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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(...)`"
] | 2023-11-06 22:51:44 | 2023-11-16 18:07:01 | 2023-11-16 18:07:01 | null | NONE | [] | null | null | null | null | 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."
] | 2023-11-06 19:06:38 | 2023-11-06 23:56:12 | 2023-11-06 23:56:12 | null | NONE | [] | null | null | null | null | ### 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... | 2023-11-06 14:29:22 | 2023-11-06 16:50:45 | 2023-11-06 16:50:45 | null | NONE | [] | null | null | null | null | ### 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"
] | 2023-11-06 13:07:04 | 2023-11-19 05:42:06 | 2023-11-19 05:42:05 | null | NONE | [] | null | null | null | null | This is from https://github.com/huggingface/diffusers/issues/5573
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"Have you solved this problem?"
] | 2023-11-06 02:58:58 | 2024-06-12 13:15:00 | 2023-11-06 06:02:39 | null | NONE | [] | null | null | null | null | ### 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... | 2023-11-04 15:36:11 | 2024-01-10 11:53:52 | null | null | NONE | [] | null | null | null | null | ### 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... | null | {
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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... | 2023-11-02 10:15:58 | 2023-12-04 16:53:34 | 2023-12-04 16:53:33 | null | MEMBER | [] | null | null | null | null | ### 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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```
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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https://api.github.com/repos/huggingface/datasets/issues/6371 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6371/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6371/comments | https://api.github.com/repos/huggingface/datasets/issues/6371/events | https://github.com/huggingface/datasets/issues/6371 | 1,972,807,579 | I_kwDODunzps51lqeb | 6,371 | `Dataset.from_generator` should not try to download from HF GCS | {
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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"
] | 2023-11-01 17:36:17 | 2023-11-02 15:52:10 | 2023-11-02 15:52:10 | null | CONTRIBUTOR | [] | null | null | null | null | ### 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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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/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6370/comments | https://api.github.com/repos/huggingface/datasets/issues/6370/events | https://github.com/huggingface/datasets/issues/6370 | 1,972,073,909 | I_kwDODunzps51i3W1 | 6,370 | TensorDataset format does not work with Trainer from transformers | {
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"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... | 2023-11-01 10:09:54 | 2023-11-29 16:31:08 | 2023-11-29 16:31:08 | null | NONE | [] | null | null | null | null | ### 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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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/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6369/comments | https://api.github.com/repos/huggingface/datasets/issues/6369/events | https://github.com/huggingface/datasets/issues/6369 | 1,971,794,108 | I_kwDODunzps51hzC8 | 6,369 | Multi process map did not load cache file correctly | {
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"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... | 2023-11-01 06:36:54 | 2023-11-30 16:04:46 | 2023-11-30 16:04:45 | null | NONE | [] | null | null | null | null | ### 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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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/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6366/comments | https://api.github.com/repos/huggingface/datasets/issues/6366/events | https://github.com/huggingface/datasets/issues/6366 | 1,970,213,490 | I_kwDODunzps51bxJy | 6,366 | with_format() function returns bytes instead of PIL images even when image column is not part of "columns" | {
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"Thanks for reporting! I've opened a PR with a fix."
] | 2023-10-31 11:10:48 | 2023-11-02 14:21:17 | 2023-11-02 14:21:17 | null | NONE | [] | null | null | null | null | ### 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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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/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6365/comments | https://api.github.com/repos/huggingface/datasets/issues/6365/events | https://github.com/huggingface/datasets/issues/6365 | 1,970,140,392 | I_kwDODunzps51bfTo | 6,365 | Parquet size grows exponential for categorical data | {
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"Wrong repo."
] | 2023-10-31 10:29:02 | 2023-10-31 10:49:17 | 2023-10-31 10:49:17 | null | NONE | [] | null | null | null | null | ### 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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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/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6364/comments | https://api.github.com/repos/huggingface/datasets/issues/6364/events | https://github.com/huggingface/datasets/issues/6364 | 1,969,136,106 | I_kwDODunzps51XqHq | 6,364 | ArrowNotImplementedError: Unsupported cast from string to list using function cast_list | {
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"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... | 2023-10-30 20:14:01 | 2023-10-31 19:21:23 | 2023-10-31 19:21:23 | null | NONE | [] | null | null | null | null | 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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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/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6363/comments | https://api.github.com/repos/huggingface/datasets/issues/6363/events | https://github.com/huggingface/datasets/issues/6363 | 1,968,891,277 | I_kwDODunzps51WuWN | 6,363 | dataset.transform() hangs indefinitely while finetuning the stable diffusion XL | {
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"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... | 2023-10-30 17:34:05 | 2023-11-22 00:29:21 | 2023-11-22 00:29:21 | null | NONE | [] | null | null | null | null | ### 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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https://api.github.com/repos/huggingface/datasets/issues/6360 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6360/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6360/comments | https://api.github.com/repos/huggingface/datasets/issues/6360/events | https://github.com/huggingface/datasets/issues/6360 | 1,965,672,950 | I_kwDODunzps51Kcn2 | 6,360 | Add support for `Sequence(Audio/Image)` feature in `push_to_hub` | {
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"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... | 2023-10-27 14:39:57 | 2024-02-06 19:24:20 | 2024-02-06 19:24:20 | {
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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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https://api.github.com/repos/huggingface/datasets/issues/6359 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6359/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6359/comments | https://api.github.com/repos/huggingface/datasets/issues/6359/events | https://github.com/huggingface/datasets/issues/6359 | 1,965,378,583 | I_kwDODunzps51JUwX | 6,359 | Stuck in "Resolving data files..." | {
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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... | 2023-10-27 12:01:51 | 2025-03-09 02:18:19 | null | null | NONE | [] | null | null | null | null | ### 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... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6358 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6358/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6358/comments | https://api.github.com/repos/huggingface/datasets/issues/6358/events | https://github.com/huggingface/datasets/issues/6358 | 1,965,014,595 | I_kwDODunzps51H75D | 6,358 | Mounting datasets cache fails due to absolute paths. | {
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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... | 2023-10-27 08:20:27 | 2024-04-10 08:50:06 | 2023-11-28 14:47:12 | null | NONE | [] | null | null | null | null | ### 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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"Are there any updates on this? This is still a problem when using Datasets inside Ray processes.",
"Any updates on this? Getting\n```\nDeprecationWarning: This process (pid=269) is multi-threaded, use of fork() may lead to deadlocks in the child.\n self.pid = os.fork()\n```\nwhen using `num_proc` on python 3.... | 2023-10-27 02:31:16 | 2026-03-02 16:25:51 | null | null | CONTRIBUTOR | [] | null | null | null | null | ### 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... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6354 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6354/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6354/comments | https://api.github.com/repos/huggingface/datasets/issues/6354/events | https://github.com/huggingface/datasets/issues/6354 | 1,963,483,324 | I_kwDODunzps51CGC8 | 6,354 | `IterableDataset.from_spark` does not support multiple workers in pytorch `Dataloader` | {
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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... | 2023-10-26 12:43:36 | 2024-12-10 14:06:06 | null | null | NONE | [] | null | null | null | null | ### 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:
```
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https://api.github.com/repos/huggingface/datasets/issues/6353 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6353/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6353/comments | https://api.github.com/repos/huggingface/datasets/issues/6353/events | https://github.com/huggingface/datasets/issues/6353 | 1,962,646,450 | I_kwDODunzps50-5uy | 6,353 | load_dataset save_to_disk load_from_disk error | {
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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_... | 2023-10-26 03:47:06 | 2024-04-03 05:31:01 | 2023-10-26 10:18:04 | null | NONE | [] | null | null | null | null | ### 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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https://api.github.com/repos/huggingface/datasets/issues/6352 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6352/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6352/comments | https://api.github.com/repos/huggingface/datasets/issues/6352/events | https://github.com/huggingface/datasets/issues/6352 | 1,962,296,057 | I_kwDODunzps509kL5 | 6,352 | Error loading wikitext data raise NotImplementedError(f"Loading a dataset cached in a {type(self._fs).__name__} is not supported.") | {
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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... | 2023-10-25 21:55:31 | 2024-03-19 16:46:22 | 2023-11-07 07:26:54 | null | NONE | [] | null | null | null | null | 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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https://api.github.com/repos/huggingface/datasets/issues/6350 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6350/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6350/comments | https://api.github.com/repos/huggingface/datasets/issues/6350/events | https://github.com/huggingface/datasets/issues/6350 | 1,961,869,203 | I_kwDODunzps5077-T | 6,350 | Different objects are returned from calls that should be returning the same kind of object. | {
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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... | 2023-10-25 17:08:39 | 2023-10-26 21:03:06 | null | null | NONE | [] | null | null | null | null | ### 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... | null | {
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"I'm unable to reproduce this error. The server hosting the files may have been down temporarily, so try again.",
"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, in <module>\r\n File \"/hom... | 2023-10-25 13:29:51 | 2024-03-20 15:09:53 | 2023-10-31 19:59:35 | null | NONE | [] | null | null | null | null | ### 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 have created a project to stream audio in the datasets viewer on Hugging Face using Parquet.\n\nhttps://github.com/pr0mila/ParquetToHuggingFace"
] | 2023-10-25 12:12:44 | 2025-04-17 12:21:43 | null | null | CONTRIBUTOR | [] | null | null | null | null | 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 | null | {
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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 :)"
] | 2023-10-24 11:01:21 | 2023-10-25 13:05:21 | 2023-10-25 13:05:21 | null | NONE | [] | null | null | null | null | ### 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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https://api.github.com/repos/huggingface/datasets/issues/6345 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6345/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6345/comments | https://api.github.com/repos/huggingface/datasets/issues/6345/events | https://github.com/huggingface/datasets/issues/6345 | 1,957,707,870 | I_kwDODunzps50sEBe | 6,345 | support squad structure datasets using a YAML parameter | {
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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... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6333 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6333/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6333/comments | https://api.github.com/repos/huggingface/datasets/issues/6333/events | https://github.com/huggingface/datasets/issues/6333 | 1,956,714,423 | I_kwDODunzps50oRe3 | 6,333 | Support fsspec 2023.10.0 | {
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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 ... | 2023-10-23 09:14:53 | 2024-02-07 12:39:58 | 2024-02-07 12:39:58 | {
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"followers_url": "https://api.g... | MEMBER | [] | null | null | null | null | 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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"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... | 2023-10-22 20:57:10 | 2025-06-09 22:00:16 | 2023-10-23 09:17:56 | {
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"followers_url": "https://api.g... | CONTRIBUTOR | [] | null | null | null | null | ### 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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https://api.github.com/repos/huggingface/datasets/issues/6329 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6329/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6329/comments | https://api.github.com/repos/huggingface/datasets/issues/6329/events | https://github.com/huggingface/datasets/issues/6329 | 1,955,858,020 | I_kwDODunzps50lAZk | 6,329 | شبکه های متن به گفتار ابتدا متن داده شده را به بازنمایی میانی | {
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"شبکه های متن به گفتار ابتدا متن داده شده را به بازنمایی میانی"
] | 2023-10-22 11:07:21 | 2023-10-23 09:22:38 | 2023-10-23 09:22:38 | null | NONE | [] | null | null | null | null | null | {
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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/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6327/comments | https://api.github.com/repos/huggingface/datasets/issues/6327/events | https://github.com/huggingface/datasets/issues/6327 | 1,955,470,755 | I_kwDODunzps50jh2j | 6,327 | FileNotFoundError when trying to load the downloaded dataset with `load_dataset(..., streaming=True)` | {
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"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?"... | 2023-10-21 12:27:03 | 2023-10-23 18:50:07 | 2023-10-23 18:50:07 | null | CONTRIBUTOR | [] | null | null | null | null | ### 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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"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... | 2023-10-20 23:20:58 | 2023-10-23 20:52:57 | 2023-10-23 20:52:57 | null | NONE | [] | null | null | null | null | ### 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
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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/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6323/comments | https://api.github.com/repos/huggingface/datasets/issues/6323/events | https://github.com/huggingface/datasets/issues/6323 | 1,954,245,980 | I_kwDODunzps50e21c | 6,323 | Loading dataset from large GCS bucket very slow since 2.14 | {
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"I've also encountered this issue recently and want to ask if this has been seen.\r\n\r\n@albertvillanova for visibility - I'm not sure who the right person is to tag, but I noticed you were active recently so perhaps you can direct this to the right person.\r\n\r\nThanks!"
] | 2023-10-20 12:59:55 | 2024-09-03 18:42:33 | null | null | NONE | [] | null | null | null | null | ### 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... | null | {
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"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[:... | 2023-10-19 16:09:22 | 2023-11-30 16:21:15 | 2023-11-30 16:21:15 | null | NONE | [] | null | null | null | null | ### 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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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/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6319/comments | https://api.github.com/repos/huggingface/datasets/issues/6319/events | https://github.com/huggingface/datasets/issues/6319 | 1,952,101,717 | I_kwDODunzps50WrVV | 6,319 | Datasets.map is severely broken | {
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"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... | 2023-10-19 12:19:33 | 2024-08-08 17:05:08 | null | null | NONE | [] | null | null | null | null | ### 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... | null | {
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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/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6317/comments | https://api.github.com/repos/huggingface/datasets/issues/6317/events | https://github.com/huggingface/datasets/issues/6317 | 1,951,965,668 | I_kwDODunzps50WKHk | 6,317 | sentiment140 dataset unavailable | {
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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."
] | 2023-10-19 11:25:21 | 2023-10-19 13:04:56 | 2023-10-19 13:04:56 | {
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"followers_url": "https://api.g... | NONE | [] | null | null | null | null | ### 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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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/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6315/comments | https://api.github.com/repos/huggingface/datasets/issues/6315/events | https://github.com/huggingface/datasets/issues/6315 | 1,951,800,819 | I_kwDODunzps50Vh3z | 6,315 | Hub datasets with CSV metadata raise ArrowInvalid: JSON parse error: Invalid value. in row 0 | {
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```
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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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/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6311/comments | https://api.github.com/repos/huggingface/datasets/issues/6311/events | https://github.com/huggingface/datasets/issues/6311 | 1,949,304,993 | I_kwDODunzps50MAih | 6,311 | cast_column to Sequence with length=4 occur exception raise in datasets/table.py:2146 | {
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"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... | 2023-10-18 09:38:05 | 2024-02-06 19:24:20 | 2024-02-06 19:24:20 | null | NONE | [] | null | null | null | null | ### 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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https://api.github.com/repos/huggingface/datasets/issues/6308 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6308/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6308/comments | https://api.github.com/repos/huggingface/datasets/issues/6308/events | https://github.com/huggingface/datasets/issues/6308 | 1,946,810,625 | I_kwDODunzps50CfkB | 6,308 | module 'resource' has no attribute 'error' | {
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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... | 2023-10-17 08:08:54 | 2023-10-25 17:09:22 | 2023-10-25 17:09:22 | null | NONE | [] | null | null | null | null | ### 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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https://api.github.com/repos/huggingface/datasets/issues/6306 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6306/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6306/comments | https://api.github.com/repos/huggingface/datasets/issues/6306/events | https://github.com/huggingface/datasets/issues/6306 | 1,946,363,452 | I_kwDODunzps50AyY8 | 6,306 | pyinstaller : OSError: could not get source code | {
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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 \"... | 2023-10-17 01:41:51 | 2023-11-02 07:24:51 | 2023-10-18 14:03:42 | null | NONE | [] | null | null | null | null | ### 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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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/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6305/comments | https://api.github.com/repos/huggingface/datasets/issues/6305/events | https://github.com/huggingface/datasets/issues/6305 | 1,946,010,912 | I_kwDODunzps5z_cUg | 6,305 | Cannot load dataset with `2.14.5`: `FileNotFound` error | {
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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 "
] | 2023-10-16 20:11:27 | 2023-10-18 13:50:36 | 2023-10-18 13:50:36 | {
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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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https://api.github.com/repos/huggingface/datasets/issues/6303 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6303/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6303/comments | https://api.github.com/repos/huggingface/datasets/issues/6303/events | https://github.com/huggingface/datasets/issues/6303 | 1,943,466,532 | I_kwDODunzps5z1vIk | 6,303 | Parquet uploads off-by-one naming scheme | {
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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 ... | 2023-10-14 18:31:03 | 2023-10-16 16:33:21 | null | null | CONTRIBUTOR | [] | null | null | null | null | ### 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... | null | {
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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... | 2023-10-13 14:43:36 | 2023-10-17 06:52:12 | 2023-10-17 06:52:11 | null | NONE | [] | null | null | null | null | ### 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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https://api.github.com/repos/huggingface/datasets/issues/6299 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6299/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6299/comments | https://api.github.com/repos/huggingface/datasets/issues/6299/events | https://github.com/huggingface/datasets/issues/6299 | 1,939,649,238 | I_kwDODunzps5znLLW | 6,299 | Support for newer versions of JAX | {
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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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"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?"
] | 2023-10-11 09:59:38 | 2023-10-17 11:24:06 | 2023-10-17 11:24:06 | null | NONE | [] | null | null | null | null | ### 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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```
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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"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`."
] | 2023-10-11 07:27:16 | 2023-10-11 13:19:11 | null | null | NONE | [] | null | null | null | null | _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? | null | {
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"Thanks for reporting! I've opened a PR with a fix"
] | 2023-10-10 20:10:10 | 2023-10-13 13:45:31 | 2023-10-13 13:45:31 | null | NONE | [] | null | null | null | null | ### 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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"Yea I think waiting for #6269 would be best, or branching from it. For reference, this [PR](https://github.com/LAION-AI/Discord-Scrapers/pull/2) is progressing pretty well which will do similar using the hf hub for our LAION dataset bot https://github.com/LAION-AI/Discord-Scrapers/pull/2. ",
"Is there any update... | 2023-10-10 15:18:03 | 2026-09-11 03:26:19 | null | null | CONTRIBUTOR | [] | null | null | null | null | ### Feature request
Have the possibility to do `ds.push_to_hub(..., append=True)`.
### Motivation
Requested in this [comment](https://huggingface.co/datasets/laion/dalle-3-dataset/discussions/3#65252597c4edc168202a5eaa) and
this [comment](https://huggingface.co/datasets/laion/dalle-3-dataset/discussions/4#6524f675... | null | {
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"A duplicate of https://github.com/huggingface/datasets/issues/4796.\r\n\r\nWe could get this for free by implementing the `Image` feature as an extension type, as shown in [this](https://colab.research.google.com/drive/1Uzm_tXVpGTwbzleDConWcNjacwO1yxE4?usp=sharing) Colab (example with UUIDs).\r\n",
"+1 to this\r... | 2023-10-10 10:29:16 | 2024-11-29 16:35:30 | null | null | MEMBER | [] | null | null | null | null | Currently type inference doesn't know what to do with a Pandas Series of PIL.Image objects, though it would be nice to get a Dataset with the Image type this way | null | {
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"There is no \"text\" column in the `amazon_reviews_multi`, hence the `KeyError`. You can get the column names by running `dataset.column_names`."
] | 2023-10-09 10:27:30 | 2023-10-11 20:28:45 | 2023-10-11 20:28:45 | null | NONE | [] | null | null | null | null | ### Describe the bug
The [map() documentation](https://huggingface.co/docs/datasets/v2.14.5/en/package_reference/main_classes#datasets.Dataset.map) reads:
`
ds = ds.map(lambda x: tokenizer(x['text'], truncation=True, padding=True), batched=True)`
I have been trying to reproduce it in my code as:
`tokenizedData... | {
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"You should be able to load the images by modifying the `load_dataset` call like this:\r\n```python\r\ndataset = load_dataset(\"imagefolder\", data_dir=\"/content/datasets/PotholeDetectionYOLOv8-1\")\r\n```\r\n\r\nThe `imagefolder` builder expects the image files to be in `path/label/image_file` (e.g. .`.../train/d... | 2023-10-09 04:56:26 | 2023-10-10 13:17:33 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
my dataset is in form : train- image /n -labels
and tried the code:
```
from datasets import load_dataset
data_files = {
"train": "/content/datasets/PotholeDetectionYOLOv8-1/train/",
"validation": "/content/datasets/PotholeDetectionYOLOv8-1/valid/",
"test": "/content/dat... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6284 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6284/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6284/comments | https://api.github.com/repos/huggingface/datasets/issues/6284/events | https://github.com/huggingface/datasets/issues/6284 | 1,929,551,712 | I_kwDODunzps5zAp9g | 6,284 | Add Belebele multiple-choice machine reading comprehension (MRC) dataset | {
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"This dataset is already available on the Hub: https://huggingface.co/datasets/facebook/belebele.\r\n"
] | 2023-10-06 06:58:03 | 2023-10-06 13:26:51 | 2023-10-06 13:26:51 | null | NONE | [] | null | null | null | null | ### Feature request
Belebele is a multiple-choice machine reading comprehension (MRC) dataset spanning 122 language variants. This dataset enables the evaluation of mono- and multi-lingual models in high-, medium-, and low-resource languages. Each question has four multiple-choice answers and is linked to a short pass... | {
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https://api.github.com/repos/huggingface/datasets/issues/6280 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6280/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6280/comments | https://api.github.com/repos/huggingface/datasets/issues/6280/events | https://github.com/huggingface/datasets/issues/6280 | 1,928,215,278 | I_kwDODunzps5y7jru | 6,280 | Couldn't cast array of type fixed_size_list to Sequence(Value(float64)) | {
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"Thanks for reporting! I've opened a PR with a fix.",
"Thanks for the quick response @mariosasko! I just installed your branch via `poetry add 'git+https://github.com/huggingface/datasets#fix-array_values'` and I can confirm it works on the example provided.\r\n\r\nFollow up question for you, should `None`s be s... | 2023-10-05 12:48:31 | 2024-02-06 19:24:20 | 2024-02-06 19:24:20 | null | NONE | [] | null | null | null | null | ### Describe the bug
I have a dataset with an embedding column, when I try to map that dataset I get the following exception:
```
Traceback (most recent call last):
File "/Users/jmif/.virtualenvs/llm-training/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 3189, in map
for rank, done, content... | {
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https://api.github.com/repos/huggingface/datasets/issues/6279 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6279/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6279/comments | https://api.github.com/repos/huggingface/datasets/issues/6279/events | https://github.com/huggingface/datasets/issues/6279 | 1,928,028,226 | I_kwDODunzps5y62BC | 6,279 | Batched IterableDataset | {
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"This is exactly what I was looking for. It would also be very useful for me :-)",
"This issue is really smashing the selling point of HF datasets... The only workaround I've found so far is to create a customized IterableDataloader which improves the loading speed to some extent.\r\n\r\nFor example I've a HF dat... | 2023-10-05 11:12:49 | 2024-11-07 10:01:22 | null | null | NONE | [] | null | null | null | null | ### Feature request
Hi,
could you add an implementation of a batched `IterableDataset`. It already support an option to do batch iteration via `.iter(batch_size=...)` but this cannot be used in combination with a torch `DataLoader` since it just returns an iterator.
### Motivation
The current implementation load... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6277 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6277/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6277/comments | https://api.github.com/repos/huggingface/datasets/issues/6277/events | https://github.com/huggingface/datasets/issues/6277 | 1,927,044,546 | I_kwDODunzps5y3F3C | 6,277 | FileNotFoundError: Couldn't find a module script at /content/paws-x/paws-x.py. Module 'paws-x' doesn't exist on the Hugging Face Hub either. | {
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"`evaluate.load(\"paws-x\", \"es\")` throws the error because there is no such metric in the `evaluate` lib.\r\n\r\nSo, this is unrelated to our lib."
] | 2023-10-04 22:01:25 | 2023-10-08 17:05:46 | 2023-10-08 17:05:46 | null | NONE | [] | null | null | null | null | ### Describe the bug
I'm encountering a "FileNotFoundError" while attempting to use the "paws-x" dataset to retrain the DistilRoBERTa-base model. The error message is as follows:
FileNotFoundError: Couldn't find a module script at /content/paws-x/paws-x.py. Module 'paws-x' doesn't exist on the Hugging Face Hub eit... | {
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https://api.github.com/repos/huggingface/datasets/issues/6276 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6276/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6276/comments | https://api.github.com/repos/huggingface/datasets/issues/6276/events | https://github.com/huggingface/datasets/issues/6276 | 1,925,961,878 | I_kwDODunzps5yy9iW | 6,276 | I'm trying to fine tune the openai/whisper model from huggingface using jupyter notebook and i keep getting this error | {
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"Since you are using Windows, maybe moving the `map` call inside `if __name__ == \"__main__\"` can fix the issue:\r\n```python\r\nif __name__ == \"__main__\":\r\n common_voice = common_voice.map(prepare_dataset, remove_columns=common_voice.column_names[\"train\"], num_proc=4)\r\n```\r\n\r\nOtherwise, the only s... | 2023-10-04 11:03:41 | 2023-11-27 10:39:16 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
I'm trying to fine tune the openai/whisper model from huggingface using jupyter notebook and i keep getting this error, i'm following the steps in this blog post
https://huggingface.co/blog/fine-tune-whisper
I tried google collab and it works but because I'm on the free version the training ... | null | {
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"Hi! The process of contributing a dataset is explained here: https://huggingface.co/docs/datasets/upload_dataset. Also, check https://huggingface.co/docs/datasets/image_dataset for a more detailed explanation of how to share an image dataset."
] | 2023-10-02 07:00:21 | 2023-10-10 16:27:54 | 2023-10-10 16:27:54 | null | NONE | [] | null | null | null | null | I have a dataset of 2500 images that can be used for color-blind machine-learning algorithms. Since , there was no dataset available online , I made this dataset myself and would like to contribute this now to community | {
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"Please tell me if the above info is not enough for solving the problem. I will then make my dataset public temporarily so that you can really reproduce the bug. ",
"Hi! \r\nCould you share how to solve this problem? \r\nI faced this same error. "
] | 2023-10-01 23:45:56 | 2024-08-14 04:42:02 | 2023-10-02 20:09:38 | null | NONE | [] | null | null | null | null | ### Describe the bug
When there is only one config and only the dataset name is entered when using datasets.load_dataset(), it works fine. But if I create a second builder_config for my dataset and enter the config name when using datasets.load_dataset(), the following error will happen.
FileNotFoundError: [Errno 2... | {
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"This has already been reported in the HF Course repo (https://github.com/huggingface/course/issues/623).",
"@lhoestq @albertvillanova @lewtun I don't think we are allowed to host these data files on the Hub (due to DMCA), which means the only option is to use a different dataset in the course (and to re-record t... | 2023-10-01 19:08:48 | 2024-04-28 02:30:42 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
The link provided for the dataset is broken,
data_files =
[https://the-eye.eu/public/AI/pile_preliminary_components/PUBMED_title_abstracts_2019_baseline.jsonl.zst](url)
The
### Steps to reproduce the bug
Steps to reproduce:
1) Head over to [https://huggingface.co/learn/nlp-course/chapt... | null | {
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"Also reported in https://github.com/huggingface/datasets/issues/6259",
"I think it's best to drop duplicates with a `set` (as a temporary fix) and improve the patterns when/if https://github.com/fsspec/filesystem_spec/pull/1382 gets merged. @lhoestq Do you have some other ideas?",
"Alternatively we could just... | 2023-10-01 15:43:56 | 2024-03-15 15:22:05 | 2024-03-15 15:22:05 | null | MEMBER | [] | null | null | null | null | e.g. with `u23429/stock_1_minute_ticker`
```ipython
In [1]: from datasets import *
In [2]: b = load_dataset_builder("u23429/stock_1_minute_ticker")
Downloading readme: 100%|██████████████████████████| 627/627 [00:00<00:00, 246kB/s]
In [3]: b.config.data_files
Out[3]:
{NamedSplit('train'): ['hf://datasets/... | {
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https://api.github.com/repos/huggingface/datasets/issues/6271 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6271/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6271/comments | https://api.github.com/repos/huggingface/datasets/issues/6271/events | https://github.com/huggingface/datasets/issues/6271 | 1,920,420,295 | I_kwDODunzps5yd0nH | 6,271 | Overwriting Split overwrites data but not metadata, corrupting dataset | {
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I want to be able to overwrite/update/delete splits in my dataset. Currently the only way to do is to manually go into the dataset and delete the split. If I try to overwrite programmatically I end up in an error state and (somewhat) corrupting the dataset. Read below.
**Current Behavior**
Whe... | {
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https://api.github.com/repos/huggingface/datasets/issues/6270 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6270/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6270/comments | https://api.github.com/repos/huggingface/datasets/issues/6270/events | https://github.com/huggingface/datasets/issues/6270 | 1,920,329,373 | I_kwDODunzps5ydead | 6,270 | Dataset.from_generator raises with sharded gen_args | {
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"`gen_kwargs` should be a `dict`, as stated in the docstring, but you are passing a `list`.\r\n\r\nSo, to fix the error, replace the list of dicts with a dict of lists (and slightly modify the generator function):\r\n```python\r\nfrom pathlib import Path\r\nimport datasets\r\n\r\ndef process_yaml(files):\r\n for... | 2023-09-30 16:50:06 | 2023-10-11 20:29:12 | 2023-10-11 20:29:11 | null | CONTRIBUTOR | [] | null | null | null | null | ### Describe the bug
According to the docs of Datasets.from_generator:
```
gen_kwargs(`dict`, *optional*):
Keyword arguments to be passed to the `generator` callable.
You can define a sharded dataset by passing the list of shards in `gen_kwargs`.
```
So I'd expect that if gen_kwar... | {
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https://api.github.com/repos/huggingface/datasets/issues/6267 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6267/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6267/comments | https://api.github.com/repos/huggingface/datasets/issues/6267/events | https://github.com/huggingface/datasets/issues/6267 | 1,916,443,262 | I_kwDODunzps5yOpp- | 6,267 | Multi label class encoding | {
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"You can use a `Sequence(ClassLabel(...))` feature type to represent a list of labels, and `cast_column`/`cast` to perform the \"string to label\" conversion (`class_encode_column` does support nested fields), e.g., in your case:\r\n```python\r\nfrom datasets import Dataset, Sequence, ClassLabel\r\ndata = {\r\n ... | 2023-09-27 22:48:08 | 2023-10-26 18:46:08 | null | null | NONE | [] | null | null | null | null | ### Feature request
I have a multi label dataset and I'd like to be able to class encode the column and store the mapping directly in the features just as I can with a single label column. `class_encode_column` currently does not support multi labels.
Here's an example of what I'd like to encode:
```
data = {
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See: https://github.com/huggingface/datasets/actions/runs/6322990957/job/17169678812?pr=6262
```
FAILED tests/test_py_utils.py::TempSeedTest::test_tensorflow - ImportError: cannot import name 'context' from 'tensorflow.python' (/opt/hostedtoolcache/Python/3.10.13/x64/li... | {
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https://api.github.com/repos/huggingface/datasets/issues/6261 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6261/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6261/comments | https://api.github.com/repos/huggingface/datasets/issues/6261/events | https://github.com/huggingface/datasets/issues/6261 | 1,913,813,178 | I_kwDODunzps5yEni6 | 6,261 | Can't load a dataset | {
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"I believe is due to the fact that doesn't work with .tgz files.",
"`JourneyDB/JourneyDB` is a gated dataset, so this error means you are not authenticated to access it, either by using an invalid token or by not agreeing to the terms in the dialog on the dataset page.\r\n\r\n> I believe is due to the fact that d... | 2023-09-26 15:46:25 | 2023-10-05 10:23:23 | 2023-10-05 10:23:22 | null | NONE | [] | null | null | null | null | ### Describe the bug
Can't seem to load the JourneyDB dataset.
It throws the following error:
```
---------------------------------------------------------------------------
FileNotFoundError Traceback (most recent call last)
Cell In[15], line 2
1 # If the dataset is gated/priv... | {
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https://api.github.com/repos/huggingface/datasets/issues/6260 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6260/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6260/comments | https://api.github.com/repos/huggingface/datasets/issues/6260/events | https://github.com/huggingface/datasets/issues/6260 | 1,912,593,466 | I_kwDODunzps5x_9w6 | 6,260 | REUSE_DATASET_IF_EXISTS don't work | {
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"Hi! Unfortunately, the current behavior is to delete the downloaded data when this error happens. So, I've opened a PR that removes the problematic import to avoid losing data due to `apache_beam` not being installed (we host the preprocessed version of `natual_questions` on the HF GCS, so requiring `apache_beam` ... | 2023-09-26 03:02:16 | 2023-09-28 18:23:36 | 2023-09-28 18:23:36 | null | NONE | [] | null | null | null | null | ### Describe the bug
I use the following code to download natural_question dataset. Even though I have completely download it, the next time I run this code, the new download procedure will start and cover the original /data/lxy/NQ
config=datasets.DownloadConfig(resume_download=True,max_retries=100,cache_dir=r'/da... | {
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"Thanks for reporting this issue! We should be able to avoid this by making our `glob` patterns more precise. In the meantime, you can load the dataset by directly assigning splits to the data files: \r\n```python\r\nfrom datasets import load_dataset\r\nds = load_dataset(\"parquet\", data_files={\"train\": \"testin... | 2023-09-25 17:20:54 | 2024-03-15 15:22:04 | 2024-03-15 15:22:04 | {
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When parquet files are saved in "train" and "val" subdirectories under a root directory, and datasets are then loaded using `load_dataset("parquet", data_dir="root_directory")`, the resulting dataset has duplicated rows for both the training and validation sets.
### Steps to reproduce the bug... | {
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"how is your dataset structured? (file types, how many commits and files are you trying to push, etc)",
"I succeeded in uploading it after several attempts with an hour gap between each attempt (inconvenient but worked). The final dataset is [here](https://huggingface.co/datasets/yuvalkirstain/pickapic_v2), code ... | 2023-09-25 06:11:43 | 2023-10-16 13:30:49 | 2023-10-16 13:30:48 | null | NONE | [] | null | null | null | null | ### Describe the bug
I try to upload a very large dataset of images, and get the following error:
```
File /fsx-multigen/yuvalkirstain/miniconda/envs/pickapic/lib/python3.10/site-packages/huggingface_hub/hf_api.py:2712, in HfApi.create_commit(self, repo_id, operations, commit_message, commit_description, token, repo... | {
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https://api.github.com/repos/huggingface/datasets/issues/6256 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6256/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6256/comments | https://api.github.com/repos/huggingface/datasets/issues/6256/events | https://github.com/huggingface/datasets/issues/6256 | 1,910,275,199 | I_kwDODunzps5x3Hx_ | 6,256 | load_dataset() function's cache_dir does not seems to work | {
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"Can you share the error message?\r\n\r\nAlso, it would help if you could check whether `huggingface_hub`'s download behaves the same:\r\n```python\r\nfrom huggingface_hub import snapshot_download\r\nsnapshot_download(\"trec\", repo_type=\"dataset\", cache_dir='/path/to/my/dir)\r\n```\r\n\r\nIn the next major relea... | 2023-09-24 15:34:06 | 2025-05-14 10:08:53 | 2024-10-08 15:45:18 | null | NONE | [] | null | null | null | null | ### Describe the bug
datasets version: 2.14.5
when trying to run the following command
trec = load_dataset('trec', split='train[:1000]', cache_dir='/path/to/my/dir')
I keep getting error saying the command does not have permission to the default cache directory on my macbook pro machine.
It seems the cache_... | {
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https://api.github.com/repos/huggingface/datasets/issues/6254 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6254/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6254/comments | https://api.github.com/repos/huggingface/datasets/issues/6254/events | https://github.com/huggingface/datasets/issues/6254 | 1,909,672,104 | I_kwDODunzps5x00io | 6,254 | Dataset.from_generator() cost much more time in vscode debugging mode then running mode | {
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"Answered on the forum: https://discuss.huggingface.co/t/dataset-from-generator-cost-much-more-time-in-vscode-debugging-mode-then-running-mode/56005/2"
] | 2023-09-23 02:07:26 | 2023-10-03 14:42:53 | 2023-10-03 14:42:53 | null | NONE | [] | null | null | null | null | ### Describe the bug
Hey there,
I’m using Dataset.from_generator() to convert a torch_dataset to the Huggingface Dataset.
However, when I debug my code on vscode, I find that it runs really slow on Dataset.from_generator() which may even 20 times longer then run the script on terminal.
### Steps to reproduce the bu... | {
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https://api.github.com/repos/huggingface/datasets/issues/6252 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6252/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6252/comments | https://api.github.com/repos/huggingface/datasets/issues/6252/events | https://github.com/huggingface/datasets/issues/6252 | 1,906,375,378 | I_kwDODunzps5xoPrS | 6,252 | exif_transpose not done to Image (PIL problem) | {
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"Indeed, it makes sense to do this by default. \r\n\r\nIn the meantime, you can use `.with_transform` to transpose the images when accessing them:\r\n\r\n```python\r\nimport PIL.ImageOps\r\n\r\ndef exif_transpose_transform(batch):\r\n batch[\"image\"] = [PIL.ImageOps.exif_transpose(image) for image in batch[\"imag... | 2023-09-21 08:11:46 | 2024-03-19 15:29:43 | 2024-03-19 15:29:43 | null | NONE | [] | null | null | null | null | ### Feature request
I noticed that some of my images loaded using PIL have some metadata related to exif that can rotate them when loading.
Since the dataset.features.Image uses PIL for loading, the loaded image may be rotated (width and height will be inverted) thus for tasks as object detection and layoutLM this ca... | {
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https://api.github.com/repos/huggingface/datasets/issues/6246 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6246/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6246/comments | https://api.github.com/repos/huggingface/datasets/issues/6246/events | https://github.com/huggingface/datasets/issues/6246 | 1,899,848,414 | I_kwDODunzps5xPWLe | 6,246 | Add new column to dataset | {
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"I think it's an issue with the code.\r\n\r\nSpecifically:\r\n```python\r\ndataset = dataset['train'].add_column(\"/workspace/data\", new_column)\r\n```\r\n\r\nNow `dataset` is the train set with a new column. \r\nTo fix this, you can do:\r\n\r\n```python\r\ndataset['train'] = dataset['train'].add_column(\"/workspa... | 2023-09-17 16:59:48 | 2023-09-18 16:20:09 | 2023-09-18 16:20:09 | null | NONE | [] | null | null | null | null | ### Describe the bug
```
---------------------------------------------------------------------------
KeyError Traceback (most recent call last)
[<ipython-input-9-bd197b36b6a0>](https://localhost:8080/#) in <cell line: 1>()
----> 1 dataset['train']['/workspace/data']
3 frames
[/... | {
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https://api.github.com/repos/huggingface/datasets/issues/6242 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6242/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6242/comments | https://api.github.com/repos/huggingface/datasets/issues/6242/events | https://github.com/huggingface/datasets/issues/6242 | 1,896,899,123 | I_kwDODunzps5xEGIz | 6,242 | Data alteration when loading dataset with unspecified inner sequence length | {
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"While this issue may seem specific, it led to a silent problem in my workflow that took days to diagnose. If this feature is not intended to be supported, an error should be raised when encountering this configuration to prevent such issues.",
"Thanks for reporting! This is a MRE:\r\n\r\n```python\r\nimport pyar... | 2023-09-14 16:12:45 | 2023-09-19 17:53:18 | 2023-09-19 17:53:18 | null | MEMBER | [] | null | null | null | null | ### Describe the bug
When a dataset saved with a specified inner sequence length is loaded without specifying that length, the original data is altered and becomes inconsistent.
### Steps to reproduce the bug
```python
from datasets import Dataset, Features, Value, Sequence, load_dataset
# Repository ID
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https://api.github.com/repos/huggingface/datasets/issues/6240 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6240/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6240/comments | https://api.github.com/repos/huggingface/datasets/issues/6240/events | https://github.com/huggingface/datasets/issues/6240 | 1,895,723,888 | I_kwDODunzps5w_nNw | 6,240 | Dataloader stuck on multiple GPUs | {
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"What type of dataset are you using in this script? `torch.utils.data.Dataset` or `datasets.Dataset`? Please share the `datasets` package version if it's the latter. Otherwise, it's better to move this issue to the `accelerate` repo.",
"Very sorry, I thought I had a repo in `accelerate!`\r\nI will close this issu... | 2023-09-14 05:30:30 | 2023-09-14 23:54:42 | 2023-09-14 23:54:42 | null | NONE | [] | null | null | null | null | ### Describe the bug
I am trying to get CLIP to fine-tuning with my code.
When I tried to run it on multiple GPUs using accelerate, I encountered the following phenomenon.
- Validation dataloader stuck in 2nd epoch only on multi-GPU
Specifically, when the "for inputs in valid_loader:" process is finished, it does... | {
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https://api.github.com/repos/huggingface/datasets/issues/6239 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6239/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6239/comments | https://api.github.com/repos/huggingface/datasets/issues/6239/events | https://github.com/huggingface/datasets/issues/6239 | 1,895,349,382 | I_kwDODunzps5w-LyG | 6,239 | Load local audio data doesn't work | {
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"I think this is the same issue as https://github.com/huggingface/datasets/issues/4776. Maybe installing `ffmpeg` can fix it:\r\n```python\r\nadd-apt-repository -y ppa:savoury1/ffmpeg4\r\napt-get -qq install -y ffmpeg\r\n```\r\n\r\nHowever, the best solution is to use a newer version of `datasets`. In the recent re... | 2023-09-13 22:30:01 | 2023-09-15 14:32:10 | 2023-09-15 14:32:10 | null | NONE | [] | null | null | null | null | ### Describe the bug
I get a RuntimeError from the following code:
```python
audio_dataset = Dataset.from_dict({"audio": ["/kaggle/input/bengaliai-speech/train_mp3s/000005f3362c.mp3"]}).cast_column("audio", Audio())
audio_dataset[0]
```
### Traceback
<details>
```python
RuntimeError ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6238 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6238/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6238/comments | https://api.github.com/repos/huggingface/datasets/issues/6238/events | https://github.com/huggingface/datasets/issues/6238 | 1,895,207,828 | I_kwDODunzps5w9pOU | 6,238 | `dataset.filter` ALWAYS removes the first item from the dataset when using batched=True | {
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"`filter` treats the function's output as a (selection) mask - `True` keeps the sample, and `False` drops it. In your case, `bool(0)` evaluates to `False`, so dropping the first sample is the correct behavior.",
"Oh gosh! 🤦 I totally misunderstood the API! My apologies!"
] | 2023-09-13 20:20:37 | 2023-09-17 07:05:07 | 2023-09-17 07:05:07 | null | NONE | [] | null | null | null | null | ### Describe the bug
If you call batched=True when calling `filter`, the first item is _always_ filtered out, regardless of the filter condition.
### Steps to reproduce the bug
Here's a minimal example:
```python
def filter_batch_always_true(batch, indices):
print("First index being passed into this filte... | {
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"[This](https://huggingface.co/docs/datasets/nlp_process#map) is the most performant way to tokenize a dataset (`batched=True, num_proc=None, return_tensors=\"np\"`) \r\n\r\nIf`tokenizer.is_fast` returns `True`, `num_proc` must be `None/1` to benefit from the fast tokenizers' parallelism (the fast tokenizers are im... | 2023-09-13 06:18:34 | 2023-09-19 21:54:58 | 2023-09-19 21:54:58 | null | NONE | [] | null | null | null | null | I am trying to tokenize a few million documents with multiple workers but the tokenization process is taking forever.
Code snippet:
```
raw_datasets.map(
encode_function,
batched=False,
num_proc=args.preprocessing_num_workers,
load_from_cache_file=not args.ove... | {
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https://api.github.com/repos/huggingface/datasets/issues/6236 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6236/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6236/comments | https://api.github.com/repos/huggingface/datasets/issues/6236/events | https://github.com/huggingface/datasets/issues/6236 | 1,893,648,480 | I_kwDODunzps5w3shg | 6,236 | Support buffer shuffle for to_tf_dataset | {
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"cc @Rocketknight1 ",
"Hey! You can implement this yourself, just:\r\n\r\n1) Create the dataset with `to_tf_dataset()` with `shuffle=False`\r\n2) Add an `unbatch()` at the end (or use batch_size=1)\r\n3) Add a `shuffle()` to the resulting dataset with your desired buffer size\r\n4) Add a `batch()` at the end agai... | 2023-09-13 03:19:44 | 2023-09-18 01:11:21 | null | null | NONE | [] | null | null | null | null | ### Feature request
I'm using to_tf_dataset to convert a large dataset to tf.data.Dataset and use Keras fit to train model.
Currently, to_tf_dataset only supports full size shuffle, which can be very slow on large dataset.
tf.data.Dataset support buffer shuffle by default.
shuffle(
buffer_size, seed=None, r... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6235 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6235/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6235/comments | https://api.github.com/repos/huggingface/datasets/issues/6235/events | https://github.com/huggingface/datasets/issues/6235 | 1,893,337,083 | I_kwDODunzps5w2gf7 | 6,235 | Support multiprocessing for download/extract nestedly | {
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... | open | false | [] | null | [] | 2023-09-12 21:51:08 | 2023-09-12 21:51:08 | null | null | NONE | [] | null | null | null | null | ### Feature request
Current multiprocessing for download/extract is not done nestedly. For example, when processing SlimPajama, there is only 3 processes (for train/test/val), while there are many files inside these 3 folders
```
Downloading data files #0: 0%| | 0/1 [00:00<?, ?obj/s]
Downloading data f... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6229 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6229/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6229/comments | https://api.github.com/repos/huggingface/datasets/issues/6229/events | https://github.com/huggingface/datasets/issues/6229 | 1,889,050,954 | I_kwDODunzps5wmKFK | 6,229 | Apply inference on all images in the dataset | {
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"From what I see, `MMSegInferencer` supports NumPy arrays, so replace the line `image_path = example['image']` with `image_path = np.array(example['image'])` to fix the issue (`example[\"image\"]` is a `PIL.Image` object). ",
"> From what I see, `MMSegInferencer` supports NumPy arrays, so replace the line `image_... | 2023-09-10 08:36:12 | 2023-09-20 16:11:53 | 2023-09-20 16:11:52 | null | NONE | [] | null | null | null | null | ### Describe the bug
```
---------------------------------------------------------------------------
NotImplementedError Traceback (most recent call last)
Cell In[14], line 11
9 for idx, example in enumerate(dataset['train']):
10 image_path = example['image']
---> 11 mask... | {
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https://api.github.com/repos/huggingface/datasets/issues/6225 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6225/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6225/comments | https://api.github.com/repos/huggingface/datasets/issues/6225/events | https://github.com/huggingface/datasets/issues/6225 | 1,887,054,320 | I_kwDODunzps5weinw | 6,225 | Conversion from RGB to BGR in Object Detection tutorial | {
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"Good catch!"
] | 2023-09-08 06:49:19 | 2023-09-08 17:52:18 | 2023-09-08 17:52:17 | null | NONE | [] | null | null | null | null | The [tutorial](https://huggingface.co/docs/datasets/main/en/object_detection) mentions the necessity of conversion the input image from BGR to RGB
> albumentations expects the image to be in BGR format, not RGB, so you’ll have to convert the image before applying the transform.
[Link to tutorial](https://github.c... | {
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https://api.github.com/repos/huggingface/datasets/issues/6221 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6221/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6221/comments | https://api.github.com/repos/huggingface/datasets/issues/6221/events | https://github.com/huggingface/datasets/issues/6221 | 1,884,324,631 | I_kwDODunzps5wUIMX | 6,221 | Support saving datasets with custom formatting | {
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"Not a fan of pickling this sort of stuff either.\r\nNote that users can also share the code in their dataset documentation."
] | 2023-09-06 16:03:32 | 2023-09-06 18:32:07 | null | null | COLLABORATOR | [] | null | null | null | null | Requested in https://discuss.huggingface.co/t/using-set-transform-on-a-dataset-leads-to-an-exception/53036.
I am not sure if supporting this is the best idea for the following reasons:
>For this to work, we would have to pickle a custom transform, which means the transform and the objects it references need to be... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6217 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6217/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6217/comments | https://api.github.com/repos/huggingface/datasets/issues/6217/events | https://github.com/huggingface/datasets/issues/6217 | 1,883,614,607 | I_kwDODunzps5wRa2P | 6,217 | `Dataset.to_dict()` ignore `decode=True` with Image feature | {
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"We need to implement the `Image` type as a PyArrow extension type (to allow us to override the Python conversion) for this to work as expected. For now, it's best to use your approach indeed."
] | 2023-09-06 09:26:16 | 2023-09-08 17:08:52 | null | null | MEMBER | [] | null | null | null | null | ### Describe the bug
`Dataset.to_dict` seems to ignore the decoding instruction passed in features.
### Steps to reproduce the bug
```python
import datasets
import numpy as np
from PIL import Image
img = np.random.randint(0, 256, (5, 5, 3), dtype=np.uint8)
img = Image.fromarray(img)
features = datasets.Fea... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6214 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6214/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6214/comments | https://api.github.com/repos/huggingface/datasets/issues/6214/events | https://github.com/huggingface/datasets/issues/6214 | 1,881,736,469 | I_kwDODunzps5wKQUV | 6,214 | Unpin fsspec < 2023.9.0 | {
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- #6210
Related to issue:
- #6209
After investigation, I think the root issue is related to the new glob behavior with double asterisk `**` they have introduced in:
- https://github.com/fsspec/filesystem_spec/pull/1329 | {
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https://api.github.com/repos/huggingface/datasets/issues/6212 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6212/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6212/comments | https://api.github.com/repos/huggingface/datasets/issues/6212/events | https://github.com/huggingface/datasets/issues/6212 | 1,880,399,516 | I_kwDODunzps5wFJ6c | 6,212 | Tilde (~) is not supported for data_files | {
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"Hi @exs-avianello, is it really needed? Note you can alternatively use `pathlib.Path` among others as it follows:\r\n\r\n```python\r\nimport datasets\r\nfrom pathlib import Path\r\n\r\n# save a parquet file at ~/path/to/data.parquet\r\n\r\ndata_files = Path.home() / \"path/to/data.parquet\"\r\ndataset = datasets.l... | 2023-09-04 14:23:49 | 2023-09-05 08:28:39 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
Attempting to `load_dataset` from a path starting with `~` (as a shorthand for the user's home directory) seems not to be fully working - at least as far as the `parquet` dataset builder is concerned.
(the same file can be loaded correctly if providing its absolute path instead)
I think that... | null | {
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See: https://github.com/huggingface/datasets/actions/runs/6069947111/job/16465138041
```
=========================== short test summary info ============================
FAILED tests/test_load.py::ModuleFactoryTest::test_LocalDatasetModuleFactoryWithoutScript_with_data_dir - ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6207 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6207/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6207/comments | https://api.github.com/repos/huggingface/datasets/issues/6207/events | https://github.com/huggingface/datasets/issues/6207 | 1,879,555,234 | I_kwDODunzps5wB7yi | 6,207 | No-script datasets with ZIP files do not load | {
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"followers_url": "https://api.g... | MEMBER | [] | null | null | null | null | While investigating an issue on a Hub dataset, I have discovered the no-script datasets containing ZIP files do not load.
For example, that no-script dataset containing ZIP files, raises NonMatchingSplitsSizesError:
```python
In [2]: ds = load_dataset("sidovic/LearningQ-qg")
NonMatchingSplitsSizesError: [
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https://api.github.com/repos/huggingface/datasets/issues/6206 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6206/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6206/comments | https://api.github.com/repos/huggingface/datasets/issues/6206/events | https://github.com/huggingface/datasets/issues/6206 | 1,879,473,745 | I_kwDODunzps5wBn5R | 6,206 | When calling load_dataset, raise error: pyarrow.lib.ArrowInvalid: offset overflow while concatenating arrays | {
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"I solved the problem by modifying the \"self DEFAULT_WRITER_BATCH_SIZE\" in \"class MyDataset (datasets. GeneratorBasedBuilder) : __init__\"",
"same problem, and this solution worked me also - you can set this var by setting the keyword argument `writer_batch_size=...` in `load_dataset(...,writer_batch_size=...)... | 2023-09-04 04:14:00 | 2024-04-17 15:53:29 | 2023-09-04 06:05:49 | null | NONE | [] | null | null | null | null | ### Describe the bug
When calling load_dataset, raise error
```
Traceback (most recent call last):
File "/home/aihao/miniconda3/envs/torch/lib/python3.11/site-packages/datasets/builder.py", line 1694, in _pre
pare_split_single ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6203 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6203/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6203/comments | https://api.github.com/repos/huggingface/datasets/issues/6203/events | https://github.com/huggingface/datasets/issues/6203 | 1,877,491,602 | I_kwDODunzps5v6D-S | 6,203 | Support loading from a DVC remote repository | {
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"(cross-posting from the linked DVC issue)\r\n\r\nI think this should already work out of the box with the current `datasets` and `dvc.api` releases by passing the correct `storage_options` into the datasets calls. `storage_options` is essentially just the kwargs dict that gets passed to the fsspec fs constructor.\... | 2023-09-01 14:04:52 | 2023-09-15 15:11:27 | 2023-09-15 15:11:27 | null | NONE | [] | null | null | null | null | ### Feature request
Adding support for loading a file from a DVC repository, tracked remotely on a SCM.
### Motivation
DVC is a popular version control system to version and manage datasets. The files are stored on a remote object storage platform, but they are tracked using Git. Integration with DVC is possible thr... | {
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https://api.github.com/repos/huggingface/datasets/issues/6202 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6202/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6202/comments | https://api.github.com/repos/huggingface/datasets/issues/6202/events | https://github.com/huggingface/datasets/issues/6202 | 1,876,630,351 | I_kwDODunzps5v2xtP | 6,202 | avoid downgrading jax version | {
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"https://github.com/huggingface/datasets/blob/main/setup.py#L236\r\nCurrently has the highest version at 0.3.25; Not sure if there is any reason for this, other than that was the tested version?"
] | 2023-09-01 02:57:57 | 2023-10-12 16:28:59 | 2023-10-12 16:28:59 | null | NONE | [] | null | null | null | null | ### Feature request
Whenever I `pip install datasets[jax]` it downgrades jax to version 0.3.25. I seem to be able to install this library first then upgrade jax back to version 0.4.13.
### Motivation
It would be nice to not overwrite currently installed version of jax if possible.
### Your contribution
I... | {
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https://api.github.com/repos/huggingface/datasets/issues/6199 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6199/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6199/comments | https://api.github.com/repos/huggingface/datasets/issues/6199/events | https://github.com/huggingface/datasets/issues/6199 | 1,875,165,185 | I_kwDODunzps5vxMAB | 6,199 | Use load_dataset for local json files, but it not works | {
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"Hugging Face's datasets library may prioritize remote configurations. Make sure there are no conflicting configurations causing the library to prefer downloading data\r\nMay be try debugging\r\nraw_datasets = load_dataset('json', data_files=data_files)\r\nprint(raw_datasets)\r\n",
"It doesn't download them but ... | 2023-08-31 09:42:34 | 2023-08-31 19:05:07 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
when I use load_dataset to load my local datasets，it always goes to Hugging Face to download the data instead of loading the local dataset.
### Steps to reproduce the bug
`raw_datasets = load_dataset(
‘json’,
data_files=data_files)`
### Expected behavior
![image](https://gi... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6197 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6197/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6197/comments | https://api.github.com/repos/huggingface/datasets/issues/6197/events | https://github.com/huggingface/datasets/issues/6197 | 1,875,078,155 | I_kwDODunzps5vw2wL | 6,197 | ValueError: 'index=True' is only valid when 'orient' is 'split', 'table', 'index', or 'columns' | {
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"Thanks for reporting. We are investigating it.",
"This issue is caused by latest `pandas` release 2.1.0 (released yesterday Aug 30).\r\n\r\nSee: https://github.com/huggingface/datasets/actions/runs/6035484010/job/16375932085?pr=6198\r\n",
"People using previous releases of `datasets` should pin `pandas` in the... | 2023-08-31 08:51:50 | 2023-09-01 10:35:10 | 2023-08-31 10:24:40 | {
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"followers_url": "https://api.g... | NONE | [] | null | null | null | null | ### Describe the bug
Saving a dataset `.to_json()` fails with a `ValueError` since the latest `pandas` [release](https://pandas.pydata.org/docs/dev/whatsnew/v2.1.0.html) (`2.1.0`)
In their latest release we have:
> Improved error handling when using [DataFrame.to_json()](https://pandas.pydata.org/docs/dev/refere... | {
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https://api.github.com/repos/huggingface/datasets/issues/6196 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6196/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6196/comments | https://api.github.com/repos/huggingface/datasets/issues/6196/events | https://github.com/huggingface/datasets/issues/6196 | 1,875,070,972 | I_kwDODunzps5vw0_8 | 6,196 | Split order is not preserved | {
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For example, consider a no-script dataset with configs:
```yaml
configs:
- config_name: default
data_files:
- split: train
path: train.csv
- split: test
path: test.csv
```
- Note the defined split order is [train, test]
On... | {
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"realized that need to pass the path at `cache_file_name` like\r\n\r\n```python\r\ntokenized_datasets = raw_datasets[\"train\"].map(\r\n tokenize_function,\r\n batched=True,\r\n num_proc=data_args.preprocessing_num_workers,\r\n remove_columns=[text_column_... | 2023-08-30 18:44:54 | 2023-11-03 10:14:21 | 2023-08-30 19:00:45 | null | NONE | [] | null | null | null | null | ### Describe the bug
I have run the official example of MLM like:
```bash
python run_mlm.py \
--model_name_or_path roberta-base \
--dataset_name togethercomputer/RedPajama-Data-1T \
--dataset_config_name arxiv \
--per_device_train_batch_size 10 \
--preprocessing_num_workers 20 ... | {
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https://api.github.com/repos/huggingface/datasets/issues/6194 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6194/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6194/comments | https://api.github.com/repos/huggingface/datasets/issues/6194/events | https://github.com/huggingface/datasets/issues/6194 | 1,872,598,223 | I_kwDODunzps5vnZTP | 6,194 | Support custom fingerprinting with `Dataset.from_generator` | {
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"The `fingerprint` parameter serves a slightly different purpose - we use it to inject a new fingerprint after transforming a `Dataset` (computed from the previous fingerprint + transform + transform args), e.g., to be able to compute the cache file for a transform. There is no concept of `fingerprint` before a `Da... | 2023-08-29 22:43:13 | 2024-12-22 01:14:39 | null | null | NONE | [] | null | null | null | null | ### Feature request
When using `Dataset.from_generator`, the generator is hashed when building the fingerprint. Similar to `.map`, it would be interesting to let the user bypass this hashing by accepting a `fingerprint` argument to `.from_generator`.
### Motivation
Using the `.from_generator` constructor with ... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6193 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6193/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6193/comments | https://api.github.com/repos/huggingface/datasets/issues/6193/events | https://github.com/huggingface/datasets/issues/6193 | 1,872,285,153 | I_kwDODunzps5vmM3h | 6,193 | Dataset loading script method does not work with .pyc file | {
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"Before dynamically loading `.py` scripts with `importlib.import_module`, we also parse their contents to check imports, which is tricky to implement for binary `.pyc` files (requires parsing bytecode), so I don't think this is something we want to support (unless more users request it ofc) as this use case is a bi... | 2023-08-29 19:35:06 | 2023-08-31 19:47:29 | null | null | NONE | [] | null | null | null | null | ### Describe the bug
The huggingface dataset library specifically looks for ‘.py’ file while loading the dataset using loading script approach and it does not work with ‘.pyc’ file.
While deploying in production, it becomes an issue when we are restricted to use only .pyc files. Is there any work around for this ?
#... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/6190 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6190/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6190/comments | https://api.github.com/repos/huggingface/datasets/issues/6190/events | https://github.com/huggingface/datasets/issues/6190 | 1,871,582,175 | I_kwDODunzps5vjhPf | 6,190 | `Invalid user token` even when correct user token is passed! | {
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"This is because `download_config.use_auth_token` is deprecated - you should use `download_config.token` instead",
"Works! Thanks for the quick fix! <3"
] | 2023-08-29 12:37:03 | 2023-08-29 13:01:10 | 2023-08-29 13:01:09 | null | NONE | [] | null | null | null | null | ### Describe the bug
I'm working on a dataset which comprises other datasets on the hub.
URL: https://huggingface.co/datasets/open-asr-leaderboard/datasets-test-only
Note: Some of the sub-datasets in this metadataset require explicit access.
All the other datasets work fine, except, `common_voice`.
### Steps t... | {
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