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classes |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
705,672,208 | https://api.github.com/repos/huggingface/datasets/issues/655 | https://github.com/huggingface/datasets/pull/655 | 655 | added Winogrande debiased subset | closed | 2 | 2020-09-21T14:51:08 | 2020-09-21T16:20:40 | 2020-09-21T16:16:04 | TevenLeScao | [] | The [Winogrande](https://arxiv.org/abs/1907.10641) paper mentions a `debiased` subset that wasn't in the first release; this PR adds it. | true |
705,511,058 | https://api.github.com/repos/huggingface/datasets/issues/654 | https://github.com/huggingface/datasets/pull/654 | 654 | Allow empty inputs in metrics | closed | 0 | 2020-09-21T11:26:36 | 2020-10-06T03:51:48 | 2020-09-21T16:13:38 | lhoestq | [] | There was an arrow error when trying to compute a metric with empty inputs. The error was occurring when reading the arrow file, before calling metric._compute. | true |
705,482,391 | https://api.github.com/repos/huggingface/datasets/issues/653 | https://github.com/huggingface/datasets/pull/653 | 653 | handle data alteration when trying type | closed | 0 | 2020-09-21T10:41:49 | 2020-09-21T16:13:06 | 2020-09-21T16:13:05 | lhoestq | [] | Fix #649
The bug came from the type inference that didn't handle a weird case in Pyarrow.
Indeed this code runs without error but alters the data in arrow:
```python
import pyarrow as pa
type = pa.struct({"a": pa.struct({"b": pa.string()})})
array_with_altered_data = pa.array([{"a": {"b": "foo", "c": "bar"}}... | true |
705,390,850 | https://api.github.com/repos/huggingface/datasets/issues/652 | https://github.com/huggingface/datasets/pull/652 | 652 | handle connection error in download_prepared_from_hf_gcs | closed | 0 | 2020-09-21T08:21:11 | 2020-09-21T08:28:43 | 2020-09-21T08:28:42 | lhoestq | [] | Fix #647 | true |
705,212,034 | https://api.github.com/repos/huggingface/datasets/issues/651 | https://github.com/huggingface/datasets/issues/651 | 651 | Problem with JSON dataset format | open | 2 | 2020-09-20T23:57:14 | 2020-09-21T12:14:24 | null | vikigenius | [] | I have a local json dataset with the following form.
{
'id01234': {'key1': value1, 'key2': value2, 'key3': value3},
'id01235': {'key1': value1, 'key2': value2, 'key3': value3},
.
.
.
'id09999': {'key1': value1, 'key2': value2, 'key3': value3}
}
Note that instead of a list of records i... | false |
704,861,844 | https://api.github.com/repos/huggingface/datasets/issues/650 | https://github.com/huggingface/datasets/issues/650 | 650 | dummy data testing can't test datasets using `dl_manager.extract` in `_split_generators` | closed | 4 | 2020-09-19T11:07:03 | 2020-09-22T11:54:10 | 2020-09-22T11:54:09 | richarddwang | [] | Hi, I recently want to add a dataset whose source data is like this
```
openwebtext.tar.xz
|__ openwebtext
|__subset000.xz
| |__ ....txt
| |__ ....txt
| ...
|__ subset001.xz
|
....
```
So I wrote `openwebtext.py` like this
```
d... | false |
704,838,415 | https://api.github.com/repos/huggingface/datasets/issues/649 | https://github.com/huggingface/datasets/issues/649 | 649 | Inconsistent behavior in map | closed | 1 | 2020-09-19T08:41:12 | 2020-09-21T16:13:05 | 2020-09-21T16:13:05 | krandiash | [
"bug"
] | I'm observing inconsistent behavior when applying .map(). This happens specifically when I'm incrementally adding onto a feature that is a nested dictionary. Here's a simple example that reproduces the problem.
```python
import datasets
# Dataset with a single feature called 'field' consisting of two examples
d... | false |
704,753,123 | https://api.github.com/repos/huggingface/datasets/issues/648 | https://github.com/huggingface/datasets/issues/648 | 648 | offset overflow when multiprocessing batched map on large datasets. | closed | 6 | 2020-09-19T02:15:11 | 2025-06-17T12:56:07 | 2020-09-19T16:46:31 | richarddwang | [
"bug"
] | It only happened when "multiprocessing" + "batched" + "large dataset" at the same time.
```
def bprocess(examples):
examples['len'] = []
for text in examples['text']:
examples['len'].append(len(text))
return examples
wiki.map(brpocess, batched=True, num_proc=8)
```
```
----------------------------... | false |
704,734,764 | https://api.github.com/repos/huggingface/datasets/issues/647 | https://github.com/huggingface/datasets/issues/647 | 647 | Cannot download dataset_info.json | closed | 4 | 2020-09-19T01:35:15 | 2020-09-21T08:28:42 | 2020-09-21T08:28:42 | chiyuzhang94 | [] | I am running my job on a cloud server where does not provide for connections from the standard compute nodes to outside resources. Hence, when I use `dataset.load_dataset()` to load data, I got an error like this:
```
ConnectionError: Couldn't reach https://storage.googleapis.com/huggingface-nlp/cache/datasets/text... | false |
704,607,371 | https://api.github.com/repos/huggingface/datasets/issues/646 | https://github.com/huggingface/datasets/pull/646 | 646 | Fix docs typos | closed | 0 | 2020-09-18T19:32:27 | 2020-09-21T16:30:54 | 2020-09-21T16:14:12 | mariosasko | [] | This PR fixes few typos in the docs and the error in the code snippet in the set_format section in docs/source/torch_tensorflow.rst. `torch.utils.data.Dataloader` expects padded batches so it throws an error due to not being able to stack the unpadded tensors. If we follow the Quick tour from the docs where they add th... | true |
704,542,234 | https://api.github.com/repos/huggingface/datasets/issues/645 | https://github.com/huggingface/datasets/pull/645 | 645 | Don't use take on dataset table in pyarrow 1.0.x | closed | 4 | 2020-09-18T17:31:34 | 2023-09-19T07:59:19 | 2020-09-19T16:46:31 | lhoestq | [] | Fix #615 | true |
704,534,501 | https://api.github.com/repos/huggingface/datasets/issues/644 | https://github.com/huggingface/datasets/pull/644 | 644 | Better windows support | closed | 1 | 2020-09-18T17:17:36 | 2020-09-25T14:02:30 | 2020-09-25T14:02:28 | lhoestq | [] | There are a few differences in the behavior of python and pyarrow on windows.
For example there are restrictions when accessing/deleting files that are open
Fix #590 | true |
704,477,164 | https://api.github.com/repos/huggingface/datasets/issues/643 | https://github.com/huggingface/datasets/issues/643 | 643 | Caching processed dataset at wrong folder | closed | 13 | 2020-09-18T15:41:26 | 2022-02-16T14:53:29 | 2022-02-16T14:53:29 | mrm8488 | [
"bug"
] | Hi guys, I run this on my Colab (PRO):
```python
from datasets import load_dataset
dataset = load_dataset('text', data_files='/content/corpus.txt', cache_dir='/content/drive/My Drive', split='train')
def encode(examples):
return tokenizer(examples['text'], truncation=True, padding='max_length')
dataset = ... | false |
704,397,499 | https://api.github.com/repos/huggingface/datasets/issues/642 | https://github.com/huggingface/datasets/pull/642 | 642 | Rename wnut fields | closed | 0 | 2020-09-18T13:51:31 | 2020-09-18T17:18:31 | 2020-09-18T17:18:30 | lhoestq | [] | As mentioned in #641 it would be cool to have it follow the naming of the other NER datasets | true |
704,373,940 | https://api.github.com/repos/huggingface/datasets/issues/641 | https://github.com/huggingface/datasets/pull/641 | 641 | Add Polyglot-NER Dataset | closed | 7 | 2020-09-18T13:21:44 | 2020-09-20T03:04:43 | 2020-09-20T03:04:43 | joeddav | [] | Adds the [Polyglot-NER dataset](https://sites.google.com/site/rmyeid/projects/polylgot-ner) with named entity tags for 40 languages. I include separate configs for each language as well as a `combined` config which lumps them all together. | true |
704,311,758 | https://api.github.com/repos/huggingface/datasets/issues/640 | https://github.com/huggingface/datasets/pull/640 | 640 | Make shuffle compatible with temp_seed | closed | 0 | 2020-09-18T11:38:58 | 2020-09-18T11:47:51 | 2020-09-18T11:47:50 | lhoestq | [] | This code used to return different dataset at each run
```python
import dataset as ds
dataset = ...
with ds.temp_seed(42):
shuffled = dataset.shuffle()
```
Now it returns the same one since the seed is set | true |
704,217,963 | https://api.github.com/repos/huggingface/datasets/issues/639 | https://github.com/huggingface/datasets/pull/639 | 639 | Update glue QQP checksum | closed | 0 | 2020-09-18T09:08:15 | 2020-09-18T11:37:08 | 2020-09-18T11:37:07 | lhoestq | [] | Fix #638 | true |
704,146,956 | https://api.github.com/repos/huggingface/datasets/issues/638 | https://github.com/huggingface/datasets/issues/638 | 638 | GLUE/QQP dataset: NonMatchingChecksumError | closed | 1 | 2020-09-18T07:09:10 | 2020-09-18T11:37:07 | 2020-09-18T11:37:07 | richarddwang | [] | Hi @lhoestq , I know you are busy and there are also other important issues. But if this is easy to be fixed, I am shamelessly wondering if you can give me some help , so I can evaluate my models and restart with my developing cycle asap. 😚
datasets version: editable install of master at 9/17
`datasets.load_data... | false |
703,539,909 | https://api.github.com/repos/huggingface/datasets/issues/637 | https://github.com/huggingface/datasets/pull/637 | 637 | Add MATINF | closed | 0 | 2020-09-17T12:24:53 | 2020-09-17T13:23:18 | 2020-09-17T13:23:17 | JetRunner | [] | true | |
702,883,989 | https://api.github.com/repos/huggingface/datasets/issues/636 | https://github.com/huggingface/datasets/pull/636 | 636 | Consistent ner features | closed | 0 | 2020-09-16T15:56:25 | 2020-09-17T09:52:59 | 2020-09-17T09:52:58 | lhoestq | [] | As discussed in #613 , this PR aims at making NER feature names consistent across datasets.
I changed the feature names of LinCE and XTREME/PAN-X | true |
702,822,439 | https://api.github.com/repos/huggingface/datasets/issues/635 | https://github.com/huggingface/datasets/pull/635 | 635 | Loglevel | closed | 2 | 2020-09-16T14:37:53 | 2020-09-17T09:52:19 | 2020-09-17T09:52:18 | lhoestq | [] | Continuation of #618 | true |
702,676,041 | https://api.github.com/repos/huggingface/datasets/issues/634 | https://github.com/huggingface/datasets/pull/634 | 634 | Add ConLL-2000 dataset | closed | 0 | 2020-09-16T11:14:11 | 2020-09-17T10:38:10 | 2020-09-17T10:38:10 | vblagoje | [] | Adds ConLL-2000 dataset used for text chunking. See https://www.clips.uantwerpen.be/conll2000/chunking/ for details and [motivation](https://github.com/huggingface/transformers/pull/7041#issuecomment-692710948) behind this PR | true |
702,440,484 | https://api.github.com/repos/huggingface/datasets/issues/633 | https://github.com/huggingface/datasets/issues/633 | 633 | Load large text file for LM pre-training resulting in OOM | open | 27 | 2020-09-16T04:33:15 | 2021-02-16T12:02:01 | null | leethu2012 | [] | I tried to pretrain Longformer using transformers and datasets. But I got OOM issues with loading a large text file. My script is almost like this:
```python
from datasets import load_dataset
@dataclass
class DataCollatorForDatasetsLanguageModeling(DataCollatorForLanguageModeling):
"""
Data collator u... | false |
702,358,124 | https://api.github.com/repos/huggingface/datasets/issues/632 | https://github.com/huggingface/datasets/pull/632 | 632 | Fix typos in the loading datasets docs | closed | 1 | 2020-09-16T00:27:41 | 2020-09-21T16:31:11 | 2020-09-16T06:52:44 | mariosasko | [] | This PR fixes two typos in the loading datasets docs, one of them being a broken link to the `load_dataset` function. | true |
701,711,255 | https://api.github.com/repos/huggingface/datasets/issues/631 | https://github.com/huggingface/datasets/pull/631 | 631 | Fix text delimiter | closed | 5 | 2020-09-15T08:08:42 | 2020-09-22T15:03:06 | 2020-09-15T08:26:25 | lhoestq | [] | I changed the delimiter in the `text` dataset script.
It should fix the `pyarrow.lib.ArrowInvalid: CSV parse error` from #622
I changed the delimiter to an unused ascii character that is not present in text files : `\b` | true |
701,636,350 | https://api.github.com/repos/huggingface/datasets/issues/630 | https://github.com/huggingface/datasets/issues/630 | 630 | Text dataset not working with large files | closed | 11 | 2020-09-15T06:02:36 | 2020-09-25T22:21:43 | 2020-09-25T22:21:43 | ksjae | [] | ```
Traceback (most recent call last):
File "examples/language-modeling/run_language_modeling.py", line 333, in <module>
main()
File "examples/language-modeling/run_language_modeling.py", line 262, in main
get_dataset(data_args, tokenizer=tokenizer, cache_dir=model_args.cache_dir) if training_args.do_t... | false |
701,517,550 | https://api.github.com/repos/huggingface/datasets/issues/629 | https://github.com/huggingface/datasets/issues/629 | 629 | straddling object straddles two block boundaries | closed | 1 | 2020-09-15T00:30:46 | 2020-09-15T00:36:17 | 2020-09-15T00:32:17 | bharaniabhishek123 | [] | I am trying to read json data (it's an array with lots of dictionaries) and getting block boundaries issue as below :
I tried calling read_json with readOptions but no luck .
```
table = json.read_json(fn)
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "pyarrow/_json.pyx", li... | false |
701,496,053 | https://api.github.com/repos/huggingface/datasets/issues/628 | https://github.com/huggingface/datasets/pull/628 | 628 | Update docs links in the contribution guideline | closed | 1 | 2020-09-14T23:27:19 | 2020-11-02T21:03:23 | 2020-09-15T06:19:35 | M-Salti | [] | Fixed the `add a dataset` and `share a dataset` links in the contribution guideline to refer to the new docs website. | true |
701,411,661 | https://api.github.com/repos/huggingface/datasets/issues/627 | https://github.com/huggingface/datasets/pull/627 | 627 | fix (#619) MLQA features names | closed | 0 | 2020-09-14T20:41:59 | 2020-11-02T21:04:32 | 2020-09-16T06:54:11 | M-Salti | [] | Fixed the features names as suggested in (#619) in the `_generate_examples` and `_info` methods in the MLQA loading script and also changed the names in the `dataset_infos.json` file. | true |
701,352,605 | https://api.github.com/repos/huggingface/datasets/issues/626 | https://github.com/huggingface/datasets/pull/626 | 626 | Update GLUE URLs (now hosted on FB) | closed | 0 | 2020-09-14T19:05:39 | 2020-09-16T06:53:18 | 2020-09-16T06:53:18 | jeswan | [] | NYU is switching dataset hosting from Google to FB. This PR closes https://github.com/huggingface/datasets/issues/608 and is necessary for https://github.com/jiant-dev/jiant/issues/161. This PR updates the data URLs based on changes made in https://github.com/nyu-mll/jiant/pull/1112.
Note: rebased on huggingface/dat... | true |
701,057,799 | https://api.github.com/repos/huggingface/datasets/issues/625 | https://github.com/huggingface/datasets/issues/625 | 625 | dtype of tensors should be preserved | closed | 9 | 2020-09-14T12:38:05 | 2021-08-17T08:30:04 | 2021-08-17T08:30:04 | BramVanroy | [] | After switching to `datasets` my model just broke. After a weekend of debugging, the issue was that my model could not handle the double that the Dataset provided, as it expected a float (but didn't give a warning, which seems a [PyTorch issue](https://discuss.pytorch.org/t/is-it-required-that-input-and-hidden-for-gru-... | false |
700,541,628 | https://api.github.com/repos/huggingface/datasets/issues/624 | https://github.com/huggingface/datasets/issues/624 | 624 | Add learningq dataset | open | 0 | 2020-09-13T10:20:27 | 2020-09-14T09:50:02 | null | krrishdholakia | [
"dataset request"
] | Hi,
Thank you again for this amazing repo.
Would it be possible for y'all to add the LearningQ dataset - https://github.com/AngusGLChen/LearningQ ?
| false |
700,235,308 | https://api.github.com/repos/huggingface/datasets/issues/623 | https://github.com/huggingface/datasets/issues/623 | 623 | Custom feature types in `load_dataset` from CSV | closed | 7 | 2020-09-12T13:21:34 | 2020-09-30T19:51:43 | 2020-09-30T08:39:54 | lvwerra | [
"enhancement"
] | I am trying to load a local file with the `load_dataset` function and I want to predefine the feature types with the `features` argument. However, the types are always the same independent of the value of `features`.
I am working with the local files from the emotion dataset. To get the data you can use the followi... | false |
700,225,826 | https://api.github.com/repos/huggingface/datasets/issues/622 | https://github.com/huggingface/datasets/issues/622 | 622 | load_dataset for text files not working | closed | 41 | 2020-09-12T12:49:28 | 2020-10-28T11:07:31 | 2020-10-28T11:07:30 | BramVanroy | [
"dataset bug"
] | Trying the following snippet, I get different problems on Linux and Windows.
```python
dataset = load_dataset("text", data_files="data.txt")
# or
dataset = load_dataset("text", data_files=["data.txt"])
```
(ps [This example](https://huggingface.co/docs/datasets/loading_datasets.html#json-files) shows that ... | false |
700,171,097 | https://api.github.com/repos/huggingface/datasets/issues/621 | https://github.com/huggingface/datasets/pull/621 | 621 | [docs] Index: The native emoji looks kinda ugly in large size | closed | 0 | 2020-09-12T09:48:40 | 2020-09-15T06:20:03 | 2020-09-15T06:20:02 | julien-c | [] | true | |
699,815,135 | https://api.github.com/repos/huggingface/datasets/issues/620 | https://github.com/huggingface/datasets/issues/620 | 620 | map/filter multiprocessing raises errors and corrupts datasets | closed | 22 | 2020-09-11T22:30:06 | 2020-10-08T16:31:47 | 2020-10-08T16:31:46 | timothyjlaurent | [
"bug"
] | After upgrading to the 1.0 started seeing errors in my data loading script after enabling multiprocessing.
```python
...
ner_ds_dict = ner_ds.train_test_split(test_size=test_pct, shuffle=True, seed=seed)
ner_ds_dict["validation"] = ner_ds_dict["test"]
rel_ds_dict = rel_ds.train_test_split(test_si... | false |
699,733,612 | https://api.github.com/repos/huggingface/datasets/issues/619 | https://github.com/huggingface/datasets/issues/619 | 619 | Mistakes in MLQA features names | closed | 1 | 2020-09-11T20:46:23 | 2020-09-16T06:59:19 | 2020-09-16T06:59:19 | M-Salti | [] | I think the following features in MLQA shouldn't be named the way they are:
1. `questions` (should be `question`)
2. `ids` (should be `id`)
3. `start` (should be `answer_start`)
The reasons I'm suggesting these features be renamed are:
* To make them consistent with other QA datasets like SQuAD, XQuAD, TyDiQA et... | false |
699,684,831 | https://api.github.com/repos/huggingface/datasets/issues/618 | https://github.com/huggingface/datasets/pull/618 | 618 | sync logging utils with transformers | closed | 12 | 2020-09-11T19:46:13 | 2020-09-17T15:40:59 | 2020-09-17T09:53:47 | stas00 | [] | sync the docs/code with the recent changes in transformers' `logging` utils:
1. change the default level to `WARNING`
2. add `DATASETS_VERBOSITY` env var
3. expand docs | true |
699,472,596 | https://api.github.com/repos/huggingface/datasets/issues/617 | https://github.com/huggingface/datasets/issues/617 | 617 | Compare different Rouge implementations | closed | 7 | 2020-09-11T15:49:32 | 2023-03-22T12:08:44 | 2020-10-02T09:52:18 | ibeltagy | [] | I used RougeL implementation provided in `datasets` [here](https://github.com/huggingface/datasets/blob/master/metrics/rouge/rouge.py) and it gives numbers that match those reported in the pegasus paper but very different from those reported in other papers, [this](https://arxiv.org/pdf/1909.03186.pdf) for example.
Ca... | false |
699,462,293 | https://api.github.com/repos/huggingface/datasets/issues/616 | https://github.com/huggingface/datasets/issues/616 | 616 | UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors | open | 14 | 2020-09-11T15:39:16 | 2021-07-22T21:12:21 | null | BramVanroy | [] | I am trying out the library and want to load in pickled data with `from_dict`. In that dict, one column `text` should be tokenized and the other (an embedding vector) should be retained. All other columns should be removed. When I eventually try to set the format for the columns with `set_format` I am getting this stra... | false |
699,410,773 | https://api.github.com/repos/huggingface/datasets/issues/615 | https://github.com/huggingface/datasets/issues/615 | 615 | Offset overflow when slicing a big dataset with an array of indices in Pyarrow >= 1.0.0 | closed | 16 | 2020-09-11T14:50:38 | 2024-05-02T06:53:15 | 2020-09-19T16:46:31 | lhoestq | [] | How to reproduce:
```python
from datasets import load_dataset
wiki = load_dataset("wikipedia", "20200501.en", split="train")
wiki[[0]]
---------------------------------------------------------------------------
ArrowInvalid Traceback (most recent call last)
<ipython-input-13-38... | false |
699,177,110 | https://api.github.com/repos/huggingface/datasets/issues/614 | https://github.com/huggingface/datasets/pull/614 | 614 | [doc] Update deploy.sh | closed | 0 | 2020-09-11T11:06:13 | 2020-09-14T08:49:19 | 2020-09-14T08:49:17 | thomwolf | [] | true | |
699,117,070 | https://api.github.com/repos/huggingface/datasets/issues/613 | https://github.com/huggingface/datasets/pull/613 | 613 | Add CoNLL-2003 shared task dataset | closed | 7 | 2020-09-11T10:02:30 | 2020-10-05T10:43:05 | 2020-09-17T10:36:38 | vblagoje | [] | Please consider adding CoNLL-2003 shared task dataset as it's beneficial for token classification tasks. The motivation behind this PR is the [PR](https://github.com/huggingface/transformers/pull/7041) in the transformers project. This dataset would be not only useful for the usual run-of-the-mill NER tasks but also fo... | true |
699,008,644 | https://api.github.com/repos/huggingface/datasets/issues/612 | https://github.com/huggingface/datasets/pull/612 | 612 | add multi-proc to dataset dict | closed | 0 | 2020-09-11T08:18:13 | 2020-09-11T10:20:13 | 2020-09-11T10:20:11 | thomwolf | [] | Add multi-proc to `DatasetDict` | true |
698,863,988 | https://api.github.com/repos/huggingface/datasets/issues/611 | https://github.com/huggingface/datasets/issues/611 | 611 | ArrowCapacityError: List array cannot contain more than 2147483646 child elements, have 2147483648 | closed | 6 | 2020-09-11T05:29:12 | 2022-06-01T15:11:43 | 2022-06-01T15:11:43 | sangyx | [] | Hi, I'm trying to load a dataset from Dataframe, but I get the error:
```bash
---------------------------------------------------------------------------
ArrowCapacityError Traceback (most recent call last)
<ipython-input-7-146b6b495963> in <module>
----> 1 dataset = Dataset.from_pandas(emb)... | false |
698,349,388 | https://api.github.com/repos/huggingface/datasets/issues/610 | https://github.com/huggingface/datasets/issues/610 | 610 | Load text file for RoBERTa pre-training. | closed | 43 | 2020-09-10T18:41:38 | 2022-11-22T13:51:24 | 2022-11-22T13:51:23 | chiyuzhang94 | [] | I migrate my question from https://github.com/huggingface/transformers/pull/4009#issuecomment-690039444
I tried to train a Roberta from scratch using transformers. But I got OOM issues with loading a large text file.
According to the suggestion from @thomwolf , I tried to implement `datasets` to load my text file.... | false |
698,323,989 | https://api.github.com/repos/huggingface/datasets/issues/609 | https://github.com/huggingface/datasets/pull/609 | 609 | Update GLUE URLs (now hosted on FB) | closed | 2 | 2020-09-10T18:16:32 | 2020-09-14T19:06:02 | 2020-09-14T19:06:01 | jeswan | [] | NYU is switching dataset hosting from Google to FB. This PR closes https://github.com/huggingface/datasets/issues/608 and is necessary for https://github.com/jiant-dev/jiant/issues/161. This PR updates the data URLs based on changes made in https://github.com/nyu-mll/jiant/pull/1112. | true |
698,291,156 | https://api.github.com/repos/huggingface/datasets/issues/608 | https://github.com/huggingface/datasets/issues/608 | 608 | Don't use the old NYU GLUE dataset URLs | closed | 1 | 2020-09-10T17:47:02 | 2020-09-16T06:53:18 | 2020-09-16T06:53:18 | jeswan | [] | NYU is switching dataset hosting from Google to FB. Initial changes to `datasets` are in https://github.com/jeswan/nlp/commit/b7d4a071d432592ded971e30ef73330529de25ce. What tests do you suggest I run before opening a PR?
See: https://github.com/jiant-dev/jiant/issues/161 and https://github.com/nyu-mll/jiant/pull/111... | false |
698,094,442 | https://api.github.com/repos/huggingface/datasets/issues/607 | https://github.com/huggingface/datasets/pull/607 | 607 | Add transmit_format wrapper and tests | closed | 0 | 2020-09-10T15:03:50 | 2020-09-10T15:21:48 | 2020-09-10T15:21:47 | lhoestq | [] | Same as #605 but using a decorator on-top of dataset transforms that are not in place | true |
698,050,442 | https://api.github.com/repos/huggingface/datasets/issues/606 | https://github.com/huggingface/datasets/pull/606 | 606 | Quick fix :) | closed | 1 | 2020-09-10T14:32:06 | 2020-09-10T16:18:32 | 2020-09-10T16:18:30 | thomwolf | [] | `nlp` => `datasets` | true |
697,887,401 | https://api.github.com/repos/huggingface/datasets/issues/605 | https://github.com/huggingface/datasets/pull/605 | 605 | [Datasets] Transmit format to children | closed | 1 | 2020-09-10T12:30:18 | 2023-09-24T09:49:47 | 2020-09-10T16:15:21 | thomwolf | [] | Transmit format to children obtained when processing a dataset.
Added a test.
When concatenating datasets, if the formats are disparate, the concatenated dataset has a format reset to defaults. | true |
697,774,581 | https://api.github.com/repos/huggingface/datasets/issues/604 | https://github.com/huggingface/datasets/pull/604 | 604 | Update bucket prefix | closed | 0 | 2020-09-10T11:01:13 | 2020-09-10T12:45:33 | 2020-09-10T12:45:32 | lhoestq | [] | cc @julien-c | true |
697,758,750 | https://api.github.com/repos/huggingface/datasets/issues/603 | https://github.com/huggingface/datasets/pull/603 | 603 | Set scripts version to master | closed | 0 | 2020-09-10T10:47:44 | 2020-09-10T11:02:05 | 2020-09-10T11:02:04 | lhoestq | [] | By default the scripts version is master, so that if the library is installed with
```
pip install git+http://github.com/huggingface/nlp.git
```
or
```
git clone http://github.com/huggingface/nlp.git
pip install -e ./nlp
```
will use the latest scripts, and not the ones from the previous version. | true |
697,636,605 | https://api.github.com/repos/huggingface/datasets/issues/602 | https://github.com/huggingface/datasets/pull/602 | 602 | apply offset to indices in multiprocessed map | closed | 0 | 2020-09-10T08:54:30 | 2020-09-10T11:03:39 | 2020-09-10T11:03:37 | lhoestq | [] | Fix #597
I fixed the indices by applying an offset.
I added the case to our tests to make sure it doesn't happen again.
I also added the message proposed by @thomwolf in #597
```python
>>> d.select(range(10)).map(fn, with_indices=True, batched=True, num_proc=2, load_from_cache_file=False)
Done writing 10 ... | true |
697,574,848 | https://api.github.com/repos/huggingface/datasets/issues/601 | https://github.com/huggingface/datasets/pull/601 | 601 | check if trasnformers has PreTrainedTokenizerBase | closed | 0 | 2020-09-10T07:54:56 | 2020-09-10T11:01:37 | 2020-09-10T11:01:36 | lhoestq | [] | Fix #598 | true |
697,496,913 | https://api.github.com/repos/huggingface/datasets/issues/600 | https://github.com/huggingface/datasets/issues/600 | 600 | Pickling error when loading dataset | closed | 5 | 2020-09-10T06:28:08 | 2020-09-25T14:31:54 | 2020-09-25T14:31:54 | kandorm | [] | Hi,
I modified line 136 in the original [run_language_modeling.py](https://github.com/huggingface/transformers/blob/master/examples/language-modeling/run_language_modeling.py) as:
```
# line 136: return LineByLineTextDataset(tokenizer=tokenizer, file_path=file_path, block_size=args.block_size)
dataset = load_da... | false |
697,377,786 | https://api.github.com/repos/huggingface/datasets/issues/599 | https://github.com/huggingface/datasets/pull/599 | 599 | Add MATINF dataset | closed | 2 | 2020-09-10T03:31:09 | 2023-09-24T09:50:08 | 2020-09-17T12:17:25 | JetRunner | [] | @lhoestq The command to create metadata failed. I guess it's because the zip is not downloaded from a remote address? How to solve that? Also the CI fails and I don't know how to fix that :( | true |
697,156,501 | https://api.github.com/repos/huggingface/datasets/issues/598 | https://github.com/huggingface/datasets/issues/598 | 598 | The current version of the package on github has an error when loading dataset | closed | 3 | 2020-09-09T21:03:23 | 2020-09-10T06:25:21 | 2020-09-09T22:57:28 | zeyuyun1 | [] | Instead of downloading the package from pip, downloading the version from source will result in an error when loading dataset (the pip version is completely fine):
To recreate the error:
First, installing nlp directly from source:
```
git clone https://github.com/huggingface/nlp.git
cd nlp
pip install -e .
``... | false |
697,112,029 | https://api.github.com/repos/huggingface/datasets/issues/597 | https://github.com/huggingface/datasets/issues/597 | 597 | Indices incorrect with multiprocessing | closed | 2 | 2020-09-09T19:50:56 | 2020-09-10T11:03:37 | 2020-09-10T11:03:37 | joeddav | [] | When `num_proc` > 1, the indices argument passed to the map function is incorrect:
```python
d = load_dataset('imdb', split='test[:1%]')
def fn(x, inds):
print(inds)
return x
d.select(range(10)).map(fn, with_indices=True, batched=True)
# [0, 1]
# [0, 1, 2, 3, 4, 5, 6, 7, 8, 9]
d.select(range(10... | false |
696,928,139 | https://api.github.com/repos/huggingface/datasets/issues/596 | https://github.com/huggingface/datasets/pull/596 | 596 | [style/quality] Moving to isort 5.0.0 + style/quality on datasets and metrics | closed | 1 | 2020-09-09T15:47:21 | 2020-09-10T10:05:04 | 2020-09-10T10:05:03 | thomwolf | [] | Move the repo to isort 5.0.0.
Also start testing style/quality on datasets and metrics.
Specific rule: we allow F401 (unused imports) in metrics to be able to add imports to detect early on missing dependencies.
Maybe we could add this in datasets but while cleaning this I've seen many example of really unused i... | true |
696,892,304 | https://api.github.com/repos/huggingface/datasets/issues/595 | https://github.com/huggingface/datasets/issues/595 | 595 | `Dataset`/`DatasetDict` has no attribute 'save_to_disk' | closed | 2 | 2020-09-09T15:01:52 | 2020-09-09T16:20:19 | 2020-09-09T16:20:18 | sudarshan85 | [] | Hi,
As the title indicates, both `Dataset` and `DatasetDict` classes don't seem to have the `save_to_disk` method. While the file [`arrow_dataset.py`](https://github.com/huggingface/nlp/blob/34bf0b03bfe03e7f77b8fec1cd48f5452c4fc7c1/src/nlp/arrow_dataset.py) in the repo here has the method, the file `arrow_dataset.p... | false |
696,816,893 | https://api.github.com/repos/huggingface/datasets/issues/594 | https://github.com/huggingface/datasets/pull/594 | 594 | Fix germeval url | closed | 0 | 2020-09-09T13:29:35 | 2020-09-09T13:34:35 | 2020-09-09T13:34:34 | lhoestq | [] | Continuation of #593 but without the dummy data hack | true |
696,679,182 | https://api.github.com/repos/huggingface/datasets/issues/593 | https://github.com/huggingface/datasets/pull/593 | 593 | GermEval 2014: new download urls | closed | 5 | 2020-09-09T10:07:29 | 2020-09-09T14:16:54 | 2020-09-09T13:35:15 | stefan-it | [] | Hi,
unfortunately, the download links for the GermEval 2014 dataset have changed: they're now located on a Google Drive.
I changed the URLs and bump version from 1.0.0 to 2.0.0. | true |
696,619,986 | https://api.github.com/repos/huggingface/datasets/issues/592 | https://github.com/huggingface/datasets/pull/592 | 592 | Test in memory and on disk | closed | 0 | 2020-09-09T08:59:30 | 2020-09-09T13:50:04 | 2020-09-09T13:50:03 | lhoestq | [] | I added test parameters to do every test both in memory and on disk.
I also found a bug in concatenate_dataset thanks to the new tests and fixed it. | true |
696,530,413 | https://api.github.com/repos/huggingface/datasets/issues/591 | https://github.com/huggingface/datasets/pull/591 | 591 | fix #589 (backward compat) | closed | 0 | 2020-09-09T07:33:13 | 2020-09-09T08:57:56 | 2020-09-09T08:57:55 | thomwolf | [] | Fix #589 | true |
696,501,827 | https://api.github.com/repos/huggingface/datasets/issues/590 | https://github.com/huggingface/datasets/issues/590 | 590 | The process cannot access the file because it is being used by another process (windows) | closed | 7 | 2020-09-09T07:01:36 | 2020-09-25T14:02:28 | 2020-09-25T14:02:28 | saareliad | [] | Hi, I consistently get the following error when developing in my PC (windows 10):
```
train_dataset = train_dataset.map(convert_to_features, batched=True)
File "C:\Users\saareliad\AppData\Local\Continuum\miniconda3\envs\py38\lib\site-packages\nlp\arrow_dataset.py", line 970, in map
shutil.move(tmp_file.... | false |
696,488,447 | https://api.github.com/repos/huggingface/datasets/issues/589 | https://github.com/huggingface/datasets/issues/589 | 589 | Cannot use nlp.load_dataset text, AttributeError: module 'nlp.utils' has no attribute 'logging' | closed | 0 | 2020-09-09T06:46:53 | 2020-09-09T08:57:54 | 2020-09-09T08:57:54 | ksjae | [] |
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/root/anaconda3/envs/pytorch/lib/python3.7/site-packages/nlp/load.py", line 533, in load_dataset
builder_cls = import_main_class(module_path, dataset=True)
File "/root/anaconda3/envs/pytorch/lib/python3.7/site-packages/nlp... | false |
695,249,809 | https://api.github.com/repos/huggingface/datasets/issues/588 | https://github.com/huggingface/datasets/pull/588 | 588 | Support pathlike obj in load dataset | closed | 0 | 2020-09-07T16:13:21 | 2020-09-08T07:45:19 | 2020-09-08T07:45:18 | lhoestq | [] | Fix #582
(I recreated the PR, I got an issue with git) | true |
695,246,018 | https://api.github.com/repos/huggingface/datasets/issues/587 | https://github.com/huggingface/datasets/pull/587 | 587 | Support pathlike obj in load dataset | closed | 0 | 2020-09-07T16:09:16 | 2020-09-07T16:10:35 | 2020-09-07T16:10:35 | lhoestq | [] | Fix #582 | true |
695,237,999 | https://api.github.com/repos/huggingface/datasets/issues/586 | https://github.com/huggingface/datasets/pull/586 | 586 | Better message when data files is empty | closed | 0 | 2020-09-07T15:59:57 | 2020-09-09T09:00:09 | 2020-09-09T09:00:08 | lhoestq | [] | Fix #581 | true |
695,191,209 | https://api.github.com/repos/huggingface/datasets/issues/585 | https://github.com/huggingface/datasets/pull/585 | 585 | Fix select for pyarrow < 1.0.0 | closed | 0 | 2020-09-07T15:02:52 | 2020-09-08T07:43:17 | 2020-09-08T07:43:15 | lhoestq | [] | Fix #583 | true |
695,186,652 | https://api.github.com/repos/huggingface/datasets/issues/584 | https://github.com/huggingface/datasets/pull/584 | 584 | Use github versioning | closed | 1 | 2020-09-07T14:58:15 | 2020-09-09T13:37:35 | 2020-09-09T13:37:34 | lhoestq | [] | Right now dataset scripts and metrics are downloaded from S3 which is in sync with master. It means that it's not currently possible to pin the dataset/metric script version.
To fix that I changed the download url from S3 to github, and adding a `version` parameter in `load_dataset` and `load_metric` to pin a certai... | true |
695,166,265 | https://api.github.com/repos/huggingface/datasets/issues/583 | https://github.com/huggingface/datasets/issues/583 | 583 | ArrowIndexError on Dataset.select | closed | 0 | 2020-09-07T14:36:29 | 2020-09-08T07:43:15 | 2020-09-08T07:43:15 | lhoestq | [] | If the indices table consists in several chunks, then `dataset.select` results in an `ArrowIndexError` error for pyarrow < 1.0.0
Example:
```python
from nlp import load_dataset
mnli = load_dataset("glue", "mnli", split="train")
shuffled = mnli.shuffle(seed=42)
mnli.select(list(range(len(mnli))))
```
rai... | false |
695,126,456 | https://api.github.com/repos/huggingface/datasets/issues/582 | https://github.com/huggingface/datasets/issues/582 | 582 | Allow for PathLike objects | closed | 0 | 2020-09-07T13:54:51 | 2020-09-08T07:45:17 | 2020-09-08T07:45:17 | BramVanroy | [] | Using PathLike objects as input for `load_dataset` does not seem to work. The following will throw an error.
```python
files = list(Path(r"D:\corpora\yourcorpus").glob("*.txt"))
dataset = load_dataset("text", data_files=files)
```
Traceback:
```
Traceback (most recent call last):
File "C:/dev/python/dut... | false |
695,120,517 | https://api.github.com/repos/huggingface/datasets/issues/581 | https://github.com/huggingface/datasets/issues/581 | 581 | Better error message when input file does not exist | closed | 0 | 2020-09-07T13:47:59 | 2020-09-09T09:00:07 | 2020-09-09T09:00:07 | BramVanroy | [] | In the following scenario, when `data_files` is an empty list, the stack trace and error message could be improved. This can probably be solved by checking for each file whether it actually exists and/or whether the argument is not false-y.
```python
dataset = load_dataset("text", data_files=[])
```
Example err... | false |
694,954,551 | https://api.github.com/repos/huggingface/datasets/issues/580 | https://github.com/huggingface/datasets/issues/580 | 580 | nlp re-creates already-there caches when using a script, but not within a shell | closed | 2 | 2020-09-07T10:23:50 | 2020-09-07T15:19:09 | 2020-09-07T14:26:41 | TevenLeScao | [] | `nlp` keeps creating new caches for the same file when launching `filter` from a script, and behaves correctly from within the shell.
Example: try running
```
import nlp
hans_easy_data = nlp.load_dataset('hans', split="validation").filter(lambda x: x['label'] == 0)
hans_hard_data = nlp.load_dataset('hans', s... | false |
694,947,599 | https://api.github.com/repos/huggingface/datasets/issues/579 | https://github.com/huggingface/datasets/pull/579 | 579 | Doc metrics | closed | 0 | 2020-09-07T10:15:24 | 2020-09-10T13:06:11 | 2020-09-10T13:06:10 | thomwolf | [] | Adding documentation on metrics loading/using/sharing | true |
694,849,940 | https://api.github.com/repos/huggingface/datasets/issues/578 | https://github.com/huggingface/datasets/pull/578 | 578 | Add CommonGen Dataset | closed | 0 | 2020-09-07T08:17:17 | 2020-09-07T11:50:29 | 2020-09-07T11:49:07 | JetRunner | [] | CC Authors:
@yuchenlin @MichaelZhouwang | true |
694,607,148 | https://api.github.com/repos/huggingface/datasets/issues/577 | https://github.com/huggingface/datasets/issues/577 | 577 | Some languages in wikipedia dataset are not loading | closed | 16 | 2020-09-07T01:16:29 | 2023-04-11T22:50:48 | 2022-10-11T11:16:04 | gaguilar | [] | Hi,
I am working with the `wikipedia` dataset and I have a script that goes over 92 of the available languages in that dataset. So far I have detected that `ar`, `af`, `an` are not loading. Other languages like `fr` and `en` are working fine. Here's how I am loading them:
```
import nlp
langs = ['ar'. 'af', '... | false |
694,348,645 | https://api.github.com/repos/huggingface/datasets/issues/576 | https://github.com/huggingface/datasets/pull/576 | 576 | Fix the code block in doc | closed | 1 | 2020-09-06T11:40:55 | 2020-09-07T07:37:32 | 2020-09-07T07:37:18 | JetRunner | [] | true | |
693,691,611 | https://api.github.com/repos/huggingface/datasets/issues/575 | https://github.com/huggingface/datasets/issues/575 | 575 | Couldn't reach certain URLs and for the ones that can be reached, code just blocks after downloading. | closed | 6 | 2020-09-04T21:46:25 | 2020-09-22T10:41:36 | 2020-09-22T10:41:36 | sudarshan85 | [] | Hi,
I'm following the [quick tour](https://huggingface.co/nlp/quicktour.html) and tried to load the glue dataset:
```
>>> from nlp import load_dataset
>>> dataset = load_dataset('glue', 'mrpc', split='train')
```
However, this ran into a `ConnectionError` saying it could not reach the URL (just pasting the la... | false |
693,364,853 | https://api.github.com/repos/huggingface/datasets/issues/574 | https://github.com/huggingface/datasets/pull/574 | 574 | Add modules cache | closed | 2 | 2020-09-04T16:30:03 | 2020-09-22T10:27:08 | 2020-09-07T09:01:35 | lhoestq | [] | As discusses in #554 , we should use a module cache directory outside of the python packages directory since we may not have write permissions.
I added a new HF_MODULES_PATH directory that is added to the python path when doing `import nlp`.
In this directory, a module `nlp_modules` is created so that datasets can ... | true |
693,091,790 | https://api.github.com/repos/huggingface/datasets/issues/573 | https://github.com/huggingface/datasets/pull/573 | 573 | Faster caching for text dataset | closed | 0 | 2020-09-04T11:58:34 | 2020-09-04T12:53:24 | 2020-09-04T12:53:23 | lhoestq | [] | As mentioned in #546 and #548 , hashing `data_files` contents to get the cache directory name for a text dataset can take a long time.
To make it faster I changed the hashing so that it takes into account the `path` and the `last modified timestamp` of each data file, instead of iterating through the content of each... | true |
692,598,231 | https://api.github.com/repos/huggingface/datasets/issues/572 | https://github.com/huggingface/datasets/pull/572 | 572 | Add CLUE Benchmark (11 datasets) | closed | 3 | 2020-09-04T01:57:40 | 2020-09-07T09:59:11 | 2020-09-07T09:59:10 | JetRunner | [] | Add 11 tasks of [CLUE](https://github.com/CLUEbenchmark/CLUE). | true |
692,109,287 | https://api.github.com/repos/huggingface/datasets/issues/571 | https://github.com/huggingface/datasets/pull/571 | 571 | Serialization | closed | 4 | 2020-09-03T16:21:38 | 2020-09-07T07:46:08 | 2020-09-07T07:46:07 | lhoestq | [] | I added `save` and `load` method to serialize/deserialize a dataset object in a folder.
It moves the arrow files there (or write them if the tables were in memory), and saves the pickle state in a json file `state.json`, except the info that are in a separate file `dataset_info.json`.
Example:
```python
import ... | true |
691,846,397 | https://api.github.com/repos/huggingface/datasets/issues/570 | https://github.com/huggingface/datasets/pull/570 | 570 | add reuters21578 dataset | closed | 0 | 2020-09-03T10:25:47 | 2020-09-03T10:46:52 | 2020-09-03T10:46:51 | jplu | [] | Reopen a PR this the merge. | true |
691,832,720 | https://api.github.com/repos/huggingface/datasets/issues/569 | https://github.com/huggingface/datasets/pull/569 | 569 | Revert "add reuters21578 dataset" | closed | 0 | 2020-09-03T10:06:16 | 2020-09-03T10:07:13 | 2020-09-03T10:07:12 | jplu | [] | Reverts huggingface/nlp#471 | true |
691,638,656 | https://api.github.com/repos/huggingface/datasets/issues/568 | https://github.com/huggingface/datasets/issues/568 | 568 | `metric.compute` throws `ArrowInvalid` error | closed | 3 | 2020-09-03T04:56:57 | 2020-10-05T16:33:53 | 2020-10-05T16:33:53 | ibeltagy | [] | I get the following error with `rouge.compute`. It happens only with distributed training, and it occurs randomly I can't easily reproduce it. This is using `nlp==0.4.0`
```
File "/home/beltagy/trainer.py", line 92, in validation_step
rouge_scores = rouge.compute(predictions=generated_str, references=gold_st... | false |
691,430,245 | https://api.github.com/repos/huggingface/datasets/issues/567 | https://github.com/huggingface/datasets/pull/567 | 567 | Fix BLEURT metrics for backward compatibility | closed | 0 | 2020-09-02T21:22:35 | 2020-09-03T07:29:52 | 2020-09-03T07:29:50 | thomwolf | [] | Fix #565 | true |
691,160,208 | https://api.github.com/repos/huggingface/datasets/issues/566 | https://github.com/huggingface/datasets/pull/566 | 566 | Remove logger pickling to fix gg colab issues | closed | 0 | 2020-09-02T16:16:21 | 2020-09-03T16:31:53 | 2020-09-03T16:31:52 | lhoestq | [] | A `logger` objects are not picklable in google colab, contrary to `logger` objects in jupyter notebooks or in python shells.
It creates some issues in google colab right now.
Indeed by calling any `Dataset` method, the fingerprint update pickles the transform function, and as the logger comes with it, it results in... | true |
691,039,121 | https://api.github.com/repos/huggingface/datasets/issues/565 | https://github.com/huggingface/datasets/issues/565 | 565 | No module named 'nlp.logging' | closed | 2 | 2020-09-02T13:49:50 | 2020-09-03T07:29:50 | 2020-09-03T07:29:50 | melody-ju | [] | Hi, I am using nlp version 0.4.0. Trying to use bleurt as an eval metric, however, the bleurt script imports nlp.logging which creates the following error. What am I missing?
```
>>> import nlp
2020-09-02 13:47:09.210310: I tensorflow/stream_executor/platform/default/dso_loader.cc:48] Successfully opened dynamic l... | false |
691,000,020 | https://api.github.com/repos/huggingface/datasets/issues/564 | https://github.com/huggingface/datasets/pull/564 | 564 | Wait for writing in distributed metrics | closed | 7 | 2020-09-02T12:58:50 | 2020-09-09T09:13:23 | 2020-09-09T09:13:22 | lhoestq | [] | There were CI bugs where a distributed metric would try to read all the files in process 0 while the other processes haven't started writing.
To fix that I added a custom locking mechanism that waits for the file to exist before trying to read it | true |
690,908,674 | https://api.github.com/repos/huggingface/datasets/issues/563 | https://github.com/huggingface/datasets/pull/563 | 563 | [Large datasets] Speed up download and processing | closed | 2 | 2020-09-02T10:31:54 | 2020-09-09T09:03:33 | 2020-09-09T09:03:32 | thomwolf | [] | Various improvements to speed-up creation and processing of large scale datasets.
Currently:
- distributed downloads
- remove etag from datafiles hashes to spare a request when restarting a failed download | true |
690,907,604 | https://api.github.com/repos/huggingface/datasets/issues/562 | https://github.com/huggingface/datasets/pull/562 | 562 | [Reproductibility] Allow to pin versions of datasets/metrics | closed | 1 | 2020-09-02T10:30:13 | 2023-09-24T09:49:42 | 2020-09-09T13:04:54 | thomwolf | [] | Repurpose the `version` attribute in datasets and metrics to let the user pin a specific version of datasets and metric scripts:
```
dataset = nlp.load_dataset('squad', version='1.0.0')
metric = nlp.load_metric('squad', version='1.0.0')
```
Notes:
- version number are the release version of the library
- curre... | true |
690,871,415 | https://api.github.com/repos/huggingface/datasets/issues/561 | https://github.com/huggingface/datasets/pull/561 | 561 | Made `share_dataset` more readable | closed | 0 | 2020-09-02T09:34:48 | 2020-09-03T09:00:30 | 2020-09-03T09:00:29 | TevenLeScao | [] | true | |
690,488,764 | https://api.github.com/repos/huggingface/datasets/issues/560 | https://github.com/huggingface/datasets/issues/560 | 560 | Using custom DownloadConfig results in an error | closed | 6 | 2020-09-01T22:23:02 | 2022-10-04T17:23:45 | 2022-10-04T17:23:45 | ynouri | [] | ## Version / Environment
Ubuntu 18.04
Python 3.6.8
nlp 0.4.0
## Description
Loading `imdb` dataset works fine when when I don't specify any `download_config` argument. When I create a custom `DownloadConfig` object and pass it to the `nlp.load_dataset` function, this results in an error.
## How to reprodu... | false |
690,411,263 | https://api.github.com/repos/huggingface/datasets/issues/559 | https://github.com/huggingface/datasets/pull/559 | 559 | Adding the KILT knowledge source and tasks | closed | 1 | 2020-09-01T20:05:13 | 2020-09-04T18:05:47 | 2020-09-04T18:05:47 | yjernite | [] | This adds Wikipedia pre-processed for KILT, as well as the task data. Only the question IDs are provided for TriviaQA, but they can easily be mapped back with:
```
import nlp
kilt_wikipedia = nlp.load_dataset('kilt_wikipedia')
kilt_tasks = nlp.load_dataset('kilt_tasks')
triviaqa = nlp.load_dataset('trivia_qa',... | true |
690,318,105 | https://api.github.com/repos/huggingface/datasets/issues/558 | https://github.com/huggingface/datasets/pull/558 | 558 | Rerun pip install -e | closed | 0 | 2020-09-01T17:24:39 | 2020-09-01T17:24:51 | 2020-09-01T17:24:50 | lhoestq | [] | Hopefully it fixes the github actions | true |
690,220,135 | https://api.github.com/repos/huggingface/datasets/issues/557 | https://github.com/huggingface/datasets/pull/557 | 557 | Fix a few typos | closed | 0 | 2020-09-01T15:03:24 | 2020-09-02T07:39:08 | 2020-09-02T07:39:07 | julien-c | [] | true | |
690,218,423 | https://api.github.com/repos/huggingface/datasets/issues/556 | https://github.com/huggingface/datasets/pull/556 | 556 | Add DailyDialog | closed | 0 | 2020-09-01T15:01:15 | 2020-09-03T15:42:03 | 2020-09-03T15:38:39 | julien-c | [] | http://yanran.li/dailydialog.html
https://arxiv.org/pdf/1710.03957.pdf
| true |
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