html_url stringlengths 48 51 | title stringlengths 5 280 | comments stringlengths 63 51.8k | body stringlengths 0 36.2k β | comment_length int64 16 1.52k | text stringlengths 159 54.1k | embeddings listlengths 768 768 |
|---|---|---|---|---|---|---|
https://github.com/huggingface/datasets/issues/5226 | Q: Memory release when removing the column? | Hi ! Datasets are memory mapped from your disk, i.e. they're not loaded in RAM. This is possible thanks to the Arrow data format.
Therefore the column you remove is not in RAM, so removing it doesn't cause the RAM to decrease. | ### Describe the bug
How do I release memory when I use methods like `.remove_columns()` or `clear()` in notebooks?
```python
from datasets import load_dataset
common_voice = load_dataset("mozilla-foundation/common_voice_11_0", "ja", use_auth_token=True)
# check memory -> RAM Used (GB): 0.704 / Total (GB) 33.670... | 42 | Q: Memory release when removing the column?
### Describe the bug
How do I release memory when I use methods like `.remove_columns()` or `clear()` in notebooks?
```python
from datasets import load_dataset
common_voice = load_dataset("mozilla-foundation/common_voice_11_0", "ja", use_auth_token=True)
# check memory... | [
0.2220674604177475,
-0.3533247709274292,
0.06283588707447052,
0.3890236020088196,
0.36829710006713867,
0.12002751976251602,
0.2951798439025879,
0.11064031720161438,
0.020785856992006302,
0.197910338640213,
-0.17550791800022125,
0.294467568397522,
0.011195927858352661,
-0.21467269957065582,... |
https://github.com/huggingface/datasets/issues/5226 | Q: Memory release when removing the column? | Thanks for the explanation! @lhoestq
I wonder since it is memory mapped, can we reduce or remove this memory map? | ### Describe the bug
How do I release memory when I use methods like `.remove_columns()` or `clear()` in notebooks?
```python
from datasets import load_dataset
common_voice = load_dataset("mozilla-foundation/common_voice_11_0", "ja", use_auth_token=True)
# check memory -> RAM Used (GB): 0.704 / Total (GB) 33.670... | 20 | Q: Memory release when removing the column?
### Describe the bug
How do I release memory when I use methods like `.remove_columns()` or `clear()` in notebooks?
```python
from datasets import load_dataset
common_voice = load_dataset("mozilla-foundation/common_voice_11_0", "ja", use_auth_token=True)
# check memory... | [
0.2301347404718399,
-0.4067378044128418,
0.040279570966959,
0.3416858911514282,
0.3324722647666931,
0.14445209503173828,
0.3205757439136505,
0.14893381297588348,
0.07395464181900024,
0.1753339171409607,
-0.1886984258890152,
0.29348328709602356,
0.010722512379288673,
-0.18149344623088837,
... |
https://github.com/huggingface/datasets/issues/5225 | Add video feature | @NielsRogge @rwightman may have additional requirements regarding this feature.
When adding a new (decodable) type, the hardest part is choosing the right decoding library. What I mean by "right" here is that it has all the features we need and is easy to install (with GPU support?).
Some candidates/options:
* [... | ### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large files
2. Often times ... | 141 | Add video feature
### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large fi... | [
-0.3393101692199707,
-0.08441951870918274,
-0.16862578690052032,
-0.19289259612560272,
0.21954013407230377,
0.03882776200771332,
0.11085385084152222,
0.3420979082584381,
-0.22815464437007904,
0.1660374402999878,
0.22519473731517792,
0.2595796287059784,
-0.3449910879135132,
0.39521250128746... |
https://github.com/huggingface/datasets/issues/5225 | Add video feature | @mariosasko is GPU decoding a hard requirement here? Do we really need it? (I don't know)
Something to consider with `decord` is that it doesn't (AFAIK) support writing videos, so you'd still need something else for that. also I've noticed [issues](https://github.com/dmlc/decord/issues/242) with decord's ability to ... | ### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large files
2. Often times ... | 100 | Add video feature
### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large fi... | [
-0.380659818649292,
-0.22419776022434235,
-0.14983589947223663,
-0.23513172566890717,
0.22041524946689606,
-0.043246544897556305,
0.21850720047950745,
0.20079699158668518,
-0.34947168827056885,
0.20122216641902924,
0.16543066501617432,
0.1225285455584526,
-0.3454626202583313,
0.30690598487... |
https://github.com/huggingface/datasets/issues/5225 | Add video feature | Video is still a bit of a mess, but I'd say pyAV is likely the best approach (or supporting all three via pytorchvideo, but that adds a middle man dependency).
Being able to decode on the GPU, into memory that could be passed off to a Tensor in whatever framework is being used would be the dream, I don't think there... | ### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large files
2. Often times ... | 179 | Add video feature
### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large fi... | [
-0.2443069964647293,
-0.16014951467514038,
-0.172618106007576,
-0.20679841935634613,
0.20499585568904877,
0.0529145672917366,
0.2188313603401184,
0.36003056168556213,
-0.13617056608200073,
0.13763931393623352,
0.260751336812973,
0.26019662618637085,
-0.3231556713581085,
0.4189506471157074,... |
https://github.com/huggingface/datasets/issues/5225 | Add video feature | For standalone usage, decoding on GPU could be ideal but isn't async processing of inputs on CPUs while letting the accelerator busy for training the de-facto? Of course, I am aware of other advanced mechanisms such as CPU offloading, but I think my point is conveyed. | ### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large files
2. Often times ... | 46 | Add video feature
### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large fi... | [
-0.26419389247894287,
-0.08860434591770172,
-0.15825790166854858,
-0.1918366402387619,
0.20856265723705292,
0.08043112605810165,
0.1875593513250351,
0.34799590706825256,
-0.13541172444820404,
0.1790808141231537,
0.24263440072536469,
0.2754325270652771,
-0.35746097564697266,
0.4139474332332... |
https://github.com/huggingface/datasets/issues/5225 | Add video feature | Here's a minimal implementation of the helper functions we'd need from PyAV, a lot of which I borrowed from `pytorchvideo`, stripping out the `torch` specific stuff:
[](https://colab.research.google.com/gist/nateraw/c327cb6ff6b074e6ddc8068d19c... | ### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large files
2. Often times ... | 47 | Add video feature
### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large fi... | [
-0.2102692723274231,
-0.16554667055606842,
-0.14002306759357452,
-0.21664248406887054,
0.2835158705711365,
0.042331263422966,
0.223116934299469,
0.3155975639820099,
-0.2642407715320587,
0.16149070858955383,
0.1491650640964508,
0.32570651173591614,
-0.32590627670288086,
0.37652814388275146,... |
https://github.com/huggingface/datasets/issues/5225 | Add video feature | Also wanted to note I added a PR for video classification in `transformers` here, which uses `decord`. It's still open...should we make a decision now to align the libraries we are using between `datasets` and `transformers`? (CC @Narsil )
https://github.com/huggingface/transformers/pull/20151 | ### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large files
2. Often times ... | 40 | Add video feature
### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large fi... | [
-0.28591734170913696,
-0.2117917537689209,
-0.13405798375606537,
-0.17870889604091644,
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0.16423729062080383,
0.2441561073064804,
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0.06548626720905304,
0.15000471472740173,
0.15185002982616425,
-0.3723818361759186,
0.3626160621... |
https://github.com/huggingface/datasets/issues/5225 | Add video feature | Fully agree on at least trying to unite things.
Making clear function boundaries to help us change dependency if needed seems like a good idea since there doesn't seem to be a clear winner.
I also happen to like directly calling ffmpeg. For some reason it was a lot faster than pyav. | ### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large files
2. Often times ... | 52 | Add video feature
### Feature request
Add a `Video` feature to the library so folks can include videos in their datasets.
### Motivation
Being able to load Video data would be quite helpful. However, there are some challenges when it comes to videos:
1. Videos, unlike images, can end up being extremely large fi... | [
-0.21687616407871246,
-0.0767592340707779,
-0.1607920080423355,
-0.2859530448913574,
0.26681163907051086,
0.046189822256565094,
0.15344783663749695,
0.37540462613105774,
-0.22754260897636414,
0.11491477489471436,
0.23515748977661133,
0.2805236279964447,
-0.33055761456489563,
0.409385472536... |
https://github.com/huggingface/datasets/issues/5224 | Seems to freeze when loading audio dataset with wav files from local folder | I just tried to do the same but changing the `.wav` files to `.mp3` files and that doesn't fix it. | ### Describe the bug
I'm following the instructions in [https://huggingface.co/docs/datasets/audio_load#audiofolder-with-metadata](url) to be able to load a dataset from a local folder.
I have everything into a folder, into a train folder and then the audios and csv. When I try to load the dataset and run from term... | 20 | Seems to freeze when loading audio dataset with wav files from local folder
### Describe the bug
I'm following the instructions in [https://huggingface.co/docs/datasets/audio_load#audiofolder-with-metadata](url) to be able to load a dataset from a local folder.
I have everything into a folder, into a train folder... | [
-0.2629055082798004,
0.10347312688827515,
0.021053973585367203,
0.4765244126319885,
0.35713374614715576,
-0.021749671548604965,
0.183725506067276,
0.04563445597887039,
0.1167951375246048,
0.2796195149421692,
-0.10358839482069016,
0.23945391178131104,
-0.15856076776981354,
-0.16788451373577... |
https://github.com/huggingface/datasets/issues/5224 | Seems to freeze when loading audio dataset with wav files from local folder | I don't know if anyone will ever read this but I've tried to upload the same dataset with google colab and the output seems more clarifying. I didn't specify the train/test split so the dataset wasn't fully uploaded (or that is what I understood, might be wrong!!).
Now, including the `drop_metadata` flag I can load ... | ### Describe the bug
I'm following the instructions in [https://huggingface.co/docs/datasets/audio_load#audiofolder-with-metadata](url) to be able to load a dataset from a local folder.
I have everything into a folder, into a train folder and then the audios and csv. When I try to load the dataset and run from term... | 79 | Seems to freeze when loading audio dataset with wav files from local folder
### Describe the bug
I'm following the instructions in [https://huggingface.co/docs/datasets/audio_load#audiofolder-with-metadata](url) to be able to load a dataset from a local folder.
I have everything into a folder, into a train folder... | [
-0.2629055082798004,
0.10347312688827515,
0.021053973585367203,
0.4765244126319885,
0.35713374614715576,
-0.021749671548604965,
0.183725506067276,
0.04563445597887039,
0.1167951375246048,
0.2796195149421692,
-0.10358839482069016,
0.23945391178131104,
-0.15856076776981354,
-0.16788451373577... |
https://github.com/huggingface/datasets/issues/5224 | Seems to freeze when loading audio dataset with wav files from local folder | Yes but it didn't matter. I don't remember which of them I ended up working with. | ### Describe the bug
I'm following the instructions in [https://huggingface.co/docs/datasets/audio_load#audiofolder-with-metadata](url) to be able to load a dataset from a local folder.
I have everything into a folder, into a train folder and then the audios and csv. When I try to load the dataset and run from term... | 16 | Seems to freeze when loading audio dataset with wav files from local folder
### Describe the bug
I'm following the instructions in [https://huggingface.co/docs/datasets/audio_load#audiofolder-with-metadata](url) to be able to load a dataset from a local folder.
I have everything into a folder, into a train folder... | [
-0.2629055082798004,
0.10347312688827515,
0.021053973585367203,
0.4765244126319885,
0.35713374614715576,
-0.021749671548604965,
0.183725506067276,
0.04563445597887039,
0.1167951375246048,
0.2796195149421692,
-0.10358839482069016,
0.23945391178131104,
-0.15856076776981354,
-0.16788451373577... |
https://github.com/huggingface/datasets/issues/5222 | HuggingFace website is incorrectly reporting that my datasets are pickled | Yes I think I know what is happening. We check in zips for pickles, and the UI must display the pickle jar when a scan has an associated list of imports, even when empty.
~I'll fix ASAP !~ | ### Describe the bug
HuggingFace is incorrectly reporting that my datasets are pickled. They are not picked, they are simple ZIP files containing PNG images.
Hopefully this is the right location to report this bug.
### Steps to reproduce the bug
Inspect my dataset respository here: https://huggingface.co/datasets... | 38 | HuggingFace website is incorrectly reporting that my datasets are pickled
### Describe the bug
HuggingFace is incorrectly reporting that my datasets are pickled. They are not picked, they are simple ZIP files containing PNG images.
Hopefully this is the right location to report this bug.
### Steps to reproduce t... | [
0.24577198922634125,
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0.004416745156049728,
0.4546816945075989,
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0.515443325042... |
https://github.com/huggingface/datasets/issues/5222 | HuggingFace website is incorrectly reporting that my datasets are pickled | > I'll fix ASAP !
Actually I'd rather leave it like that for now, as it indicates that we checked for pickles and nothing dangerous appeared :) | ### Describe the bug
HuggingFace is incorrectly reporting that my datasets are pickled. They are not picked, they are simple ZIP files containing PNG images.
Hopefully this is the right location to report this bug.
### Steps to reproduce the bug
Inspect my dataset respository here: https://huggingface.co/datasets... | 27 | HuggingFace website is incorrectly reporting that my datasets are pickled
### Describe the bug
HuggingFace is incorrectly reporting that my datasets are pickled. They are not picked, they are simple ZIP files containing PNG images.
Hopefully this is the right location to report this bug.
### Steps to reproduce t... | [
0.2301916629076004,
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0.4696224331855774,
0.12588848173618317,
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0.16773495078086853,
0.019189760088920593,
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0.2085421085357666,
0.10540661215782166,
0.4479157328605... |
https://github.com/huggingface/datasets/issues/5221 | Cannot push | Did you run `huggingface-cli lfs-enable-largefiles` before committing or before adding ? Maybe you can try before adding
Anyway I'd encourage you to split your data into several TAR archives if possible, this way the dataset can loaded faster using multiprocessing (by giving each process a subset of shards to proces... | ### Describe the bug
I am facing the issue when I try to push the tar.gz file around 11G to HUB.
```
(venv) ββlaptop@laptop ~/PersonalProjects/data/ulaanbal_v0 βΉmainββΊ
β°β$ du -sh *
4.0K README.md
13G data
516K test.jsonl
18M train.jsonl
4.0K ulaanbal_v0.py
11G ulaanbal_v0.tar.gz
452K validation.jsonl... | 50 | Cannot push
### Describe the bug
I am facing the issue when I try to push the tar.gz file around 11G to HUB.
```
(venv) ββlaptop@laptop ~/PersonalProjects/data/ulaanbal_v0 βΉmainββΊ
β°β$ du -sh *
4.0K README.md
13G data
516K test.jsonl
18M train.jsonl
4.0K ulaanbal_v0.py
11G ulaanbal_v0.tar.gz
452K v... | [
-0.10162360221147537,
-0.9307464361190796,
0.07016012072563171,
0.3471810817718506,
0.09707319736480713,
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0.42948007583618164,
0.3205433189868927,
0.23150596022605896,
-0.15171915292739868,
0.004319450352340937,
0.009374620392918587,
0.109858326... |
https://github.com/huggingface/datasets/issues/5221 | Cannot push | @lhoestq
Thanks for the help!
> Maybe you can try before adding
It did not help
But I totally got your point about split into multiple TAR archives. It really helped! | ### Describe the bug
I am facing the issue when I try to push the tar.gz file around 11G to HUB.
```
(venv) ββlaptop@laptop ~/PersonalProjects/data/ulaanbal_v0 βΉmainββΊ
β°β$ du -sh *
4.0K README.md
13G data
516K test.jsonl
18M train.jsonl
4.0K ulaanbal_v0.py
11G ulaanbal_v0.tar.gz
452K validation.jsonl... | 31 | Cannot push
### Describe the bug
I am facing the issue when I try to push the tar.gz file around 11G to HUB.
```
(venv) ββlaptop@laptop ~/PersonalProjects/data/ulaanbal_v0 βΉmainββΊ
β°β$ du -sh *
4.0K README.md
13G data
516K test.jsonl
18M train.jsonl
4.0K ulaanbal_v0.py
11G ulaanbal_v0.tar.gz
452K v... | [
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0.4183835983276367,
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0.18974149227142334,
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0.028042538091540337,
0.023492539301514626,
0.11179511994123... |
https://github.com/huggingface/datasets/issues/5220 | Implicit type conversion of lists in to_pandas | I think this behavior comes from PyArrow:
```python
import pyarrow as pa
t = pa.table({"a": [[0]]})
t.to_pandas().a.values[0]
# array([0])
```
I believe this has to do with zero-copy: you can get a pandas DataFrame without copying the buffers from arrow, and therefore end up with numpy arrays. | ### Describe the bug
```
ds = Dataset.from_list([{'a':[1,2,3]}])
ds.to_pandas().a.values[0]
```
Results in `array([1, 2, 3])` -- a rather unexpected conversion of types which made downstream tools expecting lists not happy.
### Steps to reproduce the bug
See snippet
### Expected behavior
Keep the original typ... | 47 | Implicit type conversion of lists in to_pandas
### Describe the bug
```
ds = Dataset.from_list([{'a':[1,2,3]}])
ds.to_pandas().a.values[0]
```
Results in `array([1, 2, 3])` -- a rather unexpected conversion of types which made downstream tools expecting lists not happy.
### Steps to reproduce the bug
See snip... | [
0.09619922935962677,
-0.10553941875696182,
-0.03811023384332657,
0.26839232444763184,
0.6428859233856201,
-0.03323277831077576,
0.5278578996658325,
0.3321702778339386,
0.12758947908878326,
0.10648103058338165,
-0.28255370259284973,
0.9053609371185303,
-0.03405686840415001,
-0.0698147118091... |
https://github.com/huggingface/datasets/issues/5219 | Delta Tables usage using Datasets Library | Hi ! Interesting :) Can you provide concrete examples of cases where it can be useful ? | ### Feature request
Adding compatibility of Datasets library with Delta Format. Elevating the utilities of Datasets library from Machine Learning Scope to Data Engineering Scope as well.
### Motivation
We know datasets library can absorb csv, json, parquet, etc. file formats but it would be great if Datasets library... | 17 | Delta Tables usage using Datasets Library
### Feature request
Adding compatibility of Datasets library with Delta Format. Elevating the utilities of Datasets library from Machine Learning Scope to Data Engineering Scope as well.
### Motivation
We know datasets library can absorb csv, json, parquet, etc. file forma... | [
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0.10097001492977142,
-0.203427255153656,
0.0028521083295345306,
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0.029697321355342865,
0.45847442746162415,
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-0.07418698072433472,
0.3976258635520935,
-0.007850407622754574,
0.80620956... |
https://github.com/huggingface/datasets/issues/5219 | Delta Tables usage using Datasets Library | Few example blogs and posts that might help on this -
1. https://hevodata.com/learn/databricks-delta-tables/
2. https://docs.databricks.com/delta/index.html
Basically, we are looking at utility of Datasets library with Delta Lake Tables.
| ### Feature request
Adding compatibility of Datasets library with Delta Format. Elevating the utilities of Datasets library from Machine Learning Scope to Data Engineering Scope as well.
### Motivation
We know datasets library can absorb csv, json, parquet, etc. file formats but it would be great if Datasets library... | 28 | Delta Tables usage using Datasets Library
### Feature request
Adding compatibility of Datasets library with Delta Format. Elevating the utilities of Datasets library from Machine Learning Scope to Data Engineering Scope as well.
### Motivation
We know datasets library can absorb csv, json, parquet, etc. file forma... | [
-0.31495746970176697,
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-0.22533218562602997,
0.006962049752473831,
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0.42923441529273987,
-0.06247050315141678,
0.795478... |
https://github.com/huggingface/datasets/issues/5219 | Delta Tables usage using Datasets Library | `datasets` can already read/write from parquet from/to a cloud storage using fsspec, if I understand correctly it's should be possible to load parquet files as delat lake tables no ? :) Or is there someting missing ? | ### Feature request
Adding compatibility of Datasets library with Delta Format. Elevating the utilities of Datasets library from Machine Learning Scope to Data Engineering Scope as well.
### Motivation
We know datasets library can absorb csv, json, parquet, etc. file formats but it would be great if Datasets library... | 37 | Delta Tables usage using Datasets Library
### Feature request
Adding compatibility of Datasets library with Delta Format. Elevating the utilities of Datasets library from Machine Learning Scope to Data Engineering Scope as well.
### Motivation
We know datasets library can absorb csv, json, parquet, etc. file forma... | [
-0.287720650434494,
0.11521849036216736,
-0.1603473573923111,
0.09823311865329742,
-0.1215546727180481,
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0.3219272494316101,
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-0.17095784842967987,
-0.10061284154653549,
0.4309425354003906,
0.012937921099364758,
0.97444826364... |
https://github.com/huggingface/datasets/issues/5219 | Delta Tables usage using Datasets Library | @lhoestq Per my understanding, delta lake table is a bunch of paruqet files together with the meta to support ACID. For example file 1 contains v0.1 of record A while file 2 contains v0.2 of record A. I am assuming the Hugging face dataset would delegate the read/write delta table to 3rd party lib, maybe pyarrow. Corre... | ### Feature request
Adding compatibility of Datasets library with Delta Format. Elevating the utilities of Datasets library from Machine Learning Scope to Data Engineering Scope as well.
### Motivation
We know datasets library can absorb csv, json, parquet, etc. file formats but it would be great if Datasets library... | 119 | Delta Tables usage using Datasets Library
### Feature request
Adding compatibility of Datasets library with Delta Format. Elevating the utilities of Datasets library from Machine Learning Scope to Data Engineering Scope as well.
### Motivation
We know datasets library can absorb csv, json, parquet, etc. file forma... | [
-0.23486283421516418,
-0.0900319516658783,
-0.18897388875484467,
-0.020125918090343475,
-0.12479960918426514,
0.000786125659942627,
0.011981137096881866,
0.3131665289402008,
0.14887908101081848,
-0.11311180889606476,
-0.4643293619155884,
0.15908630192279816,
-0.09444589912891388,
0.9067283... |
https://github.com/huggingface/datasets/issues/5216 | save_elasticsearch_index | Hi ! I think there exist tools to dump and reload an index in your elastic search but I'm not super familiar with it.
Anyway after reloading an index in elastic search you can call `ds.load_elasticsearch_index` which will connect the index to the dataset without re-indexing | Hi,
I am new to Dataset and elasticsearch. I was wondering is there any equivalent approach to save elasticsearch index as of save_faiss_index locally for later use, to remove the need to re-index a dataset? | 46 | save_elasticsearch_index
Hi,
I am new to Dataset and elasticsearch. I was wondering is there any equivalent approach to save elasticsearch index as of save_faiss_index locally for later use, to remove the need to re-index a dataset?
Hi ! I think there exist tools to dump and reload an index in your elastic searc... | [
-0.3126525282859802,
0.08542495965957642,
-0.13094547390937805,
-0.20340560376644135,
-0.025347881019115448,
0.17300790548324585,
-0.008005406707525253,
0.060218445956707,
0.19149041175842285,
0.11311455816030502,
-0.18879735469818115,
0.2743854522705078,
-0.18777625262737274,
0.1266536563... |
https://github.com/huggingface/datasets/issues/5209 | Implement ability to define splits in metadata section of dataset card | @merveenoyan Do you want different files to be splits or configurations?
From [what you specified in `Readme.md`](https://huggingface.co/datasets/inria-soda/tabular-benchmark/commit/fb4575853772c62a20203bdd6cc0202f5db4ce4e) I hypothesize that you want to have 4 **configs** corresponding to directories: `"clf_cat", "... | ### Feature request
If you go here: https://huggingface.co/datasets/inria-soda/tabular-benchmark/tree/main you will see bunch of folders that has various CSV files. Iβd like dataset viewer to show these files instead of only one dataset like it currently does. (and also people to be able to load them as splits inste... | 151 | Implement ability to define splits in metadata section of dataset card
### Feature request
If you go here: https://huggingface.co/datasets/inria-soda/tabular-benchmark/tree/main you will see bunch of folders that has various CSV files. Iβd like dataset viewer to show these files instead of only one dataset like it... | [
-0.398896723985672,
-0.13762876391410828,
-0.06824913620948792,
0.47537535429000854,
0.026630422100424767,
0.029573827981948853,
0.19914481043815613,
0.3708552420139313,
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0.2198977768421173,
-0.21763905882835388,
0.4960329234600067,
-0.2460867017507553,
0.430427849292... |
https://github.com/huggingface/datasets/issues/5209 | Implement ability to define splits in metadata section of dataset card | @polinaeterna I want the latter where you can think of every CSV file as a config, like MNLI from GLUE. | ### Feature request
If you go here: https://huggingface.co/datasets/inria-soda/tabular-benchmark/tree/main you will see bunch of folders that has various CSV files. Iβd like dataset viewer to show these files instead of only one dataset like it currently does. (and also people to be able to load them as splits inste... | 20 | Implement ability to define splits in metadata section of dataset card
### Feature request
If you go here: https://huggingface.co/datasets/inria-soda/tabular-benchmark/tree/main you will see bunch of folders that has various CSV files. Iβd like dataset viewer to show these files instead of only one dataset like it... | [
-0.4106021523475647,
-0.13984724879264832,
-0.08949340879917145,
0.42115819454193115,
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0.3020617663860321,
0.31311437487602234,
0.037682924419641495,
0.34368205070495605,
-0.10765905678272247,
0.42491284012794495,
-0.24779202044010162,
0.4960708... |
https://github.com/huggingface/datasets/issues/5209 | Implement ability to define splits in metadata section of dataset card | @merveenoyan @lhoestq I see two solutions to this case.
1. Parse configurations automatically from directories names. That is, if you have data structure like:
```
tabular-benchmark
ββclf_cat_compass
ββcompass.csv
ββclf_cat_cat_covertype
ββcovertype.csv
...
ββreg_cat_house_sales
ββh... | ### Feature request
If you go here: https://huggingface.co/datasets/inria-soda/tabular-benchmark/tree/main you will see bunch of folders that has various CSV files. Iβd like dataset viewer to show these files instead of only one dataset like it currently does. (and also people to be able to load them as splits inste... | 332 | Implement ability to define splits in metadata section of dataset card
### Feature request
If you go here: https://huggingface.co/datasets/inria-soda/tabular-benchmark/tree/main you will see bunch of folders that has various CSV files. Iβd like dataset viewer to show these files instead of only one dataset like it... | [
-0.4324958026409149,
-0.07860997319221497,
-0.015676330775022507,
0.4284723401069641,
0.06629334390163422,
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0.15924866497516632,
0.37930938601493835,
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0.2289992868900299,
-0.26028817892074585,
0.4481099545955658,
-0.25781920552253723,
0.4451782703... |
https://github.com/huggingface/datasets/issues/5209 | Implement ability to define splits in metadata section of dataset card | > We can add new metadata yaml field (say, "custom_configs_info"), so that we can provide smth like:
Love it ! Some other ideas to name the "custom_configs_info" field: "configs", "parameters", "config_args", "configurations"
> it might require changes in interaction with the viewer on the hub side - to parse the... | ### Feature request
If you go here: https://huggingface.co/datasets/inria-soda/tabular-benchmark/tree/main you will see bunch of folders that has various CSV files. Iβd like dataset viewer to show these files instead of only one dataset like it currently does. (and also people to be able to load them as splits inste... | 192 | Implement ability to define splits in metadata section of dataset card
### Feature request
If you go here: https://huggingface.co/datasets/inria-soda/tabular-benchmark/tree/main you will see bunch of folders that has various CSV files. Iβd like dataset viewer to show these files instead of only one dataset like it... | [
-0.34156593680381775,
-0.06827230751514435,
-0.008094727993011475,
0.37372440099716187,
0.01831519417464733,
0.05106843262910843,
0.31308820843696594,
0.41592153906822205,
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0.20760396122932434,
-0.1447383463382721,
0.5455384254455566,
-0.2848860025405884,
0.4008288085... |
https://github.com/huggingface/datasets/issues/5209 | Implement ability to define splits in metadata section of dataset card | @merveenoyan I haven't started working on this yet, working on adding configs to packaged datasets instead: https://github.com/huggingface/datasets/pull/5213 because this both would allow you to solve your issue and is a frequently requested feature.
adding arbitrary parameters to yaml would be my next task i think! | ### Feature request
If you go here: https://huggingface.co/datasets/inria-soda/tabular-benchmark/tree/main you will see bunch of folders that has various CSV files. Iβd like dataset viewer to show these files instead of only one dataset like it currently does. (and also people to be able to load them as splits inste... | 45 | Implement ability to define splits in metadata section of dataset card
### Feature request
If you go here: https://huggingface.co/datasets/inria-soda/tabular-benchmark/tree/main you will see bunch of folders that has various CSV files. Iβd like dataset viewer to show these files instead of only one dataset like it... | [
-0.39448297023773193,
-0.18607129156589508,
-0.04323725402355194,
0.42159366607666016,
0.06657853722572327,
0.06510984152555466,
0.2419113963842392,
0.3723747432231903,
-0.015628527849912643,
0.2868580222129822,
-0.21170249581336975,
0.4980264902114868,
-0.2477678805589676,
0.5033591389656... |
https://github.com/huggingface/datasets/issues/5207 | Connection error of the HuggingFace's dataset Hub due to SSLError with proxy | Hi ! It looks like an issue with your python environment, can you make sure you're able to run GET requests to https://huggingface.co using `requests` in python ? | ### Describe the bug
It's weird. I could not normally connect the dataset Hub of HuggingFace due to a SSLError in my office.
Even when I try to connect using my company's proxy address (e.g., http_proxy and https_proxy),
I'm getting the SSLError issue. What should I do to download the datanet stored in Hugg... | 28 | Connection error of the HuggingFace's dataset Hub due to SSLError with proxy
### Describe the bug
It's weird. I could not normally connect the dataset Hub of HuggingFace due to a SSLError in my office.
Even when I try to connect using my company's proxy address (e.g., http_proxy and https_proxy),
I'm getti... | [
-0.14723144471645355,
-0.6202120780944824,
0.15596646070480347,
0.2921134829521179,
0.23332634568214417,
0.03357610106468201,
0.030864188447594643,
0.03931799903512001,
0.0543687529861927,
-0.02099071443080902,
-0.2828214764595032,
0.024993881583213806,
0.12445127218961716,
0.2257943898439... |
https://github.com/huggingface/datasets/issues/5207 | Connection error of the HuggingFace's dataset Hub due to SSLError with proxy | Thanks for your reply. Does this mean that I have to use the `do_dataset `function and the `requests `function to download the dataset from the company's proxy environment?
* Reference:
```bash
### How to load this dataset directly with the [datasets](https://github.com/huggingface/datasets) library
* http... | ### Describe the bug
It's weird. I could not normally connect the dataset Hub of HuggingFace due to a SSLError in my office.
Even when I try to connect using my company's proxy address (e.g., http_proxy and https_proxy),
I'm getting the SSLError issue. What should I do to download the datanet stored in Hugg... | 90 | Connection error of the HuggingFace's dataset Hub due to SSLError with proxy
### Describe the bug
It's weird. I could not normally connect the dataset Hub of HuggingFace due to a SSLError in my office.
Even when I try to connect using my company's proxy address (e.g., http_proxy and https_proxy),
I'm getti... | [
-0.14723144471645355,
-0.6202120780944824,
0.15596646070480347,
0.2921134829521179,
0.23332634568214417,
0.03357610106468201,
0.030864188447594643,
0.03931799903512001,
0.0543687529861927,
-0.02099071443080902,
-0.2828214764595032,
0.024993881583213806,
0.12445127218961716,
0.2257943898439... |
https://github.com/huggingface/datasets/issues/5207 | Connection error of the HuggingFace's dataset Hub due to SSLError with proxy | You can use `requests` to see if downloading a file from the Hugging Face Hub works. If so, then `datasets` should work as well. If not, then you have to find another way using an internet connection that works | ### Describe the bug
It's weird. I could not normally connect the dataset Hub of HuggingFace due to a SSLError in my office.
Even when I try to connect using my company's proxy address (e.g., http_proxy and https_proxy),
I'm getting the SSLError issue. What should I do to download the datanet stored in Hugg... | 39 | Connection error of the HuggingFace's dataset Hub due to SSLError with proxy
### Describe the bug
It's weird. I could not normally connect the dataset Hub of HuggingFace due to a SSLError in my office.
Even when I try to connect using my company's proxy address (e.g., http_proxy and https_proxy),
I'm getti... | [
-0.14723144471645355,
-0.6202120780944824,
0.15596646070480347,
0.2921134829521179,
0.23332634568214417,
0.03357610106468201,
0.030864188447594643,
0.03931799903512001,
0.0543687529861927,
-0.02099071443080902,
-0.2828214764595032,
0.024993881583213806,
0.12445127218961716,
0.2257943898439... |
https://github.com/huggingface/datasets/issues/5207 | Connection error of the HuggingFace's dataset Hub due to SSLError with proxy | I resolved this issue by applying to "unblock websites" at https://huggingface.com in a corporate network environment with a firewall.
| ### Describe the bug
It's weird. I could not normally connect the dataset Hub of HuggingFace due to a SSLError in my office.
Even when I try to connect using my company's proxy address (e.g., http_proxy and https_proxy),
I'm getting the SSLError issue. What should I do to download the datanet stored in Hugg... | 19 | Connection error of the HuggingFace's dataset Hub due to SSLError with proxy
### Describe the bug
It's weird. I could not normally connect the dataset Hub of HuggingFace due to a SSLError in my office.
Even when I try to connect using my company's proxy address (e.g., http_proxy and https_proxy),
I'm getti... | [
-0.14723144471645355,
-0.6202120780944824,
0.15596646070480347,
0.2921134829521179,
0.23332634568214417,
0.03357610106468201,
0.030864188447594643,
0.03931799903512001,
0.0543687529861927,
-0.02099071443080902,
-0.2828214764595032,
0.024993881583213806,
0.12445127218961716,
0.2257943898439... |
https://github.com/huggingface/datasets/issues/5207 | Connection error of the HuggingFace's dataset Hub due to SSLError with proxy | > Hi ! It looks like an issue with your python environment, can you make sure you're able to run GET requests to https://huggingface.co using `requests` in python ?
yesοΌbut still not work
,
I'm getting the SSLError issue. What should I do to download the datanet stored in Hugg... | 35 | Connection error of the HuggingFace's dataset Hub due to SSLError with proxy
### Describe the bug
It's weird. I could not normally connect the dataset Hub of HuggingFace due to a SSLError in my office.
Even when I try to connect using my company's proxy address (e.g., http_proxy and https_proxy),
I'm getti... | [
-0.14723144471645355,
-0.6202120780944824,
0.15596646070480347,
0.2921134829521179,
0.23332634568214417,
0.03357610106468201,
0.030864188447594643,
0.03931799903512001,
0.0543687529861927,
-0.02099071443080902,
-0.2828214764595032,
0.024993881583213806,
0.12445127218961716,
0.2257943898439... |
https://github.com/huggingface/datasets/issues/5207 | Connection error of the HuggingFace's dataset Hub due to SSLError with proxy | I read https://github.com/huggingface/datasets/blob/main/src/datasets/load.py, it fail when get the dataset metadata, so download_config has not worked.
```python
hf_api = HfApi(config.HF_ENDPOINT)
try:
dataset_info = hf_api.dataset_info(
repo_id=path,
... | ### Describe the bug
It's weird. I could not normally connect the dataset Hub of HuggingFace due to a SSLError in my office.
Even when I try to connect using my company's proxy address (e.g., http_proxy and https_proxy),
I'm getting the SSLError issue. What should I do to download the datanet stored in Hugg... | 95 | Connection error of the HuggingFace's dataset Hub due to SSLError with proxy
### Describe the bug
It's weird. I could not normally connect the dataset Hub of HuggingFace due to a SSLError in my office.
Even when I try to connect using my company's proxy address (e.g., http_proxy and https_proxy),
I'm getti... | [
-0.14723144471645355,
-0.6202120780944824,
0.15596646070480347,
0.2921134829521179,
0.23332634568214417,
0.03357610106468201,
0.030864188447594643,
0.03931799903512001,
0.0543687529861927,
-0.02099071443080902,
-0.2828214764595032,
0.024993881583213806,
0.12445127218961716,
0.2257943898439... |
https://github.com/huggingface/datasets/issues/5207 | Connection error of the HuggingFace's dataset Hub due to SSLError with proxy | Even tough it does not look like a certificate error in the error message, I had the same error and adding following lines to my code solved my problem.
import os
os.environ['CURL_CA_BUNDLE'] = '' | ### Describe the bug
It's weird. I could not normally connect the dataset Hub of HuggingFace due to a SSLError in my office.
Even when I try to connect using my company's proxy address (e.g., http_proxy and https_proxy),
I'm getting the SSLError issue. What should I do to download the datanet stored in Hugg... | 34 | Connection error of the HuggingFace's dataset Hub due to SSLError with proxy
### Describe the bug
It's weird. I could not normally connect the dataset Hub of HuggingFace due to a SSLError in my office.
Even when I try to connect using my company's proxy address (e.g., http_proxy and https_proxy),
I'm getti... | [
-0.14723144471645355,
-0.6202120780944824,
0.15596646070480347,
0.2921134829521179,
0.23332634568214417,
0.03357610106468201,
0.030864188447594643,
0.03931799903512001,
0.0543687529861927,
-0.02099071443080902,
-0.2828214764595032,
0.024993881583213806,
0.12445127218961716,
0.2257943898439... |
https://github.com/huggingface/datasets/issues/5207 | Connection error of the HuggingFace's dataset Hub due to SSLError with proxy | > Even tough it does not look like a certificate error in the error message, I had the same error and adding following lines to my code solved my problem.
>
> import os os.environ['CURL_CA_BUNDLE'] = ''
Worked for as well!
I faced the issue while submitting jobs through SLURM. | ### Describe the bug
It's weird. I could not normally connect the dataset Hub of HuggingFace due to a SSLError in my office.
Even when I try to connect using my company's proxy address (e.g., http_proxy and https_proxy),
I'm getting the SSLError issue. What should I do to download the datanet stored in Hugg... | 50 | Connection error of the HuggingFace's dataset Hub due to SSLError with proxy
### Describe the bug
It's weird. I could not normally connect the dataset Hub of HuggingFace due to a SSLError in my office.
Even when I try to connect using my company's proxy address (e.g., http_proxy and https_proxy),
I'm getti... | [
-0.14723144471645355,
-0.6202120780944824,
0.15596646070480347,
0.2921134829521179,
0.23332634568214417,
0.03357610106468201,
0.030864188447594643,
0.03931799903512001,
0.0543687529861927,
-0.02099071443080902,
-0.2828214764595032,
0.024993881583213806,
0.12445127218961716,
0.2257943898439... |
https://github.com/huggingface/datasets/issues/5207 | Connection error of the HuggingFace's dataset Hub due to SSLError with proxy | > Even tough it does not look like a certificate error in the error message, I had the same error and adding following lines to my code solved my problem.
>
> import os os.environ['CURL_CA_BUNDLE'] = ''
doesn't work , what does this code mean? | ### Describe the bug
It's weird. I could not normally connect the dataset Hub of HuggingFace due to a SSLError in my office.
Even when I try to connect using my company's proxy address (e.g., http_proxy and https_proxy),
I'm getting the SSLError issue. What should I do to download the datanet stored in Hugg... | 45 | Connection error of the HuggingFace's dataset Hub due to SSLError with proxy
### Describe the bug
It's weird. I could not normally connect the dataset Hub of HuggingFace due to a SSLError in my office.
Even when I try to connect using my company's proxy address (e.g., http_proxy and https_proxy),
I'm getti... | [
-0.14723144471645355,
-0.6202120780944824,
0.15596646070480347,
0.2921134829521179,
0.23332634568214417,
0.03357610106468201,
0.030864188447594643,
0.03931799903512001,
0.0543687529861927,
-0.02099071443080902,
-0.2828214764595032,
0.024993881583213806,
0.12445127218961716,
0.2257943898439... |
https://github.com/huggingface/datasets/issues/5206 | Use logging instead of printing to console | Actually upon closer inspection, it is documented in the code that this behavior is intentional, so I'll close this. | ### Describe the bug
Some logs ([here](https://github.com/huggingface/datasets/blob/4a6e1fe2735505efc7e3a3dbd3e1835da0702575/src/datasets/builder.py#L778), [here](https://github.com/huggingface/datasets/blob/4a6e1fe2735505efc7e3a3dbd3e1835da0702575/src/datasets/builder.py#L786), and [here](https://github.com/huggingfa... | 19 | Use logging instead of printing to console
### Describe the bug
Some logs ([here](https://github.com/huggingface/datasets/blob/4a6e1fe2735505efc7e3a3dbd3e1835da0702575/src/datasets/builder.py#L778), [here](https://github.com/huggingface/datasets/blob/4a6e1fe2735505efc7e3a3dbd3e1835da0702575/src/datasets/builder.py#L... | [
-0.22037024796009064,
-0.0715421736240387,
-0.01471294742077589,
0.2367028146982193,
0.3985136151313782,
-0.0016842260956764221,
0.34137091040611267,
0.17127801477909088,
-0.14350908994674683,
0.20918235182762146,
-0.17210516333580017,
0.4643227458000183,
-0.031097572296857834,
0.181394115... |
https://github.com/huggingface/datasets/issues/5200 | Some links to canonical datasets in the docs are outdated | Thanks for catching this, I can go through the docs and replace the links to their corresponding datasets on the Hub! | As we don't have canonical datasets in the github repo anymore, some old links to them doesn't work. I don't know how many of them are there, I found link to SuperGlue here: https://huggingface.co/docs/datasets/dataset_script#multiple-configurations, probably there are more of them. These links should be replaced by li... | 21 | Some links to canonical datasets in the docs are outdated
As we don't have canonical datasets in the github repo anymore, some old links to them doesn't work. I don't know how many of them are there, I found link to SuperGlue here: https://huggingface.co/docs/datasets/dataset_script#multiple-configurations, probably ... | [
-0.20610739290714264,
-0.39816972613334656,
-0.03152815252542496,
0.03482801094651222,
0.1892785131931305,
0.05422564595937729,
0.19069664180278778,
0.26958128809928894,
0.16223670542240143,
0.20953169465065002,
-0.06526680290699005,
0.10560373961925507,
0.11216770857572556,
0.394226044416... |
https://github.com/huggingface/datasets/issues/5193 | "One or several metadata. were found, but not in the same directory or in a parent directory" | Also unrelated but still: https://huggingface.co/docs/datasets/image_dataset#generate-the-dataset
```If your loading script passed the test, you should now have a dataset_infos.json file in your dataset folder.```
It's not the case anymore as it's now in the readme.md, it was confusing to me | ### Describe the bug
When loading my own dataset, on loading it I get an error.
Here is my dataset link: https://huggingface.co/datasets/corentinm7/MyoQuant-SDH-Data
And the error after loading with:
```python
from datasets import load_dataset
load_dataset("corentinm7/MyoQuant-SDH-Data")
```
```python
Downlo... | 39 | "One or several metadata. were found, but not in the same directory or in a parent directory"
### Describe the bug
When loading my own dataset, on loading it I get an error.
Here is my dataset link: https://huggingface.co/datasets/corentinm7/MyoQuant-SDH-Data
And the error after loading with:
```python
from data... | [
-0.049437422305345535,
-0.29675090312957764,
-0.03884405270218849,
0.658144474029541,
0.2890504002571106,
0.1597776710987091,
0.15112602710723877,
0.10816425085067749,
0.11462840437889099,
0.10452208667993546,
-0.3471991717815399,
0.045720912516117096,
-0.1935093253850937,
-0.1349631100893... |
https://github.com/huggingface/datasets/issues/5193 | "One or several metadata. were found, but not in the same directory or in a parent directory" | And here is my data loader script: https://huggingface.co/datasets/corentinm7/MyoQuant-SDH-Data/blob/main/SDH_16k.py
I have one file archive to download that contains the images for all splits and one `metadata.jsonl` to download that contains the informations about what image goes into what split. | ### Describe the bug
When loading my own dataset, on loading it I get an error.
Here is my dataset link: https://huggingface.co/datasets/corentinm7/MyoQuant-SDH-Data
And the error after loading with:
```python
from datasets import load_dataset
load_dataset("corentinm7/MyoQuant-SDH-Data")
```
```python
Downlo... | 38 | "One or several metadata. were found, but not in the same directory or in a parent directory"
### Describe the bug
When loading my own dataset, on loading it I get an error.
Here is my dataset link: https://huggingface.co/datasets/corentinm7/MyoQuant-SDH-Data
And the error after loading with:
```python
from data... | [
-0.049437422305345535,
-0.29675090312957764,
-0.03884405270218849,
0.658144474029541,
0.2890504002571106,
0.1597776710987091,
0.15112602710723877,
0.10816425085067749,
0.11462840437889099,
0.10452208667993546,
-0.3471991717815399,
0.045720912516117096,
-0.1935093253850937,
-0.1349631100893... |
https://github.com/huggingface/datasets/issues/5193 | "One or several metadata. were found, but not in the same directory or in a parent directory" | Hi @lambda-science! It seems that your repo is recognized as a packaged module [ImageFolder](https://huggingface.co/docs/datasets/main/en/image_dataset#imagefolder), not as a dataset with the custom loading script, because loader looks for a script that has the same name as the dataset repo. So please try to rename you... | ### Describe the bug
When loading my own dataset, on loading it I get an error.
Here is my dataset link: https://huggingface.co/datasets/corentinm7/MyoQuant-SDH-Data
And the error after loading with:
```python
from datasets import load_dataset
load_dataset("corentinm7/MyoQuant-SDH-Data")
```
```python
Downlo... | 50 | "One or several metadata. were found, but not in the same directory or in a parent directory"
### Describe the bug
When loading my own dataset, on loading it I get an error.
Here is my dataset link: https://huggingface.co/datasets/corentinm7/MyoQuant-SDH-Data
And the error after loading with:
```python
from data... | [
-0.049437422305345535,
-0.29675090312957764,
-0.03884405270218849,
0.658144474029541,
0.2890504002571106,
0.1597776710987091,
0.15112602710723877,
0.10816425085067749,
0.11462840437889099,
0.10452208667993546,
-0.3471991717815399,
0.045720912516117096,
-0.1935093253850937,
-0.1349631100893... |
https://github.com/huggingface/datasets/issues/5193 | "One or several metadata. were found, but not in the same directory or in a parent directory" | > Hi @lambda-science! It seems that your repo is recognized as a packaged module [ImageFolder](https://huggingface.co/docs/datasets/main/en/image_dataset#imagefolder), not as a dataset with the custom loading script, because loader looks for a script that has the same name as the dataset repo. So please try to rename y... | ### Describe the bug
When loading my own dataset, on loading it I get an error.
Here is my dataset link: https://huggingface.co/datasets/corentinm7/MyoQuant-SDH-Data
And the error after loading with:
```python
from datasets import load_dataset
load_dataset("corentinm7/MyoQuant-SDH-Data")
```
```python
Downlo... | 77 | "One or several metadata. were found, but not in the same directory or in a parent directory"
### Describe the bug
When loading my own dataset, on loading it I get an error.
Here is my dataset link: https://huggingface.co/datasets/corentinm7/MyoQuant-SDH-Data
And the error after loading with:
```python
from data... | [
-0.049437422305345535,
-0.29675090312957764,
-0.03884405270218849,
0.658144474029541,
0.2890504002571106,
0.1597776710987091,
0.15112602710723877,
0.10816425085067749,
0.11462840437889099,
0.10452208667993546,
-0.3471991717815399,
0.045720912516117096,
-0.1935093253850937,
-0.1349631100893... |
https://github.com/huggingface/datasets/issues/5193 | "One or several metadata. were found, but not in the same directory or in a parent directory" | @lambda-science that's not embarrassing at all! it's actually not clear from the documentation that the script should have the same name, so thank you for the issue, we'll add this information to the docs :) | ### Describe the bug
When loading my own dataset, on loading it I get an error.
Here is my dataset link: https://huggingface.co/datasets/corentinm7/MyoQuant-SDH-Data
And the error after loading with:
```python
from datasets import load_dataset
load_dataset("corentinm7/MyoQuant-SDH-Data")
```
```python
Downlo... | 35 | "One or several metadata. were found, but not in the same directory or in a parent directory"
### Describe the bug
When loading my own dataset, on loading it I get an error.
Here is my dataset link: https://huggingface.co/datasets/corentinm7/MyoQuant-SDH-Data
And the error after loading with:
```python
from data... | [
-0.049437422305345535,
-0.29675090312957764,
-0.03884405270218849,
0.658144474029541,
0.2890504002571106,
0.1597776710987091,
0.15112602710723877,
0.10816425085067749,
0.11462840437889099,
0.10452208667993546,
-0.3471991717815399,
0.045720912516117096,
-0.1935093253850937,
-0.1349631100893... |
https://github.com/huggingface/datasets/issues/5190 | `path` is `None` when downloading a custom audio dataset from the Hub | Hi! Yes, this is expected behavior - we do this as a security measure to not leak local paths (this info would be useless on other users' machines anyways) and only push audio bytes.
| ### Describe the bug
I've created an [audio dataset](https://huggingface.co/datasets/lewtun/audio-test-push) using the `audiofolder` feature desribed in the [docs](https://huggingface.co/docs/datasets/audio_dataset#audiofolder) and then pushed it to the Hub.
Locally, I can see the `audio.path` feature is of the ... | 34 | `path` is `None` when downloading a custom audio dataset from the Hub
### Describe the bug
I've created an [audio dataset](https://huggingface.co/datasets/lewtun/audio-test-push) using the `audiofolder` feature desribed in the [docs](https://huggingface.co/docs/datasets/audio_dataset#audiofolder) and then pushed i... | [
-0.19970372319221497,
-0.11251097917556763,
0.04908491298556328,
0.34642279148101807,
-0.015480320900678635,
-0.20128679275512695,
0.3962436318397522,
-0.1011771410703659,
-0.011149028316140175,
0.34400275349617004,
-0.21156691014766693,
0.47110897302627563,
-0.364286333322525,
0.002874916... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | I have to admit I'm not a fan of this idea, as this would result in a non-consistent behavior between tabular and non-tabular datasets, which is confusing if done without the context you provided. Instead, we could consider returning a `Dataset` object rather than `DatasetDict` if there is only one split in the generat... | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 74 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | We can brainstorm here to see how we could make it happen ? And then depending on the options we see if it's a change we can do.
I'm starting with a first reasoning
Currently not passing `split=` in `load_dataset` means "return a dict with each split".
Now what would happen if a dataset has no split ? Ideally ... | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 316 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | I like the first idea more (concatenating splits doesn't seem useful, no?). This is a significant breaking change, so I think we should do a poll (or something similar) to gather more info on the actual "expected behavior" and wait for Datasets 3.0 if we decide to implement it.
PS: @thomwolf also suggested the same ... | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 60 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | I think it's an interesting improvement to the user experience for a case that comes often (no split) so I would definitively support it.
I would be more in favor of option 2 rather than returning various types of objects from load_dataset and handling carefully the possible collisions indeed | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 49 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | Related: if a dataset only has one split, we don't show the splits select control in the dataset viewer on the Hub, eg. compare https://huggingface.co/datasets/hf-internal-testing/fixtures_image_utils/viewer/image/test with https://huggingface.co/datasets/glue/viewer/mnli/test.
See https://github.com/huggingface/mo... | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 33 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | I feel like the second idea is a bit more overkill.
@severo I would say it's a bit irrelevant to the problem we have but is a separate problem @polinaeterna is solving at the moment. π
(also discussed on slack) | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 40 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | OK, sorry for polluting the thread. The relation I saw with the dataset viewer is that from a UX point of view, we hide the concepts of split and configuration whenever possible -> this issue feels like doing the same in the datasets library. | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 44 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | I would agree that returning different types based on the content of the dataset might be confusing.
We can do something similar to what `fetch_*` or `load_*` from `sklearn.datasets` do, which is to have an arg which changes the type of the returned type. For instance, `load_iris` would return a dict, but `load_iris... | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 79 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | > I feel like the second idea is a bit more overkill.
Overkill in what sense ?
> Here we can have a similar arg such as return_X which would then only return a single DataSet or an array.
Right now one can already pass `split="all"` to get one `Dataset` object with all the data in it (unsplit). We could also h... | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 131 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | Would it make sense to remove the notion of "split" in `load_dataset`? I feel a lof of it comes from the want to have some sort of group of more or less similar dataset. "train"/"test"/"validation" are the traditional ones, but there are some datasets that have much more splits.
Would it make sense to force `load_da... | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 133 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | > Would it make sense to remove the notion of "split" in load_dataset?
I think we need to keep it - though in practice people can name the splits whatever they want anyway.
> Would it make sense to force load_dataset to only load a single Dataset object, and fail if it doesn't point to one.
We need to keep bac... | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 71 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | > I think we need to keep it - though in practice people can name the splits whatever they want anyway.
It was my understanding that the whole issue was that `load_dataset` returned multiple types of objects.
> We need to keep backward compatibility ideally - in particular the load_dataset + ds["train"] one
Ye... | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 76 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | > It was my understanding that the whole issue was that load_dataset returned multiple types of objects.
Yes indeed, but we still want to keep a way to load the train/val/test/whatever splits alone ;) | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 34 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | Started to experiment with merging Dataset and DatasetDict. My plan is to define the splits of a Dataset in Dataset.info.splits (already exists, but never used). A Dataset would then be the concatenation of its splits if they exist.
Not sure yet this is the way to go. My plan is to play with it and see and share it ... | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 75 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | So just to make sure that I understand the current direction, people will have to be extra careful when handling splits right?
Imagine "potato" a dataset containing train/validation split:
```
load_dataset("potato") # returns the concatenation of all the splits
```
Previously the design would force you to choose a... | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 141 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | > load_dataset("potato") # returns "train" split
To avoid a breaking change we need to be able to do `load_dataset("potato")["validation"]` as well.
In that case I'd wonder where the validation split comes from, since the rows of the dataset wouldn't contain the validation split according to your example. That's ... | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 103 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | Just thinking about this, we could just have `to_dataframe()` as `load_dataset("blah").to_dataframe()` to get the whole dataset, and not change anything else. | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 21 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | I have a first implementation of option 2 (merging Dataset and DatasetDict) in this PR: https://github.com/huggingface/datasets/pull/5301/
Feel free to play with it if you're interested, and let me know what you think. In this PR, a dataset is one table that optionally has some split info about subsets. | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 48 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | @adrinjalali we already have [to_pandas](https://huggingface.co/docs/datasets/package_reference/main_classes#datasets.Dataset.to_pandas) AFAIK that essentially does the same thing (for a dataset, not for a dataset dict), I was wondering if it makes sense to have this as I don't know portion of people who load non-tabul... | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 61 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | > we already have [to_pandas](https://huggingface.co/docs/datasets/package_reference/main_classes#datasets.Dataset.to_pandas) AFAIK that essentially does the same thing (for a dataset, not for a dataset dict)
yes correct :)
> I saw your PR and it will break a lot of things imo
Do you have concrete examples you... | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 108 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | @lhoestq no I think @adrinjalali and I meant when user calls `to_dataframe` if there's only train split in `DatasetDict` we could directly load that into dataframe. This might cause a confusion given there's to_pandas but I think it's more intuitive and least breaking change. (given people -who use `datasets` for tabul... | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 57 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | So in that case it would be fine to still end up with a dataset dict with a "train" split ? | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 21 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | yeah what I mean is this:
```py
dataset = load_dataset("blah")
# deal with a split of the dataset
train = dataset["train"]
train_df = dataset["train"].to_dataframe()
# deal with the whole dataset
dataset_df = dataset.to_dataframe()
```
So we do two things to improve tabular experience:
- allow dataset... | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 75 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | Ok ! Note that we already have `Dataset.to_pandas()` so for consistency I'd call it `DatasetDict.to_pandas()` as well, does it sound good to you ? This is something we can add pretty easily | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 32 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | > So just to make sure that I understand the current direction, people will have to be extra careful when handling splits right?
We can raise an error if someone does `load_dataset(...)[0]` if the dataset is made of several splits, and return the first example if there's one or zero splits (i.e. when it's not ambigu... | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 67 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | > We can raise an error if someone does load_dataset(...)[0] if the dataset is made of several splits,
But then how is that different to have the distinction between DatasetDict and Dataset then? Is it just that "default behaviour when there are no splits or single split, it returns directly the split when there's n... | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 79 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | > But then how is that different to have the distinction between DatasetDict and Dataset then?
Because it doesn't make sense to be able to do `example = ds[0]` or `examples = list(ds)` on a class named `DatasetDict` of type `Dict[str, Dataset]`.
> Also I was wondering how the concatenation could have heavy impact... | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 75 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
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0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5189 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded | > Because it doesn't make sense to be able to do example = ds[0] or examples = list(ds) on a class named DatasetDict of type Dict[str, Dataset].
Hum but you're still going to raise an exception in both those cases with your current change no? (actually list(ds) would return the name of the splits no?)
> No, we ru... | ### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchmark)
```python
from datasets import load_dataset
dataset = load_dataset("inria-soda/tabular-b... | 66 | Reduce friction in tabular dataset workflow by eliminating having splits when dataset is loaded
### Feature request
Sorry for cryptic name but I'd like to explain using code itself. When I want to load a specific dataset from a repository (for instance, this: https://huggingface.co/datasets/inria-soda/tabular-benchm... | [
-0.32695281505584717,
0.12844634056091309,
-0.03811902180314064,
-0.09596212208271027,
0.102277971804142,
-0.04733126237988472,
0.5563637018203735,
0.5483506917953491,
0.31060028076171875,
0.2789352834224701,
0.012780153192579746,
0.3642385005950928,
-0.15283487737178802,
0.463233768939971... |
https://github.com/huggingface/datasets/issues/5186 | Incorrect error message when Dataset.from_sql fails and sqlalchemy not installed | Hi! The first `Dataset.from_sql` call also outputs the "ImportError: Using URI string without sqlalchemy installed." message, but you also get "During handling of the above exception another exception occurred: ..." after which the ValueError is printed. I agree that this behavior makes it easy to miss the original err... | ### Describe the bug
When calling `Dataset.from_sql` (in my case, with sqlite3), it fails with a message ```ValueError: Please pass `features` or at least one example when writing data``` when I don't have `sqlalchemy` installed.
### Steps to reproduce the bug
Make a new sqlite db with `sqlite3` and `pandas` from... | 79 | Incorrect error message when Dataset.from_sql fails and sqlalchemy not installed
### Describe the bug
When calling `Dataset.from_sql` (in my case, with sqlite3), it fails with a message ```ValueError: Please pass `features` or at least one example when writing data``` when I don't have `sqlalchemy` installed.
##... | [
0.09885753691196442,
0.06682363152503967,
-0.027563823387026787,
0.21884435415267944,
0.16396300494670868,
0.02054183930158615,
0.1873140186071396,
0.4064783751964569,
-0.12302245199680328,
-0.11035320162773132,
0.2774016857147217,
0.42598313093185425,
0.11816241592168808,
0.11310290545225... |
https://github.com/huggingface/datasets/issues/5186 | Incorrect error message when Dataset.from_sql fails and sqlalchemy not installed | Yup ! Alternatively the error can be raised in sql.py before generating the examples ? In `_info` for example | ### Describe the bug
When calling `Dataset.from_sql` (in my case, with sqlite3), it fails with a message ```ValueError: Please pass `features` or at least one example when writing data``` when I don't have `sqlalchemy` installed.
### Steps to reproduce the bug
Make a new sqlite db with `sqlite3` and `pandas` from... | 19 | Incorrect error message when Dataset.from_sql fails and sqlalchemy not installed
### Describe the bug
When calling `Dataset.from_sql` (in my case, with sqlite3), it fails with a message ```ValueError: Please pass `features` or at least one example when writing data``` when I don't have `sqlalchemy` installed.
##... | [
0.09885753691196442,
0.06682363152503967,
-0.027563823387026787,
0.21884435415267944,
0.16396300494670868,
0.02054183930158615,
0.1873140186071396,
0.4064783751964569,
-0.12302245199680328,
-0.11035320162773132,
0.2774016857147217,
0.42598313093185425,
0.11816241592168808,
0.11310290545225... |
https://github.com/huggingface/datasets/issues/5186 | Incorrect error message when Dataset.from_sql fails and sqlalchemy not installed | yea @lhoestq that would probably be good. The 2nd error is useless if the 1st error is the real reason it failed. | ### Describe the bug
When calling `Dataset.from_sql` (in my case, with sqlite3), it fails with a message ```ValueError: Please pass `features` or at least one example when writing data``` when I don't have `sqlalchemy` installed.
### Steps to reproduce the bug
Make a new sqlite db with `sqlite3` and `pandas` from... | 22 | Incorrect error message when Dataset.from_sql fails and sqlalchemy not installed
### Describe the bug
When calling `Dataset.from_sql` (in my case, with sqlite3), it fails with a message ```ValueError: Please pass `features` or at least one example when writing data``` when I don't have `sqlalchemy` installed.
##... | [
0.09885753691196442,
0.06682363152503967,
-0.027563823387026787,
0.21884435415267944,
0.16396300494670868,
0.02054183930158615,
0.1873140186071396,
0.4064783751964569,
-0.12302245199680328,
-0.11035320162773132,
0.2774016857147217,
0.42598313093185425,
0.11816241592168808,
0.11310290545225... |
https://github.com/huggingface/datasets/issues/5182 | Add notebook / other resource links to the task-specific data loading guides | Yea this would be great! We would need an object detection tutorial notebook too if it doesn't already exist there. | Does it make sense to include links to notebooks / scripts that show how to use a dataset for training / fine-tuning a model?
For example, here in [https://huggingface.co/docs/datasets/image_classification] we could include a mention of https://github.com/huggingface/notebooks/blob/main/examples/image_classificatio... | 20 | Add notebook / other resource links to the task-specific data loading guides
Does it make sense to include links to notebooks / scripts that show how to use a dataset for training / fine-tuning a model?
For example, here in [https://huggingface.co/docs/datasets/image_classification] we could include a mention of ... | [
-0.035049811005592346,
-0.4104473292827606,
-0.056729353964328766,
0.15529143810272217,
-0.009450703859329224,
0.11067452281713486,
0.1717631071805954,
0.05668241158127785,
0.20506078004837036,
-0.12902112305164337,
-0.01886274479329586,
0.44797468185424805,
-0.2949517071247101,
0.60568004... |
https://github.com/huggingface/datasets/issues/5181 | Add a guide for semantic segmentation | I am considering `torchvision` and `albumentations`. Also [works with TensorFlow](https://github.com/deep-diver/segformer-tf-transformers/blob/main/notebooks/TFSegFormer_Finetune.ipynb).
I am assigning the issue to myself then. | Currently, we have these guides for object detection and image classification:
* https://huggingface.co/docs/datasets/object_detection
* https://huggingface.co/docs/datasets/image_classification
I am proposing adding a similar guide for semantic segmentation.
I am happy to contribute a PR for it.
Cc: @os... | 18 | Add a guide for semantic segmentation
Currently, we have these guides for object detection and image classification:
* https://huggingface.co/docs/datasets/object_detection
* https://huggingface.co/docs/datasets/image_classification
I am proposing adding a similar guide for semantic segmentation.
I am happ... | [
0.09291854500770569,
-0.3998464345932007,
-0.10316108167171478,
-0.10629729926586151,
0.11169037967920303,
-0.1163792610168457,
0.09270910918712616,
0.27990496158599854,
-0.3338601887226105,
0.09094355255365372,
-0.17643074691295624,
0.418423593044281,
-0.3714631199836731,
-0.1348321437835... |
https://github.com/huggingface/datasets/issues/5180 | An example or recommendations for creating large image datasets? | The beam utilities allow to prepare a dataset as parquet in your cloud storage. From my perspective this CLI is not super easy to use, but we've been working on a new python API to prepare a dataset in your cloud storage:
```python
from datasets import load_dataset_builder
builder = load_dataset_builder("c4", "en"... | I know that Apache Beam and `datasets` have [some connector utilities](https://huggingface.co/docs/datasets/beam). But it's a little unclear what we mean by "But if you want to run your own Beam pipeline with Dataflow, here is how:". What does that pipeline do?
As a user, I was wondering if we have this support for... | 112 | An example or recommendations for creating large image datasets?
I know that Apache Beam and `datasets` have [some connector utilities](https://huggingface.co/docs/datasets/beam). But it's a little unclear what we mean by "But if you want to run your own Beam pipeline with Dataflow, here is how:". What does that pipe... | [
-0.30435314774513245,
-0.007525235414505005,
-0.1699199229478836,
0.0856790840625763,
0.05094778537750244,
0.05367528647184372,
0.13847731053829193,
-0.036014754325151443,
0.028381776064634323,
0.1522337645292282,
0.06695856153964996,
-0.16060271859169006,
-0.2723357081413269,
0.4187656641... |
https://github.com/huggingface/datasets/issues/5179 | `map()` fails midway due to format incompatibility | You can end up with a list instead of a tensor if all the tensors inside the list can't be stacked together - can you make sure all your inputs are tensors with the same shape ? | ### Describe the bug
I am using the `emotion` dataset from Hub for sequence classification. After training the model, I am using it to generate predictions for all the entries present in the `validation` split of the dataset.
```py
def get_test_accuracy(model):
def fn(batch):
inputs = {k:v.to(device... | 37 | `map()` fails midway due to format incompatibility
### Describe the bug
I am using the `emotion` dataset from Hub for sequence classification. After training the model, I am using it to generate predictions for all the entries present in the `validation` split of the dataset.
```py
def get_test_accuracy(model)... | [
-0.46174368262290955,
-0.21512742340564728,
-0.029291843995451927,
0.29025763273239136,
0.2581414580345154,
-0.030275799334049225,
0.35210028290748596,
0.4977319836616516,
0.1324395388364792,
0.14149993658065796,
-0.10084588080644608,
0.4010531008243561,
-0.15057165920734406,
-0.0396133139... |
https://github.com/huggingface/datasets/issues/5179 | `map()` fails midway due to format incompatibility | I modified my `tokenize()` function to be like so:
```py
def tokenize(batch):
return tokenizer(batch["text"], padding="longest")
```
so that the padding always happens w.r.t to the length of the longest sequence in a batch. The issue still persists. Is there any other way? | ### Describe the bug
I am using the `emotion` dataset from Hub for sequence classification. After training the model, I am using it to generate predictions for all the entries present in the `validation` split of the dataset.
```py
def get_test_accuracy(model):
def fn(batch):
inputs = {k:v.to(device... | 42 | `map()` fails midway due to format incompatibility
### Describe the bug
I am using the `emotion` dataset from Hub for sequence classification. After training the model, I am using it to generate predictions for all the entries present in the `validation` split of the dataset.
```py
def get_test_accuracy(model)... | [
-0.46174368262290955,
-0.21512742340564728,
-0.029291843995451927,
0.29025763273239136,
0.2581414580345154,
-0.030275799334049225,
0.35210028290748596,
0.4977319836616516,
0.1324395388364792,
0.14149993658065796,
-0.10084588080644608,
0.4010531008243561,
-0.15057165920734406,
-0.0396133139... |
https://github.com/huggingface/datasets/issues/5179 | `map()` fails midway due to format incompatibility | tbh I though your first implementation was fine
```python
def tokenize(batch):
return tokenizer(batch["text"], padding=True, truncation=True)
```
Maybe you can try to see what the erroring data looks like by adding a try/except in `get_test_accuracy` ? | ### Describe the bug
I am using the `emotion` dataset from Hub for sequence classification. After training the model, I am using it to generate predictions for all the entries present in the `validation` split of the dataset.
```py
def get_test_accuracy(model):
def fn(batch):
inputs = {k:v.to(device... | 35 | `map()` fails midway due to format incompatibility
### Describe the bug
I am using the `emotion` dataset from Hub for sequence classification. After training the model, I am using it to generate predictions for all the entries present in the `validation` split of the dataset.
```py
def get_test_accuracy(model)... | [
-0.46174368262290955,
-0.21512742340564728,
-0.029291843995451927,
0.29025763273239136,
0.2581414580345154,
-0.030275799334049225,
0.35210028290748596,
0.4977319836616516,
0.1324395388364792,
0.14149993658065796,
-0.10084588080644608,
0.4010531008243561,
-0.15057165920734406,
-0.0396133139... |
https://github.com/huggingface/datasets/issues/5179 | `map()` fails midway due to format incompatibility | This is what I got.
For the non-erroring data, it looks like (without the labels):
```
tensor([[ 101, 10047, 3110, ..., 0, 0, 0],
[ 101, 1045, 2514, ..., 0, 0, 0],
[ 101, 1045, 2514, ..., 0, 0, 0],
...,
[ 101, 1045, 2005, ...... | ### Describe the bug
I am using the `emotion` dataset from Hub for sequence classification. After training the model, I am using it to generate predictions for all the entries present in the `validation` split of the dataset.
```py
def get_test_accuracy(model):
def fn(batch):
inputs = {k:v.to(device... | 597 | `map()` fails midway due to format incompatibility
### Describe the bug
I am using the `emotion` dataset from Hub for sequence classification. After training the model, I am using it to generate predictions for all the entries present in the `validation` split of the dataset.
```py
def get_test_accuracy(model)... | [
-0.46174368262290955,
-0.21512742340564728,
-0.029291843995451927,
0.29025763273239136,
0.2581414580345154,
-0.030275799334049225,
0.35210028290748596,
0.4977319836616516,
0.1324395388364792,
0.14149993658065796,
-0.10084588080644608,
0.4010531008243561,
-0.15057165920734406,
-0.0396133139... |
https://github.com/huggingface/datasets/issues/5179 | `map()` fails midway due to format incompatibility | If you use the same batch_size for your two maps, you should get the exact same batches - therefore all containing the same shapes | ### Describe the bug
I am using the `emotion` dataset from Hub for sequence classification. After training the model, I am using it to generate predictions for all the entries present in the `validation` split of the dataset.
```py
def get_test_accuracy(model):
def fn(batch):
inputs = {k:v.to(device... | 24 | `map()` fails midway due to format incompatibility
### Describe the bug
I am using the `emotion` dataset from Hub for sequence classification. After training the model, I am using it to generate predictions for all the entries present in the `validation` split of the dataset.
```py
def get_test_accuracy(model)... | [
-0.46174368262290955,
-0.21512742340564728,
-0.029291843995451927,
0.29025763273239136,
0.2581414580345154,
-0.030275799334049225,
0.35210028290748596,
0.4977319836616516,
0.1324395388364792,
0.14149993658065796,
-0.10084588080644608,
0.4010531008243561,
-0.15057165920734406,
-0.0396133139... |
https://github.com/huggingface/datasets/issues/5178 | Unable to download the Chinese `wikipedia`, the dumpstatus.json not found! | In the dumps page of the wiki (https://dumps.wikimedia.org/zhwiki/), I found the following dumps:
```
Index of /zhwiki/
[../](https://dumps.wikimedia.org/)
[20220701/](https://dumps.wikimedia.org/zhwiki/20220701/) 21-Aug-2022 01:48 -
[20220720/](https://du... | ### Describe the bug
I tried:
`data = load_dataset('wikipedia', '20220301.zh', beam_runner='DirectRunner')`
and
`data = load_dataset("wikipedia", language="zh", date="20220301", beam_runner='DirectRunner')`
but both got:
`FileNotFoundError: Couldn't find file at https://dumps.wikimedia.org/zhwiki/20220301/dumpsta... | 412 | Unable to download the Chinese `wikipedia`, the dumpstatus.json not found!
### Describe the bug
I tried:
`data = load_dataset('wikipedia', '20220301.zh', beam_runner='DirectRunner')`
and
`data = load_dataset("wikipedia", language="zh", date="20220301", beam_runner='DirectRunner')`
but both got:
`FileNotFoundErr... | [
-0.12171469628810883,
0.1469551920890808,
-0.02930706925690174,
0.3561881184577942,
0.15384569764137268,
-0.005822628736495972,
0.39100372791290283,
0.4495713412761688,
0.34828200936317444,
0.003218702971935272,
-0.2742937207221985,
0.1957606077194214,
0.19682714343070984,
-0.3526170551776... |
https://github.com/huggingface/datasets/issues/5178 | Unable to download the Chinese `wikipedia`, the dumpstatus.json not found! | Hi, @beyondguo, thanks for reporting.
You have all the information in the dataset card: https://huggingface.co/datasets/wikipedia
> Then, you can load any subset of Wikipedia per language and per date this way:
> ```python
> from datasets import load_dataset
>
> load_dataset("wikipedia", language="sw", date=... | ### Describe the bug
I tried:
`data = load_dataset('wikipedia', '20220301.zh', beam_runner='DirectRunner')`
and
`data = load_dataset("wikipedia", language="zh", date="20220301", beam_runner='DirectRunner')`
but both got:
`FileNotFoundError: Couldn't find file at https://dumps.wikimedia.org/zhwiki/20220301/dumpsta... | 113 | Unable to download the Chinese `wikipedia`, the dumpstatus.json not found!
### Describe the bug
I tried:
`data = load_dataset('wikipedia', '20220301.zh', beam_runner='DirectRunner')`
and
`data = load_dataset("wikipedia", language="zh", date="20220301", beam_runner='DirectRunner')`
but both got:
`FileNotFoundErr... | [
-0.12171469628810883,
0.1469551920890808,
-0.02930706925690174,
0.3561881184577942,
0.15384569764137268,
-0.005822628736495972,
0.39100372791290283,
0.4495713412761688,
0.34828200936317444,
0.003218702971935272,
-0.2742937207221985,
0.1957606077194214,
0.19682714343070984,
-0.3526170551776... |
https://github.com/huggingface/datasets/issues/5178 | Unable to download the Chinese `wikipedia`, the dumpstatus.json not found! | Also:
> Some subsets of Wikipedia have already been processed by HuggingFace, and you can load them just with:
> ```python
> load_dataset("wikipedia", "20220301.en")
> ```
> The list of pre-processed subsets is:
> - "20220301.de"
> - "20220301.en"
> - "20220301.fr"
> - "20220301.frr"
> - "20220301.it"
> - "2... | ### Describe the bug
I tried:
`data = load_dataset('wikipedia', '20220301.zh', beam_runner='DirectRunner')`
and
`data = load_dataset("wikipedia", language="zh", date="20220301", beam_runner='DirectRunner')`
but both got:
`FileNotFoundError: Couldn't find file at https://dumps.wikimedia.org/zhwiki/20220301/dumpsta... | 51 | Unable to download the Chinese `wikipedia`, the dumpstatus.json not found!
### Describe the bug
I tried:
`data = load_dataset('wikipedia', '20220301.zh', beam_runner='DirectRunner')`
and
`data = load_dataset("wikipedia", language="zh", date="20220301", beam_runner='DirectRunner')`
but both got:
`FileNotFoundErr... | [
-0.12171469628810883,
0.1469551920890808,
-0.02930706925690174,
0.3561881184577942,
0.15384569764137268,
-0.005822628736495972,
0.39100372791290283,
0.4495713412761688,
0.34828200936317444,
0.003218702971935272,
-0.2742937207221985,
0.1957606077194214,
0.19682714343070984,
-0.3526170551776... |
https://github.com/huggingface/datasets/issues/5176 | prepare dataset for cloud storage doesn't work | It looks like an issue with `gcsfs`, are you able to instantiate a `GCSFileSystem` manually ? | ### Describe the bug
Following the [documentation](https://huggingface.co/docs/datasets/filesystems#load-and-save-your-datasets-using-your-cloud-storage-filesystem) and [this PR](https://github.com/huggingface/datasets/pull/4724), I was downloading and storing huggingface dataset to cloud storage.
```
from datasets ... | 16 | prepare dataset for cloud storage doesn't work
### Describe the bug
Following the [documentation](https://huggingface.co/docs/datasets/filesystems#load-and-save-your-datasets-using-your-cloud-storage-filesystem) and [this PR](https://github.com/huggingface/datasets/pull/4724), I was downloading and storing huggingfa... | [
-0.18443584442138672,
-0.2291715443134308,
0.08028601109981537,
0.21602044999599457,
0.4784649610519409,
0.08839989453554153,
0.1171254813671112,
0.03021061420440674,
-0.15905897319316864,
0.09195208549499512,
-0.06644763797521591,
0.05175613611936569,
0.020328743383288383,
0.3186256289482... |
https://github.com/huggingface/datasets/issues/5162 | Pip-compile: Could not find a version that matches dill<0.3.6,>=0.3.6 | Thanks for reporting, @Rijgersberg.
We were waiting for the release of `dill` 0.3.6, that happened 2 days ago (24 Oct 2022): https://github.com/uqfoundation/dill/releases/tag/dill-0.3.6
- See comment: https://github.com/huggingface/datasets/pull/4397#discussion_r880629543
Also `multiprocess` 0.70.14 was released... | ### Describe the bug
When using `pip-compile` (part of `pip-tools`) to generate a pinned requirements file that includes `datasets`, a version conflict of `dill` appears.
It is caused by a transitive dependency conflict between `datasets` and `multiprocess`.
### Steps to reproduce the bug
```bash
$ echo "dataset... | 43 | Pip-compile: Could not find a version that matches dill<0.3.6,>=0.3.6
### Describe the bug
When using `pip-compile` (part of `pip-tools`) to generate a pinned requirements file that includes `datasets`, a version conflict of `dill` appears.
It is caused by a transitive dependency conflict between `datasets` and `... | [
-0.4360457956790924,
-0.2165832221508026,
-0.10339915752410889,
0.1738641858100891,
-0.1144610196352005,
-0.17383147776126862,
-0.046796444803476334,
0.26767879724502563,
-0.2242933213710785,
0.05625074356794357,
0.19809915125370026,
0.594227135181427,
0.12205115705728531,
-0.4379246830940... |
https://github.com/huggingface/datasets/issues/5162 | Pip-compile: Could not find a version that matches dill<0.3.6,>=0.3.6 | In your specific setup, I guess the compatible configuration is with `multiprocess` 0.70.13 (instead of 0.70.14). | ### Describe the bug
When using `pip-compile` (part of `pip-tools`) to generate a pinned requirements file that includes `datasets`, a version conflict of `dill` appears.
It is caused by a transitive dependency conflict between `datasets` and `multiprocess`.
### Steps to reproduce the bug
```bash
$ echo "dataset... | 16 | Pip-compile: Could not find a version that matches dill<0.3.6,>=0.3.6
### Describe the bug
When using `pip-compile` (part of `pip-tools`) to generate a pinned requirements file that includes `datasets`, a version conflict of `dill` appears.
It is caused by a transitive dependency conflict between `datasets` and `... | [
-0.4360457956790924,
-0.2165832221508026,
-0.10339915752410889,
0.1738641858100891,
-0.1144610196352005,
-0.17383147776126862,
-0.046796444803476334,
0.26767879724502563,
-0.2242933213710785,
0.05625074356794357,
0.19809915125370026,
0.594227135181427,
0.12205115705728531,
-0.4379246830940... |
https://github.com/huggingface/datasets/issues/5162 | Pip-compile: Could not find a version that matches dill<0.3.6,>=0.3.6 | > @Rijgersberg this issue is fixed. It will be available in our next `datasets` release.
Any chance you have a eta? | ### Describe the bug
When using `pip-compile` (part of `pip-tools`) to generate a pinned requirements file that includes `datasets`, a version conflict of `dill` appears.
It is caused by a transitive dependency conflict between `datasets` and `multiprocess`.
### Steps to reproduce the bug
```bash
$ echo "dataset... | 21 | Pip-compile: Could not find a version that matches dill<0.3.6,>=0.3.6
### Describe the bug
When using `pip-compile` (part of `pip-tools`) to generate a pinned requirements file that includes `datasets`, a version conflict of `dill` appears.
It is caused by a transitive dependency conflict between `datasets` and `... | [
-0.4360457956790924,
-0.2165832221508026,
-0.10339915752410889,
0.1738641858100891,
-0.1144610196352005,
-0.17383147776126862,
-0.046796444803476334,
0.26767879724502563,
-0.2242933213710785,
0.05625074356794357,
0.19809915125370026,
0.594227135181427,
0.12205115705728531,
-0.4379246830940... |
https://github.com/huggingface/datasets/issues/5162 | Pip-compile: Could not find a version that matches dill<0.3.6,>=0.3.6 | @Rijgersberg, please also that you can 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 versi... | ### Describe the bug
When using `pip-compile` (part of `pip-tools`) to generate a pinned requirements file that includes `datasets`, a version conflict of `dill` appears.
It is caused by a transitive dependency conflict between `datasets` and `multiprocess`.
### Steps to reproduce the bug
```bash
$ echo "dataset... | 33 | Pip-compile: Could not find a version that matches dill<0.3.6,>=0.3.6
### Describe the bug
When using `pip-compile` (part of `pip-tools`) to generate a pinned requirements file that includes `datasets`, a version conflict of `dill` appears.
It is caused by a transitive dependency conflict between `datasets` and `... | [
-0.4360457956790924,
-0.2165832221508026,
-0.10339915752410889,
0.1738641858100891,
-0.1144610196352005,
-0.17383147776126862,
-0.046796444803476334,
0.26767879724502563,
-0.2242933213710785,
0.05625074356794357,
0.19809915125370026,
0.594227135181427,
0.12205115705728531,
-0.4379246830940... |
https://github.com/huggingface/datasets/issues/5160 | Automatically add filename for image/audio folder | I'm fine with adding a new column with the file name personally. Not sure how breaking this is though | ### Feature request
When creating a custom audio of image dataset, it would be great to automatically have access to the filename. It should be both:
a) Automatically displayed in the viewer
b) Automatically added as a column to the dataset when doing `load_dataset`
In `diffusers` our test rely quite heavily on i... | 19 | Automatically add filename for image/audio folder
### Feature request
When creating a custom audio of image dataset, it would be great to automatically have access to the filename. It should be both:
a) Automatically displayed in the viewer
b) Automatically added as a column to the dataset when doing `load_dataset... | [
-0.2002544105052948,
0.284662127494812,
-0.08746276795864105,
0.15082639455795288,
0.2233719378709793,
0.03521130234003067,
0.377669095993042,
-0.02047678828239441,
0.02421051263809204,
0.8120677471160889,
-0.1293373554944992,
0.2963838279247284,
-0.3278224468231201,
-0.021881408989429474,... |
https://github.com/huggingface/datasets/issues/5160 | Automatically add filename for image/audio folder | @patrickvonplaten do you mean just filename or full relative path inside the repo?
I think it shouldn't be breaking, at least I cannot come up with any case where it is. Maybe @mariosasko can?
also I think that the problem here and in general is that Image/AudioFolder has default configuration which implies automat... | ### Feature request
When creating a custom audio of image dataset, it would be great to automatically have access to the filename. It should be both:
a) Automatically displayed in the viewer
b) Automatically added as a column to the dataset when doing `load_dataset`
In `diffusers` our test rely quite heavily on i... | 78 | Automatically add filename for image/audio folder
### Feature request
When creating a custom audio of image dataset, it would be great to automatically have access to the filename. It should be both:
a) Automatically displayed in the viewer
b) Automatically added as a column to the dataset when doing `load_dataset... | [
-0.26923713088035583,
0.33774036169052124,
-0.05023801326751709,
0.1691157966852188,
0.220879465341568,
-0.012015335261821747,
0.40248310565948486,
-0.07569336891174316,
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0.815790593624115,
-0.14378467202186584,
0.2908387780189514,
-0.2941618859767914,
-0.1302652657032... |
https://github.com/huggingface/datasets/issues/5160 | Automatically add filename for image/audio folder | > also I think that the problem here and in general Image/AudioFolder has default configuration which implies automatic label creation if there is not metadata file
Yea I agree it's often the wrong default. We can also imagine adding the builder's parameters as YAML in the repo. | ### Feature request
When creating a custom audio of image dataset, it would be great to automatically have access to the filename. It should be both:
a) Automatically displayed in the viewer
b) Automatically added as a column to the dataset when doing `load_dataset`
In `diffusers` our test rely quite heavily on i... | 47 | Automatically add filename for image/audio folder
### Feature request
When creating a custom audio of image dataset, it would be great to automatically have access to the filename. It should be both:
a) Automatically displayed in the viewer
b) Automatically added as a column to the dataset when doing `load_dataset... | [
-0.306245893239975,
0.3681691884994507,
-0.0613664835691452,
0.24817150831222534,
0.2044566124677658,
0.017733223736286163,
0.3643563985824585,
-0.07309010624885559,
-0.029688779264688492,
0.9004749059677124,
-0.08891282230615616,
0.289945125579834,
-0.3732298016548157,
-0.0449076965451240... |
https://github.com/huggingface/datasets/issues/5160 | Automatically add filename for image/audio folder | @lhoestq yes I also got the idea of some YAML config! not sure of what priority it is though. | ### Feature request
When creating a custom audio of image dataset, it would be great to automatically have access to the filename. It should be both:
a) Automatically displayed in the viewer
b) Automatically added as a column to the dataset when doing `load_dataset`
In `diffusers` our test rely quite heavily on i... | 19 | Automatically add filename for image/audio folder
### Feature request
When creating a custom audio of image dataset, it would be great to automatically have access to the filename. It should be both:
a) Automatically displayed in the viewer
b) Automatically added as a column to the dataset when doing `load_dataset... | [
-0.21613767743110657,
0.22252652049064636,
-0.08148719370365143,
0.17287060618400574,
0.231121227145195,
0.04465516656637192,
0.3522820472717285,
-0.05451015755534172,
-0.028429530560970306,
0.8056465983390808,
-0.12862786650657654,
0.2772097885608673,
-0.3331998288631439,
-0.0315170511603... |
https://github.com/huggingface/datasets/issues/5160 | Automatically add filename for image/audio folder | I meant just the file name (no path) that would already be super helpful IMO :-) (maybe dir+filename if there are dirs in the folder) | ### Feature request
When creating a custom audio of image dataset, it would be great to automatically have access to the filename. It should be both:
a) Automatically displayed in the viewer
b) Automatically added as a column to the dataset when doing `load_dataset`
In `diffusers` our test rely quite heavily on i... | 25 | Automatically add filename for image/audio folder
### Feature request
When creating a custom audio of image dataset, it would be great to automatically have access to the filename. It should be both:
a) Automatically displayed in the viewer
b) Automatically added as a column to the dataset when doing `load_dataset... | [
-0.22983823716640472,
0.2651713788509369,
-0.09511184692382812,
0.18851011991500854,
0.21011309325695038,
0.03678017109632492,
0.31313565373420715,
-0.04229505732655525,
-0.01920001581311226,
0.8098442554473877,
-0.1472570151090622,
0.28559112548828125,
-0.35230815410614014,
-0.02835384011... |
https://github.com/huggingface/datasets/issues/5160 | Automatically add filename for image/audio folder | @patrickvonplaten one more time, to be sure I understand you.
For example, we have data structure like this:
```
ββ data/
β ββ subdir/
β βββ cats/
β βββ 0.jpg
β βββ 1.jpg
β βββ 2.jpg
β βββ dogs/
β βββ 0.jpg
β βββ 1.jpg
β βββ 2.jpg
βββ another_s... | ### Feature request
When creating a custom audio of image dataset, it would be great to automatically have access to the filename. It should be both:
a) Automatically displayed in the viewer
b) Automatically added as a column to the dataset when doing `load_dataset`
In `diffusers` our test rely quite heavily on i... | 82 | Automatically add filename for image/audio folder
### Feature request
When creating a custom audio of image dataset, it would be great to automatically have access to the filename. It should be both:
a) Automatically displayed in the viewer
b) Automatically added as a column to the dataset when doing `load_dataset... | [
-0.23316888511180878,
0.2752443552017212,
-0.08608849346637726,
0.17145873606204987,
0.20134775340557098,
0.03416576236486435,
0.31749916076660156,
-0.028296485543251038,
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0.8031667470932007,
-0.16384409368038177,
0.2751559317111969,
-0.31271424889564514,
-0.0421421863... |
https://github.com/huggingface/datasets/issues/5158 | Fix language and license tag names in all Hub datasets | Hi @ayushthe1, thanks for your offer.
But as you can see, I self-assigned this issue.
I have already fixed 200 out of the 402 datasets. My script is still running and fixing the rest.
For example: https://huggingface.co/datasets/fhamborg/news_sentiment_newsmtsc/discussions/2/files | While working on this:
- #5137
we realized there are still many datasets with deprecated "languages" and "licenses" tag names (instead of "language" and "license").
This is a blocking issue: no subsequent PR can be opened to modify their metadata: a ValueError will be thrown.
We should fix the "language" and ... | 37 | Fix language and license tag names in all Hub datasets
While working on this:
- #5137
we realized there are still many datasets with deprecated "languages" and "licenses" tag names (instead of "language" and "license").
This is a blocking issue: no subsequent PR can be opened to modify their metadata: a ValueE... | [
-0.1418328434228897,
0.06170061230659485,
-0.15274924039840698,
0.058876752853393555,
0.08886030316352844,
0.006303265690803528,
0.32195132970809937,
0.5604634881019592,
0.3392614722251892,
0.04936276376247406,
-0.19746185839176178,
0.3276386857032776,
-0.12068318575620651,
0.1860922276973... |
https://github.com/huggingface/datasets/issues/5157 | Consistent caching between python and jupyter | Hi ! Maybe it's possible to have a consistent hash for a function defined in `__main__` and a function define in a notebook.
However for functions imported from another location, pickle uses the location to identify the code, so in that case we can't do much I believe.
Would it be ok for you if we only try to do ... | ### Feature request
I hope this is not my mistake, currently if I use `load_dataset` from a python session on a custom dataset to do the preprocessing, it will be saved in the cache and in other python sessions it will be loaded from the cache, however calling the same from a jupyter notebook does not work, meaning th... | 107 | Consistent caching between python and jupyter
### Feature request
I hope this is not my mistake, currently if I use `load_dataset` from a python session on a custom dataset to do the preprocessing, it will be saved in the cache and in other python sessions it will be loaded from the cache, however calling the same f... | [
0.013680655509233475,
0.4253919720649719,
0.0007224287837743759,
-0.03710532188415527,
-0.04873708635568619,
-0.1500226855278015,
0.44150856137275696,
0.25623032450675964,
0.19895532727241516,
0.009455956518650055,
-0.08333992958068848,
0.13355721533298492,
-0.014632071368396282,
0.4660473... |
https://github.com/huggingface/datasets/issues/5157 | Consistent caching between python and jupyter | Seems like a good solution, I will start a PR and see if I understood the changes needed. Thanks! | ### Feature request
I hope this is not my mistake, currently if I use `load_dataset` from a python session on a custom dataset to do the preprocessing, it will be saved in the cache and in other python sessions it will be loaded from the cache, however calling the same from a jupyter notebook does not work, meaning th... | 19 | Consistent caching between python and jupyter
### Feature request
I hope this is not my mistake, currently if I use `load_dataset` from a python session on a custom dataset to do the preprocessing, it will be saved in the cache and in other python sessions it will be loaded from the cache, however calling the same f... | [
-0.020162779837846756,
0.42007070779800415,
0.008680462837219238,
-0.03682028502225876,
-0.09623405337333679,
0.004682101309299469,
0.5217930674552917,
0.26661986112594604,
0.058582600206136703,
-0.02260148525238037,
-0.005156694911420345,
-0.022722333669662476,
0.04343399405479431,
0.2598... |
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