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] | https://api.github.com/repos/huggingface/datasets | MEMBER | #2025 changed the format of `Dataset.cache_files`.
Before it was formatted like
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[{"filename": "path/to/file.arrow", "start": 0, "end": 1337}]
```
and it was changed to
```python
["path/to/file.arrow"]
```
since there's no start/end offsets available anymore.
To make this less breaking, I'm setting... | 2021-04-14T14:24:24Z | https://github.com/huggingface/datasets/pull/2217 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | I would like to add [SLR35](https://openslr.org/35/) (18GB) and [SLR36](https://openslr.org/36/) (22GB) which are Large Javanese and Sundanese ASR training data set collected by Google in collaboration with Reykjavik University and Universitas Gadjah Mada in Indonesia. | 2021-04-13T14:05:14Z | https://github.com/huggingface/datasets/pull/2215 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | I'm having the same problem as [Notebooks issue 10](https://github.com/huggingface/notebooks/issues/10) on datasets 1.2.1, and it seems to be an issue with the datasets package.
```python
>>> from datasets import load_metric
>>> metric = load_metric("glue", "sst2")
Traceback (most recent call last):
File "<std... | 2021-04-23T15:20:02Z | https://github.com/huggingface/datasets/issues/2214 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Fixes #2211 | 2021-04-14T22:04:54Z | https://github.com/huggingface/datasets/pull/2213 | {
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```Python
fquad = load_dataset("fquad")
```
which produces the following error:
```
Using custom data configuration default
Downloading and preparing dataset fquad/default (download: 3.14 MiB, generated: 6.62 MiB, ... | 2023-10-03T16:09:19Z | https://github.com/huggingface/datasets/issues/2212 | {
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```Python
lc_quad = load_dataset("lc_quad")
```
which is giving me the following error:
```
Using custom data configuration default
Downloading and preparing dataset lc_quad/default (download: 3.69 MiB, ge... | 2021-04-14T13:42:25Z | https://github.com/huggingface/datasets/issues/2211 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | Hi,
When I use datasets with 600GB data, the dataloading speed increases significantly.
I am experimenting with two datasets, and one is about 60GB and the other 600GB.
Simply speaking, my code uses `datasets.set_format("torch")` function and let pytorch-lightning handle ddp training.
When looking at the pytorch... | 2021-04-13T02:03:05Z | https://github.com/huggingface/datasets/issues/2210 | {
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https://api.github.com/repos/huggingface/datasets/issues/2209/comments | https://api.github.com/repos/huggingface/datasets/issues/2209/timeline | 2021-04-12T17:55:52Z | null | null | MDExOlB1bGxSZXF1ZXN0NjEzMzQwMTI2 | closed | [] | false | 2,209 | {
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This was already done in `transformers`. | 2021-04-12T17:55:52Z | https://github.com/huggingface/datasets/pull/2209 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | This PR removes Python2 leftovers since this project aims for Python3.6+ (and as of 2020 Python2 is no longer officially supported) | 2021-04-14T22:05:36Z | https://github.com/huggingface/datasets/pull/2208 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | Hi
For accessing the labels one can type
```
>>> a.features['label']
ClassLabel(num_classes=3, names=['entailment', 'neutral', 'contradiction'], names_file=None, id=None)
```
The labels however are not consistent with the actual labels sometimes, for instance in case of XNLI, the actual labels are 0,1,2, but if ... | 2022-06-01T16:23:08Z | https://github.com/huggingface/datasets/issues/2207 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | I added five more special tokens into the GPT2 tokenizer. But after that, when I try to pre-process the data using my previous code, I got an error shown below:
Traceback (most recent call last):
File "/home/xuyan/anaconda3/envs/convqa/lib/python3.7/site-packages/datasets/arrow_dataset.py", line 1687, in _map_sin... | 2021-11-10T12:18:30Z | https://github.com/huggingface/datasets/issues/2206 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Hi!
I just updated the citation information in this PR. It had an additional bibtex from one of the datasets used in LinCE and then the LinCE bibtex. I removed the former and added a link that shows the full list of citations for each dataset.
Thanks! | 2021-04-12T17:53:34Z | https://github.com/huggingface/datasets/pull/2205 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Fixes #2148
Adds options to use strict mode, different schemes of evaluation, sample weight and adjust zero_division behavior, if encountered.
`seqeval` provides schemes as objects, hence dynamic import from string, to avoid making the user do the import (thanks to @albertvillanova for the `importlib` idea). | 2021-04-15T13:49:46Z | https://github.com/huggingface/datasets/pull/2204 | {
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https://api.github.com/repos/huggingface/datasets/issues/2203/comments | https://api.github.com/repos/huggingface/datasets/issues/2203/timeline | 2021-04-23T14:33:39Z | null | null | MDExOlB1bGxSZXF1ZXN0NjEyODg4MzA5 | closed | [] | false | 2,203 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | Add documentation for classes `GenerateMode`, `DownloadConfig` and `Version`.
Update the docstring of `load_dataset` to create cross-reference links to the classes.
Related to #2187. | 2021-04-12T17:58:00Z | https://github.com/huggingface/datasets/pull/2202 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | This should fix the issues with CSV loading experienced in #2153 and #2200.
The CSV builder is an ArrowBasedBuilder that had an issue with its ArrowWriter used to write the arrow file from the csv data.
The writer wasn't initialized with the features passed by the user. Therefore the writer was inferring the featur... | 2021-04-12T13:32:17Z | https://github.com/huggingface/datasets/pull/2201 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | Hi, here is my issue:
I initialized a Csv datasetbuilder with specific features:
```
def get_dataset_features(data_args):
features = {}
if data_args.text_features:
features.update({text_feature: hf_features.Value("string") for text_feature in data_args.text_features.strip().split(",")})
if da... | 2021-06-04T10:37:35Z | https://github.com/huggingface/datasets/issues/2200 | {
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Related to #2195. | 2021-04-09T15:57:05Z | https://github.com/huggingface/datasets/pull/2199 | {
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... | added file_permission in load_dataset | https://api.github.com/repos/huggingface/datasets/issues/2198/events | null | https://api.github.com/repos/huggingface/datasets/issues/2198/labels{/name} | 2021-04-09T09:39:06Z | null | false | null | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | As discussed in #2065 I've added `file_permission` argument in `load_dataset`.
Added mainly 2 things here:
1) Permission of downloaded datasets when converted to .arrow files can be changed with argument `file_permission` argument in `load_dataset` (default is 0o644 only)
2) Incase the user uses `map` later on t... | 2021-04-16T14:11:46Z | https://github.com/huggingface/datasets/pull/2198 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | This should fix #2195
`load_from_disk` was failing if there was no "_indices_files" field in state.json. This can happen if the dataset has no indices mapping | 2021-04-09T09:54:40Z | https://github.com/huggingface/datasets/pull/2197 | {
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I am using datasets to load large json file of 587G.
I checked the cached folder and found that there are two arrow files created:
* `cache-ed205e500a7dc44c.arrow` - 355G
* `json-train.arrow` - 582G
Why is the first file created?
If I delete it, would I still be able to `load_from_disk`? | 2021-04-12T05:25:29Z | https://github.com/huggingface/datasets/issues/2196 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | After pulling the latest master, I'm getting a crash when `load_from_disk` tries to load my local dataset.
Trace:
```
Traceback (most recent call last):
File "load_data.py", line 11, in <module>
dataset = load_from_disk(SRC)
File "/opt/conda/envs/py38/lib/python3.8/site-packages/datasets/load.py", line ... | 2021-04-09T09:55:09Z | https://github.com/huggingface/datasets/issues/2195 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | While this works fine with py3.8, under py3.7, with a totally new conda env and transformers install:
```
git clone https://github.com/huggingface/transformers
cd transformers
pip install -e .[testing]
export BS=1; rm -rf /tmp/test-clm; PYTHONPATH=src USE_TF=0 CUDA_VISIBLE_DEVICES=0 python \
examples/language... | 2021-04-09T16:56:50Z | https://github.com/huggingface/datasets/issues/2194 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | I'm currently using the `wikipedia` dataset— I'm tokenizing the articles with the `tokenizers` library using `map()` and also adding a new `num_tokens` column to the dataset as part of that map operation.
I want to be able to _filter_ the dataset based on this `num_tokens` column, but even when I specify `input_colu... | 2021-04-26T16:13:59Z | https://github.com/huggingface/datasets/issues/2193 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | pip knows how to resolve to `huggingface_hub`, but conda doesn't!
The `packaging` dependency is also required for the build to complete. | 2021-04-08T15:47:41Z | https://github.com/huggingface/datasets/pull/2192 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | I used load_dataset to load the news_commentary dataset for "ar-en" translation pairs but found translations from Arabic to Hindi.
```
train_ds = load_dataset("news_commentary", "ar-en", split='train[:98%]')
val_ds = load_dataset("news_commentary", "ar-en", split='train[98%:]')
# filtering out examples that a... | 2021-05-24T10:03:55Z | https://github.com/huggingface/datasets/issues/2190 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | As you can see, it saves the entire dataset.
@lhoestq
You can check by going through the following example,
```
from datasets import load_from_disk,concatenate_datasets
loaded_data=load_from_disk('/home/gsir059/HNSW-ori/my_knowledge_dataset')
n=20
kb_list=[loaded_data.shard(n, i, contiguous=True) for i... | 2022-06-01T16:32:15Z | https://github.com/huggingface/datasets/issues/2189 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | I ran a simple code to list all texts in Timit dataset and the texts were all the same.
Is this dataset corrupted?
**Code:**
timit = load_dataset("timit_asr")
print(*timit['train']['text'], sep='\n')
**Result:**
Would such an act of refusal be useful?
Would such an act of refusal be useful?
Would such an act of... | 2021-04-08T12:13:19Z | https://github.com/huggingface/datasets/issues/2188 | {
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```
from datasets import set_caching_enabled
...
def main():
# disable caching in datasets
set_caching_enabled(False)
```
However, in my log files I see messages like the following:
```
04/07/2021 18:34:42 - WARNING - datasets.build... | 2023-01-03T18:30:38Z | https://github.com/huggingface/datasets/issues/2187 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | This PR updates the GEM dataset to:
- remove extraneous fields in WikiAuto after https://github.com/huggingface/datasets/pull/2171 fixed the source
- add context and services to Schema Guided Dialog
- Add new or update challenge sets for MLSUM ES and DE, XSUM, and SGD | 2021-04-07T21:56:35Z | https://github.com/huggingface/datasets/pull/2186 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | Hi,
I have a question regarding distributed training and the `.map` call on a dataset.
I have a local dataset "my_custom_dataset" that I am loading with `datasets = load_from_disk(dataset_path=my_path)`.
`dataset` is then tokenized:
```python
datasets = load_from_disk(dataset_path=my_path)
[...]
def tokeni... | 2021-10-23T07:11:15Z | https://github.com/huggingface/datasets/issues/2185 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Addresses #2176
I'm happy to discuss the API and internals! | 2021-04-16T11:44:37Z | https://github.com/huggingface/datasets/pull/2184 | {
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1. latest versions of `fsspec` require python>3.7 for async features
2. `s3fs` added a dependency on `aiobotocore`, which is not compatible with the `moto` s3 mock context manager
This PR fixes both issues, by pinning `fsspec` and `s3fs` for python 3.6, and by using `moto` in ser... | 2021-04-08T08:54:45Z | https://github.com/huggingface/datasets/pull/2183 | {
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Close #2179.
TODO:
- [x] Add a section in the docs about this.
- ~Add a warning if someone tries to specify `cache_file_name=` in `map`, `filter` etc. on a dataset that is in memory, since the computation is not going to be c... | 2021-04-20T14:20:12Z | https://github.com/huggingface/datasets/pull/2182 | {
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"gists_url": "https:... | Error when loading a HUGE json file (pyarrow.lib.ArrowInvalid: straddling object straddles two block boundaries) | https://api.github.com/repos/huggingface/datasets/issues/2181/events | null | https://api.github.com/repos/huggingface/datasets/issues/2181/labels{/name} | 2021-04-07T10:26:46Z | null | false | null | null | 852,261,607 | [] | https://api.github.com/repos/huggingface/datasets/issues/2181 | [
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] | https://api.github.com/repos/huggingface/datasets | NONE | Hi, thanks for the great library. I have used the brilliant library for a couple of small projects, and now using it for a fairly big project.
When loading a huge json file of 500GB, pyarrow complains as follows:
```
Traceback (most recent call last):
File "/home/user/.pyenv/versions/3.7.9/lib/python3.7/site-pack... | 2021-04-12T07:15:55Z | https://github.com/huggingface/datasets/issues/2181 | {
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However this might not be necessary for small datasets. If a dataset is small enough, then it can be loaded in-memory and:
- its memory footprint would be small so it's ok
- in-memory computations/queries would be faster
- the cach... | 2021-04-20T10:04:04Z | https://github.com/huggingface/datasets/issues/2179 | {
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This is an issue since users expect memory mapped datasets to not fill up the RAM.
To fix that I used `map` to write a new arrow file on disk when cast is used.
To make things more convenient I introduced the `arrow` formatting of a dataset, ... | 2021-04-20T14:20:44Z | https://github.com/huggingface/datasets/pull/2178 | {
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I added OpenGraph/ Twitter Card support to the docs to create nice social thumbnails.
To be able to add these I needed to install `sphinxext-op... | 2021-04-07T08:16:01Z | https://github.com/huggingface/datasets/pull/2177 | {
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In the docs for `cast`, it's noted that `For non-trivial conversion, e.g. string <-> ClassLabel you should use map() to update the Dataset.`
Would it be possible to have an example that demonstrates such a string <-> ClassLabel conversion using `map`? Thanks! | 2022-06-01T16:31:49Z | https://github.com/huggingface/datasets/issues/2176 | {
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https://api.github.com/repos/huggingface/datasets/issues/2175/comments | https://api.github.com/repos/huggingface/datasets/issues/2175/timeline | 2021-04-16T12:21:15Z | null | completed | MDU6SXNzdWU4NTE4MzYwOTY= | closed | [] | null | 2,175 | {
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During the retrieval phase exactly in [this line of retrieval_rag.py](https://github.com/huggingface/transformers/blob/master/src/transformers/models/rag/retrieval_... | 2021-04-16T12:21:16Z | https://github.com/huggingface/datasets/issues/2175 | {
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We had the same problem in Transformers and solved it by pinning docutils (a dep of sphinx... | 2021-04-06T12:55:53Z | https://github.com/huggingface/datasets/pull/2174 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | OpenSLR (https://openslr.org/) is a site devoted to hosting speech and language resources, such as training corpora for speech recognition, and software related to speech recognition. There are around 80 speech datasets listed in OpenSLR, currently this PR includes only 9 speech datasets SLR41, SLR42, SLR43, SLR44, SLR... | 2021-04-12T16:54:46Z | https://github.com/huggingface/datasets/pull/2173 | {
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I'm pinning `fsspec` until this has been resolved | 2021-04-06T09:49:27Z | https://github.com/huggingface/datasets/pull/2172 | {
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```
20201220/ 02-Feb-2021 01:36 -
20210101/ 21-Feb-2021 01:26 -
20210120/ ... | 2021-06-16T01:10:50Z | https://github.com/huggingface/datasets/issues/2170 | {
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"gists... | Updated WER metric implementation to avoid memory issues | https://api.github.com/repos/huggingface/datasets/issues/2169/events | null | https://api.github.com/repos/huggingface/datasets/issues/2169/labels{/name} | 2021-04-05T15:43:20Z | null | false | null | {
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https://github.com/huggingface/datasets/issues/2078
| 2021-04-06T15:02:58Z | https://github.com/huggingface/datasets/pull/2169 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Fixes #2167
Using `eval` is not ideal for security reasons (in web apps I assume), but without it the code would be much more complex IMO.
In terms of style, instead of explicitly importing a private member (`_RelativeInstruction`), we can add these imports at the top of the module:
```python
from . import arr... | 2021-04-19T10:57:05Z | https://github.com/huggingface/datasets/pull/2168 | {
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"gists_url"... | Split type not preserved when reloading the dataset | https://api.github.com/repos/huggingface/datasets/issues/2167/events | null | https://api.github.com/repos/huggingface/datasets/issues/2167/labels{/name} | 2021-04-04T19:29:54Z | null | false | null | null | 849,944,891 | [] | https://api.github.com/repos/huggingface/datasets/issues/2167 | [
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | A minimal reproducible example:
```python
>>> from datasets import load_dataset, Dataset
>>> dset = load_dataset("sst", split="train")
>>> dset.save_to_disk("sst")
>>> type(dset.split)
<class 'datasets.splits.NamedSplit'>
>>> dset = Dataset.load_from_disk("sst")
>>> type(dset.split) # NamedSplit expected
<cla... | 2021-04-19T09:08:55Z | https://github.com/huggingface/datasets/issues/2167 | {
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"gists_url": "https://a... | Regarding Test Sets for the GEM datasets | https://api.github.com/repos/huggingface/datasets/issues/2166/events | null | https://api.github.com/repos/huggingface/datasets/issues/2166/labels{/name} | 2021-04-04T02:02:45Z | null | false | null | null | 849,778,545 | [
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] | https://api.github.com/repos/huggingface/datasets | NONE | @yjernite Hi, are the test sets for the GEM datasets scheduled to be [added soon](https://gem-benchmark.com/shared_task)?
e.g.
```
from datasets import load_dataset
DATASET_NAME="common_gen"
data = load_dataset("gem", DATASET_NAME)
```
The test set doesn't have the target or references.
```
data['test... | 2021-04-06T08:13:12Z | https://github.com/huggingface/datasets/issues/2166 | {
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"gists_url": "... | How to convert datasets.arrow_dataset.Dataset to torch.utils.data.Dataset | https://api.github.com/repos/huggingface/datasets/issues/2165/events | null | https://api.github.com/repos/huggingface/datasets/issues/2165/labels{/name} | 2021-04-04T01:01:48Z | null | false | null | null | 849,771,665 | [] | https://api.github.com/repos/huggingface/datasets/issues/2165 | [
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I'm trying to pretraine deep-speed model using HF arxiv dataset like:
```
train_ds = nlp.load_dataset('scientific_papers', 'arxiv')
train_ds.set_format(
type="torch",
columns=["input_ids", "attention_mask", "global_attention_mask", "labels"],
)
engine, _, _, _ = deepspeed.initialize(
... | 2021-08-24T15:55:35Z | https://github.com/huggingface/datasets/issues/2165 | {
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"gists_url"... | Replace assertTrue(isinstance with assertIsInstance in tests | https://api.github.com/repos/huggingface/datasets/issues/2164/events | null | https://api.github.com/repos/huggingface/datasets/issues/2164/labels{/name} | 2021-04-03T21:07:02Z | null | false | null | {
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"gists_url"... | Concat only unique fields in DatasetInfo.from_merge | https://api.github.com/repos/huggingface/datasets/issues/2163/events | null | https://api.github.com/repos/huggingface/datasets/issues/2163/labels{/name} | 2021-04-03T14:31:30Z | null | false | null | {
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Fixes #2103 | 2021-04-06T14:40:00Z | https://github.com/huggingface/datasets/pull/2163 | {
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"gists_url"... | visualization for cc100 is broken | https://api.github.com/repos/huggingface/datasets/issues/2162/events | null | https://api.github.com/repos/huggingface/datasets/issues/2162/labels{/name} | 2021-04-02T10:11:13Z | null | false | null | null | 849,129,201 | [
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visualization through dataset viewer for cc100 is broken
https://huggingface.co/datasets/viewer/
thanks a lot
| 2022-10-05T13:20:24Z | https://github.com/huggingface/datasets/issues/2162 | {
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Some of the datasets I need like cc100 are very large, and then I wonder if I can download first X samples of the shuffled/unshuffled data without going through first downloading the whole data then sampling? thanks | 2022-10-05T13:26:51Z | https://github.com/huggingface/datasets/issues/2161 | {
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I am running this code from huggingface transformers https://github.com/huggingface/transformers/blob/master/examples/language-modeling/run_mlm.py
to speed up tokenization, since I am running on multiple datasets, I am using data_args.preprocessing_num_workers = 4 with opus100 corpus but this moves ... | 2021-04-02T10:14:32Z | https://github.com/huggingface/datasets/issues/2160 | {
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- **Name:** ccnet
- **Description:**
Common Crawl
- **Paper:**
https://arxiv.org/abs/1911.00359
- **Data:**
https://github.com/facebookresearch/cc_net
- **Motivation:**
this is one of the most comprehensive clean monolingual datasets across a variety of languages. Quite importan... | 2021-04-02T10:05:19Z | https://github.com/huggingface/datasets/issues/2159 | {
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> ImportError: To be able to use this dataset, you need to install the following dependencies['openpyxl'] using 'pip install # noqa: requires this pandas optional depe... | 2022-10-05T13:22:02Z | https://github.com/huggingface/datasets/issues/2158 | {
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cc @albertvillanova | 2021-04-01T16:46:30Z | https://github.com/huggingface/datasets/pull/2155 | {
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I'm using datasets 1.5.0
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Close #853. | 2021-06-23T17:41:02Z | https://github.com/huggingface/datasets/pull/2151 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | This should fix issue #2134
Pickling is limited to <4GiB objects, it's not possible to pickle a big arrow table (for multiprocessing for example).
For big tables, we have to write them on disk and only pickle the path to the table. | 2021-03-31T10:37:15Z | https://github.com/huggingface/datasets/pull/2150 | {
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train_dataset = load_dataset('xtreme', 'tatoeba.tel')['validation']
ValueError: BuilderConfig tatoeba.tel not found.
but language tel is actually included in xtreme:
https://github.com/google-research/xtreme/blob/master/utils_preprocess.py
def tatoeba_preprocess(args):
lang3_dict ... | 2022-10-05T13:28:30Z | https://github.com/huggingface/datasets/issues/2149 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Right now `load_metric("seqeval")` only works in the default mode of evaluation (equivalent to conll evaluation).
However, seqeval library [supports](https://github.com/chakki-works/seqeval#support-features) different evaluation schemes (IOB1, IOB2, etc.), which can be plugged in just by supporting additional kwargs... | 2021-04-15T13:49:46Z | https://github.com/huggingface/datasets/issues/2148 | {
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See e.g. current docs for `Dataset.to_csv`. | 2021-03-31T13:11:05Z | https://github.com/huggingface/datasets/pull/2147 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | Hi,
I have created my own dataset using the provided dataset loading script. It is an image dataset where images are stored as 3D Array with dtype=uint8.
The actual size on disk is surprisingly large. It takes 520 MB. Here is some info from `dataset_info.json`.
`{
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"citation": ""... | 2021-04-16T13:07:02Z | https://github.com/huggingface/datasets/issues/2146 | {
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Close #1954. | 2021-04-29T14:50:44Z | https://github.com/huggingface/datasets/pull/2145 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | **Problem description**
I am getting the following error when trying to load wikipedia/20200501.en dataset.
**Error log**
Downloading and preparing dataset wikipedia/20200501.en (download: 16.99 GiB, generated: 17.07 GiB, post-processed: Unknown size, total: 34.06 GiB) to /usr/local/workspace/NAS_NLP/cache/wikiped... | 2021-04-01T09:21:17Z | https://github.com/huggingface/datasets/issues/2144 | {
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not satisfied with the API, it means as a dataset implementer I need to write a function with boilerplate and write classes for each `<dataset><task>` "facet". | 2021-06-11T13:20:41Z | https://github.com/huggingface/datasets/pull/2143 | {
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- challenge sets for most tasks
- detokenized TurkCorpus to match the rest of the text simplification subtasks
- fixed inputs for TurkCorpus and ASSET test sets
- 18 languages in WikiLingua
cc @sebastianGehrmann | 2021-03-30T00:10:02Z | https://github.com/huggingface/datasets/pull/2142 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Hi @lhoestq
I tried to add spans to the wikiann datasets.
Thanks a lot for kindly having a look.
This addresses https://github.com/huggingface/datasets/issues/2130.
Best regards
Rabeeh | 2021-03-31T13:27:50Z | https://github.com/huggingface/datasets/pull/2141 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | Hi,
Loading a dataset with `load_dataset` using a split defined via `ReadInstruction` and then saving it to disk results in the following error: `TypeError: Object of type ReadInstruction is not JSON serializable`.
Here is the minimal reproducible example:
```python
from datasets import load_dataset
from dat... | 2021-03-30T09:12:53Z | https://github.com/huggingface/datasets/issues/2139 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Add Character Error Rate (CER) metric that is used in evaluation in ASR. I also have written unittests (hopefully thorough enough) but I'm not sure how to integrate them into the existed codebase.
```python
from cer import CER
cer = CER()
class TestCER(unittest.TestCase):
def test_cer_case_senstive(self)... | 2021-04-06T16:16:11Z | https://github.com/huggingface/datasets/pull/2138 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | This should fix issue #2131
When calling `load_dataset` at the same time from 2 workers, one of the worker could have missing split infos when reloading the dataset from the cache.
| 2021-03-31T10:35:56Z | https://github.com/huggingface/datasets/pull/2137 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Hi
I need mlqa-translate-train.en dataset, but it is missing from the MLQA dataset. could you have a look please? @lhoestq thank you for your help to fix this issue. | 2021-03-30T10:20:23Z | https://github.com/huggingface/datasets/issues/2135 | {
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Recently I've been working on medium to large size datasets (pretokenized raw text sizes from few gigabytes to low tens of gigabytes), and have found out that several preprocessing steps are massively faster when done in memory, and I have the ability to requisition a lot of RAM, so... | 2021-05-03T17:59:21Z | https://github.com/huggingface/datasets/issues/2134 | {
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Looking into MLQA dataset for langauge "ar":
```
"question": [
"\u0645\u062a\u0649 \u0628\u062f\u0627\u062a \u0627\u0644\u0645\u062c\u0644\u0629 \u0627\u0644\u0645\u062f\u0631\u0633\u064a\u0629 \u0641\u064a \u0646\u0648\u062a\u0631\u062f\u0627\u0645 \u0628\u0627\u0644\u0646\u0634\u0631?",
"\u0643\u0... | 2021-03-30T17:40:57Z | https://github.com/huggingface/datasets/issues/2133 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | Hi @lhoestq
Currently TydiQA is mixed and user can only access the whole training set of all languages:
https://www.tensorflow.org/datasets/catalog/tydi_qa
for using this dataset, one need to train/evaluate in each separate language, and having them mixed, makes it hard to use this dataset. This is much convenien... | 2021-04-04T09:57:15Z | https://github.com/huggingface/datasets/issues/2132 | {
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met a very strange error, I am training large scale language model, and need train on 2 machines(workers).
And sometimes I will get this error `TypeError: 'NoneType' object is not iterable`
This is traceback
```
71 | | Traceback (most recent call last):
-- | -- | --
72 | | File "run_gpt.py"... | 2021-04-10T11:08:55Z | https://github.com/huggingface/datasets/issues/2131 | {
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Wikiann dataset needs to have "spans" columns, which is necessary to be able to use this dataset, but this column is missing from huggingface datasets, could you please have a look? thank you @lhoestq | 2021-08-27T14:44:18Z | https://github.com/huggingface/datasets/issues/2130 | {
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I'm trying to pretrain the BERT model with next sentence prediction. Is there any function that supports next sentence prediction
like ` TextDatasetForNextSentencePrediction` of `huggingface/transformers` ?
| 2021-04-01T04:58:40Z | https://github.com/huggingface/datasets/issues/2129 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Hi @yjernite, thank you for adding MultiWoZ 2.2 in the huggingface datasets platform. It is beneficial!
I spot an error that the order of Dialogue action slot names and values are reversed.
https://github.com/huggingface/datasets/blob/649b2c469779bc4221e1b6969aa2496d63eb5953/datasets/multi_woz_v22/multi_woz_v22.p... | 2021-03-31T12:48:01Z | https://github.com/huggingface/datasets/issues/2128 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | This PR extends the cloud storage documentation. To show you can use a different `fsspec` implementation. | 2021-03-29T12:16:24Z | https://github.com/huggingface/datasets/pull/2127 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | The title says it all (motivated by [this issue](https://github.com/pytorch/pytorch/issues/53146) in the pytorch repo). | 2021-03-29T09:27:14Z | https://github.com/huggingface/datasets/pull/2126 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | Using `timit_asr` dataset, I saw all records are the same.
``` python
from datasets import load_dataset, load_metric
timit = load_dataset("timit_asr")
from datasets import ClassLabel
import random
import pandas as pd
from IPython.display import display, HTML
def show_random_elements(dataset, num_example... | 2021-03-28T12:29:25Z | https://github.com/huggingface/datasets/issues/2125 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | @lhoestq Hi I am thinking of adding this new google library to do the MIPS similar to **add_faiss_idex**. As the paper suggests, it is really fast when it comes to retrieving the nearest neighbors.
https://github.com/google-research/google-research/tree/master/scann
![image](https://user-images.githubusercontent... | 2021-03-29T13:23:43Z | https://github.com/huggingface/datasets/issues/2124 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | @yjernite
### Summary
I am currently working on the GEM datasets and do not manage to download the wiki_auto_asset_turk data, whereas all other datasets download well with the same code.
### Steps to reproduce
Code snippet:
from datasets import load_dataset
#dataset = load_dataset('gem', 'web_nlg_en')
d... | 2021-05-12T16:15:18Z | https://github.com/huggingface/datasets/issues/2123 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | ## Intro
This should fix issue #1803
Currently querying examples in a dataset is O(n) because of the underlying pyarrow ChunkedArrays implementation.
To fix this I implemented interpolation search that is pretty effective since datasets usually verifies the condition of evenly distributed chunks (the default ch... | 2021-08-04T18:11:59Z | https://github.com/huggingface/datasets/pull/2122 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Hi @lhoestq, @yjernite
This is a simple Readme parser. All classes specific to different sections can inherit `Section` class, and we can define more attributes in each.
Let me know if this is going in the right direction :)
Currently the output looks like this, for `to_dict()` on `FashionMNIST` `README.md`:
... | 2021-05-10T13:17:18Z | https://github.com/huggingface/datasets/pull/2121 | {
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"gists_url"... | dataset viewer does not work anymore | https://api.github.com/repos/huggingface/datasets/issues/2120/events | null | https://api.github.com/repos/huggingface/datasets/issues/2120/labels{/name} | 2021-03-26T13:22:13Z | null | false | null | null | 841,954,521 | [
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] | https://api.github.com/repos/huggingface/datasets | NONE | Hi
I normally use this link to see all datasets and how I can load them
https://huggingface.co/datasets/viewer/
Now I am getting
502 Bad Gateway
nginx/1.18.0 (Ubuntu)
could you bring this webpage back ? this was very helpful @lhoestq
thanks for your help | 2021-03-26T15:52:22Z | https://github.com/huggingface/datasets/issues/2120 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Fixes: https://github.com/huggingface/datasets/issues/2115
- bug fix: using envrion.copy() returns a dict.
- using deepcopy(environ) returns an `_environ` object
- Changing the datatype of the _environ object can break code, if subsequent libraries perform operations using apis exclusive to the environ object, lik... | 2021-03-26T15:13:52Z | https://github.com/huggingface/datasets/pull/2119 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Replace `os.environ.copy` with in-place modification
Fixes #2115 | 2021-03-26T12:03:23Z | https://github.com/huggingface/datasets/pull/2118 | {
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