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https://api.github.com/repos/huggingface/datasets/issues/2187 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2187/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2187/comments | https://api.github.com/repos/huggingface/datasets/issues/2187/events | https://github.com/huggingface/datasets/issues/2187 | 852,939,736 | MDU6SXNzdWU4NTI5Mzk3MzY= | 2,187 | Question (potential issue?) related to datasets caching | {
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] | open | false | null | [] | null | 12 | 2021-04-08T00:16:28 | 2021-04-14T14:55:58 | null | NONE | null | null | null | I thought I had disabled datasets caching in my code, as follows:
```
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... | {
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- 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 | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2184 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2184/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2184/comments | https://api.github.com/repos/huggingface/datasets/issues/2184/events | https://github.com/huggingface/datasets/pull/2184 | 852,597,258 | MDExOlB1bGxSZXF1ZXN0NjEwODIxMTc0 | 2,184 | Implementation of class_encode_column | {
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I'm happy to discuss the API and internals! | {
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https://api.github.com/repos/huggingface/datasets/issues/2183 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2183/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2183/comments | https://api.github.com/repos/huggingface/datasets/issues/2183/events | https://github.com/huggingface/datasets/pull/2183 | 852,518,411 | MDExOlB1bGxSZXF1ZXN0NjEwNzU3MjUz | 2,183 | Fix s3fs tests for py36 and py37+ | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2182 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2182/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2182/comments | https://api.github.com/repos/huggingface/datasets/issues/2182/events | https://github.com/huggingface/datasets/pull/2182 | 852,384,872 | MDExOlB1bGxSZXF1ZXN0NjEwNjQ2MDIy | 2,182 | Set default in-memory value depending on the dataset size | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2181 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2181/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2181/comments | https://api.github.com/repos/huggingface/datasets/issues/2181/events | https://github.com/huggingface/datasets/issues/2181 | 852,261,607 | MDU6SXNzdWU4NTIyNjE2MDc= | 2,181 | Error when loading a HUGE json file (pyarrow.lib.ArrowInvalid: straddling object straddles two block boundaries) | {
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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... | {
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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... | {
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"merged_at": "2021-04-13T09:28... | The `cast` operation on a pyarrow Table may create new arrays in memory.
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, ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2177 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2177/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2177/comments | https://api.github.com/repos/huggingface/datasets/issues/2177/events | https://github.com/huggingface/datasets/pull/2177 | 852,065,307 | MDExOlB1bGxSZXF1ZXN0NjEwMzc5MDYx | 2,177 | add social thumbnial | {
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"merged_at": "2021-04-07T08:16... | # What does this PR do?
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... | {
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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! | {
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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_... | {
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https://api.github.com/repos/huggingface/datasets/issues/2174 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2174/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2174/comments | https://api.github.com/repos/huggingface/datasets/issues/2174/events | https://github.com/huggingface/datasets/pull/2174 | 851,383,675 | MDExOlB1bGxSZXF1ZXN0NjA5ODE2OTQ2 | 2,174 | Pin docutils for better doc | {
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"merged_at": "2021-04-06T12:55... | The latest release of docutils make the navbar in the documentation weird and the Markdown wrongly interpreted:
We had the same problem in Transformers and solved it by pinning docutils (a dep of sphinx... | {
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https://api.github.com/repos/huggingface/datasets/issues/2173 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2173/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2173/comments | https://api.github.com/repos/huggingface/datasets/issues/2173/events | https://github.com/huggingface/datasets/pull/2173 | 851,359,284 | MDExOlB1bGxSZXF1ZXN0NjA5Nzk2NzI2 | 2,173 | Add OpenSLR dataset | {
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I'm pinning `fsspec` until this has been resolved | {
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https://api.github.com/repos/huggingface/datasets/issues/2171 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2171/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2171/comments | https://api.github.com/repos/huggingface/datasets/issues/2171/events | https://github.com/huggingface/datasets/pull/2171 | 851,090,662 | MDExOlB1bGxSZXF1ZXN0NjA5NTY4MDcw | 2,171 | Fixed the link to wikiauto training data. | {
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https://api.github.com/repos/huggingface/datasets/issues/2170 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2170/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2170/comments | https://api.github.com/repos/huggingface/datasets/issues/2170/events | https://github.com/huggingface/datasets/issues/2170 | 850,913,228 | MDU6SXNzdWU4NTA5MTMyMjg= | 2,170 | Wikipedia historic dumps are deleted but hf/datasets hardcodes dump date | {
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```
20201220/ 02-Feb-2021 01:36 -
20210101/ 21-Feb-2021 01:26 -
20210120/ ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2169 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2169/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2169/comments | https://api.github.com/repos/huggingface/datasets/issues/2169/events | https://github.com/huggingface/datasets/pull/2169 | 850,456,180 | MDExOlB1bGxSZXF1ZXN0NjA5MDI2ODUz | 2,169 | Updated WER metric implementation to avoid memory issues | {
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} | This is in order to fix this issue:
https://github.com/huggingface/datasets/issues/2078
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https://api.github.com/repos/huggingface/datasets/issues/2168 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2168/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2168/comments | https://api.github.com/repos/huggingface/datasets/issues/2168/events | https://github.com/huggingface/datasets/pull/2168 | 849,957,941 | MDExOlB1bGxSZXF1ZXN0NjA4NjA4Nzg5 | 2,168 | Preserve split type when realoding dataset | {
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"merged_at": "2021-04-19T09:08... | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2167 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2167/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2167/comments | https://api.github.com/repos/huggingface/datasets/issues/2167/events | https://github.com/huggingface/datasets/issues/2167 | 849,944,891 | MDU6SXNzdWU4NDk5NDQ4OTE= | 2,167 | Split type not preserved when reloading the dataset | {
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```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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2166 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2166/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2166/comments | https://api.github.com/repos/huggingface/datasets/issues/2166/events | https://github.com/huggingface/datasets/issues/2166 | 849,778,545 | MDU6SXNzdWU4NDk3Nzg1NDU= | 2,166 | Regarding Test Sets for the GEM datasets | {
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] | closed | false | null | [] | null | 2 | 2021-04-04T02:02:45 | 2021-04-06T08:13:12 | 2021-04-06T08:13:12 | NONE | null | null | null | @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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2165 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2165/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2165/comments | https://api.github.com/repos/huggingface/datasets/issues/2165/events | https://github.com/huggingface/datasets/issues/2165 | 849,771,665 | MDU6SXNzdWU4NDk3NzE2NjU= | 2,165 | How to convert datasets.arrow_dataset.Dataset to torch.utils.data.Dataset | {
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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(
... | {
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https://api.github.com/repos/huggingface/datasets/issues/2163 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2163/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2163/comments | https://api.github.com/repos/huggingface/datasets/issues/2163/events | https://github.com/huggingface/datasets/pull/2163 | 849,669,366 | MDExOlB1bGxSZXF1ZXN0NjA4Mzk0NDMz | 2,163 | Concat only unique fields in DatasetInfo.from_merge | {
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"merged_at": "2021-04-06T14:39... | I thought someone from the community with less experience would be interested in fixing this issue, but that wasn't the case.
Fixes #2103 | {
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visualization through dataset viewer for cc100 is broken
https://huggingface.co/datasets/viewer/
thanks a lot
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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 | {
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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 ... | {
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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... | {
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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... | {
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} | Updated user permissions based on running user's umask. Let me know if `0o666` is looking good or should I change it to `~umask` only (to give execute permissions as well) | {
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cc @albertvillanova | {
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I'm using datasets 1.5.0
As you can see, when I load the dataset, the C... | {
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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. | {
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https://api.github.com/repos/huggingface/datasets/issues/2149 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2149/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2149/comments | https://api.github.com/repos/huggingface/datasets/issues/2149/events | https://github.com/huggingface/datasets/issues/2149 | 844,734,076 | MDU6SXNzdWU4NDQ3MzQwNzY= | 2,149 | Telugu subset missing for xtreme tatoeba dataset | {
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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 ... | {
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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... | {
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See e.g. current docs for `Dataset.to_csv`. | {
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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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Close #1954. | {
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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... | {
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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". | {
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https://api.github.com/repos/huggingface/datasets/issues/2142 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2142/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2142/comments | https://api.github.com/repos/huggingface/datasets/issues/2142/events | https://github.com/huggingface/datasets/pull/2142 | 843,919,420 | MDExOlB1bGxSZXF1ZXN0NjAzMjQwMzUy | 2,142 | Gem V1.1 | {
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"merged_at": "2021-03-30T00:10... | This branch updates the GEM benchmark to its 1.1 version which includes:
- 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 | {
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https://api.github.com/repos/huggingface/datasets/issues/2141 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2141/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2141/comments | https://api.github.com/repos/huggingface/datasets/issues/2141/events | https://github.com/huggingface/datasets/pull/2141 | 843,914,790 | MDExOlB1bGxSZXF1ZXN0NjAzMjM2MjUw | 2,141 | added spans field for the wikiann datasets | {
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"merged_at": "2021-03-31T13:27... | 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 | {
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https://api.github.com/repos/huggingface/datasets/issues/2140 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2140/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2140/comments | https://api.github.com/repos/huggingface/datasets/issues/2140/events | https://github.com/huggingface/datasets/pull/2140 | 843,830,451 | MDExOlB1bGxSZXF1ZXN0NjAzMTYxMjYx | 2,140 | add banking77 dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/2139 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2139/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2139/comments | https://api.github.com/repos/huggingface/datasets/issues/2139/events | https://github.com/huggingface/datasets/issues/2139 | 843,662,613 | MDU6SXNzdWU4NDM2NjI2MTM= | 2,139 | TypeError when using save_to_disk in a dataset loaded with ReadInstruction split | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2138 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2138/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2138/comments | https://api.github.com/repos/huggingface/datasets/issues/2138/events | https://github.com/huggingface/datasets/pull/2138 | 843,508,402 | MDExOlB1bGxSZXF1ZXN0NjAyODc4NzU2 | 2,138 | Add CER metric | {
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```python
from cer import CER
cer = CER()
class TestCER(unittest.TestCase):
def test_cer_case_senstive(self)... | {
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https://api.github.com/repos/huggingface/datasets/issues/2137 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2137/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2137/comments | https://api.github.com/repos/huggingface/datasets/issues/2137/events | https://github.com/huggingface/datasets/pull/2137 | 843,502,835 | MDExOlB1bGxSZXF1ZXN0NjAyODc0MDYw | 2,137 | Fix missing infos from concurrent dataset loading | {
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"merged_at": "2021-03-31T10:35... | 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.
| {
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https://api.github.com/repos/huggingface/datasets/issues/2135 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2135/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2135/comments | https://api.github.com/repos/huggingface/datasets/issues/2135/events | https://github.com/huggingface/datasets/issues/2135 | 843,246,344 | MDU6SXNzdWU4NDMyNDYzNDQ= | 2,135 | en language data from MLQA dataset is missing | {
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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. | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2133 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2133/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2133/comments | https://api.github.com/repos/huggingface/datasets/issues/2133/events | https://github.com/huggingface/datasets/issues/2133 | 843,149,680 | MDU6SXNzdWU4NDMxNDk2ODA= | 2,133 | bug in mlqa dataset | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2132 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2132/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2132/comments | https://api.github.com/repos/huggingface/datasets/issues/2132/events | https://github.com/huggingface/datasets/issues/2132 | 843,142,822 | MDU6SXNzdWU4NDMxNDI4MjI= | 2,132 | TydiQA dataset is mixed and is not split per language | {
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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... | {
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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"... | {
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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 | {
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https://api.github.com/repos/huggingface/datasets/issues/2129 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2129/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2129/comments | https://api.github.com/repos/huggingface/datasets/issues/2129/events | https://github.com/huggingface/datasets/issues/2129 | 843,033,656 | MDU6SXNzdWU4NDMwMzM2NTY= | 2,129 | How to train BERT model with next sentence prediction? | {
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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` ?
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2126 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2126/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2126/comments | https://api.github.com/repos/huggingface/datasets/issues/2126/events | https://github.com/huggingface/datasets/pull/2126 | 842,779,966 | MDExOlB1bGxSZXF1ZXN0NjAyMjcyMjg4 | 2,126 | Replace legacy torch.Tensor constructor with torch.tensor | {
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"merged_at": "2021-03-29T09:27... | The title says it all (motivated by [this issue](https://github.com/pytorch/pytorch/issues/53146) in the pytorch repo). | {
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https://api.github.com/repos/huggingface/datasets/issues/2125 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2125/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2125/comments | https://api.github.com/repos/huggingface/datasets/issues/2125/events | https://github.com/huggingface/datasets/issues/2125 | 842,690,570 | MDU6SXNzdWU4NDI2OTA1NzA= | 2,125 | Is dataset timit_asr broken? | {
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``` 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2124 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2124/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2124/comments | https://api.github.com/repos/huggingface/datasets/issues/2124/events | https://github.com/huggingface/datasets/issues/2124 | 842,627,729 | MDU6SXNzdWU4NDI2Mjc3Mjk= | 2,124 | Adding ScaNN library to do MIPS? | {
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https://github.com/google-research/google-research/tree/master/scann
![image](https://user-images.githubusercontent... | {
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https://api.github.com/repos/huggingface/datasets/issues/2123 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2123/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2123/comments | https://api.github.com/repos/huggingface/datasets/issues/2123/events | https://github.com/huggingface/datasets/issues/2123 | 842,577,285 | MDU6SXNzdWU4NDI1NzcyODU= | 2,123 | Problem downloading GEM wiki_auto_asset_turk dataset | {
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### 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2122 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2122/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2122/comments | https://api.github.com/repos/huggingface/datasets/issues/2122/events | https://github.com/huggingface/datasets/pull/2122 | 842,194,588 | MDExOlB1bGxSZXF1ZXN0NjAxODE3MjI0 | 2,122 | Fast table queries with interpolation search | {
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"merged_at": "2021-04-06T14:33... | ## 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2121 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2121/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2121/comments | https://api.github.com/repos/huggingface/datasets/issues/2121/events | https://github.com/huggingface/datasets/pull/2121 | 842,148,633 | MDExOlB1bGxSZXF1ZXN0NjAxNzc4NDc4 | 2,121 | Add Validation For README | {
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"merged_at": "2021-05-10T09:41... | 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`:
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https://api.github.com/repos/huggingface/datasets/issues/2120 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2120/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2120/comments | https://api.github.com/repos/huggingface/datasets/issues/2120/events | https://github.com/huggingface/datasets/issues/2120 | 841,954,521 | MDU6SXNzdWU4NDE5NTQ1MjE= | 2,120 | dataset viewer does not work anymore | {
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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 | {
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https://api.github.com/repos/huggingface/datasets/issues/2119 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2119/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2119/comments | https://api.github.com/repos/huggingface/datasets/issues/2119/events | https://github.com/huggingface/datasets/pull/2119 | 841,567,199 | MDExOlB1bGxSZXF1ZXN0NjAxMjg2MjIy | 2,119 | copy.deepcopy os.environ instead of copy | {
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- 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/2118 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2118/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2118/comments | https://api.github.com/repos/huggingface/datasets/issues/2118/events | https://github.com/huggingface/datasets/pull/2118 | 841,563,329 | MDExOlB1bGxSZXF1ZXN0NjAxMjgzMDUx | 2,118 | Remove os.environ.copy in Dataset.map | {
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} | Replace `os.environ.copy` with in-place modification
Fixes #2115 | {
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https://api.github.com/repos/huggingface/datasets/issues/2117 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2117/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2117/comments | https://api.github.com/repos/huggingface/datasets/issues/2117/events | https://github.com/huggingface/datasets/issues/2117 | 841,535,283 | MDU6SXNzdWU4NDE1MzUyODM= | 2,117 | load_metric from local "glue.py" meet error 'NoneType' object is not callable | {
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dataset = load_dataset(path='/home/glue.py', name=actual_task)
metric = load_metric(path='/home/glue.py', name=actual_task)
---------------------------------------------------------------------------
TypeError Traceback (most recent... | {
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https://api.github.com/repos/huggingface/datasets/issues/2116 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2116/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2116/comments | https://api.github.com/repos/huggingface/datasets/issues/2116/events | https://github.com/huggingface/datasets/issues/2116 | 841,481,292 | MDU6SXNzdWU4NDE0ODEyOTI= | 2,116 | Creating custom dataset results in error while calling the map() function | {
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Reproducible example:
```
import datasets
class MyDataset(datasets.Dataset):
def __init__(self, sentences):
"Initialization"
self.samples = sentences
def __len__(self):
"Denotes the ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2115 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2115/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2115/comments | https://api.github.com/repos/huggingface/datasets/issues/2115/events | https://github.com/huggingface/datasets/issues/2115 | 841,283,974 | MDU6SXNzdWU4NDEyODM5NzQ= | 2,115 | The datasets.map() implementation modifies the datatype of os.environ object | {
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This causes following function calls to fail as follows:
`
x = os.environ.get("TEST_ENV_VARIABLE_AFTER_dataset_map", default=None)
TypeError: get() takes... | {
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https://api.github.com/repos/huggingface/datasets/issues/2114 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2114/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2114/comments | https://api.github.com/repos/huggingface/datasets/issues/2114/events | https://github.com/huggingface/datasets/pull/2114 | 841,207,878 | MDExOlB1bGxSZXF1ZXN0NjAwOTc1MTA3 | 2,114 | Support for legal NLP datasets (EURLEX, ECtHR cases and EU-REG-IR) | {
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"merged_at": "2021-03-31T10:38... | Add support for two legal NLP datasets:
- EURLEX (https://www.aclweb.org/anthology/P19-1636/)
- ECtHR cases (https://arxiv.org/abs/2103.13084)
- EU-REG-IR (https://arxiv.org/abs/2101.10726) | {
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This will avoid
> During handling of the above exception, another exception occurred: | {
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https://api.github.com/repos/huggingface/datasets/issues/2112 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2112/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2112/comments | https://api.github.com/repos/huggingface/datasets/issues/2112/events | https://github.com/huggingface/datasets/pull/2112 | 841,098,008 | MDExOlB1bGxSZXF1ZXN0NjAwODgyMjA0 | 2,112 | Support for legal NLP datasets (EURLEX and ECtHR cases) | {
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- EURLEX (https://www.aclweb.org/anthology/P19-1636/)
- ECtHR cases (https://arxiv.org/abs/2103.13084) | {
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Fix #2078. | {
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https://api.github.com/repos/huggingface/datasets/issues/2110 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2110/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2110/comments | https://api.github.com/repos/huggingface/datasets/issues/2110/events | https://github.com/huggingface/datasets/pull/2110 | 840,794,995 | MDExOlB1bGxSZXF1ZXN0NjAwNjI1NDQ5 | 2,110 | Fix incorrect assertion in builder.py | {
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https://api.github.com/repos/huggingface/datasets/issues/2109 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2109/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2109/comments | https://api.github.com/repos/huggingface/datasets/issues/2109/events | https://github.com/huggingface/datasets/pull/2109 | 840,746,598 | MDExOlB1bGxSZXF1ZXN0NjAwNTg1MzM5 | 2,109 | Add more issue templates and customize issue template chooser | {
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"merged_at": "2021-04-19T06:20... | When opening an issue, it is not evident for the users how to choose a blank issue template. There is a link at the bottom of all the other issue templates (`Don’t see your issue here? Open a blank issue.`), but this is not very visible for users. This is the reason why many users finally chose the `add-dataset` templa... | {
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] | open | false | null | [] | null | 0 | 2021-03-24T21:32:16 | 2021-03-25T06:31:43 | null | NONE | null | null | null | Motivation - Some FAISS indexes like IVF consist of the training step that clusters the dataset into a given number of indexes. It would be nice if we can use a GPU to do the training step and covert the index back to CPU as mention in [this faiss example](https://gist.github.com/mdouze/46d6bbbaabca0b9778fca37ed2bcccf6... | {
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- ci script to validate new changes against this schema and start a vertuous loop
- soft validation on tasks ids since we expect the taxonomy to undergo some changes in the near future
for reference with the current validation we have ~365... | {
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https://api.github.com/repos/huggingface/datasets/issues/2106 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2106/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2106/comments | https://api.github.com/repos/huggingface/datasets/issues/2106/events | https://github.com/huggingface/datasets/issues/2106 | 839,084,264 | MDU6SXNzdWU4MzkwODQyNjQ= | 2,106 | WMT19 Dataset for Kazakh-English is not formatted correctly | {
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] | open | false | null | [] | null | 1 | 2021-03-23T20:14:47 | 2021-03-25T21:36:20 | null | NONE | null | null | null | In addition to the bug of languages being switched from Issue @415, there are incorrect translations in the dataset because the English-Kazakh translations have a one off formatting error.
The News Commentary v14 parallel data set for kk-en from http://www.statmt.org/wmt19/translation-task.html has a bug here:
> ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2104 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2104/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2104/comments | https://api.github.com/repos/huggingface/datasets/issues/2104/events | https://github.com/huggingface/datasets/issues/2104 | 839,027,834 | MDU6SXNzdWU4MzkwMjc4MzQ= | 2,104 | Trouble loading wiki_movies | {
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I am trying to load_dataset("wiki_movies") and it gives me this error -
`FileNotFoundError: Couldn't find file locally at wiki_movies/wiki_movies.py, or remotely at https://raw.githubusercontent.com/huggingface/datasets/1.1.2/datasets/wiki_movies/wiki_movies.py or https://s3.amazonaws.com/datasets.huggingfa... | {
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https://api.github.com/repos/huggingface/datasets/issues/2103 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2103/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2103/comments | https://api.github.com/repos/huggingface/datasets/issues/2103/events | https://github.com/huggingface/datasets/issues/2103 | 838,946,916 | MDU6SXNzdWU4Mzg5NDY5MTY= | 2,103 | citation, homepage, and license fields of `dataset_info.json` are duplicated many times | {
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Example result:
```
"citation": "@ONLINE {wikidump,\n author = {Wikimedia Foundation},\n title = {... | {
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https://api.github.com/repos/huggingface/datasets/issues/2101 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2101/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2101/comments | https://api.github.com/repos/huggingface/datasets/issues/2101/events | https://github.com/huggingface/datasets/pull/2101 | 838,586,184 | MDExOlB1bGxSZXF1ZXN0NTk4NzQzMDM4 | 2,101 | MIAM dataset - new citation details | {
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https://api.github.com/repos/huggingface/datasets/issues/2100 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2100/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2100/comments | https://api.github.com/repos/huggingface/datasets/issues/2100/events | https://github.com/huggingface/datasets/pull/2100 | 838,574,631 | MDExOlB1bGxSZXF1ZXN0NTk4NzMzOTM0 | 2,100 | Fix deprecated warning message and docstring | {
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https://api.github.com/repos/huggingface/datasets/issues/2099 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2099/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2099/comments | https://api.github.com/repos/huggingface/datasets/issues/2099/events | https://github.com/huggingface/datasets/issues/2099 | 838,523,819 | MDU6SXNzdWU4Mzg1MjM4MTk= | 2,099 | load_from_disk takes a long time to load local dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/2098 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2098/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2098/comments | https://api.github.com/repos/huggingface/datasets/issues/2098/events | https://github.com/huggingface/datasets/issues/2098 | 838,447,959 | MDU6SXNzdWU4Mzg0NDc5NTk= | 2,098 | SQuAD version | {
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I want train on squad dataset. What's the version of the squad? Is it 1.1 or 1.0? I'm new in QA, I don't find some descriptions about it. | {
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https://api.github.com/repos/huggingface/datasets/issues/2097 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2097/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2097/comments | https://api.github.com/repos/huggingface/datasets/issues/2097/events | https://github.com/huggingface/datasets/pull/2097 | 838,105,289 | MDExOlB1bGxSZXF1ZXN0NTk4MzM4MTA3 | 2,097 | fixes issue #1110 by descending further if `obj["_type"]` is a dict | {
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I was wondering if there is a reason why the German CoNLL 2003 dataset is not included in the [repository](https://github.com/huggingface/datasets/tree/master/datasets/conll2003), since a copy of it ... | {
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It's a simple fix, but i am not sure if it works for all possible types of `obj`. Let me know what you think @lhoestq | {
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https://api.github.com/repos/huggingface/datasets/issues/2090 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2090/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2090/comments | https://api.github.com/repos/huggingface/datasets/issues/2090/events | https://github.com/huggingface/datasets/pull/2090 | 836,807,498 | MDExOlB1bGxSZXF1ZXN0NTk3MjgwNTEy | 2,090 | Add machine translated multilingual STS benchmark dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/2089 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2089/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2089/comments | https://api.github.com/repos/huggingface/datasets/issues/2089/events | https://github.com/huggingface/datasets/issues/2089 | 836,788,019 | MDU6SXNzdWU4MzY3ODgwMTk= | 2,089 | Add documentaton for dataset README.md files | {
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the dataset README files have special headers.
Somehow a documenation of the allowed values and tags is missing.
Could you add that?
Just to give some concrete questions that should be answered imo:
- which values can be passted to multilinguality?
- what should be passed to language_creators?
- which valu... | {
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https://api.github.com/repos/huggingface/datasets/issues/2088 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2088/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2088/comments | https://api.github.com/repos/huggingface/datasets/issues/2088/events | https://github.com/huggingface/datasets/pull/2088 | 836,763,733 | MDExOlB1bGxSZXF1ZXN0NTk3MjQ4Mzk1 | 2,088 | change bibtex template to author instead of authors | {
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IMO when using BibTex Author should be used instead of Authors.
See here: http://www.bibtex.org/Using/de/
Thanks
Philip | {
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https://api.github.com/repos/huggingface/datasets/issues/2087 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2087/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2087/comments | https://api.github.com/repos/huggingface/datasets/issues/2087/events | https://github.com/huggingface/datasets/pull/2087 | 836,587,392 | MDExOlB1bGxSZXF1ZXN0NTk3MDg4NTk2 | 2,087 | Update metadata if dataset features are modified | {
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Fixes #2083
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