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https://api.github.com/repos/huggingface/datasets/issues/5335 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5335/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5335/comments | https://api.github.com/repos/huggingface/datasets/issues/5335/events | https://github.com/huggingface/datasets/pull/5335 | 1,478,890,788 | PR_kwDODunzps5EeHdA | 5,335 | Update tasks.json | [] | closed | false | null | 11 | 2022-12-06T11:37:57Z | 2022-12-08T11:05:33Z | 2022-12-07T12:46:03Z | null | Context:
* https://github.com/huggingface/datasets/issues/5255#issuecomment-1339107195
Cc: @osanseviero | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"I think the only place where we need to add it is here https://github.com/huggingface/hub-docs/blob/main/js/src/lib/interfaces/Types.ts\r\n\r\nAnd I think we can remove tasks.json completely from this repo",
"Isn't tasks.json used ... |
https://api.github.com/repos/huggingface/datasets/issues/2889 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2889/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2889/comments | https://api.github.com/repos/huggingface/datasets/issues/2889/events | https://github.com/huggingface/datasets/issues/2889 | 992,968,382 | MDU6SXNzdWU5OTI5NjgzODI= | 2,889 | Coc | [
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] | closed | false | null | 0 | 2021-09-10T07:32:07Z | 2021-09-10T11:45:54Z | 2021-09-10T11:45:54Z | null | ## Adding a Dataset
- **Name:** *name of the dataset*
- **Description:** *short description of the dataset (or link to social media or blog post)*
- **Paper:** *link to the dataset paper if available*
- **Data:** *link to the Github repository or current dataset location*
- **Motivation:** *what are some good reasons to have this dataset*
Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md). | {
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https://api.github.com/repos/huggingface/datasets/issues/5511 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5511/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5511/comments | https://api.github.com/repos/huggingface/datasets/issues/5511/events | https://github.com/huggingface/datasets/issues/5511 | 1,575,851,768 | I_kwDODunzps5d7Zb4 | 5,511 | Creating a dummy dataset from a bigger one | [] | closed | false | null | 6 | 2023-02-08T10:18:41Z | 2023-05-19T12:58:00Z | 2023-02-08T10:35:48Z | null | ### Describe the bug
I often want to create a dummy dataset from a bigger dataset for fast iteration when training. However, I'm having a hard time doing this especially when trying to upload the dataset to the Hub.
### Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("lambdalabs/pokemon-blip-captions")
dataset["train"] = dataset["train"].select(range(20))
dataset.push_to_hub("patrickvonplaten/dummy_image_data")
```
gives:
```
~/python_bin/datasets/arrow_dataset.py in _push_parquet_shards_to_hub(self, repo_id, split, private, token, branch, max_shard_size, embed_external_files)
4003 base_wait_time=2.0,
4004 max_retries=5,
-> 4005 max_wait_time=20.0,
4006 )
4007 return repo_id, split, uploaded_size, dataset_nbytes
~/python_bin/datasets/utils/file_utils.py in _retry(func, func_args, func_kwargs, exceptions, status_codes, max_retries, base_wait_time, max_wait_time)
328 while True:
329 try:
--> 330 return func(*func_args, **func_kwargs)
331 except exceptions as err:
332 if retry >= max_retries or (status_codes and err.response.status_code not in status_codes):
~/hf/lib/python3.7/site-packages/huggingface_hub/utils/_validators.py in _inner_fn(*args, **kwargs)
122 )
123
--> 124 return fn(*args, **kwargs)
125
126 return _inner_fn # type: ignore
TypeError: upload_file() got an unexpected keyword argument 'identical_ok'
In [2]:
```
### Expected behavior
I would have expected this to work. It's for me the most intuitive way of creating a dummy dataset.
### Environment info
```
- `datasets` version: 2.1.1.dev0
- Platform: Linux-4.19.0-22-cloud-amd64-x86_64-with-debian-10.13
- Python version: 3.7.3
- PyArrow version: 11.0.0
- Pandas version: 1.3.5
``` | {
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"Update `datasets` or downgrade `huggingface-hub` ;)\r\n\r\nThe `huggingface-hub` lib did a breaking change a few months ago, and you're using an old version of `datasets` that does't support it",
"Awesome thanks a lot! Everything works just fine with `datasets==2.9.0` :-) ",
"Getting same error with latest ver... |
https://api.github.com/repos/huggingface/datasets/issues/3014 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3014/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3014/comments | https://api.github.com/repos/huggingface/datasets/issues/3014/events | https://github.com/huggingface/datasets/pull/3014 | 1,015,070,751 | PR_kwDODunzps4son8A | 3,014 | Fix Windows path in MATH dataset | [] | closed | false | null | 0 | 2021-10-04T11:41:07Z | 2021-10-04T12:46:44Z | 2021-10-04T12:46:44Z | null | Minor fix in MATH dataset for Windows pathname component separator.
Related to #2982. | {
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https://api.github.com/repos/huggingface/datasets/issues/1396 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1396/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1396/comments | https://api.github.com/repos/huggingface/datasets/issues/1396/events | https://github.com/huggingface/datasets/pull/1396 | 760,455,295 | MDExOlB1bGxSZXF1ZXN0NTM1MjgzOTAw | 1,396 | initial commit for MultiReQA for second PR | [] | closed | false | null | 2 | 2020-12-09T16:00:35Z | 2020-12-10T18:20:12Z | 2020-12-10T18:20:11Z | null | Since last PR #1349 had some issues passing the tests. So, a new PR is generated. | {
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"Subsequent [PR #1426 ](https://github.com/huggingface/datasets/pull/1426) since this PR has uploaded other files along with the MultiReQA dataset.",
"closing this one since a new PR has been created"
] |
https://api.github.com/repos/huggingface/datasets/issues/2772 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2772/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2772/comments | https://api.github.com/repos/huggingface/datasets/issues/2772/events | https://github.com/huggingface/datasets/issues/2772 | 963,348,834 | MDU6SXNzdWU5NjMzNDg4MzQ= | 2,772 | Remove returned feature constrain | [
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] | open | false | null | 0 | 2021-08-08T04:01:30Z | 2021-08-08T08:48:01Z | null | 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 useful words like verb words.
Mostly, when using it on large scale, saving it as a whole takes a lot of disk storage and making it hard to read, the normal method is saving it in sparse form. However, the NumPy does not support sparse, therefore I have to use PyTorch or scipy to transform a matrix into special sparse form, which is not a form that can be transformed into list or ndarry. This violates the feature constraints of the map function.
I do appreciate the convenience of Datasets package, but I do not think the compulsory datatype constrain is necessary, in some cases, we just cannot transform it into a list or ndarray due to some reasons. Any way to fix this? Or what I can do to disable the compulsory datatype constrain?
| {
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https://api.github.com/repos/huggingface/datasets/issues/3812 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3812/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3812/comments | https://api.github.com/repos/huggingface/datasets/issues/3812/events | https://github.com/huggingface/datasets/pull/3812 | 1,158,369,995 | PR_kwDODunzps4z46C4 | 3,812 | benchmark streaming speed with tar vs zip archives | [] | closed | false | null | 1 | 2022-03-03T12:48:41Z | 2022-03-03T14:55:34Z | 2022-03-03T14:55:33Z | null | # do not merge
## Hypothesis
packing data into a single zip archive could allow us not to care about splitting data into several tar archives for efficient streaming which is annoying (since data creators usually host the data in a single tar)
## Data
I host it [here](https://huggingface.co/datasets/polinaeterna/benchmark_dataset/)
## I checked three configurations:
1. All data in one zip archive, streaming only those files that exist in split metadata file (we can access them directrly with no need to iterate over full archive), see [this func](https://github.com/huggingface/datasets/compare/master...polinaeterna:benchmark-tar-zip?expand=1#diff-4f5200d4586aec5b2a89fcf34441c5f92156f9e9d408acc7e50666f9a1921ddcR196)
2. All data in three splits, the standart way to make streaming efficient, see [this func](https://github.com/huggingface/datasets/compare/master...polinaeterna:benchmark-tar-zip?expand=1#diff-4f5200d4586aec5b2a89fcf34441c5f92156f9e9d408acc7e50666f9a1921ddcR174)
3. All data in single tar, iterate over the full archive and take only files existing in split metadata file, see [this func](https://github.com/huggingface/datasets/compare/master...polinaeterna:benchmark-tar-zip?expand=1#diff-4f5200d4586aec5b2a89fcf34441c5f92156f9e9d408acc7e50666f9a1921ddcR150)
## Results
1. one zip
2. three tars
3. one tar
didn't check on the full data as it's time consuming but anyway it's pretty obvious that one-zip-way is not a good idea. here it's even worse than full iteration over tar containing all three splits (but that would depend on the case).
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"I'm closing the PR since we're not going to merge it"
] |
https://api.github.com/repos/huggingface/datasets/issues/2378 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2378/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2378/comments | https://api.github.com/repos/huggingface/datasets/issues/2378/events | https://github.com/huggingface/datasets/issues/2378 | 895,131,774 | MDU6SXNzdWU4OTUxMzE3NzQ= | 2,378 | Add missing dataset_infos.json files | [
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] | open | false | null | 0 | 2021-05-19T08:11:12Z | 2021-05-19T08:11:12Z | null | null | Some of the datasets in `datasets` are missing a `dataset_infos.json` file, e.g.
```
[PosixPath('datasets/chr_en/chr_en.py'), PosixPath('datasets/chr_en/README.md')]
[PosixPath('datasets/telugu_books/README.md'), PosixPath('datasets/telugu_books/telugu_books.py')]
[PosixPath('datasets/reclor/README.md'), PosixPath('datasets/reclor/reclor.py')]
[PosixPath('datasets/json/README.md')]
[PosixPath('datasets/csv/README.md')]
[PosixPath('datasets/wikihow/wikihow.py'), PosixPath('datasets/wikihow/README.md')]
[PosixPath('datasets/c4/c4.py'), PosixPath('datasets/c4/README.md')]
[PosixPath('datasets/text/README.md')]
[PosixPath('datasets/lm1b/README.md'), PosixPath('datasets/lm1b/lm1b.py')]
[PosixPath('datasets/pandas/README.md')]
```
For `json`, `text`, csv`, and `pandas` this is expected, but not for the others which should be fixed
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https://api.github.com/repos/huggingface/datasets/issues/1410 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1410/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1410/comments | https://api.github.com/repos/huggingface/datasets/issues/1410/events | https://github.com/huggingface/datasets/pull/1410 | 760,597,092 | MDExOlB1bGxSZXF1ZXN0NTM1NDAyNjcw | 1,410 | Add penn treebank dataset | [] | closed | false | null | 2 | 2020-12-09T19:11:33Z | 2020-12-16T09:38:23Z | 2020-12-16T09:38:23Z | null | {
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"@yjernite I have updated the PR to be language modeling task specific. Please review!\r\n",
"Yes a line corresponds to a sentence in this data."
] | |
https://api.github.com/repos/huggingface/datasets/issues/3091 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3091/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3091/comments | https://api.github.com/repos/huggingface/datasets/issues/3091/events | https://github.com/huggingface/datasets/issues/3091 | 1,027,251,530 | I_kwDODunzps49Op1K | 3,091 | `blog_authorship_corpus` is broken | [
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] | closed | false | null | 3 | 2021-10-15T09:20:40Z | 2021-10-19T13:06:10Z | 2021-10-19T12:50:39Z | null | ## Describe the bug
The dataset `blog_authorship_corpus` is broken.
By bypassing the checksum checks, the loading does not return any error but the resulting dataset is empty.
I suspect it is because the data download url is broken (http://www.cs.biu.ac.il/~koppel/blogs/blogs.zip).
## Steps to reproduce the bug
```python
from datasets import load_dataset
ds = load_dataset("blog_authorship_corpus", split="train", download_mode='force_redownload')
```
## Expected results
No error.
## Actual results
```
---------------------------------------------------------------------------
NonMatchingChecksumError Traceback (most recent call last)
/tmp/ipykernel_5237/1729238701.py in <module>
2 ds = load_dataset(
3 "blog_authorship_corpus", split="train",
----> 4 download_mode='force_redownload'
5 )
/opt/conda/lib/python3.7/site-packages/datasets/load.py in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, ignore_verifications, keep_in_memory, save_infos, script_version, use_auth_token, task, streaming, **config_kwargs)
1115 ignore_verifications=ignore_verifications,
1116 try_from_hf_gcs=try_from_hf_gcs,
-> 1117 use_auth_token=use_auth_token,
1118 )
1119
/opt/conda/lib/python3.7/site-packages/datasets/builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, try_from_hf_gcs, dl_manager, base_path, use_auth_token, **download_and_prepare_kwargs)
635 if not downloaded_from_gcs:
636 self._download_and_prepare(
--> 637 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
638 )
639 # Sync info
/opt/conda/lib/python3.7/site-packages/datasets/builder.py in _download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)
707 if verify_infos:
708 verify_checksums(
--> 709 self.info.download_checksums, dl_manager.get_recorded_sizes_checksums(), "dataset source files"
710 )
711
/opt/conda/lib/python3.7/site-packages/datasets/utils/info_utils.py in verify_checksums(expected_checksums, recorded_checksums, verification_name)
38 if len(bad_urls) > 0:
39 error_msg = "Checksums didn't match" + for_verification_name + ":\n"
---> 40 raise NonMatchingChecksumError(error_msg + str(bad_urls))
41 logger.info("All the checksums matched successfully" + for_verification_name)
42
NonMatchingChecksumError: Checksums didn't match for dataset source files:
['http://www.cs.biu.ac.il/~koppel/blogs/blogs.zip']
```
## Environment info
- `datasets` version: 1.13.2
- Platform: Linux-4.19.0-18-cloud-amd64-x86_64-with-debian-10.11
- Python version: 3.7.10
- PyArrow version: 5.0.0 | {
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"Hi @fdtomasi, thanks for reporting.\r\n\r\nYou are right: the original host data URL does no longer exist.\r\n\r\nI've contacted the authors of the dataset to ask them if they host this dataset in another URL.",
"Hi, @fdtomasi, the URL is fixed.\r\n\r\nThe fix is already in our master branch and it will be acces... |
https://api.github.com/repos/huggingface/datasets/issues/4418 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4418/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4418/comments | https://api.github.com/repos/huggingface/datasets/issues/4418/events | https://github.com/huggingface/datasets/pull/4418 | 1,252,506,268 | PR_kwDODunzps44q9pG | 4,418 | Add dataset MMChat | [] | closed | false | null | 0 | 2022-05-30T10:10:40Z | 2022-05-30T14:58:18Z | 2022-05-30T14:58:18Z | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/2747 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2747/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2747/comments | https://api.github.com/repos/huggingface/datasets/issues/2747/events | https://github.com/huggingface/datasets/pull/2747 | 958,867,627 | MDExOlB1bGxSZXF1ZXN0NzAyMDcwOTgy | 2,747 | add multi-proc in `to_json` | [] | closed | false | null | 17 | 2021-08-03T08:30:13Z | 2021-10-19T18:24:21Z | 2021-09-13T13:56:37Z | 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 single run)
v1- ~225 seconds for converting whole dataset to json
v2- ~200 seconds for converting whole dataset to json
2. Dataset name: `lama` - 1.3M samples (all samples were used, reporting this for 2 runs)
v1- ~26 seconds for converting whole dataset to json
v2- ~23.6 seconds for converting whole dataset to json
I think it's safe to say that v2 is 10% faster as compared to v1. Timings may improve further with better configuration.
The only bottleneck I feel is writing to file from the output list. If we can improve that aspect then timings may improve further.
Let me know if any changes/improvements can be done in this @stas00, @lhoestq, @albertvillanova. @lhoestq even suggested to extend this work with other export methods as well like `csv` or `parquet`. | {
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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... |
https://api.github.com/repos/huggingface/datasets/issues/54 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/54/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/54/comments | https://api.github.com/repos/huggingface/datasets/issues/54/events | https://github.com/huggingface/datasets/pull/54 | 613,513,348 | MDExOlB1bGxSZXF1ZXN0NDE0MjUyODkw | 54 | [Tests] Improved Error message for dummy folder structure | [] | closed | false | null | 0 | 2020-05-06T18:11:48Z | 2020-05-06T18:13:00Z | 2020-05-06T18:12:59Z | null | Improved Error message | {
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https://api.github.com/repos/huggingface/datasets/issues/4011 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4011/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4011/comments | https://api.github.com/repos/huggingface/datasets/issues/4011/events | https://github.com/huggingface/datasets/pull/4011 | 1,179,885,965 | PR_kwDODunzps40-Ho0 | 4,011 | Fix SQuAD v2 metric docs on `references` format | [
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] | closed | false | null | 2 | 2022-03-24T18:27:10Z | 2023-07-11T09:35:46Z | 2023-07-11T09:35:15Z | null | `references` it's not a list of dictionaries but a dictionary that has a list in its values. | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Metrics are deprecated in `datasets` and `evaluate` should be used instead: https://github.com/huggingface/evaluate"
] |
https://api.github.com/repos/huggingface/datasets/issues/2816 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2816/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2816/comments | https://api.github.com/repos/huggingface/datasets/issues/2816/events | https://github.com/huggingface/datasets/issues/2816 | 974,031,404 | MDU6SXNzdWU5NzQwMzE0MDQ= | 2,816 | Add Mostly Basic Python Problems Dataset | [
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] | open | false | null | 1 | 2021-08-18T20:28:39Z | 2021-09-10T08:04:20Z | null | 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 consists of a task description, code solution and 3 automated test cases.
- **Paper:** *link to the dataset paper if available*
- **Data:** https://github.com/google-research/google-research/tree/master/mbpp
- **Motivation:** Simple, small dataset related to coding problems.
Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).
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"I started working on that."
] |
https://api.github.com/repos/huggingface/datasets/issues/5941 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5941/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5941/comments | https://api.github.com/repos/huggingface/datasets/issues/5941/events | https://github.com/huggingface/datasets/issues/5941 | 1,751,838,897 | I_kwDODunzps5oavCx | 5,941 | Load Data Sets Too Slow In Train Seq2seq Model | [] | open | false | null | 9 | 2023-06-12T03:58:43Z | 2023-07-26T07:49:35Z | null | null | ### Describe the bug
step 'Generating train split' in load_dataset is too slow：
### Steps to reproduce the bug
Data： own data，16K16B Mono wav
Oficial Script:[ run_speech_recognition_seq2seq.py](https://github.com/huggingface/transformers/blob/main/examples/pytorch/speech-recognition/run_speech_recognition_seq2seq.py)
Add Code：
if data_args.data_path is not None:
print(data_args.data_path)
raw_datasets = load_dataset("audiofolder", data_dir=data_args.data_path, cache_dir=model_args.cache_dir)
raw_datasets = raw_datasets.cast_column("audio", Audio(sampling_rate=16000))
raw_datasets = raw_datasets["train"].train_test_split(test_size=0.005, shuffle=True)
（change cache_dir to other path ，ex:/DATA/cache）
### Expected behavior
load data fast,at least 1000+
`Generating train split: 387875 examples [32:24:45, 1154.83 examples/s]`
### Environment info
- `transformers` version: 4.28.0.dev0
- Platform: Linux-5.4.0-149-generic-x86_64-with-debian-bullseye-sid
- Python version: 3.7.16
- Huggingface_hub version: 0.13.2
- PyTorch version (GPU?): 1.13.1+cu116 (True)
- Tensorflow version (GPU?): not installed (NA)
- Flax version (CPU?/GPU?/TPU?): not installed (NA)
- Jax version: not installed
- JaxLib version: not installed
- Using GPU in script?: <fill in>
- Using distributed or parallel set-up in script?: <fill in> | {
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"Hi ! you can speed it up using multiprocessing by passing `num_proc=` to `load_dataset()`",
"already did，but not useful for step Generating train split，it works in step \"Resolving data files\" & \"Downloading data files\" ",
"@mariosasko some advice ， thanks！",
"I met the same problem, terrible experience... |
https://api.github.com/repos/huggingface/datasets/issues/809 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/809/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/809/comments | https://api.github.com/repos/huggingface/datasets/issues/809/events | https://github.com/huggingface/datasets/issues/809 | 737,832,701 | MDU6SXNzdWU3Mzc4MzI3MDE= | 809 | Add Google Taskmaster dataset | [
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] | closed | false | null | 2 | 2020-11-06T15:10:41Z | 2021-04-20T13:09:26Z | 2021-04-20T13:09:26Z | null | ## Adding a Dataset
- **Name:** Taskmaster
- **Description:** A large dataset of task-oriented dialogue with annotated goals (55K dialogues covering entertainment and travel reservations)
- **Paper:** https://arxiv.org/abs/1909.05358
- **Data:** https://github.com/google-research-datasets/Taskmaster
- **Motivation:** One of few annotated datasets of this size for goal-oriented dialogue
Instructions to add a new dataset can be found [here](https://huggingface.co/docs/datasets/share_dataset.html).
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"Hey @yjernite. Was going to start working on this but found taskmaster 1,2 & 3 in the datasets library already so think this can be closed now?",
"You are absolutely right :) \r\n\r\nClosed by https://github.com/huggingface/datasets/pull/1193 https://github.com/huggingface/datasets/pull/1197 https://github.com/h... |
https://api.github.com/repos/huggingface/datasets/issues/65 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/65/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/65/comments | https://api.github.com/repos/huggingface/datasets/issues/65/events | https://github.com/huggingface/datasets/pull/65 | 614,746,516 | MDExOlB1bGxSZXF1ZXN0NDE1MjM4MDEw | 65 | fix math dataset and xcopa | [] | closed | false | null | 0 | 2020-05-08T13:33:55Z | 2020-05-08T13:35:41Z | 2020-05-08T13:35:40Z | null | - fixes math dataset and xcopa, uploaded both of the to S3 | {
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https://api.github.com/repos/huggingface/datasets/issues/4778 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4778/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4778/comments | https://api.github.com/repos/huggingface/datasets/issues/4778/events | https://github.com/huggingface/datasets/pull/4778 | 1,324,928,750 | PR_kwDODunzps48dRPh | 4,778 | Update local loading script docs | [
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] | closed | false | null | 5 | 2022-08-01T20:21:07Z | 2022-08-23T16:32:26Z | 2022-08-23T16:32:22Z | null | This PR clarifies the local loading script section to include how to load a dataset after you've modified the local loading script (closes #4732). | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_4778). All of your documentation changes will be reflected on that endpoint.",
"I would rather have a section in the docs that explains how to modify the script of an existing dataset (`inspect_dataset` + modification + `load_d... |
https://api.github.com/repos/huggingface/datasets/issues/4360 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4360/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4360/comments | https://api.github.com/repos/huggingface/datasets/issues/4360/events | https://github.com/huggingface/datasets/pull/4360 | 1,237,239,096 | PR_kwDODunzps434izs | 4,360 | Fix example in opus_ubuntu, Add license info | [] | closed | false | null | 2 | 2022-05-16T14:22:28Z | 2022-06-01T13:06:07Z | 2022-06-01T12:57:09Z | null | This PR
* fixes a typo in the example for the`opus_ubuntu` dataset where it's mistakenly referred to as `ubuntu`
* adds the declared license info for this corpus' origin
* adds an example instance
* updates the data origin type | {
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"CI seems to fail due to languages incorrectly being flagged as invalid, I guess that's related to the currently-broken bcp47 validation (see #4304)",
"_The documentation is not available anymore as the PR was closed or merged._"
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https://api.github.com/repos/huggingface/datasets/issues/5054 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5054/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5054/comments | https://api.github.com/repos/huggingface/datasets/issues/5054/events | https://github.com/huggingface/datasets/pull/5054 | 1,394,152,728 | PR_kwDODunzps5ABnd3 | 5,054 | Fix license/citation information of squadshifts dataset card | [
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- https://github.com/modestyachts/squadshifts-website/issues/1
Additionally, we have updated the mention in their website to our `datasets` library (they were referring old name `nlp`):
- https://github.com/modestyachts/squadshifts-website/pull/2#event-7500953009 | {
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https://api.github.com/repos/huggingface/datasets/issues/1880 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1880/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1880/comments | https://api.github.com/repos/huggingface/datasets/issues/1880/events | https://github.com/huggingface/datasets/pull/1880 | 808,563,439 | MDExOlB1bGxSZXF1ZXN0NTczNTgzNjg0 | 1,880 | Update multi_woz_v22 checksums | [] | closed | false | null | 0 | 2021-02-15T14:00:18Z | 2021-02-15T14:18:19Z | 2021-02-15T14:18:18Z | null | As noticed in #1876 the checksums of this dataset are outdated.
I updated them in this PR | {
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https://api.github.com/repos/huggingface/datasets/issues/3092 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3092/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3092/comments | https://api.github.com/repos/huggingface/datasets/issues/3092/events | https://github.com/huggingface/datasets/pull/3092 | 1,027,260,383 | PR_kwDODunzps4tPj6e | 3,092 | Fix JNLBA dataset | [] | closed | false | null | 2 | 2021-10-15T09:31:14Z | 2022-07-10T14:36:49Z | 2021-10-22T08:23:57Z | null | As mentioned in #3089, I've added more tags and also updated the link for dataset which was earlier using a Google Drive link.
I'm having problem with generating dummy data as `datasets-cli dummy_data ./datasets/jnlpba --auto_generate --match_text_files "*.iob2"` is giving `datasets.keyhash.DuplicatedKeysError: FAILURE TO GENERATE DATASET !
` error. I'll try to add dummy data manually. | {
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"Fix #3089.",
"@albertvillanova all tests are passing now. Either you or @lhoestq can review it!"
] |
https://api.github.com/repos/huggingface/datasets/issues/2869 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2869/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2869/comments | https://api.github.com/repos/huggingface/datasets/issues/2869/events | https://github.com/huggingface/datasets/issues/2869 | 987,676,420 | MDU6SXNzdWU5ODc2NzY0MjA= | 2,869 | TypeError: 'NoneType' object is not callable | [
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] | closed | false | null | 8 | 2021-09-03T11:27:39Z | 2022-03-30T05:30:38Z | 2021-09-08T09:24:55Z | null | ## Describe the bug
TypeError: 'NoneType' object is not callable
## Steps to reproduce the bug
```python
from datasets import load_dataset, load_metric
dataset = datasets.load_dataset("glue", 'cola')
```
## Expected results
A clear and concise description of the expected results.
## Actual results
Specify the actual results or traceback.
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.11.0
- Platform:
- Python version: 3.7
- PyArrow version:
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} | https://api.github.com/repos/huggingface/datasets/issues/2869/timeline | null | completed | null | null | false | [
"Hi, @Chenfei-Kang.\r\n\r\nI'm sorry, but I'm not able to reproduce your bug:\r\n```python\r\nfrom datasets import load_dataset\r\n\r\nds = load_dataset(\"glue\", 'cola')\r\nds\r\n```\r\n```\r\nDatasetDict({\r\n train: Dataset({\r\n features: ['sentence', 'label', 'idx'],\r\n num_rows: 8551\r\n ... |
https://api.github.com/repos/huggingface/datasets/issues/3918 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3918/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3918/comments | https://api.github.com/repos/huggingface/datasets/issues/3918/events | https://github.com/huggingface/datasets/issues/3918 | 1,169,366,117 | I_kwDODunzps5Fsxxl | 3,918 | datasets.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files | [
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"descript... | closed | false | null | 3 | 2022-03-15T08:53:45Z | 2022-03-16T15:36:58Z | 2022-03-15T14:01:25Z | null | ## Describe the bug
Can't load the dataset
## Steps to reproduce the bug
```python
# Sample code to reproduce the bug
```
from datasets import load_dataset
dataset = load_dataset('multi_news')
dataset_2=load_dataset("reddit_tifu", "long")
## Actual results
raise NonMatchingChecksumError(error_msg + str(bad_urls))
datasets.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files:
['https://drive.google.com/uc?export=download&id=1ffWfITKFMJeqjT8loC8aiCLRNJpc_XnF']
## Environment info
- `datasets` version: 1.18.4
- Platform: macOS-10.16-x86_64-i386-64bit
- Python version: 3.8.0
- PyArrow version: 6.0.1
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} | https://api.github.com/repos/huggingface/datasets/issues/3918/timeline | null | completed | null | null | false | [
"Hi @willowdong! These issues were fixed on master. We will have a new release of `datasets` later today. In the meantime, you can avoid these issues by installing `datasets` from master as follows:\r\n```bash\r\npip install git+https://github.com/huggingface/datasets.git\r\n```",
"You should force redownload:\r\... |
https://api.github.com/repos/huggingface/datasets/issues/1404 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1404/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1404/comments | https://api.github.com/repos/huggingface/datasets/issues/1404/events | https://github.com/huggingface/datasets/pull/1404 | 760,575,473 | MDExOlB1bGxSZXF1ZXN0NTM1Mzg0NzEz | 1,404 | Add Acronym Identification Dataset | [] | closed | false | null | 1 | 2020-12-09T18:38:54Z | 2020-12-14T13:12:01Z | 2020-12-14T13:12:00Z | null | {
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"fixed @lhoestq "
] | |
https://api.github.com/repos/huggingface/datasets/issues/3961 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3961/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3961/comments | https://api.github.com/repos/huggingface/datasets/issues/3961/events | https://github.com/huggingface/datasets/issues/3961 | 1,173,223,086 | I_kwDODunzps5F7fau | 3,961 | Scores from Index at extra positions are not filtered out | [
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] | closed | false | null | 2 | 2022-03-18T06:13:23Z | 2022-04-12T14:41:58Z | 2022-04-12T14:41:58Z | null | If a FAISS index has fewer records than the requested number of top results (k), then it returns -1 in indices for the additional positions. The get_nearest_examples method only filters out the extra results from the dataset samples. It would be better to filter out extra scores too.
Reference: https://github.com/huggingface/datasets/blob/2.0.0/src/datasets/search.py#L693
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"Hi! Yes, that makes sense! Would you like to submit a PR to fix this?",
"Created PR https://github.com/huggingface/datasets/pull/3971"
] |
https://api.github.com/repos/huggingface/datasets/issues/403 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/403/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/403/comments | https://api.github.com/repos/huggingface/datasets/issues/403/events | https://github.com/huggingface/datasets/pull/403 | 658,325,756 | MDExOlB1bGxSZXF1ZXN0NDUwMzAzNjI2 | 403 | return python objects instead of arrays by default | [] | closed | false | null | 0 | 2020-07-16T15:51:52Z | 2020-07-17T11:37:01Z | 2020-07-17T11:37:00Z | null | We were using to_pandas() to convert from arrow types, however it returns numpy arrays instead of python lists.
I fixed it by using to_pydict/to_pylist instead.
Fix #387
It was mentioned in https://github.com/huggingface/transformers/issues/5729
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https://api.github.com/repos/huggingface/datasets/issues/4199 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4199/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4199/comments | https://api.github.com/repos/huggingface/datasets/issues/4199/events | https://github.com/huggingface/datasets/issues/4199 | 1,211,953,308 | I_kwDODunzps5IPPCc | 4,199 | Cache miss during reload for datasets using image fetch utilities through map | [
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] | closed | false | null | 5 | 2022-04-22T07:47:08Z | 2022-04-26T17:00:32Z | 2022-04-26T13:38:26Z | null | ## Describe the bug
It looks like that result of `.map` operation dataset are missing the cache when you reload the script and always run from scratch. In same interpretor session, they are able to find the cache and reload it. But, when you exit the interpretor and reload it, the downloading starts from scratch.
## Steps to reproduce the bug
Using the example provided in `red_caps` dataset.
```python
from concurrent.futures import ThreadPoolExecutor
from functools import partial
import io
import urllib
import PIL.Image
import datasets
from datasets import load_dataset
from datasets.utils.file_utils import get_datasets_user_agent
def fetch_single_image(image_url, timeout=None, retries=0):
for _ in range(retries + 1):
try:
request = urllib.request.Request(
image_url,
data=None,
headers={"user-agent": get_datasets_user_agent()},
)
with urllib.request.urlopen(request, timeout=timeout) as req:
image = PIL.Image.open(io.BytesIO(req.read()))
break
except Exception:
image = None
return image
def fetch_images(batch, num_threads, timeout=None, retries=0):
fetch_single_image_with_args = partial(fetch_single_image, timeout=timeout, retries=retries)
with ThreadPoolExecutor(max_workers=num_threads) as executor:
batch["image"] = list(executor.map(lambda image_urls: [fetch_single_image_with_args(image_url) for image_url in image_urls], batch["image_url"]))
return batch
def process_image_urls(batch):
processed_batch_image_urls = []
for image_url in batch["image_url"]:
processed_example_image_urls = []
image_url_splits = re.findall(r"http\S+", image_url)
for image_url_split in image_url_splits:
if "imgur" in image_url_split and "," in image_url_split:
for image_url_part in image_url_split.split(","):
if not image_url_part:
continue
image_url_part = image_url_part.strip()
root, ext = os.path.splitext(image_url_part)
if not root.startswith("http"):
root = "http://i.imgur.com/" + root
root = root.split("#")[0]
if not ext:
ext = ".jpg"
ext = re.split(r"[?%]", ext)[0]
image_url_part = root + ext
processed_example_image_urls.append(image_url_part)
else:
processed_example_image_urls.append(image_url_split)
processed_batch_image_urls.append(processed_example_image_urls)
batch["image_url"] = processed_batch_image_urls
return batch
dset = load_dataset("red_caps", "jellyfish")
dset = dset.map(process_image_urls, batched=True, num_proc=4)
features = dset["train"].features.copy()
features["image"] = datasets.Sequence(datasets.Image())
num_threads = 5
dset = dset.map(fetch_images, batched=True, batch_size=50, features=features, fn_kwargs={"num_threads": num_threads})
```
Run this in an interpretor or as a script twice and see that the cache is missed the second time.
## Expected results
At reload there should not be any cache miss
## Actual results
Every time script is run, cache is missed and dataset is built from scratch.
## Environment info
- `datasets` version: 2.1.1.dev0
- Platform: Linux-4.19.0-20-cloud-amd64-x86_64-with-glibc2.10
- Python version: 3.8.13
- PyArrow version: 7.0.0
- Pandas version: 1.4.1
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"Hi ! Maybe one of the objects in the function is not deterministic across sessions ? You can read more about it and how to investigate here: https://huggingface.co/docs/datasets/about_cache",
"Hi @apsdehal! Can you verify that replacing\r\n```python\r\ndef fetch_single_image(image_url, timeout=None, retries=0):\... |
https://api.github.com/repos/huggingface/datasets/issues/4849 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4849/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4849/comments | https://api.github.com/repos/huggingface/datasets/issues/4849/events | https://github.com/huggingface/datasets/pull/4849 | 1,338,273,900 | PR_kwDODunzps49JN8d | 4,849 | 1.18.x | [] | closed | false | null | 0 | 2022-08-14T15:09:19Z | 2022-08-14T15:10:02Z | 2022-08-14T15:10:02Z | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5116 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5116/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5116/comments | https://api.github.com/repos/huggingface/datasets/issues/5116/events | https://github.com/huggingface/datasets/pull/5116 | 1,409,549,471 | PR_kwDODunzps5A09sk | 5,116 | Use yaml for issue templates + revamp | [] | closed | false | null | 1 | 2022-10-14T15:53:13Z | 2022-10-19T13:05:49Z | 2022-10-19T13:03:22Z | null | Use YAML instead of markdown (more expressive) for the issue templates. In addition, update their structure/fields to be more aligned with Transformers.
PS: also removes the "add_dataset" PR template, as we no longer accept such PRs. | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] |
https://api.github.com/repos/huggingface/datasets/issues/958 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/958/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/958/comments | https://api.github.com/repos/huggingface/datasets/issues/958/events | https://github.com/huggingface/datasets/pull/958 | 754,404,095 | MDExOlB1bGxSZXF1ZXN0NTMwMzA5ODkz | 958 | dataset(ncslgr): add initial loading script | [] | closed | false | null | 3 | 2020-12-01T13:41:17Z | 2020-12-07T16:35:39Z | 2020-12-07T16:35:39Z | null | clean #789 | {
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"@lhoestq I added the README files, and now the tests fail... (check commit history, only changed MD file)\r\nThe tests seem a bit unstable",
"the `RemoteDatasetTest ` errors in the CI are fixed on master so it's fine",
"merging since the CI is fixed on master"
] |
https://api.github.com/repos/huggingface/datasets/issues/5038 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5038/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5038/comments | https://api.github.com/repos/huggingface/datasets/issues/5038/events | https://github.com/huggingface/datasets/issues/5038 | 1,389,631,122 | I_kwDODunzps5S1BaS | 5,038 | `Dataset.unique` showing wrong output after filtering | [
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] | closed | false | null | 2 | 2022-09-28T16:20:35Z | 2022-09-30T15:44:25Z | 2022-09-30T15:44:25Z | null | ## Describe the bug
After filtering a dataset, and if no samples remain, `Dataset.unique` will return the unique values of the unfiltered dataset.
## Steps to reproduce the bug
```python
from datasets import Dataset
dataset = Dataset.from_dict({'id': [0]})
dataset = dataset.filter(lambda _: False)
print(dataset.unique('id'))
```
## Expected results
The above code should return an empty list since the dataset is empty.
## Actual results
```bash
[0]
```
## Environment info
- `datasets` version: 2.5.1
- Platform: Linux-5.18.19-100.fc35.x86_64-x86_64-with-glibc2.34
- Python version: 3.9.14
- PyArrow version: 7.0.0
- Pandas version: 1.3.5 | {
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} | https://api.github.com/repos/huggingface/datasets/issues/5038/timeline | null | completed | null | null | false | [
"Hi! It seems like `flatten_indices` (called in `unique`) doesn't know how to handle empty indices mappings. I'm working on the fix.",
"Thanks, that was fast!"
] |
https://api.github.com/repos/huggingface/datasets/issues/1673 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1673/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1673/comments | https://api.github.com/repos/huggingface/datasets/issues/1673/events | https://github.com/huggingface/datasets/issues/1673 | 777,263,651 | MDU6SXNzdWU3NzcyNjM2NTE= | 1,673 | Unable to Download Hindi Wikipedia Dataset | [] | closed | false | null | 6 | 2021-01-01T10:52:53Z | 2021-01-05T10:22:12Z | 2021-01-05T10:22:12Z | null | I used the Dataset Library in Python to load the wikipedia dataset with the Hindi Config 20200501.hi along with something called beam_runner='DirectRunner' and it keeps giving me the error that the file is not found. I have attached the screenshot of the error and the code both. Please help me to understand how to resolve this issue.
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} | https://api.github.com/repos/huggingface/datasets/issues/1673/timeline | null | completed | null | null | false | [
"Currently this dataset is only available when the library is installed from source since it was added after the last release.\r\n\r\nWe pin the dataset version with the library version so that people can have a reproducible dataset and processing when pinning the library.\r\n\r\nWe'll see if we can provide access ... |
https://api.github.com/repos/huggingface/datasets/issues/560 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/560/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/560/comments | https://api.github.com/repos/huggingface/datasets/issues/560/events | https://github.com/huggingface/datasets/issues/560 | 690,488,764 | MDU6SXNzdWU2OTA0ODg3NjQ= | 560 | Using custom DownloadConfig results in an error | [] | closed | false | null | 6 | 2020-09-01T22:23:02Z | 2022-10-04T17:23:45Z | 2022-10-04T17:23:45Z | null | ## Version / Environment
Ubuntu 18.04
Python 3.6.8
nlp 0.4.0
## Description
Loading `imdb` dataset works fine when when I don't specify any `download_config` argument. When I create a custom `DownloadConfig` object and pass it to the `nlp.load_dataset` function, this results in an error.
## How to reproduce
### Example without DownloadConfig --> works
```python
import os
os.environ["HF_HOME"] = "/data/hf-test-without-dl-config-01/"
import logging
import nlp
logging.basicConfig(level=logging.INFO)
if __name__ == "__main__":
imdb = nlp.load_dataset(path="imdb")
```
### Example with DownloadConfig --> doesn't work
```python
import os
os.environ["HF_HOME"] = "/data/hf-test-with-dl-config-01/"
import logging
import nlp
from nlp.utils import DownloadConfig
logging.basicConfig(level=logging.INFO)
if __name__ == "__main__":
download_config = DownloadConfig()
imdb = nlp.load_dataset(path="imdb", download_config=download_config)
```
Error traceback:
```
Traceback (most recent call last):
File "/.../example_with_dl_config.py", line 13, in <module>
imdb = nlp.load_dataset(path="imdb", download_config=download_config)
File "/.../python3.6/python3.6/site-packages/nlp/load.py", line 549, in load_dataset
download_config=download_config, download_mode=download_mode, ignore_verifications=ignore_verifications,
File "/.../python3.6/python3.6/site-packages/nlp/builder.py", line 463, in download_and_prepare
dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
File "/.../python3.6/python3.6/site-packages/nlp/builder.py", line 518, in _download_and_prepare
split_generators = self._split_generators(dl_manager, **split_generators_kwargs)
File "/.../python3.6/python3.6/site-packages/nlp/datasets/imdb/76cdbd7249ea3548c928bbf304258dab44d09cd3638d9da8d42480d1d1be3743/imdb.py", line 86, in _split_generators
arch_path = dl_manager.download_and_extract(_DOWNLOAD_URL)
File "/.../python3.6/python3.6/site-packages/nlp/utils/download_manager.py", line 220, in download_and_extract
return self.extract(self.download(url_or_urls))
File "/.../python3.6/python3.6/site-packages/nlp/utils/download_manager.py", line 158, in download
self._record_sizes_checksums(url_or_urls, downloaded_path_or_paths)
File "/.../python3.6/python3.6/site-packages/nlp/utils/download_manager.py", line 108, in _record_sizes_checksums
self._recorded_sizes_checksums[url] = get_size_checksum_dict(path)
File "/.../python3.6/python3.6/site-packages/nlp/utils/info_utils.py", line 79, in get_size_checksum_dict
with open(path, "rb") as f:
IsADirectoryError: [Errno 21] Is a directory: '/data/hf-test-with-dl-config-01/datasets/extracted/b6802c5b61824b2c1f7dbf7cda6696b5f2e22214e18d171ce1ed3be90c931ce5'
```
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} | https://api.github.com/repos/huggingface/datasets/issues/560/timeline | null | completed | null | null | false | [
"From my limited understanding, part of the issue seems related to the `prepare_module` and `download_and_prepare` functions each handling the case where no config is passed. For example, `prepare_module` does mutate the object passed and forces the flags `extract_compressed_file` and `force_extract` to `True`.\r\... |
https://api.github.com/repos/huggingface/datasets/issues/2284 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2284/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2284/comments | https://api.github.com/repos/huggingface/datasets/issues/2284/events | https://github.com/huggingface/datasets/pull/2284 | 870,932,710 | MDExOlB1bGxSZXF1ZXN0NjI2MDM5MDc5 | 2,284 | Initialize Imdb dataset as used in Don't Stop Pretraining Paper | [] | closed | false | null | 0 | 2021-04-29T11:52:38Z | 2021-04-29T12:54:34Z | 2021-04-29T12:54:34Z | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1375 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1375/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1375/comments | https://api.github.com/repos/huggingface/datasets/issues/1375/events | https://github.com/huggingface/datasets/pull/1375 | 760,294,931 | MDExOlB1bGxSZXF1ZXN0NTM1MTUwOTk2 | 1,375 | Add OPUS EMEA Dataset | [] | closed | false | null | 0 | 2020-12-09T12:39:44Z | 2020-12-10T16:11:09Z | 2020-12-10T16:11:08Z | null | {
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https://api.github.com/repos/huggingface/datasets/issues/5805 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5805/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5805/comments | https://api.github.com/repos/huggingface/datasets/issues/5805/events | https://github.com/huggingface/datasets/issues/5805 | 1,688,558,577 | I_kwDODunzps5kpVvx | 5,805 | Improve `Create a dataset` tutorial | [
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] | open | false | null | 2 | 2023-04-28T13:26:22Z | 2023-06-23T14:58:44Z | null | null | Our [tutorial on how to create a dataset](https://huggingface.co/docs/datasets/create_dataset) is a bit misleading.
1. In **Folder-based builders** section it says that we have two folder-based builders as standard builders, but we also have similar builders (that can be created from directory with data of required format) for `csv`, `json/jsonl`, `parquet` and `txt` files. We have info about these loaders in separate [guide for loading](https://huggingface.co/docs/datasets/loading#local-and-remote-files) but it's worth briefly mentioning them in the beginning tutorial because they are more common and for consistency. Would be helpful to add the link to the full guide.
2. **From local files** section lists methods for creating a dataset from in-memory data which are also described in [loading guide](https://huggingface.co/docs/datasets/loading#inmemory-data).
Maybe we should actually rethink and restructure this tutorial somehow. | {
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"I can work on this. The link to the tutorial seems to be broken though @polinaeterna. ",
"@isunitha98selvan would be great, thank you! which link are you talking about? I think it should work: https://huggingface.co/docs/datasets/create_dataset"
] |
https://api.github.com/repos/huggingface/datasets/issues/472 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/472/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/472/comments | https://api.github.com/repos/huggingface/datasets/issues/472/events | https://github.com/huggingface/datasets/pull/472 | 672,000,745 | MDExOlB1bGxSZXF1ZXN0NDYyMTE1MjA4 | 472 | add crd3 dataset | [] | closed | false | null | 1 | 2020-08-03T11:15:02Z | 2020-08-03T11:22:10Z | 2020-08-03T11:22:09Z | null | opening new PR for CRD3 dataset (ACL2020) to fix the circle CI problems | {
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"This PR was already approved by @lhoestq in #456 . This one just make style to remove some typos"
] |
https://api.github.com/repos/huggingface/datasets/issues/1858 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1858/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1858/comments | https://api.github.com/repos/huggingface/datasets/issues/1858/events | https://github.com/huggingface/datasets/pull/1858 | 805,477,774 | MDExOlB1bGxSZXF1ZXN0NTcxMDcxNzIx | 1,858 | Clean config getenvs | [] | closed | false | null | 0 | 2021-02-10T12:39:14Z | 2021-02-10T15:52:30Z | 2021-02-10T15:52:29Z | null | Following #1848
Remove double getenv calls and fix one issue with rarfile
cc @albertvillanova | {
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https://api.github.com/repos/huggingface/datasets/issues/4825 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4825/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4825/comments | https://api.github.com/repos/huggingface/datasets/issues/4825/events | https://github.com/huggingface/datasets/pull/4825 | 1,335,856,882 | PR_kwDODunzps49BYWL | 4,825 | [Windows] Fix Access Denied when using os.rename() | [] | closed | false | null | 6 | 2022-08-11T11:57:15Z | 2022-08-24T13:09:07Z | 2022-08-24T13:09:07Z | null | In this PR, we are including an additional step when `os.rename()` raises a PermissionError.
Basically, we will use `shutil.move()` on the temp files.
Fix #2937 | {
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"Cool thank you ! Maybe we can just replace `os.rename` by `shutil.move` instead ?",
"> Cool thank you ! Maybe we can just replace `os.rename` by `shutil.move` instead ?\r\n\r\nYes, I think that could be a better solution, but I didn't test it in Linux (e.g. Ubuntu) to guarantee that `os.rename()` could be comple... |
https://api.github.com/repos/huggingface/datasets/issues/2685 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2685/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2685/comments | https://api.github.com/repos/huggingface/datasets/issues/2685/events | https://github.com/huggingface/datasets/pull/2685 | 948,791,572 | MDExOlB1bGxSZXF1ZXN0NjkzNTgxNTk2 | 2,685 | Fix Blog Authorship Corpus dataset | [] | closed | false | null | 3 | 2021-07-20T15:44:50Z | 2021-07-21T13:11:58Z | 2021-07-21T13:11:58Z | null | This PR:
- Update the JSON metadata file, which previously was raising a `NonMatchingSplitsSizesError`
- Fix the codec of the data files (`latin_1` instead of `utf-8`), which previously was raising ` UnicodeDecodeError` for some files
Close #2679. | {
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"Normally, I'm expecting errors from the validation of the README file... 😅 ",
"That is:\r\n```\r\n=========================== short test summary info ============================\r\nFAILED tests/test_dataset_cards.py::test_changed_dataset_card[blog_authorship_corpus]\r\n==== 1 failed, 3182 passed, 2763 skipped,... |
https://api.github.com/repos/huggingface/datasets/issues/2675 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2675/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2675/comments | https://api.github.com/repos/huggingface/datasets/issues/2675/events | https://github.com/huggingface/datasets/pull/2675 | 947,657,732 | MDExOlB1bGxSZXF1ZXN0NjkyNjEwNTA1 | 2,675 | Parallelize ETag requests | [] | closed | false | null | 0 | 2021-07-19T13:30:42Z | 2021-07-19T19:33:25Z | 2021-07-19T19:33:25Z | null | Since https://github.com/huggingface/datasets/pull/2628 we use the ETag or the remote data files to compute the directory in the cache where a dataset is saved. This is useful in order to reload the dataset from the cache only if the remote files haven't changed.
In this I made the ETag requests parallel using multithreading. There is also a tqdm progress bar that shows up if there are more than 16 data files. | {
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https://api.github.com/repos/huggingface/datasets/issues/123 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/123/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/123/comments | https://api.github.com/repos/huggingface/datasets/issues/123/events | https://github.com/huggingface/datasets/pull/123 | 618,820,140 | MDExOlB1bGxSZXF1ZXN0NDE4NDcxODU5 | 123 | [Tests] Local => aws | [] | closed | false | null | 3 | 2020-05-15T09:12:25Z | 2020-05-15T10:06:12Z | 2020-05-15T10:03:26Z | null | ## Change default Test from local => aws
As a default we set` aws=True`, `Local=False`, `slow=False`
### 1. RUN_AWS=1 (default)
This runs 4 tests per dataset script.
a) Does the dataset script have a valid etag / Can it be reached on AWS?
b) Can we load its `builder_class`?
c) Can we load **all** dataset configs?
d) _Most importantly_: Can we load the dataset?
Important - we currently only test the first config of each dataset to reduce test time. Total test time is around 1min20s.
### 2. RUN_LOCAL=1 RUN_AWS=0
***This should be done when debugging dataset scripts of the ./datasets folder***
This only runs 1 test per dataset test, which is equivalent to aws d) - Can we load the dataset from the local `datasets` directory?
### 3. RUN_SLOW=1
We should set up to run these tests maybe 1 time per week ? @thomwolf
The `slow` tests include two more important tests.
e) Can we load the dataset with all possible configs? This test will probably fail at the moment because a lot of dummy data is missing. We should add the dummy data step by step to be sure that all configs work.
f) Test that the actual dataset can be loaded. This will take quite some time to run, but is important to make sure that the "real" data can be loaded. It will also test whether the dataset script has the correct checksums file which is currently not tested with `aws=True`. @lhoestq - is there an easy way to check cheaply whether the `dataset_info.json` is correct for each dataset script? | {
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"For each dataset, If there exist a `dataset_info.json`, then the command `nlp-cli test path/to/my/dataset --al_configs` is successful only if the `dataset_infos.json` is correct. The infos are correct if the size and checksums of the downloaded file are correct, and if the number of examples in each split are corr... |
https://api.github.com/repos/huggingface/datasets/issues/1111 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1111/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1111/comments | https://api.github.com/repos/huggingface/datasets/issues/1111/events | https://github.com/huggingface/datasets/pull/1111 | 757,083,266 | MDExOlB1bGxSZXF1ZXN0NTMyNTE4NDY1 | 1,111 | Add Siswati Ner corpus | [] | closed | false | null | 0 | 2020-12-04T12:57:31Z | 2020-12-04T14:43:01Z | 2020-12-04T14:43:00Z | null | Clean Siswati PR | {
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https://api.github.com/repos/huggingface/datasets/issues/923 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/923/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/923/comments | https://api.github.com/repos/huggingface/datasets/issues/923/events | https://github.com/huggingface/datasets/pull/923 | 753,569,220 | MDExOlB1bGxSZXF1ZXN0NTI5NjIyMDQx | 923 | Add CC-100 dataset | [
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] | closed | false | null | 10 | 2020-11-30T15:23:22Z | 2021-04-20T13:34:17Z | 2021-04-20T13:34:17Z | null | Add CC-100.
Close #773 | {
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"Hello @lhoestq, I would like just to ask you if it is OK that I include this feature 9f32ba1 in this PR or you would prefer to have it in a separate one.\r\n\r\nI was wondering whether include also a test, but I did not find any test for the other file formats...",
"Hi ! Sure that would be valuable to support .x... |
https://api.github.com/repos/huggingface/datasets/issues/2110 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2110/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2110/comments | https://api.github.com/repos/huggingface/datasets/issues/2110/events | https://github.com/huggingface/datasets/pull/2110 | 840,794,995 | MDExOlB1bGxSZXF1ZXN0NjAwNjI1NDQ5 | 2,110 | Fix incorrect assertion in builder.py | [] | closed | false | null | 2 | 2021-03-25T10:39:20Z | 2021-04-12T13:33:03Z | 2021-04-12T13:33:03Z | null | Fix incorrect num_examples comparison assertion in builder.py | {
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"Hi ! The SplitInfo is not always available. By default you would get `split_info.num_examples == 0`\r\nSo unfortunately we can't use this assertion you suggested",
"> Hi ! The SplitInfo is not always available. By default you would get `split_info.num_examples == 0`\r\n> So unfortunately we can't use this assert... |
https://api.github.com/repos/huggingface/datasets/issues/4143 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4143/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4143/comments | https://api.github.com/repos/huggingface/datasets/issues/4143/events | https://github.com/huggingface/datasets/issues/4143 | 1,199,937,961 | I_kwDODunzps5HhZmp | 4,143 | Unable to download `Wikepedia` 20220301.en version | [
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] | closed | false | null | 3 | 2022-04-11T13:00:14Z | 2022-08-17T00:37:55Z | 2022-04-21T17:04:14Z | null | ## Describe the bug
Unable to download `Wikepedia` dataset, 20220301.en version
## Steps to reproduce the bug
```python
!pip install apache_beam mwparserfromhell
dataset_wikipedia = load_dataset("wikipedia", "20220301.en")
```
## Actual results
```
ValueError: BuilderConfig 20220301.en not found.
Available: ['20200501.aa', '20200501.ab', '20200501.ace', '20200501.ady', '20200501.af', '20200501.ak', '20200501.als', '20200501.am', '20200501.an', '20200501.ang', '20200501.ar', '20200501.arc', '20200501.arz', '20200501.as', '20200501.ast', '20200501.atj', '20200501.av', '20200501.ay', '20200501.az', '20200501.azb', '20200501.ba', '20200501.bar', '20200501.bat-smg', '20200501.bcl', '20200501.be', '20200501.be-x-old', '20200501.bg', '20200501.bh', '20200501.bi', '20200501.bjn', '20200501.bm', '20200501.bn', '20200501.bo', '20200501.bpy', '20200501.br', '20200501.bs', '20200501.bug', '20200501.bxr', '20200501.ca', '20200501.cbk-zam', '20200501.cdo', '20200501.ce', '20200501.ceb', '20200501.ch', '20200501.cho', '20200501.chr', '20200501.chy', '20200501.ckb', '20200501.co', '20200501.cr', '20200501.crh', '20200501.cs', '20200501.csb', '20200501.cu', '20200501.cv', '20200501.cy', '20200501.da', '20200501.de', '20200501.din', '20200501.diq', '20200501.dsb', '20200501.dty', '20200501.dv', '20200501.dz', '20200501.ee', '20200501.el', '20200501.eml', '20200501.en', '20200501.eo', '20200501.es', '20200501.et', '20200501.eu', '20200501.ext', '20200501.fa', '20200501.ff', '20200501.fi', '20200501.fiu-vro', '20200501.fj', '20200501.fo', '20200501.fr', '20200501.frp', '20200501.frr', '20200501.fur', '20200501.fy', '20200501.ga', '20200501.gag', '20200501.gan', '20200501.gd', '20200501.gl', '20200501.glk', '20200501.gn', '20200501.gom', '20200501.gor', '20200501.got', '20200501.gu', '20200501.gv', '20200501.ha', '20200501.hak', '20200501.haw', '20200501.he', '20200501.hi', '20200501.hif', '20200501.ho', '20200501.hr', '20200501.hsb', '20200501.ht', '20200501.hu', '20200501.hy', '20200501.ia', '20200501.id', '20200501.ie', '20200501.ig', '20200501.ii', '20200501.ik', '20200501.ilo', '20200501.inh', '20200501.io', '20200501.is', '20200501.it', '20200501.iu', '20200501.ja', '20200501.jam', '20200501.jbo', '20200501.jv', '20200501.ka', '20200501.kaa', '20200501.kab', '20200501.kbd', '20200501.kbp', '20200501.kg', '20200501.ki', '20200501.kj', '20200501.kk', '20200501.kl', '20200501.km', '20200501.kn', '20200501.ko', '20200501.koi', '20200501.krc', '20200501.ks', '20200501.ksh', '20200501.ku', '20200501.kv', '20200501.kw', '20200501.ky', '20200501.la', '20200501.lad', '20200501.lb', '20200501.lbe', '20200501.lez', '20200501.lfn', '20200501.lg', '20200501.li', '20200501.lij', '20200501.lmo', '20200501.ln', '20200501.lo', '20200501.lrc', '20200501.lt', '20200501.ltg', '20200501.lv', '20200501.mai', '20200501.map-bms', '20200501.mdf', '20200501.mg', '20200501.mh', '20200501.mhr', '20200501.mi', '20200501.min', '20200501.mk', '20200501.ml', '20200501.mn', '20200501.mr', '20200501.mrj', '20200501.ms', '20200501.mt', '20200501.mus', '20200501.mwl', '20200501.my', '20200501.myv', '20200501.mzn', '20200501.na', '20200501.nah', '20200501.nap', '20200501.nds', '20200501.nds-nl', '20200501.ne', '20200501.new', '20200501.ng', '20200501.nl', '20200501.nn', '20200501.no', '20200501.nov', '20200501.nrm', '20200501.nso', '20200501.nv', '20200501.ny', '20200501.oc', '20200501.olo', '20200501.om', '20200501.or', '20200501.os', '20200501.pa', '20200501.pag', '20200501.pam', '20200501.pap', '20200501.pcd', '20200501.pdc', '20200501.pfl', '20200501.pi', '20200501.pih', '20200501.pl', '20200501.pms', '20200501.pnb', '20200501.pnt', '20200501.ps', '20200501.pt', '20200501.qu', '20200501.rm', '20200501.rmy', '20200501.rn', '20200501.ro', '20200501.roa-rup', '20200501.roa-tara', '20200501.ru', '20200501.rue', '20200501.rw', '20200501.sa', '20200501.sah', '20200501.sat', '20200501.sc', '20200501.scn', '20200501.sco', '20200501.sd', '20200501.se', '20200501.sg', '20200501.sh', '20200501.si', '20200501.simple', '20200501.sk', '20200501.sl', '20200501.sm', '20200501.sn', '20200501.so', '20200501.sq', '20200501.sr', '20200501.srn', '20200501.ss', '20200501.st', '20200501.stq', '20200501.su', '20200501.sv', '20200501.sw', '20200501.szl', '20200501.ta', '20200501.tcy', '20200501.te', '20200501.tet', '20200501.tg', '20200501.th', '20200501.ti', '20200501.tk', '20200501.tl', '20200501.tn', '20200501.to', '20200501.tpi', '20200501.tr', '20200501.ts', '20200501.tt', '20200501.tum', '20200501.tw', '20200501.ty', '20200501.tyv', '20200501.udm', '20200501.ug', '20200501.uk', '20200501.ur', '20200501.uz', '20200501.ve', '20200501.vec', '20200501.vep', '20200501.vi', '20200501.vls', '20200501.vo', '20200501.wa', '20200501.war', '20200501.wo', '20200501.wuu', '20200501.xal', '20200501.xh', '20200501.xmf', '20200501.yi', '20200501.yo', '20200501.za', '20200501.zea', '20200501.zh', '20200501.zh-classical', '20200501.zh-min-nan', '20200501.zh-yue', '20200501.zu']
```
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 2.0.0
- Platform: Ubuntu
- Python version: 3.6
- PyArrow version: 6.0.1 | {
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"Hi! We've recently updated the Wikipedia script, so these changes are only available on master and can be fetched as follows:\r\n```python\r\ndataset_wikipedia = load_dataset(\"wikipedia\", \"20220301.en\", revision=\"master\")\r\n```",
"Hi, how can I load the previous \"20200501.en\" version of wikipedia which ... |
https://api.github.com/repos/huggingface/datasets/issues/5726 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5726/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5726/comments | https://api.github.com/repos/huggingface/datasets/issues/5726/events | https://github.com/huggingface/datasets/issues/5726 | 1,660,944,807 | I_kwDODunzps5jAAGn | 5,726 | Fallback JSON Dataset loading does not load all values when features specified manually | [] | closed | false | null | 1 | 2023-04-10T15:22:14Z | 2023-04-21T06:35:28Z | 2023-04-21T06:35:28Z | null | ### Describe the bug
The fallback JSON dataset loader located here:
https://github.com/huggingface/datasets/blob/1c4ec00511868bd881e84a6f7e0333648d833b8e/src/datasets/packaged_modules/json/json.py#L130-L153
does not load the values of features correctly when features are specified manually and not all features have a value in the first entry of the dataset. I'm pretty sure this is not supposed to be expected bahavior?
To fix this you'd have to change this line:
https://github.com/huggingface/datasets/blob/1c4ec00511868bd881e84a6f7e0333648d833b8e/src/datasets/packaged_modules/json/json.py#L140
To pass a schema to pyarrow which has the same structure as the features argument passed to the load_dataset() method.
### Steps to reproduce the bug
Consider a dataset JSON like this:
```
[
{
"instruction": "Do stuff",
"output": "Answer stuff"
},
{
"instruction": "Do stuff2",
"input": "Additional Input2",
"output": "Answer stuff2"
}
]
```
Using this code to load the dataset:
```
from datasets import load_dataset, Features, Value
features = {
"instruction": Value("string"),
"input": Value("string"),
"output": Value("string")
}
features = Features(features)
ds = load_dataset("json", data_files="./ds.json", features=features)
for row in ds["train"]:
print(row)
```
we get a dataset that looks like this:
| **Instruction** | **Input** | **Output** |
|-----------------|--------------------|-----------------|
| "Do stuff" | None | "Answer Stuff" |
| "Do stuff2" | None | "Answer Stuff2" |
### Expected behavior
The input column should contain values other than None for dataset entries that have the "input" attribute set:
| **Instruction** | **Input** | **Output** |
|-----------------|--------------------|-----------------|
| "Do stuff" | None | "Answer Stuff" |
| "Do stuff2" | "Additional Input2" | "Answer Stuff2" |
### Environment info
Python 3.10.10
Datasets 2.11.0
Windows 10 | {
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"Thanks for reporting, @myluki2000.\r\n\r\nI am working on a fix."
] |
https://api.github.com/repos/huggingface/datasets/issues/4945 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4945/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4945/comments | https://api.github.com/repos/huggingface/datasets/issues/4945/events | https://github.com/huggingface/datasets/issues/4945 | 1,364,691,096 | I_kwDODunzps5RV4iY | 4,945 | Push to hub can push splits that do not respect the regex | [
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] | closed | false | null | 0 | 2022-09-07T13:45:17Z | 2022-09-13T10:16:35Z | 2022-09-13T10:16:35Z | null | ## Describe the bug
The `push_to_hub` method can push splits that do not respect the regex check that is used for downloads. Therefore, splits may be pushed but never re-used, which can be painful if the split was done after runtime preprocessing.
## Steps to reproduce the bug
```python
>>> from datasets import Dataset, DatasetDict, load_dataset
>>> d = Dataset.from_dict({'x': [1,2,3], 'y': [1,2,3]})
>>> di = DatasetDict()
>>> di['identifier-with-column'] = d
>>> di.push_to_hub('open-source-metrics/test')
Pushing split identifier-with-column to the Hub.
Pushing dataset shards to the dataset hub: 100%|██████████| 1/1 [00:04<00:00, 4.40s/it]
```
Loading it afterwards:
```python
>>> load_dataset('open-source-metrics/test')
Downloading: 100%|██████████| 610/610 [00:00<00:00, 432kB/s]
Using custom data configuration open-source-metrics--test-28b63ec7cde80488
Downloading and preparing dataset None/None (download: 950 bytes, generated: 48 bytes, post-processed: Unknown size, total: 998 bytes) to /home/lysandre/.cache/huggingface/datasets/open-source-metrics___parquet/open-source-metrics--test-28b63ec7cde80488/0.0.0/2a3b91fbd88a2c90d1dbbb32b460cf621d31bd5b05b934492fdef7d8d6f236ec...
Downloading data files: 0%| | 0/1 [00:00<?, ?it/s]
Downloading data: 100%|██████████| 950/950 [00:00<00:00, 1.01MB/s]
Downloading data files: 100%|██████████| 1/1 [00:01<00:00, 1.48s/it]
Extracting data files: 100%|██████████| 1/1 [00:00<00:00, 2291.97it/s]
Traceback (most recent call last):
File "/home/lysandre/.pyenv/versions/3.10.6/lib/python3.10/code.py", line 90, in runcode
exec(code, self.locals)
File "<input>", line 1, in <module>
File "/home/lysandre/Workspaces/python/Metrics/GitHub-Metrics/.env/lib/python3.10/site-packages/datasets/load.py", line 1746, in load_dataset
builder_instance.download_and_prepare(
File "/home/lysandre/Workspaces/python/Metrics/GitHub-Metrics/.env/lib/python3.10/site-packages/datasets/builder.py", line 704, in download_and_prepare
self._download_and_prepare(
File "/home/lysandre/Workspaces/python/Metrics/GitHub-Metrics/.env/lib/python3.10/site-packages/datasets/builder.py", line 771, in _download_and_prepare
split_generators = self._split_generators(dl_manager, **split_generators_kwargs)
File "/home/lysandre/Workspaces/python/Metrics/GitHub-Metrics/.env/lib/python3.10/site-packages/datasets/packaged_modules/parquet/parquet.py", line 48, in _split_generators
splits.append(datasets.SplitGenerator(name=split_name, gen_kwargs={"files": files}))
File "<string>", line 5, in __init__
File "/home/lysandre/Workspaces/python/Metrics/GitHub-Metrics/.env/lib/python3.10/site-packages/datasets/splits.py", line 599, in __post_init__
NamedSplit(self.name) # check that it's a valid split name
File "/home/lysandre/Workspaces/python/Metrics/GitHub-Metrics/.env/lib/python3.10/site-packages/datasets/splits.py", line 346, in __init__
raise ValueError(f"Split name should match '{_split_re}' but got '{split_name}'.")
ValueError: Split name should match '^\w+(\.\w+)*$' but got 'identifier-with-column'.
```
## Expected results
I would expect `push_to_hub` to stop me in my tracks if trying to upload a split that will not be working afterwards.
## Actual results
See above
## Environment info
- `datasets` version: 2.4.0
- Platform: Linux-5.15.64-1-lts-x86_64-with-glibc2.36
- Python version: 3.10.6
- PyArrow version: 9.0.0
- Pandas version: 1.4.4
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https://api.github.com/repos/huggingface/datasets/issues/4978 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4978/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4978/comments | https://api.github.com/repos/huggingface/datasets/issues/4978/events | https://github.com/huggingface/datasets/pull/4978 | 1,374,271,504 | PR_kwDODunzps4_Axnh | 4,978 | Update IndicGLUE download links | [] | closed | false | null | 1 | 2022-09-15T10:05:57Z | 2022-09-15T22:00:20Z | 2022-09-15T21:57:34Z | null | null | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/4978"
} | true | [
"_The documentation is not available anymore as the PR was closed or merged._"
] |
https://api.github.com/repos/huggingface/datasets/issues/3594 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3594/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3594/comments | https://api.github.com/repos/huggingface/datasets/issues/3594/events | https://github.com/huggingface/datasets/pull/3594 | 1,107,174,619 | PR_kwDODunzps4xN3Kk | 3,594 | fix multiple language downloading in mC4 | [] | closed | false | null | 1 | 2022-01-18T17:25:19Z | 2022-01-19T11:22:57Z | 2022-01-18T19:10:22Z | null | If we try to access multiple languages of the [mC4 dataset](https://github.com/huggingface/datasets/tree/master/datasets/mc4), it will throw an error. For example, if we do
```python
mc4_subset_two_langs = load_dataset("mc4", languages=["st", "su"])
```
we got
```
FileNotFoundError: Couldn't find file at https://huggingface.co/datasets/allenai/c4/resolve/1ddc917116b730e1859edef32896ec5c16be51d0/multilingual/c4-st+su.tfrecord-00000-of-00002.json.gz
```
Now it should work. Check it (from the root dir of a project):
```python
mc4_subset_two_langs = load_dataset("./datasets/mc4/", languages=["st", "su"])
``` | {
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"The CI failure is unrelated to your PR and fixed on master, merging :)"
] |
https://api.github.com/repos/huggingface/datasets/issues/5986 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5986/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5986/comments | https://api.github.com/repos/huggingface/datasets/issues/5986/events | https://github.com/huggingface/datasets/pull/5986 | 1,772,233,111 | PR_kwDODunzps5TygOZ | 5,986 | Make IterableDataset.from_spark more efficient | [] | closed | false | null | 6 | 2023-06-23T22:18:20Z | 2023-07-07T10:05:58Z | 2023-07-07T09:56:09Z | null | Moved the code from using collect() to using toLocalIterator, which allows for prefetching partitions that will be selected next, thus allowing for better performance when iterating. | {
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"@lhoestq would you be able to review this please and also approve the workflow?",
"Sounds good to me :) feel free to run `make style` to apply code formatting",
"_The documentation is not available anymore as the PR was closed or merged._",
"cool ! I think we can merge once all comments have been addressed",... |
https://api.github.com/repos/huggingface/datasets/issues/3207 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3207/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3207/comments | https://api.github.com/repos/huggingface/datasets/issues/3207/events | https://github.com/huggingface/datasets/issues/3207 | 1,044,496,389 | I_kwDODunzps4-QcAF | 3,207 | CI error: Another metric with the same name already exists in Keras 2.7.0 | [
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] | closed | false | null | 0 | 2021-11-04T09:04:11Z | 2021-11-04T09:30:54Z | 2021-11-04T09:30:54Z | null | ## Describe the bug
Release of TensorFlow 2.7.0 contains an incompatibility with Keras. See:
- keras-team/keras#15579
This breaks our CI test suite: https://app.circleci.com/pipelines/github/huggingface/datasets/8493/workflows/055c7ae2-43bc-49b4-9f11-8fc71f35a25c/jobs/52363
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https://api.github.com/repos/huggingface/datasets/issues/5334 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5334/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5334/comments | https://api.github.com/repos/huggingface/datasets/issues/5334/events | https://github.com/huggingface/datasets/pull/5334 | 1,477,421,927 | PR_kwDODunzps5EY9zN | 5,334 | Clean up docstrings | [
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}
] | closed | false | null | 3 | 2022-12-05T20:56:08Z | 2022-12-09T01:44:25Z | 2022-12-09T01:41:44Z | null | As raised by @polinaeterna in #5324, some of the docstrings are a bit of a mess because it has both Markdown and Sphinx syntax. This PR fixes the docstring for `DatasetBuilder`.
I'll start working on cleaning up the rest of the docstrings and removing the old Sphinx syntax (let me know if you prefer one big PR with all the cleaned changes or multiple smaller ones)! 🧼 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Thanks ! Let us know if we can help :)\r\n\r\nSmall pref for having multiple PRs",
"Awesome, thanks! Sorry this one is a little big, I'll open some smaller ones next :)"
] |
https://api.github.com/repos/huggingface/datasets/issues/1327 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1327/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1327/comments | https://api.github.com/repos/huggingface/datasets/issues/1327/events | https://github.com/huggingface/datasets/pull/1327 | 759,629,321 | MDExOlB1bGxSZXF1ZXN0NTM0NjAxNDM3 | 1,327 | Add msr_genomics_kbcomp dataset | [] | closed | false | null | 0 | 2020-12-08T17:18:20Z | 2020-12-08T18:18:32Z | 2020-12-08T18:18:06Z | null | {
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https://api.github.com/repos/huggingface/datasets/issues/4657 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4657/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4657/comments | https://api.github.com/repos/huggingface/datasets/issues/4657/events | https://github.com/huggingface/datasets/issues/4657 | 1,296,743,133 | I_kwDODunzps5NSrrd | 4,657 | Add SQuAD2.0 Dataset | [
{
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"url": "https://api.github.com/repos/huggingface/datasets/labels/dataset%20request"
}
] | closed | false | null | 2 | 2022-07-07T03:19:36Z | 2022-07-12T16:14:52Z | 2022-07-12T16:14:52Z | null | ## Adding a Dataset
- **Name:** *SQuAD2.0*
- **Description:** *Stanford Question Answering Dataset (SQuAD) is a reading comprehension dataset, consisting of questions posed by crowdworkers on a set of Wikipedia articles, where the answer to every question is a segment of text, or span, from the corresponding reading passage, or the question might be unanswerable.*
- **Paper:** *https://aclanthology.org/P18-2124.pdf*
- **Data:** *https://rajpurkar.github.io/SQuAD-explorer/*
- **Motivation:** *Dataset for training and evaluating models of conversational response*
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"Hey, It's already present [here](https://huggingface.co/datasets/squad_v2) ",
"Hi! This dataset is indeed already available on the Hub. Closing."
] |
https://api.github.com/repos/huggingface/datasets/issues/4801 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4801/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4801/comments | https://api.github.com/repos/huggingface/datasets/issues/4801/events | https://github.com/huggingface/datasets/pull/4801 | 1,331,337,418 | PR_kwDODunzps48yTYu | 4,801 | Fix fine classes in trec dataset | [] | closed | false | null | 1 | 2022-08-08T05:11:02Z | 2022-08-22T16:29:14Z | 2022-08-22T16:14:15Z | null | This PR:
- replaces the fine labels, so that there are 50 instead of 47
- once more labels are added, all they (fine and coarse) have been re-ordered, so that they align with the order in: https://cogcomp.seas.upenn.edu/Data/QA/QC/definition.html
- the feature names have been fixed: `fine_label` instead of `label-fine`
- to sneak-case (underscores instead of hyphens)
- words have been reordered
Fix #4790. | {
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] |
https://api.github.com/repos/huggingface/datasets/issues/4858 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4858/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4858/comments | https://api.github.com/repos/huggingface/datasets/issues/4858/events | https://github.com/huggingface/datasets/issues/4858 | 1,340,859,853 | I_kwDODunzps5P6-XN | 4,858 | map() function removes columns when input_columns is not None | [
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] | closed | false | null | 3 | 2022-08-16T20:42:30Z | 2022-09-22T13:55:24Z | 2022-09-22T13:55:24Z | null | ## Describe the bug
The map function, removes features from the dataset that are not present in the _input_columns_ list of columns, despite the columns being removed not mentioned in the _remove_columns_ argument.
## Steps to reproduce the bug
```python
from datasets import Dataset
ds = Dataset.from_dict({"a" : [1,2,3],"b" : [0,1,0], "c" : [2,4,5]})
def double(x,y):
x = x*2
y = y*2
return {"d" : x, "e" : y}
ds.map(double, input_columns=["a","c"])
```
## Expected results
```
Dataset({
features: ['a', 'b', 'c', 'd', 'e'],
num_rows: 3
})
```
## Actual results
```
Dataset({
features: ['a', 'c', 'd', 'e'],
num_rows: 3
})
```
In this specific example feature **b** should not be removed.
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 2.4.0
- Platform: linux (colab)
- Python version: 3.7.13
- PyArrow version: 6.0.1
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"Hi! Thanks for reporting! This looks like a bug. I've just opened a PR with the fix.",
"Awesome! Thank you. I'll close the issue once the PR gets merged. :-)",
"I guess we should reopen after the revert by:\r\n- #5006"
] |
https://api.github.com/repos/huggingface/datasets/issues/5356 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5356/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5356/comments | https://api.github.com/repos/huggingface/datasets/issues/5356/events | https://github.com/huggingface/datasets/pull/5356 | 1,494,961,609 | PR_kwDODunzps5FW-c9 | 5,356 | Clean filesystem and logging docstrings | [] | closed | false | null | 1 | 2022-12-13T18:54:09Z | 2022-12-14T17:25:58Z | 2022-12-14T17:22:16Z | null | This PR cleans the `Filesystems` and `Logging` docstrings. | {
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https://api.github.com/repos/huggingface/datasets/issues/2116 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2116/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2116/comments | https://api.github.com/repos/huggingface/datasets/issues/2116/events | https://github.com/huggingface/datasets/issues/2116 | 841,481,292 | MDU6SXNzdWU4NDE0ODEyOTI= | 2,116 | Creating custom dataset results in error while calling the map() function | [] | closed | false | null | 1 | 2021-03-26T00:37:46Z | 2021-03-31T14:30:32Z | 2021-03-31T14:30:32Z | null | calling `map()` of `datasets` library results into an error while defining a Custom dataset.
Reproducible example:
```
import datasets
class MyDataset(datasets.Dataset):
def __init__(self, sentences):
"Initialization"
self.samples = sentences
def __len__(self):
"Denotes the total number of samples"
return len(self.samples)
def __getitem__(self, index):
"Generates one sample of data"
# Select sample
# Load data and get label
samples = self.samples[index]
return samples
def preprocess_function_train(examples):
inputs = examples
labels = [example+tokenizer.eos_token for example in examples ]
inputs = tokenizer(inputs, max_length=30, padding=True, truncation=True)
labels = tokenizer(labels, max_length=30, padding=True, truncation=True)
model_inputs = inputs
model_inputs["labels"] = labels["input_ids"]
print("about to return")
return model_inputs
##train["sentence"] is dataframe column
train_dataset = MyDataset(train['sentence'].values.tolist())
train_dataset = train_dataset.map(
preprocess_function,
batched = True,
batch_size=32
)
```
Stack trace of error:
```
Traceback (most recent call last):
File "dir/train_generate.py", line 362, in <module>
main()
File "dir/train_generate.py", line 245, in main
train_dataset = train_dataset.map(
File "anaconda_dir/anaconda3/envs/env1/lib/python3.8/site-packages/datasets/arrow_dataset.py", line 1244, in map
return self._map_single(
File "anaconda_dir/anaconda3/envs/env1/lib/python3.8/site-packages/datasets/arrow_dataset.py", line 149, in wrapper
unformatted_columns = set(self.column_names) - set(self._format_columns or [])
File "anaconda_dir/anaconda3/envs/env1/lib/python3.8/site-packages/datasets/arrow_dataset.py", line 526, in column_names
return self._data.column_names
AttributeError: 'MyDataset' object has no attribute '_data'
``` | {
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} | https://api.github.com/repos/huggingface/datasets/issues/2116/timeline | null | completed | null | null | false | [
"Hi,\r\n\r\nthe `_data` attribute is missing due to `MyDataset.__init__` not calling the parent `__init__`. However, I don't think it's a good idea to subclass the `datasets.Dataset` class (e.g. it's kind of dangerous to override `datasets.Dataset.__getitem__`). Instead, it's better to follow the \"association over... |
https://api.github.com/repos/huggingface/datasets/issues/2078 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2078/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2078/comments | https://api.github.com/repos/huggingface/datasets/issues/2078/events | https://github.com/huggingface/datasets/issues/2078 | 834,694,819 | MDU6SXNzdWU4MzQ2OTQ4MTk= | 2,078 | MemoryError when computing WER metric | [
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] | closed | false | null | 11 | 2021-03-18T11:30:05Z | 2021-05-01T08:31:49Z | 2021-04-06T07:20:43Z | null | Hi, I'm trying to follow the ASR example to try Wav2Vec. This is the code that I use for WER calculation:
```
wer = load_metric("wer")
print(wer.compute(predictions=result["predicted"], references=result["target"]))
```
However, I receive the following exception:
`Traceback (most recent call last):
File "/home/diego/IpGlobal/wav2vec/test_wav2vec.py", line 51, in <module>
print(wer.compute(predictions=result["predicted"], references=result["target"]))
File "/home/diego/miniconda3/envs/wav2vec3.6/lib/python3.6/site-packages/datasets/metric.py", line 403, in compute
output = self._compute(predictions=predictions, references=references, **kwargs)
File "/home/diego/.cache/huggingface/modules/datasets_modules/metrics/wer/73b2d32b723b7fb8f204d785c00980ae4d937f12a65466f8fdf78706e2951281/wer.py", line 94, in _compute
return wer(references, predictions)
File "/home/diego/miniconda3/envs/wav2vec3.6/lib/python3.6/site-packages/jiwer/measures.py", line 81, in wer
truth, hypothesis, truth_transform, hypothesis_transform, **kwargs
File "/home/diego/miniconda3/envs/wav2vec3.6/lib/python3.6/site-packages/jiwer/measures.py", line 192, in compute_measures
H, S, D, I = _get_operation_counts(truth, hypothesis)
File "/home/diego/miniconda3/envs/wav2vec3.6/lib/python3.6/site-packages/jiwer/measures.py", line 273, in _get_operation_counts
editops = Levenshtein.editops(source_string, destination_string)
MemoryError`
My system has more than 10GB of available RAM. Looking at the code, I think that it could be related to the way jiwer does the calculation, as it is pasting all the sentences in a single string before calling Levenshtein editops function.
| {
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"Hi ! Thanks for reporting.\r\nWe're indeed using `jiwer` to compute the WER.\r\n\r\nMaybe instead of calling `jiwer.wer` once for all the preditions/references we can compute the WER iteratively to avoid memory issues ? I'm not too familial with `jiwer` but this must be possible.\r\n\r\nCurrently the code to compu... |
https://api.github.com/repos/huggingface/datasets/issues/3528 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3528/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3528/comments | https://api.github.com/repos/huggingface/datasets/issues/3528/events | https://github.com/huggingface/datasets/pull/3528 | 1,093,844,616 | PR_kwDODunzps4wiOqH | 3,528 | Update README.md | [] | closed | false | null | 0 | 2022-01-04T23:48:11Z | 2022-01-05T12:49:41Z | 2022-01-05T12:49:40Z | null | Updating license with appropriate capitalization & a link.
Updating Personal and Sensitive Information to address PII concern. | {
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https://api.github.com/repos/huggingface/datasets/issues/6040 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6040/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6040/comments | https://api.github.com/repos/huggingface/datasets/issues/6040/events | https://github.com/huggingface/datasets/pull/6040 | 1,807,410,238 | PR_kwDODunzps5VptVf | 6,040 | Fix legacy_dataset_infos | [] | closed | false | null | 3 | 2023-07-17T09:56:21Z | 2023-07-17T10:24:34Z | 2023-07-17T10:16:03Z | null | was causing transformers CI to fail
https://circleci.com/gh/huggingface/transformers/855105 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... |
https://api.github.com/repos/huggingface/datasets/issues/2855 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2855/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2855/comments | https://api.github.com/repos/huggingface/datasets/issues/2855/events | https://github.com/huggingface/datasets/pull/2855 | 983,858,229 | MDExOlB1bGxSZXF1ZXN0NzIzMzcxMTIy | 2,855 | Fix windows CI CondaError | [] | closed | false | null | 0 | 2021-08-31T13:22:02Z | 2021-08-31T13:35:34Z | 2021-08-31T13:35:33Z | null | From this thread: https://github.com/conda/conda/issues/6057
We can fix the conda error
```
CondaError: Cannot link a source that does not exist.
C:\Users\...\Anaconda3\Scripts\conda.exe
```
by doing
```bash
conda update conda
```
before doing any install in the windows CI | {
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https://api.github.com/repos/huggingface/datasets/issues/261 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/261/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/261/comments | https://api.github.com/repos/huggingface/datasets/issues/261/events | https://github.com/huggingface/datasets/issues/261 | 636,372,380 | MDU6SXNzdWU2MzYzNzIzODA= | 261 | Downloading dataset error with pyarrow.lib.RecordBatch | [] | closed | false | null | 2 | 2020-06-10T16:04:19Z | 2020-06-11T14:35:12Z | 2020-06-11T14:35:12Z | null | I am trying to download `sentiment140` and I have the following error
```
/usr/local/lib/python3.6/dist-packages/nlp/load.py in load_dataset(path, name, version, data_dir, data_files, split, cache_dir, download_config, download_mode, ignore_verifications, save_infos, **config_kwargs)
518 download_mode=download_mode,
519 ignore_verifications=ignore_verifications,
--> 520 save_infos=save_infos,
521 )
522
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, save_infos, try_from_hf_gcs, dl_manager, **download_and_prepare_kwargs)
418 verify_infos = not save_infos and not ignore_verifications
419 self._download_and_prepare(
--> 420 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
421 )
422 # Sync info
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in _download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)
472 try:
473 # Prepare split will record examples associated to the split
--> 474 self._prepare_split(split_generator, **prepare_split_kwargs)
475 except OSError:
476 raise OSError("Cannot find data file. " + (self.MANUAL_DOWNLOAD_INSTRUCTIONS or ""))
/usr/local/lib/python3.6/dist-packages/nlp/builder.py in _prepare_split(self, split_generator)
652 for key, record in utils.tqdm(generator, unit=" examples", total=split_info.num_examples, leave=False):
653 example = self.info.features.encode_example(record)
--> 654 writer.write(example)
655 num_examples, num_bytes = writer.finalize()
656
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in write(self, example, writer_batch_size)
143 self._build_writer(pa_table=pa.Table.from_pydict(example))
144 if writer_batch_size is not None and len(self.current_rows) >= writer_batch_size:
--> 145 self.write_on_file()
146
147 def write_batch(
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in write_on_file(self)
127 else:
128 # All good
--> 129 self._write_array_on_file(pa_array)
130 self.current_rows = []
131
/usr/local/lib/python3.6/dist-packages/nlp/arrow_writer.py in _write_array_on_file(self, pa_array)
96 def _write_array_on_file(self, pa_array):
97 """Write a PyArrow Array"""
---> 98 pa_batch = pa.RecordBatch.from_struct_array(pa_array)
99 self._num_bytes += pa_array.nbytes
100 self.pa_writer.write_batch(pa_batch)
AttributeError: type object 'pyarrow.lib.RecordBatch' has no attribute 'from_struct_array'
```
I installed the last version and ran the following command:
```python
import nlp
sentiment140 = nlp.load_dataset('sentiment140', cache_dir='/content')
``` | {
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"When you install `nlp` for the first time on a Colab runtime, it updates the `pyarrow` library that was already on colab. This update shows this message on colab:\r\n```\r\nWARNING: The following packages were previously imported in this runtime:\r\n [pyarrow]\r\nYou must restart the runtime in order to use newly... |
https://api.github.com/repos/huggingface/datasets/issues/3035 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3035/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3035/comments | https://api.github.com/repos/huggingface/datasets/issues/3035/events | https://github.com/huggingface/datasets/issues/3035 | 1,016,770,071 | I_kwDODunzps48mq4X | 3,035 | `load_dataset` does not work with uploaded arrow file | [
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"name": "enhancement",
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
"url": "https://api.github.com/repos/huggingface/datasets/labels/enhancement"
}
] | open | false | null | 2 | 2021-10-05T20:15:10Z | 2021-10-06T17:01:37Z | null | null | ## Describe the bug
I've preprocessed and uploaded a dataset here: https://huggingface.co/datasets/ami-wav2vec2/ami_headset_single_preprocessed . The dataset is in `.arrow` format.
The dataset can correctly be loaded when doing:
```bash
git lfs install
git clone https://huggingface.co/datasets/ami-wav2vec2/ami_headset_single_preprocessed
```
followed by
```python
from datasets import load_from_disk
ds = load_from_disk("./ami_headset_single_preprocessed")
```
However when I try to directly download the dataset as follows:
```python
from datasets import load_dataset
ds = load_dataset("ami-wav2vec2/ami_headset_single_preprocessed")
```
the following error occurs:
```bash
/usr/local/lib/python3.7/dist-packages/datasets/load.py in load_dataset(path, name, data_dir, data_files, split, cache_dir, features, download_config, download_mode, ignore_verifications, keep_in_memory, save_infos, script_version, use_auth_token, task, streaming, **config_kwargs)
1115 ignore_verifications=ignore_verifications,
1116 try_from_hf_gcs=try_from_hf_gcs,
-> 1117 use_auth_token=use_auth_token,
1118 )
1119
/usr/local/lib/python3.7/dist-packages/datasets/builder.py in download_and_prepare(self, download_config, download_mode, ignore_verifications, try_from_hf_gcs, dl_manager, base_path, use_auth_token, **download_and_prepare_kwargs)
635 if not downloaded_from_gcs:
636 self._download_and_prepare(
--> 637 dl_manager=dl_manager, verify_infos=verify_infos, **download_and_prepare_kwargs
638 )
639 # Sync info
/usr/local/lib/python3.7/dist-packages/datasets/builder.py in _download_and_prepare(self, dl_manager, verify_infos, **prepare_split_kwargs)
724 try:
725 # Prepare split will record examples associated to the split
--> 726 self._prepare_split(split_generator, **prepare_split_kwargs)
727 except OSError as e:
728 raise OSError(
/usr/local/lib/python3.7/dist-packages/datasets/builder.py in _prepare_split(self, split_generator)
1186 generator, unit=" tables", leave=False, disable=bool(logging.get_verbosity() == logging.NOTSET)
1187 ):
-> 1188 writer.write_table(table)
1189 num_examples, num_bytes = writer.finalize()
1190
/usr/local/lib/python3.7/dist-packages/datasets/arrow_writer.py in write_table(self, pa_table, writer_batch_size)
424 # reorder the arrays if necessary + cast to self._schema
425 # we can't simply use .cast here because we may need to change the order of the columns
--> 426 pa_table = pa.Table.from_arrays([pa_table[name] for name in self._schema.names], schema=self._schema)
427 batches: List[pa.RecordBatch] = pa_table.to_batches(max_chunksize=writer_batch_size)
428 self._num_bytes += sum(batch.nbytes for batch in batches)
/usr/local/lib/python3.7/dist-packages/pyarrow/table.pxi in pyarrow.lib.Table.from_arrays()
/usr/local/lib/python3.7/dist-packages/pyarrow/table.pxi in pyarrow.lib._sanitize_arrays()
/usr/local/lib/python3.7/dist-packages/pyarrow/array.pxi in pyarrow.lib.asarray()
/usr/local/lib/python3.7/dist-packages/pyarrow/table.pxi in pyarrow.lib.ChunkedArray.cast()
/usr/local/lib/python3.7/dist-packages/pyarrow/compute.py in cast(arr, target_type, safe)
279 else:
280 options = CastOptions.unsafe(target_type)
--> 281 return call_function("cast", [arr], options)
282
283
/usr/local/lib/python3.7/dist-packages/pyarrow/_compute.pyx in pyarrow._compute.call_function()
/usr/local/lib/python3.7/dist-packages/pyarrow/_compute.pyx in pyarrow._compute.Function.call()
/usr/local/lib/python3.7/dist-packages/pyarrow/error.pxi in pyarrow.lib.pyarrow_internal_check_status()
/usr/local/lib/python3.7/dist-packages/pyarrow/error.pxi in pyarrow.lib.check_status()
ArrowNotImplementedError: Unsupported cast from struct<train: struct<name: string, num_bytes: int64, num_examples: int64, dataset_name: string>, validation: struct<name: string, num_bytes: int64, num_examples: int64, dataset_name: string>, test: struct<name: string, num_bytes: int64, num_examples: int64, dataset_name: string>> to list using function cast_list
```
## Expected results
The dataset should be correctly loaded with `load_dataset` IMO.
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.12.2.dev0
- Platform: Linux-5.11.0-34-generic-x86_64-with-glibc2.10
- Python version: 3.8.5
- PyArrow version: 5.0.0
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"Hi ! This is not a bug, this is simply not implemented.\r\n`save_to_disk` is for on-disk serialization and was not made compatible for the Hub.\r\nThat being said, I agree we actually should make it work with the Hub x)",
"cc @LysandreJik maybe we can solve this at the same time as adding `push_to_hub`"
] |
https://api.github.com/repos/huggingface/datasets/issues/1864 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1864/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1864/comments | https://api.github.com/repos/huggingface/datasets/issues/1864/events | https://github.com/huggingface/datasets/issues/1864 | 806,172,843 | MDU6SXNzdWU4MDYxNzI4NDM= | 1,864 | Add Winogender Schemas | [
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}
] | closed | false | null | 1 | 2021-02-11T08:18:38Z | 2021-02-11T08:19:51Z | 2021-02-11T08:19:51Z | null | ## Adding a Dataset
- **Name:** Winogender Schemas
- **Description:** Winogender Schemas (inspired by Winograd Schemas) are minimal pairs of sentences that differ only by the gender of one pronoun in the sentence, designed to test for the presence of gender bias in automated coreference resolution systems.
- **Paper:** https://arxiv.org/abs/1804.09301
- **Data:** https://github.com/rudinger/winogender-schemas (see data directory)
- **Motivation:** Testing gender bias in automated coreference resolution systems, improve coreference resolution in general.
Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).
| {
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} | https://api.github.com/repos/huggingface/datasets/issues/1864/timeline | null | completed | null | null | false | [
"Nevermind, this one is already available on the hub under the name `'wino_bias'`: https://huggingface.co/datasets/wino_bias"
] |
https://api.github.com/repos/huggingface/datasets/issues/5006 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5006/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5006/comments | https://api.github.com/repos/huggingface/datasets/issues/5006/events | https://github.com/huggingface/datasets/pull/5006 | 1,380,968,395 | PR_kwDODunzps4_Wm8z | 5,006 | Revert input_columns change | [] | closed | false | null | 2 | 2022-09-21T13:49:20Z | 2022-09-21T14:14:33Z | 2022-09-21T14:11:57Z | null | Revert https://github.com/huggingface/datasets/pull/4971
Fix https://github.com/huggingface/datasets/issues/5005 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"Merging this one and I'll check if it fixes the `transformers` CI before doing a patch release"
] |
https://api.github.com/repos/huggingface/datasets/issues/485 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/485/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/485/comments | https://api.github.com/repos/huggingface/datasets/issues/485/events | https://github.com/huggingface/datasets/issues/485 | 675,595,393 | MDU6SXNzdWU2NzU1OTUzOTM= | 485 | PAWS dataset first item is header | [] | closed | false | null | 0 | 2020-08-08T22:05:25Z | 2020-08-19T09:50:01Z | 2020-08-19T09:50:01Z | null | ```
import nlp
dataset = nlp.load_dataset('xtreme', 'PAWS-X.en')
dataset['test'][0]
```
prints the following
```
{'label': 'label', 'sentence1': 'sentence1', 'sentence2': 'sentence2'}
```
dataset['test'][0] should probably be the first item in the dataset, not just a dictionary mapping the column names to themselves. Probably just need to ignore the first row in the dataset by default or something like that. | {
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https://api.github.com/repos/huggingface/datasets/issues/2299 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2299/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2299/comments | https://api.github.com/repos/huggingface/datasets/issues/2299/events | https://github.com/huggingface/datasets/issues/2299 | 873,914,717 | MDU6SXNzdWU4NzM5MTQ3MTc= | 2,299 | My iPhone | [] | closed | false | null | 0 | 2021-05-02T11:11:11Z | 2021-07-23T09:24:16Z | 2021-05-03T08:17:38Z | null | ## Adding a Dataset
- **Name:** *name of the dataset*
- **Description:** *short description of the dataset (or link to social media or blog post)*
- **Paper:** *link to the dataset paper if available*
- **Data:** *link to the Github repository or current dataset location*
- **Motivation:** *what are some good reasons to have this dataset*
Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md). | {
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https://api.github.com/repos/huggingface/datasets/issues/2365 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2365/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2365/comments | https://api.github.com/repos/huggingface/datasets/issues/2365/events | https://github.com/huggingface/datasets/issues/2365 | 893,179,697 | MDU6SXNzdWU4OTMxNzk2OTc= | 2,365 | Missing ClassLabel encoding in Json loader | [
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} | 0 | 2021-05-17T10:19:10Z | 2021-06-28T15:05:34Z | 2021-06-28T15:05:34Z | null | Currently if you want to load a json dataset this way
```python
dataset = load_dataset("json", data_files=data_files, features=features)
```
Then if your features has ClassLabel types and if your json data needs class label encoding (i.e. if the labels in the json files are strings and not integers), then it would fail:
```python
[...]
~/Desktop/hf/datasets/src/datasets/packaged_modules/json/json.py in _generate_tables(self, files)
94 if self.config.schema:
95 # Cast allows str <-> int/float, while parse_option explicit_schema does NOT
---> 96 pa_table = pa_table.cast(self.config.schema)
97 yield i, pa_table
[...]
ArrowInvalid: Failed to parse string: 'O' as a scalar of type int64
```
This is because it just tries to cast the string data to integers, without applying the mapping str->int first
The current workaround is to do instead
```python
dataset = load_dataset("json", data_files=data_files)
dataset = dataset.map(features.encode_example, features=features)
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/4885 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4885/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4885/comments | https://api.github.com/repos/huggingface/datasets/issues/4885/events | https://github.com/huggingface/datasets/issues/4885 | 1,349,181,448 | I_kwDODunzps5QauAI | 4,885 | Create dataset from list of dicts | [
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] | closed | false | null | 3 | 2022-08-24T10:01:24Z | 2022-09-08T16:02:52Z | 2022-09-08T16:02:52Z | null | I often find myself with data from a variety of sources, and a list of dicts is very common among these.
However, converting this to a Dataset is a little awkward, requiring either
```Dataset.from_pandas(pd.DataFrame(formatted_training_data))```
Which can error out on some more exotic values as 2-d arrays for reasons that are not entirely clear
> ArrowInvalid: ('Can only convert 1-dimensional array values', 'Conversion failed for column labels with type object')
Alternatively:
```Dataset.from_dict({k: [s[k] for s in formatted_training_data] for k in formatted_training_data[0].keys()})```
Which works, but is a little ugly.
**Describe the solution you'd like**
Either `.from_dict` accepting a list of dicts, or a `.from_records` function accepting such.
I am happy to PR this, just wanted to check you are happy to accept this I haven't missed something obvious, and which of the solutions would be prefered.
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"Hi @sanderland, thanks for your enhancement proposal.\r\n\r\nI agree with you that this would be useful.\r\n\r\nPlease note that under the hood, we use PyArrow tables as backend:\r\n- The implementation of `Dataset.from_dict` uses the PyArrow `Table.from_pydict`\r\n\r\nTherefore, I would suggest:\r\n- Implementin... |
https://api.github.com/repos/huggingface/datasets/issues/2657 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2657/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2657/comments | https://api.github.com/repos/huggingface/datasets/issues/2657/events | https://github.com/huggingface/datasets/issues/2657 | 945,822,829 | MDU6SXNzdWU5NDU4MjI4Mjk= | 2,657 | `to_json` reporting enhancements | [
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] | open | false | null | 0 | 2021-07-15T23:32:18Z | 2021-07-15T23:33:53Z | null | null | While using `to_json` 2 things came to mind that would have made the experience easier on the user:
1. Could we have a `desc` arg for the tqdm use and a fallback to just `to_json` so that it'd be clear to the user what's happening? Surely, one can just print the description before calling json, but I thought perhaps it'd help to have it self-identify like you did for other progress bars recently.
2. It took me a while to make sense of the reported numbers:
```
22%|██▏ | 1536/7076 [12:30:57<44:09:42, 28.70s/it]
```
So iteration here happens to be 10K samples, and the total is 70M records. But the user does't know that, so the progress bar is perfect, but the numbers it reports are meaningless until one discovers that 1it=10K samples. And one still has to convert these in the head - so it's not quick. Not exactly sure what's the best way to approach this, perhaps it can be part of `desc`? or report M or K, so it'd be built-in if it were to print, e.g.:
```
22%|██▏ | 15360K/70760K [12:30:57<44:09:42, 28.70s/it]
```
or
```
22%|██▏ | 15.36M/70.76M [12:30:57<44:09:42, 28.70s/it]
```
(while of course remaining friendly to small datasets)
I forget if tqdm lets you add a magnitude identifier to the running count.
Thank you! | {
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https://api.github.com/repos/huggingface/datasets/issues/4892 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4892/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4892/comments | https://api.github.com/repos/huggingface/datasets/issues/4892/events | https://github.com/huggingface/datasets/pull/4892 | 1,350,636,499 | PR_kwDODunzps49yCD3 | 4,892 | Add citation to ro_sts and ro_sts_parallel datasets | [] | closed | false | null | 1 | 2022-08-25T09:51:06Z | 2022-08-25T10:49:56Z | 2022-08-25T10:49:56Z | null | This PR adds the citation information to `ro_sts_parallel` and `ro_sts_parallel` datasets, once they have replied our request for that information:
- https://github.com/dumitrescustefan/RO-STS/issues/4 | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_4892). All of your documentation changes will be reflected on that endpoint."
] |
https://api.github.com/repos/huggingface/datasets/issues/1921 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1921/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1921/comments | https://api.github.com/repos/huggingface/datasets/issues/1921/events | https://github.com/huggingface/datasets/pull/1921 | 812,716,042 | MDExOlB1bGxSZXF1ZXN0NTc3MDEzMDM4 | 1,921 | Standardizing datasets dtypes | [] | closed | false | null | 1 | 2021-02-20T22:04:01Z | 2021-02-22T09:44:10Z | 2021-02-22T09:44:10Z | null | This PR follows up on discussion in #1900 to have an explicit set of basic dtypes for datasets.
This moves away from str(pyarrow.DataType) as the method of choice for creating dtypes, favoring an explicit mapping to a list of supported Value dtypes.
I believe in practice this should be backward compatible, since anyone previously using Value() would only have been able to use dtypes that had an identically named pyarrow factory function, which are all explicitly supported here, with `float32` and `float64` acting as the official datasets dtypes, which resolves the tension between `double` being the pyarrow dtype and `float64` being the pyarrow type factory function. | {
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"@lhoestq - apologies for the multiple PRs, my previous one (#1905) got mangled due to some merge conflicts that I had trouble resolving so I just cherry-picked my changes onto a fresh branch here."
] |
https://api.github.com/repos/huggingface/datasets/issues/5843 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5843/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5843/comments | https://api.github.com/repos/huggingface/datasets/issues/5843/events | https://github.com/huggingface/datasets/issues/5843 | 1,705,514,551 | I_kwDODunzps5lqBY3 | 5,843 | Can't add iterable datasets to a Dataset Dict. | [] | closed | false | null | 2 | 2023-05-11T02:09:29Z | 2023-05-25T04:51:59Z | 2023-05-25T04:51:59Z | null | ### System Info
standard env
### Who can help?
_No response_
### Information
- [ ] The official example scripts
- [X] My own modified scripts
### Tasks
- [ ] An officially supported task in the `examples` folder (such as GLUE/SQuAD, ...)
- [ ] My own task or dataset (give details below)
### Reproduction
Get the following error:
TypeError: Values in `DatasetDict` should be of type `Dataset` but got type '<class 'datasets.iterable_dataset.IterableDataset'>'
### Expected behavior
should be able to add iterable datasets to a dataset dict | {
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"Transferring as this is relating to the 🤗 Datasets library",
"You need to use `IterableDatasetDict` instead of `DatasetDict` for iterable datasets."
] |
https://api.github.com/repos/huggingface/datasets/issues/4620 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4620/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4620/comments | https://api.github.com/repos/huggingface/datasets/issues/4620/events | https://github.com/huggingface/datasets/issues/4620 | 1,292,797,878 | I_kwDODunzps5NDoe2 | 4,620 | Data type is not recognized when using datetime.time | [
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] | closed | false | null | 2 | 2022-07-04T08:13:38Z | 2022-07-07T13:57:11Z | 2022-07-07T13:57:11Z | null | ## Describe the bug
Creating a dataset from a pandas dataframe with `datetime.time` format generates an error.
## Steps to reproduce the bug
```python
import pandas as pd
from datetime import time
from datasets import Dataset
df = pd.DataFrame({"feature_name": [time(1, 1, 1)]})
dataset = Dataset.from_pandas(df)
```
## Expected results
The dataset should be created.
## Actual results
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/slesage/hf/datasets-server/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_dataset.py", line 823, in from_pandas
return cls(table, info=info, split=split)
File "/home/slesage/hf/datasets-server/services/worker/.venv/lib/python3.9/site-packages/datasets/arrow_dataset.py", line 679, in __init__
inferred_features = Features.from_arrow_schema(arrow_table.schema)
File "/home/slesage/hf/datasets-server/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1551, in from_arrow_schema
obj = {field.name: generate_from_arrow_type(field.type) for field in pa_schema}
File "/home/slesage/hf/datasets-server/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1551, in <dictcomp>
obj = {field.name: generate_from_arrow_type(field.type) for field in pa_schema}
File "/home/slesage/hf/datasets-server/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 1315, in generate_from_arrow_type
return Value(dtype=_arrow_to_datasets_dtype(pa_type))
File "/home/slesage/hf/datasets-server/services/worker/.venv/lib/python3.9/site-packages/datasets/features/features.py", line 83, in _arrow_to_datasets_dtype
return f"time64[{arrow_type.unit}]"
AttributeError: 'pyarrow.lib.DataType' object has no attribute 'unit'
```
## Environment info
- `datasets` version: 2.3.3.dev0
- Platform: Linux-5.13.0-1031-aws-x86_64-with-glibc2.31
- Python version: 3.9.6
- PyArrow version: 7.0.0
- Pandas version: 1.4.2 | {
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"Hi, thanks for reporting! I'm investigating the issue."
] |
https://api.github.com/repos/huggingface/datasets/issues/1578 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1578/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1578/comments | https://api.github.com/repos/huggingface/datasets/issues/1578/events | https://github.com/huggingface/datasets/pull/1578 | 767,760,513 | MDExOlB1bGxSZXF1ZXN0NTQwMzY1NzYz | 1,578 | update multiwozv22 checksums | [] | closed | false | null | 0 | 2020-12-15T16:13:52Z | 2020-12-15T17:06:29Z | 2020-12-15T17:06:29Z | null | a file was updated on the GitHub repo for the dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/1030 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1030/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1030/comments | https://api.github.com/repos/huggingface/datasets/issues/1030/events | https://github.com/huggingface/datasets/pull/1030 | 755,777,438 | MDExOlB1bGxSZXF1ZXN0NTMxNDI0MDM3 | 1,030 | allegro_reviews dataset | [] | closed | false | null | 0 | 2020-12-03T03:11:39Z | 2020-12-04T10:56:29Z | 2020-12-03T16:34:47Z | null | - **Name:** *allegro_reviews*
- **Description:** *Allegro Reviews is a sentiment analysis dataset, consisting of 11,588 product reviews written in Polish and extracted from Allegro.pl - a popular e-commerce marketplace. Each review contains at least 50 words and has a rating on a scale from one (negative review) to five (positive review).*
- **Data:** *https://github.com/allegro/klejbenchmark-allegroreviews*
- **Motivation:** *The KLEJ benchmark (Kompleksowa Lista Ewaluacji Językowych) is a set of nine evaluation tasks for the Polish language understanding.* | {
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https://api.github.com/repos/huggingface/datasets/issues/1477 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1477/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1477/comments | https://api.github.com/repos/huggingface/datasets/issues/1477/events | https://github.com/huggingface/datasets/pull/1477 | 762,288,811 | MDExOlB1bGxSZXF1ZXN0NTM2ODQ5NzM4 | 1,477 | Jigsaw toxicity pred | [] | closed | false | null | 0 | 2020-12-11T12:13:20Z | 2020-12-14T13:19:35Z | 2020-12-14T13:19:35Z | null | Managed to mess up my original pull request, opening a fresh one incorporating the changes suggested by @lhoestq. | {
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https://api.github.com/repos/huggingface/datasets/issues/5771 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5771/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5771/comments | https://api.github.com/repos/huggingface/datasets/issues/5771/events | https://github.com/huggingface/datasets/issues/5771 | 1,674,828,380 | I_kwDODunzps5j09pc | 5,771 | Support cloud storage for loading datasets | [
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... | closed | false | null | 1 | 2023-04-19T12:43:53Z | 2023-05-07T17:47:41Z | 2023-05-07T17:47:41Z | null | ### Feature request
It seems that the the current implementation supports cloud storage only for `load_from_disk`. It would be nice if a similar functionality existed in `load_dataset`.
### Motivation
Motivation is pretty clear -- let users work with datasets located in the cloud.
### Your contribution
I can help implementing this. | {
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"A duplicate of https://github.com/huggingface/datasets/issues/5281"
] |
https://api.github.com/repos/huggingface/datasets/issues/5241 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5241/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5241/comments | https://api.github.com/repos/huggingface/datasets/issues/5241/events | https://github.com/huggingface/datasets/pull/5241 | 1,448,510,407 | PR_kwDODunzps5C3MTG | 5,241 | Support hfh rc version | [] | closed | false | null | 1 | 2022-11-14T18:05:47Z | 2022-11-15T16:11:30Z | 2022-11-15T16:09:31Z | null | otherwise the code doesn't work for hfh 0.11.0rc0
following #5237 | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] |
https://api.github.com/repos/huggingface/datasets/issues/5390 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5390/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5390/comments | https://api.github.com/repos/huggingface/datasets/issues/5390/events | https://github.com/huggingface/datasets/issues/5390 | 1,509,357,553 | I_kwDODunzps5Z9vfx | 5,390 | Error when pushing to the CI hub | [] | closed | false | null | 5 | 2022-12-23T13:36:37Z | 2022-12-23T20:29:02Z | 2022-12-23T20:29:02Z | 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%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 1/1 [00:01<00:00, 1.93s/it]
Traceback (most recent call last):
File "reproduce_hubci.py", line 16, in <module>
dataset.push_to_hub(repo_id=repo_id, private=False, token=USER_TOKEN, embed_external_files=True)
File "/home/slesage/hf/datasets/src/datasets/arrow_dataset.py", line 5025, in push_to_hub
HfApi(endpoint=config.HF_ENDPOINT).upload_file(
File "/home/slesage/.pyenv/versions/datasets/lib/python3.8/site-packages/huggingface_hub/hf_api.py", line 1346, in upload_file
raise err
File "/home/slesage/.pyenv/versions/datasets/lib/python3.8/site-packages/huggingface_hub/hf_api.py", line 1337, in upload_file
r.raise_for_status()
File "/home/slesage/.pyenv/versions/datasets/lib/python3.8/site-packages/requests/models.py", line 953, in raise_for_status
raise HTTPError(http_error_msg, response=self)
requests.exceptions.HTTPError: 400 Client Error: Bad Request for url: https://hub-ci.huggingface.co/api/datasets/__DUMMY_DATASETS_SERVER_USER__/bug-16718047265472/upload/main/README.md
```
### Steps to reproduce the bug
```python
# reproduce.py
from datasets import Dataset
import time
USER = "__DUMMY_DATASETS_SERVER_USER__"
USER_TOKEN = "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"
dataset = Dataset.from_dict({"a": [1, 2, 3]})
repo_id = f"{USER}/bug-{int(time.time() * 10e3)}"
dataset.push_to_hub(repo_id=repo_id, private=False, token=USER_TOKEN, embed_external_files=True)
```
```bash
$ HF_ENDPOINT="https://hub-ci.huggingface.co" python reproduce.py
```
### Expected behavior
No error and the dataset should be uploaded to the Hub with the README file (which generates the error).
### Environment info
- `datasets` version: 2.8.0
- Platform: Linux-5.15.0-1026-aws-x86_64-with-glibc2.35
- Python version: 3.9.15
- PyArrow version: 7.0.0
- Pandas version: 1.5.2
| {
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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... |
https://api.github.com/repos/huggingface/datasets/issues/5311 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5311/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5311/comments | https://api.github.com/repos/huggingface/datasets/issues/5311/events | https://github.com/huggingface/datasets/pull/5311 | 1,467,875,153 | PR_kwDODunzps5D4Mm3 | 5,311 | Add `features` param to `IterableDataset.map` | [] | closed | false | null | 1 | 2022-11-29T11:08:34Z | 2022-12-06T15:45:02Z | 2022-12-06T15:42:04Z | null | ## Description
As suggested by @lhoestq in #3888, we should be adding the param `features` to `IterableDataset.map` so that the features can be preserved (not turned into `None` as that's the default behavior) whenever the user passes those as param, so as to be consistent with `Dataset.map`, as it provides the `features` param so that those are not inferred by default, but specified by the user, and later validated by `ArrowWriter`.
This is internally handled already by the functions relying on `IterableDataset.map` such as `rename_column`, `rename_columns`, and `remove_columns` as described in #5287.
## Usage Example
```python
from datasets import load_dataset, Features
ds = load_dataset("rotten_tomatoes", split="validation", streaming=True)
print(ds.info.features)
ds = ds.map(
lambda x: {"target": x["label"]},
features=Features(
{"target": ds.info.features["label"], "label": ds.info.features["label"], "text": ds.info.features["text"]}
),
)
print(ds.info.features)
``` | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] |
https://api.github.com/repos/huggingface/datasets/issues/2667 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2667/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2667/comments | https://api.github.com/repos/huggingface/datasets/issues/2667/events | https://github.com/huggingface/datasets/pull/2667 | 946,861,908 | MDExOlB1bGxSZXF1ZXN0NjkxOTYwNzc3 | 2,667 | Use tqdm from tqdm_utils | [] | closed | false | null | 2 | 2021-07-17T17:06:35Z | 2021-07-19T17:39:10Z | 2021-07-19T17:32:00Z | null | This PR replaces `tqdm` from the `tqdm` lib with `tqdm` from `datasets.utils.tqdm_utils`. With this change, it's possible to disable progress bars just by calling `disable_progress_bar`. Note this doesn't work on Windows when using multiprocessing due to how global variables are shared between processes. Currently, there is no easy way to disable progress bars in a multiprocess setting on Windows (patching logging with `datasets.utils.logging.get_verbosity = lambda: datasets.utils.logging.NOTSET` doesn't seem to work as well), so adding support for this is a future goal. Additionally, this PR adds a unit ("ba" for batches) to the bar printed by `Dataset.to_json` (this change is motivated by https://github.com/huggingface/datasets/issues/2657). | {
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"The current CI failure is due to modifications in the dataset script.",
"Merging since the CI is only failing because of dataset card issues, which is unrelated to this PR"
] |
https://api.github.com/repos/huggingface/datasets/issues/774 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/774/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/774/comments | https://api.github.com/repos/huggingface/datasets/issues/774/events | https://github.com/huggingface/datasets/pull/774 | 732,265,741 | MDExOlB1bGxSZXF1ZXN0NTEyMjM0NjA0 | 774 | [ROUGE] Add description to Rouge metric | [] | closed | false | null | 0 | 2020-10-29T12:19:32Z | 2020-10-29T17:55:50Z | 2020-10-29T17:55:48Z | null | Add information about case sensitivity to ROUGE. | {
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https://api.github.com/repos/huggingface/datasets/issues/1326 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1326/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1326/comments | https://api.github.com/repos/huggingface/datasets/issues/1326/events | https://github.com/huggingface/datasets/pull/1326 | 759,611,784 | MDExOlB1bGxSZXF1ZXN0NTM0NTg2ODY4 | 1,326 | TEP: Tehran English-Persian parallel corpus | [] | closed | false | null | 0 | 2020-12-08T16:56:53Z | 2020-12-19T14:55:03Z | 2020-12-10T11:25:17Z | null | TEP: Tehran English-Persian parallel corpus
more info : http://opus.nlpl.eu/TEP.php | {
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https://api.github.com/repos/huggingface/datasets/issues/2509 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2509/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2509/comments | https://api.github.com/repos/huggingface/datasets/issues/2509/events | https://github.com/huggingface/datasets/pull/2509 | 922,846,035 | MDExOlB1bGxSZXF1ZXN0NjcxNjcyMzU5 | 2,509 | Fix fingerprint when moving cache dir | [] | closed | false | null | 4 | 2021-06-16T16:45:09Z | 2021-06-21T15:05:04Z | 2021-06-21T15:05:03Z | null | The fingerprint of a dataset changes if the cache directory is moved.
I fixed that by setting the fingerprint to be the hash of:
- the relative cache dir (dataset_name/version/config_id)
- the requested split
Close #2496
I had to fix an issue with the filelock filename that was too long (>255). It prevented the tests to run on my machine. I just added `hash_filename_if_too_long` in case this happens, to not get filenames longer than 255.
We usually have long filenames for filelocks because they are named after the path that is being locked. In case the path is a cache directory that has long directory names, then the filelock filename could en up being very long. | {
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"Windows, why are you doing this to me ?",
"Thanks @lhoestq, I'm starting reviewing this PR.",
"Yea issues on windows are about long paths, not long filenames.\r\nWe can make sure the lock filenames are not too long, but not for the paths",
"Took your suggestions into account @albertvillanova :)"
] |
https://api.github.com/repos/huggingface/datasets/issues/5849 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5849/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5849/comments | https://api.github.com/repos/huggingface/datasets/issues/5849/events | https://github.com/huggingface/datasets/issues/5849 | 1,707,551,511 | I_kwDODunzps5lxysX | 5,849 | CSV datasets should only read the CSV data files in the repo | [
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] | closed | false | null | 0 | 2023-05-12T12:29:53Z | 2023-06-22T14:16:27Z | 2023-06-22T14:16:27Z | null | When a no-script dataset has many CSV files and a JPG file, the library infers to use the Csv builder, but tries to read as CSV all files in the repo, also the JPG file.
I think the Csv builder should filter out non-CSV files when reading.
An analogue solution should be implemented for other packaged builders.
Related to:
- https://huggingface.co/datasets/abidlabs/img2text/discussions/1
- https://github.com/gradio-app/gradio/pull/3973#issuecomment-1545409061
CC: @abidlabs @severo | {
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https://api.github.com/repos/huggingface/datasets/issues/1918 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1918/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1918/comments | https://api.github.com/repos/huggingface/datasets/issues/1918/events | https://github.com/huggingface/datasets/pull/1918 | 812,541,510 | MDExOlB1bGxSZXF1ZXN0NTc2ODg2OTQ0 | 1,918 | Fix QA4MRE download URLs | [] | closed | false | null | 0 | 2021-02-20T07:32:17Z | 2021-02-22T13:35:06Z | 2021-02-22T13:35:06Z | null | The URLs in the `dataset_infos` and `README` are correct, only the ones in the download script needed updating. | {
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https://api.github.com/repos/huggingface/datasets/issues/232 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/232/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/232/comments | https://api.github.com/repos/huggingface/datasets/issues/232/events | https://github.com/huggingface/datasets/pull/232 | 630,029,568 | MDExOlB1bGxSZXF1ZXN0NDI3MjI5NDcy | 232 | Nlp cli fix endpoints | [] | closed | false | null | 1 | 2020-06-03T14:10:39Z | 2020-06-08T09:02:58Z | 2020-06-08T09:02:57Z | null | With this PR users will be able to upload their own datasets and metrics.
As mentioned in #181, I had to use the new endpoints and revert the use of dataclasses (just in case we have changes in the API in the future).
We now distinguish commands for datasets and commands for metrics:
```bash
nlp-cli upload_dataset <path/to/dataset>
nlp-cli upload_metric <path/to/metric>
nlp-cli s3_datasets {rm, ls}
nlp-cli s3_metrics {rm, ls}
```
Does it sound good to you @julien-c @thomwolf ? | {
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"LGTM 👍 "
] |
https://api.github.com/repos/huggingface/datasets/issues/4524 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4524/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4524/comments | https://api.github.com/repos/huggingface/datasets/issues/4524/events | https://github.com/huggingface/datasets/issues/4524 | 1,275,909,186 | I_kwDODunzps5MDNRC | 4,524 | Downloading via Apache Pipeline, client cancelled (org.apache.beam.vendor.grpc.v1p43p2.io.grpc.StatusRuntimeException) | [
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"name": "bug",
"node_id": "MDU6TGFiZWwxOTM1ODkyODU3",
"url": "https://api.github.com/repos/huggingface/datasets/labels/bug"
}
] | open | false | null | 2 | 2022-06-18T23:36:45Z | 2022-06-21T00:38:20Z | null | null | ## Describe the bug
When downloading some `wikipedia` languages (in particular, I'm having a hard time with Spanish, Cebuano, and Russian) via FlinkRunner, I encounter the exception in the title. I have been playing with package versions a lot, because unfortunately, the different dependencies required by these packages seem to be incompatible in terms of versions (dill and requests, for instance). It should be noted that the following code runs for several hours without issue, executing the `load_dataset()` function, before the exception occurs.
## Steps to reproduce the bug
```python
# bash commands
!pip install datasets
!pip install apache-beam[interactive]
!pip install mwparserfromhell
!pip install dill==0.3.5.1
!pip install requests==2.23.0
# imports
import os
from datasets import load_dataset
import apache_beam as beam
import mwparserfromhell
from google.colab import drive
import dill
import requests
# mount drive
drive_dir = os.path.join(os.getcwd(), 'drive')
drive.mount(drive_dir)
# confirming the versions of these two packages are the ones that are suggested by the outputs from the bash commands
print(dill.__version__)
print(requests.__version__)
lang = 'es' # or 'ru' or 'ceb' - these are the ones causing the issue
lang_dir = os.path.join(drive_dir, 'path/to/my/folder', lang)
if not os.path.exists(lang_dir):
x = None
x = load_dataset('wikipedia', '20220301.' + lang, beam_runner='Flink',
split='train')
x.save_to_disk(lang_dir)
```
## Expected results
Although some warnings are generally produced by this code (run in Colab Notebook), most languages I've tried have been successfully downloaded. It should simply go through without issue, but for these languages, I am continually encountering this error.
## Actual results
Traceback below:
```
Exception in thread run_worker_3-1:
Traceback (most recent call last):
File "/usr/lib/python3.7/threading.py", line 926, in _bootstrap_inner
self.run()
File "/usr/lib/python3.7/threading.py", line 870, in run
self._target(*self._args, **self._kwargs)
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", line 234, in run
for work_request in self._control_stub.Control(get_responses()):
File "/usr/local/lib/python3.7/dist-packages/grpc/_channel.py", line 426, in __next__
return self._next()
File "/usr/local/lib/python3.7/dist-packages/grpc/_channel.py", line 826, in _next
raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that terminated with:
status = StatusCode.UNAVAILABLE
details = "Socket closed"
debug_error_string = "{"created":"@1655593643.871830638","description":"Error received from peer ipv4:127.0.0.1:44441","file":"src/core/lib/surface/call.cc","file_line":952,"grpc_message":"Socket closed","grpc_status":14}"
>
Traceback (most recent call last):
File "apache_beam/runners/common.py", line 1198, in apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 718, in apache_beam.runners.common.PerWindowInvoker.invoke_process
File "apache_beam/runners/common.py", line 782, in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/bundle_processor.py", line 426, in __getitem__
self._cache[target_window] = self._side_input_data.view_fn(raw_view)
File "/usr/local/lib/python3.7/dist-packages/apache_beam/pvalue.py", line 391, in <lambda>
lambda iterable: from_runtime_iterable(iterable, view_options))
File "/usr/local/lib/python3.7/dist-packages/apache_beam/pvalue.py", line 512, in _from_runtime_iterable
head = list(itertools.islice(it, 2))
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", line 1228, in _lazy_iterator
self._underlying.get_raw(state_key, continuation_token))
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", line 1019, in get_raw
continuation_token=continuation_token)))
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", line 1060, in _blocking_request
raise RuntimeError(response.error)
RuntimeError: Unknown process bundle instruction id '26'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", line 267, in _execute
response = task()
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", line 340, in <lambda>
lambda: self.create_worker().do_instruction(request), request)
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", line 581, in do_instruction
getattr(request, request_type), request.instruction_id)
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", line 618, in process_bundle
bundle_processor.process_bundle(instruction_id))
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/bundle_processor.py", line 996, in process_bundle
element.data)
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/bundle_processor.py", line 221, in process_encoded
self.output(decoded_value)
File "apache_beam/runners/worker/operations.py", line 346, in apache_beam.runners.worker.operations.Operation.output
File "apache_beam/runners/worker/operations.py", line 348, in apache_beam.runners.worker.operations.Operation.output
File "apache_beam/runners/worker/operations.py", line 215, in apache_beam.runners.worker.operations.SingletonConsumerSet.receive
File "apache_beam/runners/worker/operations.py", line 707, in apache_beam.runners.worker.operations.DoOperation.process
File "apache_beam/runners/worker/operations.py", line 708, in apache_beam.runners.worker.operations.DoOperation.process
File "apache_beam/runners/common.py", line 1200, in apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 1281, in apache_beam.runners.common.DoFnRunner._reraise_augmented
File "apache_beam/runners/common.py", line 1198, in apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 718, in apache_beam.runners.common.PerWindowInvoker.invoke_process
File "apache_beam/runners/common.py", line 782, in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/bundle_processor.py", line 426, in __getitem__
self._cache[target_window] = self._side_input_data.view_fn(raw_view)
File "/usr/local/lib/python3.7/dist-packages/apache_beam/pvalue.py", line 391, in <lambda>
lambda iterable: from_runtime_iterable(iterable, view_options))
File "/usr/local/lib/python3.7/dist-packages/apache_beam/pvalue.py", line 512, in _from_runtime_iterable
head = list(itertools.islice(it, 2))
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", line 1228, in _lazy_iterator
self._underlying.get_raw(state_key, continuation_token))
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", line 1019, in get_raw
continuation_token=continuation_token)))
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", line 1060, in _blocking_request
raise RuntimeError(response.error)
RuntimeError: Unknown process bundle instruction id '26' [while running 'train/Save to parquet/Write/WriteImpl/WriteBundles']
ERROR:apache_beam.runners.worker.sdk_worker:Error processing instruction 26. Original traceback is
Traceback (most recent call last):
File "apache_beam/runners/common.py", line 1198, in apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 718, in apache_beam.runners.common.PerWindowInvoker.invoke_process
File "apache_beam/runners/common.py", line 782, in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/bundle_processor.py", line 426, in __getitem__
self._cache[target_window] = self._side_input_data.view_fn(raw_view)
File "/usr/local/lib/python3.7/dist-packages/apache_beam/pvalue.py", line 391, in <lambda>
lambda iterable: from_runtime_iterable(iterable, view_options))
File "/usr/local/lib/python3.7/dist-packages/apache_beam/pvalue.py", line 512, in _from_runtime_iterable
head = list(itertools.islice(it, 2))
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", line 1228, in _lazy_iterator
self._underlying.get_raw(state_key, continuation_token))
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", line 1019, in get_raw
continuation_token=continuation_token)))
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", line 1060, in _blocking_request
raise RuntimeError(response.error)
RuntimeError: Unknown process bundle instruction id '26'
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", line 267, in _execute
response = task()
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", line 340, in <lambda>
lambda: self.create_worker().do_instruction(request), request)
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", line 581, in do_instruction
getattr(request, request_type), request.instruction_id)
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", line 618, in process_bundle
bundle_processor.process_bundle(instruction_id))
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/bundle_processor.py", line 996, in process_bundle
element.data)
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/bundle_processor.py", line 221, in process_encoded
self.output(decoded_value)
File "apache_beam/runners/worker/operations.py", line 346, in apache_beam.runners.worker.operations.Operation.output
File "apache_beam/runners/worker/operations.py", line 348, in apache_beam.runners.worker.operations.Operation.output
File "apache_beam/runners/worker/operations.py", line 215, in apache_beam.runners.worker.operations.SingletonConsumerSet.receive
File "apache_beam/runners/worker/operations.py", line 707, in apache_beam.runners.worker.operations.DoOperation.process
File "apache_beam/runners/worker/operations.py", line 708, in apache_beam.runners.worker.operations.DoOperation.process
File "apache_beam/runners/common.py", line 1200, in apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 1281, in apache_beam.runners.common.DoFnRunner._reraise_augmented
File "apache_beam/runners/common.py", line 1198, in apache_beam.runners.common.DoFnRunner.process
File "apache_beam/runners/common.py", line 718, in apache_beam.runners.common.PerWindowInvoker.invoke_process
File "apache_beam/runners/common.py", line 782, in apache_beam.runners.common.PerWindowInvoker._invoke_process_per_window
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/bundle_processor.py", line 426, in __getitem__
self._cache[target_window] = self._side_input_data.view_fn(raw_view)
File "/usr/local/lib/python3.7/dist-packages/apache_beam/pvalue.py", line 391, in <lambda>
lambda iterable: from_runtime_iterable(iterable, view_options))
File "/usr/local/lib/python3.7/dist-packages/apache_beam/pvalue.py", line 512, in _from_runtime_iterable
head = list(itertools.islice(it, 2))
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", line 1228, in _lazy_iterator
self._underlying.get_raw(state_key, continuation_token))
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", line 1019, in get_raw
continuation_token=continuation_token)))
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/sdk_worker.py", line 1060, in _blocking_request
raise RuntimeError(response.error)
RuntimeError: Unknown process bundle instruction id '26' [while running 'train/Save to parquet/Write/WriteImpl/WriteBundles']
ERROR:root:org.apache.beam.vendor.grpc.v1p43p2.io.grpc.StatusRuntimeException: CANCELLED: client cancelled
ERROR:apache_beam.runners.worker.data_plane:Failed to read inputs in the data plane.
Traceback (most recent call last):
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/data_plane.py", line 634, in _read_inputs
for elements in elements_iterator:
File "/usr/local/lib/python3.7/dist-packages/grpc/_channel.py", line 426, in __next__
return self._next()
File "/usr/local/lib/python3.7/dist-packages/grpc/_channel.py", line 826, in _next
raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that terminated with:
status = StatusCode.CANCELLED
details = "Multiplexer hanging up"
debug_error_string = "{"created":"@1655593654.436885887","description":"Error received from peer ipv4:127.0.0.1:43263","file":"src/core/lib/surface/call.cc","file_line":952,"grpc_message":"Multiplexer hanging up","grpc_status":1}"
>
Exception in thread read_grpc_client_inputs:
Traceback (most recent call last):
File "/usr/lib/python3.7/threading.py", line 926, in _bootstrap_inner
self.run()
File "/usr/lib/python3.7/threading.py", line 870, in run
self._target(*self._args, **self._kwargs)
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/data_plane.py", line 651, in <lambda>
target=lambda: self._read_inputs(elements_iterator),
File "/usr/local/lib/python3.7/dist-packages/apache_beam/runners/worker/data_plane.py", line 634, in _read_inputs
for elements in elements_iterator:
File "/usr/local/lib/python3.7/dist-packages/grpc/_channel.py", line 426, in __next__
return self._next()
File "/usr/local/lib/python3.7/dist-packages/grpc/_channel.py", line 826, in _next
raise self
grpc._channel._MultiThreadedRendezvous: <_MultiThreadedRendezvous of RPC that terminated with:
status = StatusCode.CANCELLED
details = "Multiplexer hanging up"
debug_error_string = "{"created":"@1655593654.436885887","description":"Error received from peer ipv4:127.0.0.1:43263","file":"src/core/lib/surface/call.cc","file_line":952,"grpc_message":"Multiplexer hanging up","grpc_status":1}"
>
---------------------------------------------------------------------------
RuntimeError Traceback (most recent call last)
[/tmp/ipykernel_219/3869142325.py](https://localhost:8080/#) in <module>
18 x = None
19 x = load_dataset('wikipedia', '20220301.' + lang, beam_runner='Flink',
---> 20 split='train')
21 x.save_to_disk(lang_dir)
3 frames
[/usr/local/lib/python3.7/dist-packages/apache_beam/runners/portability/portable_runner.py](https://localhost:8080/#) in wait_until_finish(self, duration)
604
605 if self._runtime_exception:
--> 606 raise self._runtime_exception
607
608 return self._state
RuntimeError: Pipeline BeamApp-root-0618220708-b3b59a0e_d8efcf67-9119-4f76-b013-70de7b29b54d failed in state FAILED: org.apache.beam.vendor.grpc.v1p43p2.io.grpc.StatusRuntimeException: CANCELLED: client cancelled
```
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 2.3.2
- Platform: Linux-5.4.188+-x86_64-with-Ubuntu-18.04-bionic
- Python version: 3.7.13
- PyArrow version: 6.0.1
- Pandas version: 1.3.5
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"Hi @dan-the-meme-man, thanks for reporting.\r\n\r\nWe are investigating a similar issue but with Beam+Dataflow (instead of Beam+Flink): \r\n- #4525\r\n\r\nIn order to go deeper into the root cause, we need as much information as possible: logs from the main process + logs from the workers are very informative.\r\n... |
https://api.github.com/repos/huggingface/datasets/issues/5112 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5112/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5112/comments | https://api.github.com/repos/huggingface/datasets/issues/5112/events | https://github.com/huggingface/datasets/issues/5112 | 1,409,143,409 | I_kwDODunzps5T_dJx | 5,112 | Bug with filtered indices | [
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] | closed | false | null | 3 | 2022-10-14T10:35:47Z | 2022-10-14T13:55:03Z | 2022-10-14T12:11:45Z | null | ## Describe the bug
As reported by @PartiallyTyped (and by @Muennighoff):
- https://github.com/huggingface/datasets/issues/5111#issuecomment-1278652524
There is an issue with the indices of a filtered dataset.
## Steps to reproduce the bug
```python
ds = Dataset.from_dict({"num": [0, 1, 2, 3]})
ds = ds.filter(lambda num: num % 2 == 0, input_columns="num", batch_size=2)
assert all(item["num"] % 2 == 0 for item in ds)
```
## Expected results
The indices of the filtered dataset should correspond to the examples with "language" equals to "english".
## Actual results
Indices to items with other languages are included in the filtered dataset indices
## Preliminar investigation
It seems a bug introduced by:
- #5030
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"The issue is here:\r\nhttps://github.com/huggingface/datasets/blob/3ad9644b9a2e4558dd1d0f1e43c67658674e6228/src/datasets/arrow_dataset.py#L2964",
"@PartiallyTyped, @Muennighoff: the issue is fixed.\r\n\r\nWe are planning to make a patch release today.",
"Thanks a lot for the swift response! For a brief moment ... |
https://api.github.com/repos/huggingface/datasets/issues/2872 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2872/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2872/comments | https://api.github.com/repos/huggingface/datasets/issues/2872/events | https://github.com/huggingface/datasets/pull/2872 | 989,453,069 | MDExOlB1bGxSZXF1ZXN0NzI4MTkzMjkz | 2,872 | adding swedish_medical_ner | [] | closed | false | null | 0 | 2021-09-06T22:00:52Z | 2021-09-07T04:36:32Z | 2021-09-07T04:36:32Z | null | Adding the Swedish Medical NER dataset, listed in "Biomedical Datasets - BigScience Workshop 2021" | {
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https://api.github.com/repos/huggingface/datasets/issues/2849 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2849/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2849/comments | https://api.github.com/repos/huggingface/datasets/issues/2849/events | https://github.com/huggingface/datasets/issues/2849 | 982,631,420 | MDU6SXNzdWU5ODI2MzE0MjA= | 2,849 | Add Open Catalyst Project Dataset | [
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] | open | false | null | 0 | 2021-08-30T10:14:39Z | 2021-08-30T10:14:39Z | null | null | ## Adding a Dataset
- **Name:** Open Catalyst 2020 (OC20) Dataset
- **Website:** https://opencatalystproject.org/
- **Data:** https://github.com/Open-Catalyst-Project/ocp/blob/master/DATASET.md
Instructions to add a new dataset can be found [here](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md).
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https://api.github.com/repos/huggingface/datasets/issues/2370 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2370/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2370/comments | https://api.github.com/repos/huggingface/datasets/issues/2370/events | https://github.com/huggingface/datasets/pull/2370 | 893,606,432 | MDExOlB1bGxSZXF1ZXN0NjQ2MDkyNDQy | 2,370 | Adding HendrycksTest dataset | [] | closed | false | null | 5 | 2021-05-17T18:53:05Z | 2023-05-11T05:42:57Z | 2021-05-31T16:37:13Z | null | Adding Hendrycks test from https://arxiv.org/abs/2009.03300.
I'm having a bit of trouble with dummy data creation because some lines in the csv files aren't being loaded properly (only the first entry loaded in a row of length 6). The dataset is loading just fine. Hope you can kindly help!
Thank you! | {
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"@lhoestq Thank you for the review. I've made the suggested changes. There still might be some problems with dummy data though due to some csv loading issues (which I haven't found the cause to).",
"I took a look at the dummy data and some csv lines were cropped. I fixed them :)",
"@andyzoujm Any reason why thi... |
https://api.github.com/repos/huggingface/datasets/issues/5757 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5757/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5757/comments | https://api.github.com/repos/huggingface/datasets/issues/5757/events | https://github.com/huggingface/datasets/issues/5757 | 1,669,910,503 | I_kwDODunzps5jiM_n | 5,757 | Tilde (~) is not supported | [] | closed | false | null | 0 | 2023-04-16T11:48:10Z | 2023-04-20T15:30:51Z | 2023-04-20T15:30:51Z | null | ### Describe the bug
It seems that `~` is not recognized correctly in local paths. Whenever I try to use it I get an exception
### Steps to reproduce the bug
```python
load_dataset("imagefolder", data_dir="~/data/my_dataset")
```
Will generate the following error:
```
EmptyDatasetError: The directory at /path/to/cwd/~/data/datasets/clementine_tagged_per_cam doesn't contain any data files
```
### Expected behavior
Load the dataset.
### Environment info
datasets==2.11.0 | {
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https://api.github.com/repos/huggingface/datasets/issues/3657 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3657/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3657/comments | https://api.github.com/repos/huggingface/datasets/issues/3657/events | https://github.com/huggingface/datasets/pull/3657 | 1,120,602,620 | PR_kwDODunzps4x5f1I | 3,657 | Extend dataset builder for streaming in `get_dataset_split_names` | [] | closed | false | null | 4 | 2022-02-01T12:21:24Z | 2022-02-03T22:49:06Z | 2022-02-02T11:22:01Z | null | Currently, `get_dataset_split_names` doesn't extend a builder module to support streaming, even though it uses `StreamingDownloadManager` to download data. This PR fixes that.
To test the change, run the following:
```bash
pip install git+https://github.com/huggingface/datasets.git@fix-get_dataset_split_names-streaming
python -c "from datasets import get_dataset_split_names; print(get_dataset_split_names('facebook/multilingual_librispeech', 'german', download_mode='force_redownload', revision='137923f945552c6afdd8b60e4a7b43e3088972c1'))"
``` | {
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"I'm impatient to see if it has an impact on the number of valid datasets for the dataset viewer. For the record, today:\r\n\r\n<img width=\"660\" alt=\"Capture d’écran 2022-02-01 à 14 32 19\" src=\"https://user-images.githubusercontent.com/1676121/151977579-b5a239d9-6662-4aeb-bfd1-eef6b8249991.png\">\r\n",
"Th... |
https://api.github.com/repos/huggingface/datasets/issues/5678 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5678/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5678/comments | https://api.github.com/repos/huggingface/datasets/issues/5678/events | https://github.com/huggingface/datasets/issues/5678 | 1,645,018,359 | I_kwDODunzps5iDPz3 | 5,678 | Add support to create a Dataset from spark dataframe | [
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"default": true,
"description": "New feature or request",
"id": 1935892871,
"name": "enhancement",
"node_id": "MDU6TGFiZWwxOTM1ODkyODcx",
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] | closed | false | null | 3 | 2023-03-29T04:36:28Z | 2023-07-21T14:15:38Z | 2023-07-21T14:15:38Z | null | ### Feature request
Add a new API `Dataset.from_spark` to create a Dataset from Spark DataFrame.
### Motivation
Spark is a distributed computing framework that can handle large datasets. By supporting loading Spark DataFrames directly into Hugging Face Datasets, we enable take the advantages of spark to processing the data in parallel.
By providing a seamless integration between these two frameworks, we make it easier for data scientists and developers to work with both Spark and Hugging Face in the same workflow.
### Your contribution
We can discuss about the ideas and I can help preparing a PR for this feature. | {
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"if i read spark Dataframe , got an error on multi-node Spark cluster.\r\nDid the Api (Dataset.from_spark) support Spark cluster, read dataframe and save_to_disk?\r\n\r\nError: \r\n_pickle.PicklingError: Could not serialize object: RuntimeError: It appears that you are attempting to reference SparkContext from a b... |
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