html_url stringlengths 51 51 | comments stringlengths 67 24.7k | title stringlengths 6 280 | body stringlengths 51 36.2k | comment_length int64 16 1.45k | text stringlengths 190 38.3k | embeddings list |
|---|---|---|---|---|---|---|
https://github.com/huggingface/datasets/issues/3618 | Ok I see ! From the error you got, it looks like the `value` encoded in the arrow file of the TIMIT dataset you loaded is a string instead of a dictionary with keys "path" and "bytes" but we don't support this since 1.18
Can you try regenerating the dataset with `load_dataset('timit_asr', download_mode="force_redown... | TIMIT Dataset not working with GPU | ## Describe the bug
I am working trying to use the TIMIT dataset in order to fine-tune Wav2Vec2 model and I am unable to load the "audio" column from the dataset when working with a GPU.
I am working on Amazon Sagemaker Studio, on the Python 3 (PyTorch 1.8 Python 3.6 GPU Optimized) environment, with a single ml.g4... | 62 | TIMIT Dataset not working with GPU
## Describe the bug
I am working trying to use the TIMIT dataset in order to fine-tune Wav2Vec2 model and I am unable to load the "audio" column from the dataset when working with a GPU.
I am working on Amazon Sagemaker Studio, on the Python 3 (PyTorch 1.8 Python 3.6 GPU Optimi... | [
-0.14535415172576904,
-0.10408201813697815,
-0.0035637840628623962,
0.46803611516952515,
0.40129509568214417,
-0.02526737004518509,
0.4242497682571411,
0.293195903301239,
-0.10326102375984192,
0.018655482679605484,
-0.09836950898170471,
0.5495099425315857,
-0.006360629573464394,
0.27320468... |
https://github.com/huggingface/datasets/issues/3615 | @albertvillanova let me know if there is anything I can do to help with this. I had a quick look at the code again and though I could try the following changes:
- use `download` instead of `download_and_extract`
https://github.com/huggingface/datasets/blob/d3d339fb86d378f4cb3c5d1de423315c07a466c6/datasets/bnl_newspap... | Dataset BnL Historical Newspapers does not work in streaming mode | ## Describe the bug
When trying to load in streaming mode, it "hangs"...
## Steps to reproduce the bug
```python
ds = load_dataset("bnl_newspapers", split="train", streaming=True)
```
## Expected results
The code should be optimized, so that it works fast in streaming mode.
CC: @davanstrien
| 66 | Dataset BnL Historical Newspapers does not work in streaming mode
## Describe the bug
When trying to load in streaming mode, it "hangs"...
## Steps to reproduce the bug
```python
ds = load_dataset("bnl_newspapers", split="train", streaming=True)
```
## Expected results
The code should be optimized, so that... | [
-0.5219472646713257,
-0.02674219012260437,
0.006142891943454742,
0.29316943883895874,
0.2553721070289612,
0.11184167861938477,
0.12304419279098511,
0.38312360644340515,
0.17057564854621887,
-0.09610050171613693,
-0.006270706653594971,
0.07859709113836288,
-0.1458616405725479,
0.05901249498... |
https://github.com/huggingface/datasets/issues/3615 | Thanks @davanstrien.
I have already been working on it so that it can be used in the BigScience workshop.
I agree that the `rglob()` is not efficient in this case.
I tried different solutions without success:
- `iter_archive` cannot be used in this case because it does not support ZIP files yet
Finally I h... | Dataset BnL Historical Newspapers does not work in streaming mode | ## Describe the bug
When trying to load in streaming mode, it "hangs"...
## Steps to reproduce the bug
```python
ds = load_dataset("bnl_newspapers", split="train", streaming=True)
```
## Expected results
The code should be optimized, so that it works fast in streaming mode.
CC: @davanstrien
| 57 | Dataset BnL Historical Newspapers does not work in streaming mode
## Describe the bug
When trying to load in streaming mode, it "hangs"...
## Steps to reproduce the bug
```python
ds = load_dataset("bnl_newspapers", split="train", streaming=True)
```
## Expected results
The code should be optimized, so that... | [
-0.562822699546814,
-0.10827620327472687,
0.06640003621578217,
0.30919867753982544,
0.10171167552471161,
0.05883386731147766,
0.21237918734550476,
0.49812841415405273,
0.17715874314308167,
-0.08769463002681732,
-0.03138674795627594,
0.17640921473503113,
-0.20932433009147644,
-0.03907313570... |
https://github.com/huggingface/datasets/issues/3615 | I see this is fixed now 🙂. I also picked up a few other tips from your redactors so hopefully my next attempts will support streaming from the start. | Dataset BnL Historical Newspapers does not work in streaming mode | ## Describe the bug
When trying to load in streaming mode, it "hangs"...
## Steps to reproduce the bug
```python
ds = load_dataset("bnl_newspapers", split="train", streaming=True)
```
## Expected results
The code should be optimized, so that it works fast in streaming mode.
CC: @davanstrien
| 29 | Dataset BnL Historical Newspapers does not work in streaming mode
## Describe the bug
When trying to load in streaming mode, it "hangs"...
## Steps to reproduce the bug
```python
ds = load_dataset("bnl_newspapers", split="train", streaming=True)
```
## Expected results
The code should be optimized, so that... | [
-0.6392006278038025,
0.1436472237110138,
0.017675161361694336,
0.01619909703731537,
0.2014867067337036,
-0.017170123755931854,
0.303964763879776,
0.337910920381546,
0.11051517724990845,
-0.04919452965259552,
0.08703764528036118,
0.14623498916625977,
-0.13405263423919678,
0.1133008748292923... |
https://github.com/huggingface/datasets/issues/3613 | Yes. The jobs queue is full right now, following an upgrade... Back to normality in the next hours hopefully. I'll look at your datasets to be sure the dataset viewer works as expected on them. | Files not updating in dataset viewer | ## Dataset viewer issue for '*name of the dataset*'
**Link:**
Some examples:
* https://huggingface.co/datasets/abidlabs/crowdsourced-speech4
* https://huggingface.co/datasets/abidlabs/test-audio-13
*short description of the issue*
It seems that the dataset viewer is reading a cached version of the dataset and... | 35 | Files not updating in dataset viewer
## Dataset viewer issue for '*name of the dataset*'
**Link:**
Some examples:
* https://huggingface.co/datasets/abidlabs/crowdsourced-speech4
* https://huggingface.co/datasets/abidlabs/test-audio-13
*short description of the issue*
It seems that the dataset viewer is read... | [
-0.37979957461357117,
0.11639723181724548,
-0.10145049542188644,
0.1263847053050995,
0.069827601313591,
0.09496060013771057,
0.057660818099975586,
0.29344332218170166,
0.03491951525211334,
0.1519840955734253,
0.015469308942556381,
0.06990161538124084,
-0.07326533645391464,
-0.0716507956385... |
https://github.com/huggingface/datasets/issues/3608 | Hey @ck37
You can always use a custom metric as explained [in this guide from HF](https://huggingface.co/docs/datasets/master/loading_metrics.html#using-a-custom-metric-script).
If this issue needs to be contributed to (for enhancing the metric API) I think [this link](https://scikit-learn.org/stable/modules/gen... | Add support for continuous metrics (RMSE, MAE) | **Is your feature request related to a problem? Please describe.**
I am uploading our dataset and models for the "Constructing interval measures" method we've developed, which uses item response theory to convert multiple discrete labels into a continuous spectrum for hate speech. Once we have this outcome our NLP m... | 40 | Add support for continuous metrics (RMSE, MAE)
**Is your feature request related to a problem? Please describe.**
I am uploading our dataset and models for the "Constructing interval measures" method we've developed, which uses item response theory to convert multiple discrete labels into a continuous spectrum for... | [
-0.2287483513355255,
-0.38026154041290283,
-0.08813538402318954,
-0.13814827799797058,
0.2096349596977234,
0.16035957634449005,
-0.23040124773979187,
0.07447884231805801,
0.38446545600891113,
0.06891215592622757,
-0.06257716566324234,
0.25890177488327026,
-0.3647345006465912,
0.22413972020... |
https://github.com/huggingface/datasets/issues/3608 | You can use a local metric script just by providing its path instead of the usual shortcut name | Add support for continuous metrics (RMSE, MAE) | **Is your feature request related to a problem? Please describe.**
I am uploading our dataset and models for the "Constructing interval measures" method we've developed, which uses item response theory to convert multiple discrete labels into a continuous spectrum for hate speech. Once we have this outcome our NLP m... | 18 | Add support for continuous metrics (RMSE, MAE)
**Is your feature request related to a problem? Please describe.**
I am uploading our dataset and models for the "Constructing interval measures" method we've developed, which uses item response theory to convert multiple discrete labels into a continuous spectrum for... | [
-0.3416830897331238,
-0.27900412678718567,
-0.10287508368492126,
-0.17806053161621094,
0.14083752036094666,
0.14783155918121338,
-0.15082509815692902,
0.22301696240901947,
0.4105052351951599,
0.115444615483284,
0.0020975545048713684,
0.27696406841278076,
-0.372165322303772,
0.2808316648006... |
https://github.com/huggingface/datasets/issues/3606 | Hi ! We just released a new version of `datasets` that should fix this.
I tested resampling and using save/load_from_disk afterwards and it seems to be fixed now | audio column not saved correctly after resampling | ## Describe the bug
After resampling the audio column, saving with save_to_disk doesn't seem to save with the correct type.
## Steps to reproduce the bug
- load a subset of common voice dataset (48Khz)
- resample audio column to 16Khz
- save with save_to_disk()
- load with load_from_disk()
## Expected resul... | 28 | audio column not saved correctly after resampling
## Describe the bug
After resampling the audio column, saving with save_to_disk doesn't seem to save with the correct type.
## Steps to reproduce the bug
- load a subset of common voice dataset (48Khz)
- resample audio column to 16Khz
- save with save_to_disk(... | [
-0.25284668803215027,
0.11352735757827759,
0.08470138907432556,
0.22557790577411652,
0.4603189527988434,
-0.07320338487625122,
0.18112260103225708,
0.34047871828079224,
-0.10094912350177765,
0.07259493321180344,
-0.483222633600235,
0.369176983833313,
-0.04014541953802109,
-0.09503408521413... |
https://github.com/huggingface/datasets/issues/3606 | Hi @lhoestq,
Just tested the latest datasets version, and confirming that this is fixed for me.
Thanks! | audio column not saved correctly after resampling | ## Describe the bug
After resampling the audio column, saving with save_to_disk doesn't seem to save with the correct type.
## Steps to reproduce the bug
- load a subset of common voice dataset (48Khz)
- resample audio column to 16Khz
- save with save_to_disk()
- load with load_from_disk()
## Expected resul... | 17 | audio column not saved correctly after resampling
## Describe the bug
After resampling the audio column, saving with save_to_disk doesn't seem to save with the correct type.
## Steps to reproduce the bug
- load a subset of common voice dataset (48Khz)
- resample audio column to 16Khz
- save with save_to_disk(... | [
-0.25284668803215027,
0.11352735757827759,
0.08470138907432556,
0.22557790577411652,
0.4603189527988434,
-0.07320338487625122,
0.18112260103225708,
0.34047871828079224,
-0.10094912350177765,
0.07259493321180344,
-0.483222633600235,
0.369176983833313,
-0.04014541953802109,
-0.09503408521413... |
https://github.com/huggingface/datasets/issues/3606 | Also, just an FYI, data that I had saved (with save_to_disk) previously from common voice using datasets==1.17.0 now give the error below when loading (with load_from disk) using datasets==1.18.0.
However, when starting fresh using load_dataset, then doing the resampling, the save/load_from disk worked fine.
``... | audio column not saved correctly after resampling | ## Describe the bug
After resampling the audio column, saving with save_to_disk doesn't seem to save with the correct type.
## Steps to reproduce the bug
- load a subset of common voice dataset (48Khz)
- resample audio column to 16Khz
- save with save_to_disk()
- load with load_from_disk()
## Expected resul... | 290 | audio column not saved correctly after resampling
## Describe the bug
After resampling the audio column, saving with save_to_disk doesn't seem to save with the correct type.
## Steps to reproduce the bug
- load a subset of common voice dataset (48Khz)
- resample audio column to 16Khz
- save with save_to_disk(... | [
-0.25284668803215027,
0.11352735757827759,
0.08470138907432556,
0.22557790577411652,
0.4603189527988434,
-0.07320338487625122,
0.18112260103225708,
0.34047871828079224,
-0.10094912350177765,
0.07259493321180344,
-0.483222633600235,
0.369176983833313,
-0.04014541953802109,
-0.09503408521413... |
https://github.com/huggingface/datasets/issues/3598 | i suspect a markdown parsing error, @severo do you want to take a quick look at it when you have some time? | Readme info not being parsed to show on Dataset card page | ## Describe the bug
The info contained in the README.md file is not being shown in the dataset main page. Basic info and table of contents are properly formatted in the README.
## Steps to reproduce the bug
# Sample code to reproduce the bug
The README file is this one: https://huggingface.co/datasets/softcatal... | 22 | Readme info not being parsed to show on Dataset card page
## Describe the bug
The info contained in the README.md file is not being shown in the dataset main page. Basic info and table of contents are properly formatted in the README.
## Steps to reproduce the bug
# Sample code to reproduce the bug
The README... | [
-0.3140522241592407,
-0.46104419231414795,
-0.04299919307231903,
0.49848029017448425,
0.38273805379867554,
0.3550933301448822,
0.14480070769786835,
0.2580852806568146,
-0.017324581742286682,
0.19815240800380707,
0.2267412543296814,
0.45559003949165344,
0.225060373544693,
0.2512842714786529... |
https://github.com/huggingface/datasets/issues/3598 | # Problem
The issue seems to coming from the front matter of the README
```---
annotations_creators:
- no-annotation
language_creators:
- machine-generated
languages:
- 'ca'
- 'de'
licenses:
- cc-by-4.0
multilinguality:
- translation
pretty_name: Catalan-German aligned corpora to train NMT systems.
size_... | Readme info not being parsed to show on Dataset card page | ## Describe the bug
The info contained in the README.md file is not being shown in the dataset main page. Basic info and table of contents are properly formatted in the README.
## Steps to reproduce the bug
# Sample code to reproduce the bug
The README file is this one: https://huggingface.co/datasets/softcatal... | 121 | Readme info not being parsed to show on Dataset card page
## Describe the bug
The info contained in the README.md file is not being shown in the dataset main page. Basic info and table of contents are properly formatted in the README.
## Steps to reproduce the bug
# Sample code to reproduce the bug
The README... | [
-0.22002173960208893,
-0.49162209033966064,
0.0016024373471736908,
0.6471503376960754,
0.4602578282356262,
0.25932949781417847,
0.06984666734933853,
0.2069072723388672,
-0.08851949870586395,
0.19840744137763977,
0.18089687824249268,
0.481280118227005,
0.30712926387786865,
0.126343607902526... |
https://github.com/huggingface/datasets/issues/3598 | Thank you. It finally worked implementing your changes and leaving a white line between title and text in the description. | Readme info not being parsed to show on Dataset card page | ## Describe the bug
The info contained in the README.md file is not being shown in the dataset main page. Basic info and table of contents are properly formatted in the README.
## Steps to reproduce the bug
# Sample code to reproduce the bug
The README file is this one: https://huggingface.co/datasets/softcatal... | 20 | Readme info not being parsed to show on Dataset card page
## Describe the bug
The info contained in the README.md file is not being shown in the dataset main page. Basic info and table of contents are properly formatted in the README.
## Steps to reproduce the bug
# Sample code to reproduce the bug
The README... | [
-0.11670456826686859,
-0.1736116111278534,
-0.045794904232025146,
0.19737589359283447,
0.4050147831439972,
0.14933785796165466,
0.23833471536636353,
0.05773964151740074,
0.012706160545349121,
0.2358465939760208,
0.14790326356887817,
0.3144129514694214,
0.34281831979751587,
0.33464866876602... |
https://github.com/huggingface/datasets/issues/3597 | Hi! The `cd` command in Jupyer/Colab needs to start with `%`, so this should work:
```
!git clone https://github.com/huggingface/datasets.git
%cd datasets
!pip install -e ".[streaming]"
``` | ERROR: File "setup.py" or "setup.cfg" not found. Directory cannot be installed in editable mode: /content | ## Bug
The install of streaming dataset is giving following error.
## Steps to reproduce the bug
```python
! git clone https://github.com/huggingface/datasets.git
! cd datasets
! pip install -e ".[streaming]"
```
## Actual results
Cloning into 'datasets'...
remote: Enumerating objects: 50816, done.
remot... | 26 | ERROR: File "setup.py" or "setup.cfg" not found. Directory cannot be installed in editable mode: /content
## Bug
The install of streaming dataset is giving following error.
## Steps to reproduce the bug
```python
! git clone https://github.com/huggingface/datasets.git
! cd datasets
! pip install -e ".[streami... | [
-0.2805960178375244,
0.005920499563217163,
0.05326274409890175,
0.08671534061431885,
0.12335948646068573,
0.15111437439918518,
-0.06709346175193787,
0.1101512536406517,
-0.27404654026031494,
0.16928967833518982,
-0.2694026231765747,
0.3483412265777588,
-0.2103760540485382,
0.27040737867355... |
https://github.com/huggingface/datasets/issues/3596 | Hi! Thanks for reporting! The issue with `cast_column` should be fixed by #3575 and after we merge that PR I'll start working on the `push_to_hub` support for the `Image`/`Audio` feature. | Loss of cast `Image` feature on certain dataset method | ## Describe the bug
When an a column is cast to an `Image` feature, the cast type appears to be lost during certain operations. I first noticed this when using the `push_to_hub` method on a dataset that contained urls pointing to images which had been cast to an `image`. This also happens when using select on a data... | 30 | Loss of cast `Image` feature on certain dataset method
## Describe the bug
When an a column is cast to an `Image` feature, the cast type appears to be lost during certain operations. I first noticed this when using the `push_to_hub` method on a dataset that contained urls pointing to images which had been cast to ... | [
-0.21297487616539001,
0.04741716384887695,
0.03897281736135483,
0.005266106687486172,
0.6166046857833862,
0.12560677528381348,
0.5568074584007263,
0.33569851517677307,
-0.06965585052967072,
0.05274338275194168,
-0.058810602873563766,
0.4363158345222473,
0.04701751843094826,
-0.124515846371... |
https://github.com/huggingface/datasets/issues/3596 | > Hi! Thanks for reporting! The issue with `cast_column` should be fixed by #3575 and after we merge that PR I'll start working on the `push_to_hub` support for the `Image`/`Audio` feature.
Thanks, I'll keep an eye out for #3575 getting merged. I managed to use `push_to_hub` sucesfully with images when they were loa... | Loss of cast `Image` feature on certain dataset method | ## Describe the bug
When an a column is cast to an `Image` feature, the cast type appears to be lost during certain operations. I first noticed this when using the `push_to_hub` method on a dataset that contained urls pointing to images which had been cast to an `image`. This also happens when using select on a data... | 92 | Loss of cast `Image` feature on certain dataset method
## Describe the bug
When an a column is cast to an `Image` feature, the cast type appears to be lost during certain operations. I first noticed this when using the `push_to_hub` method on a dataset that contained urls pointing to images which had been cast to ... | [
-0.21297487616539001,
0.04741716384887695,
0.03897281736135483,
0.005266106687486172,
0.6166046857833862,
0.12560677528381348,
0.5568074584007263,
0.33569851517677307,
-0.06965585052967072,
0.05274338275194168,
-0.058810602873563766,
0.4363158345222473,
0.04701751843094826,
-0.124515846371... |
https://github.com/huggingface/datasets/issues/3596 | Hi ! We merged the PR and did a release of `datasets` that includes the changes. Can you try updating `datasets` and try again ? | Loss of cast `Image` feature on certain dataset method | ## Describe the bug
When an a column is cast to an `Image` feature, the cast type appears to be lost during certain operations. I first noticed this when using the `push_to_hub` method on a dataset that contained urls pointing to images which had been cast to an `image`. This also happens when using select on a data... | 25 | Loss of cast `Image` feature on certain dataset method
## Describe the bug
When an a column is cast to an `Image` feature, the cast type appears to be lost during certain operations. I first noticed this when using the `push_to_hub` method on a dataset that contained urls pointing to images which had been cast to ... | [
-0.21297487616539001,
0.04741716384887695,
0.03897281736135483,
0.005266106687486172,
0.6166046857833862,
0.12560677528381348,
0.5568074584007263,
0.33569851517677307,
-0.06965585052967072,
0.05274338275194168,
-0.058810602873563766,
0.4363158345222473,
0.04701751843094826,
-0.124515846371... |
https://github.com/huggingface/datasets/issues/3596 | > Hi ! We merged the PR and did a release of `datasets` that includes the changes. Can you try updating `datasets` and try again ?
Thanks for checking. There is no longer an error when calling `select` but it appears the cast value isn't preserved. Before `select`
```python
dataset.features
{'url': Image(id=Non... | Loss of cast `Image` feature on certain dataset method | ## Describe the bug
When an a column is cast to an `Image` feature, the cast type appears to be lost during certain operations. I first noticed this when using the `push_to_hub` method on a dataset that contained urls pointing to images which had been cast to an `image`. This also happens when using select on a data... | 64 | Loss of cast `Image` feature on certain dataset method
## Describe the bug
When an a column is cast to an `Image` feature, the cast type appears to be lost during certain operations. I first noticed this when using the `push_to_hub` method on a dataset that contained urls pointing to images which had been cast to ... | [
-0.21297487616539001,
0.04741716384887695,
0.03897281736135483,
0.005266106687486172,
0.6166046857833862,
0.12560677528381348,
0.5568074584007263,
0.33569851517677307,
-0.06965585052967072,
0.05274338275194168,
-0.058810602873563766,
0.4363158345222473,
0.04701751843094826,
-0.124515846371... |
https://github.com/huggingface/datasets/issues/3596 | Hmmm, if I re-run your google colab I'm getting the right type at the end:
```
sample.features
# {'url': Image(id=None)}
``` | Loss of cast `Image` feature on certain dataset method | ## Describe the bug
When an a column is cast to an `Image` feature, the cast type appears to be lost during certain operations. I first noticed this when using the `push_to_hub` method on a dataset that contained urls pointing to images which had been cast to an `image`. This also happens when using select on a data... | 21 | Loss of cast `Image` feature on certain dataset method
## Describe the bug
When an a column is cast to an `Image` feature, the cast type appears to be lost during certain operations. I first noticed this when using the `push_to_hub` method on a dataset that contained urls pointing to images which had been cast to ... | [
-0.21297487616539001,
0.04741716384887695,
0.03897281736135483,
0.005266106687486172,
0.6166046857833862,
0.12560677528381348,
0.5568074584007263,
0.33569851517677307,
-0.06965585052967072,
0.05274338275194168,
-0.058810602873563766,
0.4363158345222473,
0.04701751843094826,
-0.124515846371... |
https://github.com/huggingface/datasets/issues/3596 | Appolgies - I've just run again and also got this output. I have also sucesfully used the `push_to_hub` method. I think this is fixed now so will close this issue. | Loss of cast `Image` feature on certain dataset method | ## Describe the bug
When an a column is cast to an `Image` feature, the cast type appears to be lost during certain operations. I first noticed this when using the `push_to_hub` method on a dataset that contained urls pointing to images which had been cast to an `image`. This also happens when using select on a data... | 30 | Loss of cast `Image` feature on certain dataset method
## Describe the bug
When an a column is cast to an `Image` feature, the cast type appears to be lost during certain operations. I first noticed this when using the `push_to_hub` method on a dataset that contained urls pointing to images which had been cast to ... | [
-0.21297487616539001,
0.04741716384887695,
0.03897281736135483,
0.005266106687486172,
0.6166046857833862,
0.12560677528381348,
0.5568074584007263,
0.33569851517677307,
-0.06965585052967072,
0.05274338275194168,
-0.058810602873563766,
0.4363158345222473,
0.04701751843094826,
-0.124515846371... |
https://github.com/huggingface/datasets/issues/3583 | Hello! I have recently been involved with a medical image segmentation project myself and was going through the `The Medical Segmentation Decathlon Dataset` as well.
I haven't yet had experience adding datasets to this repository yet but would love to get started. Should I take this issue?
If yes, I've got two quest... | Add The Medical Segmentation Decathlon Dataset | ## Adding a Dataset
- **Name:** *The Medical Segmentation Decathlon Dataset*
- **Description:** The underlying data set was designed to explore the axis of difficulties typically encountered when dealing with medical images, such as small data sets, unbalanced labels, multi-site data, and small objects.
- **Paper:*... | 107 | Add The Medical Segmentation Decathlon Dataset
## Adding a Dataset
- **Name:** *The Medical Segmentation Decathlon Dataset*
- **Description:** The underlying data set was designed to explore the axis of difficulties typically encountered when dealing with medical images, such as small data sets, unbalanced labels, ... | [
0.09427285194396973,
-0.045284390449523926,
-0.09435715526342392,
-0.012236909940838814,
-0.08023793995380402,
0.14195047318935394,
0.3158586621284485,
0.0644160807132721,
-0.1904928982257843,
0.02517201006412506,
0.09792201220989227,
-0.42809614539146423,
-0.20288440585136414,
0.226546987... |
https://github.com/huggingface/datasets/issues/3583 | Hi! Sure, feel free to take this issue. You can self-assign the issue by commenting `#self-assign`.
To answer your questions:
1. It makes the most sense to add each one as a separate config, so one dataset script with 10 configs in a single PR.
2. Just set masks in the test set to `None`.
Note that the images/m... | Add The Medical Segmentation Decathlon Dataset | ## Adding a Dataset
- **Name:** *The Medical Segmentation Decathlon Dataset*
- **Description:** The underlying data set was designed to explore the axis of difficulties typically encountered when dealing with medical images, such as small data sets, unbalanced labels, multi-site data, and small objects.
- **Paper:*... | 111 | Add The Medical Segmentation Decathlon Dataset
## Adding a Dataset
- **Name:** *The Medical Segmentation Decathlon Dataset*
- **Description:** The underlying data set was designed to explore the axis of difficulties typically encountered when dealing with medical images, such as small data sets, unbalanced labels, ... | [
-0.0416804775595665,
-0.2808956503868103,
-0.0886707603931427,
-0.0931895300745964,
0.00399445928633213,
0.08987776935100555,
0.5937300324440002,
0.34674152731895447,
0.21151581406593323,
0.2499488890171051,
0.009547654539346695,
-0.1307511329650879,
-0.2073957622051239,
0.4167207479476928... |
https://github.com/huggingface/datasets/issues/3583 | > Note that the images/masks in this dataset are in NIfTI format, which our `Image` feature currently doesn't support, so I think it's best to yield the paths to the images/masks in the script and add a preprocessing section to the card where we explain how to load/process the images/masks with `nibabel` (I can help wi... | Add The Medical Segmentation Decathlon Dataset | ## Adding a Dataset
- **Name:** *The Medical Segmentation Decathlon Dataset*
- **Description:** The underlying data set was designed to explore the axis of difficulties typically encountered when dealing with medical images, such as small data sets, unbalanced labels, multi-site data, and small objects.
- **Paper:*... | 74 | Add The Medical Segmentation Decathlon Dataset
## Adding a Dataset
- **Name:** *The Medical Segmentation Decathlon Dataset*
- **Description:** The underlying data set was designed to explore the axis of difficulties typically encountered when dealing with medical images, such as small data sets, unbalanced labels, ... | [
-0.10302046686410904,
-0.3495712876319885,
-0.09235560894012451,
-0.0719333067536354,
0.07020754367113113,
0.025759607553482056,
0.4989384412765503,
0.39894330501556396,
0.17860165238380432,
0.28843939304351807,
0.12174060195684433,
-0.09761356562376022,
-0.07007014751434326,
0.42206126451... |
https://github.com/huggingface/datasets/issues/3583 | This is great! There is a first model on the HUb that uses this dataset! https://huggingface.co/MONAI/example_spleen_segmentation | Add The Medical Segmentation Decathlon Dataset | ## Adding a Dataset
- **Name:** *The Medical Segmentation Decathlon Dataset*
- **Description:** The underlying data set was designed to explore the axis of difficulties typically encountered when dealing with medical images, such as small data sets, unbalanced labels, multi-site data, and small objects.
- **Paper:*... | 16 | Add The Medical Segmentation Decathlon Dataset
## Adding a Dataset
- **Name:** *The Medical Segmentation Decathlon Dataset*
- **Description:** The underlying data set was designed to explore the axis of difficulties typically encountered when dealing with medical images, such as small data sets, unbalanced labels, ... | [
-0.027023740112781525,
-0.3896329998970032,
-0.1645667552947998,
-0.23710688948631287,
0.007202319800853729,
0.06950116902589798,
0.49406981468200684,
0.3347843289375305,
0.03149442374706268,
0.3018220067024231,
-0.04894903674721718,
-0.1498311311006546,
-0.19216914474964142,
0.46577689051... |
https://github.com/huggingface/datasets/issues/3582 | Thanks for reporting !
I pushed a temporary fix on `master` that uses an URL from a previous commit to access the dataset for now, until we have a better solution | conll 2003 dataset source url is no longer valid | ## Describe the bug
Loading `conll2003` dataset fails because it was removed (just yesterday 1/14/2022) from the location it is looking for.
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset("conll2003")
```
## Expected results
The dataset should load.
## Actual r... | 31 | conll 2003 dataset source url is no longer valid
## Describe the bug
Loading `conll2003` dataset fails because it was removed (just yesterday 1/14/2022) from the location it is looking for.
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset("conll2003")
```
## Expect... | [
0.025350868701934814,
0.09673906862735748,
0.06592319160699844,
0.28017014265060425,
-0.08389797806739807,
-0.09837689250707626,
0.39446842670440674,
0.11432209610939026,
-0.36610522866249084,
0.010017439723014832,
-0.15983280539512634,
0.15308108925819397,
-0.11522330343723297,
-0.1167480... |
https://github.com/huggingface/datasets/issues/3582 | I changed the URL again to use another host, the fix is available on `master` and we'll probably do a new release of `datasets` tomorrow.
In the meantime, feel free to do `load_dataset(..., revision="master")` to use the fixed script | conll 2003 dataset source url is no longer valid | ## Describe the bug
Loading `conll2003` dataset fails because it was removed (just yesterday 1/14/2022) from the location it is looking for.
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset("conll2003")
```
## Expected results
The dataset should load.
## Actual r... | 39 | conll 2003 dataset source url is no longer valid
## Describe the bug
Loading `conll2003` dataset fails because it was removed (just yesterday 1/14/2022) from the location it is looking for.
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset("conll2003")
```
## Expect... | [
0.025350868701934814,
0.09673906862735748,
0.06592319160699844,
0.28017014265060425,
-0.08389797806739807,
-0.09837689250707626,
0.39446842670440674,
0.11432209610939026,
-0.36610522866249084,
0.010017439723014832,
-0.15983280539512634,
0.15308108925819397,
-0.11522330343723297,
-0.1167480... |
https://github.com/huggingface/datasets/issues/3582 | We just released a new version of `datasets` with a working URL. Feel free to update `datasets` and try again :) | conll 2003 dataset source url is no longer valid | ## Describe the bug
Loading `conll2003` dataset fails because it was removed (just yesterday 1/14/2022) from the location it is looking for.
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset("conll2003")
```
## Expected results
The dataset should load.
## Actual r... | 21 | conll 2003 dataset source url is no longer valid
## Describe the bug
Loading `conll2003` dataset fails because it was removed (just yesterday 1/14/2022) from the location it is looking for.
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset("conll2003")
```
## Expect... | [
0.025350868701934814,
0.09673906862735748,
0.06592319160699844,
0.28017014265060425,
-0.08389797806739807,
-0.09837689250707626,
0.39446842670440674,
0.11432209610939026,
-0.36610522866249084,
0.010017439723014832,
-0.15983280539512634,
0.15308108925819397,
-0.11522330343723297,
-0.1167480... |
https://github.com/huggingface/datasets/issues/3582 | Hello! Unfortunately, this URL does not work for me.
Could you please tell me how I can solve the problem?
`>>> from datasets import load_dataset
>>> dataset = load_dataset("conll2003")
Downloading and preparing dataset conll2003/conll2003 (download: 4.63 MiB, generated: 9.78 MiB, post-processed: Unknown size, t... | conll 2003 dataset source url is no longer valid | ## Describe the bug
Loading `conll2003` dataset fails because it was removed (just yesterday 1/14/2022) from the location it is looking for.
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset("conll2003")
```
## Expected results
The dataset should load.
## Actual r... | 199 | conll 2003 dataset source url is no longer valid
## Describe the bug
Loading `conll2003` dataset fails because it was removed (just yesterday 1/14/2022) from the location it is looking for.
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset("conll2003")
```
## Expect... | [
0.025350868701934814,
0.09673906862735748,
0.06592319160699844,
0.28017014265060425,
-0.08389797806739807,
-0.09837689250707626,
0.39446842670440674,
0.11432209610939026,
-0.36610522866249084,
0.010017439723014832,
-0.15983280539512634,
0.15308108925819397,
-0.11522330343723297,
-0.1167480... |
https://github.com/huggingface/datasets/issues/3582 | @lhoestq Thank you very much for your answer!
It works this way, but for my research I need datasets==1.6.3 or closest to it because otherwise the other package would not work as it is built on this version.
Do you have any other suggestion? I would really appreciate it. Maybe which version of the datasets is with... | conll 2003 dataset source url is no longer valid | ## Describe the bug
Loading `conll2003` dataset fails because it was removed (just yesterday 1/14/2022) from the location it is looking for.
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset("conll2003")
```
## Expected results
The dataset should load.
## Actual r... | 63 | conll 2003 dataset source url is no longer valid
## Describe the bug
Loading `conll2003` dataset fails because it was removed (just yesterday 1/14/2022) from the location it is looking for.
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset("conll2003")
```
## Expect... | [
0.025350868701934814,
0.09673906862735748,
0.06592319160699844,
0.28017014265060425,
-0.08389797806739807,
-0.09837689250707626,
0.39446842670440674,
0.11432209610939026,
-0.36610522866249084,
0.010017439723014832,
-0.15983280539512634,
0.15308108925819397,
-0.11522330343723297,
-0.1167480... |
https://github.com/huggingface/datasets/issues/3580 | +1, here's the error I got:
```
>>> from datasets import load_dataset
>>>
>>> load_dataset("wiki_bio")
Downloading: 7.58kB [00:00, 4.42MB/s]
Downloading: 2.71kB [00:00, 1.30MB/s]
Using custom data configuration default
Downloading and preparing dataset wiki_bio/default (download: 318.53 MiB, generated: 736.9... | Bug in wiki bio load |
wiki_bio is failing to load because of a failing drive link . Can someone fix this ?
 from here: https://github.com/DavidGrangier/wikipedia-biography-dataset | Bug in wiki bio load |
wiki_bio is failing to load because of a failing drive link . Can someone fix this ?
 | Bug in wiki bio load |
wiki_bio is failing to load because of a failing drive link . Can someone fix this ?
dataset.save_to_disk("normal_save")
# save ... | 54 | label information get lost after parquet serialization
## Describe the bug
In *dataset_info.json* file, information about the label get lost after the dataset serialization.
## Steps to reproduce the bug
```python
from datasets import load_dataset
# normal save
dataset = load_dataset('glue', 'sst2', split='... | [
0.1003645807504654,
0.2914578318595886,
0.0859542116522789,
0.27121201157569885,
0.22896230220794678,
0.04522363841533661,
0.1918182075023651,
0.053616467863321304,
-0.1856914758682251,
0.20955806970596313,
0.21824026107788086,
0.7100893259048462,
0.14803320169448853,
0.33687856793403625,
... |
https://github.com/huggingface/datasets/issues/3572 | @sahoodib, thanks for reporting.
Indeed, none of the data links appearing in the IndicGLUE website are working, e.g.: https://storage.googleapis.com/ai4bharat-public-indic-nlp-corpora/evaluations/soham-articles.tar.gz
```
<Error>
<Code>UserProjectAccountProblem</Code>
<Message>User project billing account not in... | ConnectionError in IndicGLUE dataset | While I am trying to load IndicGLUE dataset (https://huggingface.co/datasets/indic_glue) it is giving me with the error:
```
ConnectionError: Couldn't reach https://storage.googleapis.com/ai4bharat-public-indic-nlp-corpora/evaluations/wikiann-ner.tar.gz (error 403) | 67 | ConnectionError in IndicGLUE dataset
While I am trying to load IndicGLUE dataset (https://huggingface.co/datasets/indic_glue) it is giving me with the error:
```
ConnectionError: Couldn't reach https://storage.googleapis.com/ai4bharat-public-indic-nlp-corpora/evaluations/wikiann-ner.tar.gz (error 403)
@sahoodib, ... | [
-0.40432360768318176,
0.38783836364746094,
-0.0267185028642416,
0.6261590123176575,
0.02226082608103752,
0.0886499285697937,
0.1807955801486969,
0.041581667959690094,
0.02537037432193756,
0.041216764599084854,
-0.06060364469885826,
-0.209945410490036,
0.3280406892299652,
0.0549295991659164... |
https://github.com/huggingface/datasets/issues/3572 | Yesterday I resent a reminder email with more AI4Bharat-related people in the loop.
I also opened an issue in their repos:
- https://github.com/AI4Bharat/indicnlp_corpus/issues/14
- https://github.com/AI4Bharat/ai4bharat.org/issues/71 | ConnectionError in IndicGLUE dataset | While I am trying to load IndicGLUE dataset (https://huggingface.co/datasets/indic_glue) it is giving me with the error:
```
ConnectionError: Couldn't reach https://storage.googleapis.com/ai4bharat-public-indic-nlp-corpora/evaluations/wikiann-ner.tar.gz (error 403) | 25 | ConnectionError in IndicGLUE dataset
While I am trying to load IndicGLUE dataset (https://huggingface.co/datasets/indic_glue) it is giving me with the error:
```
ConnectionError: Couldn't reach https://storage.googleapis.com/ai4bharat-public-indic-nlp-corpora/evaluations/wikiann-ner.tar.gz (error 403)
Yesterday I... | [
-0.35771024227142334,
0.38021770119667053,
-0.06358431279659271,
0.5133818984031677,
-0.1065974161028862,
-0.07360844314098358,
0.3364698886871338,
0.1029723510146141,
-0.1654069572687149,
0.09455402195453644,
-0.15875443816184998,
-0.24723702669143677,
0.28000956773757935,
-0.122643098235... |
https://github.com/huggingface/datasets/issues/3572 | We have received a reply from the authors reporting they have updated the URLs of their data files and opened a PR. See:
- #4978 | ConnectionError in IndicGLUE dataset | While I am trying to load IndicGLUE dataset (https://huggingface.co/datasets/indic_glue) it is giving me with the error:
```
ConnectionError: Couldn't reach https://storage.googleapis.com/ai4bharat-public-indic-nlp-corpora/evaluations/wikiann-ner.tar.gz (error 403) | 25 | ConnectionError in IndicGLUE dataset
While I am trying to load IndicGLUE dataset (https://huggingface.co/datasets/indic_glue) it is giving me with the error:
```
ConnectionError: Couldn't reach https://storage.googleapis.com/ai4bharat-public-indic-nlp-corpora/evaluations/wikiann-ner.tar.gz (error 403)
We have rec... | [
-0.3823036253452301,
0.2555050849914551,
-0.0436352863907814,
0.5082762241363525,
-0.1102486252784729,
-0.04896838963031769,
0.1193949431180954,
0.11724840849637985,
-0.027210377156734467,
0.04055623710155487,
-0.024387935176491737,
-0.13742674887180328,
0.32649093866348267,
-0.02270498871... |
https://github.com/huggingface/datasets/issues/3568 | Hi @fabianslife, thanks for reporting.
I think you were using an old version of `datasets` because this bug was already fixed in version `1.13.0` (13 Oct 2021):
- Fix: 55fd140a63b8f03a0e72985647e498f1fc799d3f
- PR: #3046
- Issue: #2969
Please, feel free to update the library: `pip install -U datasets`. | Downloading Hugging Face Medical Dialog Dataset NonMatchingSplitsSizesError | I wanted to download the Nedical Dialog Dataset from huggingface, using this github link:
https://github.com/huggingface/datasets/tree/master/datasets/medical_dialog
After downloading the raw datasets from google drive, i unpacked everything and put it in the same folder as the medical_dialog.py which is:
```
... | 47 | Downloading Hugging Face Medical Dialog Dataset NonMatchingSplitsSizesError
I wanted to download the Nedical Dialog Dataset from huggingface, using this github link:
https://github.com/huggingface/datasets/tree/master/datasets/medical_dialog
After downloading the raw datasets from google drive, i unpacked every... | [
-0.08223475515842438,
-0.10125439614057541,
0.05063706636428833,
0.20178380608558655,
0.2633810043334961,
0.1685771942138672,
0.06952302157878876,
0.37026455998420715,
0.03564363718032837,
0.10938990116119385,
-0.3243406414985657,
-0.16785715520381927,
-0.25402626395225525,
0.2069633901119... |
https://github.com/huggingface/datasets/issues/3563 | Hi! That makes sense. Sure, feel free to open a PR! Just a small suggestion: let's make `preserve_index` a parameter of `Dataset.from_pandas` (which we then pass to `InMemoryTable.from_pandas`) with `None` as a default value to not have this as a breaking change. | Dataset.from_pandas preserves useless index | ## Describe the bug
Let's say that you want to create a Dataset object from pandas dataframe. Most likely you will write something like this:
```
import pandas as pd
from datasets import Dataset
df = pd.read_csv('some_dataset.csv')
# Some DataFrame preprocessing code...
dataset = Dataset.from_pandas(df)
`... | 42 | Dataset.from_pandas preserves useless index
## Describe the bug
Let's say that you want to create a Dataset object from pandas dataframe. Most likely you will write something like this:
```
import pandas as pd
from datasets import Dataset
df = pd.read_csv('some_dataset.csv')
# Some DataFrame preprocessing... | [
-0.2243756353855133,
0.3234052062034607,
0.05870558321475983,
0.1705540120601654,
0.28248101472854614,
0.09029980003833771,
0.4146195948123932,
0.3388768136501312,
-0.3311906158924103,
0.20176385343074799,
-0.08705105632543564,
0.7348050475120544,
0.04669303819537163,
-0.018778357654809952... |
https://github.com/huggingface/datasets/issues/3561 | The host of this copy of the dataset (https://the-eye.eu) is down and has been down for a good amount of time ([potentially months](https://www.reddit.com/r/Roms/comments/q82s15/theeye_downdied/))
Finding this dataset is a little esoteric, as the original authors took down the official BookCorpus dataset some time a... | Cannot load ‘bookcorpusopen’ | ## Describe the bug
Cannot load 'bookcorpusopen'
## Steps to reproduce the bug
```python
dataset = load_dataset('bookcorpusopen')
```
or
```python
dataset = load_dataset('bookcorpusopen',script_version='master')
```
## Actual results
ConnectionError: Couldn't reach https://the-eye.eu/public/AI/pile_pre... | 109 | Cannot load ‘bookcorpusopen’
## Describe the bug
Cannot load 'bookcorpusopen'
## Steps to reproduce the bug
```python
dataset = load_dataset('bookcorpusopen')
```
or
```python
dataset = load_dataset('bookcorpusopen',script_version='master')
```
## Actual results
ConnectionError: Couldn't reach https:... | [
-0.2679778039455414,
0.2642434239387512,
-0.0406799390912056,
0.3686516582965851,
-0.12361034750938416,
0.008802160620689392,
0.3477189838886261,
0.23135486245155334,
-0.06283144652843475,
-0.07161933183670044,
-0.361925333738327,
0.11834615468978882,
0.317331999540329,
0.1622450053691864,... |
https://github.com/huggingface/datasets/issues/3561 | Hi! The `bookcorpusopen` dataset is not working for the same reason as explained in this comment: https://github.com/huggingface/datasets/issues/3504#issuecomment-1004564980 | Cannot load ‘bookcorpusopen’ | ## Describe the bug
Cannot load 'bookcorpusopen'
## Steps to reproduce the bug
```python
dataset = load_dataset('bookcorpusopen')
```
or
```python
dataset = load_dataset('bookcorpusopen',script_version='master')
```
## Actual results
ConnectionError: Couldn't reach https://the-eye.eu/public/AI/pile_pre... | 17 | Cannot load ‘bookcorpusopen’
## Describe the bug
Cannot load 'bookcorpusopen'
## Steps to reproduce the bug
```python
dataset = load_dataset('bookcorpusopen')
```
or
```python
dataset = load_dataset('bookcorpusopen',script_version='master')
```
## Actual results
ConnectionError: Couldn't reach https:... | [
-0.3040997087955475,
-0.031326889991760254,
-0.0976269394159317,
0.3863775134086609,
0.1762523055076599,
-0.07487300038337708,
0.3626808822154999,
0.12973737716674805,
0.06866581737995148,
-0.011390790343284607,
-0.3443719148635864,
0.2929636836051941,
0.45127254724502563,
0.47275522351264... |
https://github.com/huggingface/datasets/issues/3561 | Hi @HUIYINXUE, it should work now that the data owners created a mirror server with all data, and we updated the URL in our library. | Cannot load ‘bookcorpusopen’ | ## Describe the bug
Cannot load 'bookcorpusopen'
## Steps to reproduce the bug
```python
dataset = load_dataset('bookcorpusopen')
```
or
```python
dataset = load_dataset('bookcorpusopen',script_version='master')
```
## Actual results
ConnectionError: Couldn't reach https://the-eye.eu/public/AI/pile_pre... | 25 | Cannot load ‘bookcorpusopen’
## Describe the bug
Cannot load 'bookcorpusopen'
## Steps to reproduce the bug
```python
dataset = load_dataset('bookcorpusopen')
```
or
```python
dataset = load_dataset('bookcorpusopen',script_version='master')
```
## Actual results
ConnectionError: Couldn't reach https:... | [
-0.21133823692798615,
0.15783146023750305,
-0.07106094807386398,
0.32462406158447266,
-0.06236792728304863,
-0.14003759622573853,
0.3946613669395447,
0.19909527897834778,
0.00045587122440338135,
-0.056987226009368896,
-0.34380534291267395,
0.3186571002006531,
0.44060418009757996,
0.2468891... |
https://github.com/huggingface/datasets/issues/3558 | Hi @mariosasko，Just search randomly and I found this issue~ I'm the tech lead of Milvus and we are looking forward to integrate milvus together with huggingface datasets.
Any suggestion on how we could start?
| Integrate Milvus (pymilvus) library | Milvus is a popular open-source vector database. We should add a new vector index to support this project. | 34 | Integrate Milvus (pymilvus) library
Milvus is a popular open-source vector database. We should add a new vector index to support this project.
Hi @mariosasko，Just search randomly and I found this issue~ I'm the tech lead of Milvus and we are looking forward to integrate milvus together with huggingface datasets.
... | [
0.0640774816274643,
-0.6056885123252869,
-0.11712740361690521,
0.30451667308807373,
0.27040401101112366,
0.054664164781570435,
-0.045969024300575256,
0.16240724921226501,
0.08975417912006378,
0.32889696955680847,
-0.03349345177412033,
-0.20647785067558289,
-0.21399635076522827,
0.056155808... |
https://github.com/huggingface/datasets/issues/3558 | Hi! For starters, I suggest you take a look at this file: https://github.com/huggingface/datasets/blob/master/src/datasets/search.py, which contains all the code for Faiss/ElasticSearch support. We could set up a Slack channel for additional guidance. Let me know what you prefer. | Integrate Milvus (pymilvus) library | Milvus is a popular open-source vector database. We should add a new vector index to support this project. | 37 | Integrate Milvus (pymilvus) library
Milvus is a popular open-source vector database. We should add a new vector index to support this project.
Hi! For starters, I suggest you take a look at this file: https://github.com/huggingface/datasets/blob/master/src/datasets/search.py, which contains all the code for Faiss/E... | [
-0.1996869146823883,
-0.2113722860813141,
-0.2736818492412567,
-0.1039368286728859,
-0.029822152107954025,
-0.07170283794403076,
-0.01782546192407608,
0.25997188687324524,
0.2742891311645508,
0.09052294492721558,
-0.09796348214149475,
-0.10962577164173126,
-0.23410223424434662,
-0.04114861... |
https://github.com/huggingface/datasets/issues/3558 | > Hi! For starters, I suggest you take a look at this file: https://github.com/huggingface/datasets/blob/master/src/datasets/search.py, which contains all the code for Faiss/ElasticSearch support. We could set up a Slack channel for additional guidance. Let me know what you prefer.
Sure, we take a look and do some r... | Integrate Milvus (pymilvus) library | Milvus is a popular open-source vector database. We should add a new vector index to support this project. | 47 | Integrate Milvus (pymilvus) library
Milvus is a popular open-source vector database. We should add a new vector index to support this project.
> Hi! For starters, I suggest you take a look at this file: https://github.com/huggingface/datasets/blob/master/src/datasets/search.py, which contains all the code for Faiss... | [
-0.1838492453098297,
-0.2007056176662445,
-0.2723217010498047,
-0.1145944744348526,
-0.04853168874979019,
-0.09915155172348022,
-0.0014097169041633606,
0.25204768776893616,
0.25061216950416565,
0.0776882916688919,
-0.08293487131595612,
-0.11872217059135437,
-0.24957942962646484,
-0.0352783... |
https://github.com/huggingface/datasets/issues/3555 | Hi, we've just merged the PR with the fix. The fixed version of the dataset can be downloaded as follows:
```python
import datasets
dset = datasets.load_dataset("tweet_qa", revision="master")
``` | DuplicatedKeysError when loading tweet_qa dataset | When loading the tweet_qa dataset with `load_dataset('tweet_qa')`, the following error occurs:
`DuplicatedKeysError: FAILURE TO GENERATE DATASET !
Found duplicate Key: 2a167f9e016ba338e1813fed275a6a1e
Keys should be unique and deterministic in nature
`
Might be related to issues #2433 and #2333
- `datasets` ... | 28 | DuplicatedKeysError when loading tweet_qa dataset
When loading the tweet_qa dataset with `load_dataset('tweet_qa')`, the following error occurs:
`DuplicatedKeysError: FAILURE TO GENERATE DATASET !
Found duplicate Key: 2a167f9e016ba338e1813fed275a6a1e
Keys should be unique and deterministic in nature
`
Might b... | [
0.020983047783374786,
-0.2672315537929535,
-0.004779800772666931,
0.20693662762641907,
0.3006341755390167,
0.06389863789081573,
0.14324229955673218,
0.30135083198547363,
-0.19674603641033173,
0.09052057564258575,
0.0005055032670497894,
0.3443007469177246,
-0.1993969976902008,
0.25854074954... |
https://github.com/huggingface/datasets/issues/3554 | Hi! I can't reproduce this error in Colab, but I'm assuming you are using Amazon SageMaker Studio Notebooks (you mention the `conda_pytorch_p36` kernel), so maybe @philschmid knows more about what might be causing this issue? | ImportError: cannot import name 'is_valid_waiter_error' | Based on [SO post](https://stackoverflow.com/q/70606147/17840900).
I'm following along to this [Notebook][1], cell "**Loading the dataset**".
Kernel: `conda_pytorch_p36`.
I run:
```
! pip install datasets transformers optimum[intel]
```
Output:
```
Requirement already satisfied: datasets in /home/ec2-u... | 35 | ImportError: cannot import name 'is_valid_waiter_error'
Based on [SO post](https://stackoverflow.com/q/70606147/17840900).
I'm following along to this [Notebook][1], cell "**Loading the dataset**".
Kernel: `conda_pytorch_p36`.
I run:
```
! pip install datasets transformers optimum[intel]
```
Output:
`... | [
-0.14788265526294708,
-0.14692768454551697,
-0.22139348089694977,
0.17883382737636566,
0.15695370733737946,
-0.19814321398735046,
0.37350890040397644,
0.17720115184783936,
-0.0016112402081489563,
0.00877738744020462,
-0.10016077011823654,
0.38918349146842957,
0.024509761482477188,
0.115436... |
https://github.com/huggingface/datasets/issues/3554 | Hey @mariosasko. Yes, I am using **Amazon SageMaker Studio Jupyter Labs**. However, I no longer need this notebook; but it would be nice to have this problem solved for others. So don't stress too much if you two can't reproduce error. | ImportError: cannot import name 'is_valid_waiter_error' | Based on [SO post](https://stackoverflow.com/q/70606147/17840900).
I'm following along to this [Notebook][1], cell "**Loading the dataset**".
Kernel: `conda_pytorch_p36`.
I run:
```
! pip install datasets transformers optimum[intel]
```
Output:
```
Requirement already satisfied: datasets in /home/ec2-u... | 41 | ImportError: cannot import name 'is_valid_waiter_error'
Based on [SO post](https://stackoverflow.com/q/70606147/17840900).
I'm following along to this [Notebook][1], cell "**Loading the dataset**".
Kernel: `conda_pytorch_p36`.
I run:
```
! pip install datasets transformers optimum[intel]
```
Output:
`... | [
-0.14788265526294708,
-0.14692768454551697,
-0.22139348089694977,
0.17883382737636566,
0.15695370733737946,
-0.19814321398735046,
0.37350890040397644,
0.17720115184783936,
-0.0016112402081489563,
0.00877738744020462,
-0.10016077011823654,
0.38918349146842957,
0.024509761482477188,
0.115436... |
https://github.com/huggingface/datasets/issues/3554 | Hey @danielbellhv,
This issue might be related to Studio probably not having an up to date `botocore` and `boto3` version. I ran into this as well a while back. My workaround was
```python
# using older dataset due to incompatibility of sagemaker notebook & aws-cli with > s3fs and fsspec to >= 2021.10
!pip inst... | ImportError: cannot import name 'is_valid_waiter_error' | Based on [SO post](https://stackoverflow.com/q/70606147/17840900).
I'm following along to this [Notebook][1], cell "**Loading the dataset**".
Kernel: `conda_pytorch_p36`.
I run:
```
! pip install datasets transformers optimum[intel]
```
Output:
```
Requirement already satisfied: datasets in /home/ec2-u... | 90 | ImportError: cannot import name 'is_valid_waiter_error'
Based on [SO post](https://stackoverflow.com/q/70606147/17840900).
I'm following along to this [Notebook][1], cell "**Loading the dataset**".
Kernel: `conda_pytorch_p36`.
I run:
```
! pip install datasets transformers optimum[intel]
```
Output:
`... | [
-0.14788265526294708,
-0.14692768454551697,
-0.22139348089694977,
0.17883382737636566,
0.15695370733737946,
-0.19814321398735046,
0.37350890040397644,
0.17720115184783936,
-0.0016112402081489563,
0.00877738744020462,
-0.10016077011823654,
0.38918349146842957,
0.024509761482477188,
0.115436... |
https://github.com/huggingface/datasets/issues/3553 | This error also propagates to jax and is even trickier to fix, since `.with_format(type='jax')` will use numpy conversion internally (and fail). For a three line failure:
```python
dataset = datasets.load_dataset("mnist")
dataset.set_format("jax")
X_train = dataset["train"]["image"]
``` | set_format("np") no longer works for Image data | ## Describe the bug
`dataset.set_format("np")` no longer works for image data, previously you could load the MNIST like this:
```python
dataset = load_dataset("mnist")
dataset.set_format("np")
X_train = dataset["train"]["image"][..., None] # <== No longer a numpy array
```
but now it doesn't work, `set_format(... | 35 | set_format("np") no longer works for Image data
## Describe the bug
`dataset.set_format("np")` no longer works for image data, previously you could load the MNIST like this:
```python
dataset = load_dataset("mnist")
dataset.set_format("np")
X_train = dataset["train"]["image"][..., None] # <== No longer a numpy... | [
-0.035104334354400635,
0.11162325739860535,
-0.01638615131378174,
-0.1090967059135437,
0.5629804730415344,
-0.06856969743967056,
0.6217343211174011,
0.4775543510913849,
-0.17445608973503113,
0.17818701267242432,
0.06581294536590576,
0.5270742774009705,
-0.08805319666862488,
0.1173614934086... |
https://github.com/huggingface/datasets/issues/3553 | Hi! We've recently introduced a new Image feature that yields PIL Images (and caches transforms on them) instead of arrays.
However, this feature requires a custom transform to yield np arrays directly:
```python
ddict = datasets.load_dataset("mnist")
def pil_image_to_array(batch):
return {"image": [np.ar... | set_format("np") no longer works for Image data | ## Describe the bug
`dataset.set_format("np")` no longer works for image data, previously you could load the MNIST like this:
```python
dataset = load_dataset("mnist")
dataset.set_format("np")
X_train = dataset["train"]["image"][..., None] # <== No longer a numpy array
```
but now it doesn't work, `set_format(... | 127 | set_format("np") no longer works for Image data
## Describe the bug
`dataset.set_format("np")` no longer works for image data, previously you could load the MNIST like this:
```python
dataset = load_dataset("mnist")
dataset.set_format("np")
X_train = dataset["train"]["image"][..., None] # <== No longer a numpy... | [
-0.15154948830604553,
0.02283516526222229,
0.008419983088970184,
-0.09256992489099503,
0.4749736785888672,
-0.1852436065673828,
0.6634012460708618,
0.2563916742801666,
-0.2602323293685913,
0.12488001585006714,
-0.1729414165019989,
0.5843823552131653,
-0.17882655560970306,
0.171517044305801... |
https://github.com/huggingface/datasets/issues/3553 | Yes I agree it should return arrays and not a PIL image (and possible an array instead of a dict for audio data).
I'm currently finishing some code refactoring of the image and audio and opening a PR today. Maybe we can look into that after the refactoring | set_format("np") no longer works for Image data | ## Describe the bug
`dataset.set_format("np")` no longer works for image data, previously you could load the MNIST like this:
```python
dataset = load_dataset("mnist")
dataset.set_format("np")
X_train = dataset["train"]["image"][..., None] # <== No longer a numpy array
```
but now it doesn't work, `set_format(... | 48 | set_format("np") no longer works for Image data
## Describe the bug
`dataset.set_format("np")` no longer works for image data, previously you could load the MNIST like this:
```python
dataset = load_dataset("mnist")
dataset.set_format("np")
X_train = dataset["train"]["image"][..., None] # <== No longer a numpy... | [
-0.32607501745224,
0.07806915044784546,
-0.03519725054502487,
-0.014314588159322739,
0.38455435633659363,
-0.3260153532028198,
0.5448748469352722,
0.25854283571243286,
-0.16704519093036652,
0.12738348543643951,
-0.1693267822265625,
0.7061200141906738,
-0.26262208819389343,
0.07516293972730... |
https://github.com/huggingface/datasets/issues/3548 | After looking into this, discovered that this is already supported if the `dataset_infos.json` file is configured correctly! Here is a working example: https://huggingface.co/datasets/abidlabs/test-audio-13
This should be probably be documented, though. | Specify the feature types of a dataset on the Hub without needing a dataset script | **Is your feature request related to a problem? Please describe.**
Currently if I upload a CSV with paths to audio files, the column type is string instead of Audio.
**Describe the solution you'd like**
I'd like to be able to specify the types of the column, so that when loading the dataset I directly get the feat... | 30 | Specify the feature types of a dataset on the Hub without needing a dataset script
**Is your feature request related to a problem? Please describe.**
Currently if I upload a CSV with paths to audio files, the column type is string instead of Audio.
**Describe the solution you'd like**
I'd like to be able to spec... | [
-0.19814532995224,
-0.3338790535926819,
-0.05936959758400917,
-0.0158836729824543,
0.29148438572883606,
0.05367411673069,
0.5299442410469055,
0.2025269865989685,
0.29643458127975464,
0.2206585705280304,
-0.04987912252545357,
0.46671566367149353,
-0.06496649980545044,
0.6093792915344238,
... |
https://github.com/huggingface/datasets/issues/3547 | Thanks for reporting. I think this can be fixed by improving the `CachedDatasetModuleFactory` and making it look into the `parquet` cache directory (datasets from push_to_hub are loaded with the parquet dataset builder). I'll look into it | Datasets created with `push_to_hub` can't be accessed in offline mode | ## Describe the bug
In offline mode, one can still access previously-cached datasets. This fails with datasets created with `push_to_hub`.
## Steps to reproduce the bug
in Python:
```
import datasets
mpwiki = datasets.load_dataset("teven/matched_passages_wikidata")
```
in bash:
```
export HF_DATASETS_OFFLIN... | 36 | Datasets created with `push_to_hub` can't be accessed in offline mode
## Describe the bug
In offline mode, one can still access previously-cached datasets. This fails with datasets created with `push_to_hub`.
## Steps to reproduce the bug
in Python:
```
import datasets
mpwiki = datasets.load_dataset("teven/ma... | [
-0.31951695680618286,
-0.3339676558971405,
0.033271849155426025,
0.23948192596435547,
0.14462316036224365,
0.09753571450710297,
0.4311663806438446,
0.1092434898018837,
0.1457221657037735,
0.0020821616053581238,
-0.16410820186138153,
0.09397861361503601,
0.1401517391204834,
0.20550762116909... |
https://github.com/huggingface/datasets/issues/3547 | We haven't had a chance to fix this yet. If someone would like to give it a try I'd be happy to give some guidance | Datasets created with `push_to_hub` can't be accessed in offline mode | ## Describe the bug
In offline mode, one can still access previously-cached datasets. This fails with datasets created with `push_to_hub`.
## Steps to reproduce the bug
in Python:
```
import datasets
mpwiki = datasets.load_dataset("teven/matched_passages_wikidata")
```
in bash:
```
export HF_DATASETS_OFFLIN... | 25 | Datasets created with `push_to_hub` can't be accessed in offline mode
## Describe the bug
In offline mode, one can still access previously-cached datasets. This fails with datasets created with `push_to_hub`.
## Steps to reproduce the bug
in Python:
```
import datasets
mpwiki = datasets.load_dataset("teven/ma... | [
-0.2712700366973877,
-0.4028080701828003,
-0.010768983513116837,
0.2169342339038849,
0.12817822396755219,
0.12113681435585022,
0.47877591848373413,
0.17406824231147766,
0.14842376112937927,
0.0674809068441391,
-0.22360745072364807,
-0.04085317999124527,
0.12881478667259216,
0.1556220352649... |
https://github.com/huggingface/datasets/issues/3547 | @lhoestq Do you have an idea of what changes need to be made to `CachedDatasetModuleFactory`? I would be willing to take a crack at it. Currently unable to train with datasets I have `push_to_hub` on a cluster whose compute nodes are not connected to the internet.
It looks like it might be this line:
https://gith... | Datasets created with `push_to_hub` can't be accessed in offline mode | ## Describe the bug
In offline mode, one can still access previously-cached datasets. This fails with datasets created with `push_to_hub`.
## Steps to reproduce the bug
in Python:
```
import datasets
mpwiki = datasets.load_dataset("teven/matched_passages_wikidata")
```
in bash:
```
export HF_DATASETS_OFFLIN... | 92 | Datasets created with `push_to_hub` can't be accessed in offline mode
## Describe the bug
In offline mode, one can still access previously-cached datasets. This fails with datasets created with `push_to_hub`.
## Steps to reproduce the bug
in Python:
```
import datasets
mpwiki = datasets.load_dataset("teven/ma... | [
-0.19155991077423096,
-0.262698233127594,
0.02448786050081253,
0.1765240728855133,
0.27770131826400757,
0.0777067095041275,
0.38575711846351624,
0.09199844300746918,
0.16568036377429962,
0.015625447034835815,
-0.08702301979064941,
0.1225704699754715,
-0.02004685252904892,
0.058035105466842... |
https://github.com/huggingface/datasets/issues/3547 | `importable_directory_path` is used to find a **dataset script** that was previously downloaded and cached from the Hub
However in your case there's no dataset script on the Hub, only parquet files. So the logic must be extended for this case.
In particular I think you can add a new logic in the case where `hashe... | Datasets created with `push_to_hub` can't be accessed in offline mode | ## Describe the bug
In offline mode, one can still access previously-cached datasets. This fails with datasets created with `push_to_hub`.
## Steps to reproduce the bug
in Python:
```
import datasets
mpwiki = datasets.load_dataset("teven/matched_passages_wikidata")
```
in bash:
```
export HF_DATASETS_OFFLIN... | 251 | Datasets created with `push_to_hub` can't be accessed in offline mode
## Describe the bug
In offline mode, one can still access previously-cached datasets. This fails with datasets created with `push_to_hub`.
## Steps to reproduce the bug
in Python:
```
import datasets
mpwiki = datasets.load_dataset("teven/ma... | [
-0.3551827669143677,
-0.2094767689704895,
0.025371938943862915,
0.2815462648868561,
0.12832652032375336,
0.054722465574741364,
0.23267406225204468,
0.19037842750549316,
0.18259038031101227,
0.06978064775466919,
-0.1226423978805542,
0.2477349042892456,
0.07432155311107635,
0.167365044355392... |
https://github.com/huggingface/datasets/issues/3547 | Hi! Is there a workaround for the time being?
Like passing `data_dir` or something like that?
I would like to use [this diffuser example](https://github.com/huggingface/diffusers/tree/main/examples/unconditional_image_generation) on my cluster whose nodes are not connected to the internet. I have downloaded the dat... | Datasets created with `push_to_hub` can't be accessed in offline mode | ## Describe the bug
In offline mode, one can still access previously-cached datasets. This fails with datasets created with `push_to_hub`.
## Steps to reproduce the bug
in Python:
```
import datasets
mpwiki = datasets.load_dataset("teven/matched_passages_wikidata")
```
in bash:
```
export HF_DATASETS_OFFLIN... | 45 | Datasets created with `push_to_hub` can't be accessed in offline mode
## Describe the bug
In offline mode, one can still access previously-cached datasets. This fails with datasets created with `push_to_hub`.
## Steps to reproduce the bug
in Python:
```
import datasets
mpwiki = datasets.load_dataset("teven/ma... | [
-0.3247848451137543,
-0.5047325491905212,
-0.0002515651285648346,
0.21967872977256775,
0.152711883187294,
-0.10468874871730804,
0.4320303797721863,
0.04485219344496727,
0.05850377678871155,
0.2133614420890808,
-0.15318924188613892,
0.20678693056106567,
-0.013476960361003876,
0.042082302272... |
https://github.com/huggingface/datasets/issues/3547 | Hi ! Yes you can save your dataset locally with `my_dataset.save_to_disk("path/to/local")` and reload it later with `load_from_disk("path/to/local")`
(removing myself from assignees since I'm currently not working on this right now) | Datasets created with `push_to_hub` can't be accessed in offline mode | ## Describe the bug
In offline mode, one can still access previously-cached datasets. This fails with datasets created with `push_to_hub`.
## Steps to reproduce the bug
in Python:
```
import datasets
mpwiki = datasets.load_dataset("teven/matched_passages_wikidata")
```
in bash:
```
export HF_DATASETS_OFFLIN... | 30 | Datasets created with `push_to_hub` can't be accessed in offline mode
## Describe the bug
In offline mode, one can still access previously-cached datasets. This fails with datasets created with `push_to_hub`.
## Steps to reproduce the bug
in Python:
```
import datasets
mpwiki = datasets.load_dataset("teven/ma... | [
-0.353150874376297,
-0.3197280764579773,
-0.0032497942447662354,
0.20286883413791656,
0.14619868993759155,
0.17371821403503418,
0.44394463300704956,
0.14540687203407288,
0.19849056005477905,
0.09130549430847168,
-0.28008925914764404,
0.01000293344259262,
0.08650468289852142,
0.165842682123... |
https://github.com/huggingface/datasets/issues/3547 | Any idea @lhoestq who to tag to fix this ? This is a very annoying bug, which is becoming more and more present since the push_to_hub API is getting used more ? | Datasets created with `push_to_hub` can't be accessed in offline mode | ## Describe the bug
In offline mode, one can still access previously-cached datasets. This fails with datasets created with `push_to_hub`.
## Steps to reproduce the bug
in Python:
```
import datasets
mpwiki = datasets.load_dataset("teven/matched_passages_wikidata")
```
in bash:
```
export HF_DATASETS_OFFLIN... | 32 | Datasets created with `push_to_hub` can't be accessed in offline mode
## Describe the bug
In offline mode, one can still access previously-cached datasets. This fails with datasets created with `push_to_hub`.
## Steps to reproduce the bug
in Python:
```
import datasets
mpwiki = datasets.load_dataset("teven/ma... | [
-0.2875521183013916,
-0.35430973768234253,
-0.011735305190086365,
0.21019107103347778,
0.1528407633304596,
0.19440564513206482,
0.5665085911750793,
0.13394923508167267,
0.1539742797613144,
0.09263329952955246,
-0.13024771213531494,
0.02481309324502945,
0.11667526513338089,
0.12300591915845... |
https://github.com/huggingface/datasets/issues/3547 | It should be easier to implement now that we improved the caching of datasets from `push_to_hub`: each dataset has its own directory in the cache.
The cache structure has been improved in https://github.com/huggingface/datasets/pull/5331. Now the cache structure is `"{namespace__}<dataset_name>/<config_name>/<versio... | Datasets created with `push_to_hub` can't be accessed in offline mode | ## Describe the bug
In offline mode, one can still access previously-cached datasets. This fails with datasets created with `push_to_hub`.
## Steps to reproduce the bug
in Python:
```
import datasets
mpwiki = datasets.load_dataset("teven/matched_passages_wikidata")
```
in bash:
```
export HF_DATASETS_OFFLIN... | 91 | Datasets created with `push_to_hub` can't be accessed in offline mode
## Describe the bug
In offline mode, one can still access previously-cached datasets. This fails with datasets created with `push_to_hub`.
## Steps to reproduce the bug
in Python:
```
import datasets
mpwiki = datasets.load_dataset("teven/ma... | [
-0.30459508299827576,
-0.38094186782836914,
0.0066871121525764465,
0.25334638357162476,
0.1383620947599411,
0.07272139191627502,
0.37521418929100037,
0.23341166973114014,
0.20198869705200195,
0.011397458612918854,
-0.31709858775138855,
0.1475990265607834,
0.029515542089939117,
0.1827070713... |
https://github.com/huggingface/datasets/issues/3547 | I started a PR to draft the logic to reload datasets from the cache fi they were created with push_to_hub: https://github.com/huggingface/datasets/pull/6459
Feel free to try it out | Datasets created with `push_to_hub` can't be accessed in offline mode | ## Describe the bug
In offline mode, one can still access previously-cached datasets. This fails with datasets created with `push_to_hub`.
## Steps to reproduce the bug
in Python:
```
import datasets
mpwiki = datasets.load_dataset("teven/matched_passages_wikidata")
```
in bash:
```
export HF_DATASETS_OFFLIN... | 27 | Datasets created with `push_to_hub` can't be accessed in offline mode
## Describe the bug
In offline mode, one can still access previously-cached datasets. This fails with datasets created with `push_to_hub`.
## Steps to reproduce the bug
in Python:
```
import datasets
mpwiki = datasets.load_dataset("teven/ma... | [
-0.2612558901309967,
-0.47510388493537903,
-0.017316732555627823,
0.27128085494041443,
0.1512058824300766,
0.1140630692243576,
0.387888640165329,
0.08904111385345459,
0.2263665795326233,
0.02559393271803856,
-0.2872263193130493,
-0.0110248364508152,
0.12130150943994522,
0.1988600492477417,... |
https://github.com/huggingface/datasets/issues/3547 | Which version of `datasets` are you using ? This issue has been fixed with `datasets` 2.16 | Datasets created with `push_to_hub` can't be accessed in offline mode | ## Describe the bug
In offline mode, one can still access previously-cached datasets. This fails with datasets created with `push_to_hub`.
## Steps to reproduce the bug
in Python:
```
import datasets
mpwiki = datasets.load_dataset("teven/matched_passages_wikidata")
```
in bash:
```
export HF_DATASETS_OFFLIN... | 16 | Datasets created with `push_to_hub` can't be accessed in offline mode
## Describe the bug
In offline mode, one can still access previously-cached datasets. This fails with datasets created with `push_to_hub`.
## Steps to reproduce the bug
in Python:
```
import datasets
mpwiki = datasets.load_dataset("teven/ma... | [
-0.32677245140075684,
-0.39736777544021606,
-0.023936724290251732,
0.2029590904712677,
0.1150939092040062,
0.1271596997976303,
0.47627338767051697,
0.19617336988449097,
0.19484159350395203,
0.1081995740532875,
-0.22178907692432404,
0.003371983766555786,
0.17184776067733765,
0.1319915950298... |
https://github.com/huggingface/datasets/issues/3543 | Hi ! Thanks for your message :) This is a great idea indeed. We haven't started working on this yet though. For now I guess you can host your metric on the Hub (either with your model or your dataset) and use `hf_hub_download` to download it (docs [here](https://github.com/huggingface/huggingface_hub/blob/main/docs/hub... | Allow loading community metrics from the hub, just like datasets | **Is your feature request related to a problem? Please describe.**
Currently, I can load a metric implemented by me by providing the local path to the file in `load_metric`.
However, there is no option to do it with the metric uploaded to the hub.
This means that if I want to allow other users to use it, they must d... | 48 | Allow loading community metrics from the hub, just like datasets
**Is your feature request related to a problem? Please describe.**
Currently, I can load a metric implemented by me by providing the local path to the file in `load_metric`.
However, there is no option to do it with the metric uploaded to the hub.
Th... | [
-0.5048285722732544,
-0.1317419707775116,
-0.04568316787481308,
0.11887921392917633,
0.03014155477285385,
-0.05572539567947388,
0.15931017696857452,
0.013090163469314575,
0.4941082000732422,
0.4180034399032593,
-0.4741498827934265,
0.294192373752594,
-0.030540989711880684,
0.39886128902435... |
https://github.com/huggingface/datasets/issues/3543 | Here's the code I used, in case it can be of help to someone else:
```python
import os, shutil
from huggingface_hub import hf_hub_download
def download_metric(repo_id, file_path):
# repo_id: for models "username/model_name", for datasets "datasets/username/model_name"
local_metric_path = hf_hub_download(r... | Allow loading community metrics from the hub, just like datasets | **Is your feature request related to a problem? Please describe.**
Currently, I can load a metric implemented by me by providing the local path to the file in `load_metric`.
However, there is no option to do it with the metric uploaded to the hub.
This means that if I want to allow other users to use it, they must d... | 55 | Allow loading community metrics from the hub, just like datasets
**Is your feature request related to a problem? Please describe.**
Currently, I can load a metric implemented by me by providing the local path to the file in `load_metric`.
However, there is no option to do it with the metric uploaded to the hub.
Th... | [
-0.4704206585884094,
-0.12602578103542328,
0.0011761114001274109,
0.14799818396568298,
0.05638078972697258,
-0.07691201567649841,
0.13489174842834473,
0.07657800614833832,
0.6092928051948547,
0.4103238582611084,
-0.5060343146324158,
0.2940290570259094,
-0.06716213375329971,
0.2850584387779... |
https://github.com/huggingface/datasets/issues/3533 | Because it has dots in some YAML keys, it can't be parsed and indexed by the back-end | Task search function on hub not working correctly | When I want to look at all datasets of the category: `speech-processing` *i.e.* https://huggingface.co/datasets?task_categories=task_categories:speech-processing&sort=downloads , then the following dataset doesn't show up for some reason:
- https://huggingface.co/datasets/speech_commands
even thought it's task t... | 17 | Task search function on hub not working correctly
When I want to look at all datasets of the category: `speech-processing` *i.e.* https://huggingface.co/datasets?task_categories=task_categories:speech-processing&sort=downloads , then the following dataset doesn't show up for some reason:
- https://huggingface.co/... | [
-0.1805419623851776,
-0.642378568649292,
-0.14864131808280945,
0.28595682978630066,
0.2297505885362625,
-0.11155679821968079,
-0.0037064841017127037,
0.37212589383125305,
0.4584404230117798,
-0.01763911545276642,
-0.3031657338142395,
-0.021939702332019806,
-0.1286851167678833,
0.3014598488... |
https://github.com/huggingface/datasets/issues/3518 | In the framework of BigScience:
- bigscience-workshop/data_tooling#121
I have created this dataset as a community dataset: https://huggingface.co/datasets/albertvillanova/pmc_open_access
However, I was wondering that it may be more appropriate to move it under an org namespace: `pubmed_central` or `pmc`
This wa... | Add PubMed Central Open Access dataset | ## Adding a Dataset
- **Name:** PubMed Central Open Access
- **Description:** The PMC Open Access Subset includes more than 3.4 million journal articles and preprints that are made available under license terms that allow reuse.
- **Paper:** *link to the dataset paper if available*
- **Data:** https://www.ncbi.nlm.... | 64 | Add PubMed Central Open Access dataset
## Adding a Dataset
- **Name:** PubMed Central Open Access
- **Description:** The PMC Open Access Subset includes more than 3.4 million journal articles and preprints that are made available under license terms that allow reuse.
- **Paper:** *link to the dataset paper if avai... | [
0.015851370990276337,
0.2765920162200928,
-0.052129290997982025,
-0.0766172856092453,
0.08423331379890442,
0.0609654039144516,
0.16920578479766846,
0.17620308697223663,
0.027863681316375732,
0.023717690259218216,
-0.009646069258451462,
0.016648270189762115,
-0.21521753072738647,
-0.1154048... |
https://github.com/huggingface/datasets/issues/3518 | Why not ! Having them under such namespaces would also help people searching for this kind of datasets.
We can also invite people from pubmed at one point | Add PubMed Central Open Access dataset | ## Adding a Dataset
- **Name:** PubMed Central Open Access
- **Description:** The PMC Open Access Subset includes more than 3.4 million journal articles and preprints that are made available under license terms that allow reuse.
- **Paper:** *link to the dataset paper if available*
- **Data:** https://www.ncbi.nlm.... | 28 | Add PubMed Central Open Access dataset
## Adding a Dataset
- **Name:** PubMed Central Open Access
- **Description:** The PMC Open Access Subset includes more than 3.4 million journal articles and preprints that are made available under license terms that allow reuse.
- **Paper:** *link to the dataset paper if avai... | [
-0.12800449132919312,
0.07426443696022034,
-0.21168558299541473,
-0.2449232041835785,
-0.07053253054618835,
0.06783609092235565,
0.2654060125350952,
0.32344600558280945,
0.009977348148822784,
0.2698272466659546,
-0.06520908325910568,
0.009517841041088104,
-0.27030789852142334,
0.0643098801... |
https://github.com/huggingface/datasets/issues/3510 | Hi ! According to the DPR paper, the wikipedia dump is the one from Dec. 20, 2018.
Each instance contains a paragraph of at most 100 word, as well as the title of the wikipedia page it comes from and the DPR embedding (a 768-d vector). | `wiki_dpr` details for Open Domain Question Answering tasks | Hey guys!
Thanks for creating the `wiki_dpr` dataset!
I am currently trying to use the dataset for context retrieval using DPR on NQ questions and need details about what each of the files and data instances mean, which version of the Wikipedia dump it uses, etc. Please respond at your earliest convenience regard... | 46 | `wiki_dpr` details for Open Domain Question Answering tasks
Hey guys!
Thanks for creating the `wiki_dpr` dataset!
I am currently trying to use the dataset for context retrieval using DPR on NQ questions and need details about what each of the files and data instances mean, which version of the Wikipedia dump it... | [
0.1468070149421692,
-0.35998809337615967,
-0.11042633652687073,
0.5688871145248413,
-0.2651136517524719,
0.0071313828229904175,
0.14733092486858368,
0.11683725565671921,
-0.18016135692596436,
-0.23502443730831146,
-0.0067064277827739716,
-0.010702051222324371,
0.0064398497343063354,
0.1478... |
https://github.com/huggingface/datasets/issues/3507 | IMO, the data streaming test is good enough of a test that the dataset works correctly (assuming that we can more or less ensure that if streaming works then the non-streaming case will also work), so that for datasets that have a working dataset preview, we can remove the dummy data IMO. On the other hand, it seems li... | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data | I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point of having also the JSON metadata (dataset_infos.json file)?
On the other hand, the d... | 105 | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data
I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point o... | [
-0.2486526072025299,
0.013766780495643616,
0.02825213223695755,
0.17209264636039734,
0.034842584282159805,
0.25060802698135376,
0.3021659851074219,
0.15518000721931458,
-0.1902872771024704,
0.06833405047655106,
0.21872025728225708,
0.06464927643537521,
-0.09335470199584961,
0.2443665266036... |
https://github.com/huggingface/datasets/issues/3507 | I don't know all the details, but generally I'd be in favor of unifying the metadata formats into YAML inside .md (and so deprecating the dataset_infos.json)
(Ultimately the CI can run on "HuggingFace Actions" instead of on GitHub) | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data | I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point of having also the JSON metadata (dataset_infos.json file)?
On the other hand, the d... | 38 | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data
I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point o... | [
-0.25657033920288086,
-0.01324145495891571,
0.04611855000257492,
0.14160099625587463,
0.1393594741821289,
0.25717535614967346,
0.3560962975025177,
0.18847015500068665,
-0.2326669692993164,
0.07810458540916443,
0.15270140767097473,
0.1550491601228714,
-0.10560652613639832,
0.294240534305572... |
https://github.com/huggingface/datasets/issues/3507 | The dataset_infos.json file currently has these useful infos for each dataset configuration, that I think can be moved to the dataset tags:
- Size of the dataset in MB: download size, arrow file size, and total size (sum of download + arrow)
- Size of each split in MB and number of examples. Again this can be moved t... | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data | I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point of having also the JSON metadata (dataset_infos.json file)?
On the other hand, the d... | 355 | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data
I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point o... | [
-0.22109544277191162,
0.006915926933288574,
0.021333474665880203,
0.20003654062747955,
0.12442928552627563,
0.30794191360473633,
0.28000181913375854,
0.2172095775604248,
-0.07840511202812195,
0.09639441967010498,
0.2354324907064438,
0.18773822486400604,
-0.09008251875638962,
0.327588260173... |
https://github.com/huggingface/datasets/issues/3507 | (note that if we wanted to display sizes, etc we could also pretty easily parse the `dataset_infos.json` on the hub side) | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data | I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point of having also the JSON metadata (dataset_infos.json file)?
On the other hand, the d... | 21 | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data
I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point o... | [
-0.24488049745559692,
-0.0072730183601379395,
0.03658188879489899,
0.1965518295764923,
0.0787772536277771,
0.2738458514213562,
0.3356240391731262,
0.18309608101844788,
-0.1585742086172104,
0.11595672369003296,
0.17450539767742157,
0.12919524312019348,
-0.03863068297505379,
0.25494354963302... |
https://github.com/huggingface/datasets/issues/3507 | I agree that we can move the relevant parts of `dataset_infos.json` to the YAML tags.
> On the other hand, it seems like not all datasets have streaming enabled yet and for those datasets (if they are used a lot), I think it would be nice to continue testing some dummy data. <
> > Yes indeed, or at least make sure ... | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data | I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point of having also the JSON metadata (dataset_infos.json file)?
On the other hand, the d... | 112 | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data
I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point o... | [
-0.28442323207855225,
-0.04241625964641571,
0.05156745761632919,
0.1613871455192566,
0.09215767681598663,
0.2515726387500763,
0.2895364463329315,
0.1487918198108673,
-0.13816261291503906,
0.07376568019390106,
0.22333768010139465,
0.05957998335361481,
-0.06997138261795044,
0.300771057605743... |
https://github.com/huggingface/datasets/issues/3507 | About dummy data, please see e.g. this PR: https://github.com/huggingface/datasets/pull/3692/commits/62368daac0672041524a471386d5e78005cf357a
- I updated the previous dummy data: I just had to rename the file and its directory
- the dummy data zip contains only a single file: `pubmed22n0001.xml.gz`
Then I discov... | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data | I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point of having also the JSON metadata (dataset_infos.json file)?
On the other hand, the d... | 151 | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data
I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point o... | [
-0.14298543334007263,
-0.060847967863082886,
0.0550825260579586,
0.21128293871879578,
0.11361764371395111,
0.25248366594314575,
0.32058316469192505,
0.17419607937335968,
-0.11720949411392212,
0.12193184345960617,
0.11991115659475327,
0.023896679282188416,
-0.037739645689725876,
0.256764650... |
https://github.com/huggingface/datasets/issues/3507 | I mention in https://github.com/huggingface/datasets-server/wiki/Preliminary-design that the future "datasets server" could be in charge of generating both the dummy data and the dataset-info.json file if required (or their equivalent). | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data | I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point of having also the JSON metadata (dataset_infos.json file)?
On the other hand, the d... | 28 | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data
I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point o... | [
-0.17771437764167786,
-0.003646448254585266,
0.053685255348682404,
0.21574899554252625,
0.06342766433954239,
0.2323121875524521,
0.3523748517036438,
0.15566760301589966,
-0.16727009415626526,
0.1026073694229126,
0.1788233518600464,
0.09262633323669434,
-0.048621587455272675,
0.351820826530... |
https://github.com/huggingface/datasets/issues/3507 | Hi ! I think dummy data generation is out of scope for the datasets server, since it's about generating the original data files.
That would be amazing to have it generate the dataset_infos.json though ! | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data | I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point of having also the JSON metadata (dataset_infos.json file)?
On the other hand, the d... | 35 | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data
I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point o... | [
-0.19485872983932495,
0.010233178734779358,
0.050585273653268814,
0.23809847235679626,
0.05204762890934944,
0.23545219004154205,
0.37692388892173767,
0.11854137480258942,
-0.1812930703163147,
0.05046878382563591,
0.18596993386745453,
0.12055022269487381,
-0.06869521737098694,
0.25146222114... |
https://github.com/huggingface/datasets/issues/3507 | From some offline discussion with @mariosasko and especially for vision datasets, we'll probably not require dummy data anymore and use streaming instead :) This will make adding a new dataset much easier.
This should also make sure that streaming works as expected directly in the CI, without having to check the datas... | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data | I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point of having also the JSON metadata (dataset_infos.json file)?
On the other hand, the d... | 58 | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data
I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point o... | [
-0.32416701316833496,
0.002832844853401184,
0.053067177534103394,
0.12279077619314194,
0.08897977322340012,
0.2199127972126007,
0.2552138864994049,
0.18107596039772034,
-0.15120111405849457,
0.09831584244966507,
0.17190606892108917,
0.12442680448293686,
-0.033842578530311584,
0.32665529847... |
https://github.com/huggingface/datasets/issues/3507 | It seems that migration from dataset-info.json to dataset card YAML has been acted.
Probably it's a good idea, but I didn't find the pros and cons of this decision, so I put some I could think of:
pros:
- only one file to parse, share, sync
- it gives a hint to the users that if you write your dataset card, you... | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data | I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point of having also the JSON metadata (dataset_infos.json file)?
On the other hand, the d... | 210 | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data
I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point o... | [
-0.24581313133239746,
0.07256308197975159,
0.04908585548400879,
0.13744324445724487,
0.0960528701543808,
0.29463088512420654,
0.37755265831947327,
0.2325657457113266,
-0.22600847482681274,
0.05788741260766983,
0.2044939398765564,
0.16164755821228027,
-0.07374489307403564,
0.116988137364387... |
https://github.com/huggingface/datasets/issues/3507 | > the metadata header might be very long, before reaching the start of the README/dataset card. It might be surprising when you edit the file because the metadata is not shown on top when the dataset card is rendered (dataset page). It also somewhat prevents including large strings like the checksums
Note that we co... | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data | I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point of having also the JSON metadata (dataset_infos.json file)?
On the other hand, the d... | 214 | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data
I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point o... | [
-0.20322947204113007,
0.027549058198928833,
0.05728729069232941,
0.19546136260032654,
0.13915573060512543,
0.24962250888347626,
0.41298559308052063,
0.19449453055858612,
-0.1112273782491684,
0.07887406647205353,
0.1915493905544281,
0.15326400101184845,
-0.013792824000120163,
0.241887271404... |
https://github.com/huggingface/datasets/issues/3507 | > the metadata header might be very long, before reaching the start of the README/dataset card. It might be surprising when you edit the file because the metadata is not shown on top when the dataset card is rendered (dataset page). It also somewhat prevents including large strings like the checksums
We can definite... | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data | I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point of having also the JSON metadata (dataset_infos.json file)?
On the other hand, the d... | 66 | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data
I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point o... | [
-0.2525480389595032,
-0.004523083567619324,
0.042258430272340775,
0.21928714215755463,
0.10784964263439178,
0.26155611872673035,
0.3254028856754303,
0.20544371008872986,
-0.13671988248825073,
0.09937569499015808,
0.17844028770923615,
0.18670237064361572,
-0.015996044501662254,
0.2168876230... |
https://github.com/huggingface/datasets/issues/3507 | Tensorflow Datasets catalog includes a community catalog where you can find and use HF datasets (see [here](https://www.tensorflow.org/datasets/community_catalog/huggingface)).
FYI I noticed today that they are using the exported dataset_infos.json files from github to get the metadata (see their code [here](https:/... | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data | I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point of having also the JSON metadata (dataset_infos.json file)?
On the other hand, the d... | 39 | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data
I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point o... | [
-0.1930966079235077,
-0.040893226861953735,
0.017136670649051666,
0.1483711153268814,
0.08371926844120026,
0.235229030251503,
0.46178361773490906,
0.3679301142692566,
-0.1482822149991989,
0.13708826899528503,
0.07995292544364929,
0.0977993756532669,
-0.042513180524110794,
0.156961441040039... |
https://github.com/huggingface/datasets/issues/3507 | Metadata is now stored as YAML, and dummy data is deprecated, so I think we can close this issue. | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data | I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point of having also the JSON metadata (dataset_infos.json file)?
On the other hand, the d... | 19 | Discuss whether support canonical datasets w/o dataset_infos.json and/or dummy data
I open this PR to have a public discussion about this topic and make a decision.
As previously discussed, once we have the metadata in the dataset card (README file, containing both Markdown info and YAML tags), what is the point o... | [
-0.24770207703113556,
-0.020320311188697815,
0.054477863013744354,
0.19419333338737488,
0.12081271409988403,
0.25108158588409424,
0.3106642961502075,
0.16330328583717346,
-0.17735570669174194,
0.08900222927331924,
0.1695239543914795,
0.16496074199676514,
-0.06199495494365692,
0.24117870628... |
https://github.com/huggingface/datasets/issues/3505 | Hi! This is probably due to the fact that `IterableDataset.map` sets `features` to `None` before mapping examples. We can fix the issue by passing the old `features` dict to the map generator and performing encoding/decoding there (before calling the map transform function). | cast_column function not working with map function in streaming mode for Audio features | ## Describe the bug
I am trying to use Audio class for loading audio features using custom dataset. I am able to cast 'audio' feature into 'Audio' format with cast_column function. On using map function, I am not getting 'Audio' casted feature but getting path of audio file only.
I am getting features of 'audio' of s... | 42 | cast_column function not working with map function in streaming mode for Audio features
## Describe the bug
I am trying to use Audio class for loading audio features using custom dataset. I am able to cast 'audio' feature into 'Audio' format with cast_column function. On using map function, I am not getting 'Audio' ... | [
-0.26222968101501465,
-0.20250648260116577,
-0.026661915704607964,
0.35771679878234863,
0.6027311682701111,
-0.22969377040863037,
0.3419708013534546,
0.3029462993144989,
0.29765722155570984,
-0.06160444766283035,
-0.05200256034731865,
0.7353787422180176,
-0.17074771225452423,
0.19459611177... |
https://github.com/huggingface/datasets/issues/3504 | Hi @ToddMorrill, thanks for reporting.
Three weeks ago I contacted the team who created the Pile dataset to report this issue with their data host server: https://the-eye.eu
They told me that unfortunately, the-eye was heavily affected by the recent tornado catastrophe in the US. They hope to have their data back... | Unable to download PUBMED_title_abstracts_2019_baseline.jsonl.zst | ## Describe the bug
I am unable to download the PubMed dataset from the link provided in the [Hugging Face Course (Chapter 5 Section 4)](https://huggingface.co/course/chapter5/4?fw=pt).
https://the-eye.eu/public/AI/pile_preliminary_components/PUBMED_title_abstracts_2019_baseline.jsonl.zst
## Steps to reproduce ... | 53 | Unable to download PUBMED_title_abstracts_2019_baseline.jsonl.zst
## Describe the bug
I am unable to download the PubMed dataset from the link provided in the [Hugging Face Course (Chapter 5 Section 4)](https://huggingface.co/course/chapter5/4?fw=pt).
https://the-eye.eu/public/AI/pile_preliminary_components/PUBME... | [
0.07934203743934631,
-0.1990932673215866,
-0.014975089579820633,
0.32141897082328796,
0.04156889021396637,
0.09885105490684509,
0.27869847416877747,
0.3070807158946991,
-0.025631509721279144,
0.02417706698179245,
0.021318450570106506,
0.06498577445745468,
0.2614779770374298,
-0.00905165076... |
https://github.com/huggingface/datasets/issues/3504 | Hi @ToddMorrill, people from the Pile team have mirrored their data in a new host server: https://mystic.the-eye.eu
See:
- #3627
It should work if you update your URL.
We should also update the URL in our course material. | Unable to download PUBMED_title_abstracts_2019_baseline.jsonl.zst | ## Describe the bug
I am unable to download the PubMed dataset from the link provided in the [Hugging Face Course (Chapter 5 Section 4)](https://huggingface.co/course/chapter5/4?fw=pt).
https://the-eye.eu/public/AI/pile_preliminary_components/PUBMED_title_abstracts_2019_baseline.jsonl.zst
## Steps to reproduce ... | 38 | Unable to download PUBMED_title_abstracts_2019_baseline.jsonl.zst
## Describe the bug
I am unable to download the PubMed dataset from the link provided in the [Hugging Face Course (Chapter 5 Section 4)](https://huggingface.co/course/chapter5/4?fw=pt).
https://the-eye.eu/public/AI/pile_preliminary_components/PUBME... | [
0.07934203743934631,
-0.1990932673215866,
-0.014975089579820633,
0.32141897082328796,
0.04156889021396637,
0.09885105490684509,
0.27869847416877747,
0.3070807158946991,
-0.025631509721279144,
0.02417706698179245,
0.021318450570106506,
0.06498577445745468,
0.2614779770374298,
-0.00905165076... |
https://github.com/huggingface/datasets/issues/3504 | The old URL is still present in the HuggingFace course here:
https://huggingface.co/course/chapter5/4?fw=pt
I have created a PR for the Notebook here: https://github.com/huggingface/notebooks/pull/148
Not sure if the HTML is in a public repo. I wasn't able to find it. | Unable to download PUBMED_title_abstracts_2019_baseline.jsonl.zst | ## Describe the bug
I am unable to download the PubMed dataset from the link provided in the [Hugging Face Course (Chapter 5 Section 4)](https://huggingface.co/course/chapter5/4?fw=pt).
https://the-eye.eu/public/AI/pile_preliminary_components/PUBMED_title_abstracts_2019_baseline.jsonl.zst
## Steps to reproduce ... | 38 | Unable to download PUBMED_title_abstracts_2019_baseline.jsonl.zst
## Describe the bug
I am unable to download the PubMed dataset from the link provided in the [Hugging Face Course (Chapter 5 Section 4)](https://huggingface.co/course/chapter5/4?fw=pt).
https://the-eye.eu/public/AI/pile_preliminary_components/PUBME... | [
0.07934203743934631,
-0.1990932673215866,
-0.014975089579820633,
0.32141897082328796,
0.04156889021396637,
0.09885105490684509,
0.27869847416877747,
0.3070807158946991,
-0.025631509721279144,
0.02417706698179245,
0.021318450570106506,
0.06498577445745468,
0.2614779770374298,
-0.00905165076... |
https://github.com/huggingface/datasets/issues/3504 | Both URLs are broken now
`HTTPError: 404 Client Error: Not Found for URL: https://the-eye.eu/public/AI/pile_preliminary_components/PUBMED_title_abstracts_2019_baseline.jsonl.zst`
And
`ConnectTimeout: HTTPSConnectionPool(host='mystic.the-eye.eu', port=443): Max retries exceeded with url: /public/AI/pile_preliminary_c... | Unable to download PUBMED_title_abstracts_2019_baseline.jsonl.zst | ## Describe the bug
I am unable to download the PubMed dataset from the link provided in the [Hugging Face Course (Chapter 5 Section 4)](https://huggingface.co/course/chapter5/4?fw=pt).
https://the-eye.eu/public/AI/pile_preliminary_components/PUBMED_title_abstracts_2019_baseline.jsonl.zst
## Steps to reproduce ... | 34 | Unable to download PUBMED_title_abstracts_2019_baseline.jsonl.zst
## Describe the bug
I am unable to download the PubMed dataset from the link provided in the [Hugging Face Course (Chapter 5 Section 4)](https://huggingface.co/course/chapter5/4?fw=pt).
https://the-eye.eu/public/AI/pile_preliminary_components/PUBME... | [
0.07934203743934631,
-0.1990932673215866,
-0.014975089579820633,
0.32141897082328796,
0.04156889021396637,
0.09885105490684509,
0.27869847416877747,
0.3070807158946991,
-0.025631509721279144,
0.02417706698179245,
0.021318450570106506,
0.06498577445745468,
0.2614779770374298,
-0.00905165076... |
https://github.com/huggingface/datasets/issues/3504 | I was able to find a torrent with "The Pile" dataset here: [The Pile An 800GB Dataset of Diverse Text for Language Modeling ](https://academictorrents.com/details/0d366035664fdf51cfbe9f733953ba325776e667)
The complete dataset is huge, so I would suggest you to download only the "PUBMED_title_abstracts_2019_baseline.... | Unable to download PUBMED_title_abstracts_2019_baseline.jsonl.zst | ## Describe the bug
I am unable to download the PubMed dataset from the link provided in the [Hugging Face Course (Chapter 5 Section 4)](https://huggingface.co/course/chapter5/4?fw=pt).
https://the-eye.eu/public/AI/pile_preliminary_components/PUBMED_title_abstracts_2019_baseline.jsonl.zst
## Steps to reproduce ... | 66 | Unable to download PUBMED_title_abstracts_2019_baseline.jsonl.zst
## Describe the bug
I am unable to download the PubMed dataset from the link provided in the [Hugging Face Course (Chapter 5 Section 4)](https://huggingface.co/course/chapter5/4?fw=pt).
https://the-eye.eu/public/AI/pile_preliminary_components/PUBME... | [
0.07934203743934631,
-0.1990932673215866,
-0.014975089579820633,
0.32141897082328796,
0.04156889021396637,
0.09885105490684509,
0.27869847416877747,
0.3070807158946991,
-0.025631509721279144,
0.02417706698179245,
0.021318450570106506,
0.06498577445745468,
0.2614779770374298,
-0.00905165076... |
https://github.com/huggingface/datasets/issues/3504 | @albertvillanova another issue:
```
15 experiment_compute_diveristy_coeff_single_dataset_then_combined_datasets_with_domain_weights()
16 File "/lfs/ampere1/0/brando9/beyond-scale-language-data-diversity/src/diversity/div_coeff.py", line 474, in experiment_compute_diveristy_coeff_single_dataset_then_combined_da... | Unable to download PUBMED_title_abstracts_2019_baseline.jsonl.zst | ## Describe the bug
I am unable to download the PubMed dataset from the link provided in the [Hugging Face Course (Chapter 5 Section 4)](https://huggingface.co/course/chapter5/4?fw=pt).
https://the-eye.eu/public/AI/pile_preliminary_components/PUBMED_title_abstracts_2019_baseline.jsonl.zst
## Steps to reproduce ... | 182 | Unable to download PUBMED_title_abstracts_2019_baseline.jsonl.zst
## Describe the bug
I am unable to download the PubMed dataset from the link provided in the [Hugging Face Course (Chapter 5 Section 4)](https://huggingface.co/course/chapter5/4?fw=pt).
https://the-eye.eu/public/AI/pile_preliminary_components/PUBME... | [
0.07934203743934631,
-0.1990932673215866,
-0.014975089579820633,
0.32141897082328796,
0.04156889021396637,
0.09885105490684509,
0.27869847416877747,
0.3070807158946991,
-0.025631509721279144,
0.02417706698179245,
0.021318450570106506,
0.06498577445745468,
0.2614779770374298,
-0.00905165076... |
https://github.com/huggingface/datasets/issues/3504 | this seems to work but it's rather annoying.
Summary of how to make it work:
1. get urls to parquet files into a list
2. load list to load_dataset via `load_dataset('parquet', data_files=urls)` (note api names to hf are really confusing sometimes)
3. then it should work, print a batch of text.
presudo code
``... | Unable to download PUBMED_title_abstracts_2019_baseline.jsonl.zst | ## Describe the bug
I am unable to download the PubMed dataset from the link provided in the [Hugging Face Course (Chapter 5 Section 4)](https://huggingface.co/course/chapter5/4?fw=pt).
https://the-eye.eu/public/AI/pile_preliminary_components/PUBMED_title_abstracts_2019_baseline.jsonl.zst
## Steps to reproduce ... | 319 | Unable to download PUBMED_title_abstracts_2019_baseline.jsonl.zst
## Describe the bug
I am unable to download the PubMed dataset from the link provided in the [Hugging Face Course (Chapter 5 Section 4)](https://huggingface.co/course/chapter5/4?fw=pt).
https://the-eye.eu/public/AI/pile_preliminary_components/PUBME... | [
0.07934203743934631,
-0.1990932673215866,
-0.014975089579820633,
0.32141897082328796,
0.04156889021396637,
0.09885105490684509,
0.27869847416877747,
0.3070807158946991,
-0.025631509721279144,
0.02417706698179245,
0.021318450570106506,
0.06498577445745468,
0.2614779770374298,
-0.00905165076... |
https://github.com/huggingface/datasets/issues/3499 | Hi ! Data streaming uses `fsspec` to read the data files progressively. IIRC the block size for buffering is 5MiB by default. So every time you finish iterating over a block, it downloads the next one. You can still try to increase the `fsspec` block size for buffering if it can help. To do so you just need to increase... | Adjusting chunk size for streaming datasets | **Is your feature request related to a problem? Please describe.**
I want to use mc4 which I cannot save locally, so I stream it. However, I want to process the entire dataset and filter some documents from it. With the current chunk size of around 1000 documents (right?) I hit a performance bottleneck because of the ... | 99 | Adjusting chunk size for streaming datasets
**Is your feature request related to a problem? Please describe.**
I want to use mc4 which I cannot save locally, so I stream it. However, I want to process the entire dataset and filter some documents from it. With the current chunk size of around 1000 documents (right?) ... | [
-0.5548548102378845,
-0.20609533786773682,
-0.13990744948387146,
0.07090158760547638,
0.09567530453205109,
0.003773696720600128,
-0.15153098106384277,
0.32437407970428467,
-0.1375252604484558,
0.2203870266675949,
0.08629617840051651,
-0.09710893034934998,
-0.19581380486488342,
0.5901542305... |
https://github.com/huggingface/datasets/issues/3490 | Hi ! `datasets` currently supports reading local files or files over HTTP. We may add support for other filesystems (cloud storages, hdfs...) at one point though :) | Does datasets support load text from HDFS? | The raw text data is stored on HDFS due to the dataset's size is too large to store on my develop machine,
so I wander does datasets support read data from hdfs? | 27 | Does datasets support load text from HDFS?
The raw text data is stored on HDFS due to the dataset's size is too large to store on my develop machine,
so I wander does datasets support read data from hdfs?
Hi ! `datasets` currently supports reading local files or files over HTTP. We may add support for other files... | [
-0.3971250653266907,
0.07711371779441833,
-0.2187531590461731,
0.397965669631958,
0.08187757432460785,
-0.05161146819591522,
0.3947129249572754,
0.02035343647003174,
0.37521207332611084,
-0.010376229882240295,
-0.40989428758621216,
-0.11322948336601257,
0.045814596116542816,
0.441433489322... |
https://github.com/huggingface/datasets/issues/3488 | I think the test passes because it simply ignore what's after `gzip://`.
The returned urlpath is expected to look like `gzip://filename::url`, and the filename is currently considered to be what's after the final `/`, hence the result.
We can decide to change this and simply have `gzip://::url`, this way we don't... | URL query parameters are set as path in the compression hop for fsspec | ## Describe the bug
There is an ssue with `StreamingDownloadManager._extract`.
I don't know how the test `test_streaming_gg_drive_gzipped` passes:
For
```python
TEST_GG_DRIVE_GZIPPED_URL = "https://drive.google.com/uc?export=download&id=1Bt4Garpf0QLiwkJhHJzXaVa0I0H5Qhwz"
urlpath = StreamingDownloadManager().... | 61 | URL query parameters are set as path in the compression hop for fsspec
## Describe the bug
There is an ssue with `StreamingDownloadManager._extract`.
I don't know how the test `test_streaming_gg_drive_gzipped` passes:
For
```python
TEST_GG_DRIVE_GZIPPED_URL = "https://drive.google.com/uc?export=download&id=... | [
-0.1200752705335617,
-0.26689356565475464,
0.0669214278459549,
0.10358469188213348,
0.14004915952682495,
-0.08404959738254547,
0.01357150450348854,
0.1877434402704239,
-0.13668447732925415,
0.3031465411186218,
0.10423837602138519,
0.07781892269849777,
0.14256760478019714,
0.209991186857223... |
https://github.com/huggingface/datasets/issues/3485 | You can add columns that you wish to set into `torch` format using `dataset.set_format("torch", ['id', 'abc'])` so that input batch of the transform only contains those columns | skip columns which cannot set to specific format when set_format | **Is your feature request related to a problem? Please describe.**
When using `dataset.set_format("torch")`, I must make sure every columns in datasets can convert to `torch`, however, sometimes I want to keep some string columns.
**Describe the solution you'd like**
skip columns which cannot set to specific forma... | 27 | skip columns which cannot set to specific format when set_format
**Is your feature request related to a problem? Please describe.**
When using `dataset.set_format("torch")`, I must make sure every columns in datasets can convert to `torch`, however, sometimes I want to keep some string columns.
**Describe the sol... | [
-0.3243051767349243,
-0.1946023553609848,
-0.03887806460261345,
-0.15438705682754517,
0.4741528332233429,
0.2856016159057617,
0.28401073813438416,
0.4905925393104553,
-0.394092857837677,
0.09336245059967041,
-0.026392105966806412,
0.29871809482574463,
-0.062350817024707794,
0.3534403443336... |
https://github.com/huggingface/datasets/issues/3485 | Sorry, I miss `output_all_columns` args and thought after `dataset.set_format("torch", columns=columns)` I can only get specific columns I assigned. | skip columns which cannot set to specific format when set_format | **Is your feature request related to a problem? Please describe.**
When using `dataset.set_format("torch")`, I must make sure every columns in datasets can convert to `torch`, however, sometimes I want to keep some string columns.
**Describe the solution you'd like**
skip columns which cannot set to specific forma... | 18 | skip columns which cannot set to specific format when set_format
**Is your feature request related to a problem? Please describe.**
When using `dataset.set_format("torch")`, I must make sure every columns in datasets can convert to `torch`, however, sometimes I want to keep some string columns.
**Describe the sol... | [
-0.29144054651260376,
-0.22451619803905487,
-0.06928408145904541,
-0.12429258227348328,
0.4770965874195099,
0.32062554359436035,
0.12852537631988525,
0.5214927196502686,
-0.3331493139266968,
0.23110510408878326,
-0.028550373390316963,
0.3594094216823578,
-0.11132114380598068,
0.31878733634... |
https://github.com/huggingface/datasets/issues/3484 | Hi!
Yes, this makes sense for numeric values, but first I have to finish https://github.com/huggingface/datasets/pull/3336 because currently ArrayXD only allows the first dimension to be dynamic. | make shape verification to use ArrayXD instead of nested lists for map | As describe in https://github.com/huggingface/datasets/issues/2005#issuecomment-793716753 and mentioned by @mariosasko in [image feature example](https://colab.research.google.com/drive/1mIrTnqTVkWLJWoBzT1ABSe-LFelIep1c#scrollTo=ow3XHDvf2I0B&line=1&uniqifier=1), IMO make shape verifcaiton to use ArrayXD instead of nest... | 26 | make shape verification to use ArrayXD instead of nested lists for map
As describe in https://github.com/huggingface/datasets/issues/2005#issuecomment-793716753 and mentioned by @mariosasko in [image feature example](https://colab.research.google.com/drive/1mIrTnqTVkWLJWoBzT1ABSe-LFelIep1c#scrollTo=ow3XHDvf2I0B&line=... | [
-0.3617069125175476,
-0.4997367560863495,
-0.19346003234386444,
0.23829689621925354,
0.3340793550014496,
-0.09004360437393188,
0.36552560329437256,
0.27023017406463623,
0.47112274169921875,
0.2727881073951721,
-0.013780701905488968,
0.10766984522342682,
-0.056096743792295456,
0.26580455899... |
https://github.com/huggingface/datasets/issues/3480 | Thanks for reporting @SaulLu.
At first sight I think the problem is caused because `pandas` only takes into account the `compression` parameter if called with a non-null file path or buffer. And in our implementation, we call pandas `to_json` with `None` `path_or_buf`.
We should fix this:
- either handling direc... | the compression format requested when saving a dataset in json format is not respected | ## Describe the bug
In the documentation of the `to_json` method, it is stated in the parameters that
> **to_json_kwargs – Parameters to pass to pandas’s pandas.DataFrame.to_json.
however when we pass for example `compression="gzip"`, the saved file is not compressed.
Would you also have expected compression t... | 67 | the compression format requested when saving a dataset in json format is not respected
## Describe the bug
In the documentation of the `to_json` method, it is stated in the parameters that
> **to_json_kwargs – Parameters to pass to pandas’s pandas.DataFrame.to_json.
however when we pass for example `compression... | [
0.09595434367656708,
0.08432714641094208,
0.005243297666311264,
0.12493044883012772,
0.23112286627292633,
0.22844532132148743,
0.13741534948349,
0.7355430722236633,
-0.1682051122188568,
0.03226467967033386,
0.09887239336967468,
0.6285891532897949,
0.16685473918914795,
-0.1779368817806244,
... |
https://github.com/huggingface/datasets/issues/3480 | I was thinking if we can handle the `compression` parameter by ourselves? Compression types will be similar to what `pandas` offer. Initially, we can try this with 2-3 compression types and see how good/bad it is? Let me know if it sounds good, I can raise a PR for this next week | the compression format requested when saving a dataset in json format is not respected | ## Describe the bug
In the documentation of the `to_json` method, it is stated in the parameters that
> **to_json_kwargs – Parameters to pass to pandas’s pandas.DataFrame.to_json.
however when we pass for example `compression="gzip"`, the saved file is not compressed.
Would you also have expected compression t... | 52 | the compression format requested when saving a dataset in json format is not respected
## Describe the bug
In the documentation of the `to_json` method, it is stated in the parameters that
> **to_json_kwargs – Parameters to pass to pandas’s pandas.DataFrame.to_json.
however when we pass for example `compression... | [
0.09595434367656708,
0.08432714641094208,
0.005243297666311264,
0.12493044883012772,
0.23112286627292633,
0.22844532132148743,
0.13741534948349,
0.7355430722236633,
-0.1682051122188568,
0.03226467967033386,
0.09887239336967468,
0.6285891532897949,
0.16685473918914795,
-0.1779368817806244,
... |
https://github.com/huggingface/datasets/issues/3480 | Hi ! Thanks for your help @bhavitvyamalik :)
Maybe let's start with `gzip` ? I think it's the most common use case, then if we're fine with it we can add other compression methods | the compression format requested when saving a dataset in json format is not respected | ## Describe the bug
In the documentation of the `to_json` method, it is stated in the parameters that
> **to_json_kwargs – Parameters to pass to pandas’s pandas.DataFrame.to_json.
however when we pass for example `compression="gzip"`, the saved file is not compressed.
Would you also have expected compression t... | 34 | the compression format requested when saving a dataset in json format is not respected
## Describe the bug
In the documentation of the `to_json` method, it is stated in the parameters that
> **to_json_kwargs – Parameters to pass to pandas’s pandas.DataFrame.to_json.
however when we pass for example `compression... | [
0.09595434367656708,
0.08432714641094208,
0.005243297666311264,
0.12493044883012772,
0.23112286627292633,
0.22844532132148743,
0.13741534948349,
0.7355430722236633,
-0.1682051122188568,
0.03226467967033386,
0.09887239336967468,
0.6285891532897949,
0.16685473918914795,
-0.1779368817806244,
... |
Subsets and Splits
No community queries yet
The top public SQL queries from the community will appear here once available.