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https://api.github.com/repos/huggingface/datasets/issues/730 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/730/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/730/comments | https://api.github.com/repos/huggingface/datasets/issues/730/events | https://github.com/huggingface/datasets/issues/730 | 721,073,812 | MDU6SXNzdWU3MjEwNzM4MTI= | 730 | Possible caching bug | {
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"Thanks for reporting. That's a bug indeed.\r\nApparently only the `data_files` parameter is taken into account right now in `DatasetBuilder._create_builder_config` but it should also be the case for `config_kwargs` (or at least the instantiated `builder_config`)",
"Hi, does this bug be fixed? when I load JSON fi... | 2020-10-14T02:02:34 | 2022-11-22T01:45:54 | 2020-10-29T09:36:01 | NONE | null | null | null | null | The following code with `test1.txt` containing just "🤗🤗🤗":
```
dataset = datasets.load_dataset('text', data_files=['test1.txt'], split="train", encoding="latin_1")
print(dataset[0])
dataset = datasets.load_dataset('text', data_files=['test1.txt'], split="train", encoding="utf-8")
print(dataset[0])
```
produc... | {
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https://api.github.com/repos/huggingface/datasets/issues/729 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/729/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/729/comments | https://api.github.com/repos/huggingface/datasets/issues/729/events | https://github.com/huggingface/datasets/issues/729 | 719,558,876 | MDU6SXNzdWU3MTk1NTg4NzY= | 729 | Better error message when one forgets to call `add_batch` before `compute` | {
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## Reproducer
```python
import datasets
import torch
from datasets import Metric
class GatherMetric(Metric):
... | {
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https://api.github.com/repos/huggingface/datasets/issues/728 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/728/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/728/comments | https://api.github.com/repos/huggingface/datasets/issues/728/events | https://github.com/huggingface/datasets/issues/728 | 719,555,780 | MDU6SXNzdWU3MTk1NTU3ODA= | 728 | Passing `cache_dir` to a metric does not work | {
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## Reproducer
```python
import datasets
import torch
from datasets import Metric
class GatherMetric(Metric):
def _info(self):
return datasets.MetricInfo(
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https://api.github.com/repos/huggingface/datasets/issues/727 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/727/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/727/comments | https://api.github.com/repos/huggingface/datasets/issues/727/events | https://github.com/huggingface/datasets/issues/727 | 719,386,366 | MDU6SXNzdWU3MTkzODYzNjY= | 727 | Parallel downloads progress bar flickers | {
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To fix that we could simply specify `position=i` for i=0 to n the number of files to download when instantiating the tqdm progress bar.
Another way would be to have one "... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/726 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/726/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/726/comments | https://api.github.com/repos/huggingface/datasets/issues/726/events | https://github.com/huggingface/datasets/issues/726 | 719,313,754 | MDU6SXNzdWU3MTkzMTM3NTQ= | 726 | "Checksums didn't match for dataset source files" error while loading openwebtext dataset | {
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"Hi try, to provide more information please.\r\n\r\nExample code in a colab to reproduce the error, details on what you are trying to do and what you were expected and details on your environment (OS, PyPi packages version).",
"> Hi try, to provide more information please.\r\n> \r\n> Example code in a colab to re... | 2020-10-12T11:45:10 | 2022-02-17T17:53:54 | 2022-02-15T10:38:57 | NONE | null | null | null | null | Hi,
I have encountered this problem during loading the openwebtext dataset:
```
>>> dataset = load_dataset('openwebtext')
Downloading and preparing dataset openwebtext/plain_text (download: 12.00 GiB, generated: 37.04 GiB, post-processed: Unknown size, total: 49.03 GiB) to /home/admin/.cache/huggingface/datasets/op... | {
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https://api.github.com/repos/huggingface/datasets/issues/724 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/724/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/724/comments | https://api.github.com/repos/huggingface/datasets/issues/724/events | https://github.com/huggingface/datasets/issues/724 | 718,947,700 | MDU6SXNzdWU3MTg5NDc3MDA= | 724 | need to redirect /nlp to /datasets and remove outdated info | {
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"Should be fixed now: \r\n\r\n\r\n\r\nNot sure I understand what you mean by the second part?\r\n",
"Thank you!\r\n\r\n> Not sure I understand what you mean by the second part?\r\n\r\nCompare the 2:\r\n* htt... | 2020-10-11T23:12:12 | 2020-10-14T17:00:12 | 2020-10-14T17:00:12 | CONTRIBUTOR | null | null | null | null | It looks like the website still has all the `nlp` data, e.g.: https://huggingface.co/nlp/viewer/?dataset=wikihow&config=all
should probably redirect to: https://huggingface.co/datasets/wikihow
also for some reason the new information is slightly borked. If you look at the old one it was nicely formatted and had t... | {
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https://api.github.com/repos/huggingface/datasets/issues/723 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/723/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/723/comments | https://api.github.com/repos/huggingface/datasets/issues/723/events | https://github.com/huggingface/datasets/issues/723 | 718,926,723 | MDU6SXNzdWU3MTg5MjY3MjM= | 723 | Adding pseudo-labels to datasets | {
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"Nice ! :)\r\nIt's indeed the first time we have such contributions so we'll have to figure out the appropriate way to integrate them.\r\nCould you add details on what they could be used for ?\r\n",
"They can be used as training data for a smaller model.",
"Sounds just like a regular dataset to me then, no?",
... | 2020-10-11T21:05:45 | 2021-08-03T05:11:51 | 2021-08-03T05:11:51 | CONTRIBUTOR | null | null | null | null | I recently [uploaded pseudo-labels](https://github.com/huggingface/transformers/blob/master/examples/seq2seq/precomputed_pseudo_labels.md) for CNN/DM, XSUM and WMT16-en-ro to s3, and thom mentioned I should add them to this repo.
Since pseudo-labels are just a large model's generations on an existing dataset, what is ... | {
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https://api.github.com/repos/huggingface/datasets/issues/721 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/721/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/721/comments | https://api.github.com/repos/huggingface/datasets/issues/721/events | https://github.com/huggingface/datasets/issues/721 | 718,647,147 | MDU6SXNzdWU3MTg2NDcxNDc= | 721 | feat(dl_manager): add support for ftp downloads | {
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"We only support http by default for downloading.\r\nIf you really need to use ftp, then feel free to use a library that allows to download through ftp in your dataset script (I see that you've started working on #722 , that's awesome !). The users will get a message to install the extra library when they load the ... | 2020-10-10T15:50:20 | 2022-02-15T10:44:44 | 2022-02-15T10:44:43 | CONTRIBUTOR | null | null | null | null | I am working on a new dataset (#302) and encounter a problem downloading it.
```python
# This is the official download link from https://www-i6.informatik.rwth-aachen.de/~koller/RWTH-PHOENIX-2014-T/
_URL = "ftp://wasserstoff.informatik.rwth-aachen.de/pub/rwth-phoenix/2016/phoenix-2014-T.v3.tar.gz"
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"Same issue here. I will be digging further, but it looks like the [script](https://github.com/huggingface/datasets/blob/master/datasets/wiki_dpr/wiki_dpr.py#L132) is attempting to open a file that is not downloaded yet. \r\n\r\n```\r\n99dcbca09109e58502e6b9271d4d3f3791b43f61f3161a76b25d2775ab1a4498.lock\r\n```\r\n... | 2020-10-07T14:27:13 | 2020-12-23T14:04:31 | 2020-12-23T14:04:31 | NONE | null | null | null | null | ## Environment info
transformers version: 3.3.1
Platform: Linux-4.19
Python version: 3.7.7
PyTorch version (GPU?): 1.6.0
Tensorflow version (GPU?): No
Using GPU in script?: Yes
Using distributed or parallel set-up in script?: No
## To reproduce
Steps to reproduce the behaviour... | {
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https://api.github.com/repos/huggingface/datasets/issues/712 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/712/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/712/comments | https://api.github.com/repos/huggingface/datasets/issues/712/events | https://github.com/huggingface/datasets/issues/712 | 714,242,316 | MDU6SXNzdWU3MTQyNDIzMTY= | 712 | Error in the notebooks/Overview.ipynb notebook | {
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"Do this:\r\n``` python\r\nsquad_dataset = list_datasets(with_details=True)[datasets.index('squad')]\r\npprint(squad_dataset.__dict__) # It's a simple python dataclass\r\n```",
"Thanks! This worked. I have created a PR to fix this in the notebook. "
] | 2020-10-04T05:58:31 | 2020-10-05T16:25:40 | 2020-10-05T16:25:40 | CONTRIBUTOR | null | null | null | null | Hi,
I got the following error in **cell number 3** while exploring the **Overview.ipynb** notebook in google colab. I used the [link ](https://colab.research.google.com/github/huggingface/datasets/blob/master/notebooks/Overview.ipynb) provided in the main README file to open it in colab.
```python
# You can acc... | {
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https://api.github.com/repos/huggingface/datasets/issues/709 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/709/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/709/comments | https://api.github.com/repos/huggingface/datasets/issues/709/events | https://github.com/huggingface/datasets/issues/709 | 714,067,902 | MDU6SXNzdWU3MTQwNjc5MDI= | 709 | How to use similarity settings other then "BM25" in Elasticsearch index ? | {
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"Datasets does not use elasticsearch API to define custom similarity. If you want to use a custom similarity, the best would be to run a curl request directly to your elasticsearch instance (see sample hereafter, directly from ES documentation), then you should be able to use `my_similarity` in your configuration p... | 2020-10-03T11:18:49 | 2022-10-04T17:19:37 | 2022-10-04T17:19:37 | NONE | null | null | null | null | **QUESTION : How should we use other similarity algorithms supported by Elasticsearch other than "BM25" ?**
**ES Reference**
https://www.elastic.co/guide/en/elasticsearch/reference/current/index-modules-similarity.html
**HF doc reference:**
https://huggingface.co/docs/datasets/faiss_and_ea.html
**context :**
=... | {
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https://api.github.com/repos/huggingface/datasets/issues/708 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/708/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/708/comments | https://api.github.com/repos/huggingface/datasets/issues/708/events | https://github.com/huggingface/datasets/issues/708 | 714,020,953 | MDU6SXNzdWU3MTQwMjA5NTM= | 708 | Datasets performance slow? - 6.4x slower than in memory dataset | {
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"Facing a similar issue here. My model using SQuAD dataset takes about 1h to process with in memory data and more than 2h with datasets directly.",
"And if you use in-memory-data with datasets with `load_dataset(..., keep_in_memory=True)`?",
"Thanks for the tip @thomwolf ! I did not see that flag in the docs. I... | 2020-10-03T06:44:07 | 2021-02-12T14:13:28 | 2021-02-12T14:13:28 | NONE | null | null | null | null | I've been very excited about this amazing datasets project. However, I've noticed that the performance can be substantially slower than using an in-memory dataset.
Now, this is expected I guess, due to memory mapping data using arrow files, and you don't get anything for free. But I was surprised at how much slower.... | {
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https://api.github.com/repos/huggingface/datasets/issues/707 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/707/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/707/comments | https://api.github.com/repos/huggingface/datasets/issues/707/events | https://github.com/huggingface/datasets/issues/707 | 713,954,666 | MDU6SXNzdWU3MTM5NTQ2NjY= | 707 | Requirements should specify pyarrow<1 | {
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"Hello @mathcass I would want to work on this issue. May I do the same? ",
"@punitaojha, certainly. Feel free to work on this. Let me know if you need any help or clarity.",
"Hello @mathcass \r\n1. I did fork the repository and clone the same on my local system. \r\n\r\n2. Then learnt about how we can publish o... | 2020-10-02T23:39:39 | 2020-12-04T08:22:39 | 2020-10-04T20:50:28 | NONE | null | null | null | null | I was looking at the docs on [Perplexity](https://huggingface.co/transformers/perplexity.html) via GPT2. When you load datasets and try to load Wikitext, you get the error,
```
module 'pyarrow' has no attribute 'PyExtensionType'
```
I traced it back to datasets having installed PyArrow 1.0.1 but there's not pinni... | {
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"Hi !\r\nThanks for reporting :) \r\nIndeed this is an issue on the `datasets` side.\r\nI'm creating a PR",
"Thanks @lhoestq !"
] | 2020-10-02T15:27:55 | 2020-10-05T08:14:59 | 2020-10-05T08:14:59 | NONE | null | null | null | null | ## Environment info
<!-- You can run the command `transformers-cli env` and copy-and-paste its output below.
Don't forget to fill out the missing fields in that output! -->
- `transformers` version: 3.3.1 (installed from master)
- `datasets` version: 1.0.2 (installed as a dependency from transformers)
... | {
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"also i tried below code to solve checksum error \r\n`datasets-cli test ./datasets/xnli --save_infos --all_configs`\r\n\r\nand it shows \r\n\r\n```\r\n2020-10-02 07:06:16.588760: I tensorflow/stream_executor/platform/default/dso_loader.cc:44] Successfully opened dynamic library libcudart.so.10.1\r\nTraceback (most ... | 2020-10-02T06:53:16 | 2020-10-03T17:45:52 | 2020-10-03T17:43:37 | NONE | null | null | null | null | `dataset = datasets.load_dataset(path='xnli')`
showing below error
```
/opt/conda/lib/python3.7/site-packages/nlp/utils/info_utils.py in verify_checksums(expected_checksums, recorded_checksums, verification_name)
36 if len(bad_urls) > 0:
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"Already supported."
] | 2020-10-01T00:56:18 | 2022-02-15T10:46:50 | 2022-02-15T10:46:50 | NONE | null | null | null | null | This is great work, so huge shoutout to contributors and huggingface.
The [/nlp/viewer](https://huggingface.co/nlp/viewer/) is great and the [/datasets](https://huggingface.co/datasets) page is great. I was wondering if in both or either places we can have a filter that selects if a dataset is good for the following... | {
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https://api.github.com/repos/huggingface/datasets/issues/690 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/690/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/690/comments | https://api.github.com/repos/huggingface/datasets/issues/690/events | https://github.com/huggingface/datasets/issues/690 | 712,150,321 | MDU6SXNzdWU3MTIxNTAzMjE= | 690 | XNLI dataset: NonMatchingChecksumError | {
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"Thanks for reporting.\r\nThe data file must have been updated by the host.\r\nI'll update the checksum with the new one.",
"Well actually it looks like the link isn't working anymore :(",
"The new link is https://cims.nyu.edu/~sbowman/xnli/XNLI-1.0.zip\r\nI'll update the dataset script",
"I'll do a release i... | 2020-09-30T17:50:03 | 2020-10-01T17:15:08 | 2020-10-01T14:01:14 | NONE | null | null | null | null | Hi,
I tried to download "xnli" dataset in colab using
`xnli = load_dataset(path='xnli')`
but got 'NonMatchingChecksumError' error
`NonMatchingChecksumError Traceback (most recent call last)
<ipython-input-27-a87bedc82eeb> in <module>()
----> 1 xnli = load_dataset(path='xnli')
3 frames
/usr... | {
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https://api.github.com/repos/huggingface/datasets/issues/687 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/687/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/687/comments | https://api.github.com/repos/huggingface/datasets/issues/687/events | https://github.com/huggingface/datasets/issues/687 | 711,664,810 | MDU6SXNzdWU3MTE2NjQ4MTA= | 687 | `ArrowInvalid` occurs while running `Dataset.map()` function | {
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"Hi !\r\n\r\nThis is because `encode` expects one single text as input (str), or one tokenized text (List[str]).\r\nI believe that you actually wanted to use `encode_batch` which expects a batch of texts.\r\nHowever this method is only available for our \"fast\" tokenizers (ex: BertTokenizerFast).\r\nBertJapanese i... | 2020-09-30T06:16:50 | 2020-09-30T09:53:03 | 2020-09-30T09:53:03 | NONE | null | null | null | null | It seems to fail to process the final batch. This [colab](https://colab.research.google.com/drive/1_byLZRHwGP13PHMkJWo62Wp50S_Z2HMD?usp=sharing) can reproduce the error.
Code:
```python
# train_ds = Dataset(features: {
# 'title': Value(dtype='string', id=None),
# 'score': Value(dtype='float64', id=Non... | {
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https://api.github.com/repos/huggingface/datasets/issues/686 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/686/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/686/comments | https://api.github.com/repos/huggingface/datasets/issues/686/events | https://github.com/huggingface/datasets/issues/686 | 711,385,739 | MDU6SXNzdWU3MTEzODU3Mzk= | 686 | Dataset browser url is still https://huggingface.co/nlp/viewer/ | {
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"Yes! might do it with @srush one of these days. Hopefully it won't break too many links (we can always redirect from old url to new)",
"This was fixed but forgot to close the issue. cc @lhoestq @yjernite \r\n\r\nThanks @jarednielsen!"
] | 2020-09-29T19:21:52 | 2021-01-08T18:29:26 | 2021-01-08T18:29:26 | CONTRIBUTOR | null | null | null | null | Might be worth updating to https://huggingface.co/datasets/viewer/ | {
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https://api.github.com/repos/huggingface/datasets/issues/678 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/678/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/678/comments | https://api.github.com/repos/huggingface/datasets/issues/678/events | https://github.com/huggingface/datasets/issues/678 | 710,060,497 | MDU6SXNzdWU3MTAwNjA0OTc= | 678 | The download instructions for c4 datasets are not contained in the error message | {
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"Good catch !\r\nIndeed the `@property` is missing.\r\n\r\nFeel free to open a PR :)",
"Also not that C4 is a dataset that needs an Apache Beam runtime to be generated.\r\nFor example Dataflow, Spark, Flink etc.\r\n\r\nUsually we generate the dataset on our side once and for all, but we haven't done it for C4 yet... | 2020-09-28T08:30:54 | 2020-09-28T10:26:09 | 2020-09-28T10:26:09 | CONTRIBUTOR | null | null | null | null | The manual download instructions are not clear
```The dataset c4 with config en requires manual data.
Please follow the manual download instructions: <bound method C4.manual_download_instructions of <datasets_modules.datasets.c4.830b0c218bd41fed439812c8dd19dbd4767d2a3faa385eb695cf8666c982b1b3.c4.C4 object at 0x7ff... | {
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https://api.github.com/repos/huggingface/datasets/issues/676 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/676/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/676/comments | https://api.github.com/repos/huggingface/datasets/issues/676/events | https://github.com/huggingface/datasets/issues/676 | 710,014,319 | MDU6SXNzdWU3MTAwMTQzMTk= | 676 | train_test_split returns empty dataset item | {
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"The problem still exists after removing the cache files.",
"Can you reproduce this example in a Colab so we can investigate? (or give more information on your software/hardware config)",
"Thanks for reporting.\r\nI just found the issue, I'm creating a PR",
"We'll do a release pretty soon to include the fix :... | 2020-09-28T07:19:33 | 2020-10-07T13:46:33 | 2020-10-07T13:38:06 | NONE | null | null | null | null | I try to split my dataset by `train_test_split`, but after that the item in `train` and `test` `Dataset` is empty.
The codes:
```
yelp_data = datasets.load_from_disk('/home/ssd4/huanglianzhe/test_yelp')
print(yelp_data[0])
yelp_data = yelp_data.train_test_split(test_size=0.1)
print(yelp_data)
pri... | {
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https://api.github.com/repos/huggingface/datasets/issues/675 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/675/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/675/comments | https://api.github.com/repos/huggingface/datasets/issues/675/events | https://github.com/huggingface/datasets/issues/675 | 709,818,725 | MDU6SXNzdWU3MDk4MTg3MjU= | 675 | Add custom dataset to NLP? | {
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"Yes you can have a look here: https://huggingface.co/docs/datasets/loading_datasets.html#csv-files",
"No activity, closing"
] | 2020-09-27T21:22:50 | 2020-10-20T09:08:49 | 2020-10-20T09:08:49 | CONTRIBUTOR | null | null | null | null | Is it possible to add a custom dataset such as a .csv to the NLP library?
Thanks. | {
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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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"I have the same issue. Tried to download a few of them and not a single one is downloaded successfully.\r\n\r\nThis is the output:\r\n```\r\n>>> dataset = load_dataset('blended_skill_talk', split='train')\r\nUsing custom data configuration default <-- This step never ends\r\n```",
"This was fixed i... | 2020-09-27T03:56:25 | 2020-10-05T08:28:18 | 2020-10-05T08:28:18 | NONE | null | null | null | null | I don't know if this is just me or Windows. Maybe other Windows users can chime in if they don't have this problem. I've been trying to get some of the tutorials working on Windows, but when I use the load_dataset() function, it just stalls and the script keeps running indefinitely without downloading anything. I've wa... | {
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https://api.github.com/repos/huggingface/datasets/issues/673 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/673/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/673/comments | https://api.github.com/repos/huggingface/datasets/issues/673/events | https://github.com/huggingface/datasets/issues/673 | 709,603,989 | MDU6SXNzdWU3MDk2MDM5ODk= | 673 | blog_authorship_corpus crashed | {
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"Thanks for reporting !\r\nWe'll free some memory"
] | 2020-09-26T20:15:28 | 2022-02-15T10:47:58 | 2022-02-15T10:47:58 | NONE | null | 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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https://api.github.com/repos/huggingface/datasets/issues/672 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/672/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/672/comments | https://api.github.com/repos/huggingface/datasets/issues/672/events | https://github.com/huggingface/datasets/issues/672 | 709,575,527 | MDU6SXNzdWU3MDk1NzU1Mjc= | 672 | Questions about XSUM | {
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"We should try to regenerate the data using the official script.\r\nBut iirc that's what we used in the first place, so not sure why it didn't match in the first place.\r\n\r\nI'll let you know when the dataset is updated",
"Thanks, looking forward to hearing your update on this thread. \r\n\r\nThis is a blocking... | 2020-09-26T17:16:24 | 2022-10-04T17:30:17 | 2022-10-04T17:30:17 | CONTRIBUTOR | null | null | null | null | Hi there ✋
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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https://api.github.com/repos/huggingface/datasets/issues/671 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/671/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/671/comments | https://api.github.com/repos/huggingface/datasets/issues/671/events | https://github.com/huggingface/datasets/issues/671 | 709,093,151 | MDU6SXNzdWU3MDkwOTMxNTE= | 671 | [BUG] No such file or directory | {
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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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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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"Hi @xixiaoyao,\r\nDepending on what you want to do you can:\r\n- use a first step of `filter` to filter out the invalid examples: https://huggingface.co/docs/datasets/processing.html#filtering-rows-select-and-filter\r\n- or directly detect the invalid examples inside the callable used with `map` and return them un... | 2020-09-25T11:17:53 | 2022-06-17T21:45:03 | 2020-10-05T16:28:13 | NONE | null | null | null | null | in processing func, I process examples and detect some invalid examples, which I did not want it to be added into train dataset. However I did not find how to skip this recognized invalid example when doing 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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https://api.github.com/repos/huggingface/datasets/issues/667 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/667/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/667/comments | https://api.github.com/repos/huggingface/datasets/issues/667/events | https://github.com/huggingface/datasets/issues/667 | 708,258,392 | MDU6SXNzdWU3MDgyNTgzOTI= | 667 | Loss not decrease with Datasets and Transformers | {
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"And I tested it on T5ForConditionalGeneration, that works no problem.",
"Hi did you manage to fix your issue ?\r\n\r\nIf so feel free to share your fix and close this thread"
] | 2020-09-24T15:14:43 | 2021-01-01T20:01:25 | 2021-01-01T20:01:25 | NONE | null | null | null | null | HI,
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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https://api.github.com/repos/huggingface/datasets/issues/666 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/666/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/666/comments | https://api.github.com/repos/huggingface/datasets/issues/666/events | https://github.com/huggingface/datasets/issues/666 | 707,608,578 | MDU6SXNzdWU3MDc2MDg1Nzg= | 666 | Does both 'bookcorpus' and 'wikipedia' belong to the same datasets which Google used for pretraining BERT? | {
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"No they are other similar copies but they are not provided by the official Bert models authors."
] | 2020-09-23T19:02:25 | 2020-10-27T15:19:25 | 2020-10-27T15:19:25 | NONE | null | null | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/665 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/665/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/665/comments | https://api.github.com/repos/huggingface/datasets/issues/665/events | https://github.com/huggingface/datasets/issues/665 | 707,037,738 | MDU6SXNzdWU3MDcwMzc3Mzg= | 665 | runing dataset.map, it raises TypeError: can't pickle Tokenizer objects | {
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"Hi !\r\nIt works on my side with both the LongFormerTokenizer and the LongFormerTokenizerFast.\r\n\r\nWhich version of transformers/datasets are you using ?",
"transformers and datasets are both the latest",
"Then I guess you need to give us more informations on your setup (OS, python, GPU, etc) or a Google Co... | 2020-09-23T04:28:14 | 2020-10-08T09:32:16 | 2020-10-08T09:32:16 | NONE | null | null | null | null | I load squad dataset. Then want to process data use following function with `Huggingface Transformers LongformerTokenizer`.
```
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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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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"Hi !\r\nThanks for reporting.\r\nIt looks like no object inherits from `datasets.GeneratorBasedBuilder` (or more generally from `datasets.DatasetBuilder`) in your script.\r\n\r\nCould you check that there exist at least one dataset builder class ?",
"Hi @xixiaoyao did you manage to fix your issue ?",
"No activ... | 2020-09-23T03:53:36 | 2023-04-17T09:31:20 | 2020-10-20T09:06:13 | NONE | null | null | null | null |
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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https://api.github.com/repos/huggingface/datasets/issues/657 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/657/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/657/comments | https://api.github.com/repos/huggingface/datasets/issues/657/events | https://github.com/huggingface/datasets/issues/657 | 706,204,383 | MDU6SXNzdWU3MDYyMDQzODM= | 657 | Squad Metric Description & Feature Mismatch | {
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"Thanks for reporting !\r\nThere indeed a mismatch between the features and the kwargs description\r\n\r\nI believe `answer_start` was added to match the squad dataset format for consistency, even though it is not used in the metric computation. I think I'd rather keep it this way, so that you can just give `refere... | 2020-09-22T09:07:00 | 2020-10-13T02:16:56 | 2020-09-29T15:57:38 | NONE | null | null | null | null | 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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https://api.github.com/repos/huggingface/datasets/issues/651 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/651/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/651/comments | https://api.github.com/repos/huggingface/datasets/issues/651/events | https://github.com/huggingface/datasets/issues/651 | 705,212,034 | MDU6SXNzdWU3MDUyMTIwMzQ= | 651 | Problem with JSON dataset format | {
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"Currently the `json` dataset doesn't support this format unfortunately.\r\nHowever you could load it with\r\n```python\r\nfrom datasets import Dataset\r\nimport pandas as pd\r\n\r\ndf = pd.read_json(\"path_to_local.json\", orient=\"index\")\r\ndataset = Dataset.from_pandas(df)\r\n```",
"or you can make a custom ... | 2020-09-20T23:57:14 | 2020-09-21T12:14:24 | null | NONE | null | null | null | null | 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... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/650 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/650/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/650/comments | https://api.github.com/repos/huggingface/datasets/issues/650/events | https://github.com/huggingface/datasets/issues/650 | 704,861,844 | MDU6SXNzdWU3MDQ4NjE4NDQ= | 650 | dummy data testing can't test datasets using `dl_manager.extract` in `_split_generators` | {
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"Hi :) \r\nIn your dummy data zip file you can just have `subset000.xz` as directories instead of compressed files.\r\nLet me know if it helps",
"Thanks for your comment @lhoestq ,\r\nJust for confirmation, changing dummy data like this won't make dummy test test the functionality to extract `subsetxxx.xz` but ac... | 2020-09-19T11:07:03 | 2020-09-22T11:54:10 | 2020-09-22T11:54:09 | CONTRIBUTOR | null | null | null | null | 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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https://api.github.com/repos/huggingface/datasets/issues/649 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/649/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/649/comments | https://api.github.com/repos/huggingface/datasets/issues/649/events | https://github.com/huggingface/datasets/issues/649 | 704,838,415 | MDU6SXNzdWU3MDQ4Mzg0MTU= | 649 | Inconsistent behavior in map | {
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"Thanks for reporting !\r\n\r\nThis issue must have appeared when we refactored type inference in `nlp`\r\nBy default the library tries to keep the same feature types when applying `map` but apparently it has troubles with nested structures. I'll try to fix that next week"
] | 2020-09-19T08:41:12 | 2020-09-21T16:13:05 | 2020-09-21T16:13:05 | NONE | null | 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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https://api.github.com/repos/huggingface/datasets/issues/648 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/648/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/648/comments | https://api.github.com/repos/huggingface/datasets/issues/648/events | https://github.com/huggingface/datasets/issues/648 | 704,753,123 | MDU6SXNzdWU3MDQ3NTMxMjM= | 648 | offset overflow when multiprocessing batched map on large datasets. | {
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"This should be fixed with #645 ",
"Feel free to re-open if it still occurs",
"This has just happened to me while working with a large (65GB) Parquet dataset.\n```\n[rank0]: Traceback (most recent call last):\n[rank0]: File \"/app/LLaMA-Factory/src/llamafactory/launcher.py\", line 23, in <module>\n[rank0]: ... | 2020-09-19T02:15:11 | 2025-06-17T12:56:07 | 2020-09-19T16:46:31 | CONTRIBUTOR | null | null | null | null | 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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https://api.github.com/repos/huggingface/datasets/issues/647 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/647/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/647/comments | https://api.github.com/repos/huggingface/datasets/issues/647/events | https://github.com/huggingface/datasets/issues/647 | 704,734,764 | MDU6SXNzdWU3MDQ3MzQ3NjQ= | 647 | Cannot download dataset_info.json | {
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"Thanks for reporting !\r\nWe should add support for servers without internet connection indeed\r\nI'll do that early next week",
"Thanks, @lhoestq !\r\nPlease let me know when it is available. ",
"Right now the recommended way is to create the dataset on a server with internet connection and then to save it an... | 2020-09-19T01:35:15 | 2020-09-21T08:28:42 | 2020-09-21T08:28:42 | NONE | null | null | null | null | 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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https://api.github.com/repos/huggingface/datasets/issues/643 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/643/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/643/comments | https://api.github.com/repos/huggingface/datasets/issues/643/events | https://github.com/huggingface/datasets/issues/643 | 704,477,164 | MDU6SXNzdWU3MDQ0NzcxNjQ= | 643 | Caching processed dataset at wrong folder | {
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"Thanks for reporting !\r\nIt uses a temporary file to write the data.\r\nHowever it looks like the temporary file is not placed in the right directory during the processing",
"Well actually I just tested and the temporary file is placed in the same directory, so it should work as expected.\r\nWhich version of `d... | 2020-09-18T15:41:26 | 2022-02-16T14:53:29 | 2022-02-16T14:53:29 | CONTRIBUTOR | null | 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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https://api.github.com/repos/huggingface/datasets/issues/638 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/638/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/638/comments | https://api.github.com/repos/huggingface/datasets/issues/638/events | https://github.com/huggingface/datasets/issues/638 | 704,146,956 | MDU6SXNzdWU3MDQxNDY5NTY= | 638 | GLUE/QQP dataset: NonMatchingChecksumError | {
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"Hi ! Sure I'll take a look"
] | 2020-09-18T07:09:10 | 2020-09-18T11:37:07 | 2020-09-18T11:37:07 | CONTRIBUTOR | null | null | null | null | 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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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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"Not sure what could cause that on the `datasets` side. Could this be a `Trainer` issue ? cc @julien-c @sgugger ?",
"There was a memory leak issue fixed recently in master. You should install from source and see if it fixes your problem.",
"@lhoestq @sgugger Thanks for your comments. I have install from source ... | 2020-09-16T04:33:15 | 2021-02-16T12:02:01 | null | NONE | null | null | null | null | 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... | null | {
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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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"Seems like it works when setting ```block_size=2100000000``` or something arbitrarily large though.",
"Can you give us some stats on the data files you use as inputs?",
"Basically ~600MB txt files(UTF-8) * 59. \r\ncontents like ```안녕하세요, 이것은 예제로 한번 말해보는 텍스트입니다. 그냥 이렇다고요.<|endoftext|>\\n```\r\n\r\nAlso, it gets... | 2020-09-15T06:02:36 | 2020-09-25T22:21:43 | 2020-09-25T22:21:43 | NONE | null | null | null | null | ```
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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"sorry it's an apache arrow issue."
] | 2020-09-15T00:30:46 | 2020-09-15T00:36:17 | 2020-09-15T00:32:17 | NONE | null | null | null | null | 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/625 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/625/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/625/comments | https://api.github.com/repos/huggingface/datasets/issues/625/events | https://github.com/huggingface/datasets/issues/625 | 701,057,799 | MDU6SXNzdWU3MDEwNTc3OTk= | 625 | dtype of tensors should be preserved | {
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"Indeed we convert tensors to list to be able to write in arrow format. Because of this conversion we lose the dtype information. We should add the dtype detection when we do type inference. However it would require a bit of refactoring since currently the conversion happens before the type inference..\r\n\r\nAnd t... | 2020-09-14T12:38:05 | 2021-08-17T08:30:04 | 2021-08-17T08:30:04 | CONTRIBUTOR | null | null | null | null | 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-... | {
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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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] | open | false | null | [] | [] | 2020-09-13T10:20:27 | 2020-09-14T09:50:02 | null | NONE | null | null | null | null | 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 ?
| null | {
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https://api.github.com/repos/huggingface/datasets/issues/623 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/623/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/623/comments | https://api.github.com/repos/huggingface/datasets/issues/623/events | https://github.com/huggingface/datasets/issues/623 | 700,235,308 | MDU6SXNzdWU3MDAyMzUzMDg= | 623 | Custom feature types in `load_dataset` from CSV | {
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"Currently `csv` doesn't support the `features` attribute (unlike `json`).\r\nWhat you can do for now is cast the features using the in-place transform `cast_`\r\n\r\n```python\r\nfrom datasets import load_dataset\r\n\r\ndataset = load_dataset('csv', data_files=file_dict, delimiter=';', column_names=['text', 'label... | 2020-09-12T13:21:34 | 2020-09-30T19:51:43 | 2020-09-30T08:39:54 | MEMBER | null | null | null | null | 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... | {
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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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"Can you give us more information on your os and pip environments (pip list)?",
"@thomwolf Sure. I'll try downgrading to 3.7 now even though Arrow say they support >=3.5.\r\n\r\nLinux (Ubuntu 18.04) - Python 3.8\r\n======================\r\nPackage - Version\r\n---------------------\r\ncertifi 2... | 2020-09-12T12:49:28 | 2020-10-28T11:07:31 | 2020-10-28T11:07:30 | CONTRIBUTOR | null | null | null | null | 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 ... | {
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https://api.github.com/repos/huggingface/datasets/issues/620 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/620/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/620/comments | https://api.github.com/repos/huggingface/datasets/issues/620/events | https://github.com/huggingface/datasets/issues/620 | 699,815,135 | MDU6SXNzdWU2OTk4MTUxMzU= | 620 | map/filter multiprocessing raises errors and corrupts datasets | {
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"It seems that I ran into the same problem\r\n```\r\ndef tokenize(cols, example):\r\n for in_col, out_col in cols.items():\r\n example[out_col] = hf_tokenizer.convert_tokens_to_ids(hf_tokenizer.tokenize(example[in_col]))\r\n return example\r\ncola = datasets.load_dataset('glue', 'cola')\r\ntokenized_cola = col... | 2020-09-11T22:30:06 | 2020-10-08T16:31:47 | 2020-10-08T16:31:46 | NONE | null | null | null | null | 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... | {
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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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"Indeed you're right ! Thanks for reporting that\r\n\r\nCould you open a PR to fix the features names ?"
] | 2020-09-11T20:46:23 | 2020-09-16T06:59:19 | 2020-09-16T06:59:19 | CONTRIBUTOR | null | null | null | null | 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... | {
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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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"Updates - the differences between the following three\r\n(1) https://github.com/bheinzerling/pyrouge (previously popular. The one I trust the most)\r\n(2) https://github.com/google-research/google-research/tree/master/rouge\r\n(3) https://github.com/pltrdy/files2rouge (used in fairseq)\r\ncan be explained by two t... | 2020-09-11T15:49:32 | 2023-03-22T12:08:44 | 2020-10-02T09:52:18 | NONE | null | null | null | null | 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... | {
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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 have the same issue",
"Same issue here when Trying to load a dataset from disk.",
"I am also experiencing this issue, and don't know if it's affecting my training.",
"Same here. I hope the dataset is not being modified in-place.",
"I think the only way to avoid this warning would be to do a copy of the n... | 2020-09-11T15:39:16 | 2021-07-22T21:12:21 | null | CONTRIBUTOR | null | null | null | null | 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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"Related: https://issues.apache.org/jira/browse/ARROW-9773\r\n\r\nIt's definitely a size thing. I took a smaller dataset with 87000 rows and did:\r\n```\r\nfor i in range(10,1000,20):\r\n table = pa.concat_tables([dset._data]*i)\r\n table.take([0])\r\n```\r\nand it broke at around i=300.\r\n\r\nAlso when `_in... | 2020-09-11T14:50:38 | 2024-05-02T06:53:15 | 2020-09-19T16:46:31 | MEMBER | null | null | null | null | 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/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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"Can you give us stats/information on your pandas DataFrame?",
"```\r\n<class 'pandas.core.frame.DataFrame'>\r\nInt64Index: 17136104 entries, 0 to 17136103\r\nData columns (total 6 columns):\r\n # Column Dtype \r\n--- ------ ----- \r\n 0 item_id int64 \r\n 1 item_titl object \r\n... | 2020-09-11T05:29:12 | 2022-06-01T15:11:43 | 2022-06-01T15:11:43 | NONE | null | null | null | null | 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)... | {
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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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"Could you try\r\n```python\r\nload_dataset('text', data_files='test.txt',cache_dir=\"./\", split=\"train\")\r\n```\r\n?\r\n\r\n`load_dataset` returns a dictionary by default, like {\"train\": your_dataset}",
"Hi @lhoestq\r\nThanks for your suggestion.\r\n\r\nI tried \r\n```\r\ndataset = load_dataset('text', data... | 2020-09-10T18:41:38 | 2022-11-22T13:51:24 | 2022-11-22T13:51:23 | NONE | null | null | null | null | 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/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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"Feel free to open the PR ;)\r\nThanks for updating the dataset_info.json file !"
] | 2020-09-10T17:47:02 | 2020-09-16T06:53:18 | 2020-09-16T06:53:18 | CONTRIBUTOR | null | null | null | null | 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/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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"When I change from python3.6 to python3.8, it works! ",
"Does it work when you install `nlp` from source on python 3.6?",
"No, still the pickling error.",
"I wasn't able to reproduce on google colab (python 3.6.9 as well) with \r\n\r\npickle==4.0\r\ndill=0.3.2\r\ntransformers==3.1.0\r\ndatasets=1.0.1 (also t... | 2020-09-10T06:28:08 | 2020-09-25T14:31:54 | 2020-09-25T14:31:54 | NONE | null | null | null | null | 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... | {
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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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"Thanks for reporting !\r\nWhich version of transformers are you using ?\r\nIt looks like it doesn't have the PreTrainedTokenizerBase class",
"I was using transformer 2.9. And I switch to the latest transformer package. Everything works just fine!!\r\n\r\nThanks for helping! I should look more carefully next time... | 2020-09-09T21:03:23 | 2020-09-10T06:25:21 | 2020-09-09T22:57:28 | NONE | null | null | null | null | 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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"I fixed a bug that could cause this issue earlier today. Could you pull the latest version and try again ?",
"Still the case on master.\r\nI guess we should have an offset in the multi-procs indeed (hopefully it's enough).\r\n\r\nAlso, side note is that we should add some logging before the \"test\" to say we ar... | 2020-09-09T19:50:56 | 2020-09-10T11:03:37 | 2020-09-10T11:03:37 | CONTRIBUTOR | null | null | null | null | 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... | {
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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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"`pip install git+https://github.com/huggingface/nlp.git` should have done the job.\r\n\r\nDid you uninstall `nlp` before installing from github ?",
"> Did you uninstall `nlp` before installing from github ?\r\n\r\nI did not. I created a new environment and installed `nlp` directly from `github` and it worked!\r\... | 2020-09-09T15:01:52 | 2020-09-09T16:20:19 | 2020-09-09T16:20:18 | NONE | null | null | null | null | 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... | {
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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, which version of `nlp` are you using?\r\n\r\nBy the way we'll be releasing today a significant update fixing many issues (but also comprising a few breaking changes).\r\nYou can see more informations here #545 and try it by installing from source from the master branch.",
"I'm using version 0.4.0.\r\n\r\n",
... | 2020-09-09T07:01:36 | 2020-09-25T14:02:28 | 2020-09-25T14:02:28 | NONE | null | null | null | null | 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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https://api.github.com/repos/huggingface/datasets/issues/589 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/589/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/589/comments | https://api.github.com/repos/huggingface/datasets/issues/589/events | https://github.com/huggingface/datasets/issues/589 | 696,488,447 | MDU6SXNzdWU2OTY0ODg0NDc= | 589 | Cannot use nlp.load_dataset text, AttributeError: module 'nlp.utils' has no attribute 'logging' | {
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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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https://api.github.com/repos/huggingface/datasets/issues/583 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/583/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/583/comments | https://api.github.com/repos/huggingface/datasets/issues/583/events | https://github.com/huggingface/datasets/issues/583 | 695,166,265 | MDU6SXNzdWU2OTUxNjYyNjU= | 583 | ArrowIndexError on Dataset.select | {
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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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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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```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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https://api.github.com/repos/huggingface/datasets/issues/581 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/581/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/581/comments | https://api.github.com/repos/huggingface/datasets/issues/581/events | https://github.com/huggingface/datasets/issues/581 | 695,120,517 | MDU6SXNzdWU2OTUxMjA1MTc= | 581 | Better error message when input file does not exist | {
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```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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"Couln't reproduce on my side :/ \r\nlet me know if you manage to reproduce on another env (colab for example)",
"Fixed with a clean re-install!"
] | 2020-09-07T10:23:50 | 2020-09-07T15:19:09 | 2020-09-07T14:26:41 | CONTRIBUTOR | null | null | null | null | `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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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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"Some wikipedia languages have already been processed by us and are hosted on our google storage. This is the case for \"fr\" and \"en\" for example.\r\n\r\nFor other smaller languages (in terms of bytes), they are directly downloaded and parsed from the wikipedia dump site.\r\nParsing can take some time for langua... | 2020-09-07T01:16:29 | 2023-04-11T22:50:48 | 2022-10-11T11:16:04 | CONTRIBUTOR | null | null | null | null | 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', '... | {
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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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"Update:\r\n\r\nThe imdb download completed after a long time (about 45 mins). Ofcourse once download loading was instantaneous. Also, the loaded object was of type `arrow_dataset`. \r\n\r\nThe urls for glue still doesn't work though.",
"Thanks for the report, I'll give a look!",
"I am also seeing a similar err... | 2020-09-04T21:46:25 | 2020-09-22T10:41:36 | 2020-09-22T10:41:36 | NONE | null | null | null | null | 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/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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"Hmm might be related to what we are solving in #564",
"Could you try to update to `datasets>=1.0.0` (we changed the name of the library) and try again ?\r\nIf is was related to the distributed setup settings it must be fixed.\r\nIf it was related to empty metric inputs it's going to be fixed in #654 ",
"Closin... | 2020-09-03T04:56:57 | 2020-10-05T16:33:53 | 2020-10-05T16:33:53 | NONE | null | null | null | null | 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/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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"Thanks for reporting.\r\n\r\nApparently this is a versioning issue: the lib downloaded the `bleurt` script from the master branch where we did this change recently. We'll fix that in a new release this week or early next week. Cc @thomwolf \r\n\r\nUntil that, I'd suggest you to download the right bleurt folder fro... | 2020-09-02T13:49:50 | 2020-09-03T07:29:50 | 2020-09-03T07:29:50 | NONE | null | null | null | null | 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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https://api.github.com/repos/huggingface/datasets/issues/560 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/560/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/560/comments | https://api.github.com/repos/huggingface/datasets/issues/560/events | https://github.com/huggingface/datasets/issues/560 | 690,488,764 | MDU6SXNzdWU2OTA0ODg3NjQ= | 560 | Using custom DownloadConfig results in an error | {
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"From my limited understanding, part of the issue seems related to the `prepare_module` and `download_and_prepare` functions each handling the case where no config is passed. For example, `prepare_module` does mutate the object passed and forces the flags `extract_compressed_file` and `force_extract` to `True`.\r\... | 2020-09-01T22:23:02 | 2022-10-04T17:23:45 | 2022-10-04T17:23:45 | NONE | null | null | null | null | ## 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... | {
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https://api.github.com/repos/huggingface/datasets/issues/554 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/554/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/554/comments | https://api.github.com/repos/huggingface/datasets/issues/554/events | https://github.com/huggingface/datasets/issues/554 | 690,173,214 | MDU6SXNzdWU2OTAxNzMyMTQ= | 554 | nlp downloads to its module path | {
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"Indeed this is a known issue arising from the fact that we try to be compatible with cloupickle.\r\n\r\nDoes this also happen if you are installing in a virtual environment?",
"> Indeed this is a know issue with the fact that we try to be compatible with cloupickle.\r\n> \r\n> Does this also happen if you are in... | 2020-09-01T14:06:14 | 2020-09-11T06:19:24 | 2020-09-11T06:19:24 | MEMBER | null | null | null | null | I am trying to package `nlp` for Nix, because it is now an optional dependency for `transformers`. The problem that I encounter is that the `nlp` library downloads to the module path, which is typically not writable in most package management systems:
```>>> import nlp
>>> squad_dataset = nlp.load_dataset('squad')
... | {
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https://api.github.com/repos/huggingface/datasets/issues/546 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/546/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/546/comments | https://api.github.com/repos/huggingface/datasets/issues/546/events | https://github.com/huggingface/datasets/issues/546 | 689,186,526 | MDU6SXNzdWU2ODkxODY1MjY= | 546 | Very slow data loading on large dataset | {
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"When you load a text file for the first time with `nlp`, the file is converted into Apache Arrow format. Arrow allows to use memory-mapping, which means that you can load an arbitrary large dataset.\r\n\r\nNote that as soon as the conversion has been done once, the next time you'll load the dataset it will be much... | 2020-08-31T12:57:23 | 2024-01-02T20:26:24 | 2020-09-08T10:19:57 | NONE | null | null | null | null | I made a simple python script to check the NLP library speed, which loads 1.1 TB of textual data.
It has been 8 hours and still, it is on the loading steps.
It does work when the text dataset size is small about 1 GB, but it doesn't scale.
It also uses a single thread during the data loading step.
```
train_fil... | {
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https://api.github.com/repos/huggingface/datasets/issues/545 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/545/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/545/comments | https://api.github.com/repos/huggingface/datasets/issues/545/events | https://github.com/huggingface/datasets/issues/545 | 689,138,878 | MDU6SXNzdWU2ODkxMzg4Nzg= | 545 | New release coming up for this library | {
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"Update: release is planed mid-next week."
] | 2020-08-31T11:37:38 | 2021-01-13T10:59:04 | 2021-01-13T10:59:04 | MEMBER | null | null | null | null | Hi all,
A few words on the roadmap for this library.
The next release will be a big one and is planed at the end of this week.
In addition to the support for indexed datasets (useful for non-parametric models like REALM, RAG, DPR, knn-LM and many other fast dataset retrieval technics), it will:
- have support f... | {
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https://api.github.com/repos/huggingface/datasets/issues/543 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/543/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/543/comments | https://api.github.com/repos/huggingface/datasets/issues/543/events | https://github.com/huggingface/datasets/issues/543 | 688,644,407 | MDU6SXNzdWU2ODg2NDQ0MDc= | 543 | nlp.load_dataset is not safe for multi processes when loading from local files | {
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"I'll take a look!"
] | 2020-08-30T03:20:34 | 2020-08-31T11:15:10 | 2020-08-31T11:15:10 | NONE | null | null | null | null | Loading from local files, e.g., `dataset = nlp.load_dataset('csv', data_files=['file_1.csv', 'file_2.csv'])`
concurrently from multiple processes, will raise `FileExistsError` from builder's line 430, https://github.com/huggingface/nlp/blob/6655008c738cb613c522deb3bd18e35a67b2a7e5/src/nlp/builder.py#L423-L438
Likel... | {
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https://api.github.com/repos/huggingface/datasets/issues/541 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/541/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/541/comments | https://api.github.com/repos/huggingface/datasets/issues/541/events | https://github.com/huggingface/datasets/issues/541 | 688,521,224 | MDU6SXNzdWU2ODg1MjEyMjQ= | 541 | Best practices for training tokenizers with nlp | {
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"Docs that explain how to train a tokenizer with `datasets` are available here: https://huggingface.co/docs/tokenizers/training_from_memory#using-the-datasets-library"
] | 2020-08-29T12:06:49 | 2022-10-04T17:28:04 | 2022-10-04T17:28:04 | NONE | null | null | null | null | Hi, thank you for developing this library.
What do you think are the best practices for training tokenizers using `nlp`? In the document and examples, I could only find pre-trained tokenizers used. | {
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https://api.github.com/repos/huggingface/datasets/issues/539 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/539/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/539/comments | https://api.github.com/repos/huggingface/datasets/issues/539/events | https://github.com/huggingface/datasets/issues/539 | 688,323,602 | MDU6SXNzdWU2ODgzMjM2MDI= | 539 | [Dataset] `NonMatchingChecksumError` due to an update in the LinCE benchmark data | {
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"Hi @gaguilar \r\n\r\nIf you want to take care of this, it very simple, you just need to regenerate the `dataset_infos.json` file as indicated [in the doc](https://huggingface.co/nlp/share_dataset.html#adding-metadata) by [installing from source](https://huggingface.co/nlp/installation.html#installing-from-source) ... | 2020-08-28T19:55:51 | 2020-09-03T16:34:02 | 2020-09-03T16:34:01 | CONTRIBUTOR | null | null | null | null | Hi,
There is a `NonMatchingChecksumError` error for the `lid_msaea` (language identification for Modern Standard Arabic - Egyptian Arabic) dataset from the LinCE benchmark due to a minor update on that dataset.
How can I update the checksum of the library to solve this issue? The error is below and it also appea... | {
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https://api.github.com/repos/huggingface/datasets/issues/537 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/537/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/537/comments | https://api.github.com/repos/huggingface/datasets/issues/537/events | https://github.com/huggingface/datasets/issues/537 | 687,614,699 | MDU6SXNzdWU2ODc2MTQ2OTk= | 537 | [Dataset] RACE dataset Checksums error | {
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"color": "2edb81",
"default": false,
"description": "A bug in a dataset script provided in the library",
"id": 2067388877,
"name": "dataset bug",
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"`NonMatchingChecksumError` means that the checksum of the downloaded file is not the expected one.\r\nEither the file you downloaded was corrupted along the way, or the host updated the file.\r\nCould you try to clear your cache and run `load_dataset` again ? If the error is still there, it means that there was an... | 2020-08-27T23:58:16 | 2020-09-18T12:07:04 | 2020-09-18T12:07:04 | CONTRIBUTOR | null | null | null | null | Hi there, I just would like to use this awesome lib to perform a dataset fine-tuning on RACE dataset. I have performed the following steps:
```
dataset = nlp.load_dataset("race")
len(dataset["train"]), len(dataset["validation"])
```
But then I got the following error:
```
----------------------------------... | {
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https://api.github.com/repos/huggingface/datasets/issues/534 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/534/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/534/comments | https://api.github.com/repos/huggingface/datasets/issues/534/events | https://github.com/huggingface/datasets/issues/534 | 686,115,912 | MDU6SXNzdWU2ODYxMTU5MTI= | 534 | `list_datasets()` is broken. | {
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"Thanks for reporting !\r\nThis has been fixed in #475 and the fix will be available in the next release",
"What you can do instead to get the list of the datasets is call\r\n\r\n```python\r\nprint([dataset.id for dataset in nlp.list_datasets()])\r\n```",
"Thanks @lhoestq . "
] | 2020-08-26T08:19:01 | 2020-08-27T06:31:11 | 2020-08-27T06:31:11 | NONE | null | null | null | null | version = '0.4.0'
`list_datasets()` is broken. It results in the following error :
```
In [3]: nlp.list_datasets()
Out[3]: ---------------------------------------------------------------------------
AttributeError Traceback (most recent call last)
~/.virtualenvs/san-lgUCsFg_/lib/py... | {
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https://api.github.com/repos/huggingface/datasets/issues/532 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/532/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/532/comments | https://api.github.com/repos/huggingface/datasets/issues/532/events | https://github.com/huggingface/datasets/issues/532 | 685,540,614 | MDU6SXNzdWU2ODU1NDA2MTQ= | 532 | File exists error when used with TPU | {
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"I am facing probably facing similar issues with \r\n\r\n`wiki40b_en_100_0`",
"Could you try to run `dataset = load_dataset(\"text\", data_files=file_path, split=\"train\")` once before calling the script ?\r\n\r\nIt looks like several processes try to create the dataset in arrow format at the same time. If the d... | 2020-08-25T14:36:38 | 2020-09-01T12:14:56 | null | NONE | null | null | null | null | Hi,
I'm getting a "File exists" error when I use [text dataset](https://github.com/huggingface/nlp/tree/master/datasets/text) for pre-training a RoBERTa model using `transformers` (3.0.2) and `nlp`(0.4.0) on a VM with TPU (v3-8).
I modified [line 131 in the original `run_language_modeling.py`](https://github.com/... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/525 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/525/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/525/comments | https://api.github.com/repos/huggingface/datasets/issues/525/events | https://github.com/huggingface/datasets/issues/525 | 683,875,483 | MDU6SXNzdWU2ODM4NzU0ODM= | 525 | wmt download speed example | {
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"Thanks for creating the issue :)\r\nThe download link for wmt-en-de raw looks like a mirror. We should use that instead of the current url.\r\nIs this mirror official ?\r\n\r\nAlso it looks like for `ro-en` it tried to download other languages. If we manage to only download the one that is asked it'd be cool\r\n\r... | 2020-08-21T23:29:06 | 2022-10-04T17:45:39 | 2022-10-04T17:45:39 | CONTRIBUTOR | null | null | null | null | Continuing from the slack 1.0 roadmap thread w @lhoestq , I realized the slow downloads is only a thing sometimes. Here are a few examples, I suspect there are multiple issues. All commands were run from the same gcp us-central-1f machine.
```
import nlp
nlp.load_dataset('wmt16', 'de-en')
```
Downloads at 49.1 K... | {
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https://api.github.com/repos/huggingface/datasets/issues/524 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/524/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/524/comments | https://api.github.com/repos/huggingface/datasets/issues/524/events | https://github.com/huggingface/datasets/issues/524 | 683,686,359 | MDU6SXNzdWU2ODM2ODYzNTk= | 524 | Some docs are missing parameter names | {
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"Indeed, good catch!"
] | 2020-08-21T16:47:34 | 2020-08-25T09:04:03 | 2020-08-25T09:04:03 | CONTRIBUTOR | null | null | null | null | See https://huggingface.co/nlp/master/package_reference/main_classes.html#nlp.Dataset.map. I believe this is because the parameter names are enclosed in backticks in the docstrings, maybe it's an old docstring format that doesn't work with the current Sphinx version. | {
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https://api.github.com/repos/huggingface/datasets/issues/522 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/522/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/522/comments | https://api.github.com/repos/huggingface/datasets/issues/522/events | https://github.com/huggingface/datasets/issues/522 | 682,478,833 | MDU6SXNzdWU2ODI0Nzg4MzM= | 522 | dictionnary typo in docs | {
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"Thanks!"
] | 2020-08-20T07:11:05 | 2020-08-20T07:52:14 | 2020-08-20T07:52:13 | CONTRIBUTOR | null | null | null | null | Many places dictionary is spelled dictionnary, not sure if its on purpose or not.
Fixed in this pr:
https://github.com/huggingface/nlp/pull/521 | {
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https://api.github.com/repos/huggingface/datasets/issues/519 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/519/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/519/comments | https://api.github.com/repos/huggingface/datasets/issues/519/events | https://github.com/huggingface/datasets/issues/519 | 682,193,882 | MDU6SXNzdWU2ODIxOTM4ODI= | 519 | [BUG] Metrics throwing new error on master since 0.4.0 | {
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"Update - maybe this is only failing on bleu because I was not tokenizing inputs to the metric",
"Closing - seems to be just forgetting to tokenize. And found the helpful discussion in huggingface/evaluate#105 "
] | 2020-08-19T21:29:15 | 2022-06-02T16:41:01 | 2020-08-19T22:04:40 | CONTRIBUTOR | null | null | null | null | The following error occurs when passing in references of type `List[List[str]]` to metrics like bleu.
Wasn't happening on 0.4.0 but happening now on master.
```
File "/usr/local/lib/python3.7/site-packages/nlp/metric.py", line 226, in compute
self.add_batch(predictions=predictions, references=references)
... | {
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https://api.github.com/repos/huggingface/datasets/issues/517 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/517/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/517/comments | https://api.github.com/repos/huggingface/datasets/issues/517/events | https://github.com/huggingface/datasets/issues/517 | 681,896,944 | MDU6SXNzdWU2ODE4OTY5NDQ= | 517 | add MLDoc dataset | {
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{
"color": "e99695",
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"description": "Requesting to add a new dataset",
"id": 2067376369,
"name": "dataset request",
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"Any updates on this?",
"This request is still an open issue waiting to be addressed by any community member, @GuillemGSubies."
] | 2020-08-19T14:41:59 | 2021-08-03T05:59:33 | null | CONTRIBUTOR | null | null | null | null | Hi,
I am recommending that someone add MLDoc, a multilingual news topic classification dataset.
- Here's a link to the Github: https://github.com/facebookresearch/MLDoc
- and the paper: http://www.lrec-conf.org/proceedings/lrec2018/pdf/658.pdf
Looks like the dataset contains news stories in multiple languages... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/514 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/514/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/514/comments | https://api.github.com/repos/huggingface/datasets/issues/514/events | https://github.com/huggingface/datasets/issues/514 | 681,256,348 | MDU6SXNzdWU2ODEyNTYzNDg= | 514 | dataset.shuffle(keep_in_memory=True) is never allowed | {
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"This seems to be fixed in #513 for the filter function, replacing `cache_file_name` with `indices_cache_file_name` in the assert. Although not for the `map()` function @thomwolf ",
"Maybe I'm a bit tired but I fail to see the issue here.\r\n\r\nSince `cache_file_name` is `None` by default, if you set `keep_in_me... | 2020-08-18T18:47:40 | 2022-10-10T12:21:58 | 2022-10-10T12:21:58 | CONTRIBUTOR | null | null | null | null | As of commit ef4aac2, the usage of the parameter `keep_in_memory=True` is never possible: `dataset.select(keep_in_memory=True)`
The commit added the lines
```python
# lines 994-996 in src/nlp/arrow_dataset.py
assert (
not keep_in_memory or cache_file_name is None
), "Please use either... | {
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https://api.github.com/repos/huggingface/datasets/issues/511 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/511/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/511/comments | https://api.github.com/repos/huggingface/datasets/issues/511/events | https://github.com/huggingface/datasets/issues/511 | 681,055,553 | MDU6SXNzdWU2ODEwNTU1NTM= | 511 | dataset.shuffle() and select() resets format. Intended? | {
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"Hi @vegarab yes feel free to open a discussion here.\r\n\r\nThis design choice was not very much thought about.\r\n\r\nSince `dataset.select()` (like all the method without a trailing underscore) is non-destructive and returns a new dataset it has most of its properties initialized from scratch (except the table a... | 2020-08-18T13:46:01 | 2020-09-14T08:45:38 | 2020-09-14T08:45:38 | CONTRIBUTOR | null | null | null | null | Calling `dataset.shuffle()` or `dataset.select()` on a dataset resets its format set by `dataset.set_format()`. Is this intended or an oversight?
When working on quite large datasets that require a lot of preprocessing I find it convenient to save the processed dataset to file using `torch.save("dataset.pt")`. Later... | {
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https://api.github.com/repos/huggingface/datasets/issues/510 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/510/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/510/comments | https://api.github.com/repos/huggingface/datasets/issues/510/events | https://github.com/huggingface/datasets/issues/510 | 680,823,644 | MDU6SXNzdWU2ODA4MjM2NDQ= | 510 | Version of numpy to use the library | {
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"Seems like this method was added in 1.17. I'll add a requirement on this.",
"Thank you so much. After upgrading the numpy library, it worked."
] | 2020-08-18T08:59:13 | 2020-08-19T18:35:56 | 2020-08-19T18:35:56 | NONE | null | null | null | null | Thank you so much for your excellent work! I would like to use nlp library in my project. While importing nlp, I am receiving the following error `AttributeError: module 'numpy.random' has no attribute 'Generator'` Numpy version in my project is 1.16.0. May I learn which numpy version is used for the nlp library.
Th... | {
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https://api.github.com/repos/huggingface/datasets/issues/509 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/509/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/509/comments | https://api.github.com/repos/huggingface/datasets/issues/509/events | https://github.com/huggingface/datasets/issues/509 | 679,711,585 | MDU6SXNzdWU2Nzk3MTE1ODU= | 509 | Converting TensorFlow dataset example | {
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"Do you want to convert a dataset script to the tfds format ?\r\nIf so, we currently have a comversion script nlp/commands/convert.py but it is a conversion script that goes from tfds to nlp.\r\nI think it shouldn't be too hard to do the changes in reverse (at some manual adjustments).\r\nIf you manage to make it w... | 2020-08-16T08:05:20 | 2021-08-03T06:01:18 | 2021-08-03T06:01:17 | NONE | null | null | null | null | Hi,
I want to use TensorFlow datasets with this repo, I noticed you made some conversion script,
can you give a simple example of using it?
Thanks
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https://api.github.com/repos/huggingface/datasets/issues/508 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/508/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/508/comments | https://api.github.com/repos/huggingface/datasets/issues/508/events | https://github.com/huggingface/datasets/issues/508 | 679,705,734 | MDU6SXNzdWU2Nzk3MDU3MzQ= | 508 | TypeError: Receiver() takes no arguments | {
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"Which version of Apache Beam do you have (can you copy your full environment info here)?",
"apache-beam==2.23.0\r\nnlp==0.4.0\r\n\r\nFor me this was resolved by running the same python script on Linux (or really WSL). ",
"Do you manage to run a dummy beam pipeline with python on windows ? \r\nYou can test a du... | 2020-08-16T07:18:16 | 2020-09-01T14:53:33 | 2020-09-01T14:49:03 | NONE | null | null | null | null | I am trying to load a wikipedia data set
```
import nlp
from nlp import load_dataset
dataset = load_dataset("wikipedia", "20200501.en", split="train", cache_dir=data_path, beam_runner='DirectRunner')
#dataset = load_dataset('wikipedia', '20200501.sv', cache_dir=data_path, beam_runner='DirectRunner')
```
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https://api.github.com/repos/huggingface/datasets/issues/507 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/507/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/507/comments | https://api.github.com/repos/huggingface/datasets/issues/507/events | https://github.com/huggingface/datasets/issues/507 | 679,400,683 | MDU6SXNzdWU2Nzk0MDA2ODM= | 507 | Errors when I use | {
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"Looks like an issue with 3.0.2 transformers version. Works fine when I use \"master\" version of transformers."
] | 2020-08-14T21:03:57 | 2020-08-14T21:39:10 | 2020-08-14T21:39:10 | NONE | null | null | null | null | I tried the following example code from https://huggingface.co/deepset/roberta-base-squad2 and got errors
I am using **transformers 3.0.2** code .
from transformers.pipelines import pipeline
from transformers.modeling_auto import AutoModelForQuestionAnswering
from transformers.tokenization_auto import AutoToke... | {
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https://api.github.com/repos/huggingface/datasets/issues/501 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/501/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/501/comments | https://api.github.com/repos/huggingface/datasets/issues/501/events | https://github.com/huggingface/datasets/issues/501 | 677,952,893 | MDU6SXNzdWU2Nzc5NTI4OTM= | 501 | Caching doesn't work for map (non-deterministic) | {
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"Thanks for reporting !\r\n\r\nTo store the cache file, we compute a hash of the function given in `.map`, using our own hashing function.\r\nThe hash doesn't seem to stay the same over sessions for the tokenizer.\r\nApparently this is because of the regex at `tokenizer.pat` is not well supported by our hashing fun... | 2020-08-12T20:20:07 | 2022-08-08T11:02:23 | 2020-08-24T16:34:35 | NONE | null | null | null | null | The caching functionality doesn't work reliably when tokenizing a dataset. Here's a small example to reproduce it.
```python
import nlp
import transformers
def main():
ds = nlp.load_dataset("reddit", split="train[:500]")
tokenizer = transformers.AutoTokenizer.from_pretrained("gpt2")
def conv... | {
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https://api.github.com/repos/huggingface/datasets/issues/492 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/492/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/492/comments | https://api.github.com/repos/huggingface/datasets/issues/492/events | https://github.com/huggingface/datasets/issues/492 | 676,495,064 | MDU6SXNzdWU2NzY0OTUwNjQ= | 492 | nlp.Features does not distinguish between nullable and non-nullable types in PyArrow schema | {
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"In 0.4.0, the assertion in `concatenate_datasets ` is on the features, and not the schema.\r\nCould you try to update `nlp` ?\r\n\r\nAlso, since 0.4.0, you can use `dset_wikipedia.cast_(dset_books.features)` to avoid the schema cast hack.",
"Or maybe the assertion comes from elsewhere ?",
"I'm using the master... | 2020-08-11T00:27:46 | 2020-08-26T16:17:19 | 2020-08-26T16:17:19 | CONTRIBUTOR | null | null | null | null | Here's the code I'm trying to run:
```python
dset_wikipedia = nlp.load_dataset("wikipedia", "20200501.en", split="train", cache_dir=args.cache_dir)
dset_wikipedia.drop(columns=["title"])
dset_wikipedia.features.pop("title")
dset_books = nlp.load_dataset("bookcorpus", split="train", cache_dir=args.cache_dir)
dse... | {
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https://api.github.com/repos/huggingface/datasets/issues/491 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/491/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/491/comments | https://api.github.com/repos/huggingface/datasets/issues/491/events | https://github.com/huggingface/datasets/issues/491 | 676,486,275 | MDU6SXNzdWU2NzY0ODYyNzU= | 491 | No 0.4.0 release on GitHub | {
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"I did the release on github, and updated the doc :)\r\nSorry for the delay",
"Thanks!"
] | 2020-08-10T23:59:57 | 2020-08-11T16:50:07 | 2020-08-11T16:50:07 | CONTRIBUTOR | null | null | null | null | 0.4.0 was released on PyPi, but not on GitHub. This means [the documentation](https://huggingface.co/nlp/) is still displaying from 0.3.0, and that there's no tag to easily clone the 0.4.0 version of the repo. | {
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https://api.github.com/repos/huggingface/datasets/issues/490 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/490/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/490/comments | https://api.github.com/repos/huggingface/datasets/issues/490/events | https://github.com/huggingface/datasets/issues/490 | 676,482,242 | MDU6SXNzdWU2NzY0ODIyNDI= | 490 | Loading preprocessed Wikipedia dataset requires apache_beam | {
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`nlp.load_dataset("wikipedia", "20200501.en", split="train", dir="/tmp/wikipedia")`
gives an error if apache_beam is not installed, stemming from
https://github.com/huggingface/nlp/blob/38eb2413de54ee804b0be81781bd65ac4a748ced/src/nlp/builder.py#L981-L988
This succeeded without the dependency in ve... | {
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https://api.github.com/repos/huggingface/datasets/issues/489 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/489/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/489/comments | https://api.github.com/repos/huggingface/datasets/issues/489/events | https://github.com/huggingface/datasets/issues/489 | 676,456,257 | MDU6SXNzdWU2NzY0NTYyNTc= | 489 | ug | {
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"whoops",
"please delete this"
] | 2020-08-10T22:33:03 | 2020-08-10T22:55:14 | 2020-08-10T22:33:40 | NONE | null | null | null | null | {
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https://api.github.com/repos/huggingface/datasets/issues/488 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/488/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/488/comments | https://api.github.com/repos/huggingface/datasets/issues/488/events | https://github.com/huggingface/datasets/issues/488 | 676,299,993 | MDU6SXNzdWU2NzYyOTk5OTM= | 488 | issues with downloading datasets for wmt16 and wmt19 | {
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"I found `UNv1.0.en-ru.tar.gz` here: https://conferences.unite.un.org/uncorpus/en/downloadoverview, so it can be reconstructed with:\r\n```\r\nwget -c https://stuncorpusprod.blob.core.windows.net/corpusfiles/UNv1.0.en-ru.tar.gz.00\r\nwget -c https://stuncorpusprod.blob.core.windows.net/corpusfiles/UNv1.0.en-ru.tar.... | 2020-08-10T17:32:51 | 2022-10-04T17:46:59 | 2022-10-04T17:46:58 | CONTRIBUTOR | null | null | null | null | I have encountered multiple issues while trying to:
```
import nlp
dataset = nlp.load_dataset('wmt16', 'ru-en')
metric = nlp.load_metric('wmt16')
```
1. I had to do `pip install -e ".[dev]" ` on master, currently released nlp didn't work (sorry, didn't save the error) - I went back to the released version and no... | {
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https://api.github.com/repos/huggingface/datasets/issues/486 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/486/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/486/comments | https://api.github.com/repos/huggingface/datasets/issues/486/events | https://github.com/huggingface/datasets/issues/486 | 675,649,034 | MDU6SXNzdWU2NzU2NDkwMzQ= | 486 | Bookcorpus data contains pretokenized text | {
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"Yes indeed it looks like some `'` and spaces are missing (for example in `dont` or `didnt`).\r\nDo you know if there exist some copies without this issue ?\r\nHow would you fix this issue on the current data exactly ? I can see that the data is raw text (not tokenized) so I'm not sure I understand how you would do... | 2020-08-09T06:53:24 | 2022-10-04T17:44:33 | 2022-10-04T17:44:33 | CONTRIBUTOR | null | null | null | null | It seem that the bookcoprus data downloaded through the library was pretokenized with NLTK's Treebank tokenizer, which changes the text in incompatible ways to how, for instance, BERT's wordpiece tokenizer works. For example, "didn't" becomes "did" + "n't", and double quotes are changed to `` and '' for start and end q... | {
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https://api.github.com/repos/huggingface/datasets/issues/485 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/485/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/485/comments | https://api.github.com/repos/huggingface/datasets/issues/485/events | https://github.com/huggingface/datasets/issues/485 | 675,595,393 | MDU6SXNzdWU2NzU1OTUzOTM= | 485 | PAWS dataset first item is header | {
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import nlp
dataset = nlp.load_dataset('xtreme', 'PAWS-X.en')
dataset['test'][0]
```
prints the following
```
{'label': 'label', 'sentence1': 'sentence1', 'sentence2': 'sentence2'}
```
dataset['test'][0] should probably be the first item in the dataset, not just a dictionary mapping the column names t... | {
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https://api.github.com/repos/huggingface/datasets/issues/483 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/483/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/483/comments | https://api.github.com/repos/huggingface/datasets/issues/483/events | https://github.com/huggingface/datasets/issues/483 | 675,080,694 | MDU6SXNzdWU2NzUwODA2OTQ= | 483 | rotten tomatoes movie review dataset taken down | {
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"found a mirror: https://storage.googleapis.com/seldon-datasets/sentence_polarity_v1/rt-polaritydata.tar.gz",
"fixed in #484 ",
"Closing this one. Thanks again @jxmorris12 for taking care of this :)"
] | 2020-08-07T15:12:01 | 2020-09-08T09:36:34 | 2020-09-08T09:36:33 | CONTRIBUTOR | null | null | null | null | In an interesting twist of events, the individual who created the movie review seems to have left Cornell, and their webpage has been removed, along with the movie review dataset (http://www.cs.cornell.edu/people/pabo/movie-review-data/rt-polaritydata.tar.gz). It's not downloadable anymore. | {
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https://api.github.com/repos/huggingface/datasets/issues/482 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/482/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/482/comments | https://api.github.com/repos/huggingface/datasets/issues/482/events | https://github.com/huggingface/datasets/issues/482 | 674,851,147 | MDU6SXNzdWU2NzQ4NTExNDc= | 482 | Bugs : dataset.map() is frozen on ELI5 | {
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"This comes from an overflow in pyarrow's array.\r\nIt is stuck inside the loop that reduces the batch size to avoid the overflow.\r\nI'll take a look",
"I created a PR to fix the issue.\r\nIt was due to an overflow check that handled badly an empty list.\r\n\r\nYou can try the changes by using \r\n```\r\n!pip in... | 2020-08-07T08:23:35 | 2023-04-06T09:39:59 | 2020-08-11T23:55:15 | NONE | null | null | null | null | Hi Huggingface Team!
Thank you guys once again for this amazing repo.
I have tried to prepare ELI5 to train with T5, based on [this wonderful notebook of Suraj Patil](https://github.com/patil-suraj/exploring-T5/blob/master/T5_on_TPU.ipynb)
However, when I run `dataset.map()` on ELI5 to prepare `input_text, ta... | {
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