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https://api.github.com/repos/huggingface/datasets/issues/2823 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2823/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2823/comments | https://api.github.com/repos/huggingface/datasets/issues/2823/events | https://github.com/huggingface/datasets/issues/2823 | 976,135,355 | MDU6SXNzdWU5NzYxMzUzNTU= | 2,823 | HF_DATASETS_CACHE variable in Windows | {
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"Agh - I'm a muppet. No quote marks are needed.\r\nset HF_DATASETS_CACHE = C:\\Datasets\r\nworks as intended."
] | 1,629,551,864,000 | 1,629,552,011,000 | 1,629,552,011,000 | NONE | null | I can't seem to use a custom Cache directory in Windows. I have tried:
set HF_DATASETS_CACHE = "C:\Datasets"
set HF_DATASETS_CACHE = "C:/Datasets"
set HF_DATASETS_CACHE = "C:\\Datasets"
set HF_DATASETS_CACHE = "r'C:\Datasets'"
set HF_DATASETS_CACHE = "\Datasets"
set HF_DATASETS_CACHE = "/Datasets"
In each in... | {
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https://api.github.com/repos/huggingface/datasets/issues/2822 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2822/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2822/comments | https://api.github.com/repos/huggingface/datasets/issues/2822/events | https://github.com/huggingface/datasets/pull/2822 | 975,744,463 | MDExOlB1bGxSZXF1ZXN0NzE2ODUxMTAy | 2,822 | Add url prefix convention for many compression formats | {
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"Thanks for the feedback :) I will also complete the documentation to explain this convention",
"I just added some documentation about how streaming works with chained URLs.\r\n\r\nI will also add some docs about how to use chained URLs directly in `load_dataset` in #2662, since #2662 does change the documentatio... | 1,629,475,883,000 | 1,629,734,356,000 | 1,629,734,354,000 | MEMBER | null | ## Intro
When doing dataset streaming, the uncompression of compressed files is done on the fly using `fsspec`.
In particular, the download manager method `download_and_extract` doesn't return a path to the local download and extracted file, but instead a chained URL so that the uncompression can be done when the... | {
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https://api.github.com/repos/huggingface/datasets/issues/2821 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2821/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2821/comments | https://api.github.com/repos/huggingface/datasets/issues/2821/events | https://github.com/huggingface/datasets/issues/2821 | 975,556,032 | MDU6SXNzdWU5NzU1NTYwMzI= | 2,821 | Cannot load linnaeus dataset | {
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"Thanks for reporting ! #2852 fixed this error\r\n\r\nWe'll do a new release of `datasets` soon :)"
] | 1,629,461,715,000 | 1,630,415,582,000 | 1,630,415,529,000 | CONTRIBUTOR | null | ## Describe the bug
The [linnaeus](https://huggingface.co/datasets/linnaeus) dataset cannot be loaded. To reproduce:
```
from datasets import load_dataset
datasets = load_dataset("linnaeus")
```
This results in:
```
Downloading and preparing dataset linnaeus/linnaeus (download: 17.36 MiB, generated: 8.74 MiB,... | {
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https://api.github.com/repos/huggingface/datasets/issues/2820 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2820/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2820/comments | https://api.github.com/repos/huggingface/datasets/issues/2820/events | https://github.com/huggingface/datasets/issues/2820 | 975,210,712 | MDU6SXNzdWU5NzUyMTA3MTI= | 2,820 | Downloading “reddit” dataset keeps timing out. | {
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"```\r\nUsing custom data configuration default\r\nDownloading and preparing dataset reddit/default (download: 2.93 GiB, generated: 17.64 GiB, post-processed: Unknown size, total: 20.57 GiB) to /Volumes/My Passport for Mac/og-chat-data/reddit/default/1.0.0/98ba5abea674d3178f7588aa6518a5510dc0c6fa8176d9653a3546d5afc... | 1,629,427,956,000 | 1,631,112,722,000 | 1,631,112,722,000 | NONE | null | ## Describe the bug
A clear and concise description of what the bug is.
Everytime I try and download the reddit dataset it times out before finishing and I have to try again.
There is some timeout error that I will post once it happens again.
## Steps to reproduce the bug
```python
from datasets import load_d... | {
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https://api.github.com/repos/huggingface/datasets/issues/2819 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2819/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2819/comments | https://api.github.com/repos/huggingface/datasets/issues/2819/events | https://github.com/huggingface/datasets/pull/2819 | 974,683,155 | MDExOlB1bGxSZXF1ZXN0NzE1OTUyMjE1 | 2,819 | Added XL-Sum dataset | {
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"Thanks for adding this one ! I just did some minor changes and set the timeout back to 100sec instead of 1000",
"The CI failure is unrelated to this PR - let me take a look",
"> Thanks for adding this one! I just did some minor changes and set the timeout back to 100sec instead of 1000\r\n\r\nThank you for upd... | 1,629,380,865,000 | 1,632,903,224,000 | 1,632,419,345,000 | NONE | null | Added XL-Sum dataset published in ACL-IJCNLP 2021. (https://aclanthology.org/2021.findings-acl.413/). The default timeout values in `src/datasets/utils/file_utls.py` were increased to enable downloading from the original google drive links. | {
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https://api.github.com/repos/huggingface/datasets/issues/2818 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2818/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2818/comments | https://api.github.com/repos/huggingface/datasets/issues/2818/events | https://github.com/huggingface/datasets/issues/2818 | 974,552,009 | MDU6SXNzdWU5NzQ1NTIwMDk= | 2,818 | cannot load data from my loacal path | {
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"Hi ! The `data_files` parameter must be a string, a list/tuple or a python dict.\r\n\r\nCan you check the type of your `config.train_path` please ? Or use `data_files=str(config.train_path)` ?"
] | 1,629,371,610,000 | 1,630,399,576,000 | null | NONE | null | ## Describe the bug
I just want to directly load data from my local path,but find a bug.And I compare it with pandas to provide my local path is real.
here is my code
```python3
# print my local path
print(config.train_path)
# read data and print data length
tarin=pd.read_csv(config.train_path)
print(len(tari... | {
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"Sounds good. Should we also have a “the_pile” dataset with the subsets as configuration?",
"I think the main `the_pile` datasets will be the one that is the mix of all the subsets: https://the-eye.eu/public/AI/pile/\r\n\r\nWe can also add configurations for each subset, and even allow users to specify the subset... | 1,629,366,982,000 | 1,629,735,850,000 | 1,629,735,849,000 | MEMBER | null | After discussing with @yjernite we think it's better to have the subsets of The Pile explicitly have "the_pile" in their names.
I'm doing the changes for the subsets that @richarddwang added:
- [x] books3 -> the_pile_books3 https://github.com/huggingface/datasets/pull/2801
- [x] stack_exchange -> the_pile_stack_ex... | {
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"I started working on that."
] | 1,629,318,519,000 | 1,631,261,060,000 | null | MEMBER | null | ## Adding a Dataset
- **Name:** Mostly Basic Python Problems Dataset
- **Description:** The benchmark consists of around 1,000 crowd-sourced Python programming problems, designed to be solvable by entry level programmers, covering programming fundamentals, standard library functionality, and so on. Each problem consi... | {
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"following_url"... | [] | 1,629,304,571,000 | 1,629,360,182,000 | 1,629,360,182,000 | CONTRIBUTOR | null | Noticed a few of these when reading docs- feel free to ignore the PR and just fix on some main contributor branch if more helpful. Thanks for the great library! :) | {
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https://api.github.com/repos/huggingface/datasets/issues/2814 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2814/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2814/comments | https://api.github.com/repos/huggingface/datasets/issues/2814/events | https://github.com/huggingface/datasets/pull/2814 | 973,632,645 | MDExOlB1bGxSZXF1ZXN0NzE1MDUwODc4 | 2,814 | Bump tqdm version | {
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"following_url"... | [] | 1,629,291,089,000 | 1,629,294,251,000 | 1,629,293,990,000 | CONTRIBUTOR | null | The recently released tqdm 4.62.1 includes a fix for PermissionError on Windows (submitted by me in https://github.com/tqdm/tqdm/pull/1207), which means we can remove expensive `gc.collect` calls by bumping tqdm to that version. This PR does exactly that and, additionally, fixes a `disable_tqdm` definition that would p... | {
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https://api.github.com/repos/huggingface/datasets/issues/2813 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2813/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2813/comments | https://api.github.com/repos/huggingface/datasets/issues/2813/events | https://github.com/huggingface/datasets/issues/2813 | 973,470,580 | MDU6SXNzdWU5NzM0NzA1ODA= | 2,813 | Remove compression from xopen | {
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"After discussing with @lhoestq, a reasonable alternative:\r\n- `download_manager.extract(urlpath)` adds prefixes to `urlpath` in the same way as `fsspec` does for protocols, but we implement custom prefixes for all compression formats: \r\n `bz2::http://domain.org/filename.bz2`\r\n- `xopen` parses the `urlpath` a... | 1,629,279,359,000 | 1,629,734,354,000 | 1,629,734,354,000 | MEMBER | null | We implemented support for streaming with 2 requirements:
- transparent use for the end user: just needs to pass the parameter `streaming=True`
- no additional work for the contributors: previous loading scripts should also work in streaming mode with no (or minor) changes; and new loading scripts should not involve ... | {
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"following_url"... | [] | 1,629,223,308,000 | 1,642,601,735,000 | null | CONTRIBUTOR | null | ## Describe the bug
`dataset_infos.json` for `arxiv_dataset` contains a fixed number of training examples, however the data (downloaded from an external source) is updated every week with additional examples.
Therefore, loading the dataset without `ignore_verifications=True` results in a verification error. | {
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"One additional note: if we can try to not change the code of oscar.py too often, I'm sure users that have it in their cache directory will be happy to not have to redownload it every time they update the library ;)\r\n\r\n(since changing the code changes the cache directory of the dataset)",
"I don't think this ... | 1,629,195,059,000 | 1,629,973,575,000 | 1,629,973,574,000 | MEMBER | null | Previously, an additional `open` was added to oscar to make it stream-compatible: 587bbb94e891b22863b312b99696e32708c379f4.
This was argued that might be problematic: https://github.com/huggingface/datasets/pull/2786#discussion_r690045921
This PR:
- removes that additional `open`
- patches `gzip.open` with `xop... | {
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"following_url"... | [] | 1,629,129,552,000 | 1,629,129,552,000 | null | MEMBER | null | **Is your feature request related to a problem? Please describe.**
Several of the [Wikipedia corpora](https://huggingface.co/datasets?search=wiki) on the Hub involve quite large files that would be a good candidate for streaming. Currently it is not possible to stream these corpora:
```python
from datasets import ... | {
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"following_url"... | [] | 1,629,127,271,000 | 1,630,341,325,000 | 1,630,341,324,000 | CONTRIBUTOR | null | Adds Microsoft's [Cats vs. Dogs](https://www.microsoft.com/en-us/download/details.aspx?id=54765) dataset. | {
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"In case it's relevant for this PR, I'm finding that I cannot stream the `bookcorpus` dataset (using the `master` branch of `datasets`), which is a `.tar.bz2` file:\r\n\r\n```python\r\nfrom datasets import load_dataset\r\n\r\nbooks_dataset_streamed = load_dataset(\"bookcorpus\", split=\"train\", streaming=True)\r\n... | 1,629,112,228,000 | 1,634,115,843,000 | 1,634,115,842,000 | MEMBER | null | Previous PR #2800 implemented support to stream remote tar files when passing the parameter `data_files`: they required a glob string `"*"`.
However, this glob string creates an error when streaming canonical datasets (with a `join` after the `open`).
This PR fixes this issue and allows streaming tar files both f... | {
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However, that broke streaming zip files used in canonical `datasets` scripts, which normally have a subsequent `join()` (patched with `xjoin()`) after the `StreamingDownloadManager.download_and_extract()` is called.
This P... | {
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"following_url"... | [] | 1,629,087,975,000 | 1,629,469,893,000 | 1,629,377,286,000 | CONTRIBUTOR | null | Adds image classification dataset [Food-101](https://data.vision.ee.ethz.ch/cvl/datasets_extra/food-101/). | {
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"Hi ! Merging this one since it's all good :)\r\n\r\nHowever I think it would also be better to actually rename it `the_pile_stack_exchange` to make things clearer and to avoid name collisions in the future. I would like to do the same for `books3` as well.\r\n\r\nIf you don't mind I'll open a PR to do the renaming... | 1,628,928,662,000 | 1,629,367,653,000 | 1,629,360,458,000 | CONTRIBUTOR | null | stack exchange is part of EleutherAI/The Pile, but AFAIK, The Pile dataset blend all sub datasets together thus we are not able to use just one of its sub dataset from The Pile data. So I create an independent dataset using The Pile preliminary components.
I also change default `timeout` to 100 seconds instead of 10... | {
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"It seems we need to `pip install jsonlines` to pass the checks ?",
"Hi ! Do you really need `jsonlines` ? I think it simply uses `json.loads` under the hood.\r\n\r\nCurrently the test are failing because `jsonlines` is not part of the extra requirements `TESTS_REQUIRE` in setup.py\r\n\r\nSo either you can replac... | 1,628,924,943,000 | 1,629,727,574,000 | 1,629,727,574,000 | CONTRIBUTOR | null | openwebtext2 is part of EleutherAI/The Pile, but AFAIK, The Pile dataset blend all sub datasets together thus we are not able to use just one of its sub dataset from The Pile data. So I create an independent dataset using The Pile preliminary components.
When I was creating dataset card. I found there is room for cr... | {
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"> When I was creating dataset card. I found there is room for creating / editing dataset card. I've made it an issue. #2797\r\n\r\nThanks for the message, we'll definitely improve this\r\n\r\n> Also I am wondering whether the import of The Pile dataset is actively undertaken (because I may need it recently)? #1675... | 1,628,924,665,000 | 1,629,391,389,000 | 1,629,301,019,000 | CONTRIBUTOR | null | books3 is part of EleutherAI/The Pile, but AFAIK, The Pile dataset blend all sub datasets together thus we are not able to use just one of its sub dataset from The Pile data. So I create an independent dataset using The Pile preliminary components.
When I was creating dataset card. I found there is room for creating... | {
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"Hi ! Why do we need the custom `readline` for exactly ? feel free to add a comment to say why it's needed"
] | 1,628,916,017,000 | 1,629,972,150,000 | 1,628,916,957,000 | MEMBER | null | This PR adds support to stream tar files by using the `fsspec` tar protocol.
It also uses the custom `readline` implemented in PR #2786.
The corresponding test is implemented in PR #2786. | {
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https://api.github.com/repos/huggingface/datasets/issues/2799 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2799/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2799/comments | https://api.github.com/repos/huggingface/datasets/issues/2799/events | https://github.com/huggingface/datasets/issues/2799 | 970,507,351 | MDU6SXNzdWU5NzA1MDczNTE= | 2,799 | Loading JSON throws ArrowNotImplementedError | {
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"Hi @lewtun, thanks for reporting.\r\n\r\nApparently, `pyarrow.json` tries to cast timestamp-like fields in your JSON file to pyarrow timestamp type, and it fails with `ArrowNotImplementedError`.\r\n\r\nI will investigate if there is a way to tell pyarrow not to try that timestamp casting.",
"I think the issue is... | 1,628,868,708,000 | 1,641,841,172,000 | 1,641,841,172,000 | MEMBER | null | ## Describe the bug
I have created a [dataset](https://huggingface.co/datasets/lewtun/github-issues-test) of GitHub issues in line-separated JSON format and am finding that I cannot load it with the `json` loading script (see stack trace below).
Curiously, there is no problem loading the dataset with `pandas` which... | {
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"Hi ! I don't fully understand this change @albertvillanova \r\nThe `_extract` method used to return the compound URL that points to the root of the inside of the archive.\r\nThis way users can use the usual os.path.join or other functions to point to the relevant files. I don't see why you're using a glob pattern ... | 1,628,867,821,000 | 1,629,123,410,000 | 1,628,869,108,000 | MEMBER | null | Currently, streaming remote zip data files gives `FileNotFoundError` message:
```python
data_files = f"https://huggingface.co/datasets/albertvillanova/datasets-tests-compression/resolve/main/sample.zip"
ds = load_dataset("json", split="train", data_files=data_files, streaming=True)
next(iter(ds))
```
This PR fi... | {
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"following_url"... | [] | 1,628,855,689,000 | 1,628,930,529,000 | null | CONTRIBUTOR | null | **Is your feature request related to a problem? Please describe.**
Creating and editing dataset cards should be but not that easy
- If other else know Some information I don't know (bias of dataset, dataset curation, supported dataset, ...), he/she should know the description on hf.co comes from README.md under git... | {
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"> Hi ! Thanks a lot for adding this one :)\r\n> \r\n> Good job with the dataset card and the dataset script !\r\n> \r\n> I left a few suggestions\r\n\r\nThank you very much for your helpful suggestions. I have tried to carry them all out."
] | 1,628,847,455,000 | 1,630,080,096,000 | 1,630,080,096,000 | CONTRIBUTOR | null | null | {
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"following_url"... | [] | 1,628,809,753,000 | 1,628,809,771,000 | null | NONE | null | ## Describe the bug
I have a docs bug and a closely related docs enhancement suggestion!
### Bug
The warning and documentation say "either `dill` or `pickle`" for fingerprinting. But it seems that `dill`, which is installed by `datasets` by default, _must_ work, or else the fingerprinting fails.
Warning:
... | {
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"@albertvillanova my tests are failing here:\r\n```\r\ndataset_name = 'gooaq'\r\n\r\n def test_load_dataset(self, dataset_name):\r\n configs = self.dataset_tester.load_all_configs(dataset_name, is_local=True)[:1]\r\n> self.dataset_tester.check_load_dataset(dataset_name, configs, is_local=True, use_l... | 1,628,768,418,000 | 1,630,079,925,000 | 1,630,079,894,000 | CONTRIBUTOR | null | [GooAQ](https://github.com/allenai/gooaq) dataset was recently updated after splits were added for the same. This PR contains new updated GooAQ with train/val/test splits and updated README as well. | {
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https://api.github.com/repos/huggingface/datasets/issues/2789 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2789/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2789/comments | https://api.github.com/repos/huggingface/datasets/issues/2789/events | https://github.com/huggingface/datasets/pull/2789 | 967,361,934 | MDExOlB1bGxSZXF1ZXN0NzA5NTQwMzY5 | 2,789 | Updated dataset description of DaNE | {
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"Thanks for finishing it @albertvillanova "
] | 1,628,711,928,000 | 1,628,784,659,000 | 1,628,784,361,000 | CONTRIBUTOR | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2788 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2788/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2788/comments | https://api.github.com/repos/huggingface/datasets/issues/2788/events | https://github.com/huggingface/datasets/issues/2788 | 967,149,389 | MDU6SXNzdWU5NjcxNDkzODk= | 2,788 | How to sample every file in a list of files making up a split in a dataset when loading? | {
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"Hi ! This is not possible just with `load_dataset`.\r\n\r\nYou can do something like this instead:\r\n```python\r\nseed=42\r\ndata_files_dict = {\r\n \"train\": [train_file1, train_file2],\r\n \"test\": [test_file1, test_file2],\r\n \"val\": [val_file1, val_file2]\r\n}\r\ndataset = datasets.load_dataset(\... | 1,628,703,801,000 | 1,629,738,742,000 | null | NONE | null | I am loading a dataset with multiple train, test, and validation files like this:
```
data_files_dict = {
"train": [train_file1, train_file2],
"test": [test_file1, test_file2],
"val": [val_file1, val_file2]
}
dataset = datasets.load_dataset(
"csv",
data_files=data_files_dict,
split=[... | {
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"the bug code locate in ：\r\n if data_args.task_name is not None:\r\n # Downloading and loading a dataset from the hub.\r\n datasets = load_dataset(\"glue\", data_args.task_name, cache_dir=model_args.cache_dir)",
"Hi @jinec,\r\n\r\nFrom time to time we get this kind of `ConnectionError` coming fr... | 1,628,698,741,000 | 1,637,735,138,000 | 1,629,299,358,000 | NONE | null | Hello,
I am trying to run run_glue.py and it gives me this error -
Traceback (most recent call last):
File "E:/BERT/pytorch_hugging/transformers/examples/pytorch/text-classification/run_glue.py", line 546, in <module>
main()
File "E:/BERT/pytorch_hugging/transformers/examples/pytorch/text-classification/... | {
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https://api.github.com/repos/huggingface/datasets/issues/2786 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2786/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2786/comments | https://api.github.com/repos/huggingface/datasets/issues/2786/events | https://github.com/huggingface/datasets/pull/2786 | 966,282,934 | MDExOlB1bGxSZXF1ZXN0NzA4NTQwMzU0 | 2,786 | Support streaming compressed files | {
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"following_url"... | [] | 1,628,672,526,000 | 1,629,178,119,000 | 1,629,095,779,000 | MEMBER | null | Add support to stream compressed files (current options in fsspec):
- bz2
- lz4
- xz
- zstd
cc: @lewtun | {
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https://api.github.com/repos/huggingface/datasets/issues/2783 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2783/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2783/comments | https://api.github.com/repos/huggingface/datasets/issues/2783/events | https://github.com/huggingface/datasets/pull/2783 | 965,461,382 | MDExOlB1bGxSZXF1ZXN0NzA3NzcxOTM3 | 2,783 | Add KS task to SUPERB | {
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"thanks a lot for implementing this @anton-l !!\r\n\r\ni won't have time to review this while i'm away, so happy for @albertvillanova and @patrickvonplaten to decide when to merge :)",
"@albertvillanova thanks! Everything should be ready now :)",
"> The _background_noise_/_silence_ audio files are much longer t... | 1,628,633,647,000 | 1,628,786,701,000 | 1,628,713,157,000 | MEMBER | null | Add the KS (keyword spotting) task as described in the [SUPERB paper](https://arxiv.org/abs/2105.01051).
- [s3prl instructions](https://github.com/s3prl/s3prl/blob/master/s3prl/downstream/README.md#ks-keyword-spotting)
- [s3prl implementation](https://github.com/s3prl/s3prl/blob/master/s3prl/downstream/speech_comma... | {
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https://api.github.com/repos/huggingface/datasets/issues/2782 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2782/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2782/comments | https://api.github.com/repos/huggingface/datasets/issues/2782/events | https://github.com/huggingface/datasets/pull/2782 | 964,858,439 | MDExOlB1bGxSZXF1ZXN0NzA3MjQ5NDE5 | 2,782 | Fix renaming of corpus_bleu args | {
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"following_url"... | [] | 1,628,593,354,000 | 1,628,594,167,000 | 1,628,594,167,000 | MEMBER | null | Last `sacrebleu` release (v2.0.0) has renamed `sacrebleu.corpus_bleu` args from `(sys_stream, ref_streams)` to `(hipotheses, references)`: https://github.com/mjpost/sacrebleu/pull/152/files#diff-2553a315bb1f7e68c9c1b00d56eaeb74f5205aeb3a189bc3e527b122c6078795L17-R15
This PR passes the args without parameter names, s... | {
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After `sacrebleu` v2.0.0 release (see changes here: https://github.com/mjpost/sacrebleu/pull/152/files#diff-2553a315bb1f7e68c9c1b00d56eaeb74f5205aeb3a189bc3e527b122c6078795L17-R15), some of `datasets` metrics are broken:
- Default tokenizer `sacrebleu.DEFAULT_TOKENIZER` no longer exists:
- #273... | {
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This PR makes a hot fix of the bug by using a private function in `sacrebleu`: `sacrebleu.metrics.bleu._get_tokenizer()... | {
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This PR does not pass `tokenize` to `sacrebleu` (note that the user cannot pass it anyway) and `sacrebleu` will ... | {
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Related to #2769. | {
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"following_url"... | [] | 1,628,544,197,000 | 1,628,544,197,000 | null | MEMBER | null | https://github.com/huggingface/datasets/pull/1976 implemented `HF_DATASETS_OFFLINE`, but:
1. `config.HF_DATASETS_OFFLINE` is not documented
2. the precedence is not documented (env, config)
I'm thinking it probably should be similar to what it says https://huggingface.co/docs/datasets/loading_datasets.html#from-th... | {
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"I dug into what I believe is the root of this issue and added a repro in my comment. If this is better addressed as a cross-team issue, let me know and I can open an issue in the Transformers repo",
"Hi !\r\n\r\nIMO we shouldn't try to modify `set_seed` from transformers but maybe make `datasets` have its own RN... | 1,628,537,331,000 | 1,629,966,654,000 | null | NONE | null | ## Describe the bug
**Update:** I dug into this to try to reproduce the underlying issue, and I believe it's that `set_seed()` from the `transformers` library makes the "random" fingerprint identical each time. I believe this is still a bug, because `datasets` is used exactly this way in `transformers` after `set_se... | {
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"I'm guessing tests are failling, because this was pushed before https://github.com/huggingface/datasets/pull/2779 was merged? cc @albertvillanova ",
"Hi @thomasw21, yes you are right: those failing tests were fixed with #2779.\r\n\r\nWould you mind to merge current upstream master branch and push again?\r\n```\r... | 1,628,511,098,000 | 1,631,182,828,000 | 1,631,182,828,000 | MEMBER | null | ## Context
On our setup, we use different setup to train vs proprocessing datasets. Usually we are able to obtain a high number of cpus to preprocess, which allows us to use `num_proc` however we can't use as many during training phase. Currently if we use `num_proc={whatever the preprocessing value was}` we load fr... | {
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"following_url"... | [] | 1,628,494,999,000 | 1,628,494,999,000 | null | MEMBER | null | **Is your feature request related to a problem? Please describe.**
As discussed, there are infos in the `dataset_infos.json` which are redundant and we could have them only in the README file.
Others could be migrated to the README, like: "dataset_size", "size_in_bytes", "download_size", "splits.split_name.[num_byt... | {
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"following_url"... | [] | 1,628,395,290,000 | 1,628,412,481,000 | null | NONE | null | In the current version, the returned value of the map function has to be list or ndarray. However, this makes it unsuitable for many tasks. In NLP, many features are sparse like verb words, noun chunks, if we want to assign different values to different words, which will result in a large sparse matrix if we only score... | {
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"Hi ! I think the name `common_voice_7` is fine :)\r\nMoreover if the dataset_infos.json is missing I'm pretty sure you don't need to specify `ignore_verifications=True`",
"Hi, how about to add a new parameter \"version\" in the function load_dataset, something like: \r\n`load_dataset(\"common_voice\", \"lg\", ve... | 1,628,352,070,000 | 1,638,833,042,000 | 1,638,833,042,000 | MEMBER | null | This PR allows to load the new common voice dataset manually as explained when doing:
```python
from datasets import load_dataset
ds = load_dataset("./datasets/datasets/common_voice_7", "ab")
```
=>
```
Please follow the manual download instructions:
You need t... | {
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https://api.github.com/repos/huggingface/datasets/issues/2770 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2770/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2770/comments | https://api.github.com/repos/huggingface/datasets/issues/2770/events | https://github.com/huggingface/datasets/pull/2770 | 963,246,512 | MDExOlB1bGxSZXF1ZXN0NzA1OTAzMzIy | 2,770 | Add support for fast tokenizer in BertScore | {
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"following_url"... | [] | 1,628,348,403,000 | 1,628,512,483,000 | 1,628,507,785,000 | CONTRIBUTOR | null | This PR adds support for a fast tokenizer in BertScore, which has been added recently to the lib.
Fixes #2765 | {
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https://api.github.com/repos/huggingface/datasets/issues/2769 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2769/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2769/comments | https://api.github.com/repos/huggingface/datasets/issues/2769/events | https://github.com/huggingface/datasets/pull/2769 | 963,240,802 | MDExOlB1bGxSZXF1ZXN0NzA1ODk5MTYy | 2,769 | Allow PyArrow from source | {
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"following_url"... | [] | 1,628,346,404,000 | 1,628,523,519,000 | 1,628,523,519,000 | MEMBER | null | When installing pyarrow from source the version is:
```python
>>> import pyarrow; pyarrow.__version__
'2.1.0.dev612'
```
-> however this breaks the install check at init of `datasets`. This PR makes sure that everything coming after the last `'.'` is removed. | {
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https://api.github.com/repos/huggingface/datasets/issues/2768 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2768/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2768/comments | https://api.github.com/repos/huggingface/datasets/issues/2768/events | https://github.com/huggingface/datasets/issues/2768 | 963,229,173 | MDU6SXNzdWU5NjMyMjkxNzM= | 2,768 | `ArrowInvalid: Added column's length must match table's length.` after using `select` | {
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"Hi,\r\n\r\nthe `select` method creates an indices mapping and doesn't modify the underlying PyArrow table by default for better performance. To modify the underlying table after the `select` call, call `flatten_indices` on the dataset object as follows:\r\n```python\r\nfrom datasets import load_dataset\r\n\r\nds =... | 1,628,342,249,000 | 1,628,508,403,000 | 1,628,508,403,000 | MEMBER | null | ## Describe the bug
I would like to add a column to a downsampled dataset. However I get an error message saying the length don't match with the length of the unsampled dataset indicated. I suspect that the dataset size is not updated when calling `select`.
## Steps to reproduce the bug
```python
from datasets im... | {
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"Hi @lhoestq \r\nMaybe this is clearer to explain like this, currently map function, map one example to \"one\" modified one, lets assume we want to map one example to \"multiple\" examples, in which we do not know in advance how many examples they would be per each entry. I greatly appreciate telling me how I can ... | 1,628,279,152,000 | 1,646,661,480,000 | 1,646,661,480,000 | NONE | null | Hi
I need to use "unbatch" operation in tensorflow on a huggingface dataset, I could not find this operation, could you kindly direct me how I can do it, here is the problem I am trying to solve:
I am considering "record" dataset in SuperGlue and I need to replicate each entery of the dataset for each answer, to ma... | {
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"Hi,\r\n\r\nThe `use_fast_tokenizer` argument has been recently added to the bert-score lib. I've opened a PR with the fix. In the meantime, you can try to downgrade the version of bert-score with the following command to make the code work:\r\n```\r\npip uninstall bert-score\r\npip install \"bert-score<0.3.10\"\r\... | 1,628,265,537,000 | 1,628,507,785,000 | 1,628,507,785,000 | NONE | null | ## Describe the bug
A clear and concise description of what the bug is.
## Steps to reproduce the bug
```python
predictions = ["hello there", "general kenobi"]
references = ["hello there", "general kenobi"]
bert = load_metric('bertscore')
bert.compute(predictions=predictions, references=references,lang='en')
... | {
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https://api.github.com/repos/huggingface/datasets/issues/2763 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2763/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2763/comments | https://api.github.com/repos/huggingface/datasets/issues/2763/events | https://github.com/huggingface/datasets/issues/2763 | 961,895,523 | MDU6SXNzdWU5NjE4OTU1MjM= | 2,763 | English wikipedia datasets is not clean | {
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"Hi ! Certain users might need these data (for training or simply to explore/index the dataset).\r\n\r\nFeel free to implement a map function that gets rid of these paragraphs and process the wikipedia dataset with it before training"
] | 1,628,174,244,000 | 1,629,738,016,000 | null | CONTRIBUTOR | null | ## Describe the bug
Wikipedia english dumps contain many wikipedia paragraphs like "References", "Category:" and "See Also" that should not be used for training.
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
from datasets import load_dataset
w = load_dataset('wikipedia', '20200501.e... | {
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"cc @nateraw ",
"#self-assign",
"[labels_only.tar.gz](https://docs.google.com/uc?authuser=0&id=0B0NKIRwUL9KYcXo3bV9LU0t3SGs&export=download) on the RVL-CDIP website does not work for me.\r\n\r\n> 404. That’s an error. The requested URL was not found on this server.\r\n\r\nI contacted the author ( Adam Harley) r... | 1,628,157,425,000 | 1,647,928,483,000 | null | CONTRIBUTOR | null | ## Adding a Dataset
- **Name:** RVL-CDIP
- **Description:** The RVL-CDIP (Ryerson Vision Lab Complex Document Information Processing) dataset consists of 400,000 grayscale images in 16 classes, with 25,000 images per class. There are 320,000 training images, 40,000 validation images, and 40,000 test images. The image... | {
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"Hi @danshirron, \r\n`c4` was updated few days back by @lhoestq. The new configs are `['en', 'en.noclean', 'en.realnewslike', 'en.webtextlike'].` You'll need to remove any older version of this dataset you previously downloaded and then run `load_dataset` again with new configuration.",
"@bhavitvyamalik @lhoestq ... | 1,628,151,418,000 | 1,628,451,874,000 | 1,628,451,874,000 | NONE | null | ## Describe the bug
Error loading C4 realnewslike dataset. Validation part mismatch
## Steps to reproduce the bug
```python
raw_datasets = load_dataset('c4', 'realnewslike', cache_dir=model_args.cache_dir)
## Expected results
success on data loading
## Actual results
Downloading: 100%|███████████████████████... | {
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https://api.github.com/repos/huggingface/datasets/issues/2760 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2760/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2760/comments | https://api.github.com/repos/huggingface/datasets/issues/2760/events | https://github.com/huggingface/datasets/issues/2760 | 961,372,667 | MDU6SXNzdWU5NjEzNzI2Njc= | 2,760 | Add Nuswide dataset | {
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- **Name:** *NUSWIDE*
- **Description:** *[A Real-World Web Image Dataset from National University of Singapore](https://lms.comp.nus.edu.sg/wp-content/uploads/2019/research/nuswide/NUS-WIDE.html)*
- **Paper:** *[here](https://lms.comp.nus.edu.sg/wp-content/uploads/2019/research/nuswide/nuswide-c... | {
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https://api.github.com/repos/huggingface/datasets/issues/2759 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2759/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2759/comments | https://api.github.com/repos/huggingface/datasets/issues/2759/events | https://github.com/huggingface/datasets/issues/2759 | 960,636,572 | MDU6SXNzdWU5NjA2MzY1NzI= | 2,759 | the meteor metric seems not consist with the official version | {
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"the issue is caused by the differences between varied meteor versions:\r\nmeteor1.0 is for https://aclanthology.org/W07-0734.pdf\r\nmeteor1.5 is for https://aclanthology.org/W14-3348.pdf\r\n\r\nhere is a very similar issue in NLTK\r\nhttps://github.com/nltk/nltk/issues/2655",
"Hi @jianguda, thanks for reporting.... | 1,628,091,197,000 | 1,642,601,869,000 | null | NONE | null | ## Describe the bug
The computed meteor score seems strange because the value is very different from the scores computed by other tools. For example, I use the meteor score computed by [NLGeval](https://github.com/Maluuba/nlg-eval) as the reference (which reuses the official jar file for the computation)
## Steps t... | {
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The `ManualDownloadError` is raised whether the dataset is loaded in normal or streaming mode.
Close #2749.
cc: @severo | {
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"Hi @JulesBelveze, thanks for your question.\r\n\r\nNote that 🤗 `datasets` internally store their data in Apache Arrow format.\r\n\r\nHowever, when accessing dataset columns, by default they are returned as native Python objects (lists in this case).\r\n\r\nIf you would like their columns to be returned in a more... | 1,628,061,039,000 | 1,628,092,884,000 | 1,628,092,883,000 | NONE | null | ## Describe the bug
I am trying to concatenate two `Dataset` using `concatenate_datasets` but it turns out that after concatenation the features are casted from `torch.Tensor` to `list`.
It then leads to a weird tensors when trying to convert it to a `DataLoader`. However, if I use each `Dataset` separately everythi... | {
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- Remove leading new line character in description and citation
- Update metadata JSON
- Remove no longer necessary `urls_checksums/checksums.txt` file
Related to #2748. | {
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"@albertvillanova ",
"Hi @Aktsvigun, thanks for reporting.\r\n\r\nI'm investigating this.",
"Hi @albertvillanova ,\r\nany update on this? Can I probably help in some way?",
"Hi @Aktsvigun! We are planning to address this issue before our next release, in a couple of weeks at most. 😅 \r\n\r\nIn the meantime, ... | 1,627,987,624,000 | 1,642,602,223,000 | 1,642,601,945,000 | NONE | null | Hi,
I am need to concatenate my dataset with others several times, and after I concatenate it for the second time, the features of features (e.g. tags names) are collapsed. This hinders, for instance, the usage of tokenize function with `data.map`.
```
from datasets import load_dataset, concatenate_datasets
d... | {
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"Hi @severo, thanks for reporting.\r\n\r\nAs discussed, datasets requiring manual download should be:\r\n- programmatically identifiable\r\n- properly handled with more clear error message when trying to load them with streaming\r\n\r\nIn relation with programmatically identifiability, note that for datasets requir... | 1,627,986,387,000 | 1,628,499,215,000 | 1,628,076,990,000 | CONTRIBUTOR | null | ## Describe the bug
At least for 'reclor', 'telugu_books', 'turkish_movie_sentiment', 'ubuntu_dialogs_corpus', 'wikihow', trying to `load_dataset` in streaming mode raises a `TypeError` without any detail about why it fails.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = ... | {
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"Thank you for working on this, @bhavitvyamalik \r\n\r\n10% is not solving the issue, we want 5-10x faster on a machine that has lots of resources, but limited processing time.\r\n\r\nSo let's benchmark it on an instance with many more cores, I can test with 12 on my dev box and 40 on JZ. \r\n\r\nCould you please s... | 1,627,979,413,000 | 1,634,667,861,000 | 1,631,541,397,000 | CONTRIBUTOR | null | Closes #2663. I've tried adding multiprocessing in `to_json`. Here's some benchmarking I did to compare the timings of current version (say v1) and multi-proc version (say v2). I did this with `cpu_count` 4 (2015 Macbook Air)
1. Dataset name: `ascent_kb` - 8.9M samples (all samples were used, reporting this for a si... | {
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"Hi @Mehrad0711,\r\n\r\nI'm afraid there is no \"canonical\" Hugging Face dataset named \"few-nerd\".\r\n\r\nThere are 2 kinds of datasets hosted at the Hugging Face Hub:\r\n- canonical datasets (their identifier contains no slash \"/\"): we, the Hugging Face team, supervise their implementation and we make sure th... | 1,627,942,737,000 | 1,637,052,694,000 | 1,628,019,943,000 | NONE | null | ## Describe the bug
Cannot load `few-nerd` dataset.
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset('few-nerd', 'supervised')
```
## Actual results
Executing above code will give the following error:
```
Using the latest cached version of the module from /Users... | {
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"For training the multilabel classifier, I would combine the labels into a list, for example for the English dataset:\r\n\r\n```\r\ndfpre=pd.read_csv(path+\"2018-E-c-En-train.txt\",sep=\"\\t\")\r\ndfpre['list'] = dfpre[dfpre.columns[2:]].values.tolist()\r\ndf = dfpre[['Tweet', 'list']].copy()\r\ndf.rename(columns={... | 1,627,918,795,000 | 1,635,499,325,000 | 1,632,217,715,000 | CONTRIBUTOR | null | I added the data set of SemEval 2018 Task 1 (Subtask 5) for emotion detection in three languages.
```
datasets-cli test datasets/semeval18_emotion_classification/ --save_infos --all_configs
RUN_SLOW=1 pytest tests/test_dataset_common.py::LocalDatasetTest::test_load_real_dataset_semeval18_emotion_classification
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"As discussed, the metadata JSON files must be regenerated because the keys were nor properly generated and they will not be read by the builder:\r\n> Indeed there is some problem/bug while reading the datasets_info.json file: there is a mismatch with the config.name keys in the file...\r\nIn the meanwhile, in orde... | 1,627,909,286,000 | 1,627,985,217,000 | 1,627,982,733,000 | CONTRIBUTOR | null | ## Describe the bug
The JSON file generated for https://github.com/huggingface/datasets/blob/573f3d35081cee239d1b962878206e9abe6cde91/datasets/journalists_questions/journalists_questions.py is https://github.com/huggingface/datasets/blob/573f3d35081cee239d1b962878206e9abe6cde91/datasets/journalists_questions/dataset... | {
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"maybe we should rather attempt to download a `Range` from the server and see if it works?"
] | 1,627,908,909,000 | 1,636,737,490,000 | 1,636,737,490,000 | CONTRIBUTOR | null | **Is your feature request related to a problem? Please describe.**
```python
from datasets import load_dataset_builder
from datasets.utils.streaming_download_manager import StreamingDownloadManager
builder = load_dataset_builder("journalists_questions", name="plain_text")
builder._split_generators(StreamingDownl... | {
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"following_url"... | [] | 1,627,898,810,000 | 1,638,965,211,000 | null | MEMBER | null | ## Adding a Dataset
- **Name:** Hypersim
- **Description:** photorealistic synthetic dataset for holistic indoor scene understanding
- **Paper:** *link to the dataset paper if available*
- **Data:** https://github.com/apple/ml-hypersim
Instructions to add a new dataset can be found [here](https://github.com/hugg... | {
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"following_url"... | [] | 1,627,880,945,000 | 1,627,964,617,000 | 1,627,964,617,000 | MEMBER | null | Next `sacrebleu` release (v2.0.0) will remove `sacrebleu.DEFAULT_TOKENIZER`: https://github.com/mjpost/sacrebleu/pull/152/files#diff-2553a315bb1f7e68c9c1b00d56eaeb74f5205aeb3a189bc3e527b122c6078795L17-R15
This PR passes `tokenize` to `sacrebleu` only if explicitly passed by the user, otherwise it will not pass it (a... | {
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"Hi @ak3ra , have you had a chance to take my comments into account ?\r\n\r\nLet me know if you have questions or if I can help :)",
"@lhoestq Working on this, thanks for the detailed review :) ",
"Hi ! Cool thanks :)\r\nFeel free to merge master into your branch to fix the CI issues\r\n\r\nLet me know if you ... | 1,627,831,080,000 | 1,638,350,289,000 | null | NONE | null | Multi-way parallel text corpus of 5 key Ugandan languages for the task of machine translation. | {
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"Hi @devrimcavusoglu, \r\nI tried your code with latest version of `datasets`and `sacrebleu==1.5.1` and it's running fine after changing one small thing:\r\n```\r\nsacrebleu = datasets.load_metric('sacrebleu')\r\npredictions = [\"It is a guide to action which ensures that the military always obeys the commands of t... | 1,627,689,188,000 | 1,632,307,661,000 | 1,627,964,617,000 | NONE | null | With the latest release of [sacrebleu](https://github.com/mjpost/sacrebleu), `datasets.metrics.sacrebleu` is broken, and getting error.
AttributeError: module 'sacrebleu' has no attribute 'DEFAULT_TOKENIZER'
this happens since in new version of sacrebleu there is no `DEFAULT_TOKENIZER`, but sacrebleu.py tries... | {
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https://api.github.com/repos/huggingface/datasets/issues/2736 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2736/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2736/comments | https://api.github.com/repos/huggingface/datasets/issues/2736/events | https://github.com/huggingface/datasets/issues/2736 | 956,895,199 | MDU6SXNzdWU5NTY4OTUxOTk= | 2,736 | Add Microsoft Building Footprints dataset | {
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"Motivation: this can be a useful dataset for researchers working on climate change adaptation, urban studies, geography, etc. I'll see if I can figure out how to add it!"
] | 1,627,661,828,000 | 1,638,965,343,000 | null | MEMBER | null | ## Adding a Dataset
- **Name:** Microsoft Building Footprints
- **Description:** With the goal to increase the coverage of building footprint data available as open data for OpenStreetMap and humanitarian efforts, we have released millions of building footprints as open data available to download free of charge.
- *... | {
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"following_url"... | [] | 1,627,661,319,000 | 1,627,707,685,000 | null | MEMBER | null | ## Adding a Dataset
- **Name:** Open Buildings
- **Description:** A dataset of building footprints to support social good applications.
Building footprints are useful for a range of important applications, from population estimation, urban planning and humanitarian response, to environmental and climate science.... | {
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"following_url"... | [] | 1,627,650,080,000 | 1,627,651,471,000 | 1,627,651,470,000 | MEMBER | null | This code was failing because the parquet extension wasn't recognized:
```python
from datasets import load_dataset
base_url = "https://storage.googleapis.com/huggingface-nlp/cache/datasets/wikipedia/20200501.en/1.0.0/"
data_files = {"train": base_url + "wikipedia-train.parquet"}
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"@lhoestq, lütfen bu PR'ı gözden geçirebilir misiniz?",
"> Thanks ! This looks all good now :)\r\n\r\nThanks"
] | 1,627,645,934,000 | 1,627,660,851,000 | 1,627,660,694,000 | CONTRIBUTOR | null | - The source address of the TTC4900 dataset of [@savasy](https://github.com/savasy) has been updated for direct download.
- Updated readme. | {
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"This seems to be working reasonably well in testing, and performance is way better. `tf.py_function` has been dropped for an input generator, but I moved as much of the code as possible outside the generator to allow TF to compile it correctly. I also avoid `tf.RaggedTensor` at all costs, and do the shuffle in the... | 1,627,582,225,000 | 1,631,800,254,000 | 1,631,800,254,000 | MEMBER | null | Oh my **god** do not merge this yet, it's just a draft.
I've added a method (via a mixin) to the `arrow_dataset.Dataset` class that automatically converts our Dataset classes to TF Dataset classes ready for training. It hopefully has most of the features we want, including streaming from disk (no need to load the wh... | {
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https://api.github.com/repos/huggingface/datasets/issues/2730 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2730/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2730/comments | https://api.github.com/repos/huggingface/datasets/issues/2730/events | https://github.com/huggingface/datasets/issues/2730 | 955,987,834 | MDU6SXNzdWU5NTU5ODc4MzQ= | 2,730 | Update CommonVoice with new release | {
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"cc @patrickvonplaten?",
"Does anybody know if there is a bundled link, which would allow direct data download instead of manual? \r\nSomething similar to: `https://voice-prod-bundler-ee1969a6ce8178826482b88e843c335139bd3fb4.s3.amazonaws.com/cv-corpus-6.1-2020-12-11/ab.tar.gz` ? cc @patil-suraj \r\n",
"Also see... | 1,627,574,399,000 | 1,628,353,159,000 | null | MEMBER | null | ## Adding a Dataset
- **Name:** CommonVoice mid-2021 release
- **Description:** more data in CommonVoice: Languages that have increased the most by percentage are Thai (almost 20x growth, from 12 hours to 250 hours), Luganda (almost 9x growth, from 8 to 80), Esperanto (7x growth, from 100 to 840), and Tamil (almost 8... | {
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Close #2727. | {
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"Launching simultaneous job relying on the same datasets try some writing issue. I guess it is unexpected since I only need to load some already downloaded file.",
"If i have two jobs that use the same dataset. I got :\r\n\r\n\r\n File \"compute_measures.py\", line 181, in <module>\r\n train_loader, val_loade... | 1,627,568,318,000 | 1,627,889,157,000 | null | CONTRIBUTOR | null | ## Describe the bug
When launching several jobs at the same time loading the same dataset trigger some errors see (last comments).
## Steps to reproduce the bug
export HF_DATASETS_CACHE=/gpfswork/rech/toto/datasets
for MODEL in "bert-base-uncased" "roberta-base" "distilbert-base-cased"; do # "bert-base-uncased" ... | {
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"I modified the dataset loading script to catch the `IndexError` and inspect the records at which the error is happening, and I found this:\r\nFor the `Techreen` config, the error happens in 36 records when trying to find the `Text` or `Dateline` tags. All these 36 records look something like:\r\n```\r\n<Techreen>\... | 1,627,563,189,000 | 1,627,650,235,000 | 1,627,650,235,000 | CONTRIBUTOR | null | ## Describe the bug
I get `IndexError: list index out of range` when trying to load the `Techreen` and `Almustaqbal` configs of the dataset.
## Steps to reproduce the bug
```python
load_dataset("arabic_billion_words", "Techreen")
load_dataset("arabic_billion_words", "Almustaqbal")
```
## Expected results
Th... | {
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https://api.github.com/repos/huggingface/datasets/issues/2726 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2726/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2726/comments | https://api.github.com/repos/huggingface/datasets/issues/2726/events | https://github.com/huggingface/datasets/pull/2726 | 955,674,388 | MDExOlB1bGxSZXF1ZXN0Njk5Mzg5MDk1 | 2,726 | Typo fix `tokenize_exemple` | {
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https://api.github.com/repos/huggingface/datasets/issues/2725 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2725/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2725/comments | https://api.github.com/repos/huggingface/datasets/issues/2725/events | https://github.com/huggingface/datasets/pull/2725 | 955,020,776 | MDExOlB1bGxSZXF1ZXN0Njk4ODMwNjYw | 2,725 | Pass use_auth_token to request_etags | {
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https://api.github.com/repos/huggingface/datasets/issues/2724 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2724/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2724/comments | https://api.github.com/repos/huggingface/datasets/issues/2724/events | https://github.com/huggingface/datasets/issues/2724 | 954,919,607 | MDU6SXNzdWU5NTQ5MTk2MDc= | 2,724 | 404 Error when loading remote data files from private repo | {
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"I guess the issue is when computing the ETags of the remote files. Indeed `use_auth_token` must be passed to `request_etags` here:\r\n\r\nhttps://github.com/huggingface/datasets/blob/35b5e4bc0cb2ed896e40f3eb2a4aa3de1cb1a6c5/src/datasets/builder.py#L160-L160",
"Yes, I remember having properly implemented that: \r... | 1,627,482,263,000 | 1,627,534,729,000 | 1,627,490,281,000 | MEMBER | null | ## Describe the bug
When loading remote data files from a private repo, a 404 error is raised.
## Steps to reproduce the bug
```python
url = hf_hub_url("lewtun/asr-preds-test", "preds.jsonl", repo_type="dataset")
dset = load_dataset("json", data_files=url, use_auth_token=True)
# HTTPError: 404 Client Error: Not... | {
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https://api.github.com/repos/huggingface/datasets/issues/2723 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2723/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2723/comments | https://api.github.com/repos/huggingface/datasets/issues/2723/events | https://github.com/huggingface/datasets/pull/2723 | 954,864,104 | MDExOlB1bGxSZXF1ZXN0Njk4Njk0NDMw | 2,723 | Fix en subset by modifying dataset_info with correct validation infos | {
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"following_url"... | [] | 1,627,479,379,000 | 1,627,485,743,000 | 1,627,485,743,000 | MEMBER | null | - Related to: #2682
We correct the values of `en` subset concerning the expected validation values (both `num_bytes` and `num_examples`.
Instead of having:
`{"name": "validation", "num_bytes": 828589180707, "num_examples": 364868892, "dataset_name": "c4"}`
We replace with correct values:
`{"name": "vali... | {
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https://api.github.com/repos/huggingface/datasets/issues/2722 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2722/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2722/comments | https://api.github.com/repos/huggingface/datasets/issues/2722/events | https://github.com/huggingface/datasets/issues/2722 | 954,446,053 | MDU6SXNzdWU5NTQ0NDYwNTM= | 2,722 | Missing cache file | {
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"This could be solved by going to the glue/ directory and delete sst2 directory, then load the dataset again will help you redownload the dataset.",
"Hi ! Not sure why this file was missing, but yes the way to fix this is to delete the sst2 directory and to reload the dataset"
] | 1,627,444,327,000 | 1,647,851,271,000 | 1,647,851,271,000 | NONE | null | Strangely missing cache file after I restart my program again.
`glue_dataset = datasets.load_dataset('glue', 'sst2')`
`FileNotFoundError: [Errno 2] No such file or directory: /Users/chris/.cache/huggingface/datasets/glue/sst2/1.0.0/dacbe3125aa31d7f70367a07a8a9e72a5a0bfeb5fc42e75c9db75b96d6053ad/dataset_info.json... | {
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https://api.github.com/repos/huggingface/datasets/issues/2721 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2721/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2721/comments | https://api.github.com/repos/huggingface/datasets/issues/2721/events | https://github.com/huggingface/datasets/pull/2721 | 954,238,230 | MDExOlB1bGxSZXF1ZXN0Njk4MTY0Njg3 | 2,721 | Deal with the bad check in test_load.py | {
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"Hi ! I did a change for this test already in #2662 :\r\n\r\nhttps://github.com/huggingface/datasets/blob/00686c46b7aaf6bfcd4102cec300a3c031284a5a/tests/test_load.py#L312-L316\r\n\r\n(though I have to change the variable name `m_combined_path` to `m_url` or something)\r\n\r\nI guess it's ok to remove this check for... | 1,627,417,403,000 | 1,627,466,314,000 | 1,627,462,398,000 | CONTRIBUTOR | null | This PR removes a check that's been added in #2684. My intention with this check was to capture an URL in the error message, but instead, it captures a substring of the previous regex match in the test function. Another option would be to replace this check with:
```python
m_paths = re.findall(r"\S*_dummy/_dummy.py\b... | {
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