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https://github.com/huggingface/datasets/pull/5466 | 5,466 | remove pathlib.Path with URIs | {
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"Thanks !\r\n`os.path.join` will use a backslash `\\` on windows which will also fail. You can use this instead in `load_from_disk`:\r\n```python\r\nfrom .filesystems import is_remote_filesystem\r\n\r\nis_local = not is_remote_filesystem(fs)\r\npath_join = os.path.join if is_local else posixpath.join\r\n```",
"Th... | 2023-01-26T03:25:45Z | 2023-01-26T17:08:57Z | 2023-01-26T16:59:11Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Pathlib will convert "//" to "/" which causes retry errors when downloading from cloud storage | {
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https://github.com/huggingface/datasets/issues/5465 | 5,465 | audiofolder creates empty dataset even though the dataset passed in follows the correct structure | {
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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 follo... | {
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https://github.com/huggingface/datasets/issues/5464 | 5,464 | NonMatchingChecksumError for hendrycks_test | {
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"Thanks for reporting, @sarahwie.\r\n\r\nPlease note this issue was already fixed in `datasets` 2.6.0 version:\r\n- #5040\r\n\r\nIf you update your `datasets` version, you will be able to load the dataset:\r\n```\r\npip install -U datasets\r\n```",
"Oops, missed that I needed to upgrade. Thanks!"
] | 2023-01-26T00:43:23Z | 2023-01-27T05:44:31Z | 2023-01-26T07:41:58Z | NONE | null | null | ### 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
- Pyt... | {
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https://github.com/huggingface/datasets/pull/5463 | 5,463 | Imagefolder docs: mention support of CSV and ZIP | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\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... | 2023-01-25T17:24:01Z | 2023-01-25T18:33:35Z | 2023-01-25T18:26:15Z | MEMBER | false | {
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https://github.com/huggingface/datasets/pull/5462 | 5,462 | Concatenate on axis=1 with misaligned blocks | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\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... | 2023-01-25T12:33:22Z | 2023-01-26T09:37:00Z | 2023-01-26T09:27:19Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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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https://github.com/huggingface/datasets/issues/5461 | 5,461 | Discrepancy in `nyu_depth_v2` dataset | {
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"Ccing @dwofk (the author of `fast-depth`). \r\n\r\nThanks, @awsaf49 for reporting this. I believe this is because the NYU Depth V2 shipped from `fast-depth` is already preprocessed. \r\n\r\nIf you think it might be better to have the NYU Depth V2 dataset from BTS [here](https://huggingface.co/datasets/sayakpaul/ny... | 2023-01-24T19:15:46Z | 2023-02-06T20:52:00Z | null | CONTRIBUTOR | null | null | ### 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-by-sid... | null | {
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https://github.com/huggingface/datasets/pull/5460 | 5,460 | Document that removing all the columns returns an empty document and the num_row is lost | {
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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==6.0.0\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... | 2023-01-24T17:33:38Z | 2023-01-25T16:11:10Z | 2023-01-25T16:04:03Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/5459 | 5,459 | Disable aiohttp requoting of redirection URL | {
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"Comment by @lhoestq:\r\n> Do you think we need this in `datasets` if it's fixed on the moon landing side ? In the aiohttp doc they consider those symbols as \"non-safe\" ",
"The lib `requests` does not perform that requote on redir... | 2023-01-24T17:18:59Z | 2024-09-01T18:08:31Z | 2023-01-31T08:37:54Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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 for `re... | {
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https://github.com/huggingface/datasets/issues/5458 | 5,458 | slice split while streaming | {
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"Hi! Yes, that's correct. When `streaming` is `True`, only split names can be specified as `split`, and for slicing, you have to use `.skip`/`.take` instead.\r\n\r\nE.g. \r\n`load_dataset(\"lhoestq/demo1\",revision=None, streaming=True, split=\"train[:3]\")`\r\n\r\nrewritten with `.skip`/`.take`:\r\n`load_dataset(\... | 2023-01-24T14:08:17Z | 2023-01-24T15:11:47Z | 2023-01-24T15:11:47Z | NONE | null | null | ### 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 split:... | {
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https://github.com/huggingface/datasets/issues/5457 | 5,457 | prebuilt dataset relies on `downloads/extracted` | {
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"Hi! \r\n\r\nThis issue is due to our audio/image datasets not being self-contained. This allows us to save disk space (files are written only once) but also leads to the issues like this one. We plan to make all our datasets self-contained in Datasets 3.0.\r\n\r\nIn the meantime, you can run the following map to e... | 2023-01-24T02:09:32Z | 2024-11-18T07:43:51Z | null | CONTRIBUTOR | null | null | ### 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/huggingface... | null | {
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https://github.com/huggingface/datasets/pull/5456 | 5,456 | feat: tqdm for `to_parquet` | {
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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/... | 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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https://github.com/huggingface/datasets/pull/5455 | 5,455 | Single TQDM bar in multi-proc map | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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/issue... | {
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https://github.com/huggingface/datasets/issues/5454 | 5,454 | Save and resume the state of a DataLoader | {
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"Something that'd be nice to have is \"manual update of state\". One of the learning from training LLMs is the ability to skip some batches whenever we notice huge spike might be handy.",
"Your outline spec is very sound and clear, @lhoestq - thank you!\r\n\r\n@thomasw21, indeed that would be a wonderful extra fe... | 2023-01-23T10:58:54Z | 2024-11-27T01:19:21Z | null | MEMBER | null | null | 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 be sav... | null | {
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https://github.com/huggingface/datasets/pull/5453 | 5,453 | Fix base directory while extracting insecure TAR files | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 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 pointe... | {
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https://github.com/huggingface/datasets/pull/5452 | 5,452 | Swap log messages for symbolic/hard links in tar extractor | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | The log messages do not match their if-condition. This PR swaps them.
Found while investigating:
- #5441
CC: @lhoestq | {
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https://github.com/huggingface/datasets/issues/5451 | 5,451 | ImageFolder BadZipFile: Bad offset for central directory | {
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"Hi ! Could you share the full stack trace ? Which dataset did you try to load ?\r\n\r\nit may be related to https://github.com/huggingface/datasets/pull/5640",
"The `BadZipFile` error means the ZIP file is corrupted, so I'm closing this issue as it's not directly related to `datasets`.",
"For others that find ... | 2023-01-22T23:50:12Z | 2023-05-23T10:35:48Z | 2023-02-10T16:31:36Z | NONE | null | null | ### 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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https://github.com/huggingface/datasets/issues/5450 | 5,450 | to_tf_dataset with a TF collator causes bizarrely persistent slowdown | {
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"wtf",
"Couldn't find what's causing this, this will need more investigation",
"A possible hint: The function it seems to be spending a lot of time in (when iterating over the original dataset) is `_get_mp` in the PIL JPEG decoder: \r\n
Briefly, there are several datasets that, when you iterate over them with `to_tf_dataset` **and** a data colla... | {
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https://github.com/huggingface/datasets/pull/5449 | 5,449 | Support fsspec 2023.1.0 in CI | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\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... | 2023-01-20T12:53:17Z | 2023-01-20T13:32:50Z | 2023-01-20T13:26:03Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Support fsspec 2023.1.0 in CI.
In the 2023.1.0 fsspec release, they replaced the type of `fsspec.registry`:
- from `ReadOnlyRegistry`, with an attribute called `target`
- to `MappingProxyType`, without that attribute
Consequently, we need to change our `mock_fsspec` fixtures, that were using the `target` attrib... | {
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https://github.com/huggingface/datasets/issues/5448 | 5,448 | Support fsspec 2023.1.0 in CI | {
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] | closed | false | [] | 2023-01-20T10:26:31Z | 2023-01-20T13:26:05Z | 2023-01-20T13:26:05Z | MEMBER | null | null | Once we find out the root cause of:
- #5445
we should revert the temporary pin on fsspec introduced by:
- #5447 | {
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https://github.com/huggingface/datasets/pull/5447 | 5,447 | Fix CI by temporarily pinning fsspec < 2023.1.0 | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Temporarily pin fsspec < 2023.1.0
Fix #5445. | {
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https://github.com/huggingface/datasets/pull/5446 | 5,446 | test v0.12.0.rc0 | {
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"@Wauplin I was testing it in a dedicated branch without opening a PR: https://github.com/huggingface/datasets/commits/test-hfh-0.12.0rc0",
"Oops, sorry @albertvillanova. I thought for next time I'll start the CIs before pinging eve... | 2023-01-20T10:05:19Z | 2023-01-20T10:43:22Z | 2023-01-20T10:13:48Z | CONTRIBUTOR | false | {
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} | DO NOT MERGE.
Only to test the CI.
cc @lhoestq @albertvillanova | {
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https://github.com/huggingface/datasets/issues/5445 | 5,445 | CI tests are broken: AttributeError: 'mappingproxy' object has no attribute 'target' | {
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```
...
ERROR tests/test_streaming_download_manager.py::TestxPath::test_xpath_rglob[mock://top_level-date=2019-10-0[1-4]/*-expected_path... | {
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https://github.com/huggingface/datasets/issues/5444 | 5,444 | info messages logged as warnings | {
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"Looks like a duplicate of https://github.com/huggingface/datasets/issues/1948. \r\n\r\nI also think these should be logged as INFO messages, but let's see what @lhoestq thinks.",
"It can be considered unexpected to see a `map` function return instantaneously. The warning is here to explain this case by mentionin... | 2023-01-20T01:19:18Z | 2023-07-12T17:19:31Z | 2023-07-12T17:19:31Z | NONE | null | null | ### Describe the bug
Code in `datasets` is using `logger.warning` when it should be using `logger.info`.
Some of these are probably a matter of opinion, but I think anything starting with `logger.warning(f"Loading chached` clearly falls into the info category.
Definitions from the Python docs for reference:
* I... | {
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https://github.com/huggingface/datasets/pull/5443 | 5,443 | Update share tutorial | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\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... | 2023-01-20T01:09:14Z | 2023-01-20T15:44:45Z | 2023-01-20T15:37:30Z | MEMBER | false | {
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I'll open a separate PR to update the *Create a Dataset card* with the new Hub metadata UI update 😄 | {
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https://github.com/huggingface/datasets/issues/5442 | 5,442 | OneDrive Integrations with HF Datasets | {
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"Hi! \r\n\r\nWe use [`fsspec`](https://github.com/fsspec/filesystem_spec) to integrate with storage providers. You can find more info (and the usage examples) in [our docs](https://huggingface.co/docs/datasets/v2.8.0/filesystems#download-and-prepare-a-dataset-into-a-cloud-storage).\r\n\r\n[`gdrivefs`](https://githu... | 2023-01-19T23:12:08Z | 2023-02-24T16:17:51Z | 2023-02-24T16:17:51Z | NONE | null | null | ### Feature request
First of all , I would like to thank all community who are developed DataSet storage and make it free available
How to integrate our Onedrive account or any other possible storage clouds (like google drive,...) with the **HF** datasets section.
For example, if I have **50GB** on my **Onedrive*... | {
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https://github.com/huggingface/datasets/pull/5441 | 5,441 | resolving a weird tar extract issue | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\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... | 2023-01-19T02:17:21Z | 2023-01-20T16:49:22Z | null | CONTRIBUTOR | false | {
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} | ok, every so often, I have been getting a strange failure on dataset install:
```
$ python -c 'import sys; from datasets import load_dataset; ds=load_dataset(sys.argv[1])' HuggingFaceM4/general-pmd-synthetic-testing
No config specified, defaulting to: general-pmd-synthetic-testing/100.unique
Downloading and prep... | null | {
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https://github.com/huggingface/datasets/pull/5440 | 5,440 | Fix documentation about batch samplers | {
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https://github.com/huggingface/datasets/issues/5439 | 5,439 | [dataset request] Add Common Voice 12.0 | {
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"@polinaeterna any tentative date on when the Common Voice 12.0 dataset will be added ?",
"This dataset is now hosted on the Hub here: https://huggingface.co/datasets/mozilla-foundation/common_voice_12_0"
] | 2023-01-18T13:07:05Z | 2023-07-21T14:26:10Z | 2023-07-21T14:26:09Z | NONE | null | null | ### Feature request
Please add the common voice 12_0 datasets. Apart from English, a significant amount of audio-data has been added to the other minor-language datasets.
### Motivation
The dataset link:
https://commonvoice.mozilla.org/en/datasets
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https://github.com/huggingface/datasets/pull/5438 | 5,438 | Update actions/checkout in CD Conda release | {
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https://github.com/huggingface/datasets/issues/5437 | 5,437 | Can't load png dataset with 4 channel (RGBA) | {
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"Hi! Can you please share the directory structure of your image folder and the `load_dataset` call? We decode images with Pillow, and Pillow supports RGBA PNGs, so this shouldn't be a problem.\r\n\r\n",
"> Hi! Can you please share the directory structure of your image folder and the `load_dataset` call? We decode... | 2023-01-17T18:22:27Z | 2023-01-18T20:20:15Z | 2023-01-18T20:20:15Z | NONE | null | null | I try to create dataset which contains about 9000 png images 64x64 in size, and they are all 4-channel (RGBA). When trying to use load_dataset() then a dataset is created from only 2 images. What exactly interferes I can not understand.![Screenshot_20230117_212213.jpg](https://user-images.githubusercontent.com/41611046... | {
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https://github.com/huggingface/datasets/pull/5436 | 5,436 | Revert container image pin in CI benchmarks | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Closes #5433, reverts #5432, and also:
* Uses [ghcr.io container images](https://cml.dev/doc/self-hosted-runners/#docker-images) for extra speed
* Updates `actions/checkout` to `v3` (note that `v2` is [deprecated](https://github.blog/changelog/2022-09-22-github-actions-all-actions-will-begin-running-on-node16-instead... | {
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https://github.com/huggingface/datasets/issues/5435 | 5,435 | Wrong statement in "Load a Dataset in Streaming mode" leads to data leakage | {
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"Just for your information, Tensorflow confirmed this issue [here.](https://github.com/tensorflow/tensorflow/issues/59279)",
"Thanks for reporting, @HaoyuYang59.\r\n\r\nPlease note that these are different \"dataset\" objects: our docs refer to Hugging Face `datasets.Dataset` and not to TensorFlow `tf.data.Datase... | 2023-01-17T10:04:16Z | 2023-01-19T09:56:03Z | 2023-01-19T09:56:03Z | NONE | null | null | ### Describe the bug
In the [Split your dataset with take and skip](https://huggingface.co/docs/datasets/v1.10.2/dataset_streaming.html#split-your-dataset-with-take-and-skip), it states:
> Using take (or skip) prevents future calls to shuffle from shuffling the dataset shards order, otherwise the taken examples cou... | {
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https://github.com/huggingface/datasets/issues/5434 | 5,434 | sample_dataset module not found | {
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"Hi! Can you describe what the actual error is?",
"working on the setfit example script\r\n\r\n from setfit import SetFitModel, SetFitTrainer, sample_dataset\r\n\r\nImportError: cannot import name 'sample_dataset' from 'setfit' (C:\\Python\\Python38\\lib\\site-packages\\setfit\\__init__.py)\r\n\r\n apart from t... | 2023-01-17T09:57:54Z | 2023-01-19T13:52:12Z | 2023-01-19T07:55:11Z | NONE | null | null | null | {
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https://github.com/huggingface/datasets/issues/5433 | 5,433 | Support latest Docker image in CI benchmarks | {
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"Sorry, it was us:[^1] https://github.com/iterative/cml/pull/1317 & https://github.com/iterative/cml/issues/1319#issuecomment-1385599559; should be fixed with [v0.18.17](https://github.com/iterative/cml/releases/tag/v0.18.17).\r\n\r\n[^1]: More or less, see https://github.com/yargs/yargs/issues/873.",
"Opened htt... | 2023-01-17T09:06:08Z | 2023-01-18T06:29:08Z | 2023-01-18T06:29:08Z | MEMBER | null | null | Once we find out the root cause of:
- #5431
we should revert the temporary pin on the Docker image version introduced by:
- #5432 | {
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https://github.com/huggingface/datasets/pull/5432 | 5,432 | Fix CI benchmarks by temporarily pinning Docker image version | {
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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==6.0.0\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... | 2023-01-17T07:15:31Z | 2023-01-17T08:58:22Z | 2023-01-17T08:51:17Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR fixes CI benchmarks, by temporarily pinning Docker image version, instead of "latest" tag.
It also updates deprecated `cml-send-comment` command and using `cml comment create` instead.
Fix #5431. | {
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https://github.com/huggingface/datasets/issues/5431 | 5,431 | CI benchmarks are broken: Unknown arguments: runnerPath, path | {
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```
Unknown arguments: runnerPath, path
```
Stack trace:
```
100%|██████████| 500/500 [00:01<00:00, 338.98ba/s]
Updating lock file 'dvc.lock'
To track the changes ... | {
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https://github.com/huggingface/datasets/issues/5430 | 5,430 | Support Apache Beam >= 2.44.0 | {
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"Some of the shard files now have 0 number of rows.\r\n\r\nWe have opened an issue in the Apache Beam repo:\r\n- https://github.com/apache/beam/issues/25041"
] | 2023-01-17T06:42:12Z | 2024-02-06T19:24:21Z | 2024-02-06T19:24:21Z | MEMBER | null | null | Once we find out the root cause of:
- #5426
we should revert the temporary pin on apache-beam introduced by:
- #5429 | {
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https://github.com/huggingface/datasets/pull/5429 | 5,429 | Fix CI by temporarily pinning apache-beam < 2.44.0 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 2023-01-16T16:20:09Z | 2023-01-16T16:51:42Z | 2023-01-16T16:49:03Z | MEMBER | false | {
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Fix #5426. | {
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https://github.com/huggingface/datasets/issues/5428 | 5,428 | Load/Save FAISS index using fsspec | {
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"Hi! Sure, feel free to submit a PR. Maybe if we want to be consistent with the existing API, it would be cleaner to directly add support for `fsspec` paths in `Dataset.load_faiss_index`/`Dataset.save_faiss_index` in the same manner as it was done in `Dataset.load_from_disk`/`Dataset.save_to_disk`.",
"That's a gr... | 2023-01-16T16:08:12Z | 2023-03-27T15:18:22Z | 2023-03-27T15:18:22Z | CONTRIBUTOR | null | null | ### Feature request
From what I understand `faiss` already support this [link](https://github.com/facebookresearch/faiss/wiki/Index-IO,-cloning-and-hyper-parameter-tuning#generic-io-support)
I would like to use a stream as input to `Dataset.load_faiss_index` and `Dataset.save_faiss_index`.
### Motivation
In... | {
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https://github.com/huggingface/datasets/issues/5427 | 5,427 | Unable to download dataset id_clickbait | {
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"Thanks for reporting, @ilos-vigil.\r\n\r\nWe have transferred this issue to the corresponding dataset on the Hugging Face Hub: https://huggingface.co/datasets/id_clickbait/discussions/1 "
] | 2023-01-16T16:05:36Z | 2023-01-18T09:51:28Z | 2023-01-18T09:25:19Z | NONE | null | null | ### Describe the bug
I tried to download dataset `id_clickbait`, but receive this error message.
```
FileNotFoundError: Couldn't find file at https://md-datasets-cache-zipfiles-prod.s3.eu-west-1.amazonaws.com/k42j7x2kpn-1.zip
```
When i open the link using browser, i got this XML data.
```xml
<?xml versi... | {
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https://github.com/huggingface/datasets/issues/5426 | 5,426 | CI tests are broken: SchemaInferenceError | {
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] | closed | false | [] | 2023-01-16T16:02:07Z | 2023-06-02T06:40:32Z | 2023-01-16T16:49:04Z | MEMBER | null | null | CI test (unit, ubuntu-latest, deps-minimum) is broken, raising a `SchemaInferenceError`: see https://github.com/huggingface/datasets/actions/runs/3930901593/jobs/6721492004
```
FAILED tests/test_beam.py::BeamBuilderTest::test_download_and_prepare_sharded - datasets.arrow_writer.SchemaInferenceError: Please pass `feat... | {
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https://github.com/huggingface/datasets/issues/5425 | 5,425 | Sort on multiple keys with datasets.Dataset.sort() | {
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"Hi! \r\n\r\n`Dataset.sort` calls `df.sort_values` internally, and `df.sort_values` brings all the \"sort\" columns in memory, so sorting on multiple keys could be very expensive. This makes me think that maybe we can replace `df.sort_values` with `pyarrow.compute.sort_indices` - the latter can also sort on multipl... | 2023-01-16T09:22:26Z | 2023-02-24T16:15:11Z | 2023-02-24T16:15:11Z | NONE | null | null | ### Feature request
From discussion on forum: https://discuss.huggingface.co/t/datasets-dataset-sort-does-not-preserve-ordering/29065/1
`sort()` does not preserve ordering, and it does not support sorting on multiple columns, nor a key function.
The suggested solution:
> ... having something similar to panda... | {
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https://github.com/huggingface/datasets/issues/5424 | 5,424 | When applying `ReadInstruction` to custom load it's not DatasetDict but list of Dataset? | {
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"Hi! You can get a `DatasetDict` if you pass a dictionary with read instructions as follows:\r\n```python\r\ninstructions = [\r\n ReadInstruction(split_name=\"train\", from_=0, to=10, unit='%', rounding='closest'),\r\n ReadInstruction(split_name=\"dev\", from_=0, to=10, unit='%', rounding='closest'),\r\n R... | 2023-01-16T06:54:28Z | 2023-02-24T16:19:00Z | 2023-02-24T16:19:00Z | NONE | null | null | ### Describe the bug
I am loading datasets from custom `tsv` files stored locally and applying split instructions for each split. Although the ReadInstruction is being applied correctly and I was expecting it to be `DatasetDict` but instead it is a list of `Dataset`.
### Steps to reproduce the bug
Steps to reproduc... | {
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https://github.com/huggingface/datasets/issues/5422 | 5,422 | Datasets load error for saved github issues | {
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"I can confirm that the error exists!\r\nI'm trying to read 3 parquet files locally:\r\n```python\r\nfrom datasets import load_dataset, Features, Value, ClassLabel\r\n\r\nreview_dataset = load_dataset(\r\n \"parquet\",\r\n data_files={\r\n \"train\": os.path.join(sentiment_analysis_data_path, \"train.p... | 2023-01-14T17:29:38Z | 2023-09-14T11:39:57Z | null | NONE | null | null | ### Describe the bug
Loading a previously downloaded & saved dataset as described in the HuggingFace course:
issues_dataset = load_dataset("json", data_files="issues/datasets-issues.jsonl", split="train")
Gives this error:
datasets.builder.DatasetGenerationError: An error occurred while generating the dataset... | null | {
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https://github.com/huggingface/datasets/issues/5421 | 5,421 | Support case-insensitive Hub dataset name in load_dataset | {
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"Closing as case-insensitivity should be only for URL redirection on the Hub. In the APIs, we will only support the canonical name (https://github.com/huggingface/moon-landing/pull/2399#issuecomment-1382085611)"
] | 2023-01-13T13:07:07Z | 2023-01-13T20:12:32Z | 2023-01-13T20:12:32Z | COLLABORATOR | null | null | ### Feature request
The dataset name on the Hub is case-insensitive (see https://github.com/huggingface/moon-landing/pull/2399, internal issue), i.e., https://huggingface.co/datasets/GLUE redirects to https://huggingface.co/datasets/glue.
Ideally, we could load the glue dataset using the following:
```
from d... | {
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https://github.com/huggingface/datasets/pull/5420 | 5,420 | ci: 🎡 remove two obsolete issue templates | {
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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==6.0.0\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... | 2023-01-13T12:58:43Z | 2023-01-13T13:36:00Z | 2023-01-13T13:29:01Z | COLLABORATOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | add-dataset is not needed anymore since the "canonical" datasets are on the Hub. And dataset-viewer is managed within the datasets-server project.
See https://github.com/huggingface/datasets/issues/new/choose
<img width="1245" alt="Capture d’écran 2023-01-13 à 13 59 58" src="https://user-images.githubuserconten... | {
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https://github.com/huggingface/datasets/issues/5419 | 5,419 | label_column='labels' in datasets.TextClassification and 'label' or 'label_ids' in transformers.DataColator | {
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"Hi! Thanks for pointing out this inconsistency. Changing the default value at this point is probably not worth it, considering we've started discussing the state of the task API internally - we will most likely deprecate the current one and replace it with a more robust solution that relies on the `train_eval_inde... | 2023-01-13T09:40:07Z | 2023-07-21T14:27:08Z | 2023-07-21T14:27:08Z | NONE | null | null | ### Describe the bug
When preparing a dataset for a task using `datasets.TextClassification`, the output feature is named `labels`. When preparing the trainer using the `transformers.DataCollator` the default column name is `label` if binary or `label_ids` if multi-class problem.
It is required to rename the column... | {
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https://github.com/huggingface/datasets/issues/5418 | 5,418 | Add ProgressBar for `to_parquet` | {
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"Thanks for your proposal, @zanussbaum. Yes, I agree that would definitely be a nice feature to have!",
"@albertvillanova I’m happy to make a quick PR for the feature! let me know ",
"That would be awesome ! You can comment `#self-assign` to assign you to this issue and open a PR :) Will be happy to review",
... | 2023-01-12T05:06:20Z | 2023-01-24T18:18:24Z | 2023-01-24T18:18:24Z | CONTRIBUTOR | null | null | ### Feature request
Add a progress bar for `Dataset.to_parquet`, similar to how `to_json` works.
### Motivation
It's a bit frustrating to not know how long a dataset will take to write to file and if it's stuck or not without a progress bar
### Your contribution
Sure I can help if needed | {
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https://github.com/huggingface/datasets/pull/5416 | 5,416 | Fix RuntimeError: Sharding is ambiguous for this dataset | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"By the way, do we know how many datasets are impacted by this issue?\r\n\r\nMaybe we should do a patch release with this fix.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\n\n<details>\n<summary>Show updated be... | 2023-01-10T08:43:19Z | 2023-01-18T17:12:17Z | 2023-01-18T14:09:02Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR fixes the RuntimeError: Sharding is ambiguous for this dataset.
The error for ambiguous sharding will be raised only if num_proc > 1.
Fix #5415, fix #5414.
Fix https://huggingface.co/datasets/ami/discussions/3. | {
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https://github.com/huggingface/datasets/issues/5415 | 5,415 | RuntimeError: Sharding is ambiguous for this dataset | {
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When loading some datasets, a RuntimeError is raised.
For example, for "ami" dataset: https://huggingface.co/datasets/ami/discussions/3
```
.../huggingface/datasets/src/datasets/builder.py in _prepare_split(self, split_generator, check_duplicate_keys, file_format, num_proc, max_shard_size)
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https://github.com/huggingface/datasets/issues/5414 | 5,414 | Sharding error with Multilingual LibriSpeech | {
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"Thanks for reporting, @Nithin-Holla.\r\n\r\nThis is a known issue for multiple datasets and we are investigating it:\r\n- See e.g.: https://huggingface.co/datasets/ami/discussions/3",
"Main issue:\r\n- #5415",
"@albertvillanova Thanks! As a workaround for now, can I use the dataset in streaming mode?",
"Yes,... | 2023-01-09T14:45:31Z | 2023-01-18T14:09:04Z | 2023-01-18T14:09:04Z | NONE | null | null | ### Describe the bug
Loading the German Multilingual LibriSpeech dataset results in a RuntimeError regarding sharding with the following stacktrace:
```
Downloading and preparing dataset multilingual_librispeech/german to /home/nithin/datadrive/cache/huggingface/datasets/facebook___multilingual_librispeech/german/... | {
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https://github.com/huggingface/datasets/issues/5413 | 5,413 | concatenate_datasets fails when two dataset with shards > 1 and unequal shard numbers | {
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"Hi ! Thanks for reporting :)\r\n\r\nI managed to reproduce the hub using\r\n```python\r\n\r\nfrom datasets import concatenate_datasets, Dataset, load_from_disk\r\n\r\nDataset.from_dict({\"a\": range(9)}).save_to_disk(\"tmp/ds1\")\r\nds1 = load_from_disk(\"tmp/ds1\")\r\nds1 = concatenate_datasets([ds1, ds1])\r\n\r\... | 2023-01-08T17:01:52Z | 2023-01-26T09:27:21Z | 2023-01-26T09:27:21Z | NONE | null | null | ### Describe the bug
When using `concatenate_datasets([dataset1, dataset2], axis = 1)` to concatenate two datasets with shards > 1, it fails:
```
File "/home/xzg/anaconda3/envs/tri-transfer/lib/python3.9/site-packages/datasets/combine.py", line 182, in concatenate_datasets
return _concatenate_map_style_data... | {
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https://github.com/huggingface/datasets/issues/5412 | 5,412 | load_dataset() cannot find dataset_info.json with multiple training runs in parallel | {
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"Hi ! It fails because the dataset is already being prepared by your first run. I'd encourage you to prepare your dataset before using it for multiple trainings.\r\n\r\nYou can also specify another cache directory by passing `cache_dir=` to `load_dataset()`.",
"Thank you! What do you mean by prepare it beforehand... | 2023-01-08T00:44:32Z | 2023-01-19T20:28:43Z | 2023-01-19T20:28:43Z | NONE | null | null | ### Describe the bug
I have a custom local dataset in JSON form. I am trying to do multiple training runs in parallel. The first training run runs with no issue. However, when I start another run on another GPU, the following code throws this error.
If there is a workaround to ignore the cache I think that would ... | {
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https://github.com/huggingface/datasets/pull/5411 | 5,411 | Update docs of S3 filesystem with async aiobotocore | {
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Updating documentation to use `AioSession` while using s3fs for download manager as well as working with datasets | {
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https://github.com/huggingface/datasets/pull/5410 | 5,410 | Map-style Dataset to IterableDataset | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\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... | 2023-01-05T18:12:17Z | 2023-02-01T18:11:45Z | 2023-02-01T16:36:01Z | MEMBER | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Added `ds.to_iterable()` to get an iterable dataset from a map-style arrow dataset.
It also has a `num_shards` argument to split the dataset before converting to an iterable dataset. Sharding is important to enable efficient shuffling and parallel loading of iterable datasets.
TODO:
- [x] tests
- [x] docs
Fi... | {
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https://github.com/huggingface/datasets/pull/5409 | 5,409 | Fix deprecation warning when use_auth_token passed to download_and_prepare | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | The `DatasetBuilder.download_and_prepare` argument `use_auth_token` was deprecated in:
- #5302
However, `use_auth_token` is still passed to `download_and_prepare` in our built-in `io` readers (csv, json, parquet,...).
This PR fixes it, so that no deprecation warning is raised.
Fix #5407. | {
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https://github.com/huggingface/datasets/issues/5408 | 5,408 | dataset map function could not be hash properly | {
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"Hi ! On macos I tried with\r\n- py 3.9.11\r\n- datasets 2.8.0\r\n- transformers 4.25.1\r\n- dill 0.3.4\r\n\r\nand I was able to hash `prepare_dataset` correctly:\r\n```python\r\nfrom datasets.fingerprint import Hasher\r\nHasher.hash(prepare_dataset)\r\n```\r\n\r\nWhat version of transformers do you have ? Can you ... | 2023-01-05T01:59:59Z | 2023-01-06T13:22:19Z | 2023-01-06T13:22:18Z | NONE | null | null | ### Describe the bug
I follow the [blog post](https://huggingface.co/blog/fine-tune-whisper#building-a-demo) to finetune a Cantonese transcribe model.
When using map function to prepare dataset, following warning pop out:
`common_voice = common_voice.map(prepare_dataset,
remove_... | {
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https://github.com/huggingface/datasets/issues/5407 | 5,407 | Datasets.from_sql() generates deprecation warning | {
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"Thanks for reporting @msummerfield. We are fixing it."
] | 2023-01-05T00:43:17Z | 2023-01-06T10:59:14Z | 2023-01-06T10:59:14Z | NONE | null | null | ### Describe the bug
Calling `Datasets.from_sql()` generates a warning:
`.../site-packages/datasets/builder.py:712: FutureWarning: 'use_auth_token' was deprecated in version 2.7.1 and will be removed in 3.0.0. Pass 'use_auth_token' to the initializer/'load_dataset_builder' instead.`
### Steps to reproduce the ... | {
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https://github.com/huggingface/datasets/issues/5406 | 5,406 | [2.6.1][2.7.0] Upgrade `datasets` to fix `TypeError: can only concatenate str (not "int") to str` | {
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"I still get this error on 2.9.0\r\n<img width=\"1925\" alt=\"image\" src=\"https://user-images.githubusercontent.com/7208470/215597359-2f253c76-c472-4612-8099-d3a74d16eb29.png\">\r\n",
"Hi ! I just tested locally and or colab and it works fine for 2.9 on `sst2`.\r\n\r\nAlso the code that is shown in your stack t... | 2023-01-04T15:10:04Z | 2023-06-21T18:45:38Z | null | MEMBER | null | null | `datasets` 2.6.1 and 2.7.0 started to stop supporting datasets like IMDB, ConLL or MNIST datasets.
When loading a dataset using 2.6.1 or 2.7.0, you may this error when loading certain datasets:
```python
TypeError: can only concatenate str (not "int") to str
```
This is because we started to update the metadat... | null | {
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https://github.com/huggingface/datasets/issues/5405 | 5,405 | size_in_bytes the same for all splits | {
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"Hi @Breakend,\r\n\r\nIndeed, the attribute `size_in_bytes` refers to the size of the entire dataset configuration, for all splits (size of downloaded files + Arrow files), not the specific split.\r\nThis is also the case for `download_size` (downloaded files) and `dataset_size` (Arrow files).\r\n\r\nThe size of th... | 2023-01-03T20:25:48Z | 2023-01-04T09:22:59Z | null | NONE | null | null | ### Describe the bug
Hi, it looks like whenever you pull a dataset and get size_in_bytes, it returns the same size for all splits (and that size is the combined size of all splits). It seems like this shouldn't be the intended behavior since it is misleading. Here's an example:
```
>>> from datasets import load_da... | null | {
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https://github.com/huggingface/datasets/issues/5404 | 5,404 | Better integration of BIG-bench | {
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"Hi, I made my version : https://huggingface.co/datasets/tasksource/bigbench"
] | 2023-01-03T15:37:57Z | 2023-02-09T20:30:26Z | null | MEMBER | null | null | ### Feature request
Ideally, it would be nice to have a maintained PyPI package for `bigbench`.
### Motivation
We'd like to allow anyone to access, explore and use any task.
### Your contribution
@lhoestq has opened an issue in their repo:
- https://github.com/google/BIG-bench/issues/906 | null | {
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https://github.com/huggingface/datasets/pull/5403 | 5,403 | Replace one letter import in docs | {
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"> Thanks for the docs fix for consistency.\r\n> \r\n> Again for consistency, it would be nice to make the same fix across all the docs, e.g.\r\n> \r\n> https://github.com/huggingface/datasets/blob/310cdddd1c43f9658de172b85b6509d07d5e... | 2023-01-03T14:26:32Z | 2023-01-03T15:06:18Z | 2023-01-03T14:59:01Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR updates a code example for consistency across the docs based on [feedback from this comment](https://github.com/huggingface/transformers/pull/20925/files/9fda31634d203a47d3212e4e8d43d3267faf9808#r1058769500):
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https://github.com/huggingface/datasets/issues/5402 | 5,402 | Missing state.json when creating a cloud dataset using a dataset_builder | {
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"`load_from_disk` must be used on datasets saved using `save_to_disk`: they correspond to fully serialized datasets including their state.\r\n\r\nOn the other hand, `download_and_prepare` just downloads the raw data and convert them to arrow (or parquet if you want). We are working on allowing you to reload a datas... | 2023-01-03T13:39:59Z | 2023-01-04T17:23:57Z | null | NONE | null | null | ### Describe the bug
Using `load_dataset_builder` to create a builder, run `download_and_prepare` do upload it to S3. However when trying to load it, there are missing `state.json` files. Complete example:
```python
from aiobotocore.session import AioSession as Session
from datasets import load_from_disk, load_da... | null | {
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https://github.com/huggingface/datasets/pull/5401 | 5,401 | Support Dataset conversion from/to Spark | {
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"Cool thanks !\r\n\r\nSpark DataFrame are usually quite big, and I believe here `from_spark` would load everything in the driver node's RAM, which i... | 2023-01-03T09:57:40Z | 2023-01-05T14:21:33Z | null | MEMBER | false | {
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https://github.com/huggingface/datasets/pull/5400 | 5,400 | Support streaming datasets with os.path.exists and Path.exists | {
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https://github.com/huggingface/datasets/issues/5399 | 5,399 | Got disconnected from remote data host. Retrying in 5sec [2/20] | {
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While trying to upload my image dataset of a CSV file type to huggingface by running the below code. The dataset consists of a little over 100k of image-caption pairs
### Steps to reproduce the bug
```
df = pd.read_csv('x.csv', encoding='utf-8-sig')
features = Features({
'link': Ima... | {
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https://github.com/huggingface/datasets/issues/5398 | 5,398 | Unpin pydantic | {
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See issue:
- #5394
See temporary fix:
- #5395 | {
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https://github.com/huggingface/datasets/pull/5397 | 5,397 | Unpin pydantic test dependency | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Once pydantic-1.10.3 has been yanked, we can unpin it: https://pypi.org/project/pydantic/1.10.3/
See reply by pydantic team https://github.com/pydantic/pydantic/issues/4885#issuecomment-1367819807
```
v1.10.3 has been yanked.
```
in response to spacy request: https://github.com/pydantic/pydantic/issues/4885#issu... | {
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https://github.com/huggingface/datasets/pull/5396 | 5,396 | Fix checksum verification | {
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"Hi ! If I'm not mistaken both `expected_checksums[url]` and `recorded_checksums[url]` are dictionaries with keys \"checksum\" and \"num_bytes\". So we need to check whether `expected_checksums[url] != recorded_checksums[url]` (or simply `expected_checksums[url][\"checksum\"] != recorded_checksums[url][\"checksum\"... | 2022-12-29T19:45:17Z | 2023-02-13T11:11:22Z | 2023-02-13T11:11:22Z | CONTRIBUTOR | false | {
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https://github.com/huggingface/datasets/pull/5395 | 5,395 | Temporarily pin pydantic test dependency | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\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... | 2022-12-29T19:34:19Z | 2022-12-30T06:36:57Z | 2022-12-29T21:00:26Z | MEMBER | false | {
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Fix #5394. | {
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https://github.com/huggingface/datasets/issues/5394 | 5,394 | CI error: TypeError: dataclass_transform() got an unexpected keyword argument 'field_specifiers' | {
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"I still getting the same error :\r\n\r\n`python -m spacy download fr_core_news_lg\r\n`.\r\n`import spacy`",
"@MFatnassi, this issue and the corresponding fix only affect our Continuous Integration testing environment.\r\n\r\nNote that `datasets` does not depend on `spacy`."
] | 2022-12-29T18:58:44Z | 2022-12-30T10:40:51Z | 2022-12-29T21:00:27Z | MEMBER | null | null | ### Describe the bug
While installing the dependencies, the CI raises a TypeError:
```
Traceback (most recent call last):
File "/opt/hostedtoolcache/Python/3.7.15/x64/lib/python3.7/runpy.py", line 183, in _run_module_as_main
mod_name, mod_spec, code = _get_module_details(mod_name, _Error)
File "/opt/hoste... | {
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https://github.com/huggingface/datasets/pull/5393 | 5,393 | Finish deprecating the fs argument | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"> Thanks for the deprecation. Some minor suggested fixes below...\r\n> \r\n> Also note that the corresponding tests should be updated as well.\r\n\r\nThanks for the suggestions/typo fixes. I updated the failing test - passing locall... | 2022-12-28T15:33:17Z | 2023-01-18T12:42:33Z | 2023-01-18T12:35:32Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | See #5385 for some discussion on this
The `fs=` arg was depcrecated from `Dataset.save_to_disk` and `Dataset.load_from_disk` in `2.8.0` (to be removed in `3.0.0`). There are a few other places where the `fs=` arg was still used (functions/methods in `datasets.info` and `datasets.load`). This PR adds a similar beha... | {
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https://github.com/huggingface/datasets/pull/5392 | 5,392 | Fix Colab notebook link | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\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... | 2022-12-28T11:44:53Z | 2023-01-03T15:36:14Z | 2023-01-03T15:27:31Z | MEMBER | false | {
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https://github.com/huggingface/datasets/issues/5391 | 5,391 | Whisper Event - RuntimeError: The size of tensor a (504) must match the size of tensor b (448) at non-singleton dimension 1 100% 1000/1000 [2:52:21<00:00, 10.34s/it] | {
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"Hey @catswithbats! Super sorry for the late reply! This is happening because there is data with label length (504) that exceeds the model's max length (448). \r\n\r\nThere are two options here:\r\n1. Increase the model's `max_length` parameter: \r\n```python\r\nmodel.config.max_length = 512\r\n```\r\n2. Filter dat... | 2022-12-25T15:17:14Z | 2023-07-21T14:29:47Z | 2023-07-21T14:29:47Z | NONE | null | null | Done in a VM with a GPU (Ubuntu) following the [Whisper Event - PYTHON](https://github.com/huggingface/community-events/tree/main/whisper-fine-tuning-event#python-script) instructions.
Attempted using [RuntimeError: he size of tensor a (504) must match the size of tensor b (448) at non-singleton dimension 1 100% 1... | {
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https://github.com/huggingface/datasets/issues/5390 | 5,390 | Error when pushing to the CI hub | {
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"Hmmm, git bisect tells me that the behavior is the same since https://github.com/huggingface/datasets/commit/67e65c90e9490810b89ee140da11fdd13c356c9c (3 Oct), i.e. https://github.com/huggingface/datasets/pull/4926",
"Maybe related to the discussions in https://github.com/huggingface/datasets/pull/5196",
"Maybe... | 2022-12-23T13:36:37Z | 2022-12-23T20:29:02Z | 2022-12-23T20:29:02Z | COLLABORATOR | null | null | ### Describe the bug
Note that it's a special case where the Hub URL is "https://hub-ci.huggingface.co", which does not appear if we do the same on the Hub (https://huggingface.co).
The call to `dataset.push_to_hub(` fails:
```
Pushing dataset shards to the dataset hub: 100%|██████████████████████████████████... | {
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https://github.com/huggingface/datasets/pull/5389 | 5,389 | Fix link in `load_dataset` docstring | {
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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==6.0.0\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... | 2022-12-23T13:26:31Z | 2023-01-25T19:00:43Z | 2023-01-24T16:33:38Z | COLLABORATOR | false | {
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https://github.com/huggingface/datasets/issues/5388 | 5,388 | Getting Value Error while loading a dataset.. | {
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"Hi! I can't reproduce this error locally (Mac) or in Colab. What version of `datasets` are you using?",
"Hi [mariosasko](https://github.com/mariosasko), the datasets version is '2.8.0'.",
"@valmetisrinivas you get that error because you imported `datasets` (and thus `fsspec`) before installing `zstandard`.\r\n... | 2022-12-23T08:16:43Z | 2022-12-29T08:36:33Z | 2022-12-27T17:59:09Z | NONE | null | null | ### Describe the bug
I am trying to load a dataset using Hugging Face Datasets load_dataset method. I am getting the value error as show below. Can someone help with this? I am using Windows laptop and Google Colab notebook.
```
WARNING:datasets.builder:Using custom data configuration default-a1d9e8eaedd958cd
---... | {
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https://github.com/huggingface/datasets/issues/5387 | 5,387 | Missing documentation page : improve-performance | {
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"Hi! Our documentation builder does not support links to sections, hence the bug. This is the link it should point to https://huggingface.co/docs/datasets/v2.8.0/en/cache#improve-performance."
] | 2022-12-23T01:12:57Z | 2023-01-24T16:33:40Z | 2023-01-24T16:33:40Z | NONE | null | null | ### Describe the bug
Trying to access https://huggingface.co/docs/datasets/v2.8.0/en/package_reference/cache#improve-performance, the page is missing.
The link is in here : https://huggingface.co/docs/datasets/v2.8.0/en/package_reference/loading_methods#datasets.load_dataset.keep_in_memory
### Steps to reproduce t... | {
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https://github.com/huggingface/datasets/issues/5386 | 5,386 | `max_shard_size` in `datasets.push_to_hub()` breaks with large files | {
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"Hi! \r\n\r\nThis behavior stems from the fact that we don't always embed image bytes in the underlying arrow table, which can lead to bad size estimation (we use the first 1000 table rows to [estimate](https://github.com/huggingface/datasets/blob/9a7272cd4222383a5b932b0083a4cc173fda44e8/src/datasets/arrow_dataset.... | 2022-12-22T21:50:58Z | 2022-12-26T23:45:51Z | 2022-12-26T23:45:51Z | NONE | null | null | ### Describe the bug
`max_shard_size` parameter for `datasets.push_to_hub()` works unreliably with large files, generating shard files that are way past the specified limit.
In my private dataset, which contains unprocessed images of all sizes (up to `~100MB` per file), I've encountered cases where `max_shard_siz... | {
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https://github.com/huggingface/datasets/issues/5385 | 5,385 | Is `fs=` deprecated in `load_from_disk()` as well? | {
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"Hi! Yes, we should deprecate the `fs` param here. Would you be interested in submitting a PR? ",
"> Hi! Yes, we should deprecate the `fs` param here. Would you be interested in submitting a PR?\r\n\r\nYeah I can do that sometime next week. Should the storage_options be a new arg here? I’ll look around for anywh... | 2022-12-22T21:00:45Z | 2023-01-23T10:50:05Z | 2023-01-23T10:50:04Z | CONTRIBUTOR | null | null | ### Describe the bug
The `fs=` argument was deprecated from `Dataset.save_to_disk` and `Dataset.load_from_disk` in favor of automagically figuring it out via fsspec:
https://github.com/huggingface/datasets/blob/9a7272cd4222383a5b932b0083a4cc173fda44e8/src/datasets/arrow_dataset.py#L1339-L1340
Is there a reason the... | {
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https://github.com/huggingface/datasets/pull/5384 | 5,384 | Handle 0-dim tensors in `cast_to_python_objects` | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\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... | 2022-12-22T16:15:30Z | 2023-01-13T16:10:15Z | 2023-01-13T16:00:52Z | COLLABORATOR | false | {
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https://github.com/huggingface/datasets/issues/5383 | 5,383 | IterableDataset missing column_names, differs from Dataset interface | {
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"Another example is that `IterableDataset.map` does not have `fn_kwargs`, among other arguments. It makes it harder to convert code from Dataset to IterableDataset.",
"Hi! `fn_kwargs` was added to `IterableDataset.map` in `datasets 2.5.0`, so please update your installation (`pip install -U datasets`) to use it.\... | 2022-12-22T05:27:02Z | 2023-03-13T19:03:33Z | 2023-03-13T19:03:33Z | NONE | null | null | ### Describe the bug
The documentation on [Stream](https://huggingface.co/docs/datasets/v1.18.2/stream.html) seems to imply that IterableDataset behaves just like a Dataset. However, examples like
```
dataset.map(augment_data, batched=True, remove_columns=dataset.column_names, ...)
```
will not work because `.colu... | {
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https://github.com/huggingface/datasets/pull/5382 | 5,382 | Raise from disconnect error in xopen | {
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"Could you review this small PR @albertvillanova ? :)",
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | this way we can know the cause of the disconnect
related to https://github.com/huggingface/datasets/issues/5374 | {
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https://github.com/huggingface/datasets/issues/5381 | 5,381 | Wrong URL for the_pile dataset | {
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"Hi! This error can happen if there is a local file/folder with the same name as the requested dataset. And to avoid it, rename the local file/folder.\r\n\r\nSoon, it will be possible to explicitly request a Hub dataset as follows:https://github.com/huggingface/datasets/issues/5228#issuecomment-1313494020"
] | 2022-12-20T12:40:14Z | 2023-02-15T16:24:57Z | 2023-02-15T16:24:57Z | NONE | null | null | ### Describe the bug
When trying to load `the_pile` dataset from the library, I get a `FileNotFound` error.
### Steps to reproduce the bug
Steps to reproduce:
Run:
```
from datasets import load_dataset
dataset = load_dataset("the_pile")
```
I get the output:
"name": "FileNotFoundError",
"message... | {
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https://github.com/huggingface/datasets/issues/5380 | 5,380 | Improve dataset `.skip()` speed in streaming mode | {
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"Hi! I agree `skip` can be inefficient to use in the current state.\r\n\r\nTo make it fast, we could use \"statistics\" stored in Parquet metadata and read only the chunks needed to form a dataset. \r\n\r\nAnd thanks to the \"datasets-server\" project, which aims to store the Parquet versions of the Hub datasets (o... | 2022-12-20T11:25:23Z | 2023-03-08T10:47:12Z | null | CONTRIBUTOR | null | null | ### Feature request
Add extra information to the `dataset_infos.json` file to include the number of samples/examples in each shard, for example in a new field `num_examples` alongside `num_bytes`. The `.skip()` function could use this information to ignore the download of a shard when in streaming mode, which AFAICT... | null | {
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https://github.com/huggingface/datasets/pull/5379 | 5,379 | feat: depth estimation dataset guide. | {
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"Thanks for the changes, looks good to me!",
"@stevhliu I have pushed some quality improvements both in terms of code and content. Would you be able to re-review? ",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0... | 2022-12-20T05:32:11Z | 2023-01-13T12:30:31Z | 2023-01-13T12:23:34Z | MEMBER | false | {
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PR to add documentation images is up here: https://huggingface.co/datasets/huggingface/documentation-images/discussions/22 | {
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https://github.com/huggingface/datasets/issues/5378 | 5,378 | The dataset "the_pile", subset "enron_emails" , load_dataset() failure | {
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"Thanks for reporting @shaoyuta. We are investigating it.\r\n\r\nWe are transferring the issue to \"the_pile\" Community tab on the Hub: https://huggingface.co/datasets/the_pile/discussions/4"
] | 2022-12-20T02:19:13Z | 2022-12-20T07:52:54Z | 2022-12-20T07:52:54Z | NONE | null | null | ### Describe the bug
When run
"datasets.load_dataset("the_pile","enron_emails")" failure
### Steps to reproduce the bug
Run below code in python cli:
>>> import datasets
>>> datasets.load_dataset(... | {
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https://github.com/huggingface/datasets/pull/5377 | 5,377 | Add a parallel implementation of to_tf_dataset() | {
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The core idea is that we do everything using `multiprocessing` and... | {
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https://github.com/huggingface/datasets/pull/5376 | 5,376 | set dev version | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_5376). All of your documentation changes will be reflected on that endpoint."
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https://github.com/huggingface/datasets/pull/5375 | 5,375 | Release: 2.8.0 | {
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https://github.com/huggingface/datasets/issues/5374 | 5,374 | Using too many threads results in: Got disconnected from remote data host. Retrying in 5sec | {
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"The data files are hosted on HF at https://huggingface.co/datasets/allenai/c4/tree/main\r\n\r\nYou have 200 runs streaming the same files in parallel. So this is probably a Hub limitation. Maybe rate limiting ? cc @julien-c \r\n\r\nMaybe you can also try to reduce the number of HTTP requests by increasing the bloc... | 2022-12-18T11:38:58Z | 2023-07-24T15:23:07Z | 2023-07-24T15:23:07Z | CONTRIBUTOR | null | null | ### Describe the bug
`streaming_download_manager` seems to disconnect if too many runs access the same underlying dataset 🧐
The code works fine for me if I have ~100 runs in parallel, but disconnects once scaling to 200.
Possibly related:
- https://github.com/huggingface/datasets/pull/3100
- https://github.com/... | {
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https://github.com/huggingface/datasets/pull/5373 | 5,373 | Simplify skipping | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Was hoping to find a way to speed up the skipping as I'm running into bottlenecks skipping 100M examples on C4 (it takes 12 hours to skip), but didn't find anything better than this small change :(
Maybe there's a way to directly skip whole shards to speed it up? 🧐 | {
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https://github.com/huggingface/datasets/pull/5372 | 5,372 | Fix streaming pandas.read_excel | {
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"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==6.0.0\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... | 2022-12-17T12:58:52Z | 2023-01-06T11:50:58Z | 2023-01-06T11:43:37Z | MEMBER | false | {
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- Support passing a path string, besides a file-like object
- Support passing `use_auth_token`
- First assumes the host server supports HTTP range requests; only if a ValueError is thrown (Cannot seek streaming HTTP file), then it preserves previous behavior (see [#3355](https://g... | {
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https://github.com/huggingface/datasets/issues/5371 | 5,371 | Add a robustness benchmark dataset for vision | {
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"Ccing @nazneenrajani @lvwerra @osanseviero "
] | 2022-12-17T12:35:13Z | 2022-12-20T06:21:41Z | null | MEMBER | null | null | ### Name
ImageNet-C
### Paper
Benchmarking Neural Network Robustness to Common Corruptions and Perturbations
### Data
https://github.com/hendrycks/robustness
### Motivation
It's a known fact that vision models are brittle when they meet with slightly corrupted and perturbed data. This is also corre... | null | {
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https://github.com/huggingface/datasets/pull/5369 | 5,369 | Distributed support | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | To split your dataset across your training nodes, you can use the new [`datasets.distributed.split_dataset_by_node`]:
```python
import os
from datasets.distributed import split_dataset_by_node
ds = split_dataset_by_node(ds, rank=int(os.environ["RANK"]), world_size=int(os.environ["WORLD_SIZE"]))
```
This wor... | {
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https://github.com/huggingface/datasets/pull/5368 | 5,368 | Align remove columns behavior and input dict mutation in `map` with previous behavior | {
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https://github.com/huggingface/datasets/pull/5367 | 5,367 | Fix remove columns from lazy dict | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This was introduced in https://github.com/huggingface/datasets/pull/5252 and causing the transformers CI to break: https://app.circleci.com/pipelines/github/huggingface/transformers/53886/workflows/522faf2e-a053-454c-94f8-a617fde33393/jobs/648597
Basically this code should return a dataset with only one column:
`... | {
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https://github.com/huggingface/datasets/pull/5366 | 5,366 | ExamplesIterable fixes | {
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https://github.com/huggingface/datasets/pull/5365 | 5,365 | fix: image array should support other formats than uint8 | {
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"Hi, thanks for working on this! \r\n\r\nI agree that the current type-casting (always cast to `np.uint8` as Tensorflow Datasets does) is a bit too harsh. However, not all dtypes are supported in `Image.fromarray` (e.g. np.int64), so ... | 2022-12-15T13:17:50Z | 2023-01-26T18:46:45Z | 2023-01-26T18:39:36Z | CONTRIBUTOR | false | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Currently images that are provided as ndarrays, but not in `uint8` format are going to loose data. Namely, for example in a depth image where the data is in float32 format, the type-casting to uint8 will basically make the whole image blank.
`PIL.Image.fromarray` [does support mode `F`](https://pillow.readthedocs.io/e... | {
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https://github.com/huggingface/datasets/pull/5364 | 5,364 | Support for writing arrow files directly with BeamWriter | {
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"Deleting `BeamPipeline` and `upload_local_to_remote` would break the existing Beam scripts, so I reverted this change.\r\n\r\nFrom what I understan... | 2022-12-15T12:38:05Z | 2024-01-11T14:52:33Z | 2024-01-11T14:45:15Z | COLLABORATOR | true | {
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