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https://api.github.com/repos/huggingface/datasets/issues/664 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/664/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/664/comments | https://api.github.com/repos/huggingface/datasets/issues/664/events | https://github.com/huggingface/datasets/issues/664 | 707,017,791 | MDU6SXNzdWU3MDcwMTc3OTE= | 664 | load_dataset from local squad.py, raise error: TypeError: 'NoneType' object is not callable | {
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version: 1.0.2
```
train_dataset = datasets.load_dataset('squad')
```
The above code can works. However, when I download the squad.py from your server, and saved as `my_squad.py` to local. I run followings raise errors.
```
train_dataset = datasets.load_dataset('./my_squad.py') ... | {
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"gi... | null | [] | 2020-09-22T22:29:37Z | 2020-10-13T17:05:20Z | 2020-10-12T20:26:52Z | {
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"gists_url": "htt... | CONTRIBUTOR | null | null | null | null | First draft of a dataset card using the SNLI corpus as an example.
This is mostly based on the [Google Doc draft](https://docs.google.com/document/d/1dKPGP-dA2W0QoTRGfqQ5eBp0CeSsTy7g2yM8RseHtos/edit), but I added a few sections and moved some things around.
- I moved **Who Was Involved** to follow **Language**, ... | {
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... | [
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] | closed | false | [] | null | [] | 2020-09-22T21:00:17Z | 2023-09-24T09:50:16Z | 2020-09-22T21:26:21Z | null | CONTRIBUTOR | null | null | null | null | First draft of a dataset card using the SNLI corpus as an example | {
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https://api.github.com/repos/huggingface/datasets/issues/661 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/661/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/661/comments | https://api.github.com/repos/huggingface/datasets/issues/661/events | https://github.com/huggingface/datasets/pull/661 | 706,465,936 | MDExOlB1bGxSZXF1ZXN0NDkxMDA3NjEw | 661 | Replace pa.OSFile by open | {
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https://api.github.com/repos/huggingface/datasets/issues/660 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/660/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/660/comments | https://api.github.com/repos/huggingface/datasets/issues/660/events | https://github.com/huggingface/datasets/pull/660 | 706,324,032 | MDExOlB1bGxSZXF1ZXN0NDkwODkyMjQ0 | 660 | add openwebtext | {
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"gist... | [] | closed | false | [] | null | [] | 2020-09-22T12:05:22Z | 2020-10-06T09:20:10Z | 2020-09-28T09:07:26Z | null | CONTRIBUTOR | null | null | null | null | This adds [The OpenWebText Corpus](https://skylion007.github.io/OpenWebTextCorpus/), which is a clean and large text corpus for nlp pretraining. It is an open source effort to reproduce OpenAI’s WebText dataset used by GPT-2, and it is also needed to reproduce ELECTRA.
It solves #132 .
### Besides dataset buildin... | {
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https://api.github.com/repos/huggingface/datasets/issues/659 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/659/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/659/comments | https://api.github.com/repos/huggingface/datasets/issues/659/events | https://github.com/huggingface/datasets/pull/659 | 706,231,506 | MDExOlB1bGxSZXF1ZXN0NDkwODE4NTY1 | 659 | Keep new columns in transmit format | {
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It caused `KeyError` issues in #620
I changed the logic to add those new columns to the list that `__getitem__` should return. | {
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} | The [description](https://github.com/huggingface/datasets/blob/master/metrics/squad/squad.py#L39) doesn't mention `answer_start` in squad. However the `datasets.features` require [it](https://github.com/huggingface/datasets/blob/master/metrics/squad/squad.py#L68). It's also not used in the evaluation. | {
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It was suggested to use it by @kandorm.
We're already using dill which is its only dependency. | {
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https://api.github.com/repos/huggingface/datasets/issues/654 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/654/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/654/comments | https://api.github.com/repos/huggingface/datasets/issues/654/events | https://github.com/huggingface/datasets/pull/654 | 705,511,058 | MDExOlB1bGxSZXF1ZXN0NDkwMjI1Nzk3 | 654 | Allow empty inputs in metrics | {
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https://api.github.com/repos/huggingface/datasets/issues/653 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/653/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/653/comments | https://api.github.com/repos/huggingface/datasets/issues/653/events | https://github.com/huggingface/datasets/pull/653 | 705,482,391 | MDExOlB1bGxSZXF1ZXN0NDkwMjAxOTg4 | 653 | handle data alteration when trying type | {
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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"}}... | {
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{
'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... | null | {
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} | 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... | {
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} | 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... | {
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} | 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)
```
```
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} | 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... | {
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For example there are restrictions when accessing/deleting files that are open
Fix #590 | {
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```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 = ... | {
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https://api.github.com/repos/huggingface/datasets/issues/640 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/640/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/640/comments | https://api.github.com/repos/huggingface/datasets/issues/640/events | https://github.com/huggingface/datasets/pull/640 | 704,311,758 | MDExOlB1bGxSZXF1ZXN0NDg5MjYwNTc1 | 640 | Make shuffle compatible with temp_seed | {
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```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 | {
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} | 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... | {
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I changed the feature names of LinCE and XTREME/PAN-X | {
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https://api.github.com/repos/huggingface/datasets/issues/635 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/635/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/635/comments | https://api.github.com/repos/huggingface/datasets/issues/635/events | https://github.com/huggingface/datasets/pull/635 | 702,822,439 | MDExOlB1bGxSZXF1ZXN0NDg4MDM2OTE5 | 635 | Loglevel | {
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https://api.github.com/repos/huggingface/datasets/issues/634 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/634/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/634/comments | https://api.github.com/repos/huggingface/datasets/issues/634/events | https://github.com/huggingface/datasets/pull/634 | 702,676,041 | MDExOlB1bGxSZXF1ZXN0NDg3OTEzOTk4 | 634 | Add ConLL-2000 dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/633 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/633/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/633/comments | https://api.github.com/repos/huggingface/datasets/issues/633/events | https://github.com/huggingface/datasets/issues/633 | 702,440,484 | MDU6SXNzdWU3MDI0NDA0ODQ= | 633 | Load large text file for LM pre-training resulting in OOM | {
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```python
from datasets import load_dataset
@dataclass
class DataCollatorForDatasetsLanguageModeling(DataCollatorForLanguageModeling):
"""
Data collator u... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/632 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/632/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/632/comments | https://api.github.com/repos/huggingface/datasets/issues/632/events | https://github.com/huggingface/datasets/pull/632 | 702,358,124 | MDExOlB1bGxSZXF1ZXN0NDg3NjQ5OTQ2 | 632 | Fix typos in the loading datasets docs | {
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https://api.github.com/repos/huggingface/datasets/issues/631 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/631/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/631/comments | https://api.github.com/repos/huggingface/datasets/issues/631/events | https://github.com/huggingface/datasets/pull/631 | 701,711,255 | MDExOlB1bGxSZXF1ZXN0NDg3MTE3OTA0 | 631 | Fix text delimiter | {
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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` | {
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https://api.github.com/repos/huggingface/datasets/issues/630 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/630/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/630/comments | https://api.github.com/repos/huggingface/datasets/issues/630/events | https://github.com/huggingface/datasets/issues/630 | 701,636,350 | MDU6SXNzdWU3MDE2MzYzNTA= | 630 | Text dataset not working with large files | {
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} | ```
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... | {
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https://api.github.com/repos/huggingface/datasets/issues/629 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/629/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/629/comments | https://api.github.com/repos/huggingface/datasets/issues/629/events | https://github.com/huggingface/datasets/issues/629 | 701,517,550 | MDU6SXNzdWU3MDE1MTc1NTA= | 629 | straddling object straddles two block boundaries | {
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} | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/628 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/628/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/628/comments | https://api.github.com/repos/huggingface/datasets/issues/628/events | https://github.com/huggingface/datasets/pull/628 | 701,496,053 | MDExOlB1bGxSZXF1ZXN0NDg2OTQyNzgx | 628 | Update docs links in the contribution guideline | {
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https://api.github.com/repos/huggingface/datasets/issues/627 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/627/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/627/comments | https://api.github.com/repos/huggingface/datasets/issues/627/events | https://github.com/huggingface/datasets/pull/627 | 701,411,661 | MDExOlB1bGxSZXF1ZXN0NDg2ODcxMTg2 | 627 | fix (#619) MLQA features names | {
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https://api.github.com/repos/huggingface/datasets/issues/626 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/626/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/626/comments | https://api.github.com/repos/huggingface/datasets/issues/626/events | https://github.com/huggingface/datasets/pull/626 | 701,352,605 | MDExOlB1bGxSZXF1ZXN0NDg2ODIzMTY1 | 626 | Update GLUE URLs (now hosted on FB) | {
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Note: rebased on huggingface/dat... | {
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https://api.github.com/repos/huggingface/datasets/issues/624 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/624/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/624/comments | https://api.github.com/repos/huggingface/datasets/issues/624/events | https://github.com/huggingface/datasets/issues/624 | 700,541,628 | MDU6SXNzdWU3MDA1NDE2Mjg= | 624 | Add learningq dataset | {
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Thank you again for this amazing repo.
Would it be possible for y'all to add the LearningQ dataset - https://github.com/AngusGLChen/LearningQ ?
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I am working with the local files from the emotion dataset. To get the data you can use the followi... | {
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https://api.github.com/repos/huggingface/datasets/issues/622 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/622/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/622/comments | https://api.github.com/repos/huggingface/datasets/issues/622/events | https://github.com/huggingface/datasets/issues/622 | 700,225,826 | MDU6SXNzdWU3MDAyMjU4MjY= | 622 | load_dataset for text files not working | {
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```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 ... | {
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```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... | {
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https://api.github.com/repos/huggingface/datasets/issues/619 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/619/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/619/comments | https://api.github.com/repos/huggingface/datasets/issues/619/events | https://github.com/huggingface/datasets/issues/619 | 699,733,612 | MDU6SXNzdWU2OTk3MzM2MTI= | 619 | Mistakes in MLQA features names | {
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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... | {
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1. change the default level to `WARNING`
2. add `DATASETS_VERBOSITY` env var
3. expand docs | {
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https://api.github.com/repos/huggingface/datasets/issues/617 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/617/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/617/comments | https://api.github.com/repos/huggingface/datasets/issues/617/events | https://github.com/huggingface/datasets/issues/617 | 699,472,596 | MDU6SXNzdWU2OTk0NzI1OTY= | 617 | Compare different Rouge implementations | {
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Ca... | {
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https://api.github.com/repos/huggingface/datasets/issues/616 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/616/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/616/comments | https://api.github.com/repos/huggingface/datasets/issues/616/events | https://github.com/huggingface/datasets/issues/616 | 699,462,293 | MDU6SXNzdWU2OTk0NjIyOTM= | 616 | UserWarning: The given NumPy array is not writeable, and PyTorch does not support non-writeable tensors | {
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} | 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... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/615 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/615/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/615/comments | https://api.github.com/repos/huggingface/datasets/issues/615/events | https://github.com/huggingface/datasets/issues/615 | 699,410,773 | MDU6SXNzdWU2OTk0MTA3NzM= | 615 | Offset overflow when slicing a big dataset with an array of indices in Pyarrow >= 1.0.0 | {
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} | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/614 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/614/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/614/comments | https://api.github.com/repos/huggingface/datasets/issues/614/events | https://github.com/huggingface/datasets/pull/614 | 699,177,110 | MDExOlB1bGxSZXF1ZXN0NDg0OTQ2MzA1 | 614 | [doc] Update deploy.sh | {
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https://api.github.com/repos/huggingface/datasets/issues/613 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/613/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/613/comments | https://api.github.com/repos/huggingface/datasets/issues/613/events | https://github.com/huggingface/datasets/pull/613 | 699,117,070 | MDExOlB1bGxSZXF1ZXN0NDg0ODkyMTUx | 613 | Add CoNLL-2003 shared task dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/612 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/612/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/612/comments | https://api.github.com/repos/huggingface/datasets/issues/612/events | https://github.com/huggingface/datasets/pull/612 | 699,008,644 | MDExOlB1bGxSZXF1ZXN0NDg0Nzk2Mjg5 | 612 | add multi-proc to dataset dict | {
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https://api.github.com/repos/huggingface/datasets/issues/611 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/611/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/611/comments | https://api.github.com/repos/huggingface/datasets/issues/611/events | https://github.com/huggingface/datasets/issues/611 | 698,863,988 | MDU6SXNzdWU2OTg4NjM5ODg= | 611 | ArrowCapacityError: List array cannot contain more than 2147483646 child elements, have 2147483648 | {
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```bash
---------------------------------------------------------------------------
ArrowCapacityError Traceback (most recent call last)
<ipython-input-7-146b6b495963> in <module>
----> 1 dataset = Dataset.from_pandas(emb)... | {
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https://api.github.com/repos/huggingface/datasets/issues/610 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/610/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/610/comments | https://api.github.com/repos/huggingface/datasets/issues/610/events | https://github.com/huggingface/datasets/issues/610 | 698,349,388 | MDU6SXNzdWU2OTgzNDkzODg= | 610 | Load text file for RoBERTa pre-training. | {
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} | 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.... | {
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https://api.github.com/repos/huggingface/datasets/issues/609 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/609/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/609/comments | https://api.github.com/repos/huggingface/datasets/issues/609/events | https://github.com/huggingface/datasets/pull/609 | 698,323,989 | MDExOlB1bGxSZXF1ZXN0NDg0MTc4Nzky | 609 | Update GLUE URLs (now hosted on FB) | {
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https://api.github.com/repos/huggingface/datasets/issues/608 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/608/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/608/comments | https://api.github.com/repos/huggingface/datasets/issues/608/events | https://github.com/huggingface/datasets/issues/608 | 698,291,156 | MDU6SXNzdWU2OTgyOTExNTY= | 608 | Don't use the old NYU GLUE dataset URLs | {
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} | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/607 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/607/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/607/comments | https://api.github.com/repos/huggingface/datasets/issues/607/events | https://github.com/huggingface/datasets/pull/607 | 698,094,442 | MDExOlB1bGxSZXF1ZXN0NDgzOTcyMDg4 | 607 | Add transmit_format wrapper and tests | {
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https://api.github.com/repos/huggingface/datasets/issues/606 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/606/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/606/comments | https://api.github.com/repos/huggingface/datasets/issues/606/events | https://github.com/huggingface/datasets/pull/606 | 698,050,442 | MDExOlB1bGxSZXF1ZXN0NDgzOTMzMDA1 | 606 | Quick fix :) | {
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https://api.github.com/repos/huggingface/datasets/issues/605 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/605/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/605/comments | https://api.github.com/repos/huggingface/datasets/issues/605/events | https://github.com/huggingface/datasets/pull/605 | 697,887,401 | MDExOlB1bGxSZXF1ZXN0NDgzNzg1Mjc1 | 605 | [Datasets] Transmit format to children | {
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Added a test.
When concatenating datasets, if the formats are disparate, the concatenated dataset has a format reset to defaults. | {
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https://api.github.com/repos/huggingface/datasets/issues/604 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/604/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/604/comments | https://api.github.com/repos/huggingface/datasets/issues/604/events | https://github.com/huggingface/datasets/pull/604 | 697,774,581 | MDExOlB1bGxSZXF1ZXN0NDgzNjgxNTc0 | 604 | Update bucket prefix | {
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https://api.github.com/repos/huggingface/datasets/issues/603 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/603/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/603/comments | https://api.github.com/repos/huggingface/datasets/issues/603/events | https://github.com/huggingface/datasets/pull/603 | 697,758,750 | MDExOlB1bGxSZXF1ZXN0NDgzNjY2ODk5 | 603 | Set scripts version to master | {
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```
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. | {
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https://api.github.com/repos/huggingface/datasets/issues/602 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/602/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/602/comments | https://api.github.com/repos/huggingface/datasets/issues/602/events | https://github.com/huggingface/datasets/pull/602 | 697,636,605 | MDExOlB1bGxSZXF1ZXN0NDgzNTU3NDM0 | 602 | apply offset to indices in multiprocessed map | {
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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 ... | {
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https://api.github.com/repos/huggingface/datasets/issues/601 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/601/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/601/comments | https://api.github.com/repos/huggingface/datasets/issues/601/events | https://github.com/huggingface/datasets/pull/601 | 697,574,848 | MDExOlB1bGxSZXF1ZXN0NDgzNTAzMjAw | 601 | check if trasnformers has PreTrainedTokenizerBase | {
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https://api.github.com/repos/huggingface/datasets/issues/600 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/600/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/600/comments | https://api.github.com/repos/huggingface/datasets/issues/600/events | https://github.com/huggingface/datasets/issues/600 | 697,496,913 | MDU6SXNzdWU2OTc0OTY5MTM= | 600 | Pickling error when loading dataset | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/599 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/599/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/599/comments | https://api.github.com/repos/huggingface/datasets/issues/599/events | https://github.com/huggingface/datasets/pull/599 | 697,377,786 | MDExOlB1bGxSZXF1ZXN0NDgzMzI3ODQ5 | 599 | Add MATINF dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/598 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/598/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/598/comments | https://api.github.com/repos/huggingface/datasets/issues/598/events | https://github.com/huggingface/datasets/issues/598 | 697,156,501 | MDU6SXNzdWU2OTcxNTY1MDE= | 598 | The current version of the package on github has an error when loading dataset | {
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} | 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 .
``... | {
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https://api.github.com/repos/huggingface/datasets/issues/597 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/597/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/597/comments | https://api.github.com/repos/huggingface/datasets/issues/597/events | https://github.com/huggingface/datasets/issues/597 | 697,112,029 | MDU6SXNzdWU2OTcxMTIwMjk= | 597 | Indices incorrect with multiprocessing | {
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```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... | {
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https://api.github.com/repos/huggingface/datasets/issues/596 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/596/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/596/comments | https://api.github.com/repos/huggingface/datasets/issues/596/events | https://github.com/huggingface/datasets/pull/596 | 696,928,139 | MDExOlB1bGxSZXF1ZXN0NDgyOTM5MTgw | 596 | [style/quality] Moving to isort 5.0.0 + style/quality on datasets and metrics | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/595 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/595/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/595/comments | https://api.github.com/repos/huggingface/datasets/issues/595/events | https://github.com/huggingface/datasets/issues/595 | 696,892,304 | MDU6SXNzdWU2OTY4OTIzMDQ= | 595 | `Dataset`/`DatasetDict` has no attribute 'save_to_disk' | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/594 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/594/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/594/comments | https://api.github.com/repos/huggingface/datasets/issues/594/events | https://github.com/huggingface/datasets/pull/594 | 696,816,893 | MDExOlB1bGxSZXF1ZXN0NDgyODQ1OTc5 | 594 | Fix germeval url | {
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https://api.github.com/repos/huggingface/datasets/issues/593 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/593/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/593/comments | https://api.github.com/repos/huggingface/datasets/issues/593/events | https://github.com/huggingface/datasets/pull/593 | 696,679,182 | MDExOlB1bGxSZXF1ZXN0NDgyNzI5NTgw | 593 | GermEval 2014: new download urls | {
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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. | {
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https://api.github.com/repos/huggingface/datasets/issues/592 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/592/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/592/comments | https://api.github.com/repos/huggingface/datasets/issues/592/events | https://github.com/huggingface/datasets/pull/592 | 696,619,986 | MDExOlB1bGxSZXF1ZXN0NDgyNjc4MDkw | 592 | Test in memory and on disk | {
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I also found a bug in concatenate_dataset thanks to the new tests and fixed it. | {
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https://api.github.com/repos/huggingface/datasets/issues/590 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/590/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/590/comments | https://api.github.com/repos/huggingface/datasets/issues/590/events | https://github.com/huggingface/datasets/issues/590 | 696,501,827 | MDU6SXNzdWU2OTY1MDE4Mjc= | 590 | The process cannot access the file because it is being used by another process (windows) | {
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} | 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.... | {
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```
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... | {
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(I recreated the PR, I got an issue with git) | {
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https://api.github.com/repos/huggingface/datasets/issues/584 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/584/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/584/comments | https://api.github.com/repos/huggingface/datasets/issues/584/events | https://github.com/huggingface/datasets/pull/584 | 695,186,652 | MDExOlB1bGxSZXF1ZXN0NDgxNDY0NjEz | 584 | Use github versioning | {
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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... | {
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} | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/582 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/582/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/582/comments | https://api.github.com/repos/huggingface/datasets/issues/582/events | https://github.com/huggingface/datasets/issues/582 | 695,126,456 | MDU6SXNzdWU2OTUxMjY0NTY= | 582 | Allow for PathLike objects | {
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} | 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... | {
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} | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/580 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/580/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/580/comments | https://api.github.com/repos/huggingface/datasets/issues/580/events | https://github.com/huggingface/datasets/issues/580 | 694,954,551 | MDU6SXNzdWU2OTQ5NTQ1NTE= | 580 | nlp re-creates already-there caches when using a script, but not within a shell | {
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} | `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... | {
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@yuchenlin @MichaelZhouwang | {
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https://api.github.com/repos/huggingface/datasets/issues/577 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/577/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/577/comments | https://api.github.com/repos/huggingface/datasets/issues/577/events | https://github.com/huggingface/datasets/issues/577 | 694,607,148 | MDU6SXNzdWU2OTQ2MDcxNDg= | 577 | Some languages in wikipedia dataset are not loading | {
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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', '... | {
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https://api.github.com/repos/huggingface/datasets/issues/576 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/576/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/576/comments | https://api.github.com/repos/huggingface/datasets/issues/576/events | https://github.com/huggingface/datasets/pull/576 | 694,348,645 | MDExOlB1bGxSZXF1ZXN0NDgwNzM3NDQ1 | 576 | Fix the code block in doc | {
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https://api.github.com/repos/huggingface/datasets/issues/575 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/575/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/575/comments | https://api.github.com/repos/huggingface/datasets/issues/575/events | https://github.com/huggingface/datasets/issues/575 | 693,691,611 | MDU6SXNzdWU2OTM2OTE2MTE= | 575 | Couldn't reach certain URLs and for the ones that can be reached, code just blocks after downloading. | {
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} | 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... | {
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} | https://api.github.com/repos/huggingface/datasets/issues/575/timeline | null | completed | null | null | null | false |
https://api.github.com/repos/huggingface/datasets/issues/574 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/574/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/574/comments | https://api.github.com/repos/huggingface/datasets/issues/574/events | https://github.com/huggingface/datasets/pull/574 | 693,364,853 | MDExOlB1bGxSZXF1ZXN0NDc5ODU5NzQy | 574 | Add modules cache | {
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"gists_url": "https:... | [] | closed | false | [] | null | [] | 2020-09-04T16:30:03Z | 2020-09-22T10:27:08Z | 2020-09-07T09:01:35Z | null | MEMBER | null | null | null | null | 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 ... | {
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https://api.github.com/repos/huggingface/datasets/issues/573 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/573/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/573/comments | https://api.github.com/repos/huggingface/datasets/issues/573/events | https://github.com/huggingface/datasets/pull/573 | 693,091,790 | MDExOlB1bGxSZXF1ZXN0NDc5NjE4Mzc2 | 573 | Faster caching for text dataset | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/572 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/572/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/572/comments | https://api.github.com/repos/huggingface/datasets/issues/572/events | https://github.com/huggingface/datasets/pull/572 | 692,598,231 | MDExOlB1bGxSZXF1ZXN0NDc5MTgyNDU3 | 572 | Add CLUE Benchmark (11 datasets) | {
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https://api.github.com/repos/huggingface/datasets/issues/571 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/571/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/571/comments | https://api.github.com/repos/huggingface/datasets/issues/571/events | https://github.com/huggingface/datasets/pull/571 | 692,109,287 | MDExOlB1bGxSZXF1ZXN0NDc4NzQ2MjMz | 571 | Serialization | {
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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 ... | {
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https://api.github.com/repos/huggingface/datasets/issues/570 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/570/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/570/comments | https://api.github.com/repos/huggingface/datasets/issues/570/events | https://github.com/huggingface/datasets/pull/570 | 691,846,397 | MDExOlB1bGxSZXF1ZXN0NDc4NTI3OTQz | 570 | add reuters21578 dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/569 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/569/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/569/comments | https://api.github.com/repos/huggingface/datasets/issues/569/events | https://github.com/huggingface/datasets/pull/569 | 691,832,720 | MDExOlB1bGxSZXF1ZXN0NDc4NTE2Mzc2 | 569 | Revert "add reuters21578 dataset" | {
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https://api.github.com/repos/huggingface/datasets/issues/568 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/568/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/568/comments | https://api.github.com/repos/huggingface/datasets/issues/568/events | https://github.com/huggingface/datasets/issues/568 | 691,638,656 | MDU6SXNzdWU2OTE2Mzg2NTY= | 568 | `metric.compute` throws `ArrowInvalid` error | {
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} | 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/567 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/567/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/567/comments | https://api.github.com/repos/huggingface/datasets/issues/567/events | https://github.com/huggingface/datasets/pull/567 | 691,430,245 | MDExOlB1bGxSZXF1ZXN0NDc4MTc2Njgx | 567 | Fix BLEURT metrics for backward compatibility | {
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https://api.github.com/repos/huggingface/datasets/issues/566 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/566/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/566/comments | https://api.github.com/repos/huggingface/datasets/issues/566/events | https://github.com/huggingface/datasets/pull/566 | 691,160,208 | MDExOlB1bGxSZXF1ZXN0NDc3OTM2NTIz | 566 | Remove logger pickling to fix gg colab issues | {
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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... | {
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https://api.github.com/repos/huggingface/datasets/issues/565 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/565/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/565/comments | https://api.github.com/repos/huggingface/datasets/issues/565/events | https://github.com/huggingface/datasets/issues/565 | 691,039,121 | MDU6SXNzdWU2OTEwMzkxMjE= | 565 | No module named 'nlp.logging' | {
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} | 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... | {
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