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https://api.github.com/repos/huggingface/datasets/issues/674 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/674/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/674/comments | https://api.github.com/repos/huggingface/datasets/issues/674/events | https://github.com/huggingface/datasets/issues/674 | 709,661,006 | MDU6SXNzdWU3MDk2NjEwMDY= | 674 | load_dataset() won't download in Windows | {
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] | open | false | null | [] | null | 1 | 2020-09-26T20:15:28 | 2020-09-28T08:04:50 | null | NONE | null | null | null | This is just to report that When I pick blog_authorship_corpus in
https://huggingface.co/nlp/viewer/?dataset=blog_authorship_corpus
I get this:
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I'm looking into your `xsum` dataset and I have several questions on that.
So here is how I loaded the data:
```
>>> data = datasets.load_dataset('xsum', version='1.0.1')
>>> data['train']
Dataset(features: {'document': Value(dtype='string', id=None), 'summary': Value(dtype='string', id=None)}, nu... | {
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1. Huggingface datasets cache dir does not exist
2. Try to load a local dataset script
builder.py throws an error when trying to create a filelock in a directory (cache/datasets) that does not exist
https://github.com/huggingface/datasets/blob/master/src/datasets/builder.py#L177
Tested o... | {
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"merged_at": "2020-09-29T15:57:37"... | The `answer_start` field was missing in the kwargs docstring.
This should fix #657
FYI another fix was proposed by @tshrjn in #658 and suggests to remove this field.
However IMO `answer_start` is useful to match the squad dataset format for consistency, even though it is not used in the metric computation. I th... | {
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https://api.github.com/repos/huggingface/datasets/issues/669 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/669/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/669/comments | https://api.github.com/repos/huggingface/datasets/issues/669/events | https://github.com/huggingface/datasets/issues/669 | 708,857,595 | MDU6SXNzdWU3MDg4NTc1OTU= | 669 | How to skip a example when running dataset.map | {
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https://api.github.com/repos/huggingface/datasets/issues/668 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/668/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/668/comments | https://api.github.com/repos/huggingface/datasets/issues/668/events | https://github.com/huggingface/datasets/issues/668 | 708,310,956 | MDU6SXNzdWU3MDgzMTA5NTY= | 668 | OverflowError when slicing with an array containing negative ids | {
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from datasets import Dataset
d = ds.Dataset.from_dict({"a": range(10)})
print(d[0])
# {'a': 0}
print(d[-1])
# {'a': 9}
print(d[[0, -1]])
# OverflowError
```
results in
```
---------------------------------------------------------------------------
OverflowError ... | {
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The following script is used to fine-tune a BertForSequenceClassification model on SST2.
The script is adapted from [this colab](https://colab.research.google.com/github/huggingface/datasets/blob/master/notebooks/Overview.ipynb) that presents an example of fine-tuning BertForQuestionAnswering using squad data... | {
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```
def convert_to_features(example):
# Tokenize contexts and questions (as pairs of inputs)
input_pairs = [example['question'], example['context']]
encodings = tokenizer.encode... | {
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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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"merged_at": "2020-10-12T20:26:52"... | 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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"merged_at": "2020-09-28T09:07:26"... | 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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"merged_at": "2020-09-22T10:07:20"... | When a dataset is formatted with a list of columns that `__getitem__` should return, then calling `map` to add new columns doesn't add the new columns to this list.
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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It was suggested to use it by @kandorm.
We're already using dill which is its only dependency. | {
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"merged_at": "2020-09-21T16:13:05"... | 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"}}... | {
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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}
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Note that instead of a list of records i... | {
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```
openwebtext.tar.xz
|__ openwebtext
|__subset000.xz
| |__ ....txt
| |__ ....txt
| ...
|__ subset001.xz
|
....
```
So I wrote `openwebtext.py` like this
```
d... | {
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"followers_url": "https://api.git... | null | 1 | 2020-09-19T08:41:12 | 2020-09-21T16:13:05 | 2020-09-21T16:13:05 | NONE | null | null | null | 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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```
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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```
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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] | open | false | null | [] | null | 12 | 2020-09-18T15:41:26 | 2020-09-28T16:14:40 | null | NONE | null | null | null | 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 = ... | {
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"merged_at": "2020-09-18T11:47:50"... | 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 | {
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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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```python
from datasets import load_dataset
@dataclass
class DataCollatorForDatasetsLanguageModeling(DataCollatorForLanguageModeling):
"""
Data collator u... | {
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"merged_at": "2020-09-15T08:26:25"... | 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` | {
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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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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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Note: rebased on huggingface/dat... | {
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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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```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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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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} | 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 | {
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Ca... | {
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```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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```bash
---------------------------------------------------------------------------
ArrowCapacityError Traceback (most recent call last)
<ipython-input-7-146b6b495963> in <module>
----> 1 dataset = Dataset.from_pandas(emb)... | {
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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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See: https://github.com/jiant-dev/jiant/issues/161 and https://github.com/nyu-mll/jiant/pull/111... | {
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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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```
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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"merged_at": "2020-09-10T11:03:37"... | 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 ... | {
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"merged_at": "2020-09-10T11:01:36"... | Fix #598 | {
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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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} | @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 :( | {
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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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```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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"merged_at": "2020-09-10T10:05:03"... | 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... | {
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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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"merged_at": "2020-09-09T13:34:34"... | Continuation of #593 but without the dummy data hack | {
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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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"merged_at": "2020-09-09T13:50:03"... | 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. | {
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```
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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"merged_at": "2020-09-08T07:45:17"... | Fix #582
(I recreated the PR, I got an issue with git) | {
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"merged_at": "2020-09-09T13:37:34"... | 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... | {
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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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```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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```python
dataset = load_dataset("text", data_files=[])
```
Example err... | {
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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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https://api.github.com/repos/huggingface/datasets/issues/579 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/579/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/579/comments | https://api.github.com/repos/huggingface/datasets/issues/579/events | https://github.com/huggingface/datasets/pull/579 | 694,947,599 | MDExOlB1bGxSZXF1ZXN0NDgxMjU1OTI5 | 579 | Doc metrics | {
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@yuchenlin @MichaelZhouwang | {
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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/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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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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