html_url stringlengths 48 51 | title stringlengths 5 280 | comments stringlengths 63 51.8k | body stringlengths 0 36.2k ⌀ | comment_length int64 16 1.52k | text stringlengths 159 54.1k | embeddings listlengths 768 768 |
|---|---|---|---|---|---|---|
https://github.com/huggingface/datasets/issues/5275 | YAML integer keys are not preserved Hub server-side | The bulk edit of canonical datasets (except imdb and conllpp) is running.
See e.g.: https://huggingface.co/datasets/acronym_identification/discussions/3
EDITED:
Done, except for "universal_morphologies", where I get
```
HTTPError: 413 Client Error: Payload Too Large for url: https://huggingface.co/api/valida... | After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discussions/1/files
- Original:
```yaml
... | 53 | YAML integer keys are not preserved Hub server-side
After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discu... | [
-0.026737648993730545,
-0.3303128480911255,
0.08248203992843628,
0.08531197905540466,
0.39381879568099976,
-0.08466369658708572,
0.458366721868515,
0.06925182044506073,
0.2985337972640991,
-0.023020446300506592,
-0.12341997772455215,
0.2475965917110443,
-0.23985113203525543,
0.163886666297... |
https://github.com/huggingface/datasets/issues/5275 | YAML integer keys are not preserved Hub server-side | @lhoestq, there are 6 community datasets with YAML integer keys in their `dataset_info` `class_label`:
- indonlp/indonlu
- rcds/swiss_judgment_prediction
- Jean-Baptiste/wikiner_fr
- Bingsu/Cat_and_Dog
- taskydata/tasky_or_not
- RCC-MSU/collection3
Maybe we could open a PR on them as well? | After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discussions/1/files
- Original:
```yaml
... | 36 | YAML integer keys are not preserved Hub server-side
After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discu... | [
-0.026737648993730545,
-0.3303128480911255,
0.08248203992843628,
0.08531197905540466,
0.39381879568099976,
-0.08466369658708572,
0.458366721868515,
0.06925182044506073,
0.2985337972640991,
-0.023020446300506592,
-0.12341997772455215,
0.2475965917110443,
-0.23985113203525543,
0.163886666297... |
https://github.com/huggingface/datasets/issues/5275 | YAML integer keys are not preserved Hub server-side | Let's do this then:
- [x] [indonlp/indonlu](https://huggingface.co/datasets/indonlp/indonlu/discussions/3)
- [x] rcds/swiss_judgment_prediction
- [x] Jean-Baptiste/wikiner_fr
- [x] Bingsu/Cat_and_Dog -> merged
- [x] taskydata/tasky_or_not (was already using quotes)
- [x] RCC-MSU/collection3
EDIT: all done :) | After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discussions/1/files
- Original:
```yaml
... | 32 | YAML integer keys are not preserved Hub server-side
After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discu... | [
-0.026737648993730545,
-0.3303128480911255,
0.08248203992843628,
0.08531197905540466,
0.39381879568099976,
-0.08466369658708572,
0.458366721868515,
0.06925182044506073,
0.2985337972640991,
-0.023020446300506592,
-0.12341997772455215,
0.2475965917110443,
-0.23985113203525543,
0.163886666297... |
https://github.com/huggingface/datasets/issues/5275 | YAML integer keys are not preserved Hub server-side | @lhoestq I was not asking you to do it, but asking if you agree me to do it... :man_facepalming:
As I self-assigned this issue... :sweat_smile: | After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discussions/1/files
- Original:
```yaml
... | 25 | YAML integer keys are not preserved Hub server-side
After an internal discussion (https://github.com/huggingface/moon-landing/issues/4563):
- YAML integer keys are not preserved server-side: they are transformed to strings
- See for example this Hub PR: https://huggingface.co/datasets/acronym_identification/discu... | [
-0.026737648993730545,
-0.3303128480911255,
0.08248203992843628,
0.08531197905540466,
0.39381879568099976,
-0.08466369658708572,
0.458366721868515,
0.06925182044506073,
0.2985337972640991,
-0.023020446300506592,
-0.12341997772455215,
0.2475965917110443,
-0.23985113203525543,
0.163886666297... |
https://github.com/huggingface/datasets/issues/5274 | load_dataset possibly broken for gated datasets? | Btw, thanks very much for finding the hub rollback temporary fix and bringing the issue to our attention @KhoomeiK! | ### Describe the bug
When trying to download the [winoground dataset](https://huggingface.co/datasets/facebook/winoground), I get this error unless I roll back the version of huggingface-hub:
```
[/usr/local/lib/python3.7/dist-packages/huggingface_hub/utils/_validators.py](https://localhost:8080/#) in validate_rep... | 19 | load_dataset possibly broken for gated datasets?
### Describe the bug
When trying to download the [winoground dataset](https://huggingface.co/datasets/facebook/winoground), I get this error unless I roll back the version of huggingface-hub:
```
[/usr/local/lib/python3.7/dist-packages/huggingface_hub/utils/_valid... | [
-0.4157963991165161,
-0.003922499716281891,
0.03258848562836647,
0.2657451629638672,
0.26149648427963257,
-0.057288505136966705,
0.3101871907711029,
-0.02030453085899353,
0.20287998020648956,
-0.20868028700351715,
-0.45075005292892456,
-0.1984500288963318,
-0.03992877155542374,
0.449844211... |
https://github.com/huggingface/datasets/issues/5274 | load_dataset possibly broken for gated datasets? | I see the same issue when calling `load_dataset('poloclub/diffusiondb', 'large_random_1k')` with `datasets==2.7.1` and `huggingface-hub=0.11.0`. No issue with `datasets=2.6.1` and `huggingface_hub==0.10.1`.
https://github.com/poloclub/diffusiondb/issues/7 | ### Describe the bug
When trying to download the [winoground dataset](https://huggingface.co/datasets/facebook/winoground), I get this error unless I roll back the version of huggingface-hub:
```
[/usr/local/lib/python3.7/dist-packages/huggingface_hub/utils/_validators.py](https://localhost:8080/#) in validate_rep... | 20 | load_dataset possibly broken for gated datasets?
### Describe the bug
When trying to download the [winoground dataset](https://huggingface.co/datasets/facebook/winoground), I get this error unless I roll back the version of huggingface-hub:
```
[/usr/local/lib/python3.7/dist-packages/huggingface_hub/utils/_valid... | [
-0.40456312894821167,
0.04139415919780731,
0.04964684322476387,
0.29284608364105225,
0.27923524379730225,
-0.038268204778432846,
0.4249742031097412,
-0.06314970552921295,
0.1856846958398819,
-0.16524778306484222,
-0.4365430772304535,
-0.1952556073665619,
-0.05091030150651932,
0.38398680090... |
https://github.com/huggingface/datasets/issues/5274 | load_dataset possibly broken for gated datasets? | I fixed my issue by specifying `repo_type` in `hf_hub_url()`. https://github.com/poloclub/diffusiondb/commit/9eb91c79aaca98b0515a0ce45778b8af65b84652
I opened a PR on the Winoground's repo: https://huggingface.co/datasets/facebook/winoground/discussions/2 | ### Describe the bug
When trying to download the [winoground dataset](https://huggingface.co/datasets/facebook/winoground), I get this error unless I roll back the version of huggingface-hub:
```
[/usr/local/lib/python3.7/dist-packages/huggingface_hub/utils/_validators.py](https://localhost:8080/#) in validate_rep... | 19 | load_dataset possibly broken for gated datasets?
### Describe the bug
When trying to download the [winoground dataset](https://huggingface.co/datasets/facebook/winoground), I get this error unless I roll back the version of huggingface-hub:
```
[/usr/local/lib/python3.7/dist-packages/huggingface_hub/utils/_valid... | [
-0.4178116023540497,
0.0275154709815979,
0.0417218841612339,
0.277574747800827,
0.28116151690483093,
-0.05594346672296524,
0.3734903335571289,
-0.0413263775408268,
0.20919561386108398,
-0.18582914769649506,
-0.49527499079704285,
-0.22084778547286987,
-0.022110499441623688,
0.39657065272331... |
https://github.com/huggingface/datasets/issues/5274 | load_dataset possibly broken for gated datasets? | This is a bug in the script, indeed. The most robust fix is to use a relative path instead of `hf_hub_url`, which does not depend on `huggingface_hub`'s version 🙂. I've opened a PR here: https://huggingface.co/datasets/facebook/winoground/discussions/3. | ### Describe the bug
When trying to download the [winoground dataset](https://huggingface.co/datasets/facebook/winoground), I get this error unless I roll back the version of huggingface-hub:
```
[/usr/local/lib/python3.7/dist-packages/huggingface_hub/utils/_validators.py](https://localhost:8080/#) in validate_rep... | 35 | load_dataset possibly broken for gated datasets?
### Describe the bug
When trying to download the [winoground dataset](https://huggingface.co/datasets/facebook/winoground), I get this error unless I roll back the version of huggingface-hub:
```
[/usr/local/lib/python3.7/dist-packages/huggingface_hub/utils/_valid... | [
-0.4340722858905792,
0.007443875074386597,
0.030193105340003967,
0.21088968217372894,
0.25489526987075806,
-0.043477486819028854,
0.3401607573032379,
-0.003666441887617111,
0.24593228101730347,
-0.14946769177913666,
-0.39070799946784973,
-0.23312722146511078,
-0.03673949092626572,
0.424709... |
https://github.com/huggingface/datasets/issues/5274 | load_dataset possibly broken for gated datasets? | huggingface_hub.utils._validators.HFValidationError: Repo id must be in the form 'repo_name' or 'namespace/repo_name':
tokenizer = AutoTokenizer.from_pretrained(ARGS.model_path, trust_remote_code=True)
Please handle automatically for local path and repo name inside, otherwise users always get confused about t... | ### Describe the bug
When trying to download the [winoground dataset](https://huggingface.co/datasets/facebook/winoground), I get this error unless I roll back the version of huggingface-hub:
```
[/usr/local/lib/python3.7/dist-packages/huggingface_hub/utils/_validators.py](https://localhost:8080/#) in validate_rep... | 32 | load_dataset possibly broken for gated datasets?
### Describe the bug
When trying to download the [winoground dataset](https://huggingface.co/datasets/facebook/winoground), I get this error unless I roll back the version of huggingface-hub:
```
[/usr/local/lib/python3.7/dist-packages/huggingface_hub/utils/_valid... | [
-0.4026072323322296,
0.01008535921573639,
0.029606420546770096,
0.28401583433151245,
0.2549501657485962,
-0.03881445154547691,
0.3495115339756012,
-0.052095357328653336,
0.16766710579395294,
-0.19293318688869476,
-0.46146082878112793,
-0.24034011363983154,
-0.04129740968346596,
0.394075423... |
https://github.com/huggingface/datasets/issues/5274 | load_dataset possibly broken for gated datasets? | I think I'm also hitting this error, trying to load a model from a local path. | ### Describe the bug
When trying to download the [winoground dataset](https://huggingface.co/datasets/facebook/winoground), I get this error unless I roll back the version of huggingface-hub:
```
[/usr/local/lib/python3.7/dist-packages/huggingface_hub/utils/_validators.py](https://localhost:8080/#) in validate_rep... | 16 | load_dataset possibly broken for gated datasets?
### Describe the bug
When trying to download the [winoground dataset](https://huggingface.co/datasets/facebook/winoground), I get this error unless I roll back the version of huggingface-hub:
```
[/usr/local/lib/python3.7/dist-packages/huggingface_hub/utils/_valid... | [
-0.4335635006427765,
0.0938163697719574,
0.05782533809542656,
0.24787992238998413,
0.29462873935699463,
-0.014224816113710403,
0.43324989080429077,
-0.02415703609585762,
0.2477187216281891,
-0.20607130229473114,
-0.45786425471305847,
-0.19572146236896515,
-0.03618903458118439,
0.4589136540... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | Hi ! We're using the Arrow format for the datasets, and PyArrow tensors are not part of the Arrow format AFAIK:
> There is no direct support in the arrow columnar format to store Tensors as column values.
source: https://github.com/apache/arrow/issues/4802#issuecomment-508494694 | ### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.from_numpy(x, dim_names=["dim1... | 40 | Use pyarrow Tensor dtype
### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.fro... | [
0.018438365310430527,
-0.29707032442092896,
-0.13789547979831696,
0.24755117297172546,
0.25047653913497925,
0.17885538935661316,
0.6415417194366455,
0.4522419571876526,
0.16047906875610352,
0.03203701227903366,
-0.16738787293434143,
0.3268546462059021,
-0.09618160873651505,
-0.154143944382... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | @wesm @rok its been around three years. any updates, regarding dataset arrow tensor support? 🙏 I know you must be very busy, would appreciate to learn what is the state of art. I saw the PR is still open [#8510](https://github.com/apache/arrow/pull/8510) | ### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.from_numpy(x, dim_names=["dim1... | 40 | Use pyarrow Tensor dtype
### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.fro... | [
-0.05138574540615082,
-0.2713339924812317,
-0.18894699215888977,
0.23780372738838196,
0.19903984665870667,
0.11489058285951614,
0.5828311443328857,
0.39666038751602173,
0.06404364109039307,
0.04520559310913086,
-0.05675525218248367,
0.36967623233795166,
-0.04829912632703781,
-0.11362104862... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | Hey @franz101 & @lhoestq!
There is a plan and a PR to create an [ExtensionArray of Tensors](https://github.com/apache/arrow/pull/8510) of equal sizes as well as a plan to do the same for Tensors of different sizes [ARROW-8714](https://issues.apache.org/jira/browse/ARROW-8714). | ### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.from_numpy(x, dim_names=["dim1... | 35 | Use pyarrow Tensor dtype
### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.fro... | [
0.05718875303864479,
-0.3601838946342468,
-0.17032133042812347,
0.2730177640914917,
0.21003156900405884,
0.17189845442771912,
0.5803570747375488,
0.4430302083492279,
0.11593864858150482,
0.07289420068264008,
-0.10692615807056427,
0.26417076587677,
-0.07300228625535965,
-0.18263152241706848... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | The work stalled a little because it was not clear where TensorArray would live. However Arrow community recently agreed to make a [well-known-extension-type document](https://lists.apache.org/thread/sxd5fhc42hb6svs79t3fd79gkqj83pfh) and I would like https://github.com/apache/arrow/pull/8510 to land there and add an im... | ### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.from_numpy(x, dim_names=["dim1... | 50 | Use pyarrow Tensor dtype
### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.fro... | [
0.0293353833258152,
-0.27624887228012085,
-0.195280984044075,
0.19531472027301788,
0.158242329955101,
0.11916377395391464,
0.5508672595024109,
0.3962164521217346,
0.05736576393246651,
0.07394518703222275,
-0.08601231127977371,
0.329977422952652,
-0.10304252058267593,
-0.14701290428638458,
... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | that is a great update, thank you.
it looks like this feature would benefit datasets implementation of [ArrayExtensionArray](https://github.com/huggingface/datasets/blob/9f2ff14673cac1f1ad56d80221a793f5938b68c7/src/datasets/features/features.py#L585-L641). Is that correct @eladsegal @lhoestq?
| ### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.from_numpy(x, dim_names=["dim1... | 23 | Use pyarrow Tensor dtype
### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.fro... | [
-0.05656988546252251,
-0.24875155091285706,
-0.19159077107906342,
0.16026417911052704,
0.2170582264661789,
0.17682740092277527,
0.6273602843284607,
0.38582608103752136,
0.1195155680179596,
0.07040224969387054,
-0.12419141083955765,
0.35180920362472534,
-0.0898849368095398,
-0.0561625510454... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | TensorArray sounds great ! Looking forward to it :)
We've had our own ExtensionArray for fixed shape tensors for a while now, hoping to see something more standardized by the arrow community.
Also super interested in the extension array for tensors of different sizes cc @mariosasko | ### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.from_numpy(x, dim_names=["dim1... | 46 | Use pyarrow Tensor dtype
### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.fro... | [
0.06654156744480133,
-0.37747523188591003,
-0.1661333441734314,
0.18838641047477722,
0.19850587844848633,
0.14027580618858337,
0.6032273769378662,
0.4343041181564331,
0.17919425666332245,
0.10342317819595337,
-0.054854027926921844,
0.3154323697090149,
-0.09547555446624756,
-0.1532058864831... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | @rok Thanks for keeping us updated! I think it's best to introduce a new feature type that would use this extension type under the hood. I'll create an issue to discuss the design with the community in the coming days.
Also, is there a tentative time frame for the variable-shape Tensor extension type? | ### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.from_numpy(x, dim_names=["dim1... | 53 | Use pyarrow Tensor dtype
### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.fro... | [
0.04358052834868431,
-0.39461275935173035,
-0.16347689926624298,
0.23242051899433136,
0.2152136117219925,
0.1330966055393219,
0.6192718148231506,
0.3833354115486145,
0.09690596163272858,
0.17885984480381012,
0.016185719519853592,
0.2568283975124359,
-0.10308181494474411,
0.0438578873872756... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | @mariosasko please tag me in the discussion, perhaps I can contribute.
As for the [variable shape tensor array](https://github.com/apache/arrow/issues/24868) - I'd be interested in working on it but didn't see much interest in community yet. Are you saying `huggingface/datasets` could use it? | ### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.from_numpy(x, dim_names=["dim1... | 41 | Use pyarrow Tensor dtype
### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.fro... | [
-0.054385773837566376,
-0.4536806344985962,
-0.2031669169664383,
0.23150525987148285,
0.16863718628883362,
0.07581637054681778,
0.5256622433662415,
0.319823294878006,
0.23147296905517578,
0.1751745492219925,
-0.10954748094081879,
0.14738091826438904,
-0.1243099495768547,
0.1588401049375534... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | pyarrow 12 is out 🎉, will have a look if I can work on it for the ExtensionArray | ### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.from_numpy(x, dim_names=["dim1... | 18 | Use pyarrow Tensor dtype
### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.fro... | [
0.03728571906685829,
-0.33424443006515503,
-0.18189147114753723,
0.2472975254058838,
0.23970691859722137,
0.18100276589393616,
0.5196181535720825,
0.41458767652511597,
0.13173209130764008,
0.10044227540493011,
-0.11174757033586502,
0.2739188075065613,
-0.05518048256635666,
-0.1237536594271... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | I think these two issues need to be fixed first on the Arrow side before adding the tensor feature type here: https://github.com/apache/arrow/issues/35573 and https://github.com/apache/arrow/issues/35599.
@rok We've had a couple of requests for supporting variable-shape tensors on the forum/GH, but I did not manage ... | ### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.from_numpy(x, dim_names=["dim1... | 82 | Use pyarrow Tensor dtype
### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.fro... | [
0.024114053696393967,
-0.3865976929664612,
-0.16492800414562225,
0.19825859367847443,
0.20200234651565552,
0.08815521746873856,
0.6093382835388184,
0.38911527395248413,
0.07199552655220032,
0.08206251263618469,
-0.032572194933891296,
0.3675236701965332,
-0.08546135574579239,
-0.14833444356... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | > @rok We've had a couple of requests for supporting variable-shape tensors on the forum/GH, but I did not manage to find the concrete issues using the search. TF/TFDS (and PyTorch with the `nested_tensor` API) support them, so it makes sense for us to do the same eventually (the Ray project has an [extension](https://... | ### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.from_numpy(x, dim_names=["dim1... | 79 | Use pyarrow Tensor dtype
### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.fro... | [
-0.00800170749425888,
-0.40884929895401,
-0.1568577140569687,
0.18007543683052063,
0.20729780197143555,
0.06518996506929398,
0.5626468658447266,
0.41577255725860596,
0.029195792973041534,
0.12829451262950897,
-0.12156007438898087,
0.32791128754615784,
-0.1001274362206459,
-0.07720077037811... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | Not with with the Arrow format, and therefore not in `datasets`. But they released a new [FixedShapeTensorArray](https://arrow.apache.org/docs/python/extending_types.html#fixed-size-tensor) to store tensors in Arrow format. We plan to support this in `datasets` at one point ! | ### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.from_numpy(x, dim_names=["dim1... | 34 | Use pyarrow Tensor dtype
### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.fro... | [
-0.0625188872218132,
-0.30171528458595276,
-0.1530798375606537,
0.2165992707014084,
0.22312961518764496,
0.16605111956596375,
0.6269477009773254,
0.4109233617782593,
0.10571177303791046,
0.021507814526557922,
-0.15369659662246704,
0.3499835729598999,
-0.1025398001074791,
-0.090029761195182... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | There is also an open issue to enable the conversion of `pyarrow.Tensor` to `pyarrow.FixedShapeTensorType`: https://github.com/apache/arrow/issues/35068. This way one could indirectly use `pyarrow.Tensor` in Arrow format. | ### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.from_numpy(x, dim_names=["dim1... | 25 | Use pyarrow Tensor dtype
### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.fro... | [
0.011571336537599564,
-0.3023706078529358,
-0.13965238630771637,
0.2523343563079834,
0.250771164894104,
0.15381288528442383,
0.577096700668335,
0.4251011312007904,
0.09155526757240295,
0.05140843987464905,
-0.06717922538518906,
0.31220871210098267,
-0.04894454777240753,
-0.1654490083456039... |
https://github.com/huggingface/datasets/issues/5272 | Use pyarrow Tensor dtype | We started a [mailing list discussion](https://lists.apache.org/thread/qc9qho0fg5ph1dns4hjq56hp4tj7rk1k) about potential `VariableShapeTensor` extension array, please check it out and give feedback. For more details here's also a PR https://github.com/apache/arrow/pull/37166. | ### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.from_numpy(x, dim_names=["dim1... | 26 | Use pyarrow Tensor dtype
### Feature request
I was going the discussion of converting tensors to lists.
Is there a way to leverage pyarrow's Tensors for nested arrays / embeddings?
For example:
```python
import pyarrow as pa
import numpy as np
x = np.array([[2, 2, 4], [4, 5, 100]], np.int32)
pa.Tensor.fro... | [
0.019005771726369858,
-0.28309497237205505,
-0.18861055374145508,
0.2220098078250885,
0.2580498456954956,
0.1385170817375183,
0.5342294573783875,
0.3831351399421692,
0.1403597742319107,
0.08998814970254898,
-0.08856262266635895,
0.31633326411247253,
-0.07234171032905579,
-0.147222816944122... |
https://github.com/huggingface/datasets/issues/5270 | When len(_URLS) > 16, download will hang | It can fix the bug temporarily.
```python
from datasets import DownloadConfig
config = DownloadConfig(num_proc=8)
In [5]: dataset = load_dataset('Freed-Wu/kodak', split='test', download_config=config)
Downloading and preparing dataset kodak/default to /home/wzy/.cache/huggingface/datasets/Freed-Wu___kodak/default/... | ### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2.53k/2.53k [00:00<00:00, 1.88MB/s]
[1... | 176 | When len(_URLS) > 16, download will hang
### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████... | [
-0.4846959412097931,
-0.1886126697063446,
-0.08921085298061371,
0.1572950780391693,
0.38936692476272583,
0.021227478981018066,
0.280588299036026,
0.1536388248205185,
0.272475928068161,
0.06383724510669708,
-0.2199343889951706,
-0.19931168854236603,
-0.163397878408432,
-0.13323527574539185,... |
https://github.com/huggingface/datasets/issues/5270 | When len(_URLS) > 16, download will hang | Thanks for reporting ! This sounds like an issue with python multiprocessing. If we switch to multithreading for the downloads it should be much more robust - let me know if this is something you'd like to contribute, I'd be happy to help and give you some pointers | ### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2.53k/2.53k [00:00<00:00, 1.88MB/s]
[1... | 48 | When len(_URLS) > 16, download will hang
### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████... | [
-0.4846959412097931,
-0.1886126697063446,
-0.08921085298061371,
0.1572950780391693,
0.38936692476272583,
0.021227478981018066,
0.280588299036026,
0.1536388248205185,
0.272475928068161,
0.06383724510669708,
-0.2199343889951706,
-0.19931168854236603,
-0.163397878408432,
-0.13323527574539185,... |
https://github.com/huggingface/datasets/issues/5270 | When len(_URLS) > 16, download will hang | > an issue with python multiprocessing
If it is an issue with multiprocessing, should we report it to upstream? | ### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2.53k/2.53k [00:00<00:00, 1.88MB/s]
[1... | 19 | When len(_URLS) > 16, download will hang
### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████... | [
-0.4846959412097931,
-0.1886126697063446,
-0.08921085298061371,
0.1572950780391693,
0.38936692476272583,
0.021227478981018066,
0.280588299036026,
0.1536388248205185,
0.272475928068161,
0.06383724510669708,
-0.2199343889951706,
-0.19931168854236603,
-0.163397878408432,
-0.13323527574539185,... |
https://github.com/huggingface/datasets/issues/5270 | When len(_URLS) > 16, download will hang | Debugging this would require quite some work in my opinion, and I've often failed to make reproducible examples, since it's pretty correlated to one's environment + hardware. So I wouldn't spend too much time on this unless we manage to reproduce this on another machine consistently.
Instead I'd encourage a more pra... | ### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2.53k/2.53k [00:00<00:00, 1.88MB/s]
[1... | 75 | When len(_URLS) > 16, download will hang
### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████... | [
-0.4846959412097931,
-0.1886126697063446,
-0.08921085298061371,
0.1572950780391693,
0.38936692476272583,
0.021227478981018066,
0.280588299036026,
0.1536388248205185,
0.272475928068161,
0.06383724510669708,
-0.2199343889951706,
-0.19931168854236603,
-0.163397878408432,
-0.13323527574539185,... |
https://github.com/huggingface/datasets/issues/5270 | When len(_URLS) > 16, download will hang | I am not expert of python. I hear about python has GIL, which result in multi processing is worse than multi threading. So I am not sure if this change makes sense?
And if this is a bug of multi processing, why not report to upstream and let them fix? And even if change it to multi threading, how can we make sure it... | ### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2.53k/2.53k [00:00<00:00, 1.88MB/s]
[1... | 69 | When len(_URLS) > 16, download will hang
### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████... | [
-0.4846959412097931,
-0.1886126697063446,
-0.08921085298061371,
0.1572950780391693,
0.38936692476272583,
0.021227478981018066,
0.280588299036026,
0.1536388248205185,
0.272475928068161,
0.06383724510669708,
-0.2199343889951706,
-0.19931168854236603,
-0.163397878408432,
-0.13323527574539185,... |
https://github.com/huggingface/datasets/issues/5270 | When len(_URLS) > 16, download will hang | > Just my 2c. No offense.
sure np ^^
> I hear about python has GIL, which result in multi processing is worse than multi threading. So I am not sure if this change makes sense?
Here the bottleneck speed is the bandwidth used to download the files. When downloading, the GIL is released, so multithreading gives ... | ### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████| 2.53k/2.53k [00:00<00:00, 1.88MB/s]
[1... | 179 | When len(_URLS) > 16, download will hang
### Describe the bug
```python
In [9]: dataset = load_dataset('Freed-Wu/kodak', split='test')
Downloading: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████████... | [
-0.4846959412097931,
-0.1886126697063446,
-0.08921085298061371,
0.1572950780391693,
0.38936692476272583,
0.021227478981018066,
0.280588299036026,
0.1536388248205185,
0.272475928068161,
0.06383724510669708,
-0.2199343889951706,
-0.19931168854236603,
-0.163397878408432,
-0.13323527574539185,... |
https://github.com/huggingface/datasets/issues/5265 | Get an IterableDataset from a map-style Dataset | I think `stream` could be misleading since the data is not being streamed from remote endpoints (one could think that's the case when they see `load_dataset` followed by `stream`). Hence, I prefer the second option.
PS: When we resolve https://github.com/huggingface/datasets/issues/4542, we could add `as_tf_dataset`... | This is useful to leverage iterable datasets specific features like:
- fast approximate shuffling
- lazy map, filter etc.
Iterating over the resulting iterable dataset should be at least as fast at iterating over the map-style dataset.
Here are some ideas regarding the API:
```python
# 1.
# - consistency wi... | 52 | Get an IterableDataset from a map-style Dataset
This is useful to leverage iterable datasets specific features like:
- fast approximate shuffling
- lazy map, filter etc.
Iterating over the resulting iterable dataset should be at least as fast at iterating over the map-style dataset.
Here are some ideas regard... | [
-0.38904109597206116,
-0.4121417701244354,
-0.14598558843135834,
-0.008114628493785858,
0.08181999623775482,
0.1603715717792511,
-0.005729492753744125,
0.43902459740638733,
0.3739664852619171,
0.11995375156402588,
-0.20127557218074799,
0.41926541924476624,
-0.31645911931991577,
0.519397079... |
https://github.com/huggingface/datasets/issues/5264 | `datasets` can't read a Parquet file in Python 3.9.13 | Could you share the full stack trace please ?
Can you also try running this code ? It can be useful to determine if the issue comes from `datasets` or `fsspec` (streaming) or `pyarrow` (parquet reading):
```python
ds = load_dataset("parquet", data_files=a_parquet_file_url, use_auth_token=True)
``` | ### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```python
from datasets import load_dataset
ds = load_data... | 43 | `datasets` can't read a Parquet file in Python 3.9.13
### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```pyt... | [
-0.17702947556972504,
-0.01253008097410202,
-0.04110237956047058,
0.48892682790756226,
0.13201674818992615,
0.1596626341342926,
-0.13411608338356018,
0.36671343445777893,
-0.14500068128108978,
-0.07486316561698914,
0.17587968707084656,
0.4192739427089691,
0.009590832516551018,
0.1422963887... |
https://github.com/huggingface/datasets/issues/5264 | `datasets` can't read a Parquet file in Python 3.9.13 | Here's the full trace
```
Traceback (most recent call last):
File "/home/loubna_huggingface_co/load.py", line 15, in <module>
ds_all = load_dataset("bigcode/the-stack-dedup-pjj", data_dir="data/java",use_auth_token=True, split="train", revision="v1.1.a1")
File "/opt/conda/envs/venv/lib/python3.9/site-packa... | ### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```python
from datasets import load_dataset
ds = load_data... | 301 | `datasets` can't read a Parquet file in Python 3.9.13
### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```pyt... | [
-0.17702947556972504,
-0.01253008097410202,
-0.04110237956047058,
0.48892682790756226,
0.13201674818992615,
0.1596626341342926,
-0.13411608338356018,
0.36671343445777893,
-0.14500068128108978,
-0.07486316561698914,
0.17587968707084656,
0.4192739427089691,
0.009590832516551018,
0.1422963887... |
https://github.com/huggingface/datasets/issues/5264 | `datasets` can't read a Parquet file in Python 3.9.13 | Can you check you used the right token ? You shouldn't get a 401 using your token | ### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```python
from datasets import load_dataset
ds = load_data... | 17 | `datasets` can't read a Parquet file in Python 3.9.13
### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```pyt... | [
-0.17702947556972504,
-0.01253008097410202,
-0.04110237956047058,
0.48892682790756226,
0.13201674818992615,
0.1596626341342926,
-0.13411608338356018,
0.36671343445777893,
-0.14500068128108978,
-0.07486316561698914,
0.17587968707084656,
0.4192739427089691,
0.009590832516551018,
0.1422963887... |
https://github.com/huggingface/datasets/issues/5264 | `datasets` can't read a Parquet file in Python 3.9.13 | I checked it’s the right token, when loading the full dataset I get the error after data extraction so I can access the files.
```
Downloading and preparing dataset parquet/bigcode--the-stack-dedup-pjj to /home/loubna_huggingface_co/.cache/huggingface/datasets/bigcode___parquet/bigcode--the-stack-dedup-pjj-872ffac7f... | ### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```python
from datasets import load_dataset
ds = load_data... | 172 | `datasets` can't read a Parquet file in Python 3.9.13
### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```pyt... | [
-0.17702947556972504,
-0.01253008097410202,
-0.04110237956047058,
0.48892682790756226,
0.13201674818992615,
0.1596626341342926,
-0.13411608338356018,
0.36671343445777893,
-0.14500068128108978,
-0.07486316561698914,
0.17587968707084656,
0.4192739427089691,
0.009590832516551018,
0.1422963887... |
https://github.com/huggingface/datasets/issues/5264 | `datasets` can't read a Parquet file in Python 3.9.13 | The URL is wrong indeed, the right one is the one with "resolve" (the one you get when clicking on "download")- otherwise you try to download an html page ;)
```
https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj/resolve/v1.1.a1/data/java/data_0000.parquet
``` | ### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```python
from datasets import load_dataset
ds = load_data... | 33 | `datasets` can't read a Parquet file in Python 3.9.13
### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```pyt... | [
-0.17702947556972504,
-0.01253008097410202,
-0.04110237956047058,
0.48892682790756226,
0.13201674818992615,
0.1596626341342926,
-0.13411608338356018,
0.36671343445777893,
-0.14500068128108978,
-0.07486316561698914,
0.17587968707084656,
0.4192739427089691,
0.009590832516551018,
0.1422963887... |
https://github.com/huggingface/datasets/issues/5264 | `datasets` can't read a Parquet file in Python 3.9.13 | Ah thanks! So I tried it with the first parquet file and it works, is there a way to know which parquet file was causing the issue since there are a lot of shards? | ### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```python
from datasets import load_dataset
ds = load_data... | 34 | `datasets` can't read a Parquet file in Python 3.9.13
### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```pyt... | [
-0.17702947556972504,
-0.01253008097410202,
-0.04110237956047058,
0.48892682790756226,
0.13201674818992615,
0.1596626341342926,
-0.13411608338356018,
0.36671343445777893,
-0.14500068128108978,
-0.07486316561698914,
0.17587968707084656,
0.4192739427089691,
0.009590832516551018,
0.1422963887... |
https://github.com/huggingface/datasets/issues/5264 | `datasets` can't read a Parquet file in Python 3.9.13 | I think you have to try them all :/
Alternatively you can add a try/catch in `parquet.py` in `datasets` to raise the name of the file that fails at doing `parquet_file = pq.ParquetFile(f)` when you run your initial code
```python
load_dataset("bigcode/the-stack-dedup-pjj", data_dir="data/java", split="train", revi... | ### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```python
from datasets import load_dataset
ds = load_data... | 58 | `datasets` can't read a Parquet file in Python 3.9.13
### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```pyt... | [
-0.17702947556972504,
-0.01253008097410202,
-0.04110237956047058,
0.48892682790756226,
0.13201674818992615,
0.1596626341342926,
-0.13411608338356018,
0.36671343445777893,
-0.14500068128108978,
-0.07486316561698914,
0.17587968707084656,
0.4192739427089691,
0.009590832516551018,
0.1422963887... |
https://github.com/huggingface/datasets/issues/5264 | `datasets` can't read a Parquet file in Python 3.9.13 | I did find the file, and I get the same error as before
```
Downloading data files: 100%|███████████████████| 1/1 [00:00<00:00, 8160.12it/s]
Extracting data files: 100%|████████████████████| 1/1 [00:00<00:00, 1447.81it/s]
---------------------------------------------------------------... | ### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```python
from datasets import load_dataset
ds = load_data... | 465 | `datasets` can't read a Parquet file in Python 3.9.13
### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```pyt... | [
-0.17702947556972504,
-0.01253008097410202,
-0.04110237956047058,
0.48892682790756226,
0.13201674818992615,
0.1596626341342926,
-0.13411608338356018,
0.36671343445777893,
-0.14500068128108978,
-0.07486316561698914,
0.17587968707084656,
0.4192739427089691,
0.009590832516551018,
0.1422963887... |
https://github.com/huggingface/datasets/issues/5264 | `datasets` can't read a Parquet file in Python 3.9.13 | Can you check the JSON file associated to `/home/loubna_huggingface_co/.cache/huggingface/datasets/downloads/93431bc4380de07de8b0ab533666cb5a6120cbe266779e0a63c86bf7717475d7` ? In the JSON file we can know from where it was downloaded
You can find it at `/home/loubna_huggingface_co/.cache/huggingface/datasets/downlo... | ### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```python
from datasets import load_dataset
ds = load_data... | 28 | `datasets` can't read a Parquet file in Python 3.9.13
### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```pyt... | [
-0.17702947556972504,
-0.01253008097410202,
-0.04110237956047058,
0.48892682790756226,
0.13201674818992615,
0.1596626341342926,
-0.13411608338356018,
0.36671343445777893,
-0.14500068128108978,
-0.07486316561698914,
0.17587968707084656,
0.4192739427089691,
0.009590832516551018,
0.1422963887... |
https://github.com/huggingface/datasets/issues/5264 | `datasets` can't read a Parquet file in Python 3.9.13 | I'm able to load it properly using
```python
ds = load_dataset("parquet", data_files=a_parquet_file_url, use_auth_token=token)
```
My guess is that your download was corrupted. Please delete `93431bc4380de07de8b0ab533666cb5a6120cbe266779e0a63c86bf7717475d7` and `93431bc4380de07de8b0ab533666cb5a6120cbe266779e0a63c... | ### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```python
from datasets import load_dataset
ds = load_data... | 31 | `datasets` can't read a Parquet file in Python 3.9.13
### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```pyt... | [
-0.17702947556972504,
-0.01253008097410202,
-0.04110237956047058,
0.48892682790756226,
0.13201674818992615,
0.1596626341342926,
-0.13411608338356018,
0.36671343445777893,
-0.14500068128108978,
-0.07486316561698914,
0.17587968707084656,
0.4192739427089691,
0.009590832516551018,
0.1422963887... |
https://github.com/huggingface/datasets/issues/5264 | `datasets` can't read a Parquet file in Python 3.9.13 | That worked, thanks! But I thought if something went wrong with a download `datasets` creates new cache for all the files, that's not the case? (at some point I even changed dataset versions so it was still using that cache?) | ### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```python
from datasets import load_dataset
ds = load_data... | 40 | `datasets` can't read a Parquet file in Python 3.9.13
### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```pyt... | [
-0.17702947556972504,
-0.01253008097410202,
-0.04110237956047058,
0.48892682790756226,
0.13201674818992615,
0.1596626341342926,
-0.13411608338356018,
0.36671343445777893,
-0.14500068128108978,
-0.07486316561698914,
0.17587968707084656,
0.4192739427089691,
0.009590832516551018,
0.1422963887... |
https://github.com/huggingface/datasets/issues/5264 | `datasets` can't read a Parquet file in Python 3.9.13 | Cool !
> But I thought if something went wrong with a download datasets creates new cache for all the files
We don't perform integrity verifications if we don't know in advance the hash of the file to download.
> at some point I even changed dataset versions so it was still using that cache?
`datasets` cach... | ### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```python
from datasets import load_dataset
ds = load_data... | 80 | `datasets` can't read a Parquet file in Python 3.9.13
### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```pyt... | [
-0.17702947556972504,
-0.01253008097410202,
-0.04110237956047058,
0.48892682790756226,
0.13201674818992615,
0.1596626341342926,
-0.13411608338356018,
0.36671343445777893,
-0.14500068128108978,
-0.07486316561698914,
0.17587968707084656,
0.4192739427089691,
0.009590832516551018,
0.1422963887... |
https://github.com/huggingface/datasets/issues/5264 | `datasets` can't read a Parquet file in Python 3.9.13 | I experience the same error in v 2.12.0. But found out it was due to one column from polars was a categorical dtype (related to the error from #5706. Temporarily resolved it by casting the column to str instead. | ### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```python
from datasets import load_dataset
ds = load_data... | 39 | `datasets` can't read a Parquet file in Python 3.9.13
### Describe the bug
I have an error when trying to load this [dataset](https://huggingface.co/datasets/bigcode/the-stack-dedup-pjj) (it's private but I can add you to the bigcode org). `datasets` can't read one of the parquet files in the Java subset
```pyt... | [
-0.17702947556972504,
-0.01253008097410202,
-0.04110237956047058,
0.48892682790756226,
0.13201674818992615,
0.1596626341342926,
-0.13411608338356018,
0.36671343445777893,
-0.14500068128108978,
-0.07486316561698914,
0.17587968707084656,
0.4192739427089691,
0.009590832516551018,
0.1422963887... |
https://github.com/huggingface/datasets/issues/5262 | AttributeError: 'Value' object has no attribute 'names' | Hi ! It looks like your "isDif" column is a Sequence of Value("string"), not a Sequence of ClassLabel.
You can convert your Value("string") feature type to a ClassLabel feature type this way:
```python
from datasets import ClassLabel, Sequence
# provide the label_names yourself
label_names = [...]
# OR get th... | Hello
I'm trying to build a model for custom token classification
I already followed the token classification course on huggingface
while adapting the code to my work, this message occures :
'Value' object has no attribute 'names'
Here's my code:
`raw_datasets`
generates
DatasetDict({
train: Datas... | 73 | AttributeError: 'Value' object has no attribute 'names'
Hello
I'm trying to build a model for custom token classification
I already followed the token classification course on huggingface
while adapting the code to my work, this message occures :
'Value' object has no attribute 'names'
Here's my code:
`... | [
0.07681280374526978,
-0.0706561803817749,
-0.02108447253704071,
0.28560853004455566,
0.2682996988296509,
0.08218788355588913,
0.5100249648094177,
0.3169519603252411,
0.06899365782737732,
0.346002459526062,
-0.02390863560140133,
0.21529488265514374,
-0.4021271765232086,
0.27893462777137756,... |
https://github.com/huggingface/datasets/issues/5261 | Add PubTables-1M | cc @albertvillanova the author would like to add this dataset to the hub: https://github.com/microsoft/table-transformer/issues/68#issuecomment-1319114621. Could you help him out? | ### Name
PubTables-1M
### Paper
https://openaccess.thecvf.com/content/CVPR2022/html/Smock_PubTables-1M_Towards_Comprehensive_Table_Extraction_From_Unstructured_Documents_CVPR_2022_paper.html
### Data
https://github.com/microsoft/table-transformer
### Motivation
Table Transformer is now available in 🤗 Transforme... | 19 | Add PubTables-1M
### Name
PubTables-1M
### Paper
https://openaccess.thecvf.com/content/CVPR2022/html/Smock_PubTables-1M_Towards_Comprehensive_Table_Extraction_From_Unstructured_Documents_CVPR_2022_paper.html
### Data
https://github.com/microsoft/table-transformer
### Motivation
Table Transformer is now availab... | [
-0.326011061668396,
0.052280277013778687,
-0.15174885094165802,
-0.13294534385204315,
-0.16095852851867676,
0.11952244490385056,
-0.18603631854057312,
0.4160795509815216,
-0.25693824887275696,
0.1893090009689331,
-0.12650315463542938,
0.43245434761047363,
-0.41077694296836853,
0.1312827765... |
https://github.com/huggingface/datasets/issues/5260 | consumer-finance-complaints dataset not loading | I have opened an issue in that dataset Community tab on the Hub: https://huggingface.co/datasets/consumer-finance-complaints/discussions/1
Please note that in the meantime, you can load the dataset by passing `ignore_verifications=True`:
```python
>>> ds = load_dataset("consumer-finance-complaints", ignore_verific... | ### Describe the bug
Error during dataset loading
### Steps to reproduce the bug
```
>>> import datasets
>>> cf_raw = datasets.load_dataset("consumer-finance-complaints")
Downloading builder script: 100%|██████████████████████████████████████████████████████████████████████████████████████████████████████████████... | 82 | consumer-finance-complaints dataset not loading
### Describe the bug
Error during dataset loading
### Steps to reproduce the bug
```
>>> import datasets
>>> cf_raw = datasets.load_dataset("consumer-finance-complaints")
Downloading builder script: 100%|████████████████████████████████████████████████████████████... | [
-0.5968164205551147,
0.02583453059196472,
-0.16508103907108307,
0.3414803147315979,
0.45906955003738403,
0.16584035754203796,
0.27530738711357117,
0.2919836640357971,
0.24660134315490723,
0.0764809250831604,
-0.10457689315080643,
0.15673230588436127,
0.02725924365222454,
0.2098675668239593... |
https://github.com/huggingface/datasets/issues/5259 | datasets 2.7 introduces sharding error | I notice a comment in the code says:
`Having lists of different sizes makes sharding ambigious, raise an error in this case until we decide how to define sharding without ambiguity for users`
... which suggests this update was pushed knowing that it might break some things. But, it didn't seem to have a usefu... | ### Describe the bug
dataset fails to load with runtime error
`RuntimeError: Sharding is ambiguous for this dataset: we found several data sources lists of different lengths, and we don't know over which list we should parallelize:
- key audio_files has length 46
- key data has length 0
To fix this, check the ... | 68 | datasets 2.7 introduces sharding error
### Describe the bug
dataset fails to load with runtime error
`RuntimeError: Sharding is ambiguous for this dataset: we found several data sources lists of different lengths, and we don't know over which list we should parallelize:
- key audio_files has length 46
- key d... | [
-0.5472333431243896,
-0.20049966871738434,
0.010671745985746384,
0.3500075340270996,
-0.20932556688785553,
-0.0015609264373779297,
0.47256290912628174,
0.32339635491371155,
0.03271898627281189,
-0.05292530357837677,
-0.10730823129415512,
0.08980315923690796,
-0.053820155560970306,
-0.11946... |
https://github.com/huggingface/datasets/issues/5259 | datasets 2.7 introduces sharding error | Sorry for the inconvenience, I opened a PR in your repo to fix this: https://huggingface.co/datasets/sil-ai/bloom-speech/discussions/2
Basically we've always considered lists in `gen_kwargs` to be a shard list that we can split and pass into different workers to generate the dataset (e.g. if you pass `num_proc=` in ... | ### Describe the bug
dataset fails to load with runtime error
`RuntimeError: Sharding is ambiguous for this dataset: we found several data sources lists of different lengths, and we don't know over which list we should parallelize:
- key audio_files has length 46
- key data has length 0
To fix this, check the ... | 59 | datasets 2.7 introduces sharding error
### Describe the bug
dataset fails to load with runtime error
`RuntimeError: Sharding is ambiguous for this dataset: we found several data sources lists of different lengths, and we don't know over which list we should parallelize:
- key audio_files has length 46
- key d... | [
-0.5472333431243896,
-0.20049966871738434,
0.010671745985746384,
0.3500075340270996,
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https://github.com/huggingface/datasets/issues/5258 | Restore order of split names in dataset_info for canonical datasets | The bulk edit is running...
See for example:
- A single config: https://huggingface.co/datasets/acronym_identification/discussions/2
- Multiple configs: https://huggingface.co/datasets/babi_qa/discussions/1 | After a bulk edit of canonical datasets to create the YAML `dataset_info` metadata, the split names were accidentally sorted alphabetically. See for example:
- https://huggingface.co/datasets/bc2gm_corpus/commit/2384629484401ecf4bb77cd808816719c424e57c
Note that this order is the one appearing in the preview of the... | 17 | Restore order of split names in dataset_info for canonical datasets
After a bulk edit of canonical datasets to create the YAML `dataset_info` metadata, the split names were accidentally sorted alphabetically. See for example:
- https://huggingface.co/datasets/bc2gm_corpus/commit/2384629484401ecf4bb77cd808816719c424e... | [
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https://github.com/huggingface/datasets/issues/5258 | Restore order of split names in dataset_info for canonical datasets | TODO: Add "dataset_info" YAML metadata to:
- [x] "chr_en" has no metadata JSON file, nor "dataset_info" YAML tag in its card
- Fixing PR: https://huggingface.co/datasets/chr_en/discussions/1
- [x] "conll2000" has no metadata JSON file, but it has "dataset_info" YAML tag in its card
- [x] "crime_and_punish" has n... | After a bulk edit of canonical datasets to create the YAML `dataset_info` metadata, the split names were accidentally sorted alphabetically. See for example:
- https://huggingface.co/datasets/bc2gm_corpus/commit/2384629484401ecf4bb77cd808816719c424e57c
Note that this order is the one appearing in the preview of the... | 141 | Restore order of split names in dataset_info for canonical datasets
After a bulk edit of canonical datasets to create the YAML `dataset_info` metadata, the split names were accidentally sorted alphabetically. See for example:
- https://huggingface.co/datasets/bc2gm_corpus/commit/2384629484401ecf4bb77cd808816719c424e... | [
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https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | Cool ! Let us know if you have questions or if we can help :)
I guess we'll also have to create the NYU CS Department on the Hub ? | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 30 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a ... | [
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https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | > I guess we'll also have to create the NYU CS Department on the Hub ?
Yes, you're right! Let me add it to my profile first, and then we can transfer. Meanwhile, if it's recommended to loop the dataset author in here, let me know.
Also, the NYU Depth dataset seems big. Any example scripts for creating image data... | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 64 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a ... | [
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https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | You can check the imagenet-1k one.
PS: If the licenses allows it, it'b be nice to host the dataset as sharded TAR archives (like imagenet-1k) instead of the ZIP format they use:
- it will make streaming much faster
- ZIP compression is not well suited for images
- it will allow parallel processing of the dataset ... | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 105 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a ... | [
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https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | > You can check the imagenet-1k one.
Where can I find the script? Are you referring to https://huggingface.co/docs/datasets/image_process ? Or is there anything more specific? | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 25 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a ... | [
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https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | Update: started working on it here: https://huggingface.co/datasets/sayakpaul/nyu_depth_v2.
I am facing an issue and I have detailed it here: https://huggingface.co/datasets/sayakpaul/nyu_depth_v2/discussions/1
Edit: The issue is gone.
However, since the dataset is distributed as a single TAR archive (follow... | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 57 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a ... | [
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https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | A Colab Notebook demonstrating the dataset loading part:
https://colab.research.google.com/gist/sayakpaul/aa0958c8d4ad8518d52a78f28044d871/scratchpad.ipynb
@osanseviero @lhoestq
I will work on a notebook to work with the dataset including data visualization. | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 25 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a ... | [
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0.09050934016704... |
https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | @osanseviero @lhoestq things seem to work fine with the current version of the dataset [here](https://huggingface.co/datasets/sayakpaul/nyu_depth_v2). Here's a notebook I developed to help with visualization: https://colab.research.google.com/drive/1K3ZU8XUPRDOYD38MQS9nreQXJYitlKSW?usp=sharing.
@lhoestq I need your... | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 127 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a ... | [
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0.06845851242... |
https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | > However, since the dataset is distributed as a single TAR archive (following the [URL used in TensorFlow Datasets](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/datasets/nyu_depth_v2/nyu_depth_v2_dataset_builder.py)) the loading is taking longer. How would suggest to shard the single TAR arch... | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 98 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a ... | [
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https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | > Then since the dataset is quite big, you can even shard the train split and the validation split in multiple TAR archives. Something around 16 archives for train and 4 for validation would be fine for example.
Yes, I got you. But this process seems to be manual and should be tailored for the given dataset. Do you ... | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 101 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a ... | [
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https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | > Yes, I got you. But this process seems to be manual and should be tailored for the given dataset. Do you have any script that you used to create the ImageNet-1k shards?
I don't, but I agree it'd be nice to have a script for that !
> I was not going to do that. Not sure what brought it up.
The original datase... | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 70 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a ... | [
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https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | > Where should we host the dataset? I think hosting it under hf.co/datasets (that is HF is the org) is fine as we have ImageNet-1k hosted similarly.
Maybe you can create an org for NYU Courant (this is the institute of the lab of the main author of the dataset if I'm not mistaken), and invite the authors to join.
... | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 67 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a ... | [
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https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | Updates: https://huggingface.co/datasets/sayakpaul/nyu_depth_v2/discussions/5
The entire process (preparing multiple archives, preparing data loading script, etc.) was fun and engaging, thanks to the documentation. I believe we could work on a small blog post that would work as a reference for the future contributor... | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 49 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a ... | [
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https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | > I believe we could work on a small blog post that would work as a reference for the future contributors following this path. What say?
@polinaeterna already mentioned it would be nice to present this process for audio (it's exactly the same), I believe it can be useful to many people | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 52 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a ... | [
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https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | Cool. Let's work on that after the NYU Depth Dataset is fully in on Hub (under the appropriate org). 🤗 | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 20 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a ... | [
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https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | @lhoestq need to discuss something while I am adding the dataset card to https://huggingface.co/datasets/sayakpaul/nyu_depth_v2/.
As per [Papers With Code](https://paperswithcode.com/dataset/nyuv2), NYU Depth v2 is used for many different tasks:
* Monocular depth estimation
* Depth estimation
* Semantic segme... | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 198 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a ... | [
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https://github.com/huggingface/datasets/issues/5255 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI | > What should be the plan of action for this?
When you merged https://github.com/huggingface/hub-docs/pull/488, there is a JS Interfaces GitHub Actions workflow that runs https://github.com/huggingface/hub-docs/actions/workflows/js-interfaces-tests.yml. It has a step called [export-task scripts](https://github.com/h... | ### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a couple of Depth Estimation models on Hub as well:
* [GLPN... | 68 | Add a Depth Estimation dataset - DIODE / NYUDepth / KITTI
### Name
NYUDepth
### Paper
http://cs.nyu.edu/~silberman/papers/indoor_seg_support.pdf
### Data
https://cs.nyu.edu/~silberman/datasets/nyu_depth_v2.html
### Motivation
Depth estimation is an important problem in computer vision. We have a ... | [
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https://github.com/huggingface/datasets/issues/5251 | Docs are not generated after latest release | After a discussion with @mishig25:
- He said that this action should be triggered if we call our release branch according to the regex `v*-release`, as transformers does
- I said that our procedure is different: our release branch is *temporary* and it is deleted just after the release PR is merged to main
- Indee... | After the latest `datasets` release version 0.7.0, the docs were not generated.
As we have changed the release procedure (so that now we do not push directly to main branch), maybe we should also change the corresponding GitHub action:
https://github.com/huggingface/datasets/blob/edf1902f954c5568daadebcd8754bdad4... | 105 | Docs are not generated after latest release
After the latest `datasets` release version 0.7.0, the docs were not generated.
As we have changed the release procedure (so that now we do not push directly to main branch), maybe we should also change the corresponding GitHub action:
https://github.com/huggingface/d... | [
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https://github.com/huggingface/datasets/issues/5251 | Docs are not generated after latest release | He says not; but the branch has no tag yet; does the doc building require the tag? Or just the version number in `__init__.py` or setup.py? | After the latest `datasets` release version 0.7.0, the docs were not generated.
As we have changed the release procedure (so that now we do not push directly to main branch), maybe we should also change the corresponding GitHub action:
https://github.com/huggingface/datasets/blob/edf1902f954c5568daadebcd8754bdad4... | 26 | Docs are not generated after latest release
After the latest `datasets` release version 0.7.0, the docs were not generated.
As we have changed the release procedure (so that now we do not push directly to main branch), maybe we should also change the corresponding GitHub action:
https://github.com/huggingface/d... | [
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https://github.com/huggingface/datasets/issues/5251 | Docs are not generated after latest release | It uses `module.__version__` (i.e. the one defined in `__init__.py`) - no need to have a tag
https://github.com/huggingface/doc-builder/blob/81575cf081964c30ea5fd39450f4820db963f18e/src/doc_builder/commands/build.py#L69 | After the latest `datasets` release version 0.7.0, the docs were not generated.
As we have changed the release procedure (so that now we do not push directly to main branch), maybe we should also change the corresponding GitHub action:
https://github.com/huggingface/datasets/blob/edf1902f954c5568daadebcd8754bdad4... | 17 | Docs are not generated after latest release
After the latest `datasets` release version 0.7.0, the docs were not generated.
As we have changed the release procedure (so that now we do not push directly to main branch), maybe we should also change the corresponding GitHub action:
https://github.com/huggingface/d... | [
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https://github.com/huggingface/datasets/issues/5251 | Docs are not generated after latest release | Thanks, @lhoestq.
@mishig25 has manually forced the generation of the docs, that are live for 2.7.0 version: https://huggingface.co/docs/datasets/v2.7.0/en/index | After the latest `datasets` release version 0.7.0, the docs were not generated.
As we have changed the release procedure (so that now we do not push directly to main branch), maybe we should also change the corresponding GitHub action:
https://github.com/huggingface/datasets/blob/edf1902f954c5568daadebcd8754bdad4... | 18 | Docs are not generated after latest release
After the latest `datasets` release version 0.7.0, the docs were not generated.
As we have changed the release procedure (so that now we do not push directly to main branch), maybe we should also change the corresponding GitHub action:
https://github.com/huggingface/d... | [
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https://github.com/huggingface/datasets/issues/5251 | Docs are not generated after latest release | just to confirm, is there anything I need to do from my side ? Or is everything good here ? | After the latest `datasets` release version 0.7.0, the docs were not generated.
As we have changed the release procedure (so that now we do not push directly to main branch), maybe we should also change the corresponding GitHub action:
https://github.com/huggingface/datasets/blob/edf1902f954c5568daadebcd8754bdad4... | 20 | Docs are not generated after latest release
After the latest `datasets` release version 0.7.0, the docs were not generated.
As we have changed the release procedure (so that now we do not push directly to main branch), maybe we should also change the corresponding GitHub action:
https://github.com/huggingface/d... | [
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https://github.com/huggingface/datasets/issues/5245 | Unable to rename columns in streaming dataset | Hi @peregilk this bug is directly related to https://github.com/huggingface/datasets/issues/3888, and still not fixed... But I'll try to have a look! | ### Describe the bug
Trying to rename column in a streaming datasets, destroys the features object.
### Steps to reproduce the bug
The following code illustrates the error:
```
from datasets import load_dataset
dataset = load_dataset('mc4', 'en', streaming=True, split='train')
dataset.info.features
# {'text':... | 20 | Unable to rename columns in streaming dataset
### Describe the bug
Trying to rename column in a streaming datasets, destroys the features object.
### Steps to reproduce the bug
The following code illustrates the error:
```
from datasets import load_dataset
dataset = load_dataset('mc4', 'en', streaming=True, s... | [
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0.43014580011367... |
https://github.com/huggingface/datasets/issues/5245 | Unable to rename columns in streaming dataset | Thanks @alvarobartt. It is great if you are able to fix it, but when reading the explanation it seems like it is possible to work around it.
We also tried keeping the 'info.features' and then adding a modified version back after the remove/rename. Unforutunately that leads to a dataset that is not possible to iterat... | ### Describe the bug
Trying to rename column in a streaming datasets, destroys the features object.
### Steps to reproduce the bug
The following code illustrates the error:
```
from datasets import load_dataset
dataset = load_dataset('mc4', 'en', streaming=True, split='train')
dataset.info.features
# {'text':... | 56 | Unable to rename columns in streaming dataset
### Describe the bug
Trying to rename column in a streaming datasets, destroys the features object.
### Steps to reproduce the bug
The following code illustrates the error:
```
from datasets import load_dataset
dataset = load_dataset('mc4', 'en', streaming=True, s... | [
0.21324984729290009,
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0.09364935010671616,
0.024061400443315506,
0.20062069594860077,
0.09923277795314789,
0.35532641410827... |
https://github.com/huggingface/datasets/issues/5245 | Unable to rename columns in streaming dataset | So if you iterate over the `IterableDataset` as `next(iter(ds))` and then run `rename_columns` when checking that data it will work, but in the end, it's just renaming the column one example/batch at a time, not renaming the column name for all the entries in the dataset, which is the ideal. | ### Describe the bug
Trying to rename column in a streaming datasets, destroys the features object.
### Steps to reproduce the bug
The following code illustrates the error:
```
from datasets import load_dataset
dataset = load_dataset('mc4', 'en', streaming=True, split='train')
dataset.info.features
# {'text':... | 50 | Unable to rename columns in streaming dataset
### Describe the bug
Trying to rename column in a streaming datasets, destroys the features object.
### Steps to reproduce the bug
The following code illustrates the error:
```
from datasets import load_dataset
dataset = load_dataset('mc4', 'en', streaming=True, s... | [
0.13842901587486267,
0.13755187392234802,
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0.21068021655082703,
0.07053258270025253,
0.33762091398239... |
https://github.com/huggingface/datasets/issues/5245 | Unable to rename columns in streaming dataset | @alvarobartt Thanks. My use case was that I wanted to do multiple things, ie removing all unnecessary columns, renaming some valid columns, and then using cast (in my case checking if the audio is not 16K and casting it). It is just convenient to look into the info.features between each of these operations. Alternative... | ### Describe the bug
Trying to rename column in a streaming datasets, destroys the features object.
### Steps to reproduce the bug
The following code illustrates the error:
```
from datasets import load_dataset
dataset = load_dataset('mc4', 'en', streaming=True, split='train')
dataset.info.features
# {'text':... | 77 | Unable to rename columns in streaming dataset
### Describe the bug
Trying to rename column in a streaming datasets, destroys the features object.
### Steps to reproduce the bug
The following code illustrates the error:
```
from datasets import load_dataset
dataset = load_dataset('mc4', 'en', streaming=True, s... | [
0.1711828112602234,
0.12219209969043732,
-0.02936290204524994,
-0.01274484395980835,
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0.1609465777873993,
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0.11220118403434753,
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0.23226982355117798,
0.1339697390794754,
0.31517460942268... |
https://github.com/huggingface/datasets/issues/5245 | Unable to rename columns in streaming dataset | If we know the features before renaming, then we know the features after renaming, so we can pass the new features to the returned dataset in `rename_column` indeed ! If anyone is interested in contributing, feel free to open a PR and I'd be happy to help / give some pointers :) | ### Describe the bug
Trying to rename column in a streaming datasets, destroys the features object.
### Steps to reproduce the bug
The following code illustrates the error:
```
from datasets import load_dataset
dataset = load_dataset('mc4', 'en', streaming=True, split='train')
dataset.info.features
# {'text':... | 52 | Unable to rename columns in streaming dataset
### Describe the bug
Trying to rename column in a streaming datasets, destroys the features object.
### Steps to reproduce the bug
The following code illustrates the error:
```
from datasets import load_dataset
dataset = load_dataset('mc4', 'en', streaming=True, s... | [
0.19364456832408905,
0.13193869590759277,
-0.05114538222551346,
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0.2468031942844391,
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0.36462390422821045,
... |
https://github.com/huggingface/datasets/issues/5244 | Allow dataset streaming from private a private source when loading a dataset with a dataset loading script | Hi ! What kind of private source ? We're exploring adding support for cloud storage and URIs like s3://, gs:// etc. with authentication in the download manager | ### Feature request
Add arguments to the function _get_authentication_headers_for_url_ like custom_endpoint and custom_token in order to add flexibility when downloading files from a private source.
It should also be possible to provide these arguments from the dataset loading script, maybe giving them to the dl_... | 27 | Allow dataset streaming from private a private source when loading a dataset with a dataset loading script
### Feature request
Add arguments to the function _get_authentication_headers_for_url_ like custom_endpoint and custom_token in order to add flexibility when downloading files from a private source.
It sho... | [
-0.28211086988449097,
0.027671515941619873,
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0.2295718640089035,
0.026627397164702415,
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0.42170193791389465,
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0.17003032565116882,
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0.238406047... |
https://github.com/huggingface/datasets/issues/5244 | Allow dataset streaming from private a private source when loading a dataset with a dataset loading script | Hello! It's a google cloud storage, so gs://, but I'm using it with https.
Being able to provide a file system like [here](https://huggingface.co/docs/datasets/main/filesystems#load-serialized-datasets) would be even more practical indeed.
I've found a quite complicated workaround which consists of monkey patching al... | ### Feature request
Add arguments to the function _get_authentication_headers_for_url_ like custom_endpoint and custom_token in order to add flexibility when downloading files from a private source.
It should also be possible to provide these arguments from the dataset loading script, maybe giving them to the dl_... | 159 | Allow dataset streaming from private a private source when loading a dataset with a dataset loading script
### Feature request
Add arguments to the function _get_authentication_headers_for_url_ like custom_endpoint and custom_token in order to add flexibility when downloading files from a private source.
It sho... | [
-0.22041404247283936,
-0.010135553777217865,
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0.21085083484649658,
0.09893796592950821,
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0.46274781227111816,
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0.16745363175868988,
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0.16625230... |
https://github.com/huggingface/datasets/issues/5244 | Allow dataset streaming from private a private source when loading a dataset with a dataset loading script | I would be a big fan of this feature! @Hubert-Bonisseur if this doesn't become a supported feature, would you mind sharing your code? Thanks! | ### Feature request
Add arguments to the function _get_authentication_headers_for_url_ like custom_endpoint and custom_token in order to add flexibility when downloading files from a private source.
It should also be possible to provide these arguments from the dataset loading script, maybe giving them to the dl_... | 24 | Allow dataset streaming from private a private source when loading a dataset with a dataset loading script
### Feature request
Add arguments to the function _get_authentication_headers_for_url_ like custom_endpoint and custom_token in order to add flexibility when downloading files from a private source.
It sho... | [
-0.29826319217681885,
0.02843894064426422,
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0.2259986847639084,
0.022223085165023804,
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0.19564811885356903,
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0.2276773303747... |
https://github.com/huggingface/datasets/issues/5244 | Allow dataset streaming from private a private source when loading a dataset with a dataset loading script | > I would be a big fan of this feature! @Hubert-Bonisseur if this doesn't become a supported feature, would you mind sharing your code? Thanks!
I published it here:
https://github.com/Hubert-Bonisseur/private-dataset-hub
I modified the names of a lot of functions for privacy and I don't have time to test it agai... | ### Feature request
Add arguments to the function _get_authentication_headers_for_url_ like custom_endpoint and custom_token in order to add flexibility when downloading files from a private source.
It should also be possible to provide these arguments from the dataset loading script, maybe giving them to the dl_... | 90 | Allow dataset streaming from private a private source when loading a dataset with a dataset loading script
### Feature request
Add arguments to the function _get_authentication_headers_for_url_ like custom_endpoint and custom_token in order to add flexibility when downloading files from a private source.
It sho... | [
-0.33802658319473267,
0.03647874295711517,
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0.2390250861644745,
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0.2460654377937317,
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0.2260020822286... |
https://github.com/huggingface/datasets/issues/5244 | Allow dataset streaming from private a private source when loading a dataset with a dataset loading script | Given the amount of patching it does, this is likely to break at one point. I'd encourage you to wait for a proper support in `datasets` directly if you can wait. | ### Feature request
Add arguments to the function _get_authentication_headers_for_url_ like custom_endpoint and custom_token in order to add flexibility when downloading files from a private source.
It should also be possible to provide these arguments from the dataset loading script, maybe giving them to the dl_... | 31 | Allow dataset streaming from private a private source when loading a dataset with a dataset loading script
### Feature request
Add arguments to the function _get_authentication_headers_for_url_ like custom_endpoint and custom_token in order to add flexibility when downloading files from a private source.
It sho... | [
-0.3532898724079132,
0.07631543278694153,
-0.022014226764440536,
0.21773648262023926,
0.06717164814472198,
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0.38483697175979614,
0.08317036926746368,
0.23384669423103333,
0.19278091192245483,
-0.18324461579322815,
0.22707080841064453,
-0.10399171710014343,
0.21329815685... |
https://github.com/huggingface/datasets/issues/5243 | Download only split data | Hi @capsabogdan! Unfortunately, it's hard to implement because quite often datasets data is being hosted in a single archive for all splits :( So we have to download the whole archive to split it into splits. This is the case for CommonVoice too.
However, for cases when data is distributed in separate archives ащк ... | ### Feature request
Is it possible to download only the data that I am requesting and not the entire dataset? I run out of disk spaceas it seems to download the entire dataset, instead of only the part needed.
common_voice["test"] = load_dataset("mozilla-foundation/common_voice_11_0", "en", split="test",
... | 112 | Download only split data
### Feature request
Is it possible to download only the data that I am requesting and not the entire dataset? I run out of disk spaceas it seems to download the entire dataset, instead of only the part needed.
common_voice["test"] = load_dataset("mozilla-foundation/common_voice_11_0", "en... | [
-0.23481938242912292,
-0.08549438416957855,
-0.09615485370159149,
0.3378385901451111,
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-0.061559032648801804,
0.07339735329151154,
0.37590372562... |
https://github.com/huggingface/datasets/issues/5243 | Download only split data | thank you for the answer but am not sure if this will not be helpful, as we
need maybe just 10% of the datasets for some experiment
can we get just a portion of the dataset with stream?
is there really no solution? :(
Am Di., 15. Nov. 2022 um 16:55 Uhr schrieb Polina Kazakova <
***@***.***>:
> Hi @capsabogdan <htt... | ### Feature request
Is it possible to download only the data that I am requesting and not the entire dataset? I run out of disk spaceas it seems to download the entire dataset, instead of only the part needed.
common_voice["test"] = load_dataset("mozilla-foundation/common_voice_11_0", "en", split="test",
... | 208 | Download only split data
### Feature request
Is it possible to download only the data that I am requesting and not the entire dataset? I run out of disk spaceas it seems to download the entire dataset, instead of only the part needed.
common_voice["test"] = load_dataset("mozilla-foundation/common_voice_11_0", "en... | [
-0.28640416264533997,
-0.08170537650585175,
-0.0961068719625473,
0.38392919301986694,
0.007689854130148888,
0.07335857301950455,
-0.027561988681554794,
0.5924988985061646,
-0.14146341383457184,
0.27179381251335144,
-0.5400717854499817,
-0.13353337347507477,
0.08713607490062714,
0.395754456... |
https://github.com/huggingface/datasets/issues/5243 | Download only split data | maybe it would be nice if you guys ould do some sort of shard before
loading the dataset, so users can download just chunks of data :)
I think this would be very helpful
Am Di., 15. Nov. 2022 um 19:24 Uhr schrieb Bogdan Capsa <
***@***.***>:
> thank you for the answer but am not sure if this will not be helpful, as
... | ### Feature request
Is it possible to download only the data that I am requesting and not the entire dataset? I run out of disk spaceas it seems to download the entire dataset, instead of only the part needed.
common_voice["test"] = load_dataset("mozilla-foundation/common_voice_11_0", "en", split="test",
... | 267 | Download only split data
### Feature request
Is it possible to download only the data that I am requesting and not the entire dataset? I run out of disk spaceas it seems to download the entire dataset, instead of only the part needed.
common_voice["test"] = load_dataset("mozilla-foundation/common_voice_11_0", "en... | [
-0.31875118613243103,
-0.03359415382146835,
-0.0982149988412857,
0.3342260718345642,
0.01677030697464943,
0.041636526584625244,
0.042666077613830566,
0.5354582667350769,
-0.13635702431201935,
0.22891923785209656,
-0.4802970290184021,
-0.25591447949409485,
0.1837042272090912,
0.397613227367... |
https://github.com/huggingface/datasets/issues/5243 | Download only split data | +1 on this feature request - I am running into the same problem, where I only need the test set for a dataset that has a huge training set | ### Feature request
Is it possible to download only the data that I am requesting and not the entire dataset? I run out of disk spaceas it seems to download the entire dataset, instead of only the part needed.
common_voice["test"] = load_dataset("mozilla-foundation/common_voice_11_0", "en", split="test",
... | 29 | Download only split data
### Feature request
Is it possible to download only the data that I am requesting and not the entire dataset? I run out of disk spaceas it seems to download the entire dataset, instead of only the part needed.
common_voice["test"] = load_dataset("mozilla-foundation/common_voice_11_0", "en... | [
-0.3398963212966919,
-0.10786712169647217,
-0.173423171043396,
0.2620723843574524,
0.20886552333831787,
0.18723195791244507,
0.10756394267082214,
0.6183745265007019,
-0.09515804052352905,
0.2282784879207611,
-0.31661587953567505,
-0.2530701160430908,
0.07388918101787567,
0.3585884571075439... |
https://github.com/huggingface/datasets/issues/5243 | Download only split data | Hey, I'm also interested in that as a feature. I'm having the same problem with Common Voice 13.0. The dataset is super big but I only want the test data to benchmark multilingual models, but I don't have much Terabytes to store all the dataset... | ### Feature request
Is it possible to download only the data that I am requesting and not the entire dataset? I run out of disk spaceas it seems to download the entire dataset, instead of only the part needed.
common_voice["test"] = load_dataset("mozilla-foundation/common_voice_11_0", "en", split="test",
... | 45 | Download only split data
### Feature request
Is it possible to download only the data that I am requesting and not the entire dataset? I run out of disk spaceas it seems to download the entire dataset, instead of only the part needed.
common_voice["test"] = load_dataset("mozilla-foundation/common_voice_11_0", "en... | [
-0.43506965041160583,
-0.09360335767269135,
-0.12367869913578033,
0.3269307613372803,
0.028320807963609695,
0.21107709407806396,
-0.0037720240652561188,
0.6569003462791443,
-0.11036750674247742,
0.24944254755973816,
-0.4662197530269623,
-0.2939940094947815,
0.13901084661483765,
0.238122627... |
https://github.com/huggingface/datasets/issues/5243 | Download only split data | Consider this approach: Download and save individual audio files by streaming each split, then compile a CSV file that contains the file names and corresponding text.
```python3
import os
import shutil
from pathlib import Path
import datasets
import pandas as pd
import soundfile
from datasets import Dataset... | ### Feature request
Is it possible to download only the data that I am requesting and not the entire dataset? I run out of disk spaceas it seems to download the entire dataset, instead of only the part needed.
common_voice["test"] = load_dataset("mozilla-foundation/common_voice_11_0", "en", split="test",
... | 94 | Download only split data
### Feature request
Is it possible to download only the data that I am requesting and not the entire dataset? I run out of disk spaceas it seems to download the entire dataset, instead of only the part needed.
common_voice["test"] = load_dataset("mozilla-foundation/common_voice_11_0", "en... | [
-0.20390401780605316,
-0.06830843538045883,
-0.17108486592769623,
0.3673049807548523,
0.17145445942878723,
0.04878762364387512,
0.16229397058486938,
0.5608052611351013,
-0.22030150890350342,
0.31017351150512695,
-0.5989083647727966,
-0.08936608582735062,
-0.08510374277830124,
0.24388258159... |
https://github.com/huggingface/datasets/issues/5232 | Incompatible dill versions in datasets 2.6.1 | Thanks for reporting, @vinaykakade.
We are discussing about making a release early this week.
Please note that in the meantime, in your specific case (as we also pointed out here: https://github.com/huggingface/datasets/issues/5162#issuecomment-1291720293), you can circumvent the issue by pinning `multiprocess` t... | ### Describe the bug
datasets version 2.6.1 has a dependency on dill<0.3.6. This causes a conflict with dill>=0.3.6 used by multiprocess dependency in datasets 2.6.1
This issue is already fixed in https://github.com/huggingface/datasets/pull/5166/files, but not yet been released. Please release a new version of the... | 51 | Incompatible dill versions in datasets 2.6.1
### Describe the bug
datasets version 2.6.1 has a dependency on dill<0.3.6. This causes a conflict with dill>=0.3.6 used by multiprocess dependency in datasets 2.6.1
This issue is already fixed in https://github.com/huggingface/datasets/pull/5166/files, but not yet bee... | [
-0.33200788497924805,
-0.11408456414937973,
-0.0932512879371643,
0.22560501098632812,
-0.1572226583957672,
0.005111515522003174,
0.21468092501163483,
0.4151679277420044,
-0.1323341429233551,
0.14290182292461395,
-0.08594674617052078,
0.38174355030059814,
-0.24588645994663239,
-0.2631906569... |
https://github.com/huggingface/datasets/issues/5232 | Incompatible dill versions in datasets 2.6.1 | You can also make `pip-compile` work by using the backtracking resolver (instead of the legacy one): https://pip-tools.readthedocs.io/en/latest/#a-note-on-resolvers
```
pip-compile --resolver=backtracking requirements.in
```
This resolver will automatically use `multiprocess` 0.70.13 version.
| ### Describe the bug
datasets version 2.6.1 has a dependency on dill<0.3.6. This causes a conflict with dill>=0.3.6 used by multiprocess dependency in datasets 2.6.1
This issue is already fixed in https://github.com/huggingface/datasets/pull/5166/files, but not yet been released. Please release a new version of the... | 30 | Incompatible dill versions in datasets 2.6.1
### Describe the bug
datasets version 2.6.1 has a dependency on dill<0.3.6. This causes a conflict with dill>=0.3.6 used by multiprocess dependency in datasets 2.6.1
This issue is already fixed in https://github.com/huggingface/datasets/pull/5166/files, but not yet bee... | [
-0.33200788497924805,
-0.11408456414937973,
-0.0932512879371643,
0.22560501098632812,
-0.1572226583957672,
0.005111515522003174,
0.21468092501163483,
0.4151679277420044,
-0.1323341429233551,
0.14290182292461395,
-0.08594674617052078,
0.38174355030059814,
-0.24588645994663239,
-0.2631906569... |
https://github.com/huggingface/datasets/issues/5231 | Using `set_format(type='torch', columns=columns)` makes Array2D/3D columns stop formatting correctly | In case others find this, the problem was not with set_format, but my usages of `to_pandas()` and `from_pandas()` which I was using during dataset splitting; somewhere in the chain of converting to and from pandas the `Array2D/Array3D` types get converted to series of `Sequence()` types | I have a Dataset with two Features defined as follows:
```
'image': Array3D(dtype="int64", shape=(3, 224, 224)),
'bbox': Array2D(dtype="int64", shape=(512, 4)),
```
On said dataset, if I `dataset.set_format(type='torch')` and then use the dataset in a dataloader, these columns are correctly cast to Tensors of ... | 45 | Using `set_format(type='torch', columns=columns)` makes Array2D/3D columns stop formatting correctly
I have a Dataset with two Features defined as follows:
```
'image': Array3D(dtype="int64", shape=(3, 224, 224)),
'bbox': Array2D(dtype="int64", shape=(512, 4)),
```
On said dataset, if I `dataset.set_format(t... | [
-0.15722690522670746,
-0.12960809469223022,
-0.02916853502392769,
0.1516234278678894,
0.42296743392944336,
0.09107101708650589,
1.0636125802993774,
0.3879498839378357,
-0.18780028820037842,
-0.21377374231815338,
-0.04699533432722092,
-0.1043747290968895,
-0.04661208391189575,
0.28650358319... |
https://github.com/huggingface/datasets/issues/5230 | dataclasses error when importing the library in python 3.11 | I opened [this issue](https://github.com/python/cpython/issues/99401).
Python's maintainers say that the issue is caused by [this change](https://docs.python.org/3.11/whatsnew/3.11.html#dataclasses).
I believe adding a `__hash__` method to `datasets.utils.version.Version` should solve (at least partially) this issue. | ### Describe the bug
When I import datasets using python 3.11 the dataclasses standard library raises the following error:
`ValueError: mutable default <class 'datasets.utils.version.Version'> for field version is not allowed: use default_factory`
When I tried to import the library using the following jupyter note... | 30 | dataclasses error when importing the library in python 3.11
### Describe the bug
When I import datasets using python 3.11 the dataclasses standard library raises the following error:
`ValueError: mutable default <class 'datasets.utils.version.Version'> for field version is not allowed: use default_factory`
When ... | [
-0.19007131457328796,
0.38398873805999756,
0.029516011476516724,
0.3280324339866638,
0.3062341809272766,
0.018618352711200714,
0.42503949999809265,
0.17604957520961761,
-0.2912309169769287,
-0.055900976061820984,
0.11868661642074585,
0.5071039795875549,
-0.24099431931972504,
0.175968438386... |
https://github.com/huggingface/datasets/issues/5230 | dataclasses error when importing the library in python 3.11 | Has this been fixed? I am running into this issue now.
If this has been fixed, could have a new release with this?
| ### Describe the bug
When I import datasets using python 3.11 the dataclasses standard library raises the following error:
`ValueError: mutable default <class 'datasets.utils.version.Version'> for field version is not allowed: use default_factory`
When I tried to import the library using the following jupyter note... | 23 | dataclasses error when importing the library in python 3.11
### Describe the bug
When I import datasets using python 3.11 the dataclasses standard library raises the following error:
`ValueError: mutable default <class 'datasets.utils.version.Version'> for field version is not allowed: use default_factory`
When ... | [
-0.19007131457328796,
0.38398873805999756,
0.029516011476516724,
0.3280324339866638,
0.3062341809272766,
0.018618352711200714,
0.42503949999809265,
0.17604957520961761,
-0.2912309169769287,
-0.055900976061820984,
0.11868661642074585,
0.5071039795875549,
-0.24099431931972504,
0.175968438386... |
https://github.com/huggingface/datasets/issues/5230 | dataclasses error when importing the library in python 3.11 | Hi, I am getting error while training
(tensorflow) C:\tensorflow\models\research\object_detection>python train.py --logtostderr --train_dir=training/ --pipeline_config_path=training/faster_rcnn_inception_v2_pets.config
Traceback (most recent call last):
File "C:\tensorflow\models\research\object_detection\train... | ### Describe the bug
When I import datasets using python 3.11 the dataclasses standard library raises the following error:
`ValueError: mutable default <class 'datasets.utils.version.Version'> for field version is not allowed: use default_factory`
When I tried to import the library using the following jupyter note... | 126 | dataclasses error when importing the library in python 3.11
### Describe the bug
When I import datasets using python 3.11 the dataclasses standard library raises the following error:
`ValueError: mutable default <class 'datasets.utils.version.Version'> for field version is not allowed: use default_factory`
When ... | [
-0.19007131457328796,
0.38398873805999756,
0.029516011476516724,
0.3280324339866638,
0.3062341809272766,
0.018618352711200714,
0.42503949999809265,
0.17604957520961761,
-0.2912309169769287,
-0.055900976061820984,
0.11868661642074585,
0.5071039795875549,
-0.24099431931972504,
0.175968438386... |
https://github.com/huggingface/datasets/issues/5230 | dataclasses error when importing the library in python 3.11 | @Jayanth1812 and anyone else receiving a similar issue, it most likely has to do with your Python version. Downgrading to Python 3.9 works for me, but doing a downgrade might impact a lot of things. So to be safe and what worked for me was creating a new conda environment and following the installations here: https://t... | ### Describe the bug
When I import datasets using python 3.11 the dataclasses standard library raises the following error:
`ValueError: mutable default <class 'datasets.utils.version.Version'> for field version is not allowed: use default_factory`
When I tried to import the library using the following jupyter note... | 76 | dataclasses error when importing the library in python 3.11
### Describe the bug
When I import datasets using python 3.11 the dataclasses standard library raises the following error:
`ValueError: mutable default <class 'datasets.utils.version.Version'> for field version is not allowed: use default_factory`
When ... | [
-0.19007131457328796,
0.38398873805999756,
0.029516011476516724,
0.3280324339866638,
0.3062341809272766,
0.018618352711200714,
0.42503949999809265,
0.17604957520961761,
-0.2912309169769287,
-0.055900976061820984,
0.11868661642074585,
0.5071039795875549,
-0.24099431931972504,
0.175968438386... |
https://github.com/huggingface/datasets/issues/5230 | dataclasses error when importing the library in python 3.11 | @Jayanth1812, you can see in your error stack trace, that the error is caused by the `tensorflow` library, not by the `datasets` library. See:
```
File "C:\Users\x0133252\AppData\Local\anaconda3\envs\tensorflow\Lib\dataclasses.py"
```
You should open an issue in their repository instead: https://github.com/tensor... | ### Describe the bug
When I import datasets using python 3.11 the dataclasses standard library raises the following error:
`ValueError: mutable default <class 'datasets.utils.version.Version'> for field version is not allowed: use default_factory`
When I tried to import the library using the following jupyter note... | 38 | dataclasses error when importing the library in python 3.11
### Describe the bug
When I import datasets using python 3.11 the dataclasses standard library raises the following error:
`ValueError: mutable default <class 'datasets.utils.version.Version'> for field version is not allowed: use default_factory`
When ... | [
-0.19007131457328796,
0.38398873805999756,
0.029516011476516724,
0.3280324339866638,
0.3062341809272766,
0.018618352711200714,
0.42503949999809265,
0.17604957520961761,
-0.2912309169769287,
-0.055900976061820984,
0.11868661642074585,
0.5071039795875549,
-0.24099431931972504,
0.175968438386... |
https://github.com/huggingface/datasets/issues/5229 | Type error when calling `map` over dataset containing 0-d tensors | Hi!
We could address this by calling `.item()` on such tensors to extract the value, but this would lose us the type, which could lead to storing the generated dataset in a suboptimal format. Considering this, I think the only proper fix would be implementing support for 0-D tensors on Apache Arrow's side (Arrow is... | ### Describe the bug
0-dimensional tensors in a dataset lead to `TypeError: iteration over a 0-d array` when calling `map`. It is easy to generate such tensors by using `.with_format("...")` on the whole dataset.
### Steps to reproduce the bug
```
ds = datasets.Dataset.from_list([{"a": 1}, {"a": 1}]).with_fo... | 68 | Type error when calling `map` over dataset containing 0-d tensors
### Describe the bug
0-dimensional tensors in a dataset lead to `TypeError: iteration over a 0-d array` when calling `map`. It is easy to generate such tensors by using `.with_format("...")` on the whole dataset.
### Steps to reproduce the bug
... | [
-0.3311969041824341,
-0.4426474869251251,
-0.05029460787773132,
0.3037731647491455,
0.23279066383838654,
0.1635327935218811,
0.5978664755821228,
0.595469057559967,
0.11907801032066345,
-0.06914390623569489,
0.11850184202194214,
0.5063178539276123,
-0.32683804631233215,
-0.1601342260837555,... |
https://github.com/huggingface/datasets/issues/5229 | Type error when calling `map` over dataset containing 0-d tensors | I think we can just convert the item to a numpy typed scalar using `.numpy()` ?
For example this works:
```python
import numpy as np
import pyarrow as pa
assert pa.array([np.float64(1.0)]).type == pa.float64()
assert pa.array([np.float32(1.0)]).type == pa.float32()
assert pa.array([np.int32(1)]).type == pa.i... | ### Describe the bug
0-dimensional tensors in a dataset lead to `TypeError: iteration over a 0-d array` when calling `map`. It is easy to generate such tensors by using `.with_format("...")` on the whole dataset.
### Steps to reproduce the bug
```
ds = datasets.Dataset.from_list([{"a": 1}, {"a": 1}]).with_fo... | 72 | Type error when calling `map` over dataset containing 0-d tensors
### Describe the bug
0-dimensional tensors in a dataset lead to `TypeError: iteration over a 0-d array` when calling `map`. It is easy to generate such tensors by using `.with_format("...")` on the whole dataset.
### Steps to reproduce the bug
... | [
-0.2136397510766983,
-0.42492812871932983,
-0.05938093736767769,
0.23015816509723663,
0.32796722650527954,
0.21007096767425537,
0.668013334274292,
0.40668752789497375,
0.025480717420578003,
0.025312818586826324,
0.006913729012012482,
0.7943843603134155,
-0.3726489841938019,
-0.153783962130... |
https://github.com/huggingface/datasets/issues/5228 | Loading a dataset from the hub fails if you happen to have a folder of the same name | `load_dataset` first checks for a local directory before checking for the Hub.
To make it explicit that it has to fetch the Hub, we could support the `hffs` syntax:
```python
load_dataset("hf://datasets/glue")
```
would that work for you ? Also cc @mariosasko who's leading the `hffs` project | ### Describe the bug
I'm not 100% sure this should be considered a bug, but it was certainly annoying to figure out the cause of. And perhaps I am just missing a specific argument needed to avoid this conflict. Basically I had a situation where multiple workers were downloading different parts of the glue dataset and ... | 46 | Loading a dataset from the hub fails if you happen to have a folder of the same name
### Describe the bug
I'm not 100% sure this should be considered a bug, but it was certainly annoying to figure out the cause of. And perhaps I am just missing a specific argument needed to avoid this conflict. Basically I had a sit... | [
-0.19700324535369873,
-0.04912248253822327,
-0.023299843072891235,
0.6230396032333374,
0.14223244786262512,
-0.18652287125587463,
0.45498916506767273,
0.19460003077983856,
0.3237389922142029,
0.47586268186569214,
-0.1074824333190918,
0.3798706829547882,
-0.10329516977071762,
-0.04645627737... |
https://github.com/huggingface/datasets/issues/5228 | Loading a dataset from the hub fails if you happen to have a folder of the same name | This still has no proper solution in 2.11
perhaps have a `download_config="force_remote"` or just backtrack once you reach `EmptyDatasetError` locally and then try to load it from the hub (or a local cache, as that only gets checked if there is no local folder...?) | ### Describe the bug
I'm not 100% sure this should be considered a bug, but it was certainly annoying to figure out the cause of. And perhaps I am just missing a specific argument needed to avoid this conflict. Basically I had a situation where multiple workers were downloading different parts of the glue dataset and ... | 44 | Loading a dataset from the hub fails if you happen to have a folder of the same name
### Describe the bug
I'm not 100% sure this should be considered a bug, but it was certainly annoying to figure out the cause of. And perhaps I am just missing a specific argument needed to avoid this conflict. Basically I had a sit... | [
-0.19700324535369873,
-0.04912248253822327,
-0.023299843072891235,
0.6230396032333374,
0.14223244786262512,
-0.18652287125587463,
0.45498916506767273,
0.19460003077983856,
0.3237389922142029,
0.47586268186569214,
-0.1074824333190918,
0.3798706829547882,
-0.10329516977071762,
-0.04645627737... |
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