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https://github.com/huggingface/datasets/pull/6708 | 6,708 | Release: 2.18.0 | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-03-01T20:52:17Z | 2024-03-01T21:03:01Z | 2024-03-01T20:56:50Z | MEMBER | false | {
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https://github.com/huggingface/datasets/pull/6707 | 6,707 | Silence ruff deprecation messages | {
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https://github.com/huggingface/datasets/pull/6706 | 6,706 | Update ruff | {
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https://github.com/huggingface/datasets/pull/6705 | 6,705 | Fix data_files when passing data_dir | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-03-01T16:38:53Z | 2024-03-01T18:59:06Z | 2024-03-01T18:52:49Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This code should not return empty data files
```python
from datasets import load_dataset_builder
revision = "3d406e70bc21c3ca92a9a229b4c6fc3ed88279fd"
b = load_dataset_builder("bigcode/the-stack-v2-dedup", data_dir="data/Dockerfile", revision=revision)
print(b.config.data_files)
```
Previously it would ret... | {
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https://github.com/huggingface/datasets/pull/6704 | 6,704 | Improve default patterns resolution | {
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"Awesome !\r\n\r\nNote that it can still create duplicates if a path matches several dir... | 2024-03-01T16:31:25Z | 2024-04-23T09:43:09Z | 2024-03-15T15:22:03Z | COLLABORATOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Separate the default patterns that match directories from the ones matching files and ensure directories are checked first (reverts the change from https://github.com/huggingface/datasets/pull/6244, which merged these patterns). Also, ensure that the glob patterns do not overlap to avoid duplicates in the result.
A... | {
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https://github.com/huggingface/datasets/issues/6703 | 6,703 | Unable to load dataset that was saved with `save_to_disk` | {
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"`save_to_disk` uses a special serialization that can only be read using `load_from_disk`.\r\n\r\nContrary to `load_dataset`, `load_from_disk` directly loads Arrow files and uses the dataset directory as cache.\r\n\r\nOn the other hand `load_dataset` does a conversion step to get Arrow files from the raw data files... | 2024-03-01T11:59:56Z | 2024-03-04T13:46:20Z | 2024-03-04T13:46:20Z | NONE | null | null | ### Describe the bug
I get the following error message: You are trying to load a dataset that was saved using `save_to_disk`. Please use `load_from_disk` instead.
### Steps to reproduce the bug
1. Save a dataset with `save_to_disk`
2. Try to load it with `load_datasets`
### Expected behavior
I am ab... | {
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https://github.com/huggingface/datasets/issues/6702 | 6,702 | Push samples to dataset on hub without having the dataset locally | {
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"Hi ! For now I would recommend creating a new Parquet file using `dataset_new.to_parquet()` and upload it to HF using `huggingface_hub` every time you get a new batch of data. You can name the Parquet files `0000.parquet`, `0001.parquet`, etc.\r\n\r\nThough maybe make sure to not upload one file per sample since t... | 2024-02-29T19:17:12Z | 2024-03-08T21:08:38Z | 2024-03-08T21:08:38Z | NONE | null | null | ### Feature request
Say I have the following code:
```
from datasets import Dataset
import pandas as pd
new_data = {
"column_1": ["value1", "value2"],
"column_2": ["value3", "value4"],
}
df_new = pd.DataFrame(new_data)
dataset_new = Dataset.from_pandas(df_new)
# add these samples to a remote datase... | {
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https://github.com/huggingface/datasets/pull/6701 | 6,701 | Base parquet batch_size on parquet row group size | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-02-29T14:53:01Z | 2024-02-29T15:15:18Z | 2024-02-29T15:08:55Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This allows to stream datasets like [Major-TOM/Core-S2L2A](https://huggingface.co/datasets/Major-TOM/Core-S2L2A) which have row groups with few rows (one row is ~10MB). Previously the cold start would take a lot of time and OOM because it would download many row groups before yielding the first example.
I tried on O... | {
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https://github.com/huggingface/datasets/issues/6700 | 6,700 | remove_columns is not in-place but the doc shows it is in-place | {
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"Good catch! I've opened a PR with a fix in the `transformers` repo.",
"@mariosasko Thanks!\r\n\r\nWill the doc of `datasets` be updated?\r\n\r\nI find some possible mistakes in doc about whether `remove_columns` is in-place.\r\n1. [You can also remove a column using map() with remove_columns but the present meth... | 2024-02-28T12:36:22Z | 2024-04-02T17:15:28Z | 2024-04-02T17:15:28Z | NONE | null | null | ### Describe the bug
The doc of `datasets` v2.17.0/v2.17.1 shows that `remove_columns` is in-place. [link](https://huggingface.co/docs/datasets/v2.17.1/en/package_reference/main_classes#datasets.DatasetDict.remove_columns)
In the text classification example of transformers v4.38.1, the columns are not removed.
h... | {
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https://github.com/huggingface/datasets/issues/6699 | 6,699 | `Dataset` unexpected changed dict data and may cause error | {
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"If `test.jsonl` contains more lines like:\r\n```\r\n{\"id\": 0, \"indexs\": {\"-1\": [0, 10]}}\r\n{\"id\": 1, \"indexs\": {\"-1\": [0, 10]}}\r\n{\"id\": 2, \"indexs\": {\"-2\": [0, 10]}}\r\n...\r\n{\"id\": n, \"indexs\": {\"-9999\": [0, 10]}}\r\n```\r\n\r\n`Dataset.from_json` will just raise an error:\r\n```\r\nAn... | 2024-02-28T05:30:10Z | 2024-02-28T19:14:36Z | null | NONE | null | null | ### Describe the bug
Will unexpected get keys with `None` value in the parsed json dict.
### Steps to reproduce the bug
```jsonl test.jsonl
{"id": 0, "indexs": {"-1": [0, 10]}}
{"id": 1, "indexs": {"-1": [0, 10]}}
```
```python
dataset = Dataset.from_json('.test.jsonl')
print(dataset[0])
```
Result:
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https://github.com/huggingface/datasets/pull/6698 | 6,698 | Faster `xlistdir` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6698). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"CI failure is unrelated to the changes.",
"<details>\n<summary>Show benchmarks</summa... | 2024-02-27T22:55:08Z | 2024-02-27T23:44:49Z | 2024-02-27T23:38:14Z | COLLABORATOR | false | {
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https://github.com/huggingface/datasets/issues/6697 | 6,697 | Unable to Load Dataset in Kaggle | {
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"FWIW, I run `load_dataset(\"llm-blender/mix-instruct\")` and it ran successfully.\r\nCan you clear your cache and try again?\r\n\r\n\r\n### Environment Info\r\n\r\n- `datasets` version: 2.17.0\r\n- Platform: Linux-6.2.6-76060206-generic-x86_64-with-glibc2.35\r\n- Python version: 3.9.13\r\n- `huggingface_hub` versi... | 2024-02-27T18:19:34Z | 2024-02-29T17:32:42Z | 2024-02-29T17:32:41Z | NONE | null | null | ### Describe the bug
Having installed the latest versions of transformers==4.38.1 and datasets==2.17.1 Unable to load the dataset in a kaggle notebook.
Get this Error:
```
---------------------------------------------------------------------------
ValueError Traceback (most recen... | {
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https://github.com/huggingface/datasets/pull/6696 | 6,696 | Make JSON builder support an array of strings | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6696). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-02-26T13:18:31Z | 2024-02-28T06:45:23Z | 2024-02-28T06:39:12Z | MEMBER | false | {
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Fix #6695. | {
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https://github.com/huggingface/datasets/issues/6695 | 6,695 | Support JSON file with an array of strings | {
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"https://huggingface.co/datasets/CausalLM/Refined-Anime-Text/discussions/1 has been fixed, but how can we check if there are other datasets with the same error, in datasets-server's database? I don't know how to get the list of erroneous cache entries, since we only copied `Error code: JobManagerCrashedError`, bu... | 2024-02-26T12:35:11Z | 2024-03-08T14:16:25Z | 2024-02-28T06:39:13Z | MEMBER | null | null | Support loading a dataset from a JSON file with an array of strings.
See: https://huggingface.co/datasets/CausalLM/Refined-Anime-Text/discussions/1 | {
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https://github.com/huggingface/datasets/pull/6694 | 6,694 | __add__ for Dataset, IterableDataset | {
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"Hi! You can find a reason why we are against this feature in https://github.com/huggingface/datasets/issues/3449. \r\n\r\n> It's too cumbersome to write this command every time we perform a dataset merging operation\r\n\r\nExplicit is better than implicit, so this isn't a good enough reason. \r\n\r\nThanks for the... | 2024-02-26T01:46:55Z | 2024-02-29T16:52:58Z | null | NONE | false | {
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} | It's too cumbersome to write this command every time we perform a dataset merging operation. ```pythonfrom datasets import concatenate_datasets``` We have added a simple `__add__` magic method to each class using `concatenate_datasets.`
```python
from datasets import load_dataset
bookcorpus = load_dataset("bookc... | null | {
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https://github.com/huggingface/datasets/pull/6693 | 6,693 | Update the print message for chunked_dataset in process.mdx | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6693). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-02-25T18:37:07Z | 2024-02-25T19:57:12Z | 2024-02-25T19:51:02Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/6692 | 6,692 | Enhancement: Enable loading TSV files in load_dataset() | {
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"Hi @harsh1504660,\r\n\r\nThanks for your work, but this functionality already exists. See my comment in the corresponding issue: https://github.com/huggingface/datasets/issues/6691#issuecomment-1963449923\r\n\r\nNext time you would like to contribute, I would suggest you take on an issue that is previously validat... | 2024-02-24T11:38:59Z | 2024-02-26T15:33:50Z | 2024-02-26T07:14:03Z | NONE | false | {
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https://github.com/huggingface/datasets/issues/6691 | 6,691 | load_dataset() does not support tsv | {
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"#self-assign",
"Hi @dipsivenkatesh,\r\n\r\nPlease note that this functionality is already implemented. Our CSV builder uses `pandas.read_csv` under the hood, and you can pass the parameter `delimiter=\"\\t\"` to read TSV files.\r\n\r\nSee the list of CSV config parameters in our docs: https://huggingface.co/docs... | 2024-02-24T05:56:04Z | 2024-02-26T07:15:07Z | 2024-02-26T07:09:35Z | NONE | null | null | ### Feature request
the load_dataset() for local functions support file types like csv, json etc but not of type tsv (tab separated values).
### Motivation
cant easily load files of type tsv, have to convert them to another type like csv then load
### Your contribution
Can try by raising a PR with a little help, c... | {
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https://github.com/huggingface/datasets/issues/6690 | 6,690 | Add function to convert a script-dataset to Parquet | {
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https://github.com/huggingface/datasets/issues/6689 | 6,689 | .load_dataset() method defaults to zstandard | {
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"The dataset is made of JSON files compressed using zstandard, as you can see here: https://huggingface.co/datasets/cerebras/SlimPajama-627B/tree/main/test/chunk1\r\n\r\nThat's why it asks for zstandard to be installed.\r\n\r\nThough I'm intrigued that you manage to load the dataset without zstandard installed. May... | 2024-02-22T17:39:27Z | 2024-03-07T14:54:16Z | 2024-03-07T14:54:15Z | NONE | null | null | ### Describe the bug
Regardless of what method I use, datasets defaults to zstandard for unpacking my datasets.
This is poor behavior, because not only is zstandard not a dependency in the huggingface package (and therefore, your dataset loading will be interrupted while it asks you to install the package), but it ... | {
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https://github.com/huggingface/datasets/issues/6688 | 6,688 | Tensor type (e.g. from `return_tensors`) ignored in map | {
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"Hi, this is expected behavior since all the tensors are converted to Arrow data (the storage type behind a Dataset).\r\n\r\nTo get pytorch tensors back, you can set the dataset format to \"torch\":\r\n\r\n```python\r\nds = ds.with_format(\"torch\")\r\n```",
"Thanks. Just one additional question. During the pipel... | 2024-02-22T09:27:57Z | 2024-02-22T15:56:21Z | null | NONE | null | null | ### Describe the bug
I don't know if it is a bug or an expected behavior, but the tensor type seems to be ignored after applying map. For example, mapping over to tokenize text with a transformers' tokenizer always returns lists and it ignore the `return_tensors` argument.
If this is an expected behaviour (e.g., fo... | null | {
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https://github.com/huggingface/datasets/pull/6687 | 6,687 | fsspec: support fsspec>=2023.12.0 glob changes | {
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"Looking into the CI failure, this PR is incompatible with `huggingface-hub>=0.20.0`. It... | 2024-02-22T08:59:32Z | 2024-03-04T12:59:42Z | 2024-02-29T15:12:17Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | - adds support for the `fs.glob` changes introduced in `fsspec==2023.12.0` and unpins the current upper bound
Should close #6644
Should close #6645
The `test_data_files` glob/pattern tests pass for me in:
- `fsspec==2023.10.0` (the pinned max version in datasets `main`)
- `fsspec==2023.12.0` (#6644)
- `fsspec... | {
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https://github.com/huggingface/datasets/issues/6686 | 6,686 | Question: Is there any way for uploading a large image dataset? | {
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"```\r\nimport pandas as pd\r\nfrom datasets import Dataset, Image\r\n\r\n# Read the CSV file\r\ndata = pd.read_csv(\"XXXX.csv\")\r\n\r\n# Create a Hugging Face Dataset\r\ndataset = Dataset.from_pandas(data)\r\ndataset = dataset.cast_column(\"file_name\", Image())\r\n\r\n# Upload to Hugging Face Hub (make sure auth... | 2024-02-21T22:07:21Z | 2024-05-02T03:44:59Z | null | NONE | null | null | I am uploading an image dataset like this:
```
dataset = load_dataset(
"json",
data_files={"train": "data/custom_dataset/train.json", "validation": "data/custom_dataset/val.json"},
)
dataset = dataset.cast_column("images", Sequence(Image()))
dataset.push_to_hub("StanfordAIMI/custom_dataset", max_shard_si... | null | {
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https://github.com/huggingface/datasets/pull/6685 | 6,685 | Updated Quickstart Notebook link | {
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https://github.com/huggingface/datasets/pull/6684 | 6,684 | Improve error message for gated datasets on load | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6684). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
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https://github.com/huggingface/datasets/pull/6683 | 6,683 | Fix imagefolder dataset url | {
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https://github.com/huggingface/datasets/pull/6682 | 6,682 | Update GitHub Actions to Node 20 | {
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Fix #6679. | {
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https://github.com/huggingface/datasets/pull/6681 | 6,681 | Update release instructions | {
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https://github.com/huggingface/datasets/pull/6680 | 6,680 | Set dev version | {
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https://github.com/huggingface/datasets/issues/6679 | 6,679 | Node.js 16 GitHub Actions are deprecated | {
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We should update them to Node 20.
See warnings in our CI, e.g.: https://github.com/huggingface/datasets/actions/runs/7957295009?pr=6678
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https://github.com/huggingface/datasets/pull/6678 | 6,678 | Release: 2.17.1 | {
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https://github.com/huggingface/datasets/pull/6677 | 6,677 | Pass through information about location of cache directory. | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-02-18T23:48:57Z | 2024-02-28T18:57:39Z | 2024-02-28T18:51:15Z | CONTRIBUTOR | false | {
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Pass download config in as an arg too. | {
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https://github.com/huggingface/datasets/issues/6676 | 6,676 | Can't Read List of JSON Files Properly | {
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"Found the issue, if there are other files in the directory, it gets caught into this `*` so essentially it should be `*.json`. Could we possibly to check for list of files to make sure the pattern matches json files and raise error if not?",
"I don't think we should filter for `*.json` as this might silently rem... | 2024-02-17T22:58:15Z | 2024-03-02T20:47:22Z | null | NONE | null | null | ### Describe the bug
Trying to read a bunch of JSON files into Dataset class but default approach doesn't work. I don't get why it works when I read it one by one but not when I pass as a list :man_shrugging:
The code fails with
```
ArrowInvalid: JSON parse error: Invalid value. in row 0
UnicodeDecodeError... | null | {
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https://github.com/huggingface/datasets/issues/6675 | 6,675 | Allow image model (color conversion) to be specified as part of datasets Image() decode | {
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"It would be a great addition indeed :)\r\n\r\nThis can be implemented the same way we have `sampling_rate` for Audio(): we just add a new parameter to the Image() type and take this parameter into account in `Image.decode_example`\r\n\r\nEDIT: adding an example of how it can be used:\r\n\r\n```python\r\nds = ds.ca... | 2024-02-16T23:43:20Z | 2024-03-18T15:41:34Z | 2024-03-18T15:41:34Z | NONE | null | null | ### Feature request
Typical torchvision / torch Datasets in image applications apply color conversion in the Dataset portion of the code as part of image decode, separately from the image transform stack. This is true for PIL.Image where convert is usually called in dataset, for native torchvision https://pytorch.or... | {
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https://github.com/huggingface/datasets/issues/6674 | 6,674 | Depprcated Overview.ipynb Link to new Quickstart Notebook invalid | {
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"Good catch! Feel free to open a PR to fix the link."
] | 2024-02-16T22:51:35Z | 2024-02-25T18:48:09Z | 2024-02-25T18:48:09Z | CONTRIBUTOR | null | null | ### Describe the bug
For the dreprecated notebook found [here](https://github.com/huggingface/datasets/blob/main/notebooks/Overview.ipynb). The link to the new notebook is broken.
### Steps to reproduce the bug
Click the [Quickstart notebook](https://github.com/huggingface/notebooks/blob/main/datasets_doc/quicksta... | {
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https://github.com/huggingface/datasets/issues/6673 | 6,673 | IterableDataset `set_epoch` is ignored when DataLoader `persistent_workers=True` | {
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When persistent workers are enabled, the epoch that's set via the IterableDataset instance held by the training process is ignored by the workers as they are disconnected across processes.
PyTorch samplers for non-iterable datasets have a mechanism to sync this, datasets.IterableDataset does ... | {
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https://github.com/huggingface/datasets/pull/6672 | 6,672 | Remove deprecated verbose parameter from CSV builder | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6672). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"I am merging this PR (so that it is included in the next patch release) to remove the d... | 2024-02-16T14:26:21Z | 2024-02-19T09:26:34Z | 2024-02-19T09:20:22Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Remove deprecated `verbose` parameter from CSV builder.
Note that the `verbose` parameter is deprecated since pandas 2.2.0. See:
- https://github.com/pandas-dev/pandas/pull/56556
- https://github.com/pandas-dev/pandas/pull/57450
Fix #6671. | {
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https://github.com/huggingface/datasets/issues/6671 | 6,671 | CSV builder raises deprecation warning on verbose parameter | {
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```
FutureWarning: The 'verbose' keyword in pd.read_csv is deprecated and will be removed in a future version.
```
See:
- https://github.com/pandas-dev/pandas/pull/56556
- https://github.com/pandas-dev/pandas/pull/57450 | {
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https://github.com/huggingface/datasets/issues/6670 | 6,670 | ValueError | {
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"Hi @prashanth19bolukonda,\r\n\r\nYou have to restart the notebook runtime session after the installation of `datasets`.\r\n\r\nDuplicate of:\r\n- #5923",
"Thank you soo much\r\n\r\nOn Fri, Feb 16, 2024 at 8:14 PM Albert Villanova del Moral <\r\n***@***.***> wrote:\r\n\r\n> Closed #6670 <https://github.com/huggin... | 2024-02-16T11:05:17Z | 2024-02-17T04:26:34Z | 2024-02-16T14:43:53Z | NONE | null | null | ### Describe the bug
ValueError Traceback (most recent call last)
[<ipython-input-11-9b99bc80ec23>](https://localhost:8080/#) in <cell line: 11>()
9 import numpy as np
10 import matplotlib.pyplot as plt
---> 11 from datasets import DatasetDict, Dataset
12 from transf... | {
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https://github.com/huggingface/datasets/issues/6669 | 6,669 | attribute error when writing trainer.train() | {
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"Hi! Kaggle notebooks use an outdated version of `datasets`, so you should update the `datasets` installation (with `!pip install -U datasets`) to avoid the error.",
"Thank you for your response\r\n\r\nOn Thu, Feb 29, 2024 at 10:55 PM Mario Šaško ***@***.***>\r\nwrote:\r\n\r\n> Closed #6669 <https://github.com/hu... | 2024-02-16T10:40:49Z | 2024-03-01T10:58:00Z | 2024-02-29T17:25:17Z | NONE | null | null | ### Describe the bug
AttributeError Traceback (most recent call last)
Cell In[39], line 2
1 # Start the training process
----> 2 trainer.train()
File /opt/conda/lib/python3.10/site-packages/transformers/trainer.py:1539, in Trainer.train(self, resume_from_checkpoint, trial, ignore... | {
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https://github.com/huggingface/datasets/issues/6668 | 6,668 | Chapter 6 - Issue Loading `cnn_dailymail` dataset | {
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"Here's a snippet that works with the current `datasets`:\n\n```python\ndataset = load_dataset(\"cnn_dailymail\", \"3.0.0\")\n```\n\n(Drop the `version=` part.)"
] | 2024-02-16T04:40:56Z | 2025-10-24T18:49:28Z | null | NONE | null | null | ### Describe the bug
So I am getting this bug when I try to run cell 4 of the Chapter 6 notebook code:
`dataset = load_dataset("ccdv/cnn_dailymail", version="3.0.0")`
Error Message:
```
---------------------------------------------------------------------------
ValueError Tracebac... | null | {
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https://github.com/huggingface/datasets/issues/6667 | 6,667 | Default config for squad is incorrect | {
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"you can try: pip install datasets==2.16.1"
] | 2024-02-16T02:36:55Z | 2024-02-23T09:10:00Z | null | NONE | null | null | ### Describe the bug
If you download Squad, it will download the plain_text version, but the config still specifies "default", so if you set the offline mode the cache will try to look it up according to the config_id which is "default" and this will say;
ValueError: Couldn't find cache for squad for config 'default'... | null | {
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https://github.com/huggingface/datasets/pull/6665 | 6,665 | Allow SplitDict setitem to replace existing SplitInfo | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-02-15T10:17:08Z | 2024-03-01T16:02:46Z | 2024-03-01T15:56:38Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fix this code provided by @clefourrier
```python
import datasets
import os
token = os.getenv("TOKEN")
results = datasets.load_dataset("gaia-benchmark/results_public", "2023", token=token, download_mode=datasets.DownloadMode.FORCE_REDOWNLOAD)
results["test"] = datasets.Dataset.from_list([row for row in resu... | {
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https://github.com/huggingface/datasets/pull/6664 | 6,664 | Revert the changes in `arrow_writer.py` from #6636 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6664). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"> Hi! We can't revert this as the \"reverted\" implementation has quadratic time comple... | 2024-02-15T01:47:33Z | 2024-02-16T14:02:39Z | 2024-02-16T02:31:11Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | #6636 broke `write_examples_on_file` and `write_batch` from the class `ArrowWriter`. I'm undoing these changes. See #6663.
Note the current implementation doesn't keep the order of the columns and the schema, thus setting a wrong schema for each column. | {
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https://github.com/huggingface/datasets/issues/6663 | 6,663 | `write_examples_on_file` and `write_batch` are broken in `ArrowWriter` | {
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"Thanks for reporting! I've left some comments on the PR on how to fix this recent change rather than reverting it.",
"> Thanks for reporting! I've left some comments on the PR on how to fix this recent change rather than reverting it.\r\n\r\nI feel that'd be good, but it'd be great to release a hotfix ASAP (a re... | 2024-02-15T01:43:27Z | 2024-02-16T09:25:00Z | 2024-02-16T09:25:00Z | CONTRIBUTOR | null | null | ### Describe the bug
`write_examples_on_file` and `write_batch` are broken in `ArrowWriter` since #6636. The order between the columns and the schema is not preserved anymore. So these functions don't work anymore unless the order happens to align well.
### Steps to reproduce the bug
Try to do `write_batch` with any... | {
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https://github.com/huggingface/datasets/pull/6662 | 6,662 | fix: show correct package name to install biopython | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6662). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-02-13T14:15:04Z | 2024-03-01T17:49:48Z | 2024-03-01T17:43:39Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | When you try to download a dataset that uses [biopython](https://github.com/biopython/biopython), like `load_dataset("InstaDeepAI/multi_species_genomes")`, you get the error:
```
>>> from datasets import load_dataset
>>> dataset = load_dataset("InstaDeepAI/multi_species_genomes")
/home/j.vangoey/.pyenv/versions/m... | {
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https://github.com/huggingface/datasets/issues/6661 | 6,661 | Import error on Google Colab | {
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"Hi! This can happen if an incompatible `pyarrow` version (`pyarrow<12.0.0`) has been imported before the `datasets` installation and the Colab session hasn't been restarted afterward. To avoid the error, go to \"Runtime -> Restart session\" after `!pip install -U datasets` and before `import datasets`, or insert t... | 2024-02-13T13:12:40Z | 2024-02-25T16:37:54Z | 2024-02-14T08:04:47Z | NONE | null | null | ### Describe the bug
Cannot be imported on Google Colab, the import throws the following error:
ValueError: pyarrow.lib.IpcWriteOptions size changed, may indicate binary incompatibility. Expected 88 from C header, got 72 from PyObject
### Steps to reproduce the bug
1. `! pip install -U datasets`
2. `import dataset... | {
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https://github.com/huggingface/datasets/pull/6660 | 6,660 | Automatic Conversion for uint16/uint32 to Compatible PyTorch Dtypes | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-02-13T10:24:33Z | 2024-03-01T19:01:57Z | 2024-03-01T18:52:37Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR addresses an issue encountered when utilizing uint16 or uint32 datatypes with datasets, followed by attempting to convert these datasets into PyTorch-compatible formats. Currently, doing so results in a TypeError due to incompatible datatype conversion, as illustrated by the following example:
```python
from ... | {
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https://github.com/huggingface/datasets/pull/6659 | 6,659 | Change default compression argument for JsonDatasetWriter | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6659). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"Can someone check this out?",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArr... | 2024-02-11T23:49:07Z | 2024-03-01T17:51:50Z | 2024-03-01T17:44:55Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Change default compression type from `None` to "infer", to align with pandas' defaults.
Documentation asks the user to supply `to_json_kwargs` with arguments suitable for pandas' `to_json` method. At the same time, while pandas' by default uses ["infer"](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.... | {
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https://github.com/huggingface/datasets/pull/6658 | 6,658 | [Resumable IterableDataset] Add IterableDataset state_dict | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6658). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"would be nice to have this feature in the new dataset release!",
"Before finalising t... | 2024-02-11T20:35:52Z | 2024-10-01T10:19:38Z | 2024-06-03T19:15:39Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | A simple implementation of a mechanism to resume an IterableDataset.
It works by restarting at the latest shard and skip samples. It provides fast resuming (though not instantaneous).
Example:
```python
from datasets import Dataset, concatenate_datasets
ds = Dataset.from_dict({"a": range(5)}).to_iterable_d... | {
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https://github.com/huggingface/datasets/issues/6657 | 6,657 | Release not pushed to conda channel | {
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"Thanks for reporting, @atulsaurav.\r\n\r\nWe are investigating the issue. ",
"I can't fix this issue because I do not appear as a team member of the huggingface datasets project: https://anaconda.org/huggingface/datasets\r\n\r\n@lhoestq could you please add `datasets` team members to the corresponding Anaconda p... | 2024-02-11T20:05:17Z | 2024-03-06T15:06:22Z | 2024-03-06T15:06:22Z | NONE | null | null | ### Describe the bug
The github actions step to publish the release 2.17.0 to conda channel has failed due to expired token. Can some one please update the anaconda token rerun the failed action? @albertvillanova ?
![image](https://github.com/huggingface/datasets/assets/7138162/1b56ad3d-7643-4778-9cce-4bf531717700... | {
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https://github.com/huggingface/datasets/issues/6656 | 6,656 | Error when loading a big local json file | {
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"I get similar when dealing with a large jsonl file (6k lines), \r\n\r\n> TypeError: Couldn't cast array of type timestamp[us] to null\r\n\r\nYet when I split it into 1k lines, files, load_dataset works fine!\r\n\r\nhttps://github.com/huggingface/course/issues/692\r\n\r\n",
"What's the proposed solution? :-)"
] | 2024-02-09T15:14:21Z | 2024-11-29T10:06:57Z | null | NONE | null | null | ### Describe the bug
When trying to load big json files from a local directory, `load_dataset` throws the following error
```
Traceback (most recent call last):
File "/miniconda3/envs/conda-env/lib/python3.10/site-packages/datasets/builder.py", line 1989, in _prepare_split_single
writer.write_table(table)
... | null | {
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https://github.com/huggingface/datasets/issues/6655 | 6,655 | Cannot load the dataset go_emotions | {
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"Thanks for reporting, @arame.\r\n\r\nI guess you have an old version of `transformers` (that submodule is present in `transformers` since version 3.0.1, since nearly 4 years ago). If you update it, the error should disappear:\r\n```shell\r\npip install -U transformers\r\n```\r\n\r\nOn the other hand, I am wonderin... | 2024-02-09T12:15:39Z | 2024-02-12T09:35:55Z | null | NONE | null | null | ### Describe the bug
When I run the following code I get an exception;
`go_emotions = load_dataset("go_emotions")`
> AttributeError Traceback (most recent call last)
Cell In[6], [line 1](vscode-notebook-cell:?execution_count=6&line=1)
----> [1](vscode-notebook-cell:?execution_count=6&l... | null | {
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https://github.com/huggingface/datasets/issues/6654 | 6,654 | Batched dataset map throws exception that cannot cast fixed length array to Sequence | {
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"Hi ! This issue has been fixed by https://github.com/huggingface/datasets/pull/6283\r\n\r\nCan you try again with the new release 2.17.0 ?\r\n\r\n```\r\npip install -U datasets\r\n```\r\n\r\n",
"Amazing! It's indeed fixed now. Thanks!"
] | 2024-02-09T11:23:19Z | 2024-02-12T08:26:53Z | 2024-02-12T08:26:53Z | NONE | null | null | ### Describe the bug
I encountered a TypeError when batch processing a dataset with Sequence features in datasets package version 2.16.1. The error arises from a mismatch in handling fixed-size list arrays during the map function execution. Debugging pinpoints the issue to an if-statement in datasets/table.py, line 20... | {
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https://github.com/huggingface/datasets/pull/6653 | 6,653 | Set dev version | {
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https://github.com/huggingface/datasets/pull/6652 | 6,652 | Release: 2.17.0 | {
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https://github.com/huggingface/datasets/issues/6651 | 6,651 | Slice splits support for datasets.load_from_disk | {
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] | open | false | [] | 2024-02-09T08:00:21Z | 2024-06-14T14:42:46Z | null | NONE | null | null | ### Feature request
Support for slice splits in `datasets.load_from_disk`, similar to how it's already supported for `datasets.load_dataset`.
### Motivation
Slice splits are convienient in a numer of cases - adding support to `datasets.load_from_disk` would make working with local datasets easier and homogeniz... | null | {
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https://github.com/huggingface/datasets/issues/6650 | 6,650 | AttributeError: 'InMemoryTable' object has no attribute '_batches' | {
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"Hi! Does running the following code also return the same error on your machine? \r\n\r\n```python\r\nimport copy\r\nimport pyarrow as pa\r\nfrom datasets.table import InMemoryTable\r\n\r\ncopy.deepcopy(InMemoryTable(pa.table({\"a\": [1, 2, 3], \"b\": [\"foo\", \"bar\", \"foobar\"]})))\r\n```",
"No, it doesn't, ... | 2024-02-08T17:11:26Z | 2024-02-21T00:34:41Z | null | NONE | null | null | ### Describe the bug
```
Traceback (most recent call last):
File "finetune.py", line 103, in <module>
main(args)
File "finetune.py", line 45, in main
data_tokenized = data.map(partial(funcs.tokenize_function, tokenizer,
File "/opt/conda/envs/ptca/lib/python3.8/site-packages/datasets/dataset_dict.... | null | {
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https://github.com/huggingface/datasets/pull/6649 | 6,649 | Minor multi gpu doc improvement | {
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https://github.com/huggingface/datasets/pull/6648 | 6,648 | Document usage of hfh cli instead of git | {
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https://github.com/huggingface/datasets/pull/6647 | 6,647 | Update loading.mdx to include "jsonl" file loading. | {
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"> Thanks for adding the explicit loading command.\r\n> \r\n> However, I would move it j... | 2024-02-07T16:18:08Z | 2024-02-08T15:34:17Z | null | NONE | false | {
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https://github.com/huggingface/datasets/pull/6646 | 6,646 | Better multi-gpu example | {
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the previous example was using a model for translation and the way it was setup was not really the right way to use the model. | {
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https://github.com/huggingface/datasets/issues/6645 | 6,645 | Support fsspec 2024.2 | {
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"I'd be very grateful. This upper bound banished me straight into dependency hell today. :("
] | 2024-02-07T12:45:29Z | 2024-02-29T15:12:19Z | 2024-02-29T15:12:19Z | MEMBER | null | null | Support fsspec 2024.2.
First, we should address:
- #6644 | {
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https://github.com/huggingface/datasets/issues/6644 | 6,644 | Support fsspec 2023.12 | {
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"The pinned fsspec version range dependency conflict has been affecting several of our users in https://github.com/iterative/dvc. I've opened an initial PR that I think should resolve the glob behavior changes with using datasets + the latest fsspec release.\r\n\r\nPlease let us know if there's any other fsspec rel... | 2024-02-07T12:44:39Z | 2024-02-29T15:12:18Z | 2024-02-29T15:12:18Z | MEMBER | null | null | Support fsspec 2023.12 by handling previous and new glob behavior. | {
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https://github.com/huggingface/datasets/issues/6643 | 6,643 | Faiss GPU index cannot be serialised when passed to trainer | {
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"Hi ! make sure your query embeddings are numpy arrays, not torch tensors ;)",
"Hi Quentin, not sure how that solves the problem number 1. I am trying to pass on a dataset with a faiss gpu for training to the standard trainer but getting this serialisation error. What is a workaround this? I do not want to remove... | 2024-02-06T16:41:00Z | 2024-02-15T10:29:32Z | null | NONE | null | null | ### Describe the bug
I am working on a retrieval project and encountering I have encountered two issues in the hugging face faiss integration:
1. I am trying to pass in a dataset with a faiss index to the Huggingface trainer. The code works for a cpu faiss index, but doesn't for a gpu one, getting error:
```
... | null | {
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https://github.com/huggingface/datasets/issues/6642 | 6,642 | Differently dataset object saved than it is loaded. | {
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"I see now, that I have to use `load_from_disk`, in order to load dataset properly, not `load_dataset`. Why is this behavior split? Why do we need both, `load_dataset` and `load_from_disk`?\r\n\r\nUnless answered, I believe this might be helpful for other hf datasets newbies.\r\n\r\nAnyway, made a `load_dataset` co... | 2024-02-05T17:28:57Z | 2024-02-06T09:50:19Z | 2024-02-06T09:50:19Z | NONE | null | null | ### Describe the bug
Differently sized object is saved than it is loaded.
### Steps to reproduce the bug
Hi, I save dataset in a following way:
```
dataset = load_dataset("json",
data_files={
"train": os.path.join(input_folder, f"{task_met... | {
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https://github.com/huggingface/datasets/issues/6641 | 6,641 | unicodedecodeerror: 'utf-8' codec can't decode byte 0xac in position 25: invalid start byte | {
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"Hi @Hughhuh. \r\n\r\nI have formatted the issue because it was not easily readable. Additionally, the environment info is incomplete: it seems you did not run the proposed CLI command `datasets-cli env` and essential information is missing: version of `datasets`, version of `pyarrow`,...\r\n\r\nWith the informatio... | 2024-02-04T08:49:31Z | 2024-02-06T09:26:07Z | 2024-02-06T09:11:45Z | NONE | null | null | ### Describe the bug
unicodedecodeerror: 'utf-8' codec can't decode byte 0xac in position 25: invalid start byte
### Steps to reproduce the bug
```
import sys
sys.getdefaultencoding()
'utf-8'
from datasets import load_dataset
print(f"Train dataset size: {len(dataset['train'])}")
print(f"Test datase... | {
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https://github.com/huggingface/datasets/issues/6640 | 6,640 | Sign Language Support | {
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Currently, there are only several Sign Language labels, I would like to propose adding all the Signed Languages as new labels which are described in this ISO standard: https://www.evertype.com/standards/iso639/sign-language.html
### Motivation
Datasets currently only have labels for several signe... | null | {
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https://github.com/huggingface/datasets/pull/6639 | 6,639 | Run download_and_prepare if missing splits | {
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https://github.com/huggingface/datasets/issues/6638 | 6,638 | Cannot download wmt16 dataset | {
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"Looks like it works with latest datasets repository\r\n```\r\n- `datasets` version: 2.16.2.dev0\r\n- Platform: Linux-5.15.0-92-generic-x86_64-with-glibc2.29\r\n- Python version: 3.8.10\r\n- `huggingface_hub` version: 0.20.3\r\n- PyArrow version: 15.0.0\r\n- Pandas version: 2.0.1\r\n- `fsspec` version: 2023.10.0\r\... | 2024-02-01T19:41:42Z | 2024-02-01T20:07:29Z | 2024-02-01T20:07:29Z | NONE | null | null | ### Describe the bug
As of this morning (PST) 2/1/2024, seeing the wmt16 dataset is missing from opus , could you suggest an alternative?
```
Downloading data files: 0%| | 0/4 [00:00<?, ?it/s]Tra... | {
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https://github.com/huggingface/datasets/issues/6637 | 6,637 | 'with_format' is extremely slow when used together with 'interleave_datasets' or 'shuffle' on IterableDatasets | {
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"The \"torch\" formatting is usually fast because we do zero-copy conversion from the Arrow data on your disk to Torch tensors. However IterableDataset shuffling seems to do data copies that slow down the pipeline, and it shuffles python objects instead of Arrow data.\r\n\r\nTo fix this we need to implement `Buffer... | 2024-02-01T17:16:54Z | 2025-09-18T16:37:11Z | 2025-09-18T16:37:11Z | NONE | null | null | ### Describe the bug
If you:
1. Interleave two iterable datasets together with the interleave_datasets function, or shuffle an iterable dataset
2. Set the output format to torch tensors with .with_format('torch')
Then iterating through the dataset becomes over 100x slower than it is if you don't apply the torch... | {
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https://github.com/huggingface/datasets/pull/6636 | 6,636 | Faster column validation and reordering | {
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"Thanks @mariosasko, I made the changes. However, I did some tests with `map` and I stil... | 2024-01-31T19:08:28Z | 2024-02-07T19:39:00Z | 2024-02-06T23:03:38Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | I work with bioinformatics data and often these tables have thousands and even tens of thousands of features. These tables are also accompanied by metadata that I do not want to pass in the model. When I perform `set_format('pt', columns=large_column_list)` , it can take several minutes before it finishes. The culprit ... | {
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https://github.com/huggingface/datasets/pull/6635 | 6,635 | Fix missing info when loading some datasets from Parquet export | {
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E.g.
```python
from datasets import load_dataset_builder
b = load_dataset_builder("bookcorpus")
print(b.info.features)
# should print {'text': Value(dtype='string', id=None)}
```
I fixed this by ... | {
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https://github.com/huggingface/datasets/pull/6634 | 6,634 | Support data_dir parameter in push_to_hub | {
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This allows users to organize the data files according to their specific needs. For example, "wikimedia/wikipedia" files could be organized by year and/or date, e.g. "2024/20240101/20240101.en". | {
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https://github.com/huggingface/datasets/pull/6633 | 6,633 | dataset viewer requires no-script | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-01-31T13:41:54Z | 2024-01-31T14:05:04Z | 2024-01-31T13:59:01Z | COLLABORATOR | false | {
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https://github.com/huggingface/datasets/pull/6632 | 6,632 | Fix reload cache with data dir | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | The cache used to only check for the latest cache directory with a given config_name, but it was wrong (e.g. `default-data_dir=data%2Ffortran-data_dir=data%2Ffortran` instead of `default-data_dir=data%2Ffortran`)
I fixed this by not passing the `config_kwargs` to the parent Builder `__init__`, and passing the config... | {
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https://github.com/huggingface/datasets/pull/6631 | 6,631 | Fix filelock: use current umask for filelock >= 3.10 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | reported in https://github.com/huggingface/evaluate/issues/542
cc @stas00 @williamberrios
close https://github.com/huggingface/datasets/issues/6589 | {
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https://github.com/huggingface/datasets/pull/6630 | 6,630 | Bump max range of dill to 0.3.8 | {
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"Hi, thanks for working ... | 2024-01-29T21:35:55Z | 2024-01-30T16:19:45Z | 2024-01-30T15:12:25Z | NONE | false | {
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https://github.com/huggingface/datasets/pull/6629 | 6,629 | Support push_to_hub without org/user to default to logged-in user | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This behavior is aligned with:
- the behavior of `datasets` before merging #6519
- the behavior described in the corresponding docstring
- the behavior of `huggingface_hub.create_repo`
Revert "Support push_to_hub canonical datasets (#6519)"
- This reverts commit a887ee78835573f5d80f9e414e8443b4caff3541.
Fix... | {
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https://github.com/huggingface/datasets/pull/6628 | 6,628 | Make CLI test support multi-processing | {
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This was really useful recently to run the command on `pubmed`: https://huggingface.co/datasets/pubmed/discussions/11 | {
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https://github.com/huggingface/datasets/pull/6627 | 6,627 | Disable `tqdm` bars in non-interactive environments | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6627). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-01-29T15:18:21Z | 2024-01-29T15:47:34Z | 2024-01-29T15:41:32Z | COLLABORATOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Replace `disable=False` with `disable=None` in the `tqdm` bars to disable them in non-interactive environments (by default).
For more info, see a [similar PR](https://github.com/huggingface/huggingface_hub/pull/2000) in `huggingface_hub`. | {
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https://github.com/huggingface/datasets/pull/6626 | 6,626 | Raise error on bad split name | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | e.g. dashes '-' are not allowed in split names
This should add an error message on datasets with unsupported split names like https://huggingface.co/datasets/open-source-metrics/test
cc @AndreaFrancis | {
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https://github.com/huggingface/datasets/issues/6624 | 6,624 | How to download the laion-coco dataset | {
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"Hi, this dataset has been disabled by the authors, so unfortunately it's no longer possible to download it."
] | 2024-01-28T03:56:05Z | 2024-02-06T09:43:31Z | 2024-02-06T09:43:31Z | NONE | null | null | The laion coco dataset is not available now. How to download it
https://huggingface.co/datasets/laion/laion-coco | {
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https://github.com/huggingface/datasets/issues/6623 | 6,623 | streaming datasets doesn't work properly with multi-node | {
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"@mariosasko, @lhoestq, @albertvillanova\r\nhey guys! can anyone help? or can you guys suggest who can help with this?",
"Hi ! \r\n\r\n1. When the dataset is running of of examples, the last batches received by the GPU can be incomplete or empty/missing. We haven't implemented yet a way to ignore the last batch. ... | 2024-01-27T23:46:13Z | 2025-10-07T13:38:57Z | null | NONE | null | null | ### Feature request
Let’s say I have a dataset with 5 samples with values [1, 2, 3, 4, 5], with 2 GPUs (for DDP) and batch size of 2. This dataset is an `IterableDataset` since I am streaming it.
Now I split the dataset using `split_dataset_by_node` to ensure it doesn’t get repeated. And since it’s already splitt... | null | {
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https://github.com/huggingface/datasets/issues/6622 | 6,622 | multi-GPU map does not work | {
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"This should now be fixed by https://github.com/huggingface/datasets/pull/6550 and updated with https://github.com/huggingface/datasets/pull/6646\r\n\r\nFeel free to re-open if you're still having issues :)"
] | 2024-01-27T20:06:08Z | 2024-02-08T11:18:21Z | 2024-02-08T11:18:21Z | NONE | null | null | ### Describe the bug
Here is the code for single-GPU processing: https://pastebin.com/bfmEeK2y
Here is the code for multi-GPU processing: https://pastebin.com/gQ7i5AQy
Here is the video showing that the multi-GPU mapping does not work as expected (there are so many things wrong here, it's better to watch the 3-min... | {
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https://github.com/huggingface/datasets/issues/6621 | 6,621 | deleted | {
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https://github.com/huggingface/datasets/issues/6620 | 6,620 | wiki_dpr.py error (ID mismatch between lines {id} and vector {vec_id} | {
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"Thanks for reporting, @kiehls90.\r\n\r\nAs this seems an issue with the specific \"wiki_dpr\" dataset, I am transferring the issue to the corresponding dataset page: https://huggingface.co/datasets/wiki_dpr/discussions/13"
] | 2024-01-27T01:00:09Z | 2024-02-06T09:40:19Z | 2024-02-06T09:40:19Z | NONE | null | null | ### Describe the bug
I'm trying to run a rag example, and the dataset is wiki_dpr.
wiki_dpr download and extracting have been completed successfully.
However, at the generating train split stage, an error from wiki_dpr.py keeps popping up.
Especially in "_generate_examples" :
1. The following error occurs in the... | {
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https://github.com/huggingface/datasets/pull/6619 | 6,619 | Migrate from `setup.cfg` to `pyproject.toml` | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-01-26T15:27:10Z | 2024-01-26T15:53:40Z | 2024-01-26T15:47:32Z | COLLABORATOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Based on https://github.com/huggingface/huggingface_hub/pull/1971 in `hfh` | {
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https://github.com/huggingface/datasets/issues/6618 | 6,618 | While importing load_dataset from datasets | {
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"Hi! Can you please share the error's stack trace so we can see where it comes from?",
"We cannot reproduce the issue and we do not have enough information: environment info (need to run `datasets-cli env`), stack trace,...\r\n\r\nI am closing the issue. Feel free to reopen it (with additional information) if the... | 2024-01-26T09:21:57Z | 2024-07-23T09:31:07Z | 2024-02-06T09:25:54Z | NONE | null | null | ### Describe the bug
cannot import name 'DEFAULT_CIPHERS' from 'urllib3.util.ssl_' this is the error i received
### Steps to reproduce the bug
from datasets import load_dataset
### Expected behavior
No errors
### Environment info
python 3.11.5 | {
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https://github.com/huggingface/datasets/pull/6617 | 6,617 | Fix CI: pyarrow 15, pandas 2.2 and sqlachemy | {
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close https://github.com/huggingface/datasets/issues/5477 | {
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https://github.com/huggingface/datasets/pull/6616 | 6,616 | Use schema metadata only if it matches features | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-01-25T11:01:14Z | 2024-01-26T16:25:24Z | 2024-01-26T16:19:12Z | MEMBER | false | {
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https://github.com/huggingface/datasets/issues/6615 | 6,615 | ... | {
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"Sorry I posted in the wrong repo, please delete.. thanks!"
] | 2024-01-24T19:37:03Z | 2024-01-24T19:42:30Z | 2024-01-24T19:40:11Z | NONE | null | null | ... | {
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https://github.com/huggingface/datasets/issues/6614 | 6,614 | `datasets/downloads` cleanup tool | {
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] | open | false | [] | 2024-01-24T18:52:10Z | 2024-01-24T18:55:09Z | null | CONTRIBUTOR | null | null | ### Feature request
Splitting off https://github.com/huggingface/huggingface_hub/issues/1997 - currently `huggingface-cli delete-cache` doesn't take care of cleaning `datasets` temp files
e.g. I discovered having millions of files under `datasets/downloads` cache, I had to do:
```
sudo find /data/huggingface/... | null | {
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https://github.com/huggingface/datasets/issues/6612 | 6,612 | cnn_dailymail repeats itself | {
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"Hi ! We recently updated `cnn_dailymail` and now `datasets>=2.14` is needed to load it.\r\n\r\nYou can update `datasets` with\r\n\r\n```\r\npip install -U datasets\r\n```"
] | 2024-01-24T11:38:25Z | 2024-02-01T08:14:50Z | 2024-02-01T08:14:50Z | NONE | null | null | ### Describe the bug
When I try to load `cnn_dailymail` dataset, it takes longer than usual and when I checked the dataset it's 3x bigger than it's supposed to be.
Check https://huggingface.co/datasets/cnn_dailymail: it says 287k rows for train. But when I check length of train split it says 861339.
Also I che... | {
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https://github.com/huggingface/datasets/issues/6611 | 6,611 | `load_from_disk` with large dataset from S3 runs into `botocore.exceptions.ClientError` | {
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When loading a large dataset (>1000GB) from S3 I run into the following error:
```
Traceback (most recent call last):
File "/home/alp/.local/lib/python3.10/site-packages/s3fs/core.py", line 113, in _error_wrapper
return await func(*args, **kwargs)
File "/home/alp/.local/lib/python3.... | null | {
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https://github.com/huggingface/datasets/issues/6610 | 6,610 | cast_column to Sequence(subfeatures_dict) has err | {
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"Hi! You are passing the wrong feature type to `cast_column`. This is the fixed call:\r\n```python\r\nais_dataset = ais_dataset.cast_column(\"my_labeled_bbox\", {\"bbox\": Sequence(Value(dtype=\"int64\")), \"label\": ClassLabel(names=[\"cat\", \"dog\"])})\r\n```",
"> Hi! You are passing the wrong feature type to ... | 2024-01-23T09:32:32Z | 2024-01-25T02:15:23Z | 2024-01-25T02:15:23Z | NONE | null | null | ### Describe the bug
I am working with the following demo code:
```
from datasets import load_dataset
from datasets.features import Sequence, Value, ClassLabel, Features
ais_dataset = load_dataset("/data/ryan.gao/ais_dataset_cache/raw/1978/")
ais_dataset = ais_dataset["train"]
def add_class(example):
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https://github.com/huggingface/datasets/issues/6609 | 6,609 | Wrong path for cache directory in offline mode | {
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"+1",
"same error in 2.16.1",
"@kongjiellx any luck with the issue?",
"I opened https://github.com/huggingface/datasets/pull/6632 to fix this issue. Once it's merged we'll do a new release of `datasets`",
"Thanks @lhoestq !"
] | 2024-01-23T01:47:19Z | 2024-02-06T17:21:25Z | 2024-02-06T17:21:25Z | NONE | null | null | ### Describe the bug
Dear huggingfacers,
I'm trying to use a subset of the-stack dataset. When I run the command the first time
```
dataset = load_dataset(
path='bigcode/the-stack',
data_dir='data/fortran',
split='train' )
```
It downloads the files and caches them normally.
Nevertheless, ... | {
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https://github.com/huggingface/datasets/pull/6608 | 6,608 | Add `with_rank` param to `Dataset.filter` | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6608). All of your documentation changes will be reflected on that endpoint. The docs are available until 30 days after the last update.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-01-22T15:19:16Z | 2024-01-29T16:43:11Z | 2024-01-29T16:36:53Z | COLLABORATOR | false | {
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https://github.com/huggingface/datasets/pull/6607 | 6,607 | Update features.py to avoid bfloat16 unsupported error | {
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"I think not all torch tensors should be converted to float, what if it's a tensor of integers for example ?\r\nMaybe you can check for the tensor dtype before converting",
"@lhoestq Please could this be merged? 🙏",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show up... | 2024-01-20T00:39:44Z | 2024-05-17T09:46:29Z | 2024-05-17T09:40:13Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fixes https://github.com/huggingface/datasets/issues/6566
Let me know if there's any tests I need to clear. | {
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https://github.com/huggingface/datasets/pull/6606 | 6,606 | Dedicated RNG object for fingerprinting | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>... | 2024-01-19T18:34:47Z | 2024-01-26T15:11:38Z | 2024-01-26T15:05:34Z | COLLABORATOR | false | {
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