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https://github.com/huggingface/datasets/issues/5878 | 5,878 | Prefetching for IterableDataset | {
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"Very cool! Do you have a link to the code that you're using to eagerly fetch the data? Would also be interested in hacking around something here for pre-fetching iterable datasets",
"I ended up just switching back to the pytorch dataloader and using it's multiprocessing functionality to handle this :(. I'm just ... | 2023-05-20T15:25:40Z | 2025-09-01T20:57:32Z | null | NONE | null | null | ### Feature request
Add support for prefetching the next n batches through iterabledataset to reduce batch loading bottleneck in training loop.
### Motivation
The primary motivation behind this is to use hardware accelerators alongside a streaming dataset. This is required when you are in a low ram or low disk... | null | {
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https://github.com/huggingface/datasets/issues/5877 | 5,877 | Request for text deduplication feature | {
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"The \"exact match\" deduplication will be possible when we resolve https://github.com/huggingface/datasets/issues/2514 (first, https://github.com/apache/arrow/issues/30950 needs to be addressed on the Arrow side). In the meantime, you can use Polars or DuckDB (e.g., via [datasets-sql](https://github.com/mariosasko... | 2023-05-20T01:56:00Z | 2024-01-25T14:40:09Z | null | NONE | null | null | ### Feature request
It would be great if there would be support for high performance, highly scalable text deduplication algorithms as part of the datasets library.
### Motivation
Motivated by this blog post https://huggingface.co/blog/dedup and this library https://github.com/google-research/deduplicate-text-datase... | null | {
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https://github.com/huggingface/datasets/issues/5876 | 5,876 | Incompatibility with DataLab | {
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"Indeed, `clobber=True` (with a warning if the existing protocol will be overwritten) should fix the issue, but maybe a better solution is to register our compression filesystem before the script is executed and unregister them afterward. WDYT @lhoestq @albertvillanova?",
"I think we should use clobber and show a... | 2023-05-20T01:39:11Z | 2023-05-25T06:42:34Z | 2023-05-25T06:42:34Z | NONE | null | null | ### Describe the bug
Hello,
I am currently working on a project where both [DataLab](https://github.com/ExpressAI/DataLab) and [datasets](https://github.com/huggingface/datasets) are subdependencies.
I noticed that I cannot import both libraries, as they both register FileSystems in `fsspec`, expecting the FileSyste... | {
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https://github.com/huggingface/datasets/issues/5875 | 5,875 | Why split slicing doesn't behave like list slicing ? | {
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"A duplicate of https://github.com/huggingface/datasets/issues/1774"
] | 2023-05-19T07:21:10Z | 2024-01-31T15:54:18Z | 2024-01-31T15:54:18Z | NONE | null | null | ### Describe the bug
If I want to get the first 10 samples of my dataset, I can do :
```
ds = datasets.load_dataset('mnist', split='train[:10]')
```
But if I exceed the number of samples in the dataset, an exception is raised :
```
ds = datasets.load_dataset('mnist', split='train[:999999999]')
```
> V... | {
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https://github.com/huggingface/datasets/issues/5874 | 5,874 | Using as_dataset on a "parquet" builder | {
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"Hi! You can refer to [this doc](https://huggingface.co/docs/datasets/filesystems#load-and-save-your-datasets-using-your-cloud-storage-filesystem) to see the intended usage (basically, it skips the Arrow -> Parquet conversion step in `ds = load_dataset(...); ds.to_parquet(\"path/to/parquet\")`) and allows writing P... | 2023-05-18T14:09:03Z | 2023-05-31T13:23:55Z | 2023-05-31T13:23:55Z | NONE | null | null | ### Describe the bug
I used a custom builder to ``download_and_prepare`` a dataset. The first (very minor) issue is that the doc seems to suggest ``download_and_prepare`` will return the dataset, while it does not ([builder.py](https://github.com/huggingface/datasets/blob/main/src/datasets/builder.py#L718-L738)).
```... | {
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https://github.com/huggingface/datasets/issues/5873 | 5,873 | Allow setting the environment variable for the lock file path | {
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Add an environment variable to replace the default lock file path.
### Motivation
Usually, dataset path is a read-only path while the lock file needs to be modified each time. It would be convenient if the path can be reset individually.
### Your contribution
```/src/datasets/utils/fi... | null | {
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https://github.com/huggingface/datasets/pull/5872 | 5,872 | Fix infer module for uppercase extensions | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | 2023-05-17T05:56:45Z | 2023-05-17T14:26:59Z | 2023-05-17T14:19:18Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fix the `infer_module_for_data_files` and `infer_module_for_data_files_in_archives` functions when passed a data file name with uppercase extension, e.g. `filename.TXT`.
Before, `None` module was returned. | {
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https://github.com/huggingface/datasets/issues/5871 | 5,871 | data configuration hash suffix depends on uncanonicalized data_dir | {
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"It could even use `os.path.realpath` to resolve symlinks.",
"Indeed, it makes sense to normalize `data_dir`. Feel free to submit a PR (this can be \"fixed\" [here](https://github.com/huggingface/datasets/blob/89f775226321ba94e5bf4670a323c0fb44f5f65c/src/datasets/builder.py#L173))",
"#self-assign"
] | 2023-05-16T18:56:04Z | 2023-06-02T15:52:05Z | 2023-06-02T15:52:05Z | CONTRIBUTOR | null | null | ### Describe the bug
I am working with the `recipe_nlg` dataset, which requires manual download. Once it's downloaded, I've noticed that the hash in the custom data configuration is different if I add a trailing `/` to my `data_dir`. It took me a while to notice that the hashes were different, and to understand that... | {
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https://github.com/huggingface/datasets/issues/5870 | 5,870 | Behaviour difference between datasets.map and IterableDatasets.map | {
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"PS - some work is definitely needed for 'special cases' docs, not explanations, just usages of 'functions' under mixture of special cases, like a combination of custom databuilder + iterable dataset for large size + dynamic .map() application."
] | 2023-05-16T14:32:57Z | 2023-05-16T14:36:05Z | null | NONE | null | null | ### Describe the bug
All the examples in all the docs mentioned throughout huggingface datasets correspond to datasets object, and not IterableDatasets object. At one point of time, they might have been in sync, but the code for datasets version >=2.9.0 is very different as compared to the docs.
I basically need to ... | null | {
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https://github.com/huggingface/datasets/issues/5869 | 5,869 | Image Encoding Issue when submitting a Parquet Dataset | {
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"Hi @PhilippeMoussalli thanks for opening a detailed issue. It seems the issue is more related to the `datasets` library so I'll ping @lhoestq @mariosasko on this one :) \n\n(edit: also can one of you move the issue to the datasets repo? Thanks in advance 🙏)",
"Hi ! The `Image()` info is stored in the **schema m... | 2023-05-16T09:42:58Z | 2023-06-16T12:48:38Z | 2023-06-16T09:30:48Z | NONE | null | null | ### Describe the bug
Hello,
I'd like to report an issue related to pushing a dataset represented as a Parquet file to a dataset repository using Dask. Here are the details:
We attempted to load an example dataset in Parquet format from the Hugging Face (HF) filesystem using Dask with the following code snippet... | {
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https://github.com/huggingface/datasets/issues/5868 | 5,868 | Is it possible to change a cached file and 're-cache' it instead of re-generating? | {
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"Arrow files/primitives (tables and arrays) are immutable, so re-generating them is the only option, I'm afraid.",
"> \r\n\r\nGot it, thanks for your reply"
] | 2023-05-16T03:45:42Z | 2023-05-17T11:21:36Z | 2023-05-17T11:21:36Z | NONE | null | null | ### Feature request
Hi,
I have a huge cached file using `map`(over 500GB), and I want to change an attribution of each element, is there possible to do it using some method instead of re-generating, because `map` takes over 24 hours
### Motivation
For large datasets, I think it is very important because we always f... | {
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https://github.com/huggingface/datasets/pull/5867 | 5,867 | Add logic for hashing modules/functions optimized with `torch.compile` | {
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PS: The `Pickler.save` method is becoming a bit messy, so I plan to refactor the pickler a bit at some point. | {
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https://github.com/huggingface/datasets/issues/5866 | 5,866 | Issue with Sequence features | {
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] | 2023-05-15T17:13:29Z | 2023-05-26T11:57:17Z | 2023-05-26T11:57:17Z | NONE | null | null | ### Describe the bug
Sequences features sometimes causes errors when the specified length is not -1
### Steps to reproduce the bug
```python
import numpy as np
from datasets import Features, ClassLabel, Sequence, Value, Dataset
feats = Features(**{'target': ClassLabel(names=[0, 1]),'x': Sequence(feature=Va... | {
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https://github.com/huggingface/datasets/pull/5865 | 5,865 | Deprecate task api | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"If it's easy to keep supporting it we can keep it no ? There are many datasets on the hub that implement the tasks templates in dataset scripts and it's maybe easier to keep task templates than opening PRs to those datasets.",
"do ... | 2023-05-15T16:48:24Z | 2023-07-10T12:33:59Z | 2023-07-10T12:24:01Z | COLLABORATOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | The task API is not well adopted in the ecosystem, so this PR deprecates it. The `train_eval_index` is a newer, more flexible solution that should be used instead (I think?).
These are the projects that still use the task API :
* the image classification example in Transformers: [here](https://github.com/huggingfac... | {
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https://github.com/huggingface/datasets/issues/5864 | 5,864 | Slow iteration over Torch tensors | {
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"I am highly interested performance of dataset so I ran your example as a curious user.\r\n```python\r\ntrain_dataset.cast_column(\"x\", Array3D(shape=img_shape, dtype=\"float32\"))\r\n```\r\nhave return values and \"x\" is a new column, it shoulde be\r\n```python\r\nds=train_dataset.cast_column(\"img\", Array3D(sh... | 2023-05-15T16:43:58Z | 2024-10-08T10:21:48Z | null | NONE | null | null | ### Describe the bug
I have a problem related to this [issue](https://github.com/huggingface/datasets/issues/5841): I get a way slower iteration when using a Torch dataloader if I use vanilla Numpy tensors or if I first apply a ToTensor transform to the input. In particular, it takes 5 seconds to iterate over the vani... | null | {
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https://github.com/huggingface/datasets/pull/5863 | 5,863 | Use a new low-memory approach for tf dataset index shuffling | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchma... | 2023-05-15T15:28:34Z | 2023-06-08T16:40:18Z | 2023-06-08T16:32:51Z | MEMBER | false | {
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Fixes #5855 | {
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https://github.com/huggingface/datasets/issues/5862 | 5,862 | IndexError: list index out of range with data hosted on Zenodo | {
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"This error is also raised when data is hosted on Google Drive:\r\n- https://huggingface.co/datasets/docred/discussions/5\r\n- https://huggingface.co/datasets/linnaeus/discussions/3\r\n- https://huggingface.co/datasets/poleval2019_mt/discussions/3\r\n- https://huggingface.co/datasets/reddit_tifu/discussions/2\r\n- ... | 2023-05-15T13:47:19Z | 2023-09-25T12:09:51Z | null | MEMBER | null | null | The dataset viewer sometimes raises an `IndexError`:
```
IndexError: list index out of range
```
See:
- huggingface/datasets-server#1151
- https://huggingface.co/datasets/reddit/discussions/5
- huggingface/datasets-server#1118
- https://huggingface.co/datasets/krr-oxford/OntoLAMA/discussions/1
- https://hu... | null | {
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https://github.com/huggingface/datasets/pull/5861 | 5,861 | Better error message when combining dataset dicts instead of datasets | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | close https://github.com/huggingface/datasets/issues/5851 | {
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https://github.com/huggingface/datasets/pull/5860 | 5,860 | Minor tqdm optim | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Don't create a tqdm progress bar when `disable_tqdm` is passed to `map_nested`.
On my side it sped up some iterable datasets by ~30% when `map_nested` is used extensively to recursively tensorize python dicts. | {
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https://github.com/huggingface/datasets/pull/5859 | 5,859 | Raise TypeError when indexing a dataset with bool | {
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https://github.com/huggingface/datasets/issues/5858 | 5,858 | Throw an error when dataset improperly indexed | {
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"Thanks for reporting, @sarahwie.\r\n\r\nPlease note that in `datasets` we do not have vectorized operation like `pandas`. Therefore, your equality comparisons above are `False`:\r\n- For example: `squad['question']` returns a `list`, and this list is not equal to `\"Who was the Norse leader?\"`\r\n\r\nThe `False` ... | 2023-05-15T05:15:53Z | 2023-05-25T16:23:19Z | 2023-05-25T16:23:19Z | NONE | null | null | ### Describe the bug
Pandas-style subset indexing on dataset does not throw an error, when maybe it should. Instead returns the first instance of the dataset regardless of index condition.
### Steps to reproduce the bug
Steps to reproduce the behavior:
1. `squad = datasets.load_dataset("squad_v2", split="validati... | {
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https://github.com/huggingface/datasets/issues/5857 | 5,857 | Adding chemistry dataset/models in huggingface | {
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"Hi! \r\n\r\nThis would be a nice addition to the Hub! You can find the existing chemistry datasets/models on the Hub (using the `chemistry` tag) [here](https://huggingface.co/search/full-text?q=chemistry&type=model&type=dataset).\r\n\r\nFeel free to ping us here on the Hub if you need help adding the datasets.\r\n... | 2023-05-15T05:09:49Z | 2023-07-21T13:45:40Z | 2023-07-21T13:45:40Z | NONE | null | null | ### Feature request
Huggingface is really amazing platform for open science.
In addition to computer vision, video and NLP, would it be of interest to add chemistry/materials science dataset/models in Huggingface? Or, if its already done, can you provide some pointers.
We have been working on a comprehensive ben... | {
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https://github.com/huggingface/datasets/issues/5856 | 5,856 | Error loading natural_questions | {
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"Hi! You can avoid this error by using the preprocessed version:\r\n```python\r\nimport datasets\r\nds = datasets.load_dataset('natural_questions')\r\n```\r\n\r\nPS: Once we finish https://github.com/huggingface/datasets/pull/5364, this error will no longer be a problem.",
"> Hi! You can avoid this error by using... | 2023-05-15T02:46:04Z | 2023-06-05T09:11:19Z | 2023-06-05T09:11:18Z | NONE | null | null | ### Describe the bug
When try to load natural_questions through datasets == 2.12.0 with python == 3.8.9:
```python
import datasets
datasets.load_dataset('natural_questions',beam_runner='DirectRunner')
```
It failed with following info:
`pyarrow.lib.ArrowNotImplementedError: Nested data conversions not impl... | {
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https://github.com/huggingface/datasets/issues/5855 | 5,855 | `to_tf_dataset` consumes too much memory | {
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"Cc @amyeroberts @Rocketknight1 \r\n\r\nIndded I think it's because it does something like this under the hood when there's no multiprocessing:\r\n\r\n```python\r\ntf_dataset = tf_dataset.shuffle(len(dataset))\r\n```\r\n\r\nPS: with multiprocessing it appears to be different:\r\n\r\n```python\r\nindices = np.arange... | 2023-05-14T01:22:29Z | 2023-06-08T16:32:52Z | 2023-06-08T16:32:52Z | NONE | null | null | ### Describe the bug
Hi, I'm using `to_tf_dataset` to convert a _large_ dataset to `tf.data.Dataset`. I observed that the data loading *before* training took a lot of time and memory, even with `batch_size=1`.
After some digging, i believe the reason lies in the shuffle behavior. The [source code](https://github.... | {
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https://github.com/huggingface/datasets/issues/5854 | 5,854 | Can not load audiofolder dataset on kaggle | {
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"Hi! `audiofolder` requires `datasets>=2.5.0`, so please update the `datasets`' installation (`pip install -U datasets`) in the environment (and restart the env for the update to take effect) to resolve the issue.",
"> Hi! `audiofolder` requires `datasets>=2.5.0`, so please update the `datasets`' installation (`p... | 2023-05-14T00:50:47Z | 2023-08-16T13:35:36Z | 2023-07-21T13:53:45Z | NONE | null | null | ### Describe the bug
It's crash log:
FileNotFoundError: Couldn't find a dataset script at /kaggle/working/audiofolder/audiofolder.py or any data file in the same directory. Couldn't find 'audiofolder' on the Hugging Face Hub either: FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/huggingfac... | {
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https://github.com/huggingface/datasets/pull/5853 | 5,853 | [docs] Redirects, migrated from nginx | {
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"@mishig25 note that it's not exactly the same behavior as in nginx as here it interacts a bit with the `version` and the `language`\r\n\r\nShould be close enough, though.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow=... | 2023-05-12T19:19:27Z | 2023-05-15T10:37:19Z | 2023-05-15T10:30:14Z | MEMBER | false | {
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https://github.com/huggingface/datasets/pull/5852 | 5,852 | Iterable torch formatting | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | 2023-05-12T16:48:49Z | 2023-06-13T16:04:05Z | 2023-06-13T15:57:05Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Used the TorchFormatter to get torch tensors in iterable dataset with format set to "torch".
It uses the data from Arrow if possible, otherwise applies recursive_tensorize.
When set back to format_type=None, cast_to_python_objects is used.
requires https://github.com/huggingface/datasets/pull/5821
close htt... | {
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https://github.com/huggingface/datasets/pull/5850 | 5,850 | Make packaged builders skip non-supported file formats | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5850). All of your documentation changes will be reflected on that endpoint.",
"Good idea. @mariosasko!!!\r\n\r\nPlease note that before this PR, the files are not evenly distributed for archives: `_generate_examples` gets a li... | 2023-05-12T13:52:34Z | 2023-06-07T12:26:38Z | null | MEMBER | false | {
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} | This PR makes packaged builders skip non-supported file formats:
- Csv builder skips non-CSV files
- Analogously for the other builders
Fix #5849. | null | {
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https://github.com/huggingface/datasets/issues/5849 | 5,849 | CSV datasets should only read the CSV data files in the repo | {
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] | closed | false | [] | 2023-05-12T12:29:53Z | 2023-06-22T14:16:27Z | 2023-06-22T14:16:27Z | MEMBER | null | null | When a no-script dataset has many CSV files and a JPG file, the library infers to use the Csv builder, but tries to read as CSV all files in the repo, also the JPG file.
I think the Csv builder should filter out non-CSV files when reading.
An analogue solution should be implemented for other packaged builders.
... | {
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https://github.com/huggingface/datasets/pull/5848 | 5,848 | Add `accelerate` as metric's test dependency to fix CI error | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | 2023-05-12T12:01:01Z | 2023-05-12T13:48:47Z | 2023-05-12T13:39:06Z | COLLABORATOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | The `frugalscore` metric uses Transformers' Trainer, which requires `accelerate` (as of recently).
Fixes the following [CI error](https://github.com/huggingface/datasets/actions/runs/4950900048/jobs/8855148703?pr=5845). | {
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https://github.com/huggingface/datasets/issues/5847 | 5,847 | Streaming IterableDataset not working with translation pipeline | {
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"I wasn't sure to file this against transformers or datasets.",
"[`KeyDataset`](https://github.com/huggingface/transformers/blob/7f8b909189547944617741d8d3c6c84504701693/src/transformers/pipelines/pt_utils.py#L296) doesn't support iterable datasets, so you either need to implement a version that does (and also in... | 2023-05-11T21:52:38Z | 2023-05-16T15:59:55Z | null | NONE | null | null | ### Describe the bug
I'm trying to use a streaming dataset for translation inference to avoid downloading the training data.
I'm using a pipeline and a dataset, and following the guidance in the tutorial.
Instead I get an exception that IterableDataset has no len().
### Steps to reproduce the bug
CODE:
```
... | null | {
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https://github.com/huggingface/datasets/issues/5851 | 5,851 | Error message not clear in interleaving datasets | {
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standard env
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [X] My own task or dataset (give details below)
### Reproduction
I'm tr... | {
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https://github.com/huggingface/datasets/issues/5846 | 5,846 | load_dataset('bigcode/the-stack-dedup', streaming=True) very slow! | {
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"This is due to the slow resolution of the data files: https://github.com/huggingface/datasets/issues/5537.\r\n\r\nWe plan to switch to `huggingface_hub`'s `HfFileSystem` soon to make the resolution faster (will be up to 20x faster once we merge https://github.com/huggingface/huggingface_hub/pull/1443)\r\n\r\n",
... | 2023-05-11T17:58:57Z | 2024-04-08T12:53:17Z | 2024-04-05T12:28:58Z | NONE | null | null | ### Describe the bug
Running
```
import datasets
ds = datasets.load_dataset('bigcode/the-stack-dedup', streaming=True)
```
takes about 2.5 minutes!
I would expect this to be near instantaneous. With other datasets, the runtime is one or two seconds.
### Environment info
- `datasets` version: 2.1... | {
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https://github.com/huggingface/datasets/pull/5845 | 5,845 | Add `date_format` param to the CSV reader | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | 2023-05-11T17:29:57Z | 2023-05-15T07:39:13Z | 2023-05-12T15:14:48Z | COLLABORATOR | false | {
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https://github.com/huggingface/datasets/issues/5844 | 5,844 | TypeError: Couldn't cast array of type struct<answer: struct<unanswerable: bool, answerType: string, free_form_answer: string, evidence: list<item: string>, evidenceAnnotate: list<item: string>, highlighted_evidence: list<item: string>>> to ... | {
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TypeError: Couldn't cast array of type struct<answer: struct<unanswerable: bool, answerType: string, free_form_answer: string, evidence: list<item: string>, evidenceAnnotate: list<item: string>, highlighted_evidence: list<item: string>>> to {'answer': {'unanswerable': Value(dtype='bool', id=None),... | null | {
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https://github.com/huggingface/datasets/issues/5841 | 5,841 | Abusurdly slow on iteration | {
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"Hi ! You can try to use the [Image](https://huggingface.co/docs/datasets/v2.12.0/en/package_reference/main_classes#datasets.Image) type which [decodes images on-the-fly](https://huggingface.co/docs/datasets/v2.12.0/en/about_dataset_features#image-feature) into pytorch tensors :)\r\n\r\n```python\r\nds = Dataset.fr... | 2023-05-11T08:04:09Z | 2023-05-15T15:38:13Z | 2023-05-15T15:38:13Z | NONE | null | null | ### Describe the bug
I am attempting to iterate through an image dataset, but I am encountering a significant slowdown in the iteration speed. In order to investigate this issue, I conducted the following experiment:
```python
a=torch.randn(100,224)
a=torch.stack([a] * 10000)
a.shape
# %%
ds=Dataset.from_d... | {
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https://github.com/huggingface/datasets/issues/5840 | 5,840 | load model error. | {
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"Please report this in the `transformers` repo, as it's not related to `datasets`"
] | 2023-05-11T07:12:38Z | 2023-05-12T13:44:07Z | 2023-05-12T13:44:06Z | NONE | null | null | ### Describe the bug
I had trained one model use deepspeed, when I load the final load I get the follow error:
OSError: Can't load tokenizer for '/XXX/DeepSpeedExamples/applications/DeepSpeed-Chat/output/step3-models/1.3b/actor'. If you were trying to load it from 'https://huggingface.co/models', make sure you don't ... | {
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https://github.com/huggingface/datasets/issues/5842 | 5,842 | Remove columns in interable dataset | {
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"Transferring this issue as it's related to the 🤗 Datasets library ",
"Hi @surya-narayanan! Could you provide some code snippet?",
"This method has been recently added to the `IterableDataset`, so you need to update the `datasets`' installation (`pip install -U datasets`) to use it."
] | 2023-05-11T03:48:46Z | 2023-06-21T16:36:42Z | 2023-06-21T16:36:41Z | NONE | null | null | ### Feature request
Right now, remove_columns() produces a NotImplementedError for iterable style datasets
### Motivation
It would be great to have the same functionality irrespective of whether one is using an iterable or a map-style dataset
### Your contribution
hope and courage. | {
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https://github.com/huggingface/datasets/issues/5843 | 5,843 | Can't add iterable datasets to a Dataset Dict. | {
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"Transferring as this is relating to the 🤗 Datasets library",
"You need to use `IterableDatasetDict` instead of `DatasetDict` for iterable datasets."
] | 2023-05-11T02:09:29Z | 2023-05-25T04:51:59Z | 2023-05-25T04:51:59Z | NONE | null | null | ### System Info
standard env
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction
Get th... | {
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https://github.com/huggingface/datasets/issues/5839 | 5,839 | Make models/functions optimized with `torch.compile` hashable | {
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] | closed | false | [] | 2023-05-10T20:02:08Z | 2023-11-28T16:29:33Z | 2023-11-28T16:29:33Z | COLLABORATOR | null | null | As reported in https://github.com/huggingface/datasets/issues/5819, hashing functions/transforms that reference a model, or a function, optimized with `torch.compile` currently fails due to them not being picklable (the concrete error can be found in the linked issue).
The solutions to consider:
1. hashing/pickling... | {
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https://github.com/huggingface/datasets/issues/5838 | 5,838 | Streaming support for `load_from_disk` | {
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"As the name says, `load_from_disk` load the data from your disk. If the data is hosted on S3, it is first downloaded locally and then loaded from your disk.\r\n\r\nThere is a discussion on streaming data from S3 here though: #5281 ",
"@lhoestq \r\nThanks for your comment. I have checked out the discussion before... | 2023-05-10T06:25:22Z | 2024-10-28T14:19:44Z | 2023-05-12T09:37:45Z | NONE | null | null | ### Feature request
Support for streaming datasets stored in object stores in `load_from_disk`.
### Motivation
The `load_from_disk` function supports fetching datasets stored in object stores such as `s3`. In many cases, the datasets that are stored in object stores are very large and being able to stream the data ... | {
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https://github.com/huggingface/datasets/issues/5837 | 5,837 | Use DeepSpeed load myself " .csv " dataset. | {
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"Hi ! Doing `load_dataset(\"path/to/data.csv\")` is not supported yet, but you can do\r\n\r\n```python\r\nds = load_dataset(\"csv\", data_files=[\"path/to/data.csv\"])\r\n```",
"@lhoestq thank you.",
"The other question: \r\nTraceback (most recent call last):\r\n File \"<stdin>\", line 1, in <module>\r\n Fil... | 2023-05-10T02:39:28Z | 2023-05-15T03:51:36Z | null | NONE | null | null | ### Describe the bug
When I use DeepSpeed train a model with my own " XXX.csv" dataset I got the follow question:
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/fm001/.conda/envs/hzl/lib/python3.8/site-packages/datasets/load.py", line 1767, in load_dataset
builder_instan... | null | {
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https://github.com/huggingface/datasets/pull/5836 | 5,836 | [docs] Custom decoding transforms | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5836). All of your documentation changes will be reflected on that endpoint.",
"The error seems unrelated to the changes, so feel free to merge.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\... | 2023-05-09T21:21:41Z | 2023-05-15T07:36:12Z | 2023-05-10T20:23:03Z | MEMBER | false | {
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https://github.com/huggingface/datasets/pull/5835 | 5,835 | Always set nullable fields in the writer | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | 2023-05-09T18:16:59Z | 2023-05-23T16:10:29Z | 2023-05-19T13:04:30Z | MEMBER | false | {
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Indeed `datasets.Features` doesn't support non-nullable fields, which can lead to data not concatenable due to arrow schema mismatch. | {
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https://github.com/huggingface/datasets/issues/5834 | 5,834 | Is uint8 supported? | {
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"Hi ! The numpy formatting detaults to int64 and float32 - but you can use uint8 using\r\n```python\r\nds = ds.with_format(\"numpy\", dtype=np.uint8)\r\n```",
"Related to https://github.com/huggingface/datasets/issues/5517.",
"Thank you!\r\nBy setting `ds.with_format(\"numpy\", dtype=np.uint8)`, the dataset ret... | 2023-05-09T17:31:13Z | 2023-05-13T05:04:21Z | 2023-05-13T05:04:21Z | NONE | null | null | ### Describe the bug
I expect the dataset to store the data in the `uint8` data type, but it's returning `int64` instead.
While I've found that `datasets` doesn't yet support float16 (https://github.com/huggingface/datasets/issues/4981), I'm wondering if this is the case for other data types as well.
Is there a way ... | {
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https://github.com/huggingface/datasets/issues/5833 | 5,833 | Unable to push dataset - `create_pr` problem | {
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"Thanks for reporting, @agombert.\r\n\r\nIn this case, I think the root issue is authentication: before pushing to Hub, you should authenticate. See our docs: https://huggingface.co/docs/datasets/upload_dataset#upload-with-python\r\n> 2. To upload a dataset on the Hub in Python, you need to log in to your Hugging F... | 2023-05-09T15:32:55Z | 2023-10-24T18:22:29Z | 2023-10-24T18:22:29Z | NONE | null | null | ### Describe the bug
I can't upload to the hub the dataset I manually created locally (Image dataset). I have a problem when using the method `.push_to_hub` which asks for a `create_pr` attribute which is not compatible.
### Steps to reproduce the bug
here what I have:
```python
dataset.push_to_hub("agomberto/Fr... | {
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https://github.com/huggingface/datasets/issues/5832 | 5,832 | 404 Client Error: Not Found for url: https://huggingface.co/api/models/bert-large-cased | {
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"moved to https://github.com/huggingface/transformers/issues/23233"
] | 2023-05-09T14:14:59Z | 2023-05-09T14:25:59Z | 2023-05-09T14:25:59Z | NONE | null | null | ### Describe the bug
Running [Bert-Large-Cased](https://huggingface.co/bert-large-cased) model causes `HTTPError`, with the following traceback-
```
HTTPError Traceback (most recent call last)
<ipython-input-6-5c580443a1ad> in <module>
----> 1 tokenizer = BertTokenizer.from_pretra... | {
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https://github.com/huggingface/datasets/issues/5831 | 5,831 | [Bug]504 Server Error when loading dataset which was already cached | {
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"I am experiencing the same problem with the following environment:\r\n\r\n* `datasets` version: 2.11.0\r\n* Platform: `Linux 5.19.0-41-generic x86_64 GNU/Linux`\r\n* Python version: `3.8.5`\r\n* Huggingface_hub version: 0.13.3\r\n* PyArrow version: `11.0.0`\r\n* Pandas version: `1.5.3`\r\n\r\nTrying to get some di... | 2023-05-09T10:31:07Z | 2023-05-10T01:48:20Z | null | NONE | null | null | ### Describe the bug
I have already cached the dataset using:
```
dataset = load_dataset("databricks/databricks-dolly-15k",
cache_dir="/mnt/data/llm/datasets/databricks-dolly-15k")
```
After that, I tried to load it again using the same machine, I got this error:
```
Traceback (most rece... | {
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https://github.com/huggingface/datasets/pull/5830 | 5,830 | Debug windows #2 | {
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https://github.com/huggingface/datasets/issues/5829 | 5,829 | (mach-o file, but is an incompatible architecture (have 'arm64', need 'x86_64')) | {
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"Can you paste the error stack trace?",
"That is weird. I can't reproduce it again after reboot.\r\n```python\r\nIn [2]: import platform\r\n\r\nIn [3]: platform.platform()\r\nOut[3]: 'macOS-13.2-arm64-arm-64bit'\r\n\r\nIn [4]: from datasets import load_dataset\r\n ...:\r\n ...: jazzy = load_dataset(\"nomic-ai... | 2023-05-08T10:07:14Z | 2023-06-30T11:39:14Z | 2023-05-09T00:46:42Z | NONE | null | null | ### Describe the bug
M2 MBP can't run
```python
from datasets import load_dataset
jazzy = load_dataset("nomic-ai/gpt4all-j-prompt-generations", revision='v1.2-jazzy')
```
### Steps to reproduce the bug
1. Use M2 MBP
2. Python 3.10.10 from pyenv
3. Run
```
from datasets import load_dataset
jazzy = load_... | {
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https://github.com/huggingface/datasets/issues/5828 | 5,828 | Stream data concatenation issue | {
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"Hi! \r\n\r\nYou can call `map` as follows to avoid the error:\r\n```python\r\naugmented_dataset_cln = dataset_cln['train'].map(augment_dataset, features=dataset_cln['train'].features)\r\n```",
"Thanks it is solved",
"Hi! \r\nI have run into the same problem with you. Could you please let me know how you solve ... | 2023-05-07T21:02:54Z | 2023-06-29T20:07:56Z | 2023-05-10T05:05:47Z | NONE | null | null | ### Describe the bug
I am not able to concatenate the augmentation of the stream data. I am using the latest version of dataset.
ValueError: The features can't be aligned because the key audio of features {'audio_id': Value(dtype='string',
id=None), 'audio': {'array': Sequence(feature=Value(dtype='float32', id=... | {
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https://github.com/huggingface/datasets/issues/5827 | 5,827 | load json dataset interrupt when dtype cast problem occured | {
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"Indeed the JSON dataset builder raises an error when it encounters an unexpected type.\r\n\r\nThere's an old PR open to add away to ignore such elements though, if it can help: https://github.com/huggingface/datasets/pull/2838"
] | 2023-05-07T04:52:09Z | 2023-05-10T12:32:28Z | null | NONE | null | null | ### Describe the bug
i have a json like this:
[
{"id": 1, "name": 1},
{"id": 2, "name": "Nan"},
{"id": 3, "name": 3},
....
]
，which have several problematic rows data like row 2, then i load it with datasets.load_dataset('json', data_files=['xx.json'], split='train'), it will report like this:
... | null | {
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https://github.com/huggingface/datasets/pull/5826 | 5,826 | Support working_dir in from_spark | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Added env var",
"@lhoestq would you or another maintainer be able to review please? :)",
"I removed the env var",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!<... | 2023-05-05T20:22:40Z | 2023-05-25T17:45:54Z | 2023-05-25T08:46:15Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/issues/5825 | 5,825 | FileNotFound even though exists | {
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"Hi! \r\n\r\nThis would only work if `bigscience/xP3` was a no-code dataset, but it isn't (it has a Python builder script).\r\n\r\nBut this should work: \r\n```python\r\nload_dataset(\"json\", data_files=\"https://huggingface.co/datasets/bigscience/xP3/resolve/main/ur/xp3_facebook_flores_spa_Latn-urd_Arab_devtest_a... | 2023-05-05T09:49:55Z | 2023-08-16T10:02:01Z | 2023-08-16T10:02:01Z | CONTRIBUTOR | null | null | ### Describe the bug
I'm trying to download https://huggingface.co/datasets/bigscience/xP3/resolve/main/ur/xp3_facebook_flores_spa_Latn-urd_Arab_devtest_ab-spa_Latn-urd_Arab.jsonl which works fine in my webbrowser, but somehow not with datasets. Am I doing sth wrong?
```
Downloading builder script: 100%
2.82k/2.8... | {
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https://github.com/huggingface/datasets/pull/5824 | 5,824 | Fix incomplete docstring for `BuilderConfig` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | 2023-05-05T07:34:28Z | 2023-05-05T12:39:14Z | 2023-05-05T12:31:54Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fixes #5820
Also fixed a couple of typos I spotted | {
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https://github.com/huggingface/datasets/issues/5823 | 5,823 | [2.12.0] DatasetDict.save_to_disk not saving to S3 | {
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"Hi ! Can you try adding the `s3://` prefix ?\r\n```python\r\nf\"s3://{s3_bucket}/{s3_dir}/{dataset_name}\"\r\n```",
"Ugh, yeah that was it. Thank you!",
"Hi @thejamesmarq, by any chance, did you use multiprocessing `num_proc > 1` when saving your dataset on the s3 bucket ? I'm struggling making it work in a mu... | 2023-05-05T05:22:59Z | 2024-05-30T16:11:31Z | 2023-05-05T15:01:17Z | NONE | null | null | ### Describe the bug
When trying to save a `DatasetDict` to a private S3 bucket using `save_to_disk`, the artifacts are instead saved locally, and not in the S3 bucket.
I have tried using the deprecated `fs` as well as the `storage_options` arguments and I get the same results.
### Steps to reproduce the bug
1. C... | {
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https://github.com/huggingface/datasets/issues/5822 | 5,822 | Audio Dataset with_format torch problem | {
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"Hi ! Can you try with a more recent version of `datasets` ?",
"Ok, yes it worked with the most recent version. Thanks"
] | 2023-05-04T20:07:51Z | 2023-05-11T20:45:53Z | 2023-05-11T20:45:53Z | NONE | null | null | ### Describe the bug
Common Voice v10 Delta (German) Dataset from here https://commonvoice.mozilla.org/de/datasets
```
audio_dataset = \
(Dataset
.from_dict({"audio": ('/tmp/cv-corpus-10.0-delta-2022-07-04/de/clips/' + df.path).to_list()})
.cast_column("audio", Audio(sampling_rate=16_000))
.with... | {
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https://github.com/huggingface/datasets/pull/5821 | 5,821 | IterableDataset Arrow formatting | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | 2023-05-04T17:23:43Z | 2023-05-31T09:43:26Z | 2023-05-31T09:36:18Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Adding an optional `.iter_arrow` to examples iterable. This allows to use Arrow formatting in map/filter.
This will also be useful for torch formatting, since we can reuse the TorchFormatter that converts Arrow data to torch tensors
Related to https://github.com/huggingface/datasets/issues/5793 and https://github... | {
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https://github.com/huggingface/datasets/issues/5820 | 5,820 | Incomplete docstring for `BuilderConfig` | {
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"Thanks for reporting! You are more than welcome to improve `BuilderConfig`'s docstring.\r\n\r\nThis class serves an identical purpose as `tensorflow_datasets`'s `BuilderConfig`, and its docstring is [here](https://github.com/tensorflow/datasets/blob/a95e38b5bb018312c3d3720619c2a8ef83ebf57f/tensorflow_datasets/core... | 2023-05-04T12:14:34Z | 2023-05-05T12:31:56Z | 2023-05-05T12:31:56Z | CONTRIBUTOR | null | null | Hi guys !
I stumbled upon this docstring while working on a project.
Some of the attributes have missing descriptions.
https://github.com/huggingface/datasets/blob/bc5fef5b6d91f009e4101684adcb374df2c170f6/src/datasets/builder.py#L104-L117 | {
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https://github.com/huggingface/datasets/issues/5819 | 5,819 | Cannot pickle error in Dataset.from_generator() | {
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"Hi! It should work if you put `model = torch.compile(model)` inside the `generate_data` function. If a referenced object is outside, it needs to be pickable, and that's not the case for the compiled models (or functions). ",
"> Hi! It should work if you put `model = torch.compile(model)` inside the `generate_da... | 2023-05-04T08:39:09Z | 2023-05-05T19:20:59Z | 2023-05-05T19:20:58Z | NONE | null | null | ### Describe the bug
I'm trying to use Dataset.from_generator() to generate a large dataset.
### Steps to reproduce the bug
Code to reproduce:
```
from transformers import T5Tokenizer, T5ForConditionalGeneration, GenerationConfig
import torch
from tqdm import tqdm
from datasets import load_dataset
tokenizer... | {
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https://github.com/huggingface/datasets/issues/5818 | 5,818 | Ability to update a dataset | {
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"This [reply](https://discuss.huggingface.co/t/how-do-i-add-things-rows-to-an-already-saved-dataset/27423) from @mariosasko on the forums may be useful :)",
"In this case, I think we can avoid the `PermissionError` by unpacking the underlying `ConcatenationTable` and saving only the newly added data blocks (in ne... | 2023-05-04T01:08:13Z | 2023-05-04T20:43:39Z | null | NONE | null | null | ### Feature request
The ability to load a dataset, add or change something, and save it back to disk.
Maybe it's possible, but I can't work out how to do it, e.g. this fails:
```py
import datasets
dataset = datasets.load_from_disk("data/test1")
dataset = dataset.add_item({"text": "A new item"})
dataset.sav... | null | {
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https://github.com/huggingface/datasets/issues/5817 | 5,817 | Setting `num_proc` errors when `.map` returns additional items. | {
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"Hi ! Unfortunately I couldn't reproduce on my side locally and with datasets 2.11 and python 3.10.11 on colab.\r\nWhat version of `multiprocess` are you using ?",
"I've got `multiprocess` version `0.70.14`.\r\n\r\nI've done some more testing and the error only occurs in PyCharm's Python Console. It seems to be [... | 2023-05-03T21:46:53Z | 2023-05-04T21:14:21Z | 2023-05-04T20:22:25Z | NONE | null | null | ### Describe the bug
I'm using a map function that returns more rows than are passed in.
If I try to use `num_proc` I get:
```
File "/home/davidg/.virtualenvs/learning/lib/python3.10/site-packages/datasets/arrow_dataset.py", line 563, in wrapper
out: Union["Dataset", "DatasetDict"] = func(self, *args, **kw... | {
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https://github.com/huggingface/datasets/pull/5816 | 5,816 | Preserve `stopping_strategy` of shuffled interleaved dataset (random cycling case) | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | read_batch_formatted_as_numpy after write_flattened_sequence | read_batch_formatted_a... | 2023-05-03T18:34:18Z | 2023-05-04T14:31:55Z | 2023-05-04T14:24:49Z | COLLABORATOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Preserve the `stopping_strategy` in the `RandomlyCyclingMultiSourcesExamplesIterable.shard_data_sources` to fix shuffling a dataset interleaved (from multiple sources) with probabilities.
Fix #5812
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https://github.com/huggingface/datasets/pull/5814 | 5,814 | Repro windows crash | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5814). All of your documentation changes will be reflected on that endpoint."
] | 2023-05-02T23:30:18Z | 2024-01-08T18:30:45Z | 2024-01-08T18:30:45Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/issues/5815 | 5,815 | Easy way to create a Kaggle dataset from a Huggingface dataset? | {
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"Hi @hrbigelow , I'm no expert for such a question so I'll ping @lhoestq from the `datasets` library (also this issue could be moved there if someone with permission can do it :) )",
"Hi ! Many datasets are made of several files, and how they are parsed often requires a python script. Because of that, datasets li... | 2023-05-02T21:43:33Z | 2023-07-26T16:13:31Z | null | NONE | null | null | I'm not sure whether this is more appropriately addressed with HuggingFace or Kaggle. I would like to somehow directly create a Kaggle dataset from a HuggingFace Dataset.
While Kaggle does provide the option to create a dataset from a URI, that URI must point to a single file. For example:
![image](https://user... | null | {
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https://github.com/huggingface/datasets/pull/5813 | 5,813 | [DO-NOT-MERGE] Debug Windows issue at #3 | {
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https://github.com/huggingface/datasets/issues/5812 | 5,812 | Cannot shuffle interleaved IterableDataset with "all_exhausted" stopping strategy | {
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Shuffling interleaved `IterableDataset` with "all_exhausted" strategy yields non-exhaustive sampling.
### Steps to reproduce the bug
```py
from datasets import IterableDataset, interleave_datasets
def gen(bias, length):
for i in range(length):
yield dict(a=bias+i)
seed = 42
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https://github.com/huggingface/datasets/issues/5811 | 5,811 | load_dataset: TypeError: 'NoneType' object is not callable, on local dataset filename changes | {
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"This error means a `DatasetBuilder` subclass that generates the dataset could not be found inside the script, so make sure `dushowxa-characters/dushowxa-characters.py `is a valid dataset script (assuming `path_or_dataset` is `dushowxa-characters`)\r\n\r\nAlso, we should improve the error to make it more obvious wh... | 2023-04-30T13:27:17Z | 2025-02-27T07:32:30Z | null | NONE | null | null | ### Describe the bug
I've adapted Databrick's [train_dolly.py](/databrickslabs/dolly/blob/master/train_dolly.py) to train using a local dataset, which has been working. Upon changing the filenames of the `.json` & `.py` files in my local dataset directory, `dataset = load_dataset(path_or_dataset)["train"]` throws th... | null | {
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https://github.com/huggingface/datasets/pull/5810 | 5,810 | Add `fn_kwargs` to `map` and `filter` of `IterableDataset` and `IterableDatasetDict` | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Sorry, the local test passed because it was inadvertently testing the main branch. I am currently fixing where the test failed.",
"- I have fixed the bug and addressed the above two points.\r\n- I have tested locally and confirmed ... | 2023-04-30T13:23:01Z | 2023-05-22T08:12:39Z | 2023-05-22T08:05:31Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | # Overview
I've added an argument`fn_kwargs` for map and filter methods of `IterableDataset` and `IterableDatasetDict` classes.
# Details
Currently, the map and filter methods of some classes related to `IterableDataset` do not allow specifing the arguments passed to the function. This pull request adds `fn_kwargs... | {
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https://github.com/huggingface/datasets/issues/5809 | 5,809 | wiki_dpr details for Open Domain Question Answering tasks | {
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"Hi ! I don't remember exactly how it was done, but maybe you have to embed `f\"{title}<sep>{text}\"` ?\r\n\r\nUsing a HF tokenizer it corresponds to doing\r\n```python\r\ntokenized = tokenizer(titles, texts)\r\n```"
] | 2023-04-30T06:12:04Z | 2023-07-21T14:11:00Z | 2023-07-21T14:11:00Z | NONE | null | null | Hey guys!
Thanks for creating the wiki_dpr dataset!
I am currently trying to combine wiki_dpr and my own datasets. but I don't know how to make the embedding value the same way as wiki_dpr.
As an experiment, I embeds the text of id="7" of wiki_dpr, but this result was very different from wiki_dpr. | {
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https://github.com/huggingface/datasets/pull/5807 | 5,807 | Support parallelized downloading in load_dataset with Spark | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5807). All of your documentation changes will be reflected on that endpoint.",
"Per the discussion in #5798, will implement with `jo... | 2023-04-28T18:34:32Z | 2023-05-25T16:54:14Z | 2023-05-25T16:54:14Z | CONTRIBUTOR | false | {
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Parallelizing dataset processing is not supported in this PR. | {
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https://github.com/huggingface/datasets/issues/5806 | 5,806 | Return the name of the currently loaded file in the load_dataset function. | {
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"Implementing this makes sense (e.g., `tensorflow_datasets`' imagefolder returns image filenames). Also, in Datasets 3.0, we plan only to store the bytes of an image/audio, not its path, so this feature would be useful when the path info is still needed.",
"Hey @mariosasko, Can I work on this issue, this one seem... | 2023-04-28T13:50:15Z | 2025-08-10T05:26:27Z | null | NONE | null | null | ### Feature request
Add an optional parameter return_file_name in the load_dataset function. When it is set to True, the function will include the name of the file corresponding to the current line as a feature in the returned output.
### Motivation
When training large language models, machine problems may interrupt... | null | {
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https://github.com/huggingface/datasets/issues/5805 | 5,805 | Improve `Create a dataset` tutorial | {
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"I can work on this. The link to the tutorial seems to be broken though @polinaeterna. ",
"@isunitha98selvan would be great, thank you! which link are you talking about? I think it should work: https://huggingface.co/docs/datasets/create_dataset",
"Hey I don't mind working on this issue. From my understanding, ... | 2023-04-28T13:26:22Z | 2024-07-26T21:16:13Z | null | CONTRIBUTOR | null | null | Our [tutorial on how to create a dataset](https://huggingface.co/docs/datasets/create_dataset) is a bit misleading.
1. In **Folder-based builders** section it says that we have two folder-based builders as standard builders, but we also have similar builders (that can be created from directory with data of required f... | null | {
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https://github.com/huggingface/datasets/pull/5804 | 5,804 | Set dev version | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchma... | 2023-04-28T10:10:01Z | 2023-04-28T10:18:51Z | 2023-04-28T10:10:29Z | MEMBER | false | {
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https://github.com/huggingface/datasets/pull/5803 | 5,803 | Release: 2.12.0 | {
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https://github.com/huggingface/datasets/pull/5802 | 5,802 | Validate non-empty data_files | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR adds validation of `data_files`, so that they are non-empty (str, list, or dict) or `None` (default).
See: https://github.com/huggingface/datasets/pull/5787#discussion_r1178862327 | {
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https://github.com/huggingface/datasets/pull/5800 | 5,800 | Change downloaded file permission based on umask | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR changes the permission of downloaded files to cache, so that the umask is taken into account.
Related to:
- #2157
Fix #5799.
CC: @stas00 | {
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https://github.com/huggingface/datasets/issues/5799 | 5,799 | Files downloaded to cache do not respect umask | {
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```bash
$ ls -l /path/to/cache/datasets/downloads/
-rw------- 1 uername username 150M Apr 25 16:41 5e646c1d600f065adaeb134e536f6f2f296a6d804bd1f0e1fdcd20ee28c185c6
```
Related to:
- #2065 | {
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https://github.com/huggingface/datasets/issues/5798 | 5,798 | Support parallelized downloading and processing in load_dataset with Spark | {
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"Hi ! We're using process pools for parallelism right now. I was wondering if there's a package that implements the same API as a process pool but runs with Spark under the hood ? That or something similar would be cool because users could use whatever distributed framework they want this way.\r\n\r\nFeel free to p... | 2023-04-27T00:16:11Z | 2023-05-25T14:11:41Z | null | CONTRIBUTOR | null | null | ### Feature request
When calling `load_dataset` for datasets that have multiple files, support using Spark to distribute the downloading and processing job to worker nodes when `cache_dir` is a cloud file system shared among nodes.
```python
load_dataset(..., use_spark=True)
```
### Motivation
Further speed up ... | null | {
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https://github.com/huggingface/datasets/issues/5797 | 5,797 | load_dataset is case sentitive? | {
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"Hi @haonan-li , thank you for the report! It seems to be a bug on the [`huggingface_hub`](https://github.com/huggingface/huggingface_hub) site, there is even no such dataset as `mbzuai/bactrian-x` on the Hub. I opened and [issue](https://github.com/huggingface/huggingface_hub/issues/1453) there.",
"I think `loa... | 2023-04-26T18:19:04Z | 2023-04-27T11:56:58Z | null | NONE | null | null | ### Describe the bug
load_dataset() function is case sensitive?
### Steps to reproduce the bug
The following two code, get totally different behavior.
1. load_dataset('mbzuai/bactrian-x','en')
2. load_dataset('MBZUAI/Bactrian-X','en')
### Expected behavior
Compare 1 and 2.
1 will download all 52 subsets, sh... | null | {
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https://github.com/huggingface/datasets/pull/5796 | 5,796 | Spark docs | {
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cc @maddiedawson | {
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https://github.com/huggingface/datasets/pull/5795 | 5,795 | Fix spark imports | {
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https://github.com/huggingface/datasets/issues/5794 | 5,794 | CI ZeroDivisionError | {
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"Hello!\r\nThis issue seems to have been fixed in https://github.com/huggingface/transformers/pull/24049 \r\nI was looking for my first issue to work on when I noticed this; not sure if there is a specific protocol for suggesting to close an issue.",
"Thanks for informing, @zeppdev. I am closing this issue.\r\n\r... | 2023-04-26T14:55:23Z | 2024-05-17T09:12:11Z | 2024-05-17T09:12:11Z | MEMBER | null | null | Sometimes when running our CI on Windows, we get a ZeroDivisionError:
```
FAILED tests/test_metric_common.py::LocalMetricTest::test_load_metric_frugalscore - ZeroDivisionError: float division by zero
```
See for example:
- https://github.com/huggingface/datasets/actions/runs/4809358266/jobs/8560513110
- https:/... | {
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https://github.com/huggingface/datasets/issues/5793 | 5,793 | IterableDataset.with_format("torch") not working | {
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"Hi ! Thanks for reporting, I'm working on it ;)"
] | 2023-04-26T10:50:23Z | 2023-06-13T15:57:06Z | 2023-06-13T15:57:06Z | NONE | null | null | ### Describe the bug
After calling the with_format("torch") method on an IterableDataset instance, the data format is unchanged.
### Steps to reproduce the bug
```python
from datasets import IterableDataset
def gen():
for i in range(4):
yield {"a": [i] * 4}
dataset = IterableDataset.from_generator(g... | {
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https://github.com/huggingface/datasets/issues/5791 | 5,791 | TIFF/TIF support | {
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"The issue with multichannel TIFF images has already been reported in Pillow (https://github.com/python-pillow/Pillow/issues/1888). We can't do much about it on our side.\r\n\r\nStill, to avoid the error, you can bypass the default Pillow decoding and define a custom one as follows:\r\n```python\r\nimport tifffile ... | 2023-04-25T16:14:18Z | 2024-01-15T16:40:33Z | 2024-01-15T16:40:16Z | NONE | null | null | ### Feature request
I currently have a dataset (with tiff and json files) where I have to do this:
`wget path_to_data/images.zip && unzip images.zip`
`wget path_to_data/annotations.zip && unzip annotations.zip`
Would it make sense a contribution that supports these type of files?
### Motivation
instead o... | {
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https://github.com/huggingface/datasets/pull/5790 | 5,790 | Allow to run CI on push to ci-branch | {
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"_The documentation is not available anymore as the PR was closed or merged._",
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR allows to run the CI on push to a branch named "ci-*", without needing to open a PR.
- This will allow to make CI tests without opening a PR, e.g., for future `huggingface-hub` releases, future dependency releases (like `fsspec`, `pandas`,...)
Note that to build the documentation, we already allow it on pus... | {
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https://github.com/huggingface/datasets/issues/5789 | 5,789 | Support streaming datasets that use jsonlines | {
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] | open | false | [] | 2023-04-25T07:40:02Z | 2023-04-25T07:40:03Z | null | MEMBER | null | null | Extend support for streaming datasets that use `jsonlines.open`.
Currently, if `jsonlines` is installed, `datasets` raises a `FileNotFoundError`:
```
FileNotFoundError: [Errno 2] No such file or directory: 'https://...'
```
See:
- https://huggingface.co/datasets/masakhane/afriqa/discussions/1 | null | {
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https://github.com/huggingface/datasets/pull/5788 | 5,788 | Prepare tests for hfh 0.14 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Related to the coming release of `huggingface_hub==0.14.0`. It will break some internal tests. The PR fixes these tests. Let's double-check the CI but I expect the fixed tests to be running fine with both `hfh<=0.13.4` and `hfh==0.14`. Worth case scenario, existing PRs will have to be rebased once this fix is merged.
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https://github.com/huggingface/datasets/pull/5787 | 5,787 | Fix inferring module for unsupported data files | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<det... | 2023-04-24T10:44:50Z | 2023-04-27T13:06:01Z | 2023-04-27T12:57:28Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR raises a FileNotFoundError instead:
```
FileNotFoundError: No (supported) data files or dataset script found in <dataset_name>
```
Fix #5785. | {
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https://github.com/huggingface/datasets/issues/5786 | 5,786 | Multiprocessing in a `filter` or `map` function with a Pytorch model | {
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"Hi ! PyTorch may hang when calling `load_state_dict()` in a subprocess. To fix that, set the multiprocessing start method to \"spawn\". Since `datasets` uses `multiprocess`, you should do:\r\n\r\n```python\r\n# Required to avoid issues with pytorch (otherwise hangs during load_state_dict in multiprocessing)\r\nimp... | 2023-04-24T10:38:07Z | 2023-05-30T09:56:30Z | 2023-04-24T10:43:58Z | NONE | null | null | ### Describe the bug
I am trying to use a Pytorch model loaded on CPUs with multiple processes with a `.map` or a `.filter` method.
Usually, when dealing with models that are non-pickable, creating a class such that the `map` function is the method `__call__`, and adding `reduce` helps to solve the problem.
Howe... | {
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https://github.com/huggingface/datasets/issues/5785 | 5,785 | Unsupported data files raise TypeError: 'NoneType' object is not iterable | {
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] | closed | false | [] | 2023-04-24T10:38:03Z | 2023-04-27T12:57:30Z | 2023-04-27T12:57:30Z | MEMBER | null | null | Currently, we raise a TypeError for unsupported data files:
```
TypeError: 'NoneType' object is not iterable
```
See:
- https://github.com/huggingface/datasets-server/issues/1073
We should give a more informative error message. | {
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https://github.com/huggingface/datasets/pull/5784 | 5,784 | Raise subprocesses traceback when interrupting | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | 2023-04-24T10:34:03Z | 2023-04-26T16:04:42Z | 2023-04-26T15:54:44Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | When a subprocess hangs in `filter` or `map`, one should be able to get the subprocess' traceback when interrupting the main process. Right now it shows nothing.
To do so I `.get()` the subprocesses async results even the main process is stopped with e.g. `KeyboardInterrupt`. I added a timeout in case the subprocess... | {
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https://github.com/huggingface/datasets/issues/5783 | 5,783 | Offset overflow while doing regex on a text column | {
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"Hi! This looks like an Arrow bug, but it can be avoided by reducing the `writer_batch_size`.\r\n\r\n(`ds = ds.map(get_text_caption, writer_batch_size=100)` in Colab runs without issues)\r\n",
"@mariosasko I ran into this problem with load_dataset. What should I do",
"@AisingioroHao0 You can also pass the `wri... | 2023-04-22T19:12:03Z | 2023-09-22T06:44:07Z | null | NONE | null | null | ### Describe the bug
`ArrowInvalid: offset overflow while concatenating arrays`
Same error as [here](https://github.com/huggingface/datasets/issues/615)
### Steps to reproduce the bug
Steps to reproduce: (dataset is a few GB big so try in colab maybe)
```
import datasets
import re
ds = datasets.lo... | null | {
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https://github.com/huggingface/datasets/issues/5782 | 5,782 | Support for various audio-loading backends instead of always relying on SoundFile | {
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"Hi! \r\n\r\nYou can use `set_transform`/`with_transform` to define a custom decoding for audio formats not supported by `soundfile`:\r\n```python\r\naudio_dataset_amr = Dataset.from_dict({\"audio\": [\"audio_samples/audio.amr\"]})\r\n\r\ndef decode_audio(batch):\r\n batch[\"audio\"] = [read_ffmpeg(audio_path) f... | 2023-04-22T17:09:25Z | 2023-05-10T20:23:04Z | 2023-05-10T20:23:04Z | NONE | null | null | ### Feature request
Introduce an option to select from a variety of audio-loading backends rather than solely relying on the SoundFile library. For instance, if the ffmpeg library is installed, it can serve as a fallback loading option.
### Motivation
- The SoundFile library, used in [features/audio.py](https://gith... | {
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https://github.com/huggingface/datasets/issues/5781 | 5,781 | Error using `load_datasets` | {
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"It looks like an issue with your installation of scipy, can you try reinstalling it ?",
"Sorry for the late reply, but that worked @lhoestq . Thanks for the assist."
] | 2023-04-22T15:10:44Z | 2023-05-02T23:41:25Z | 2023-05-02T23:41:25Z | NONE | null | null | ### Describe the bug
I tried to load a dataset using the `datasets` library in a conda jupyter notebook and got the below error.
```
ImportError: dlopen(/Users/gilbertyoung/miniforge3/envs/review_sense/lib/python3.8/site-packages/scipy/sparse/linalg/_isolve/_iterative.cpython-38-darwin.so, 0x0002): Library not ... | {
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https://github.com/huggingface/datasets/issues/5780 | 5,780 | TypeError: 'NoneType' object does not support item assignment | {
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```
def load_datasets(formats, data_dir=datadir, data_files=datafile）：
dataset = load_dataset(formats, data_dir=datadir, data_files=datafile, split=split, streaming=True, **kwargs)
return dataset
raw_datasets = DatasetDict()
raw_datasets["train"] = load_datasets(“csv”, args.datadir, "train.csv", s... | {
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https://github.com/huggingface/datasets/pull/5779 | 5,779 | Call fs.makedirs in save_to_disk | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | 2023-04-21T15:04:28Z | 2023-04-26T12:20:01Z | 2023-04-26T12:11:15Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | We need to call `fs.makedirs` when saving a dataset using `save_to_disk`, because some fs implementations have actual directories (S3 and others don't)
Close https://github.com/huggingface/datasets/issues/5775 | {
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https://github.com/huggingface/datasets/issues/5778 | 5,778 | Schrödinger's dataset_dict | {
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"Hi ! Passing `data_files=\"path/test.json\"` is equivalent to `data_files={\"train\": [\"path/test.json\"]}`, that's why you end up with a train split. If you don't pass `data_files=`, then split names are inferred from the data files names"
] | 2023-04-21T08:38:12Z | 2023-07-24T15:15:14Z | 2023-07-24T15:15:14Z | NONE | null | null | ### Describe the bug
If you use load_dataset('json', data_files="path/test.json"), it will return DatasetDict({train:...}).
And if you use load_dataset("path"), it will return DatasetDict({test:...}).
Why can't the output behavior be unified?
### Steps to reproduce the bug
as description above.
### Expected b... | {
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https://github.com/huggingface/datasets/issues/5777 | 5,777 | datasets.load_dataset("code_search_net", "python") : NotADirectoryError: [Errno 20] Not a directory | {
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"Note:\r\nI listed the datasets and grepped around to find what appears to be an alternative source for this:\r\n\r\nraw_datasets = load_dataset(\"espejelomar/code_search_net_python_10000_examples\", \"python\")",
"Thanks for reporting, @jason-brian-anderson.\r\n\r\nYes, this is a known issue: the [CodeSearchNet]... | 2023-04-21T02:08:07Z | 2023-06-05T05:49:52Z | 2023-05-11T11:51:56Z | NONE | null | null | ### Describe the bug
While checking out the [tokenizer tutorial](https://huggingface.co/course/chapter6/2?fw=pt), i noticed getting an error while initially downloading the python dataset used in the examples.
The [collab with the error is here](https://colab.research.google.com/github/huggingface/notebooks/blob/ma... | {
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https://github.com/huggingface/datasets/issues/5776 | 5,776 | Use Pandas' `read_json` in the JSON builder | {
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] | open | false | [] | 2023-04-20T17:15:49Z | 2023-04-20T17:15:49Z | null | COLLABORATOR | null | null | Instead of PyArrow's `read_json`, we should use `pd.read_json` in the JSON builder for consistency with the CSV and SQL builders (e.g., to address https://github.com/huggingface/datasets/issues/5725).
In Pandas2.0, to get the same performance, we can set the `engine` to "pyarrow". The issue is that Colab still doesn... | null | {
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