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https://api.github.com/repos/huggingface/datasets/issues/2648 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2648/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2648/comments | https://api.github.com/repos/huggingface/datasets/issues/2648/events | https://github.com/huggingface/datasets/issues/2648 | 944,484,522 | MDU6SXNzdWU5NDQ0ODQ1MjI= | 2,648 | Add web_split dataset for Paraphase and Rephrase benchmark | {
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"#take"
] | 1,626,272,676,000 | 1,626,272,772,000 | null | CONTRIBUTOR | null | null | ## Describe:
For getting simple sentences from complex sentence there are dataset and task like wiki_split that is available in hugging face datasets. This web_split is a very similar dataset. There some research paper which states that by combining these two datasets we if we train the model it will yield better resu... | https://api.github.com/repos/huggingface/datasets/issues/2648/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2647 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2647/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2647/comments | https://api.github.com/repos/huggingface/datasets/issues/2647/events | https://github.com/huggingface/datasets/pull/2647 | 944,424,941 | MDExOlB1bGxSZXF1ZXN0Njg5OTExMzky | 2,647 | Fix anchor in README | {
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"title... | [] | 1,626,268,964,000 | 1,626,608,478,000 | 1,626,331,847,000 | CONTRIBUTOR | null | {
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} | I forgot to push this fix in #2611, so I'm sending it now. | https://api.github.com/repos/huggingface/datasets/issues/2647/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2646 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2646/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2646/comments | https://api.github.com/repos/huggingface/datasets/issues/2646/events | https://github.com/huggingface/datasets/issues/2646 | 944,379,954 | MDU6SXNzdWU5NDQzNzk5NTQ= | 2,646 | downloading of yahoo_answers_topics dataset failed | {
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"Hi ! I just tested and it worked fine today for me.\r\n\r\nI think this is because the dataset is stored on Google Drive which has a quota limit for the number of downloads per day, see this similar issue https://github.com/huggingface/datasets/issues/996 \r\n\r\nFeel free to try again today, now that the quota wa... | 1,626,265,865,000 | 1,626,340,516,000 | null | NONE | null | null | ## Describe the bug
I get an error datasets.utils.info_utils.NonMatchingChecksumError: Checksums didn't match for dataset source files when I try to download the yahoo_answers_topics dataset
## Steps to reproduce the bug
self.dataset = load_dataset(
'yahoo_answers_topics', cache_dir=self.config... | https://api.github.com/repos/huggingface/datasets/issues/2646/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2645 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2645/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2645/comments | https://api.github.com/repos/huggingface/datasets/issues/2645/events | https://github.com/huggingface/datasets/issues/2645 | 944,374,284 | MDU6SXNzdWU5NDQzNzQyODQ= | 2,645 | load_dataset processing failed with OS error after downloading a dataset | {
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"Hi ! It looks like an issue with pytorch.\r\n\r\nCould you try to run `import torch` and see if it raises an error ?",
"> Hi ! It looks like an issue with pytorch.\r\n> \r\n> Could you try to run `import torch` and see if it raises an error ?\r\n\r\nIt works. Thank you!"
] | 1,626,265,433,000 | 1,626,341,642,000 | 1,626,341,642,000 | NONE | null | null | ## Describe the bug
After downloading a dataset like opus100, there is a bug that
OSError: Cannot find data file.
Original error:
dlopen: cannot load any more object with static TLS
## Steps to reproduce the bug
```python
from datasets import load_dataset
this_dataset = load_dataset('opus100', 'af-en')
```
... | https://api.github.com/repos/huggingface/datasets/issues/2645/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2644 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2644/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2644/comments | https://api.github.com/repos/huggingface/datasets/issues/2644/events | https://github.com/huggingface/datasets/issues/2644 | 944,254,748 | MDU6SXNzdWU5NDQyNTQ3NDg= | 2,644 | Batched `map` not allowed to return 0 items | {
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"Hi ! Thanks for reporting. Indeed it looks like type inference makes it fail. We should probably just ignore this step until a non-empty batch is passed.",
"Sounds good! Do you want me to propose a PR? I'm quite busy right now, but if it's not too urgent I could take a look next week.",
"Sure if you're interes... | 1,626,256,699,000 | 1,627,311,315,000 | 1,627,311,315,000 | CONTRIBUTOR | null | null | ## Describe the bug
I'm trying to use `map` to filter a large dataset by selecting rows that match an expensive condition (files referenced by one of the columns need to exist in the filesystem, so we have to `stat` them). According to [the documentation](https://huggingface.co/docs/datasets/processing.html#augmenting... | https://api.github.com/repos/huggingface/datasets/issues/2644/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2643 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2643/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2643/comments | https://api.github.com/repos/huggingface/datasets/issues/2643/events | https://github.com/huggingface/datasets/issues/2643 | 944,220,273 | MDU6SXNzdWU5NDQyMjAyNzM= | 2,643 | Enum used in map functions will raise a RecursionError with dill. | {
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"I'm running into this as well. (Thank you so much for reporting @jorgeecardona — was staring at this massive stack trace and unsure what exactly was wrong!)",
"Hi ! Thanks for reporting :)\r\n\r\nUntil this is fixed on `dill`'s side, we could implement a custom saving in our Pickler indefined in utils.py_utils.p... | 1,626,254,168,000 | 1,629,739,417,000 | null | NONE | null | null | ## Describe the bug
Enums used in functions pass to `map` will fail at pickling with a maximum recursion exception as described here: https://github.com/uqfoundation/dill/issues/250#issuecomment-852566284
In my particular case, I use an enum to define an argument with fixed options using the `TraininigArguments` ... | https://api.github.com/repos/huggingface/datasets/issues/2643/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2642 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2642/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2642/comments | https://api.github.com/repos/huggingface/datasets/issues/2642/events | https://github.com/huggingface/datasets/issues/2642 | 944,175,697 | MDU6SXNzdWU5NDQxNzU2OTc= | 2,642 | Support multi-worker with streaming dataset (IterableDataset). | {
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"Hi ! This is a great idea :)\r\nI think we could have something similar to what we have in `datasets.Dataset.map`, i.e. a `num_proc` parameter that tells how many processes to spawn to parallelize the data processing. \r\n\r\nRegarding AUTOTUNE, this could be a nice feature as well, we could see how to add it in a... | 1,626,250,978,000 | 1,626,341,854,000 | null | CONTRIBUTOR | null | null | **Is your feature request related to a problem? Please describe.**
The current `.map` does not support multi-process, CPU can become bottleneck if the pre-processing is complex (e.g. t5 span masking).
**Describe the solution you'd like**
Ideally `.map` should support multi-worker like tfds, with `AUTOTUNE`.
**D... | https://api.github.com/repos/huggingface/datasets/issues/2642/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2641 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2641/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2641/comments | https://api.github.com/repos/huggingface/datasets/issues/2641/events | https://github.com/huggingface/datasets/issues/2641 | 943,838,085 | MDU6SXNzdWU5NDM4MzgwODU= | 2,641 | load_dataset("financial_phrasebank") NonMatchingChecksumError | {
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"Hi! It's probably because this dataset is stored on google drive and it has a per day quota limit. It should work if you retry, I was able to initiate the download.\r\n\r\nSimilar issue [here](https://github.com/huggingface/datasets/issues/2646)",
"Hi ! Loading the dataset works on my side as well.\r\nFeel free ... | 1,626,211,309,000 | 1,626,701,170,000 | null | NONE | null | null | ## Describe the bug
Attempting to download the financial_phrasebank dataset results in a NonMatchingChecksumError
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset("financial_phrasebank", 'sentences_allagree')
```
## Expected results
I expect to see the financi... | https://api.github.com/repos/huggingface/datasets/issues/2641/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2640 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2640/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2640/comments | https://api.github.com/repos/huggingface/datasets/issues/2640/events | https://github.com/huggingface/datasets/pull/2640 | 943,591,055 | MDExOlB1bGxSZXF1ZXN0Njg5MjAxMDkw | 2,640 | Fix docstrings | {
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In relation with the initial approach followed in #2631. | https://api.github.com/repos/huggingface/datasets/issues/2639/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2638 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2638/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2638/comments | https://api.github.com/repos/huggingface/datasets/issues/2638/events | https://github.com/huggingface/datasets/pull/2638 | 943,484,913 | MDExOlB1bGxSZXF1ZXN0Njg5MTA5NTg1 | 2,638 | Streaming for the Json loader | {
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"A note is that I think we should add a few indicator of status (as mentioned by @stas00 in #2649), probably at the (1) downloading, (2) extracting and (3) reading steps. In particular when loading many very large files it's interesting to know a bit where we are in the process.",
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https://api.github.com/repos/huggingface/datasets/issues/2637 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2637/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2637/comments | https://api.github.com/repos/huggingface/datasets/issues/2637/events | https://github.com/huggingface/datasets/issues/2637 | 943,290,736 | MDU6SXNzdWU5NDMyOTA3MzY= | 2,637 | Add the CIDEr metric? | {
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I find the api in https://huggingface.co/metrics quite useful.
I am playing around with video/image captioning task, where CIDEr is a popular metric.
Do you plan to add this into the HF ```datasets``` library?
Thanks. | https://api.github.com/repos/huggingface/datasets/issues/2637/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2636 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2636/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2636/comments | https://api.github.com/repos/huggingface/datasets/issues/2636/events | https://github.com/huggingface/datasets/pull/2636 | 943,044,514 | MDExOlB1bGxSZXF1ZXN0Njg4NzEyMTY4 | 2,636 | Streaming for the Pandas loader | {
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} | It was not using open in the builder. Therefore pd.read_pickle could fail when streaming from a private repo for example.
Indeed, when streaming, open is extended to support reading from remote files and handles authentication to the HF Hub | https://api.github.com/repos/huggingface/datasets/issues/2636/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2635 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2635/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2635/comments | https://api.github.com/repos/huggingface/datasets/issues/2635/events | https://github.com/huggingface/datasets/pull/2635 | 943,030,999 | MDExOlB1bGxSZXF1ZXN0Njg4Njk5OTM5 | 2,635 | Streaming for the CSV loader | {
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Indeed, when streaming, `open` is extended to support reading from remote file progressively. | https://api.github.com/repos/huggingface/datasets/issues/2635/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2634 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2634/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2634/comments | https://api.github.com/repos/huggingface/datasets/issues/2634/events | https://github.com/huggingface/datasets/pull/2634 | 942,805,621 | MDExOlB1bGxSZXF1ZXN0Njg4NDk2Mzc2 | 2,634 | Inject ASR template for lj_speech dataset | {
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cc: @lewtun | https://api.github.com/repos/huggingface/datasets/issues/2634/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2633 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2633/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2633/comments | https://api.github.com/repos/huggingface/datasets/issues/2633/events | https://github.com/huggingface/datasets/pull/2633 | 942,396,414 | MDExOlB1bGxSZXF1ZXN0Njg4MTMwOTA5 | 2,633 | Update ASR tags | {
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https://api.github.com/repos/huggingface/datasets/issues/2632 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2632/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2632/comments | https://api.github.com/repos/huggingface/datasets/issues/2632/events | https://github.com/huggingface/datasets/pull/2632 | 942,293,727 | MDExOlB1bGxSZXF1ZXN0Njg4MDQyMjcw | 2,632 | add image-classification task template | {
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"Awesome!",
"Thanks for adding a new task template - great work @nateraw 🚀 !"
] | 1,626,111,663,000 | 1,626,191,068,000 | 1,626,190,096,000 | CONTRIBUTOR | null | {
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} | Snippet below is the tl;dr, but you can try it out directly here:
[](https://colab.research.google.com/gist/nateraw/005c025d41f0e48ae3d4ee61c0f20b70/image-classification-task-template-demo.ipynb)
```python
from datasets import load_datase... | https://api.github.com/repos/huggingface/datasets/issues/2632/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2631 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2631/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2631/comments | https://api.github.com/repos/huggingface/datasets/issues/2631/events | https://github.com/huggingface/datasets/pull/2631 | 942,242,271 | MDExOlB1bGxSZXF1ZXN0Njg3OTk3MzM2 | 2,631 | Delete extracted files when loading dataset | {
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"Sure @stas00, it is still a draft pull request. :)",
"Yes, I noticed it after reviewing - my apologies.",
"The problem with this approach is that it also deletes the downloaded files (if they need not be extracted). 😟 ",
"> The problem with this approach is that it also deletes the downloaded files (if they... | 1,626,107,973,000 | 1,626,685,699,000 | 1,626,685,699,000 | MEMBER | null | {
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cc: @stas00, @thomwolf, @BirgerMoell | https://api.github.com/repos/huggingface/datasets/issues/2631/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2630 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2630/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2630/comments | https://api.github.com/repos/huggingface/datasets/issues/2630/events | https://github.com/huggingface/datasets/issues/2630 | 942,102,956 | MDU6SXNzdWU5NDIxMDI5NTY= | 2,630 | Progress bars are not properly rendered in Jupyter notebook | {
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"To add my experience when trying to debug this issue:\r\n\r\nSeems like previously the workaround given [here](https://github.com/tqdm/tqdm/issues/485#issuecomment-473338308) worked around this issue. But with the latest version of jupyter/tqdm I still get terminal warnings that IPython tried to send a message fro... | 1,626,098,833,000 | 1,626,160,832,000 | null | MEMBER | null | null | ## Describe the bug
The progress bars are not Jupyter widgets; regular progress bars appear (like in a terminal).
## Steps to reproduce the bug
```python
ds.map(tokenize, num_proc=10)
```
## Expected results
Jupyter widgets displaying the progress bars.
## Actual results
Simple plane progress bars.
cc... | https://api.github.com/repos/huggingface/datasets/issues/2630/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2629 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2629/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2629/comments | https://api.github.com/repos/huggingface/datasets/issues/2629/events | https://github.com/huggingface/datasets/issues/2629 | 941,819,205 | MDU6SXNzdWU5NDE4MTkyMDU= | 2,629 | Load datasets from the Hub without requiring a dataset script | {
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"This is so cool, let us know if we can help with anything on the hub side (@Pierrci @elishowk) 🎉 "
] | 1,626,079,517,000 | 1,629,901,088,000 | 1,629,901,088,000 | MEMBER | null | null | As a user I would like to be able to upload my csv/json/text/parquet/etc. files in a dataset repository on the Hugging Face Hub and be able to load this dataset with `load_dataset` without having to implement a dataset script.
Moreover I would like to be able to specify which file goes into which split using the `da... | https://api.github.com/repos/huggingface/datasets/issues/2629/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2628 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2628/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2628/comments | https://api.github.com/repos/huggingface/datasets/issues/2628/events | https://github.com/huggingface/datasets/pull/2628 | 941,676,404 | MDExOlB1bGxSZXF1ZXN0Njg3NTE0NzQz | 2,628 | Use ETag of remote data files | {
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Related to #2616. | https://api.github.com/repos/huggingface/datasets/issues/2628/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2627 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2627/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2627/comments | https://api.github.com/repos/huggingface/datasets/issues/2627/events | https://github.com/huggingface/datasets/pull/2627 | 941,503,349 | MDExOlB1bGxSZXF1ZXN0Njg3MzczMDg1 | 2,627 | Minor fix tests with Windows paths | {
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https://api.github.com/repos/huggingface/datasets/issues/2626 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2626/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2626/comments | https://api.github.com/repos/huggingface/datasets/issues/2626/events | https://github.com/huggingface/datasets/pull/2626 | 941,497,830 | MDExOlB1bGxSZXF1ZXN0Njg3MzY4OTMz | 2,626 | Use correct logger in metrics.py | {
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https://api.github.com/repos/huggingface/datasets/issues/2625 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2625/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2625/comments | https://api.github.com/repos/huggingface/datasets/issues/2625/events | https://github.com/huggingface/datasets/issues/2625 | 941,439,922 | MDU6SXNzdWU5NDE0Mzk5MjI= | 2,625 | ⚛️😇⚙️🔑 | {
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https://api.github.com/repos/huggingface/datasets/issues/2624 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2624/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2624/comments | https://api.github.com/repos/huggingface/datasets/issues/2624/events | https://github.com/huggingface/datasets/issues/2624 | 941,318,247 | MDU6SXNzdWU5NDEzMTgyNDc= | 2,624 | can't set verbosity for `metric.py` | {
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"Thanks @thomas-happify for reporting and thanks @mariosasko for the fix."
] | 1,625,948,625,000 | 1,626,069,269,000 | 1,626,069,269,000 | NONE | null | null | ## Describe the bug
```
[2021-07-10 20:13:11,528][datasets.utils.filelock][INFO] - Lock 139705371374976 acquired on /root/.cache/huggingface/metrics/seqeval/default/default_experiment-1-0.arrow.lock
[2021-07-10 20:13:11,529][datasets.arrow_writer][INFO] - Done writing 32 examples in 6100 bytes /root/.cache/huggingfa... | https://api.github.com/repos/huggingface/datasets/issues/2624/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2623 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2623/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2623/comments | https://api.github.com/repos/huggingface/datasets/issues/2623/events | https://github.com/huggingface/datasets/pull/2623 | 941,265,342 | MDExOlB1bGxSZXF1ZXN0Njg3MTk0MjM3 | 2,623 | [Metrics] added wiki_split metrics | {
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"Looks all good to me thanks :)\r\nJust did some minor corrections in the docstring"
] | 1,625,928,710,000 | 1,626,272,893,000 | 1,626,129,271,000 | CONTRIBUTOR | null | {
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} | Fixes: #2606
This pull request adds combine metrics for the wikisplit or English sentence split task
Reviewer: @patrickvonplaten | https://api.github.com/repos/huggingface/datasets/issues/2623/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2622 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2622/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2622/comments | https://api.github.com/repos/huggingface/datasets/issues/2622/events | https://github.com/huggingface/datasets/issues/2622 | 941,127,785 | MDU6SXNzdWU5NDExMjc3ODU= | 2,622 | Integration with AugLy | {
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"Hi,\r\n\r\nyou can define your own custom formatting with `Dataset.set_transform()` and then run the tokenizer with the batches of augmented data as follows:\r\n```python\r\ndset = load_dataset(\"imdb\", split=\"train\") # Let's say we are working with the IMDB dataset\r\ndset.set_transform(lambda ex: {\"text\": ... | 1,625,875,389,000 | 1,626,023,291,000 | null | NONE | null | null | **Is your feature request related to a problem? Please describe.**
Facebook recently launched a library, [AugLy](https://github.com/facebookresearch/AugLy) , that has a unified API for augmentations for image, video and text.
It would be pretty exciting to have it hooked up to HF libraries so that we can make NLP m... | https://api.github.com/repos/huggingface/datasets/issues/2622/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2621 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2621/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2621/comments | https://api.github.com/repos/huggingface/datasets/issues/2621/events | https://github.com/huggingface/datasets/pull/2621 | 940,916,446 | MDExOlB1bGxSZXF1ZXN0Njg2OTE1Mzcw | 2,621 | Use prefix to allow exceed Windows MAX_PATH | {
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"Does this mean the `FileNotFoundError` that avoids infinite loop can be removed?",
"Yes, I think so...",
"Or maybe we could leave it in case a relative path exceeds the MAX_PATH limit?",
" > Or maybe we could leave it in case a relative path exceeds the MAX_PATH limit?\r\n\r\nWhat about converting relative p... | 1,625,848,793,000 | 1,626,449,292,000 | 1,626,449,291,000 | MEMBER | null | {
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} | By using this prefix, you can exceed the Windows MAX_PATH limit.
See: https://docs.microsoft.com/en-us/windows/win32/fileio/naming-a-file?redirectedfrom=MSDN#win32-file-namespaces
Related to #2524, #2220. | https://api.github.com/repos/huggingface/datasets/issues/2621/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2620 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2620/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2620/comments | https://api.github.com/repos/huggingface/datasets/issues/2620/events | https://github.com/huggingface/datasets/pull/2620 | 940,893,389 | MDExOlB1bGxSZXF1ZXN0Njg2ODk3MDky | 2,620 | Add speech processing tasks | {
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"Are there any `task_categories:automatic-speech-recognition` dataset for which we should update the tags ?",
"> Are there any `task_categories:automatic-speech-recognition` dataset for which we should update the tags ?\r\n\r\nYes there's a few - I'll fix them tomorrow :)"
] | 1,625,846,849,000 | 1,626,114,779,000 | 1,626,111,122,000 | MEMBER | null | {
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} | This PR replaces the `automatic-speech-recognition` task category with a broader `speech-processing` category.
The tasks associated with this category are derived from the [SUPERB benchmark](https://arxiv.org/abs/2105.01051), and ASR is included in this set. | https://api.github.com/repos/huggingface/datasets/issues/2620/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2619 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2619/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2619/comments | https://api.github.com/repos/huggingface/datasets/issues/2619/events | https://github.com/huggingface/datasets/pull/2619 | 940,858,236 | MDExOlB1bGxSZXF1ZXN0Njg2ODY3NDA4 | 2,619 | Add ASR task for SUPERB | {
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"Wait until #2620 is merged before pushing the README tags in this PR",
"> Thanks!\r\n> \r\n> One question: aren't you adding `task_templates` to the `_info` method (and to the `dataset_infos.json`?\r\n\r\ngreat catch! i've now added the asr task template (along with a mapping from superb task -> template) and up... | 1,625,843,985,000 | 1,626,339,358,000 | 1,626,180,018,000 | MEMBER | null | {
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} | This PR starts building up the SUPERB benchmark by including the ASR task as described in the [SUPERB paper](https://arxiv.org/abs/2105.01051) and `s3prl` [instructions](https://github.com/s3prl/s3prl/tree/v0.2.0/downstream#asr-automatic-speech-recognition).
Usage:
```python
from datasets import load_dataset
... | https://api.github.com/repos/huggingface/datasets/issues/2619/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2618 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2618/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2618/comments | https://api.github.com/repos/huggingface/datasets/issues/2618/events | https://github.com/huggingface/datasets/issues/2618 | 940,852,640 | MDU6SXNzdWU5NDA4NTI2NDA= | 2,618 | `filelock.py` Error | {
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"Hi @liyucheng09, thanks for reporting.\r\n\r\nApparently this issue has to do with your environment setup. One question: is your data in an NFS share? Some people have reported this error when using `fcntl` to write to an NFS share... If this is the case, then it might be that your NFS just may not be set up to pr... | 1,625,843,569,000 | 1,626,070,830,000 | null | NONE | null | null | ## Describe the bug
It seems that the `filelock.py` went error.
```
>>> ds=load_dataset('xsum')
^CTraceback (most recent call last):
File "/user/HS502/yl02706/.conda/envs/lyc/lib/python3.6/site-packages/datasets/utils/filelock.py", line 402, in _acquire
fcntl.flock(fd, fcntl.LOCK_EX | fcntl.LOCK_NB)
... | https://api.github.com/repos/huggingface/datasets/issues/2618/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2617 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2617/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2617/comments | https://api.github.com/repos/huggingface/datasets/issues/2617/events | https://github.com/huggingface/datasets/pull/2617 | 940,846,847 | MDExOlB1bGxSZXF1ZXN0Njg2ODU3NzQz | 2,617 | Fix missing EOL issue in to_json for old versions of pandas | {
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} | Some versions of pandas don't add an EOL at the end of the output of `to_json`.
Therefore users could end up having two samples in the same line
Close https://github.com/huggingface/datasets/issues/2615 | https://api.github.com/repos/huggingface/datasets/issues/2617/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2616 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2616/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2616/comments | https://api.github.com/repos/huggingface/datasets/issues/2616/events | https://github.com/huggingface/datasets/pull/2616 | 940,799,038 | MDExOlB1bGxSZXF1ZXN0Njg2ODE3NjYz | 2,616 | Support remote data files | {
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"@lhoestq maybe we could also use (if available) the ETag of the remote file in `create_config_id`?",
"> @lhoestq maybe we could also use (if available) the ETag of the remote file in `create_config_id`?\r\n\r\nSure ! We can get the ETag with\r\n```python\r\nheaders = get_authentication_headers_for_url(url, use_a... | 1,625,839,658,000 | 1,625,847,221,000 | 1,625,847,221,000 | MEMBER | null | {
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} | Add support for (streaming) remote data files:
```python
data_files = f"https://huggingface.co/datasets/{repo_id}/resolve/main/{relative_file_path}"
ds = load_dataset("json", split="train", data_files=data_files, streaming=True)
```
cc: @thomwolf | https://api.github.com/repos/huggingface/datasets/issues/2616/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2615 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2615/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2615/comments | https://api.github.com/repos/huggingface/datasets/issues/2615/events | https://github.com/huggingface/datasets/issues/2615 | 940,794,339 | MDU6SXNzdWU5NDA3OTQzMzk= | 2,615 | Jsonlines export error | {
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"Thanks for reporting @TevenLeScao! I'm having a look...",
"(not sure what just happened on the assignations sorry)",
"For some reason this happens (both `datasets` version are on master) only on Python 3.6 and not Python 3.8.",
"@TevenLeScao we are using `pandas` to serialize the dataset to JSON Lines. So it... | 1,625,839,325,000 | 1,625,844,547,000 | 1,625,844,513,000 | MEMBER | null | null | ## Describe the bug
When exporting large datasets in jsonlines (c4 in my case) the created file has an error every 9999 lines: the 9999th and 10000th are concatenated, thus breaking the jsonlines format. This sounds like it is related to batching, which is by 10000 by default
## Steps to reproduce the bug
This wha... | https://api.github.com/repos/huggingface/datasets/issues/2615/timeline | null | false |
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} | This PR follows up on #2612 to use `numpy.ndarray.item` instead of `numpy.ndarray.tolist` as the latter is somewhat confusing to the developer (even though it works).
Judging from the `numpy` docs, `ndarray.item` is closer to what we want: https://numpy.org/doc/stable/reference/generated/numpy.ndarray.item.html#nump... | https://api.github.com/repos/huggingface/datasets/issues/2613/timeline | null | true |
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The reason behind this is that our Hub evaluation framework relies on converting benchmark-specific metrics to YAML ([example](https://huggingface.co/datasets/autonlp/autonlp-benchmark-raft-neelalex__raft-test-... | https://api.github.com/repos/huggingface/datasets/issues/2612/timeline | null | true |
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Close #2607. | https://api.github.com/repos/huggingface/datasets/issues/2608/timeline | null | true |
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"Updating to pyarrow-4.0.1 didn't fix the issue",
"Here is an exemple dataset with 2 of these compressed JSON files: https://huggingface.co/datasets/thomwolf/github-python",
"Hi @thomwolf, thanks for reporting.\r\n\r\nIt seems this might be due to the fact that the JSON Dataset builder uses `pyarrow.json` (`paj... | 1,625,657,793,000 | 1,626,774,619,000 | 1,625,760,521,000 | MEMBER | null | null | ## Describe the bug
Using streaming to iterate on local gzip compressed JSON files raise a file not exist error
## Steps to reproduce the bug
```python
from datasets import load_dataset
streamed_dataset = load_dataset('json', split='train', data_files=data_files, streaming=True)
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While training the model on sentence split the task in English we require to evaluate the trained model on `Exact Match`, `SARI` and `BLEU` score
like this
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} | During the FLAX sprint some users have this error when streaming datasets:
```python
aiohttp.client_exceptions.ClientOSError: [Errno 104] Connection reset by peer
```
This error must trigger a retry instead of directly crashing
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"Hi !\r\nIf we want something more general, we could either\r\n1. delete the extracted files after the arrow data generation automatically, or \r\n2. delete each extracted file during the arrow generation right after it has been closed.\r\n\r\nSolution 2 is better to save disk space during the arrow generation. Is ... | 1,625,644,576,000 | 1,626,685,698,000 | 1,626,685,698,000 | MEMBER | null | null | I'm loading a dataset constituted of 44 GB of compressed JSON files.
When loading the dataset with the JSON script, extracting the files create about 200 GB of uncompressed files before creating the 180GB of arrow cache tables
Having a simple way to delete the extracted files after usage (or even better, to strea... | https://api.github.com/repos/huggingface/datasets/issues/2604/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2603 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2603/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2603/comments | https://api.github.com/repos/huggingface/datasets/issues/2603/events | https://github.com/huggingface/datasets/pull/2603 | 938,588,149 | MDExOlB1bGxSZXF1ZXN0Njg0OTQ0ODcz | 2,603 | Fix DuplicatedKeysError in omp | {
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https://api.github.com/repos/huggingface/datasets/issues/2602 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2602/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2602/comments | https://api.github.com/repos/huggingface/datasets/issues/2602/events | https://github.com/huggingface/datasets/pull/2602 | 938,555,712 | MDExOlB1bGxSZXF1ZXN0Njg0OTE5MjMy | 2,602 | Remove import of transformers | {
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} | When pickling a tokenizer within multiprocessing, check that is instance of transformers PreTrainedTokenizerBase without importing transformers.
Related to huggingface/transformers#12549 and #502. | https://api.github.com/repos/huggingface/datasets/issues/2602/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2601 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2601/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2601/comments | https://api.github.com/repos/huggingface/datasets/issues/2601/events | https://github.com/huggingface/datasets/pull/2601 | 938,096,396 | MDExOlB1bGxSZXF1ZXN0Njg0NTQyNjY5 | 2,601 | Fix `filter` with multiprocessing in case all samples are discarded | {
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"title... | [] | 1,625,591,188,000 | 1,626,099,035,000 | 1,625,662,231,000 | CONTRIBUTOR | null | {
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} | Fixes #2600
Also I moved the check for `num_proc` larger than dataset size added in #2566 up so that multiprocessing is not used with one process. | https://api.github.com/repos/huggingface/datasets/issues/2601/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2600 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2600/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2600/comments | https://api.github.com/repos/huggingface/datasets/issues/2600/events | https://github.com/huggingface/datasets/issues/2600 | 938,086,745 | MDU6SXNzdWU5MzgwODY3NDU= | 2,600 | Crash when using multiprocessing (`num_proc` > 1) on `filter` and all samples are discarded | {
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] | closed | false | null | [] | null | [] | 1,625,590,405,000 | 1,625,662,231,000 | 1,625,662,231,000 | CONTRIBUTOR | null | null | ## Describe the bug
If `filter` is applied to a dataset using multiprocessing (`num_proc` > 1) and all sharded datasets are empty afterwards (due to all samples being discarded), the program crashes.
## Steps to reproduce the bug
```python
from datasets import Dataset
data = Dataset.from_dict({'id': [0,1]})
dat... | https://api.github.com/repos/huggingface/datasets/issues/2600/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2599 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2599/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2599/comments | https://api.github.com/repos/huggingface/datasets/issues/2599/events | https://github.com/huggingface/datasets/pull/2599 | 937,980,229 | MDExOlB1bGxSZXF1ZXN0Njg0NDQ2MTYx | 2,599 | Update processing.rst with other export formats | {
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https://api.github.com/repos/huggingface/datasets/issues/2598 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2598/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2598/comments | https://api.github.com/repos/huggingface/datasets/issues/2598/events | https://github.com/huggingface/datasets/issues/2598 | 937,930,632 | MDU6SXNzdWU5Mzc5MzA2MzI= | 2,598 | Unable to download omp dataset | {
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"Hi @erikadistefano , thanks for reporting the issue.\r\n\r\nI have created a Pull Request that should fix it. \r\n\r\nOnce merged into master, feel free to update your installed `datasets` library (either by installing it from our GitHub master branch or waiting until our next release) to be able to load omp datas... | 1,625,580,052,000 | 1,625,662,595,000 | 1,625,662,595,000 | NONE | null | null | ## Describe the bug
The omp dataset cannot be downloaded because of a DuplicatedKeysError
## Steps to reproduce the bug
from datasets import load_dataset
omp = load_dataset('omp', 'posts_labeled')
print(omp)
## Expected results
This code should download the omp dataset and print the dictionary
## Actual r... | https://api.github.com/repos/huggingface/datasets/issues/2598/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2597 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2597/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2597/comments | https://api.github.com/repos/huggingface/datasets/issues/2597/events | https://github.com/huggingface/datasets/pull/2597 | 937,917,770 | MDExOlB1bGxSZXF1ZXN0Njg0Mzk0MDIz | 2,597 | Remove redundant prepare_module | {
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https://api.github.com/repos/huggingface/datasets/issues/2596 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2596/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2596/comments | https://api.github.com/repos/huggingface/datasets/issues/2596/events | https://github.com/huggingface/datasets/issues/2596 | 937,598,914 | MDU6SXNzdWU5Mzc1OTg5MTQ= | 2,596 | Transformer Class on dataset | {
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"Hi ! Do you have an example in mind that shows how this could be useful ?",
"Example:\n\nMerge 2 datasets into one datasets\n\nLabel extraction from dataset\n\ndataset(text, label)\n —> dataset(text, newlabel)\n\nTextCleaning.\n\n\nFor image dataset, \nTransformation are easier (ie linear algebra).\n\n\n\n\n\n... | 1,625,556,435,000 | 1,625,732,525,000 | null | NONE | null | null | Just wondering if you have intenttion to create
TransformerClass :
dataset --> dataset
and make determnistic transformation (ie not fit).
| https://api.github.com/repos/huggingface/datasets/issues/2596/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2595 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2595/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2595/comments | https://api.github.com/repos/huggingface/datasets/issues/2595/events | https://github.com/huggingface/datasets/issues/2595 | 937,483,120 | MDU6SXNzdWU5Mzc0ODMxMjA= | 2,595 | ModuleNotFoundError: No module named 'datasets.tasks' while importing common voice datasets | {
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"Hi @profsatwinder.\r\n\r\nIt looks like you are using an old version of `datasets`. Please update it with `pip install -U datasets` and indicate if the problem persists.",
"@albertvillanova Thanks for the information. I updated it to 1.9.0 and the issue is resolved. Thanks again. "
] | 1,625,541,655,000 | 1,625,551,189,000 | 1,625,551,189,000 | NONE | null | null | Error traceback:
---------------------------------------------------------------------------
ModuleNotFoundError Traceback (most recent call last)
<ipython-input-8-a7b592d3bca0> in <module>()
1 from datasets import load_dataset, load_metric
2
----> 3 common_voice_train = load_da... | https://api.github.com/repos/huggingface/datasets/issues/2595/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2594 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2594/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2594/comments | https://api.github.com/repos/huggingface/datasets/issues/2594/events | https://github.com/huggingface/datasets/pull/2594 | 937,294,772 | MDExOlB1bGxSZXF1ZXN0NjgzODc0NjIz | 2,594 | Fix BibTeX entry | {
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https://api.github.com/repos/huggingface/datasets/issues/2593 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2593/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2593/comments | https://api.github.com/repos/huggingface/datasets/issues/2593/events | https://github.com/huggingface/datasets/pull/2593 | 937,242,137 | MDExOlB1bGxSZXF1ZXN0NjgzODMwMjcy | 2,593 | Support pandas 1.3.0 read_csv | {
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} | Workaround for this issue in pandas 1.3.0 : https://github.com/pandas-dev/pandas/issues/42387
The csv reader raises an error:
```python
/usr/local/lib/python3.7/dist-packages/pandas/io/parsers/readers.py in _refine_defaults_read(dialect, delimiter, delim_whitespace, engine, sep, error_bad_lines, warn_bad_lines, on... | https://api.github.com/repos/huggingface/datasets/issues/2593/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2592 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2592/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2592/comments | https://api.github.com/repos/huggingface/datasets/issues/2592/events | https://github.com/huggingface/datasets/pull/2592 | 937,060,559 | MDExOlB1bGxSZXF1ZXN0NjgzNjc2MjA4 | 2,592 | Add c4.noclean infos | {
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https://api.github.com/repos/huggingface/datasets/issues/2591 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2591/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2591/comments | https://api.github.com/repos/huggingface/datasets/issues/2591/events | https://github.com/huggingface/datasets/issues/2591 | 936,957,975 | MDU6SXNzdWU5MzY5NTc5NzU= | 2,591 | Cached dataset overflowing disk space | {
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"Hi! I'm transferring this issue over to `datasets`",
"I'm using the datasets concatenate dataset to combine the datasets and then train.\r\ntrain_dataset = concatenate_datasets([dataset1, dataset2, common_voice_train])\r\n\r\n",
"Hi @BirgerMoell.\r\n\r\nYou have several options:\r\n- to set caching to be store... | 1,625,481,799,000 | 1,626,685,699,000 | 1,626,685,699,000 | CONTRIBUTOR | null | null | I'm training a Swedish Wav2vec2 model on a Linux GPU and having issues that the huggingface cached dataset folder is completely filling up my disk space (I'm training on a dataset of around 500 gb).
The cache folder is 500gb (and now my disk space is full).
Is there a way to toggle caching or set the caching to b... | https://api.github.com/repos/huggingface/datasets/issues/2591/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2590 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2590/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2590/comments | https://api.github.com/repos/huggingface/datasets/issues/2590/events | https://github.com/huggingface/datasets/pull/2590 | 936,954,348 | MDExOlB1bGxSZXF1ZXN0NjgzNTg1MDg2 | 2,590 | Add language tags | {
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https://api.github.com/repos/huggingface/datasets/issues/2589 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2589/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2589/comments | https://api.github.com/repos/huggingface/datasets/issues/2589/events | https://github.com/huggingface/datasets/pull/2589 | 936,825,060 | MDExOlB1bGxSZXF1ZXN0NjgzNDc0OTQ0 | 2,589 | Support multilabel metrics | {
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"Hi ! Thanks for the fix :)\r\n\r\nIf I understand correctly, `OptionalSequence` doesn't have an associated arrow type that we know in advance unlike the other feature types, because it depends on the type of the examples.\r\n\r\nFor example, I tested this and it raises an error:\r\n```python\r\nimport datasets as ... | 1,625,473,165,000 | 1,626,099,130,000 | 1,625,733,615,000 | MEMBER | null | {
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} | Currently, multilabel metrics are not supported because `predictions` and `references` are defined as `Value("int32")`.
This PR creates a new feature type `OptionalSequence` which can act as either `Value("int32")` or `Sequence(Value("int32"))`, depending on the data passed.
Close #2554. | https://api.github.com/repos/huggingface/datasets/issues/2589/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2588 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2588/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2588/comments | https://api.github.com/repos/huggingface/datasets/issues/2588/events | https://github.com/huggingface/datasets/pull/2588 | 936,795,541 | MDExOlB1bGxSZXF1ZXN0NjgzNDQ5Njky | 2,588 | Fix test_is_small_dataset | {
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} | Remove environment variable fixture `env_max_in_memory_dataset_size`. This fixture does not work because env variable is read in datasets.config when first loading datasets, and it is never reread during tests. | https://api.github.com/repos/huggingface/datasets/issues/2588/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2587 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2587/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2587/comments | https://api.github.com/repos/huggingface/datasets/issues/2587/events | https://github.com/huggingface/datasets/pull/2587 | 936,771,339 | MDExOlB1bGxSZXF1ZXN0NjgzNDI5NjQy | 2,587 | Add aiohttp to tests extras require | {
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} | Currently, none of the streaming tests are runned within our CI test suite, because the streaming tests require aiohttp and this is missing from our tests extras require dependencies.
Our CI test suite should be exhaustive and test all the library functionalities. | https://api.github.com/repos/huggingface/datasets/issues/2587/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2586 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2586/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2586/comments | https://api.github.com/repos/huggingface/datasets/issues/2586/events | https://github.com/huggingface/datasets/pull/2586 | 936,747,588 | MDExOlB1bGxSZXF1ZXN0NjgzNDEwMDU3 | 2,586 | Fix misalignment in SQuAD | {
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} | Fix misalignment between:
- the answer text and
- the answer_start within the context
by keeping original leading blank spaces in the context.
Fix #2585. | https://api.github.com/repos/huggingface/datasets/issues/2586/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2585 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2585/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2585/comments | https://api.github.com/repos/huggingface/datasets/issues/2585/events | https://github.com/huggingface/datasets/issues/2585 | 936,484,419 | MDU6SXNzdWU5MzY0ODQ0MTk= | 2,585 | sqaud_v2 dataset contains misalignment between the answer text and the context value at the answer index | {
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"Hi @mmajurski, thanks for reporting this issue.\r\n\r\nIndeed this misalignment arises because the source dataset context field contains leading blank spaces (and these are counted within the answer_start), while our datasets loading script removes these leading blank spaces.\r\n\r\nI'm going to fix our script so ... | 1,625,413,189,000 | 1,625,663,931,000 | 1,625,663,931,000 | NONE | null | null | ## Describe the bug
The built in huggingface squad_v2 dataset that you can access via datasets.load_dataset contains mis-alignment between the answers['text'] and the characters in the context at the location specified by answers['answer_start'].
For example:
id = '56d1f453e7d4791d009025bd'
answers = {'text': ['P... | https://api.github.com/repos/huggingface/datasets/issues/2585/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2584 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2584/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2584/comments | https://api.github.com/repos/huggingface/datasets/issues/2584/events | https://github.com/huggingface/datasets/pull/2584 | 936,049,736 | MDExOlB1bGxSZXF1ZXN0NjgyODY2Njc1 | 2,584 | wi_locness: reference latest leaderboard on codalab | {
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} | The dataset's author asked me to put this codalab link into the dataset's README. | https://api.github.com/repos/huggingface/datasets/issues/2584/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2583 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2583/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2583/comments | https://api.github.com/repos/huggingface/datasets/issues/2583/events | https://github.com/huggingface/datasets/issues/2583 | 936,034,976 | MDU6SXNzdWU5MzYwMzQ5NzY= | 2,583 | Error iteration over IterableDataset using Torch DataLoader | {
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"Hi ! This is because you first need to format the dataset for pytorch:\r\n\r\n```python\r\n>>> import torch\r\n>>> from datasets import load_dataset\r\n>>> dataset = load_dataset('oscar', \"unshuffled_deduplicated_en\", split='train', streaming=True)\r\n>>> torch_iterable_dataset = dataset.with_format(\"torch\")\r... | 1,625,255,758,000 | 1,626,771,885,000 | 1,625,528,903,000 | NONE | null | null | ## Describe the bug
I have an IterableDataset (created using streaming=True) and I am trying to create batches using Torch DataLoader class by passing this IterableDataset to it. This throws error which is pasted below. I can do the same by using Torch IterableDataset. One thing I noticed is that in the former case wh... | https://api.github.com/repos/huggingface/datasets/issues/2583/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2582 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2582/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2582/comments | https://api.github.com/repos/huggingface/datasets/issues/2582/events | https://github.com/huggingface/datasets/pull/2582 | 935,859,104 | MDExOlB1bGxSZXF1ZXN0NjgyNzAzNzg3 | 2,582 | Add skip and take | {
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"@lhoestq looks good. I tried with https://huggingface.co/datasets/vblagoje/wikipedia_snippets_streamed and it worked nicely. I would add more unit tests for edge cases. What happens if the n is larger than the total number of samples? Just to make sure these cases are handled properly. ",
"Yup I'll add the tests... | 1,625,238,619,000 | 1,625,501,200,000 | 1,625,501,199,000 | MEMBER | null | {
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} | As discussed in https://github.com/huggingface/datasets/pull/2375#discussion_r657084544 I added the `IterableDataset.skip` and `IterableDataset.take` methods that allows to do basic splitting of iterable datasets.
You can create new dataset with the first `n` examples using `IterableDataset.take()`, or you can get a... | https://api.github.com/repos/huggingface/datasets/issues/2582/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2581 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2581/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2581/comments | https://api.github.com/repos/huggingface/datasets/issues/2581/events | https://github.com/huggingface/datasets/pull/2581 | 935,783,588 | MDExOlB1bGxSZXF1ZXN0NjgyNjQwMDY4 | 2,581 | Faster search_batch for ElasticsearchIndex due to threading | {
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I think it makes sense to perform search_batch threaded, so ES can perform search in parallel.
Cheers! | https://api.github.com/repos/huggingface/datasets/issues/2581/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2580 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2580/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2580/comments | https://api.github.com/repos/huggingface/datasets/issues/2580/events | https://github.com/huggingface/datasets/pull/2580 | 935,767,421 | MDExOlB1bGxSZXF1ZXN0NjgyNjI2MTkz | 2,580 | Fix Counter import | {
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https://api.github.com/repos/huggingface/datasets/issues/2579 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2579/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2579/comments | https://api.github.com/repos/huggingface/datasets/issues/2579/events | https://github.com/huggingface/datasets/pull/2579 | 935,486,894 | MDExOlB1bGxSZXF1ZXN0NjgyMzkyNjYx | 2,579 | Fix BibTeX entry | {
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cc: @abhishekkrthakur @thomwolf | https://api.github.com/repos/huggingface/datasets/issues/2579/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2578 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2578/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2578/comments | https://api.github.com/repos/huggingface/datasets/issues/2578/events | https://github.com/huggingface/datasets/pull/2578 | 935,187,497 | MDExOlB1bGxSZXF1ZXN0NjgyMTQ0OTY2 | 2,578 | Support Zstandard compressed files | {
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"> What if people want to run some tests without having zstandard ?\r\n> Usually what we do is add a decorator @require_zstandard for example\r\n\r\n@lhoestq I think I'm missing something here...\r\n\r\nTests are a *development* tool (to ensure we deliver a good quality lib), not something we offer to the end users... | 1,625,170,954,000 | 1,628,693,184,000 | 1,625,482,227,000 | MEMBER | null | {
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cc: @thomwolf | https://api.github.com/repos/huggingface/datasets/issues/2578/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2576 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2576/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2576/comments | https://api.github.com/repos/huggingface/datasets/issues/2576/events | https://github.com/huggingface/datasets/pull/2576 | 934,986,761 | MDExOlB1bGxSZXF1ZXN0NjgxOTc5MTA1 | 2,576 | Add mC4 | {
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} | AllenAI is now hosting the processed C4 and mC4 dataset in this repo: https://huggingface.co/datasets/allenai/c4
Thanks a lot to them !
In this PR I added the mC4 dataset builder. It supports 108 languages
You can load it with
```python
from datasets import load_dataset
en_mc4 = load_dataset("mc4", "en")
f... | https://api.github.com/repos/huggingface/datasets/issues/2576/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2575 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2575/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2575/comments | https://api.github.com/repos/huggingface/datasets/issues/2575/events | https://github.com/huggingface/datasets/pull/2575 | 934,876,496 | MDExOlB1bGxSZXF1ZXN0NjgxODg0OTgy | 2,575 | Add C4 | {
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} | The old code for the C4 dataset was to generate the C4 with Apache Beam, as in Tensorflow Datasets.
However AllenAI is now hosting the processed C4 dataset in this repo: https://huggingface.co/datasets/allenai/c4
Thanks a lot to them for their amazing work !
In this PR I changed the script to download and prepare ... | https://api.github.com/repos/huggingface/datasets/issues/2575/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2574 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2574/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2574/comments | https://api.github.com/repos/huggingface/datasets/issues/2574/events | https://github.com/huggingface/datasets/pull/2574 | 934,632,378 | MDExOlB1bGxSZXF1ZXN0NjgxNjczMzYy | 2,574 | Add streaming in load a dataset docs | {
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https://api.github.com/repos/huggingface/datasets/issues/2573 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2573/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2573/comments | https://api.github.com/repos/huggingface/datasets/issues/2573/events | https://github.com/huggingface/datasets/issues/2573 | 934,584,745 | MDU6SXNzdWU5MzQ1ODQ3NDU= | 2,573 | Finding right block-size with JSON loading difficult for user | {
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"This was actually a second error arising from a too small block-size in the json reader.\r\n\r\nFinding the right block size is difficult for the layman user"
] | 1,625,129,315,000 | 1,625,166,653,000 | null | MEMBER | null | null | As reported by @thomwolf, while loading a JSON Lines file with "json" loading script, he gets
> json.decoder.JSONDecodeError: Extra data: line 2 column 1 (char 383)
| https://api.github.com/repos/huggingface/datasets/issues/2573/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2572 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2572/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2572/comments | https://api.github.com/repos/huggingface/datasets/issues/2572/events | https://github.com/huggingface/datasets/issues/2572 | 934,573,767 | MDU6SXNzdWU5MzQ1NzM3Njc= | 2,572 | Support Zstandard compressed files | {
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"I am trying to load a dataset using Hugging Face Datasets load_dataset method. I am getting the value error as show below. Can someone help with this? I am using Windows laptop and Google Colab notebook.\r\n\r\n```\r\n!pip install zstandard\r\nfrom datasets import load_dataset\r\n\r\nlds = load_dataset(\r\n \"j... | 1,625,128,624,000 | 1,625,482,227,000 | 1,625,482,227,000 | MEMBER | null | null | Add support for Zstandard compressed files: https://facebook.github.io/zstd/ | https://api.github.com/repos/huggingface/datasets/issues/2572/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2571 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2571/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2571/comments | https://api.github.com/repos/huggingface/datasets/issues/2571/events | https://github.com/huggingface/datasets/pull/2571 | 933,791,018 | MDExOlB1bGxSZXF1ZXN0NjgwOTQ2NzQ1 | 2,571 | Filter expected warning log from transformers | {
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"I think the failing test has nothing to do with my PR..."
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https://api.github.com/repos/huggingface/datasets/issues/2570 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2570/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2570/comments | https://api.github.com/repos/huggingface/datasets/issues/2570/events | https://github.com/huggingface/datasets/pull/2570 | 933,402,521 | MDExOlB1bGxSZXF1ZXN0NjgwNjEzNzc0 | 2,570 | Minor fix docs format for bertscore | {
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} | Minor fix docs format for bertscore:
- link to README
- format of KWARGS_DESCRIPTION | https://api.github.com/repos/huggingface/datasets/issues/2570/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2569 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2569/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2569/comments | https://api.github.com/repos/huggingface/datasets/issues/2569/events | https://github.com/huggingface/datasets/issues/2569 | 933,015,797 | MDU6SXNzdWU5MzMwMTU3OTc= | 2,569 | Weights of model checkpoint not initialized for RobertaModel for Bertscore | {
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"Hi @suzyahyah, thanks for reporting.\r\n\r\nThe message you get is indeed not an error message, but a warning coming from Hugging Face `transformers`. The complete warning message is:\r\n```\r\nSome weights of the model checkpoint at roberta-large were not used when initializing RobertaModel: ['lm_head.decoder.wei... | 1,624,992,923,000 | 1,625,123,339,000 | 1,625,038,549,000 | NONE | null | null | When applying bertscore out of the box,
```Some weights of the model checkpoint at roberta-large were not used when initializing RobertaModel: ['lm_head.decoder.weight', 'lm_head.bias', 'lm_head.dense.bias', 'lm_head.layer_norm.bias', 'lm_head.dense.weight', 'lm_head.layer_norm.weight']```
Following the typical ... | https://api.github.com/repos/huggingface/datasets/issues/2569/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2568 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2568/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2568/comments | https://api.github.com/repos/huggingface/datasets/issues/2568/events | https://github.com/huggingface/datasets/pull/2568 | 932,934,795 | MDExOlB1bGxSZXF1ZXN0NjgwMjE5MDU2 | 2,568 | Add interleave_datasets for map-style datasets | {
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} | ### Add interleave_datasets for map-style datasets
Add support for map-style datasets (i.e. `Dataset` objects) in `interleave_datasets`.
It was only supporting iterable datasets (i.e. `IterableDataset` objects).
### Implementation details
It works by concatenating the datasets and then re-order the indices to... | https://api.github.com/repos/huggingface/datasets/issues/2568/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2567 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2567/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2567/comments | https://api.github.com/repos/huggingface/datasets/issues/2567/events | https://github.com/huggingface/datasets/pull/2567 | 932,933,536 | MDExOlB1bGxSZXF1ZXN0NjgwMjE3OTY3 | 2,567 | Add ASR task and new languages to resources | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/2567",
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} | This PR adds a new `automatic-speech-recognition` task to the list of supported tasks in `tasks.json` and also includes a few new languages missing from `common_voice`.
Note: I used the [Papers with Code list](https://www.paperswithcode.com/area/speech/speech-recognition) as inspiration for the ASR subtasks | https://api.github.com/repos/huggingface/datasets/issues/2567/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2566 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2566/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2566/comments | https://api.github.com/repos/huggingface/datasets/issues/2566/events | https://github.com/huggingface/datasets/pull/2566 | 932,804,725 | MDExOlB1bGxSZXF1ZXN0NjgwMTA2NzM0 | 2,566 | fix Dataset.map when num_procs > num rows | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/2566",
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} | closes #2470
## Testing notes
To run updated tests:
```sh
pytest tests/test_arrow_dataset.py -k "BaseDatasetTest and test_map_multiprocessing" -s
```
With Python code (to view warning):
```python
from datasets import Dataset
dataset = Dataset.from_dict({"x": ["sample"]})
print(len(dataset))
dataset.map... | https://api.github.com/repos/huggingface/datasets/issues/2566/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2565 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2565/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2565/comments | https://api.github.com/repos/huggingface/datasets/issues/2565/events | https://github.com/huggingface/datasets/pull/2565 | 932,445,439 | MDExOlB1bGxSZXF1ZXN0Njc5Nzg3NTI4 | 2,565 | Inject templates for ASR datasets | {
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"Wait until #2567 is merged so we can benefit from the tagger :)",
"thanks for the feedback @lhoestq! i've added the new language codes and this PR should be ready for a merge :)"
] | 1,624,960,921,000 | 1,625,495,186,000 | 1,625,495,186,000 | MEMBER | null | {
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} | This PR adds ASR templates for 5 of the most common speech datasets on the Hub, where "common" is defined by the number of models trained on them.
I also fixed a bunch of the tags in the READMEs 😎 | https://api.github.com/repos/huggingface/datasets/issues/2565/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2564 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2564/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2564/comments | https://api.github.com/repos/huggingface/datasets/issues/2564/events | https://github.com/huggingface/datasets/issues/2564 | 932,389,639 | MDU6SXNzdWU5MzIzODk2Mzk= | 2,564 | concatenate_datasets for iterable datasets | {
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"It is probably worth noting here that the [documentation](https://huggingface.co/docs/datasets/process#concatenate) is misleading (indicating that it does work for IterableDatasets):\r\n\r\n> You can also mix several datasets together by taking alternating examples from each one to create a new dataset. This is kn... | 1,624,957,181,000 | 1,624,957,181,000 | null | MEMBER | null | null | Currently `concatenate_datasets` only works for map-style `Dataset`.
It would be nice to have it work for `IterableDataset` objects as well.
It would simply chain the iterables of the iterable datasets. | https://api.github.com/repos/huggingface/datasets/issues/2564/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2563 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2563/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2563/comments | https://api.github.com/repos/huggingface/datasets/issues/2563/events | https://github.com/huggingface/datasets/issues/2563 | 932,387,639 | MDU6SXNzdWU5MzIzODc2Mzk= | 2,563 | interleave_datasets for map-style datasets | {
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Let's make it work for map-style `Dataset` objects as well.
It would work the same way: either alternate between the datasets in order or randomly given probabilities specified by the user. | https://api.github.com/repos/huggingface/datasets/issues/2563/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2562 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2562/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2562/comments | https://api.github.com/repos/huggingface/datasets/issues/2562/events | https://github.com/huggingface/datasets/pull/2562 | 932,333,436 | MDExOlB1bGxSZXF1ZXN0Njc5NjkyMjQ2 | 2,562 | Minor fix in loading metrics docs | {
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https://api.github.com/repos/huggingface/datasets/issues/2561 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2561/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2561/comments | https://api.github.com/repos/huggingface/datasets/issues/2561/events | https://github.com/huggingface/datasets/issues/2561 | 932,321,725 | MDU6SXNzdWU5MzIzMjE3MjU= | 2,561 | Existing cache for local dataset builder file updates is ignored with `ignore_verifications=True` | {
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If i have local file defining a dataset builder class and I load it using `load_dataset` functionality, the existing cache is ignored whenever the file is update even with `ignore_verifications=True`. This slows down debugging and cache generator for very large datasets.
## Steps to reproduce th... | https://api.github.com/repos/huggingface/datasets/issues/2561/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2560 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2560/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2560/comments | https://api.github.com/repos/huggingface/datasets/issues/2560/events | https://github.com/huggingface/datasets/pull/2560 | 932,143,634 | MDExOlB1bGxSZXF1ZXN0Njc5NTMyODk4 | 2,560 | fix Dataset.map when num_procs > num rows | {
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"Hi ! Thanks for fixing this :)\r\n\r\nLooks like you have tons of changes due to code formatting.\r\nWe're using `black` for this, with a custom line length. To run our code formatting, you just need to run\r\n```\r\nmake style\r\n```\r\n\r\nThen for the windows error in the CI, I'm looking into it. It's probably ... | 1,624,933,451,000 | 1,624,978,818,000 | 1,624,978,411,000 | CONTRIBUTOR | null | {
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} | closes #2470
## Testing notes
To run updated tests:
```sh
pytest tests/test_arrow_dataset.py -k "BaseDatasetTest and test_map_multiprocessing" -s
```
With Python code (to view warning):
```python
from datasets import Dataset
dataset = Dataset.from_dict({"x": ["sample"]})
print(len(dataset))
dataset.map... | https://api.github.com/repos/huggingface/datasets/issues/2560/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2559 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2559/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2559/comments | https://api.github.com/repos/huggingface/datasets/issues/2559/events | https://github.com/huggingface/datasets/issues/2559 | 931,849,724 | MDU6SXNzdWU5MzE4NDk3MjQ= | 2,559 | Memory usage consistently increases when processing a dataset with `.map` | {
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"Hi ! Can you share the function you pass to `map` ?\r\nI know you mentioned it would be hard to share some code but this would really help to understand what happened",
"This is the same behavior as in #4883, so I'm closing this issue as a duplicate. "
] | 1,624,905,118,000 | 1,624,956,180,000 | null | NONE | null | null | ## Describe the bug
I have a HF dataset with image paths stored in it and I am trying to load those image paths using `.map` with `num_proc=80`. I am noticing that the memory usage consistently keeps on increasing with time. I tried using `DEFAULT_WRITER_BATCH_SIZE=10` in the builder to decrease arrow writer's batch... | https://api.github.com/repos/huggingface/datasets/issues/2559/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2558 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2558/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2558/comments | https://api.github.com/repos/huggingface/datasets/issues/2558/events | https://github.com/huggingface/datasets/pull/2558 | 931,736,647 | MDExOlB1bGxSZXF1ZXN0Njc5MTg0Njk1 | 2,558 | Update: WebNLG - update checksums | {
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} | The master branch changed so I computed the new checksums.
I also pinned a specific revision so that it doesn't happen again in the future.
Fix https://github.com/huggingface/datasets/issues/2553 | https://api.github.com/repos/huggingface/datasets/issues/2558/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2557 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2557/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2557/comments | https://api.github.com/repos/huggingface/datasets/issues/2557/events | https://github.com/huggingface/datasets/pull/2557 | 931,633,823 | MDExOlB1bGxSZXF1ZXN0Njc5MDk4ODg3 | 2,557 | Fix `fever` keys | {
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I fixed it by taking into account the file index as well. | https://api.github.com/repos/huggingface/datasets/issues/2557/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2556 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2556/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2556/comments | https://api.github.com/repos/huggingface/datasets/issues/2556/events | https://github.com/huggingface/datasets/issues/2556 | 931,595,872 | MDU6SXNzdWU5MzE1OTU4NzI= | 2,556 | Better DuplicateKeysError error to help the user debug the issue | {
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"excuse me, my `datasets` version is `2.2.2`, but I also just see the error info like \r\n```\r\nDuplicatedKeysError: FAILURE TO GENERATE DATASET !\r\nFound duplicate Key: 0\r\nKeys should be unique and deterministic in nature\r\n```",
"Hi ! for which dataset do you have this error ?\r\n\r\nAlso note that this is... | 1,624,888,257,000 | 1,624,888,257,000 | null | MEMBER | null | null | As mentioned in https://github.com/huggingface/datasets/issues/2552 it would be nice to improve the error message when a dataset fails to build because there are duplicate example keys.
The current one is
```python
datasets.keyhash.DuplicatedKeysError: FAILURE TO GENERATE DATASET !
Found duplicate Key: 48
Keys s... | https://api.github.com/repos/huggingface/datasets/issues/2556/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2555 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2555/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2555/comments | https://api.github.com/repos/huggingface/datasets/issues/2555/events | https://github.com/huggingface/datasets/pull/2555 | 931,585,485 | MDExOlB1bGxSZXF1ZXN0Njc5MDU4ODM3 | 2,555 | Fix code_search_net keys | {
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"Fix #2552."
] | 1,624,887,623,000 | 1,630,571,083,000 | 1,624,889,435,000 | MEMBER | null | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/2555",
"html_url": "https://github.com/huggingface/datasets/pull/2555",
"diff_url": "https://github.com/huggingface/datasets/pull/2555.diff",
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} | There were duplicate keys in the `code_search_net` dataset, as reported in https://github.com/huggingface/datasets/issues/2552
I fixed the keys (it was an addition of the file and row indices, which was causing collisions)
Fix #2552. | https://api.github.com/repos/huggingface/datasets/issues/2555/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2554 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2554/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2554/comments | https://api.github.com/repos/huggingface/datasets/issues/2554/events | https://github.com/huggingface/datasets/issues/2554 | 931,453,855 | MDU6SXNzdWU5MzE0NTM4NTU= | 2,554 | Multilabel metrics not supported | {
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] | closed | false | null | [] | null | [
"Hi @GuillemGSubies, thanks for reporting.\r\n\r\nI have made a PR to fix this issue and allow metrics to be computed also for multilabel classification problems.",
"Looks nice, thank you very much! 🚀 ",
"Sorry for reopening but I just noticed that the `_compute` method for the F1 metric is still not good enou... | 1,624,878,586,000 | 1,625,733,615,000 | 1,625,733,615,000 | NONE | null | null | When I try to use a metric like F1 macro I get the following error:
```
TypeError: int() argument must be a string, a bytes-like object or a number, not 'list'
```
There is an explicit casting here:
https://github.com/huggingface/datasets/blob/fc79f61cbbcfa0e8c68b28c0a8257f17e768a075/src/datasets/features.py#L... | https://api.github.com/repos/huggingface/datasets/issues/2554/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2553 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2553/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2553/comments | https://api.github.com/repos/huggingface/datasets/issues/2553/events | https://github.com/huggingface/datasets/issues/2553 | 931,365,926 | MDU6SXNzdWU5MzEzNjU5MjY= | 2,553 | load_dataset("web_nlg") NonMatchingChecksumError | {
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"Hi ! Thanks for reporting. This is due to the WebNLG repository that got updated today.\r\nI just pushed a fix at #2558 - this shouldn't happen anymore in the future.",
"This is fixed on `master` now :)\r\nWe'll do a new release soon !"
] | 1,624,872,406,000 | 1,624,901,019,000 | 1,624,900,996,000 | NONE | null | null | Hi! It seems the WebNLG dataset gives a NonMatchingChecksumError.
## Steps to reproduce the bug
```python
from datasets import load_dataset
dataset = load_dataset('web_nlg', name="release_v3.0_en", split="dev")
```
Gives
```
NonMatchingChecksumError: Checksums didn't match for dataset source files:
['h... | https://api.github.com/repos/huggingface/datasets/issues/2553/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2552 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2552/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2552/comments | https://api.github.com/repos/huggingface/datasets/issues/2552/events | https://github.com/huggingface/datasets/issues/2552 | 931,354,687 | MDU6SXNzdWU5MzEzNTQ2ODc= | 2,552 | Keys should be unique error on code_search_net | {
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] | closed | false | null | [] | null | [
"Two questions:\r\n- with `datasets-cli env` we don't have any information on the dataset script version used. Should we give access to this somehow? Either as a note in the Error message or as an argument with the name of the dataset to `datasets-cli env`?\r\n- I don't really understand why the id is duplicated in... | 1,624,871,720,000 | 1,630,937,310,000 | 1,630,571,129,000 | MEMBER | null | null | ## Describe the bug
Loading `code_search_net` seems not possible at the moment.
## Steps to reproduce the bug
```python
>>> load_dataset('code_search_net')
Downloading: 8.50kB [00:00, 3.09MB/s] ... | https://api.github.com/repos/huggingface/datasets/issues/2552/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2551 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2551/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2551/comments | https://api.github.com/repos/huggingface/datasets/issues/2551/events | https://github.com/huggingface/datasets/pull/2551 | 930,967,978 | MDExOlB1bGxSZXF1ZXN0Njc4NTQzMjg1 | 2,551 | Fix FileSystems documentation | {
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"followers_url": "https://api... | [] | closed | false | null | [] | null | [] | 1,624,810,722,000 | 1,624,885,795,000 | 1,624,885,794,000 | CONTRIBUTOR | null | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/2551",
"html_url": "https://github.com/huggingface/datasets/pull/2551",
"diff_url": "https://github.com/huggingface/datasets/pull/2551.diff",
"patch_url": "https://github.com/huggingface/datasets/pull/2551.patch"
} | ### What this fixes:
This PR resolves several issues I discovered in the documentation on the `datasets.filesystems` module ([this page](https://huggingface.co/docs/datasets/filesystems.html)).
### What were the issues?
When I originally tried implementing the code examples I faced several bugs attributed to:
-... | https://api.github.com/repos/huggingface/datasets/issues/2551/timeline | null | true |
https://api.github.com/repos/huggingface/datasets/issues/2550 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2550/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2550/comments | https://api.github.com/repos/huggingface/datasets/issues/2550/events | https://github.com/huggingface/datasets/issues/2550 | 930,951,287 | MDU6SXNzdWU5MzA5NTEyODc= | 2,550 | Allow for incremental cumulative metric updates in a distributed setup | {
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"name": "enhancement",
"color": "a2eeef",
"default": true,
"description": "New feature or request"
}
] | open | false | null | [] | null | [] | 1,624,806,058,000 | 1,624,814,189,000 | null | NONE | null | null | Currently, using a metric allows for one of the following:
- Per example/batch metrics
- Cumulative metrics over the whole data
What I'd like is to have an efficient way to get cumulative metrics over the examples/batches added so far, in order to display it as part of the progress bar during training/evaluation.
... | https://api.github.com/repos/huggingface/datasets/issues/2550/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2549 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2549/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2549/comments | https://api.github.com/repos/huggingface/datasets/issues/2549/events | https://github.com/huggingface/datasets/issues/2549 | 929,819,093 | MDU6SXNzdWU5Mjk4MTkwOTM= | 2,549 | Handling unlabeled datasets | {
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] | closed | false | null | [] | null | [
"Hi @nelson-liu,\r\n\r\nYou can pass the parameter `features` to `load_dataset`: https://huggingface.co/docs/datasets/_modules/datasets/load.html#load_dataset\r\n\r\nIf you look at the code of the MNLI script you referred in your question (https://github.com/huggingface/datasets/blob/master/datasets/multi_nli/multi... | 1,624,595,543,000 | 1,624,655,277,000 | 1,624,655,276,000 | NONE | null | null | Hi!
Is there a way for datasets to produce unlabeled instances (e.g., the `ClassLabel` can be nullable).
For example, I want to use the MNLI dataset reader ( https://github.com/huggingface/datasets/blob/master/datasets/multi_nli/multi_nli.py ) on a file that doesn't have the `gold_label` field. I tried setting `"... | https://api.github.com/repos/huggingface/datasets/issues/2549/timeline | null | false |
https://api.github.com/repos/huggingface/datasets/issues/2548 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2548/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2548/comments | https://api.github.com/repos/huggingface/datasets/issues/2548/events | https://github.com/huggingface/datasets/issues/2548 | 929,232,831 | MDU6SXNzdWU5MjkyMzI4MzE= | 2,548 | Field order issue in loading json | {
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"name": "bug",
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"default": true,
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] | closed | false | null | [] | null | [
"Hi @luyug, thanks for reporting.\r\n\r\nThe good news is that we fixed this issue only 9 days ago: #2507.\r\n\r\nThe patch is already in the master branch of our repository and it will be included in our next `datasets` release version 1.9.0.\r\n\r\nFeel free to reopen the issue if the problem persists."
] | 1,624,541,393,000 | 1,624,545,403,000 | 1,624,545,245,000 | NONE | null | null | ## Describe the bug
The `load_dataset` function expects columns in alphabetical order when loading json files.
Similar bug was previously reported for csv in #623 and fixed in #684.
## Steps to reproduce the bug
For a json file `j.json`,
```
{"c":321, "a": 1, "b": 2}
```
Running the following,
```
f= data... | https://api.github.com/repos/huggingface/datasets/issues/2548/timeline | null | false |
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