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value:Suggest scikit-learn instead of sklearn
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value:This is kinda unimportant fix but, the suggested `pip install sklearn` does not work. The current error message if sklearn is not installed: ``` ImportError: To be able to use [dataset name], you need to install the following dependency: sklearn. Please install it using 'pip install sklearn' for instance....
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value:Resolve four broken refs in the docs
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value:Hello! ## Pull Request overview * Resolve 4 broken references in the docs ## The problems Two broken references [here](https://huggingface.co/docs/datasets/package_reference/main_classes#datasets.Dataset.class_encode_column): ![image](https://user-images.githubusercontent.com/37621491/220056232-366b64dc...
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value:Fix #5548 Apply ruff's flake8-comprehension checks for better performance, and more readable code.
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value:### Feature request Apply ruff flake8 comprehension checks to codebase. ### Motivation This should strictly improve the performance / readability of the codebase by removing unnecessary iteration, function calls, etc. This should generate better Python bytecode which should strictly improve performance. I ...
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value:Add JAX device selection when formatting
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value:## What's in this PR? After exploring for a while the JAX integration in 🤗`datasets`, I found out that, even though JAX prioritizes the TPU and GPU as the default device when available, the `JaxFormatter` doesn't let you specify the device where you want to place the `jax.Array`s in case you don't want to rel...
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value:Downloaded datasets do not cache at $HF_HOME
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value:### Describe the bug In the huggingface course (https://huggingface.co/course/chapter3/2?fw=pt) it said that if we set HF_HOME, downloaded datasets would be cached at specified address but it does not. downloaded models from checkpoint names are downloaded and cached at HF_HOME but this is not the case for datas...
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value:Added return methods for URL-references to the pushed dataset
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value:Hi, I was missing the ability to easily open the pushed dataset and it seemed like a quick fix. Maybe we also want to log this info somewhere, but let me know if I need to add that too. Cheers, David
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value:the pile datasets url seems to change back
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value:### Describe the bug in #3627, the host url of the pile dataset became `https://mystic.the-eye.eu`. Now the new url is broken, but `https://the-eye.eu` seems to work again. ### Steps to reproduce the bug ```python3 from datasets import load_dataset dataset = load_dataset("bookcorpusopen") ``` shows ```pyt...
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value:Fixes https://github.com/huggingface/datasets/issues/5541
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value:Flattening indices in selected datasets is extremely inefficient
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value:### Describe the bug If we perform a `select` (or `shuffle`, `train_test_split`, etc.) operation on a dataset , we end up with a dataset with an `indices_table`. Currently, flattening such dataset consumes a lot of memory and the resulting flat dataset contains ChunkedArrays with as many chunks as there are row...
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value:Tutorial for creating a dataset
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value:A tutorial for creating datasets based on the folder-based builders and `from_dict` and `from_generator` methods. I've also mentioned loading scripts as a next step, but I think we should keep the tutorial focused on the low-code methods. Let me know what you think! 🙂
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value:IndexError: invalid index of a 0-dim tensor. Use `tensor.item()` in Python or `tensor.item<T>()` in C++ to convert a 0-dim tensor to a number
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value:### Describe the bug When dataset contains a 0-dim tensor, formatting.py raises a following error and fails. ```bash Traceback (most recent call last): File "<path>/lib/python3.8/site-packages/datasets/formatting/formatting.py", line 501, in format_row return _unnest(formatted_batch) File "<path>/...
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value:load_dataset in seaborn is not working for me. getting this error.
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value:TimeoutError Traceback (most recent call last) ~\anaconda3\lib\urllib\request.py in do_open(self, http_class, req, **http_conn_args) 1345 try: -> 1346 h.request(req.get_method(), req.selector, req.data, headers, 1347 enco...
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value:Increase speed of data files resolution
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value:Certain datasets like `bigcode/the-stack-dedup` have so many files that loading them takes forever right from the data files resolution step. `datasets` uses file patterns to check the structure of the repository but it takes too much time to iterate over and over again on all the data files. This comes fro...
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value:Failure to hash function when using .map()
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value:### Describe the bug _Parameter 'function'=<function process at 0x7f1ec4388af0> of the transform datasets.arrow_dataset.Dataset.\_map_single couldn't be hashed properly, a random hash was used instead. Make sure your transforms and parameters are serializable with pickle or dill for the dataset fingerprinting ...
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value:Add JAX-formatting documentation
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value:## What's in this PR? As a follow-up of #5522, I've created this entry in the documentation to explain how to use `.with_format("jax")` and why is it useful. @lhoestq Feel free to drop any feedback and/or suggestion, as probably more useful features can be included there!
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value:map() breaks at certain dataset size when using Array3D
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value:### Describe the bug `map()` magically breaks when using a `Array3D` feature and mapping it. I created a very simple dummy dataset (see below). When filtering it down to 95 elements I can apply map, but it breaks when filtering it down to just 96 entries with the following exception: ``` Traceback (most rece...
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value:Add reduce function
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value:This PR closes #5496 . I tried to imitate the `reduce`-method from `functools`, i.e. the function input must be a binary operation. I assume that the input type has an empty element, i.e. `input_type()` is defined, as the acumulant is instantiated as this object - im not sure that is this a reasonable assumpti...
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value:train_test_split in arrow_dataset does not ensure to keep single classes in test set
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value:### Describe the bug When I have a dataset with very few (e.g. 1) examples per class and I call the train_test_split function on it, sometimes the single class will be in the test set. thus will never be considered for training. ### Steps to reproduce the bug ``` import numpy as np from datasets import Datas...
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value:Invalid Arrow data from JSONL
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value:This code fails: ```python from datasets import Dataset ds = Dataset.from_json(path_to_file) ds.data.validate() ``` raises ```python ArrowInvalid: Column 2: In chunk 1: Invalid: Struct child array #3 invalid: Invalid: Length spanned by list offsets (4064) larger than values array (length 4063) ``` ...
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value:Add missing license in `NumpyFormatter`
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value:## What's in this PR? As discussed with @lhoestq in https://github.com/huggingface/datasets/pull/5522, the license for `NumpyFormatter` at `datasets/formatting/np_formatter.py` was missing, but present on the rest of the `formatting/*.py` files. So this PR is basically to include it there.
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value:## What's in this PR? After playing around a little bit with 🤗`datasets` in Google Cloud Storage (GCS), I found out some things that should be fixed IMO in the code: * `datasets.load_from_disk` is not checking whether `state.json` is there too when trying to load a `Dataset`, just `dataset_info.json` is ch...
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value:Fixes #5492. Introduce new kwarg `create_pr` in `push_to_hub`, which is passed to `HFapi.upload_file`.
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value:Fix benchmarks CI - pin protobuf
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value:fix https://github.com/huggingface/datasets/actions/runs/4156059127/jobs/7189576331
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value:Fixes #5428 Allow loading/saving of FAISS index using fsspec: 1. Simply use BufferedIOWriter/Reader to Read/Write indices on fsspec stream. 2. Needed `mockfs` in the test, so I took it out of the `TestCase`. Let me know if that makes sense. I can work on the documentation once the code changes are appro...
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value:### Describe the bug Processing a dataset I alredy uploaded to the Hub (https://huggingface.co/datasets/tj-solergibert/Europarl-ST) I found that for some splits and some languages (test split, source_lang = "nl") after applying a map function I get the mentioned error. I alredy tried reseting the shorter s...
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value:Hi to whoever is reading this! 🤗 ## What's in this PR? ~~Basically, I've removed the 🤗`datasets` installation as `python -m pip install ".[quality]" in the `check_code_quality` job in `.github/workflows/ci.yaml`, as we don't need to install the whole package to run the CI, unless that's done on purpose e....
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value:Checking that split name is correct happens only after the data is downloaded
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value:### Describe the bug Verification of split names (=indexing data by split) happens after downloading the data. So when the split name is incorrect, users learn about that only after the data is fully downloaded, for large datasets it might take a lot of time. ### Steps to reproduce the bug Load any dataset wit...
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value:Minor changes in JAX-formatting docstrings & type-hints
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value:Hi to whoever is reading this! 🤗 ## What's in this PR? I was exploring the code regarding the `JaxFormatter` implemented in 🤗`datasets`, and found some things that IMO could be changed. Those are mainly regarding the docstrings and the type-hints based on `jax`'s 0.4.1 release where `jax.Array` was introd...
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value:Fix bug when casting empty array to class labels
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value:Fix https://github.com/huggingface/datasets/issues/5520.
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value:ClassLabel.cast_storage raises TypeError when called on an empty IntegerArray
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value:### Describe the bug `ClassLabel.cast_storage` raises `TypeError` when called on an empty `IntegerArray`. ### Steps to reproduce the bug Minimal steps: ```python import pyarrow as pa from datasets import ClassLabel ClassLabel(names=['foo', 'bar']).cast_storage(pa.array([], pa.int64())) ``` In practic...
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value:Lint code with `ruff`
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value:EDIT: Use `ruff` for linting instead of `isort` and `flake8` ~~`black`~~ to be consistent with [`transformers`](https://github.com/huggingface/transformers/pull/21480) and [`hfh`](https://github.com/huggingface/huggingface_hub/pull/1323). TODO: - [x] ~Merge the community contributors' PR to avoid having to r...
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value:`with_format("numpy")` silently downcasts float64 to float32 features
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value:### Describe the bug When I create a dataset with a `float64` feature, then apply numpy formatting the returned numpy arrays are silently downcasted to `float32`. ### Steps to reproduce the bug ```python import datasets dataset = datasets.Dataset.from_dict({'a': [1.0, 2.0, 3.0]}).with_format("numpy") ...
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value:Reload features from Parquet metadata
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value:Resolves #5482. Attaches feature metadata to parquet files serialised using `Dataset.to_parquet`. This allows retrieving data with "rich" feature types (e.g., `datasets.features.image.Image` or `datasets.features.audio.Audio`) from parquet files without cumbersome casting (for an example, see #5482). @...
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value:Unify `load_from_cache_file` type and logic
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value:* Updating type annotations for #`load_from_cache_file` * Added logic for cache checking if needed * Updated documentation following the wording of `Dataset.map`
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value:### Feature request 1. Replace the `load_from_cache_file` default value to `True`. 2. Remove or alter checks from `is_caching_enabled` logic. ### Motivation I stumbled over an inconsistency in the `Dataset.map` interface. The documentation (and source) states for the parameter `load_from_cache_file`: ``` ...
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value:Some functions use a param named `type` shouldn't that be avoided since it's a Python reserved name?
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value:2023-07-24T14:27:59Z
value:Hi @mariosasko, @lhoestq, or whoever reads this! :) After going through `ArrowDataset.set_format` I found out that the `type` param is actually named `type` which is a Python reserved name as you may already know, shouldn't that be renamed to `format_type` before the 3.0.0 is released? Just wanted to get yo...
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value:I implemented `__getitems__` to speed up batched data loading in PyTorch close https://github.com/huggingface/datasets/issues/5505
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value:Creating a dummy dataset from a bigger one
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value:### Describe the bug I often want to create a dummy dataset from a bigger dataset for fast iteration when training. However, I'm having a hard time doing this especially when trying to upload the dataset to the Hub. ### Steps to reproduce the bug ```python from datasets import load_dataset dataset = load_d...
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value:Signed-off-by: Filip Haltmayer <filip.haltmayer@zilliz.com>
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value:Add a static `__all__` to `__init__.py` for typecheckers
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value:This adds a static `__all__` field to `__init__.py`, allowing typecheckers to know which symbols are accessible from `datasets` at runtime. In particular [Pyright](https://github.com/microsoft/pylance-release/issues/2328#issuecomment-1029381258) seems to rely on this. At this point I have added all (modulo oversi...
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value:Saving a dataset after setting format to torch doesn't work, but only if filtering
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value:### Describe the bug Saving a dataset after setting format to torch doesn't work, but only if filtering ### Steps to reproduce the bug ``` a = Dataset.from_dict({"b": [1, 2]}) a.set_format('torch') a.save_to_disk("test_save") # saves successfully a.filter(None).save_to_disk("test_save_filter") # does not ...
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value:Optimise behaviour in respect to indices mapping
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value:_Originally [posted](https://huggingface.slack.com/archives/C02V51Q3800/p1675443873878489?thread_ts=1675418893.373479&cid=C02V51Q3800) on Slack_ Considering all this, perhaps for Datasets 3.0, we can do the following: * [ ] have `continuous=True` by default in `.shard` (requested in the survey and makes more...
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value:IterableDataset and Dataset return different batch sizes when using Trainer with multiple GPUs
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value:### Describe the bug I am training a Roberta model using 2 GPUs and the `Trainer` API with a batch size of 256. Initially I used a standard `Dataset`, but had issues with slow data loading. After reading [this issue](https://github.com/huggingface/datasets/issues/2252), I swapped to loading my dataset as cont...
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value:PyTorch BatchSampler still loads from Dataset one-by-one
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value:### Describe the bug In [the docs here](https://huggingface.co/docs/datasets/use_with_pytorch#use-a-batchsampler), it mentions the issue of the Dataset being read one-by-one, then states that using a BatchSampler resolves the issue. I'm not sure if this is a mistake in the docs or the code, but it seems that ...
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value:Fixes https://github.com/huggingface/datasets/issues/5495 I'm not sure whether we prefer a test here or if timestamps are known to be unsupported (like booleans). The current test at least covers the bug
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value:Added functionality implementation: sort datasets by multiple keys/columns as discussed in https://github.com/huggingface/datasets/issues/5425.
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value:Increase chunk size for speeding up file downloads
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value:Original fix: https://github.com/huggingface/huggingface_hub/pull/1267 Not sure this function is actually still called though. I haven't done benches on this. Is there a dataset where files are hosted on the hub through cloudfront so we can have the same setup as in `hf_hub` ?
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value:WMT19 custom download checksum error
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value:### Describe the bug I use the following scripts to download data from WMT19: ```python import datasets from datasets import inspect_dataset, load_dataset_builder from wmt19.wmt_utils import _TRAIN_SUBSETS,_DEV_SUBSETS ## this is a must due to: https://discuss.huggingface.co/t/load-dataset-hangs-with-lo...
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value:`load_dataset` has ~4 seconds of overhead for cached data
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value:### Feature request When loading a dataset that has been cached locally, the `load_dataset` function takes a lot longer than it should take to fetch the dataset from disk (or memory). This is particularly noticeable for smaller datasets. For example, wikitext-2, comparing `load_data` (once cached) and `load_fro...
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value:TypeError: 'bool' object is not iterable when filtering a datasets.arrow_dataset.Dataset
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value:### Describe the bug Hi, Thanks for the amazing work on the library! **Describe the bug** I think I might have noticed a small bug in the filter method. Having loaded a dataset using `load_dataset`, when I try to filter out empty entries with `batched=True`, I get a TypeError. ### Steps to reproduc...
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value:Improved error message for gated/private repos
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value:Using `use_auth_token=True` is not needed anymore. If a user logged in, the token will be automatically retrieved. Also include a mention for gated repos See https://github.com/huggingface/huggingface_hub/pull/1064
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value:### Feature request Right now the `Dataset` class implements `map()` and `filter()`, but leaves out the third functional idiom popular among Python users: `reduce`. ### Motivation A `reduce` method is often useful when calculating dataset statistics, for example, the occurrence of a particular n-gram or the a...
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value:to_tf_dataset fails with datetime UTC columns even if not included in columns argument
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value:### Describe the bug There appears to be some eager behavior in `to_tf_dataset` that runs against every column in a dataset even if they aren't included in the columns argument. This is problematic with datetime UTC columns due to them not working with zero copy. If I don't have UTC information in my datetime ...
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value:Update audio installation doc page
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value:Our [installation documentation page](https://huggingface.co/docs/datasets/installation#audio) says that one can use Datasets for mp3 only with `torchaudio<0.12`. `torchaudio>0.12` is actually supported too but requires a specific version of ffmpeg which is not easily installed on all linux versions but there is ...
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value:Remove unused `load_from_cache_file` arg from `Dataset.shard()` docstring
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value:Push_to_hub in a pull request
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value:Right now `ds.push_to_hub()` can push a dataset on `main` or on a new branch with `branch=`, but there is no way to open a pull request. Even passing `branch=refs/pr/x` doesn't seem to work: it tries to create a branch with that name cc @nateraw It should be possible to tweak the use of `huggingface_hub` i...
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value:Do not add index column by default when exporting to CSV
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value:As pointed out by @merveenoyan, default behavior of `Dataset.to_csv` adds the index as an additional column without name. This PR changes the default behavior, so that now the index column is not written. To add the index column, now you need to pass `index=True` and also `index_label=<name of the index col...
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value:Pin dill lower version
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value:Pin `dill` lower version compatible with `datasets`. Related to: - #5487 - #288 Note that the required `dill._dill` module was introduced in dill-2.8.0, however we have heuristically tested that datasets can only be installed with dill>=3.0.0 (otherwise pip hangs indefinitely while preparing metadata for ...
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value:Error loading MP3 files from CommonVoice
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value:### Describe the bug When loading a CommonVoice dataset with `datasets==2.9.0` and `torchaudio>=0.12.0`, I get an error reading the audio arrays: ```python --------------------------------------------------------------------------- LibsndfileError Traceback (most recent call last)...
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value:Incorrect filepath for dill module
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value:### Describe the bug I installed the `datasets` package and when I try to `import` it, I get the following error: ``` Traceback (most recent call last): File "/var/folders/jt/zw5g74ln6tqfdzsl8tx378j00000gn/T/ipykernel_3805/3458380017.py", line 1, in <module> import datasets File "/Users/avivbr...
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value:Adding `sep` to TextConfig
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value:I have a local a `.txt` file that follows the `CONLL2003` format which I need to load using `load_script`. However, by using `sample_by='line'`, one can only split the dataset into lines without splitting each line into columns. Would it be reasonable to add a `sep` argument in combination with `sample_by='paragr...
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value:Add section in tutorial for IterableDataset
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value:Introduces an `IterableDataset` and how to access it in the tutorial section. It also adds a brief next step section at the end to provide a path for users who want more explanation and a path for users who want something more practical and learn how to preprocess these dataset types. It'll complement the awesome...
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value:This PR will fix the issue mentioned in #5461. Here is brief overview, ## Bug: Discrepancy between depth map of `nyu_depth_v2` dataset [here](https://huggingface.co/docs/datasets/main/en/depth_estimation) and actual depth map. Depth values somehow got **discretized/clipped** resulting in depth maps that are...
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value:### Describe the bug Uploading a simple dataset ends with an exception ### Steps to reproduce the bug I created a new conda env with python 3.10, pip installed datasets and: ```python >>> from datasets import load_dataset, load_from_disk, Dataset >>> d = Dataset.from_dict({"text": ["hello"] * 2}) >>>...
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value:Reload features from Parquet metadata
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value:The idea would be to allow this : ```python ds.to_parquet("my_dataset/ds.parquet") reloaded = load_dataset("my_dataset") assert ds.features == reloaded.features ``` And it should also work with Image and Audio types (right now they're reloaded as a dict type) This can be implemented by storing and read...
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value:Load a cached dataset as iterable
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value:The idea would be to allow something like ```python ds = load_dataset("c4", "en", as_iterable=True) ``` To be used to train models. It would load an IterableDataset from the cached Arrow files. Cc @stas00 Edit : from the discussions we may load from cache when streaming=True
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value:Select columns of Dataset or DatasetDict
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value:Close #5474 and #5468.
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value:audiofolder works on local env, but creates empty dataset in a remote one, what dependencies could I be missing/outdated
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value:### Describe the bug I'm using a custom audio dataset (400+ audio files) in the correct format for audiofolder. Although loading the dataset with audiofolder works in one local setup, it doesn't in a remote one (it just creates an empty dataset). I have both ffmpeg and libndfile installed on both computers, wh...
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value:From this [feedback](https://discuss.huggingface.co/t/nonmatchingsplitssizeserror/30033) on the forum, thought I'd include a tip for recomputing the metadata numbers if it is your own dataset.
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value:Once the source issue is fixed: - pandas-dev/pandas#51015 we should revert the pin introduced in: - #5476
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value:since sqlalchemy update to 2.0.0 the CI started to fail: https://github.com/huggingface/datasets/actions/runs/4023742457/jobs/6914976514 the error comes from pandas: https://github.com/pandas-dev/pandas/issues/51015
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value:Dataset scan time is much slower than using native arrow
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value:### Describe the bug I'm basically running the same scanning experiment from the tutorials https://huggingface.co/course/chapter5/4?fw=pt except now I'm comparing to a native pyarrow version. I'm finding that the native pyarrow approach is much faster (2 orders of magnitude). Is there something I'm missing th...
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value:Column project operation on `datasets.Dataset`
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value:### Feature request There is no operation to select a subset of columns of original dataset. Expected API follows. ```python a = Dataset.from_dict({ 'int': [0, 1, 2] 'char': ['a', 'b', 'c'], 'none': [None] * 3, }) b = a.project('int', 'char') # usually, .select() print(a.column_names) ...
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value:Add num_test_batches option
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value:`to_tf_dataset` calls can be very costly because of the number of test batches drawn during `_get_output_signature`. The test batches are draw in order to estimate the shapes when creating the tensorflow dataset. This is necessary when the shapes can be irregular, but not in cases when the tensor shapes are the s...
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value:Encourages users to create a dataset card on the Hub directly with the new metadata ui + import dataset card template instead of telling users to manually create and upload one.
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value:Remove deprecated `shard_size` arg from `.push_to_hub()`
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value:The docstrings say that it was supposed to be deprecated since version 2.4.0, can we remove it?
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value:Allow opposite of remove_columns on Dataset and DatasetDict
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value:### Feature request In this blog post https://huggingface.co/blog/audio-datasets, I noticed the following code: ```python COLUMNS_TO_KEEP = ["text", "audio"] all_columns = gigaspeech["train"].column_names columns_to_remove = set(all_columns) - set(COLUMNS_TO_KEEP) gigaspeech = gigaspeech.remove_columns(...
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value:Fix conda command in readme
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value:The [conda forge channel](https://anaconda.org/conda-forge/datasets) is lagging behind (as of right now, only 2.7.1 is available), we should recommend using the [Hugging face channel](https://anaconda.org/HuggingFace/datasets) that we are maintaining ``` conda install -c huggingface datasets ```
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value:remove pathlib.Path with URIs
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value:Pathlib will convert "//" to "/" which causes retry errors when downloading from cloud storage
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value:audiofolder creates empty dataset even though the dataset passed in follows the correct structure
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value:### Describe the bug The structure of my dataset folder called "my_dataset" is : data metadata.csv The data folder consists of all mp3 files and metadata.csv consist of file locations like 'data/...mp3 and transcriptions. There's 400+ mp3 files and corresponding transcriptions for my dataset. When I run the...
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value:NonMatchingChecksumError for hendrycks_test
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value:### Describe the bug The checksum of the file has likely changed on the remote host. ### Steps to reproduce the bug `dataset = nlp.load_dataset("hendrycks_test", "anatomy")` ### Expected behavior no error thrown ### Environment info - `datasets` version: 2.2.1 - Platform: macOS-13.1-arm64-arm-64bit ...
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value:Imagefolder docs: mention support of CSV and ZIP
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value:Concatenate on axis=1 with misaligned blocks
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value:Allow to concatenate on axis 1 two tables made of misaligned blocks. For example if the first table has 2 row blocks of 3 rows each, and the second table has 3 row blocks or 2 rows each. To do that, I slice the row blocks to re-align the blocks. Fix https://github.com/huggingface/datasets/issues/5413
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value:Discrepancy in `nyu_depth_v2` dataset
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value:### Describe the bug I think there is a discrepancy between depth map of `nyu_depth_v2` dataset [here](https://huggingface.co/docs/datasets/main/en/depth_estimation) and actual depth map. Depth values somehow got **discretized/clipped** resulting in depth maps that are different from actual ones. Here is a side-...
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value:Document that removing all the columns returns an empty document and the num_row is lost
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value:The library `aiohttp` performs a requoting of redirection URLs that unquotes the single quotation mark character: `%27` => `'` This is a problem for our Hugging Face Hub, which requires exact URL from location header. Specifically, in the query component of the URL (`https://netloc/path?query`), the value f...
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value:slice split while streaming
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value:### Describe the bug When using the `load_dataset` function with streaming set to True, slicing splits is apparently not supported. Did I miss this in the documentation? ### Steps to reproduce the bug `load_dataset("lhoestq/demo1",revision=None, streaming=True, split="train[:3]")` causes ValueError: Bad ...
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value:prebuilt dataset relies on `downloads/extracted`
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value:### Describe the bug I pre-built the dataset: ``` python -c 'import sys; from datasets import load_dataset; ds=load_dataset(sys.argv[1])' HuggingFaceM4/general-pmd-synthetic-testing ``` and it can be used just fine. now I wipe out `downloads/extracted` and it no longer works. ``` rm -r ~/.cache/huggi...
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value:feat: tqdm for `to_parquet`
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value:As described in #5418 I noticed also that the `to_json` function supports multi-workers whereas `to_parquet`, is that not possible/not needed with Parquet or something that hasn't been implemented yet?
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value:Single TQDM bar in multi-proc map
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value:Use the "shard generator approach with periodic progress updates" (used in `save_to_disk` and multi-proc `load_dataset`) in `Dataset.map` to enable having a single TQDM progress bar in the multi-proc mode. Closes https://github.com/huggingface/datasets/issues/771, closes https://github.com/huggingface/datasets...
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value:Save and resume the state of a DataLoader
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value:It would be nice when using `datasets` with a PyTorch DataLoader to be able to resume a training from a DataLoader state (e.g. to resume a training that crashed) What I have in mind (but lmk if you have other ideas or comments): For map-style datasets, this requires to have a PyTorch Sampler state that can ...
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value:Fix base directory while extracting insecure TAR files
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value:This PR fixes the extraction of insecure TAR files by changing the base path against which TAR members are compared: - from: "." - to: `output_path` This PR also adds tests for extracting insecure TAR files. Related to: - #5441 - #5452 @stas00 please note this PR addresses just one of the issues you ...
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value:Swap log messages for symbolic/hard links in tar extractor
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value:The log messages do not match their if-condition. This PR swaps them. Found while investigating: - #5441 CC: @lhoestq
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value:ImageFolder BadZipFile: Bad offset for central directory
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value:### Describe the bug I'm getting the following exception: ``` lib/python3.10/zipfile.py:1353 in _RealGetContents │ │ │ │ 1350 │ │ # self.start_dir: Position of start of central directory ...
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value:to_tf_dataset with a TF collator causes bizarrely persistent slowdown
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value:### Describe the bug This will make more sense if you take a look at [a Colab notebook that reproduces this issue.](https://colab.research.google.com/drive/1rxyeciQFWJTI0WrZ5aojp4Ls1ut18fNH?usp=sharing) Briefly, there are several datasets that, when you iterate over them with `to_tf_dataset` **and** a data...
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