 2023-10-19T16:27:20Z | [] | https://github.com/huggingface/datasets/pull/6318 | MEMBER | null | false | null | [
"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | Deterministic set hash | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 2023-10-19T12:19:13Z | https://api.github.com/repos/huggingface/datasets/issues/6318/comments | Sort the items in a set according to their `datasets.fingerprint.Hasher.hash` hash to get a deterministic hash of sets.
This is useful to get deterministic hashes of tokenizers that use a trie based on python sets.
reported in https://github.com/huggingface/datasets/issues/3847 | {
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1,951,965,668 | https://api.github.com/repos/huggingface/datasets/issues/6317 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6317/events | [] | null | 2023-10-19T13:04:56Z | [
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"Thanks for reporting. We are investigating the issue.",
"We have opened an issue in the corresponding Hub dataset: https://huggingface.co/datasets/sentiment140/discussions/3\r\n\r\nLet's continue the discussion there."
] | sentiment140 dataset unavailable | {
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} | I_kwDODunzps50WKHk | null | 2023-10-19T11:25:21Z | https://api.github.com/repos/huggingface/datasets/issues/6317/comments | ### Describe the bug
loading the dataset using load_dataset("sentiment140") returns the following error
ConnectionError: Couldn't reach http://cs.stanford.edu/people/alecmgo/trainingandtestdata.zip (error 403)
### Steps to reproduce the bug
Run the following code (version should not matter).
```
from data... | {
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1,951,819,869 | https://api.github.com/repos/huggingface/datasets/issues/6316 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6316/events | [] | null | 2023-10-20T06:23:21Z | [] | https://github.com/huggingface/datasets/pull/6316 | MEMBER | null | false | null | [
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 2023-10-19T10:21:34Z | https://api.github.com/repos/huggingface/datasets/issues/6316/comments | Currently, the reading of the metadata file infers the file extension (.jsonl or .csv) from the passed filename. However, downloaded files from the Hub don't have file extension. For example:
- the original file: `hf://datasets/__DUMMY_TRANSFORMERS_USER__/test-dataset-5916a4-16977085077831/metadata.jsonl`
- correspon... | {
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1,951,800,819 | https://api.github.com/repos/huggingface/datasets/issues/6315 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6315/events | [
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} | I_kwDODunzps50Vh3z | null | 2023-10-19T10:11:29Z | https://api.github.com/repos/huggingface/datasets/issues/6315/comments | When trying to load a Hub dataset that contains a CSV metadata file, it raises an `ArrowInvalid` error:
```
E pyarrow.lib.ArrowInvalid: JSON parse error: Invalid value. in row 0
pyarrow/error.pxi:100: ArrowInvalid
```
See: https://huggingface.co/datasets/lukarape/public_small_papers/discussions/1 | {
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1,951,684,763 | https://api.github.com/repos/huggingface/datasets/issues/6314 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6314/events | [] | null | 2023-10-19T09:20:06Z | [] | https://github.com/huggingface/datasets/pull/6314 | NONE | null | false | null | [] | Support creating new branch in push_to_hub | {
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1,951,527,712 | https://api.github.com/repos/huggingface/datasets/issues/6313 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6313/events | [] | null | 2023-10-20T14:06:13Z | [] | https://github.com/huggingface/datasets/pull/6313 | MEMBER | null | false | null | [
"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | Fix commit message formatting in multi-commit uploads | {
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- `Upload dataset (part 00000-of-00002)`
- `Upload dataset (part 00000-of-00002) (part 00001-of-00002)`
Introduced in https://github.com/huggingface/datasets/pull/6269
This PR fixes this issue to have
- `Upload dataset (part 00000-of-00002)`
- `Upload dataset... | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 2023-10-18T16:10:59Z | https://api.github.com/repos/huggingface/datasets/issues/6312/comments | In docs of about_arrow.md, in the below example code
The variable name 'time' was being used in a way that could potentially lead to a namespace conflict with Python's built-in 'time' module. It is not a good conven... | {
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1,949,304,993 | https://api.github.com/repos/huggingface/datasets/issues/6311 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6311/events | [] | null | 2024-02-06T19:24:20Z | [] | https://github.com/huggingface/datasets/issues/6311 | NONE | completed | null | null | [
"Thanks for reporting! We've spotted the bugs with the `array.values` handling and are fixing them in https://github.com/huggingface/datasets/pull/6283 (should be part of the next release).",
"> Thanks for reporting! We've spotted the bugs with the `array.values` handling and are fixing them in #6283 (should be p... | cast_column to Sequence with length=4 occur exception raise in datasets/table.py:2146 | {
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} | I_kwDODunzps50MAih | null | 2023-10-18T09:38:05Z | https://api.github.com/repos/huggingface/datasets/issues/6311/comments | ### Describe the bug
i load a dataset from local csv file which has 187383612 examples, then use `map` to generate new columns for test.
here is my code :
```
import os
from datasets import load_dataset
from datasets.features import Sequence, Value
def add_new_path(example):
example["ais_bbox"] =... | {
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1,947,457,988 | https://api.github.com/repos/huggingface/datasets/issues/6310 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6310/events | [] | null | 2024-08-09T11:51:55Z | [] | https://github.com/huggingface/datasets/pull/6310 | NONE | null | false | null | [
"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6310). All of your documentation changes will be reflected on that endpoint.",
"> Thanks for the change !\r\n> \r\n> Since `return` in python often refers to what is actually returned by the function (here `load_dataset`), I th... | Add return_file_name in load_dataset | {
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} | 2023-10-17T13:36:57Z | https://api.github.com/repos/huggingface/datasets/issues/6310/comments | Proposition to fix #5806.
Added an optional parameter `return_file_name` in the dataset builder config. When set to `True`, the function will include the file name corresponding to the sample in the returned output.
There is a difference between arrow-based and folder-based datasets to return the file name:
- fo... | {
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1,946,916,969 | https://api.github.com/repos/huggingface/datasets/issues/6309 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6309/events | [] | null | 2023-10-18T14:01:52Z | [] | https://github.com/huggingface/datasets/pull/6309 | MEMBER | null | false | null | [
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 2023-10-17T09:00:39Z | https://api.github.com/repos/huggingface/datasets/issues/6309/comments | Before the fix, `get_data_patterns` inferred wrongly the split name for paths with the word "data" twice:
- For the URL path: `hf://datasets/piuba-bigdata/articles_and_comments@f328d536425ae8fcac5d098c8408f437bffdd357/data/train-00001-of-00009.parquet` (note the org name `piuba-bigdata/` ending with `data/`)
- The in... | {
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"This (Windows) issue was fixed in `fsspec` in https://github.com/fsspec/filesystem_spec/pull/1275. So, to avoid the error, update the `fsspec` installation with `pip install -U fsspec`.",
"> This (Windows) issue was fixed in `fsspec` in [fsspec/filesystem_spec#1275](https://github.com/fsspec/filesystem_spec/pul... | module 'resource' has no attribute 'error' | {
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} | I_kwDODunzps50CfkB | null | 2023-10-17T08:08:54Z | https://api.github.com/repos/huggingface/datasets/issues/6308/comments | ### Describe the bug
just run import:
`from datasets import load_dataset`
and then:
```
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\__init__.py", line 22, in <module>
from .arrow_dataset import Dataset
File "C:\ProgramData\anaconda3\envs\py310\lib\site-packages\datasets\arrow... | {
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1,946,414,808 | https://api.github.com/repos/huggingface/datasets/issues/6307 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6307/events | [] | null | 2023-10-17T12:59:26Z | [] | https://github.com/huggingface/datasets/pull/6307 | CONTRIBUTOR | null | false | null | [
"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | Fix typo in code example in docs | {
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"more information：\r\n``` \r\nFile \"text2vec\\__init__.py\", line 8, in <module>\r\nFile \"<frozen importlib._bootstrap>\", line 1027, in _find_and_load\r\nFile \"<frozen importlib._bootstrap>\", line 1006, in _find_and_load_unlocked\r\nFile \"<frozen importlib._bootstrap>\", line 688, in _load_unlocked\r\nFile \"... | pyinstaller : OSError: could not get source code | {
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} | I_kwDODunzps50AyY8 | null | 2023-10-17T01:41:51Z | https://api.github.com/repos/huggingface/datasets/issues/6306/comments | ### Describe the bug
I ran a package with pyinstaller and got the following error：
### Steps to reproduce the bug
```
...
File "datasets\__init__.py", line 52, in <module>
File "<frozen importlib._bootstrap>", line 1027, in _find_and_load
File "<frozen importlib._bootstrap>", line 1006, in _find_an... | {
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1,946,010,912 | https://api.github.com/repos/huggingface/datasets/issues/6305 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6305/events | [] | null | 2023-10-18T13:50:36Z | [
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"Thanks for reporting, @finiteautomata.\r\n\r\nWe are investigating it. ",
"There is a bug in `datasets`. You can see our proposed fix:\r\n- #6309 "
] | Cannot load dataset with `2.14.5`: `FileNotFound` error | {
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} | I_kwDODunzps5z_cUg | null | 2023-10-16T20:11:27Z | https://api.github.com/repos/huggingface/datasets/issues/6305/comments | ### Describe the bug
I'm trying to load [piuba-bigdata/articles_and_comments] and I'm stumbling with this error on `2.14.5`. However, this works on `2.10.0`.
### Steps to reproduce the bug
[Colab link](https://colab.research.google.com/drive/1SAftFMQnFE708ikRnJJHIXZV7R5IBOCE#scrollTo=r2R2ipCCDmsg)
```python
D... | {
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Tensorflow --> TensorFlow
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"You can find the reasoning behind this naming scheme [here](https://github.com/huggingface/transformers/pull/16343#discussion_r931182168).\r\n\r\nThis point has been raised several times, so I'd be okay with starting with `00001-` (also to be consistent with the `transformers` sharding), but I'm not sure @lhoestq ... | Parquet uploads off-by-one naming scheme | {
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} | I_kwDODunzps5z1vIk | null | 2023-10-14T18:31:03Z | https://api.github.com/repos/huggingface/datasets/issues/6303/comments | ### Describe the bug
I noticed this numbering scheme not matching up in a different project and wanted to raise it as an issue for discussion, what is the actual proper way to have these stored?
<img width="425" alt="image" src="https://github.com/huggingface/datasets/assets/1981179/3ffa2144-7c9a-446f-b521-a5e9db71... | {
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"`writer._num_bytes` is updated every `writer_batch_size`-th call to the `write` method (default `writer_batch_size` is 1000 (examples)). You should be able to see the update by passing a smaller `writer_batch_size` to the `load_dataset_builder`.\r\n\r\nWe could improve this by supporting the string `writer_batch_s... | ArrowWriter/ParquetWriter `write` method does not increase `_num_bytes` and hence datasets not sharding at `max_shard_size` | {
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} | I_kwDODunzps5zwgjO | null | 2023-10-13T14:43:36Z | https://api.github.com/repos/huggingface/datasets/issues/6302/comments | ### Describe the bug
An example from [1], does not work when limiting shards with `max_shard_size`.
Try the following example with low `max_shard_size`, such as:
```python
builder.download_and_prepare(output_dir, storage_options=storage_options, file_format="parquet", max_shard_size="10MB")
```
The reason f... | {
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fix #6202 | {
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} | I_kwDODunzps5znLLW | null | 2023-10-12T10:03:46Z | https://api.github.com/repos/huggingface/datasets/issues/6299/comments | ### Feature request
Hi,
I like your idea of adapting the datasets library to be usable with JAX. Thank you for that.
However, in your [setup.py](https://github.com/huggingface/datasets/blob/main/setup.py), you enforce old versions of JAX <= 0.3... It is very cumbersome !
What is the rationale for such a lim... | {
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* adds two new sections (to be aligned with `transformers` and `hfh`): "Previewing the documentation" and "Writing documentation examples"
* replaces the mentions of `transformers` with `datasets`
* fixes some dead links | {
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Fix https://github.com/huggingface/datasets/issues/6293 | {
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"It looks to be the same issue as the one reported in https://discuss.huggingface.co/t/indexerror-invalid-key-16-is-out-of-bounds-for-size-0.\r\n\r\nCan you check the length of `train_dataset` before the `train_sampler = self._get_train_sampler()` (and after `_remove_unused_columns`) line?"
] | IndexError: Invalid key is out of bounds for size 0 despite having a populated dataset | {
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} | I_kwDODunzps5zecL1 | null | 2023-10-11T09:59:38Z | https://api.github.com/repos/huggingface/datasets/issues/6294/comments | ### Describe the bug
I am encountering an `IndexError` when trying to access data from a DataLoader which wraps around a dataset I've loaded using the `datasets` library. The error suggests that the dataset size is `0`, but when I check the length and print the dataset, it's clear that it has `1166` entries.
### Step... | {
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] | null | 2023-10-11T16:21:38Z | [] | https://github.com/huggingface/datasets/issues/6293 | MEMBER | completed | null | null | [] | Choose columns to stream parquet data in streaming mode | {
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} | I_kwDODunzps5zd-gf | null | 2023-10-11T08:59:36Z | https://api.github.com/repos/huggingface/datasets/issues/6293/comments | Currently passing columns= to load_dataset in streaming mode fails
```
Tried to load parquet data with columns '['link']' with mismatching features '{'caption': Value(dtype='string', id=None), 'image': {'bytes': Value(dtype='binary', id=None), 'path': Value(dtype='null', id=None)}, 'link': Value(dtype='string', id=... | {
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1,937,050,470 | https://api.github.com/repos/huggingface/datasets/issues/6292 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6292/events | [] | null | 2023-10-11T13:19:11Z | [] | https://github.com/huggingface/datasets/issues/6292 | NONE | null | null | null | [
"Hi! Can you provide a code that reproduces the issue?\r\n\r\nAlso, which version of `datasets` are you using? You can check this by running `python -c \"import datasets; print(datasets.__version__)\"` inside the env. We added support for \"float images\" in `datasets 2.9`."
] | how to load the image of dtype float32 or float64 | {
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} | I_kwDODunzps5zdQtm | null | 2023-10-11T07:27:16Z | https://api.github.com/repos/huggingface/datasets/issues/6292/comments | _FEATURES = datasets.Features(
{
"image": datasets.Image(),
"text": datasets.Value("string"),
},
)
The datasets builder seems only support the unit8 data. How to load the float dtype data? | {
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"Thanks for reporting! I've opened a PR with a fix"
] | Casting type from Array2D int to Array2D float crashes | {
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} | I_kwDODunzps5zZv9P | null | 2023-10-10T20:10:10Z | https://api.github.com/repos/huggingface/datasets/issues/6291/comments | ### Describe the bug
I am on a school project and the initial type for feature annotations are `Array2D(shape=(None, 4))`. I am trying to cast this type to a `float64` and pyarrow gives me this error :
```
Traceback (most recent call last):
File "/home/alan/dev/ClassezDesImagesAvecDesAlgorithmesDeDeeplearnin... | {
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