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] | https://api.github.com/repos/huggingface/datasets | MEMBER | As asked in #1892 I created mirrors of the data hosted on statmt.org and updated the wmt scripts.
Now downloading the wmt datasets is blazing fast :)
cc @stas00 @patrickvonplaten | 2021-02-24T13:44:53Z | https://github.com/huggingface/datasets/pull/1912 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | I have a text dataset of size 220M.
For pre-processing, I need to tokenize this and filter rows with the large sequence.
My tokenization took roughly 3hrs. I used map() with batch size 1024 and multi-process with 96 processes.
filter() function was way to slow, so I used a hack to use pyarrow filter table func... | 2021-02-23T07:34:44Z | https://github.com/huggingface/datasets/issues/1911 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Hi there!!!
I've been using successfully the DBPedia dataset (https://huggingface.co/datasets/dbpedia_14) with my codebase in the last couple of weeks, but in the last couple of days now I get this error:
```
Traceback (most recent call last):
File "./conditional_classification/basic_pipeline.py", line 178, i... | 2021-02-22T23:22:05Z | https://github.com/huggingface/datasets/issues/1907 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | ```
from datasets import Dataset
import pandas as pd
import pyarrow
df = pd.DataFrame(pd.Series(["a", "b", "c", "a"], dtype="category"))
pyarrow.Table.from_pandas(df)
Dataset.from_pandas(df)
# Throws NotImplementedError
# TODO(thom) this will need access to the dictionary as well (for labels). I.e. to the py_... | 2021-02-23T14:38:50Z | https://github.com/huggingface/datasets/issues/1906 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | This PR was further branched off of jdy-str-to-pyarrow-parsing, so it depends on https://github.com/huggingface/datasets/pull/1900 going first for the diff to be up-to-date (I'm not sure if there's a way for me to use jdy-str-to-pyarrow-parsing as a base branch while having it appear in the pull requests here).
This... | 2021-02-20T22:01:30Z | https://github.com/huggingface/datasets/pull/1905 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | As noticed in #1887 the conversion of a dataset with a boolean ArrayXD feature types fails because of the underlying ListArray conversion to numpy requires `zero_copy_only=False`.
zero copy is available for all primitive types except booleans
see https://arrow.apache.org/docs/python/generated/pyarrow.Array.html#pya... | 2021-02-18T17:10:03Z | https://github.com/huggingface/datasets/pull/1904 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Below points needs to be addressed:
- Creation of dummy dataset is failing
- Need to check on the data representation
- License is not creative commons. Copyright: Portions © 1993 Trustees of the University of Pennsylvania
Also the links (_except the download_) point to the ami corpus! ;-)
@patrickvonplaten ... | 2021-03-01T09:39:12Z | https://github.com/huggingface/datasets/pull/1903 | {
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Some other urls were missing https | 2021-02-18T09:55:41Z | https://github.com/huggingface/datasets/pull/1902 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Replace http to https.
https://github.com/huggingface/datasets/issues/854
https://discuss.huggingface.co/t/cannot-download-wmt16/2081
| 2021-02-18T15:07:20Z | https://github.com/huggingface/datasets/pull/1901 | {
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The main part of this PR adds additional parsing in `string_to_arrow` to convert the timestamp dtypes that result from `str(pa_type)` back into the pa.DataType TimestampType.
While adding unit-testing, I noticed that support for the double/float t... | 2021-02-19T18:27:11Z | https://github.com/huggingface/datasets/pull/1900 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | As noticed in #1898 by @10-zin the examples of the `alt-paralel` configurations have all the same values for the `translation` field.
This was due to a bad copy of a python dict.
This PR fixes that. | 2021-02-17T17:20:49Z | https://github.com/huggingface/datasets/pull/1899 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | The [ALT](https://huggingface.co/datasets/alt) dataset has all the same instances within each split :/
Seemed like a great dataset for some experiments I wanted to carry out, especially since its medium-sized, and has all splits.
Would be great if this could be fixed :)
Added a snapshot of the contents from `exp... | 2021-02-19T06:18:46Z | https://github.com/huggingface/datasets/issues/1898 | {
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However previously pandas.core.internals.ExtensionBlock.to_native_types would fail with an PandasExtensionArray because
1. the PandasExtensionArray.isna metho... | 2021-02-17T13:15:16Z | https://github.com/huggingface/datasets/pull/1897 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Repro:
```
from datasets import Dataset
import pandas as pd
import pyarrow
df = pd.DataFrame(pd.date_range("2018-01-01", periods=3, freq="H"))
pyarrow.Table.from_pandas(df)
Dataset.from_pandas(df)
# Throws ValueError: Neither timestamp[ns] nor timestamp[ns]_ seems to be a pyarrow data type.
```
The fact... | 2021-02-19T18:27:11Z | https://github.com/huggingface/datasets/issues/1895 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | I am trying to benchmark my datasets based implementation against fairseq's [`MMapIndexedDataset`](https://github.com/pytorch/fairseq/blob/master/fairseq/data/indexed_dataset.py#L365) and finding that, according to psrecord, my `datasets` implem uses about 3% more CPU memory and runs 1% slower for `wikitext103` (~1GB o... | 2021-02-17T18:52:28Z | https://github.com/huggingface/datasets/issues/1894 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | 1. Check which lang pairs we have: `--dataset_name wmt19`:
Please pick one among the available configs: ['cs-en', 'de-en', 'fi-en', 'gu-en', 'kk-en', 'lt-en', 'ru-en', 'zh-en', 'fr-de']
2. OK, let's pick `ru-en`:
`--dataset_name wmt19 --dataset_config "ru-en"`
no cookies:
```
Traceback (most recent c... | 2021-03-03T17:42:02Z | https://github.com/huggingface/datasets/issues/1893 | {
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Thank you! | 2021-10-26T06:55:42Z | https://github.com/huggingface/datasets/issues/1892 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | I was using `--dataset_name wmt19` all was good. Then thought perhaps wmt20 is out, so I tried to use `--dataset_name wmt20`, got 3 different errors (1 repeated twice), none telling me the real issue - that `wmt20` isn't in the `datasets`:
```
True, predict_with_generate=True)
Traceback (most recent call last):
... | 2022-10-05T12:48:38Z | https://github.com/huggingface/datasets/issues/1891 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | With options to return a generator or the full dataset | 2021-02-18T18:42:37Z | https://github.com/huggingface/datasets/pull/1889 | {
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Close #1872 | 2021-03-30T14:01:03Z | https://github.com/huggingface/datasets/pull/1888 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | cc @thomwolf
`to_csv` supports passing either a file path or a *binary* file object
The writing is batched to avoid loading the whole table in memory | 2021-02-19T09:41:59Z | https://github.com/huggingface/datasets/pull/1887 | {
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To do
Create tagging file
Update the common_voice.py file with more information | 2021-03-09T18:51:31Z | https://github.com/huggingface/datasets/pull/1886 | {
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@lhoestq | 2021-02-16T16:22:19Z | https://github.com/huggingface/datasets/pull/1885 | {
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```python
>>> datasets_list = list_datasets()
>>> print(', '.join(dataset.id for dataset in datasets_list))
```
However, my understanding is that `list_datasets()` returns a list of strings rather than a list of objects. | 2021-02-15T15:09:49Z | https://github.com/huggingface/datasets/pull/1881 | {
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I updated them in this PR | 2021-02-15T14:18:19Z | https://github.com/huggingface/datasets/pull/1880 | {
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This is a first step towards having all NestedDataStructure logic as a separated concern, independent of the caller/user of the data structure.
Eventually, all checks (whether the underlying data is list, dict, etc.) will be only inside this class.
I... | 2021-02-19T18:35:14Z | https://github.com/huggingface/datasets/pull/1879 | {
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As requested by #1841
The ASR format is based on #1767
There are a couple of quirks that should be addressed:
- I tagged this dataset as `other-other-automatic-speech-recognition` and `other-other-text-to-speech` (as classified by pape... | 2021-02-15T19:39:41Z | https://github.com/huggingface/datasets/pull/1878 | {
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Currently there is one assumption that we would need to change: a dataset is either fully in memory (dataset._data_files is empty), or the dataset can be reloaded from disk (using the dataset._data_files).
This assumption is used for pickl... | 2021-03-26T16:51:58Z | https://github.com/huggingface/datasets/issues/1877 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | Hi, it seems that loading the multi_woz_v22 dataset gives a NonMatchingChecksumError.
To reproduce:
`dataset = load_dataset('multi_woz_v22','v2.2_active_only',split='train')`
This will give the following error:
```
raise NonMatchingChecksumError(error_msg + str(bad_urls))
datasets.utils.info_utils.N... | 2021-08-04T18:08:00Z | https://github.com/huggingface/datasets/issues/1876 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Adding SARI metric that is used in evaluation of text simplification. This is required as part of the GEM benchmark. | 2021-02-17T15:56:27Z | https://github.com/huggingface/datasets/pull/1875 | {
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"gist... | Adding Europarl Bilingual dataset | https://api.github.com/repos/huggingface/datasets/issues/1874/events | null | https://api.github.com/repos/huggingface/datasets/issues/1874/labels{/name} | 2021-02-13T17:02:04Z | null | false | null | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Implementation of Europarl bilingual dataset from described [here](https://opus.nlpl.eu/Europarl.php).
This dataset allows to use every language pair detailed in the original dataset. The loading script manages also the small errors contained in the original dataset (in very rare cases (1 over 10M) there are some ke... | 2021-03-04T10:38:22Z | https://github.com/huggingface/datasets/pull/1874 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | `iapp_wiki_qa_squad` is an extractive question answering dataset from Thai Wikipedia articles.
It is adapted from [the original iapp-wiki-qa-dataset](https://github.com/iapp-technology/iapp-wiki-qa-dataset)
to [SQuAD](https://rajpurkar.github.io/SQuAD-explorer/) format, resulting in
5761/742/739 questions from 1529/... | 2021-02-16T14:21:58Z | https://github.com/huggingface/datasets/pull/1873 | {
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https://api.github.com/repos/huggingface/datasets/issues/1872/comments | https://api.github.com/repos/huggingface/datasets/issues/1872/timeline | 2021-03-30T14:01:45Z | null | completed | MDU6SXNzdWU4MDc3MTE5MzU= | closed | [] | null | 1,872 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | Hi,
thanks for the nice library. I'm in the process of creating a custom dataset, which has a mix of tensors and lists of strings. I stumbled upon an error and want to know if its a problem on my side.
I load some lists of strings and integers, then call `data.set_format("torch", columns=["some_integer_column1"... | 2021-03-30T14:01:45Z | https://github.com/huggingface/datasets/issues/1872 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | 2021-03-08T10:12:45Z | https://github.com/huggingface/datasets/pull/1871 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | Implement `Dataset.add_item`.
Close #1854. | 2021-04-23T10:01:31Z | https://github.com/huggingface/datasets/pull/1870 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | Removing the old user commands since `huggingface_hub` is going to be used instead.
cc @julien-c | 2021-02-12T16:13:09Z | https://github.com/huggingface/datasets/pull/1869 | {
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https://api.github.com/repos/huggingface/datasets/issues/1867/comments | https://api.github.com/repos/huggingface/datasets/issues/1867/timeline | 2021-02-24T12:00:43Z | null | completed | MDU6SXNzdWU4MDcxMjcxODE= | closed | [] | null | 1,867 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | Hi, I'm trying to use dataset.set_transform(encode) as @lhoestq told me in this issue: https://github.com/huggingface/datasets/issues/1825#issuecomment-774202797
However, when I try to use Trainer from transformers with such dataset, it throws an error:
```
TypeError: __init__() missing 1 required positional arg... | 2021-03-01T14:04:24Z | https://github.com/huggingface/datasets/issues/1867 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Close #1844
Problems:
- I ran `python datasets-cli test datasets/open_subtitles --save_infos --all_configs`, hence the change in `dataset_infos.json`, but it appears that the metadata features have not been added for all pairs. Any idea why that might be?
- Possibly related to the above, I tried doing `pip uninst... | 2021-02-19T12:38:09Z | https://github.com/huggingface/datasets/pull/1865 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | ## Adding a Dataset
- **Name:** Winogender Schemas
- **Description:** Winogender Schemas (inspired by Winograd Schemas) are minimal pairs of sentences that differ only by the gender of one pronoun in the sentence, designed to test for the presence of gender bias in automated coreference resolution systems.
- **Paper... | 2021-02-11T08:19:51Z | https://github.com/huggingface/datasets/issues/1864 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | ## Adding a Dataset
- **Name:** WikiCREM
- **Description:** A large unsupervised corpus for coreference resolution.
- **Paper:** https://arxiv.org/abs/1905.06290
- **Github repo:**: https://github.com/vid-koci/bert-commonsense
- **Data:** https://ora.ox.ac.uk/objects/uuid:c83e94bb-7584-41a1-aef9-85b0e764d9e3
- **... | 2021-03-07T07:27:13Z | https://github.com/huggingface/datasets/issues/1863 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | As reported in by @corticalstack there is currently an error when we try to save a faiss index on GPU.
I fixed that by checking the index `getDevice()` method before calling `index_gpu_to_cpu`
Close #1859 | 2021-02-10T18:17:48Z | https://github.com/huggingface/datasets/pull/1862 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | The test.json file of the Literal-Motion-in-Text (LiMiT) dataset was removed recently on the master branch of the repo at https://github.com/ilmgut/limit_dataset
This PR uses the previous commit sha to download the file instead, as suggested by @Paethon
Close #1836 | 2021-02-10T16:15:00Z | https://github.com/huggingface/datasets/pull/1861 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | With the new Datasets Hub on huggingface.co it's now possible to have a dataset repo with your own script and data.
For example: https://huggingface.co/datasets/lhoestq/custom_squad/tree/main contains one script and two json files.
You can load it using
```python
from datasets import load_dataset
d = load_data... | 2021-02-12T19:13:30Z | https://github.com/huggingface/datasets/pull/1860 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | Error serializing faiss index. Error as follows:
`Error in void faiss::write_index(const faiss::Index*, faiss::IOWriter*) at /home/conda/feedstock_root/build_artifacts/faiss-split_1612472484670/work/faiss/impl/index_write.cpp:453: don't know how to serialize this type of index`
Note:
`torch.cuda.is_availabl... | 2021-02-10T18:32:12Z | https://github.com/huggingface/datasets/issues/1859 | {
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Remove double getenv calls and fix one issue with rarfile
cc @albertvillanova | 2021-02-10T15:52:30Z | https://github.com/huggingface/datasets/pull/1858 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Hi,
i'm trying to a upload a dataset as described [here](https://huggingface.co/docs/datasets/v1.2.0/share_dataset.html#sharing-a-community-provided-dataset). This is what happens:
```
$ datasets-cli login
$ datasets-cli upload_dataset my_dataset
About to upload file /path/to/my_dataset/dataset_infos.json to S3... | 2021-08-03T05:06:13Z | https://github.com/huggingface/datasets/issues/1857 | {
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https://api.github.com/repos/huggingface/datasets/issues/1856/comments | https://api.github.com/repos/huggingface/datasets/issues/1856/timeline | 2022-03-15T13:55:23Z | null | completed | MDU6SXNzdWU4MDUzNjAyMDA= | closed | [] | null | 1,856 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | Hi, it seems that loading the amazon_polarity dataset gives a NonMatchingChecksumError.
To reproduce:
```
load_dataset("amazon_polarity")
```
This will give the following error:
```
---------------------------------------------------------------------------
NonMatchingChecksumError Traceback ... | 2022-03-15T13:55:24Z | https://github.com/huggingface/datasets/issues/1856 | {
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By doing it this way:
- we are sure configuration is done only once: module level code is only runned once
- no need of global variable
- no need of threading lock | 2021-02-10T12:32:34Z | https://github.com/huggingface/datasets/pull/1853 | {
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### Checklist:
- [x] Create the dataset script /datasets/my_dataset/my_dataset.py using the template
- [x] Fill the _DESCRIPTION and _CITATION variables
- [x] Implement _infos(), _split_generators() and _generate_examples()
- [x] Make sure that the BUILDER_CONFIG... | 2021-02-09T15:16:26Z | https://github.com/huggingface/datasets/pull/1850 | {
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- **Name:** *TIMIT*
- **Description:** *The TIMIT corpus of read speech has been designed to provide speech data for the acquisition of acoustic-phonetic knowledge and for the development and evaluation of automatic speech recognition systems*
- **Paper:** *Homepage*: http://groups.inf.ed.ac.uk... | 2021-03-15T05:59:37Z | https://github.com/huggingface/datasets/issues/1849 | {
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This could be seen as a Pythonic singleton-like approach. Eventually a config instance class might be created. | 2021-02-10T12:29:35Z | https://github.com/huggingface/datasets/pull/1848 | {
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WER: https://en.wikipedia.org/wiki/Word_error_rate
for speech recognition. WER is the main metric used in ASR.
`jiwer` seems to be a solid library (see https://github.com/asteroid-team/asteroid/pull/329#discussion_r525158939) | 2021-02-09T17:53:21Z | https://github.com/huggingface/datasets/pull/1847 | {
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Close #1831.
The approach:
- I set these paths as DownloadManager attributes: these are DownloadManager's concerns
- To access to these from DatasetBuilder, I set the DownloadManager instance as DatasetBuilder attribute: object composition | 2021-02-25T14:10:18Z | https://github.com/huggingface/datasets/pull/1846 | {
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But since it's now fixed we should re-enable it. This is important to keep the default logging behavior for users, and propagation is also needed for pytest fixtures as asked in #1826
I also re... | 2021-02-09T14:22:38Z | https://github.com/huggingface/datasets/pull/1845 | {
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I can think of two reasons: first, it's possible to gather sentences for an entire document (the original ids contain media id, subtitle file id and sentence id), therefore somewhat a... | 2021-02-12T17:38:58Z | https://github.com/huggingface/datasets/issues/1844 | {
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- **Name:** *IWSLT19*
- **Description:** *The Speech Translation Task addresses the translation of English audio into German and Portuguese text.*
- **Hompage:** *https://sites.google.com/view/iwslt-evaluation-2019/speech-translation*
- **Data:** *https://sites.google.com/view/iwslt-evaluation-2... | 2021-05-14T14:53:34Z | https://github.com/huggingface/datasets/issues/1843 | {
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- **Name:** *AMI*
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- **Name:** *ljspeech*
- **Description:** *This is a public domain speech dataset consisting of 13,100 short audio clips of a single speaker reading passages from 7 non-fiction books. A transcription is provided for each clip. Clips vary in length from 1 to 10 seconds and have a total length of ap... | 2021-03-15T05:59:02Z | https://github.com/huggingface/datasets/issues/1841 | {
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- **Name:** *common voice*
- **Description:** *Mozilla Common Voice Dataset*
- **Paper:** Homepage: https://voice.mozilla.org/en/datasets
- **Data:** https://voice.mozilla.org/en/datasets
- **Motivation:** Important speech dataset
- **TFDatasets Implementation**: https://www.tensorflow.org/dat... | 2022-03-20T15:23:40Z | https://github.com/huggingface/datasets/issues/1840 | {
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- **Name:** *voxforge*
- **Description:** *VoxForge is a language classification dataset. It consists of user submitted audio clips submitted to the website. In this release, data from 6 languages is collected - English, Spanish, French, German, Russian, and Italian. Since the website is constant... | 2021-02-08T13:28:31Z | https://github.com/huggingface/datasets/issues/1839 | {
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- **Name:** *tedlium*
- **Description:** *The TED-LIUM 1-3 corpus is English-language TED talks, with transcriptions, sampled at 16kHz. It contains about 118 hours of speech.*
- **Paper:** Homepage: http://www.openslr.org/7/, https://lium.univ-lemans.fr/en/ted-lium2/ &, https://www.openslr.org/51... | 2022-10-04T14:34:12Z | https://github.com/huggingface/datasets/issues/1838 | {
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https://api.github.com/repos/huggingface/datasets/issues/1837/comments | https://api.github.com/repos/huggingface/datasets/issues/1837/timeline | 2021-12-28T15:05:08Z | null | completed | MDU6SXNzdWU4MDM1NTU2NTA= | closed | [] | null | 1,837 | {
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- **Name:** *VCTK*
- **Description:** *This CSTR VCTK Corpus includes speech data uttered by 110 English speakers with various accents. Each speaker reads out about 400 sentences, which were selected from a newspaper, the rainbow passage and an elicitation paragraph used for the speech accent arch... | 2021-12-28T15:05:08Z | https://github.com/huggingface/datasets/issues/1837 | {
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The URL is not valid anymore since test.json has been removed in master for some reason. Directly referencing the last commit works:
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https://api.github.com/repos/huggingface/datasets/issues/1835/comments | https://api.github.com/repos/huggingface/datasets/issues/1835/timeline | null | null | null | MDU6SXNzdWU4MDM1MjQ3OTA= | open | [] | null | 1,835 | {
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- **Name:** Chime4
- **Description:** Chime4 is a dataset for automatic speech recognition. It is especially useful for evaluating models in a noisy environment and for multi-channel ASR
- **Paper:** Dataset comes from a channel: http://spandh.dcs.shef.ac.uk/chime_challenge/CHiME4/ . Results pape... | 2024-02-01T10:25:03Z | https://github.com/huggingface/datasets/issues/1835 | {
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__Originally posted by @dependabot in https://github.com/discourse/discourse/pull/11373#issuecomment-738993432__ | 2021-02-08T17:27:29Z | https://github.com/huggingface/datasets/issues/1832 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | Hi , i review the code in
https://github.com/huggingface/datasets/blob/master/datasets/conll2003/conll2003.py
in the _split_generators function is the truly logic of download raw datasets with dl_manager
and use Conll2003 cls by use import_main_class in load_dataset function
My question is that , with this logic i... | 2021-02-25T14:10:18Z | https://github.com/huggingface/datasets/issues/1831 | {
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https://api.github.com/repos/huggingface/datasets/issues/1830/comments | https://api.github.com/repos/huggingface/datasets/issues/1830/timeline | null | null | null | MDU6SXNzdWU4MDI3OTAwNzU= | open | [] | null | 1,830 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | This could total relate to me misunderstanding particular call functions, but I added words to a GPT2Tokenizer, and saved it to disk (note I'm only showing snippets but I can share more) and the map function ran much slower:
````
def save_tokenizer(original_tokenizer,text,path="simpledata/tokenizer"):
words_u... | 2021-02-24T21:56:14Z | https://github.com/huggingface/datasets/issues/1830 | {
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https://api.github.com/repos/huggingface/datasets/issues/1829/comments | https://api.github.com/repos/huggingface/datasets/issues/1829/timeline | 2021-02-08T13:17:53Z | null | null | MDExOlB1bGxSZXF1ZXN0NTY4NzgzNjA5 | closed | [] | false | 1,829 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Closes Draft PR #1407.
Notes:
1. I have excluded `mapping.txt` from the dataset at it only contained the name mappings, which are already present in the ClassLabels.
2. I have also exluded the textual names for the emojis mentioned in the [mapping](https://github.com/cardiffnlp/tweeteval/blob/main/datasets/emoji/... | 2021-02-08T13:17:54Z | https://github.com/huggingface/datasets/pull/1829 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Trying to add CelebA Dataset.
Need help with testing. Loading examples takes a lot of time so I am unable to generate the `dataset_infos.json` and unable to test. Also, need help with creating `dummy_data.zip`.
Additionally, trying to load a few examples using `load_dataset('./datasets/celeb_a',split='train[10:20]... | 2021-02-18T14:17:07Z | https://github.com/huggingface/datasets/pull/1828 | {
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https://api.github.com/repos/huggingface/datasets/issues/1827/comments | https://api.github.com/repos/huggingface/datasets/issues/1827/timeline | 2021-02-18T13:55:16Z | null | completed | MDU6SXNzdWU4MDIzNTM5NzQ= | closed | [] | null | 1,827 | {
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"gists_url"... | Regarding On-the-fly Data Loading | https://api.github.com/repos/huggingface/datasets/issues/1827/events | null | https://api.github.com/repos/huggingface/datasets/issues/1827/labels{/name} | 2021-02-05T17:43:48Z | null | false | null | null | 802,353,974 | [] | https://api.github.com/repos/huggingface/datasets/issues/1827 | [
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Hi,
I was wondering if it is possible to load images/texts as a batch during the training process, without loading the entire dataset on the RAM at any given point.
Thanks,
Gunjan | 2021-02-18T13:55:16Z | https://github.com/huggingface/datasets/issues/1827 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | Print error message specifying filename when malformed CSV file.
Close #1821 | 2021-02-09T17:39:27Z | https://github.com/huggingface/datasets/pull/1826 | {
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https://api.github.com/repos/huggingface/datasets/issues/1825/comments | https://api.github.com/repos/huggingface/datasets/issues/1825/timeline | 2021-03-16T09:44:00Z | null | completed | MDU6SXNzdWU4MDIwNzM5MjU= | closed | [
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"gists_u... | Datasets library not suitable for huge text datasets. | https://api.github.com/repos/huggingface/datasets/issues/1825/events | null | https://api.github.com/repos/huggingface/datasets/issues/1825/labels{/name} | 2021-02-05T11:06:50Z | null | false | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | Hi,
I'm trying to use datasets library to load a 187GB dataset of pure text, with the intention of building a Language Model. The problem is that from the 187GB it goes to some TB when processed by Datasets. First of all, I think the pre-tokenizing step (with tokenizer.map()) is not really thought for datasets this ... | 2021-03-30T14:04:01Z | https://github.com/huggingface/datasets/issues/1825 | {
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https://api.github.com/repos/huggingface/datasets/issues/1824/comments | https://api.github.com/repos/huggingface/datasets/issues/1824/timeline | 2021-02-08T11:30:33Z | null | null | MDExOlB1bGxSZXF1ZXN0NTY4MjU3MTU3 | closed | [] | false | 1,824 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | I started adding the dataset card for OSCAR !
For now it's just basic info for all the different configurations in `Dataset Structure`.
In particular the Data Splits section tells how may samples there are for each config. The Data Instances section show an example for each config, and it also shows the size in MB.... | 2021-05-05T18:24:14Z | https://github.com/huggingface/datasets/pull/1824 | {
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https://api.github.com/repos/huggingface/datasets/issues/1823/comments | https://api.github.com/repos/huggingface/datasets/issues/1823/timeline | 2021-03-01T10:21:39Z | null | null | MDExOlB1bGxSZXF1ZXN0NTY4MjUyMjIx | closed | [] | false | 1,823 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Hi,
This PR closes this [Card](https://github.com/huggingface/datasets/projects/1#card-53285184) and Issue #1757.
I wasn't sure how to add `pid2name` along with the dataset so I added it as a separate configuration. For each (head, tail, tokens) triplet, I have created one example. I have added the dictionary key... | 2021-03-01T11:56:20Z | https://github.com/huggingface/datasets/pull/1823 | {
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https://api.github.com/repos/huggingface/datasets/issues/1822/comments | https://api.github.com/repos/huggingface/datasets/issues/1822/timeline | 2021-02-15T09:57:39Z | null | null | MDExOlB1bGxSZXF1ZXN0NTY4MjIxMzIz | closed | [] | false | 1,822 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | # Dataset Card for Hindi Discourse Analysis Dataset
## Table of Contents
- [Dataset Description](#dataset-description)
- [Dataset Summary](#dataset-summary)
- [Supported Tasks](#supported-tasks-and-leaderboards)
- [Languages](#languages)
- [Dataset Structure](#dataset-structure)
- [Data Instances](#dat... | 2021-02-15T09:57:39Z | https://github.com/huggingface/datasets/pull/1822 | {
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https://api.github.com/repos/huggingface/datasets/issues/1821/comments | https://api.github.com/repos/huggingface/datasets/issues/1821/timeline | 2021-02-09T17:39:27Z | null | completed | MDU6SXNzdWU4MDE3NDc2NDc= | closed | [] | null | 1,821 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | I find when I process many files, i.e.
```
train_files = glob.glob('rain*.csv')
validation_files = glob.glob(validation*.csv')
datasets = load_dataset("csv", data_files=dict(train=train_files, validation=validation_files))
```
I sometimes encounter an error due to one of the files being misformed (i.e. no dat... | 2021-02-09T17:39:27Z | https://github.com/huggingface/datasets/issues/1821 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | All metrics finally have usage examples and proper fast + slow tests :)
I added examples of usage for every metric, and I use doctest to make sure they all work as expected.
For "slow" metrics such as bert_score or bleurt which require to download + run a transformer model, the download + forward pass are only do... | 2021-02-05T14:00:01Z | https://github.com/huggingface/datasets/pull/1820 | {
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"gists_url"... | Fixed spelling `S3Fileystem` to `S3FileSystem` | https://api.github.com/repos/huggingface/datasets/issues/1819/events | null | https://api.github.com/repos/huggingface/datasets/issues/1819/labels{/name} | 2021-02-04T16:36:46Z | null | false | null | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | Fixed documentation spelling errors.
Wrong `S3Fileystem`
Right `S3FileSystem` | 2021-02-04T16:52:27Z | https://github.com/huggingface/datasets/pull/1819 | {
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https://api.github.com/repos/huggingface/datasets/issues/1818/comments | https://api.github.com/repos/huggingface/datasets/issues/1818/timeline | 2022-06-01T15:38:42Z | null | completed | MDU6SXNzdWU4MDA5NTg3NzY= | closed | [] | null | 1,818 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | Load local dataset:
```
dataset = load_dataset('json', data_files=["../../data/json.json"])
train = dataset["train"]
print(train.features)
train1 = train.map(lambda x: {"labels": 1})
print(train1[:2])
```
but it raised requests.exceptions.ConnectTimeout:
```
/Users/littlely/myvirtual/tf2/bin/python3.7 /Us... | 2022-06-01T15:38:42Z | https://github.com/huggingface/datasets/issues/1818 | {
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https://api.github.com/repos/huggingface/datasets/issues/1817/comments | https://api.github.com/repos/huggingface/datasets/issues/1817/timeline | 2022-10-05T12:42:57Z | null | completed | MDU6SXNzdWU4MDA4NzA2NTI= | closed | [] | null | 1,817 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | I am trying to preprocess any dataset in this package with GPT-2 tokenizer, so I need to structure the datasets as long sequences of text without padding. I've been following a couple of your tutorials and here you can find the script that is failing right at the end
https://github.com/LuCeHe/GenericTools/blob/maste... | 2022-10-05T12:42:57Z | https://github.com/huggingface/datasets/issues/1817 | {
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https://api.github.com/repos/huggingface/datasets/issues/1815/comments | https://api.github.com/repos/huggingface/datasets/issues/1815/timeline | 2021-03-01T10:36:21Z | null | null | MDExOlB1bGxSZXF1ZXN0NTY3MDY3NjU1 | closed | [] | false | 1,815 | {
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"gists_url"... | Add CCAligned Multilingual Dataset | https://api.github.com/repos/huggingface/datasets/issues/1815/events | null | https://api.github.com/repos/huggingface/datasets/issues/1815/labels{/name} | 2021-02-03T18:59:52Z | null | false | null | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Hello,
I'm trying to add [CCAligned Multilingual Dataset](http://www.statmt.org/cc-aligned/). This has the potential to close #1756.
This dataset has two types - Document-Pairs, and Sentence-Pairs.
The datasets are huge, so I won't be able to test all of them. At the same time, a user might only want to downlo... | 2021-03-01T12:33:03Z | https://github.com/huggingface/datasets/pull/1815 | {
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https://api.github.com/repos/huggingface/datasets/issues/1814/comments | https://api.github.com/repos/huggingface/datasets/issues/1814/timeline | 2021-02-04T16:21:48Z | null | null | MDExOlB1bGxSZXF1ZXN0NTY2OTg4NTI1 | closed | [] | false | 1,814 | {
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"gists_url"... | Add Freebase QA Dataset | https://api.github.com/repos/huggingface/datasets/issues/1814/events | null | https://api.github.com/repos/huggingface/datasets/issues/1814/labels{/name} | 2021-02-03T16:57:49Z | null | false | null | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | 800,516,236 | [] | https://api.github.com/repos/huggingface/datasets/issues/1814 | [
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Closes PR #1435. Fixed issues with PR #1809.
Requesting @lhoestq to review. | 2021-02-04T19:47:51Z | https://github.com/huggingface/datasets/pull/1814 | {
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https://api.github.com/repos/huggingface/datasets/issues/1813/comments | https://api.github.com/repos/huggingface/datasets/issues/1813/timeline | 2021-02-05T10:33:47Z | null | null | MDExOlB1bGxSZXF1ZXN0NTY2OTIxNDcz | closed | [] | false | 1,813 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | If a dataset is available at the version of the local installation of `datasets` (e.g. 1.2.0), then loading this dataset means loading the script at this version.
However when trying to load a dataset that is only available on master, currently users have to specify `script_version="master"` in `load_dataset` to mak... | 2021-02-05T10:33:48Z | https://github.com/huggingface/datasets/pull/1813 | {
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https://api.github.com/repos/huggingface/datasets/issues/1812/comments | https://api.github.com/repos/huggingface/datasets/issues/1812/timeline | 2021-02-08T10:39:06Z | null | null | MDExOlB1bGxSZXF1ZXN0NTY2MDMxODIy | closed | [] | false | 1,812 | {
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"gists_url"... | Add CIFAR-100 Dataset | https://api.github.com/repos/huggingface/datasets/issues/1812/events | null | https://api.github.com/repos/huggingface/datasets/issues/1812/labels{/name} | 2021-02-02T15:22:59Z | null | false | null | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Adding CIFAR-100 Dataset. | 2021-02-08T11:10:18Z | https://github.com/huggingface/datasets/pull/1812 | {
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https://api.github.com/repos/huggingface/datasets/issues/1811/comments | https://api.github.com/repos/huggingface/datasets/issues/1811/timeline | 2021-02-18T14:16:31Z | null | completed | MDU6SXNzdWU3OTkyMTEwNjA= | closed | [] | null | 1,811 | {
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"gists_url"... | Unable to add Multi-label Datasets | https://api.github.com/repos/huggingface/datasets/issues/1811/events | null | https://api.github.com/repos/huggingface/datasets/issues/1811/labels{/name} | 2021-02-02T11:50:56Z | null | false | null | null | 799,211,060 | [] | https://api.github.com/repos/huggingface/datasets/issues/1811 | [
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | I am trying to add [CIFAR-100](https://www.cs.toronto.edu/~kriz/cifar.html) dataset. The dataset contains two labels per image - `fine label` and `coarse label`. Using just one label in supervised keys as
`supervised_keys=("img", "fine_label")` raises no issue. But trying `supervised_keys=("img", "fine_label","coarse... | 2021-02-18T14:16:31Z | https://github.com/huggingface/datasets/issues/1811 | {
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https://api.github.com/repos/huggingface/datasets/issues/1810/comments | https://api.github.com/repos/huggingface/datasets/issues/1810/timeline | null | null | null | MDU6SXNzdWU3OTkxNjg2NTA= | open | [] | null | 1,810 | {
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"gists_url"... | Add Hateful Memes Dataset | https://api.github.com/repos/huggingface/datasets/issues/1810/events | null | https://api.github.com/repos/huggingface/datasets/issues/1810/labels{/name} | 2021-02-02T10:53:59Z | null | false | null | null | 799,168,650 | [
{
"color": "e99695",
"default": false,
"description": "Requesting to add a new dataset",
"id": 2067376369,
"name": "dataset request",
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"color": "bfdadc",... | https://api.github.com/repos/huggingface/datasets/issues/1810 | [
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | ## Add Hateful Memes Dataset
- **Name:** Hateful Memes
- **Description:** [https://ai.facebook.com/blog/hateful-memes-challenge-and-data-set]( https://ai.facebook.com/blog/hateful-memes-challenge-and-data-set)
- **Paper:** [https://arxiv.org/pdf/2005.04790.pdf](https://arxiv.org/pdf/2005.04790.pdf)
- **Data:** [Thi... | 2021-12-08T12:03:59Z | https://github.com/huggingface/datasets/issues/1810 | {
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