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] | https://api.github.com/repos/huggingface/datasets | NONE | actual_task = "mnli" if task == "mnli-mm" else task
dataset = load_dataset(path='/home/glue.py', name=actual_task)
metric = load_metric(path='/home/glue.py', name=actual_task)
---------------------------------------------------------------------------
TypeError Traceback (most recent... | 2021-08-25T21:44:05Z | https://github.com/huggingface/datasets/issues/2117 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | calling `map()` of `datasets` library results into an error while defining a Custom dataset.
Reproducible example:
```
import datasets
class MyDataset(datasets.Dataset):
def __init__(self, sentences):
"Initialization"
self.samples = sentences
def __len__(self):
"Denotes the ... | 2021-03-31T14:30:32Z | https://github.com/huggingface/datasets/issues/2116 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | In our testing, we noticed that the datasets.map() implementation is modifying the datatype of python os.environ object from '_Environ' to 'dict'.
This causes following function calls to fail as follows:
`
x = os.environ.get("TEST_ENV_VARIABLE_AFTER_dataset_map", default=None)
TypeError: get() takes... | 2021-03-26T15:13:52Z | https://github.com/huggingface/datasets/issues/2115 | {
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... | Support for legal NLP datasets (EURLEX, ECtHR cases and EU-REG-IR) | https://api.github.com/repos/huggingface/datasets/issues/2114/events | null | https://api.github.com/repos/huggingface/datasets/issues/2114/labels{/name} | 2021-03-25T18:40:17Z | null | false | null | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | 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) | 2021-03-31T10:38:50Z | https://github.com/huggingface/datasets/pull/2114 | {
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This will avoid
> During handling of the above exception, another exception occurred: | 2021-03-31T11:30:14Z | https://github.com/huggingface/datasets/pull/2113 | {
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... | Support for legal NLP datasets (EURLEX and ECtHR cases) | https://api.github.com/repos/huggingface/datasets/issues/2112/events | null | https://api.github.com/repos/huggingface/datasets/issues/2112/labels{/name} | 2021-03-25T16:24:17Z | null | false | null | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Add support for two legal NLP datasets:
- EURLEX (https://www.aclweb.org/anthology/P19-1636/)
- ECtHR cases (https://arxiv.org/abs/2103.13084) | 2021-03-25T18:39:31Z | https://github.com/huggingface/datasets/pull/2112 | {
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Fix #2078. | 2021-04-06T07:20:43Z | https://github.com/huggingface/datasets/pull/2111 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | 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... | 2021-03-25T06:31:43Z | https://github.com/huggingface/datasets/issues/2108 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | - `pydantic` metadata schema with dedicated validators against our taxonomy
- 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... | 2021-04-26T08:27:14Z | https://github.com/huggingface/datasets/pull/2107 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | 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:
> ... | 2021-03-25T21:36:20Z | https://github.com/huggingface/datasets/issues/2106 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | Hi! I was wondering if it's possible to remove [S2ORC](https://huggingface.co/datasets/s2orc) from hosting on Huggingface's platform? Unfortunately, there are some legal considerations about how we make this data available. Happy to add back to Huggingface's platform once we work out those hurdles! Thanks! | 2021-08-04T19:18:02Z | https://github.com/huggingface/datasets/issues/2105 | {
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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... | 2022-03-30T08:22:58Z | https://github.com/huggingface/datasets/issues/2104 | {
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Example result:
```
"citation": "@ONLINE {wikidump,\n author = {Wikimedia Foundation},\n title = {... | 2021-04-06T14:39:59Z | https://github.com/huggingface/datasets/issues/2103 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Hi @lhoestq, I have updated the citations to reference an OpenReview preprint. | 2021-03-23T18:08:10Z | https://github.com/huggingface/datasets/pull/2101 | {
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- Use deprecated Sphinx directive in docstring
- Fix format of deprecated message
- Raise FutureWarning | 2021-03-24T08:19:41Z | https://github.com/huggingface/datasets/pull/2100 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | I have an extremely large tokenized dataset (24M examples) that loads in a few minutes. However, after adding a column similar to `input_ids` (basically a list of integers) and saving the dataset to disk, the load time goes to >1 hour. I've even tried using `np.uint8` after seeing #1985 but it doesn't seem to be helpin... | 2021-03-23T17:12:16Z | https://github.com/huggingface/datasets/issues/2099 | {
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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. | 2021-03-26T09:48:54Z | https://github.com/huggingface/datasets/issues/2098 | {
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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 ... | 2023-07-25T16:49:07Z | https://github.com/huggingface/datasets/issues/2096 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | This PR tries to fix issue #1110. Sorry for taking so long to come back to this.
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 | 2021-03-25T14:35:54Z | https://github.com/huggingface/datasets/pull/2093 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | Is there a way to disable the construction of arrow tables, or to make them on the fly as the dataset is being used ? | 2022-06-01T16:49:52Z | https://github.com/huggingface/datasets/issues/2092 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Hi,
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... | 2023-07-25T16:45:38Z | https://github.com/huggingface/datasets/issues/2089 | {
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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 | 2021-03-23T15:40:12Z | https://github.com/huggingface/datasets/pull/2088 | {
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Fixes #2083
| 2021-04-09T09:25:33Z | https://github.com/huggingface/datasets/pull/2087 | {
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- **Name:** CUAD - Contract Understanding Atticus Dataset
- **Description:** As one of the only large, specialized NLP benchmarks annotated by experts, CUAD can serve as a challenging research benchmark for the broader NLP community.
- **Paper:** https://arxiv.org/abs/2103.06268
- **Data:** http... | 2021-04-16T08:50:44Z | https://github.com/huggingface/datasets/issues/2084 | {
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I played around with the `concatenate_datasets(...)` function: https://huggingface.co/docs/datasets/package_reference/main_classes.html?highlight=concatenate_datasets#datasets.concatenate_datasets
and noticed that when the order in which the datasets are concatenated changes an error is thrown where it shou... | 2021-04-09T09:25:33Z | https://github.com/huggingface/datasets/issues/2083 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | Fix docstring issues. | 2021-04-07T14:37:43Z | https://github.com/huggingface/datasets/pull/2081 | {
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"",
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] | https://api.github.com/repos/huggingface/datasets | NONE | Hi,
I'm trying to put together a `datasets.Dataset` to be used with LayoutLM which is available in `transformers`. This model requires as input the bounding boxes of each of the token of a sequence. This is when I realized that `Dataset` does not support multi-dimensional arrays as a value for a column in a row.
... | 2021-03-25T12:46:53Z | https://github.com/huggingface/datasets/issues/2080 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | Minor refactoring of Metric.compute signature to force the use of keyword arguments, by using the single star syntax. | 2021-03-23T15:31:44Z | https://github.com/huggingface/datasets/pull/2079 | {
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"",
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] | https://api.github.com/repos/huggingface/datasets | NONE | Hi, I'm trying to follow the ASR example to try Wav2Vec. This is the code that I use for WER calculation:
```
wer = load_metric("wer")
print(wer.compute(predictions=result["predicted"], references=result["target"]))
```
However, I receive the following exception:
`Traceback (most recent call last):
File ... | 2021-05-01T08:31:49Z | https://github.com/huggingface/datasets/issues/2078 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | `0.0.2 => 0.0.6` | 2021-03-18T11:33:26Z | https://github.com/huggingface/datasets/pull/2077 | {
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"",
""
] | https://api.github.com/repos/huggingface/datasets | NONE | The download link in `iwslt2017.py` file does not seem to work anymore.
For example, `FileNotFoundError: Couldn't find file at https://wit3.fbk.eu/archive/2017-01-trnted/texts/zh/en/zh-en.tgz`
Would be nice if we could modify it script and use the new downloadable link? | 2021-03-22T11:52:31Z | https://github.com/huggingface/datasets/issues/2076 | {
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https://api.github.com/repos/huggingface/datasets/issues/2075/comments | https://api.github.com/repos/huggingface/datasets/issues/2075/timeline | 2021-03-20T10:29:41Z | null | completed | MDU6SXNzdWU4MzQzMDEyNDY= | closed | [] | null | 2,075 | {
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"",
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] | https://api.github.com/repos/huggingface/datasets | NONE | When I run:
from datasets import load_dataset, load_metric
common_voice_train = load_dataset("common_voice", "zh-CN", split="train+validation")
common_voice_test = load_dataset("common_voice", "zh-CN", split="test")
Got:
ConnectionError: Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/ma... | 2021-03-20T10:29:41Z | https://github.com/huggingface/datasets/issues/2075 | {
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"gists_url"... | Fix size categories in YAML Tags | https://api.github.com/repos/huggingface/datasets/issues/2074/events | null | https://api.github.com/repos/huggingface/datasets/issues/2074/labels{/name} | 2021-03-18T00:02:36Z | null | false | null | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | This PR fixes several `size_categories` in YAML tags and makes them consistent. Additionally, I have added a few more categories after `1M`, up to `1T`. I would like to add that to the streamlit app also.
This PR also adds a couple of infos that I found missing.
The code for generating this:
```python
for datas... | 2021-03-23T17:11:10Z | https://github.com/huggingface/datasets/pull/2074 | {
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"gists_url"... | Fixes check of TF_AVAILABLE and TORCH_AVAILABLE | https://api.github.com/repos/huggingface/datasets/issues/2073/events | null | https://api.github.com/repos/huggingface/datasets/issues/2073/labels{/name} | 2021-03-17T21:28:53Z | null | false | null | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | # What is this PR doing
This PR implements the checks if `Tensorflow` and `Pytorch` are available the same way as `transformers` does it. I added the additional checks for the different `Tensorflow` and `torch` versions. #2068 | 2021-03-18T09:09:25Z | https://github.com/huggingface/datasets/pull/2073 | {
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"",
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | ```python
# benchmark_filter.py
import logging
import sys
import time
from datasets import load_dataset, set_caching_enabled
if __name__ == "__main__":
set_caching_enabled(False)
logging.basicConfig(level=logging.DEBUG)
bc = load_dataset("bookcorpus")
now = time.time()
try:
... | 2021-03-18T09:10:23Z | https://github.com/huggingface/datasets/issues/2071 | {
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https://api.github.com/repos/huggingface/datasets/issues/2070/comments | https://api.github.com/repos/huggingface/datasets/issues/2070/timeline | 2021-08-04T17:57:16Z | null | completed | MDU6SXNzdWU4MzM3OTkwMzU= | closed | [] | null | 2,070 | {
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"g... | ArrowInvalid issue for squad v2 dataset | https://api.github.com/repos/huggingface/datasets/issues/2070/events | null | https://api.github.com/repos/huggingface/datasets/issues/2070/labels{/name} | 2021-03-17T13:51:49Z | null | false | null | null | 833,799,035 | [] | https://api.github.com/repos/huggingface/datasets/issues/2070 | [
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] | https://api.github.com/repos/huggingface/datasets | NONE | Hello, I am using the huggingface official question answering example notebook (https://colab.research.google.com/github/huggingface/notebooks/blob/master/examples/question_answering.ipynb).
In the prepare_validation_features function, I made some modifications to tokenize a new set of quesions with the original co... | 2021-08-04T17:57:16Z | https://github.com/huggingface/datasets/issues/2070 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | I get en error when running data loading using SageMaker SDK
```
File "main.py", line 34, in <module>
run_training()
File "main.py", line 25, in run_training
dm.setup('fit')
File "/opt/conda/lib/python3.6/site-packages/pytorch_lightning/core/datamodule.py", line 92, in wrapped_fn
return fn(*a... | 2021-06-14T04:47:30Z | https://github.com/huggingface/datasets/issues/2068 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | As described here https://huggingface.co/blog/fine-tune-xlsr-wav2vec2
When using the num_proc argument on windows the whole Python environment crashes and hanging in loop.
For example at the map_to_array part.
An error occures because the cache file already exists and windows throws and error. After this the log c... | 2021-08-04T17:59:08Z | https://github.com/huggingface/datasets/issues/2067 | {
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It seems when a cached file is saved from calling `dataset.map` for preprocessing, it gets the user permissions and none of the user's group permissions. As we share data files across members of our team, this is causing a bit of an issue as we have to continually reset the permission of the files. Do you kno... | 2023-03-31T12:17:06Z | https://github.com/huggingface/datasets/issues/2065 | {
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Fixes #2059 | 2021-03-16T18:00:08Z | https://github.com/huggingface/datasets/pull/2064 | {
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I am trying to load the udpos English subset from xtreme dataset, but this faces an error during loading. I am using datasets v1.4.1, pip install. I have tried with other udpos languages which also fail, though loading a different subset altogether (such as XNLI) has no issue. I have also tried on Colab and ... | 2021-06-18T11:54:11Z | https://github.com/huggingface/datasets/issues/2061 | {
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benchmarking is somewhat inconclusive, currently running on `book_corpus` with:
```python
bc = load_dataset("bookcorpus")
now = time.time()
bc.filter(lambda x: len(x["text"]) < 64)
elapsed = time.time() - now
print(elapsed)
```
t... | 2023-09-24T09:52:57Z | https://github.com/huggingface/datasets/pull/2060 | {
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The [docs](https://huggingface.co/datasets/ted_talks_iwslt) mention the following way of doing so.
```python
dataset = load_dataset("ted_talks_iwslt", language_pair=("it", "pl"), year="2014")
```
Executing it results in the error ... | 2021-03-16T18:00:31Z | https://github.com/huggingface/datasets/issues/2059 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | I was having some weird bugs with `C4`dataset version of HuggingFace, so I decided to try to download `C4`from `tfds`. I would like to know if it is possible to convert a tfds dataset to HuggingFace dataset format :)
I can also open a new issue reporting the bug I'm receiving with `datasets.load_dataset('c4','en')` ... | 2023-07-25T16:47:40Z | https://github.com/huggingface/datasets/issues/2058 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Updating the link as the original one is no longer working. | 2021-03-16T17:06:28Z | https://github.com/huggingface/datasets/pull/2057 | {
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"gists_url"... | issue with opus100/en-fr dataset | https://api.github.com/repos/huggingface/datasets/issues/2056/events | null | https://api.github.com/repos/huggingface/datasets/issues/2056/labels{/name} | 2021-03-15T11:32:42Z | null | false | null | null | 831,718,397 | [] | https://api.github.com/repos/huggingface/datasets/issues/2056 | [
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] | https://api.github.com/repos/huggingface/datasets | NONE | Hi
I am running run_mlm.py code of huggingface repo with opus100/fr-en pair, I am getting this error, note that this error occurs for only this pairs and not the other pairs. Any idea why this is occurring? and how I can solve this?
Thanks a lot @lhoestq for your help in advance.
`
thread '<unnamed>' panicked... | 2021-03-16T15:49:00Z | https://github.com/huggingface/datasets/issues/2056 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | At the moment when I use save_to_disk, it uses the arbitrary name for the arrow file. Is there a way to override such an object? | 2021-03-22T04:06:17Z | https://github.com/huggingface/datasets/issues/2055 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | I am trying to use zest dataset from Allen AI using below code in colab,
```
!pip install -q datasets
from datasets import load_dataset
dataset = load_dataset("zest")
```
I am getting the following error,
```
Using custom data configuration default
Downloading and preparing dataset zest/default (download: ... | 2021-05-03T09:30:24Z | https://github.com/huggingface/datasets/issues/2054 | {
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"gists_url"... | Add bAbI QA tasks | https://api.github.com/repos/huggingface/datasets/issues/2053/events | null | https://api.github.com/repos/huggingface/datasets/issues/2053/labels{/name} | 2021-03-14T13:04:39Z | null | false | null | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | - **Name:** *The (20) QA bAbI tasks*
- **Description:** *The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading comprehension via question answering. Our tasks measure understanding in several ways: whether a system is able to answer questions via chaining facts, simple induction, deduction and many mor... | 2021-03-29T12:41:48Z | https://github.com/huggingface/datasets/pull/2053 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | Summary
When loading timit_asr dataset on datasets 1.4+, every row in the dataset is the same
Steps to reproduce
As an example, on this code there is the text from the training part:
Code snippet:
```
from datasets import load_dataset, load_metric
timit = load_dataset("timit_asr")
timit['train']['text']... | 2021-03-15T10:37:16Z | https://github.com/huggingface/datasets/issues/2052 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | - **Name:** *MDD Dataset*
- **Description:** The Movie Dialog dataset (MDD) is designed to measure how well models can perform at goal and non-goal orientated dialog centered around the topic of movies (question answering, recommendation and discussion), from various movie reviews sources such as MovieLens and OMDb.
... | 2021-03-19T11:15:44Z | https://github.com/huggingface/datasets/pull/2051 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | Thank you for your recent tutorial on how to finetune Wav2Vec2 on a custom dataset. The example you gave here (https://huggingface.co/blog/fine-tune-xlsr-wav2vec2) was on the CommonVoice dataset. However, what if I want to load my own dataset? I have a manifest (transcript and their audio files) in a JSON file.
| 2021-03-15T09:27:28Z | https://github.com/huggingface/datasets/issues/2050 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | There are different tags for text classification right now: `text-classification` and `text_classification`:
.
This PR fixes it.
| 2021-03-16T15:47:46Z | https://github.com/huggingface/datasets/pull/2049 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Yesterday morning github wasn't working:
```
:/tmp$ wget https://raw.githubusercontent.com/huggingface/datasets/1.4.1/metrics/sacrebleu/sacrebleu.py--2021-03-12 18:35:59-- https://raw.githubusercontent.com/huggingface/datasets/1.4.1/metrics/sacrebleu/sacrebleu.py
Resolving raw.githubusercontent.com (raw.githubuser... | 2022-04-01T15:27:10Z | https://github.com/huggingface/datasets/issues/2048 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | My collaborators (@EmileChapuis, @PierreColombo) and I within the Affective Computing team at Telecom Paris would like to anonymously publish the miam dataset. It is assocated with a publication currently under review. We will update the dataset with full citations once the review period is over. | 2021-03-23T10:36:34Z | https://github.com/huggingface/datasets/pull/2047 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | As the below code suggests, I want to run add_faisis_index in every nth interaction from the training loop. I have 7.2 million documents. Usually, it takes 2.5 hours (if I run an as a separate process similar to the script given in rag/use_own_knowleldge_dataset.py). Now, this takes usually 5hrs. Is this normal? Any ... | 2021-03-24T22:29:11Z | https://github.com/huggingface/datasets/issues/2046 | {
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"gists_url"... | Preserve column ordering in Dataset.rename_column | https://api.github.com/repos/huggingface/datasets/issues/2045/events | null | https://api.github.com/repos/huggingface/datasets/issues/2045/labels{/name} | 2021-03-12T18:26:47Z | null | false | null | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Currently `Dataset.rename_column` doesn't necessarily preserve the order of the columns:
```python
>>> from datasets import Dataset
>>> d = Dataset.from_dict({'sentences': ["s1", "s2"], 'label': [0, 1]})
>>> d
Dataset({
features: ['sentences', 'label'],
num_rows: 2
})
>>> d.rename_column('sentences', '... | 2021-03-16T14:48:05Z | https://github.com/huggingface/datasets/pull/2045 | {
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https://api.github.com/repos/huggingface/datasets/issues/2044/comments | https://api.github.com/repos/huggingface/datasets/issues/2044/timeline | 2021-03-19T10:29:15Z | null | null | MDExOlB1bGxSZXF1ZXN0NTkxODY2NzM1 | closed | [] | false | 2,044 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | This PR adds the [CBT Dataset](https://arxiv.org/abs/1511.02301).
Note that I have also added the `raw` dataset as a separate configuration. I couldn't find a suitable "task" for it in YAML tags.
The dummy files have one example each, as the examples are slightly big. For `raw` dataset, I just used top few lines,... | 2021-03-19T11:10:13Z | https://github.com/huggingface/datasets/pull/2044 | {
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https://api.github.com/repos/huggingface/datasets/issues/2043/comments | https://api.github.com/repos/huggingface/datasets/issues/2043/timeline | 2021-03-16T14:05:05Z | null | null | MDExOlB1bGxSZXF1ZXN0NTkxODE1ODAz | closed | [] | false | 2,043 | {
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"gists_url"... | Support pickle protocol for dataset splits defined as ReadInstruction | https://api.github.com/repos/huggingface/datasets/issues/2043/events | null | https://api.github.com/repos/huggingface/datasets/issues/2043/labels{/name} | 2021-03-12T16:35:11Z | null | false | null | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Fixes #2022 (+ some style fixes) | 2021-03-16T14:25:38Z | https://github.com/huggingface/datasets/pull/2043 | {
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https://api.github.com/repos/huggingface/datasets/issues/2042/comments | https://api.github.com/repos/huggingface/datasets/issues/2042/timeline | 2021-03-12T15:04:22Z | null | null | MDExOlB1bGxSZXF1ZXN0NTkxNzQwNzQ3 | closed | [] | false | 2,042 | {
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"gists_url": "https:... | Fix arrow memory checks issue in tests | https://api.github.com/repos/huggingface/datasets/issues/2042/events | null | https://api.github.com/repos/huggingface/datasets/issues/2042/labels{/name} | 2021-03-12T14:49:52Z | null | false | null | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | The tests currently fail on `master` because the arrow memory verification doesn't return the expected memory evolution when loading an arrow table in memory.
From my experiments, the tests fail only when the full test suite is ran.
This made me think that maybe some arrow objects from other tests were not freeing th... | 2021-03-12T15:04:23Z | https://github.com/huggingface/datasets/pull/2042 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | 2021-03-16T11:09:20Z | https://github.com/huggingface/datasets/pull/2041 | {
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https://api.github.com/repos/huggingface/datasets/issues/2040/comments | https://api.github.com/repos/huggingface/datasets/issues/2040/timeline | 2021-08-04T18:00:43Z | null | completed | MDU6SXNzdWU4MzAxNjkzODc= | closed | [] | null | 2,040 | {
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"gists_url"... | ValueError: datasets' indices [1] come from memory and datasets' indices [0] come from disk | https://api.github.com/repos/huggingface/datasets/issues/2040/events | null | https://api.github.com/repos/huggingface/datasets/issues/2040/labels{/name} | 2021-03-12T14:27:00Z | null | false | null | null | 830,169,387 | [] | https://api.github.com/repos/huggingface/datasets/issues/2040 | [
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] | https://api.github.com/repos/huggingface/datasets | NONE | Hi there,
I am trying to concat two datasets that I've previously saved to disk via `save_to_disk()` like so (note that both are saved as `DataDict`, `PATH_DATA_CLS_*` are `Path`-objects):
```python
concatenate_datasets([load_from_disk(PATH_DATA_CLS_A)['train'], load_from_disk(PATH_DATA_CLS_B)['train']])
```
Yie... | 2021-08-04T18:00:43Z | https://github.com/huggingface/datasets/issues/2040 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Added fix to handle the last turn that is a user turn. | 2021-03-12T15:32:36Z | https://github.com/huggingface/datasets/pull/2039 | {
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https://api.github.com/repos/huggingface/datasets/issues/2038/comments | https://api.github.com/repos/huggingface/datasets/issues/2038/timeline | 2021-03-16T16:27:40Z | null | completed | MDU6SXNzdWU4MzAwMzY4NzU= | closed | [] | null | 2,038 | {
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"gists_url": "http... | outdated dataset_infos.json might fail verifications | https://api.github.com/repos/huggingface/datasets/issues/2038/events | null | https://api.github.com/repos/huggingface/datasets/issues/2038/labels{/name} | 2021-03-12T11:41:54Z | null | false | null | null | 830,036,875 | [] | https://api.github.com/repos/huggingface/datasets/issues/2038 | [
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | The [doc2dial/dataset_infos.json](https://github.com/huggingface/datasets/blob/master/datasets/doc2dial/dataset_infos.json) is outdated. It would fail data_loader when verifying download checksum etc..
Could you please update this file or point me how to update this file?
Thank you. | 2021-03-16T16:27:40Z | https://github.com/huggingface/datasets/issues/2038 | {
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https://api.github.com/repos/huggingface/datasets/issues/2037/comments | https://api.github.com/repos/huggingface/datasets/issues/2037/timeline | 2021-03-16T11:01:22Z | null | null | MDExOlB1bGxSZXF1ZXN0NTkxNTA4MTQz | closed | [] | false | 2,037 | {
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"gists_url": "http... | Fix: Wikipedia - save memory by replacing root.clear with elem.clear | https://api.github.com/repos/huggingface/datasets/issues/2037/events | null | https://api.github.com/repos/huggingface/datasets/issues/2037/labels{/name} | 2021-03-12T09:22:00Z | null | false | null | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | see: https://github.com/huggingface/datasets/issues/2031
What I did:
- replace root.clear with elem.clear
- remove lines to get root element
- $ make style
- $ make test
- some tests required some pip packages, I installed them.
test results on origin/master and my branch are same. I think it's not related... | 2021-03-23T06:08:16Z | https://github.com/huggingface/datasets/pull/2037 | {
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https://api.github.com/repos/huggingface/datasets/issues/2036/comments | https://api.github.com/repos/huggingface/datasets/issues/2036/timeline | 2021-03-15T08:44:44Z | null | completed | MDU6SXNzdWU4Mjk5MDkyNTg= | closed | [] | null | 2,036 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | when I execute these codes
```
>>> from datasets import load_dataset
>>> test_dataset = load_dataset("wikitext")
```
I got an error,any help?
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/xxx/anaconda3/envs/transformer/lib/python3.7/site-packages/datasets/load.p... | 2021-03-15T08:45:02Z | https://github.com/huggingface/datasets/issues/2036 | {
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https://api.github.com/repos/huggingface/datasets/issues/2035/comments | https://api.github.com/repos/huggingface/datasets/issues/2035/timeline | null | null | null | MDU6SXNzdWU4Mjk0NzU1NDQ= | open | [] | null | 2,035 | {
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"gists_url"... | wiki40b/wikipedia for almost all languages cannot be downloaded | https://api.github.com/repos/huggingface/datasets/issues/2035/events | null | https://api.github.com/repos/huggingface/datasets/issues/2035/labels{/name} | 2021-03-11T19:54:54Z | null | false | null | null | 829,475,544 | [] | https://api.github.com/repos/huggingface/datasets/issues/2035 | [
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] | https://api.github.com/repos/huggingface/datasets | NONE | Hi
I am trying to download the data as below:
```
from datasets import load_dataset
dataset = load_dataset("wiki40b", "cs")
print(dataset)
```
I am getting this error. @lhoestq I will be grateful if you could assist me with this error. For almost all languages except english I am getting this error.
I rea... | 2021-03-16T14:53:37Z | https://github.com/huggingface/datasets/issues/2035 | {
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https://api.github.com/repos/huggingface/datasets/issues/2034/comments | https://api.github.com/repos/huggingface/datasets/issues/2034/timeline | 2021-03-11T18:06:25Z | null | null | MDExOlB1bGxSZXF1ZXN0NTkxMDU2MTEw | closed | [] | false | 2,034 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Change `ENV_XDG_CACHE_HOME ` to `XDG_CACHE_HOME ` | 2021-03-11T18:06:25Z | https://github.com/huggingface/datasets/pull/2034 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | The `sacrebleu` metric seem to only work for sacrecleu>=1.4.12
For example using sacrebleu==1.2.10, an error is raised (from metric/sacrebleu/sacrebleu.py):
```python
def _compute(
self,
predictions,
references,
smooth_method="exp",
smooth_value=None,
force... | 2021-03-11T17:58:12Z | https://github.com/huggingface/datasets/pull/2033 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | Currently the filter method reads the dataset batch by batch to write a new, filtered, arrow file on disk. Therefore all the reading + writing can take some time.
Using a mask directly on the arrow table doesn't do any read or write operation therefore it's significantly quicker.
I think there are two cases:
- i... | 2024-01-19T13:26:32Z | https://github.com/huggingface/datasets/issues/2032 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | I tried downloading Japanese wikipedia, but it always failed because of out of memory maybe.
I found that the generator function that extracts XML data in wikipedia.py doesn't release memory in the loop.
https://github.com/huggingface/datasets/blob/13a5b7db992ad5cf77895e4c0f76595314390418/datasets/wikipedia/wikip... | 2021-03-22T08:33:52Z | https://github.com/huggingface/datasets/issues/2031 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | Implement `Dataset.from_text`.
Analogue to #1943, #1946. | 2021-03-18T13:29:29Z | https://github.com/huggingface/datasets/pull/2030 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | I've recently been testing out RAG and DPR embeddings, and I've run into an issue that is not apparent in the documentation.
The basic steps are:
1. Create a dataset (dataset1)
2. Create an embeddings column using DPR
3. Add a faiss index to the dataset
4. Save faiss index to a file
5. Create a new dataset (d... | 2021-03-12T00:21:09Z | https://github.com/huggingface/datasets/issues/2029 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Fixes #2026 | 2021-03-11T14:38:40Z | https://github.com/huggingface/datasets/pull/2027 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Hi,
I'm trying to use `cifar10` dataset. I want to rename the `img` feature to `image` in order to make it consistent with `mnist`, which I'm also planning to use. By doing this, I was trying to avoid modifying `prepare_train_features` function.
Here is what I try:
```python
transform = Compose([ToPILImage(),... | 2021-03-11T14:39:34Z | https://github.com/huggingface/datasets/issues/2026 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | ## Intro
Currently there is one assumption that we need to change: a dataset is either fully in memory (dataset._data_files is empty), or the dataset can be reloaded from disk with memory mapping (using the dataset._data_files).
This assumption is used for pickling for example:
- in-memory dataset can just be pick... | 2021-03-30T14:46:53Z | https://github.com/huggingface/datasets/pull/2025 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | On Jan 18, XQuAD was updated with a new Romanian validation file ([xquad commit link](https://github.com/deepmind/xquad/commit/60cac411649156efb6aab9dd4c9cde787a2c0345))
| 2021-03-15T10:08:17Z | https://github.com/huggingface/datasets/pull/2023 | {
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https://api.github.com/repos/huggingface/datasets/issues/2022/comments | https://api.github.com/repos/huggingface/datasets/issues/2022/timeline | 2021-03-16T14:05:05Z | null | completed | MDU6SXNzdWU4Mjc0MzUwMzM= | closed | [] | null | 2,022 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | Hi there,
I am loading `.tsv` file via `load_dataset` and subsequently split the rows into training and test set via the `ReadInstruction` API like so:
```python
split = {
'train': ReadInstruction('train', to=90, unit='%'),
'test': ReadInstruction('train', from_=-10, unit='%')
}
dataset = load_datase... | 2021-03-16T14:06:08Z | https://github.com/huggingface/datasets/issues/2022 | {
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https://api.github.com/repos/huggingface/datasets/issues/2021/comments | https://api.github.com/repos/huggingface/datasets/issues/2021/timeline | 2021-03-13T10:07:41Z | null | completed | MDU6SXNzdWU4MjY5ODgwMTY= | closed | [] | null | 2,021 | {
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"gists_url": "htt... | Interactively doing save_to_disk and load_from_disk corrupts the datasets object? | https://api.github.com/repos/huggingface/datasets/issues/2021/events | null | https://api.github.com/repos/huggingface/datasets/issues/2021/labels{/name} | 2021-03-10T02:48:34Z | null | false | null | null | 826,988,016 | [] | https://api.github.com/repos/huggingface/datasets/issues/2021 | [
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] | https://api.github.com/repos/huggingface/datasets | NONE | dataset_info.json file saved after using save_to_disk gets corrupted as follows.
Is there a way to disable the cache that will save to /tmp/huggiface/datastes ?
I have a feeling there is a seri... | 2021-03-13T10:07:41Z | https://github.com/huggingface/datasets/issues/2021 | {
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https://api.github.com/repos/huggingface/datasets/issues/2020/comments | https://api.github.com/repos/huggingface/datasets/issues/2020/timeline | 2021-03-11T13:33:37Z | null | null | MDExOlB1bGxSZXF1ZXN0NTg4OTE3MjYx | closed | [] | false | 2,020 | {
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"gists_url"... | Remove unnecessary docstart check in conll-like datasets | https://api.github.com/repos/huggingface/datasets/issues/2020/events | null | https://api.github.com/repos/huggingface/datasets/issues/2020/labels{/name} | 2021-03-10T02:20:16Z | null | false | null | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Related to this PR: #1998
Additionally, this PR adds the docstart note to the conll2002 dataset card ([link](https://raw.githubusercontent.com/teropa/nlp/master/resources/corpora/conll2002/ned.train) to the raw data with `DOCSTART` lines).
| 2021-03-11T13:33:37Z | https://github.com/huggingface/datasets/pull/2020 | {
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https://api.github.com/repos/huggingface/datasets/issues/2019/comments | https://api.github.com/repos/huggingface/datasets/issues/2019/timeline | 2021-03-11T16:14:19Z | null | null | MDExOlB1bGxSZXF1ZXN0NTg4NjEyODgy | closed | [] | false | 2,019 | {
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"gists_url"... | Replace print with logging in dataset scripts | https://api.github.com/repos/huggingface/datasets/issues/2019/events | null | https://api.github.com/repos/huggingface/datasets/issues/2019/labels{/name} | 2021-03-09T20:59:34Z | null | false | null | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Replaces `print(...)` in the dataset scripts with the library logger. | 2021-03-12T10:09:01Z | https://github.com/huggingface/datasets/pull/2019 | {
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... | Md gender card update | https://api.github.com/repos/huggingface/datasets/issues/2018/events | null | https://api.github.com/repos/huggingface/datasets/issues/2018/labels{/name} | 2021-03-09T18:57:20Z | null | false | null | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | I updated the descriptions of the datasets as they appear in the HF repo and the descriptions of the source datasets according to what I could find from the paper and the references. I'm still a little unclear about some of the fields of the different configs, and there was little info on the word list and name list. I... | 2021-03-12T17:31:00Z | https://github.com/huggingface/datasets/pull/2018 | {
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https://api.github.com/repos/huggingface/datasets/issues/2017/comments | https://api.github.com/repos/huggingface/datasets/issues/2017/timeline | 2021-03-17T12:32:07Z | null | null | MDExOlB1bGxSZXF1ZXN0NTg4NDMyNDc2 | closed | [] | true | 2,017 | {
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"gists_url"... | Add TF-based Features to handle different modes of data | https://api.github.com/repos/huggingface/datasets/issues/2017/events | null | https://api.github.com/repos/huggingface/datasets/issues/2017/labels{/name} | 2021-03-09T18:29:52Z | null | false | null | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Hi,
I am creating this draft PR to work on add features similar to [TF datasets](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/core/features). I'll be starting with `Tensor` and `FeatureConnector` classes, and build upon them to add other features as well. This is a work in progress. | 2021-03-17T12:32:08Z | https://github.com/huggingface/datasets/pull/2017 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | . | 2021-03-11T18:01:03Z | https://github.com/huggingface/datasets/pull/2016 | {
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