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https://api.github.com/repos/huggingface/datasets/issues/1746 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1746/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1746/comments | https://api.github.com/repos/huggingface/datasets/issues/1746/events | https://github.com/huggingface/datasets/pull/1746 | 788,188,184 | MDExOlB1bGxSZXF1ZXN0NTU2NzQxMjIw | 1,746 | Fix release conda worflow | {
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"From the description given in the dataset script for `wsc.fixed`:\r\n```\r\nThis version fixes issues where the spans are not actually substrings of the text.\r\n```"
] | 1,610,931,019,000 | 1,610,967,763,000 | 1,610,931,574,000 | NONE | null | Hi
I see two versions of wsc in superglue, and I am not sure what is the differences and which one is the original one. could you help to discuss the differences? thanks @lhoestq | {
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"@lhoestq I ran `make style` but CI code quality still failing and I don't have access to logs",
"It's also likely that due to the previous placement of the field initialization, much of the data about topics etc was simply wrong and carried over from previous entries. Model scores seem to improve significantly w... | 1,610,870,329,000 | 1,610,969,169,000 | 1,610,969,169,000 | CONTRIBUTOR | null | This brings the number of examples for ModApte to match the stated `Training set (9,603 docs)...Test Set (3,299 docs)` | {
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"Currently it's only possible to define the features for the two columns `references` and `predictions`.\r\nThe data for these columns can then be passed to `metric.add_batch` and `metric.compute`.\r\nInstead of defining more columns `text`, `offset_mapping` and `ground` you must include them in either references a... | 1,610,866,874,000 | 1,611,333,900,000 | null | CONTRIBUTOR | null | Hi Team,
I am trying to create a custom metric for my training as follows, where f1 is my own metric:
```python
def _info(self):
# TODO: Specifies the datasets.MetricInfo object
return datasets.MetricInfo(
# This is the description that will appear on the metrics page.
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"Maybe it would be simpler to just overwrite the order of the label classes of the `glue` dataset ?\r\n```python\r\nmnli = load_dataset(\"glue\", \"mnli\", label_classes=[\"contradiction\", \"entailment\", \"neutral\"])\r\n```",
"Sounds good. Will close the issue if that works."
] | 1,610,862,865,000 | 1,617,021,810,000 | 1,617,021,810,000 | MEMBER | null | Link to our discussion on Slack (HF internal)
https://huggingface.slack.com/archives/C014N4749J9/p1609668119337400
The next step is to add a compatible option in the new `run_glue.py`
I duplicated `glue` and made the following changes:
1. Change the name to `glue_compat`.
2. Change the label assignments for MN... | {
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pretrained_model:bert-base-uncased
error description:
when i use these resoruce to train fine_tuning a text_classification on sem_eval_2014_task_1,there always be some problem(when i use other dataset ,there exist the error too). And i followed the colab code (url:https://colab.researc... | {
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"The dataset card is fantastic!\r\n\r\nLooks good to me! Did you check that this still passes the slow tests with the existing dummy data?",
"Yes, I ran and passed all the tests specified in [this guide](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md#automatically-add-code-metadata), inclu... | 1,610,747,123,000 | 1,611,930,846,000 | 1,611,917,583,000 | CONTRIBUTOR | null | - fixes test sets loading in v3.0
- adds additional fields for v3.0_ru
- adds info to the WebNLG data card | {
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"Nice thanks :) \r\nNote that in `datasets` the tags are simply the version without the `v`. For example `1.2.1`.",
"Do you push tags only for versions?",
"Yes I've always used tags only for versions"
] | 1,610,637,085,000 | 1,610,705,300,000 | 1,610,705,299,000 | MEMBER | null | Will push a new version on anaconda cloud every time a tag starting with `v` is pushed (like `v1.2.2`).
Will appear here: https://anaconda.org/huggingface/datasets
Depends on `conda-forge` for now, so the following is required for installation:
```
conda install -c huggingface -c conda-forge datasets
``` | {
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https://api.github.com/repos/huggingface/datasets/issues/1737 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1737/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1737/comments | https://api.github.com/repos/huggingface/datasets/issues/1737/events | https://github.com/huggingface/datasets/pull/1737 | 785,606,286 | MDExOlB1bGxSZXF1ZXN0NTU0NjA2ODg5 | 1,737 | update link in TLC to be github links | {
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"Thanks for updating this!"
] | 1,610,592,561,000 | 1,610,619,924,000 | 1,610,619,924,000 | CONTRIBUTOR | null | Base on this issue https://github.com/huggingface/datasets/issues/1064, I can now use the official links.
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https://api.github.com/repos/huggingface/datasets/issues/1736 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1736/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1736/comments | https://api.github.com/repos/huggingface/datasets/issues/1736/events | https://github.com/huggingface/datasets/pull/1736 | 785,433,854 | MDExOlB1bGxSZXF1ZXN0NTU0NDYyNjYw | 1,736 | Adjust BrWaC dataset features name | {
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Looking at the current features hierarchy, we have "paragraphs" with a list of "sentences" with a list of "sentences?!". But the actual hierarchy is a "text" with a list of "paragr... | {
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https://api.github.com/repos/huggingface/datasets/issues/1735 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1735/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1735/comments | https://api.github.com/repos/huggingface/datasets/issues/1735/events | https://github.com/huggingface/datasets/pull/1735 | 785,184,740 | MDExOlB1bGxSZXF1ZXN0NTU0MjUzMDcw | 1,735 | Update add new dataset template | {
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"Add new \"dataset\"? ;)",
"Lol, too used to Transformers ;-)"
] | 1,610,550,489,000 | 1,610,637,361,000 | 1,610,637,360,000 | MEMBER | null | This PR fixes a few typos in the "Add new dataset template" and clarifies a bit what to do for the dummy data creation when the `auto_generate` flag can't work. | {
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https://api.github.com/repos/huggingface/datasets/issues/1734 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1734/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1734/comments | https://api.github.com/repos/huggingface/datasets/issues/1734/events | https://github.com/huggingface/datasets/pull/1734 | 784,956,707 | MDExOlB1bGxSZXF1ZXN0NTU0MDYxMzMz | 1,734 | Fix empty token bug for `thainer` and `lst20` | {
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https://api.github.com/repos/huggingface/datasets/issues/1733 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1733/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1733/comments | https://api.github.com/repos/huggingface/datasets/issues/1733/events | https://github.com/huggingface/datasets/issues/1733 | 784,903,002 | MDU6SXNzdWU3ODQ5MDMwMDI= | 1,733 | connection issue with glue, what is the data url for glue? | {
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"Hello @juliahane, which config of GLUE causes you trouble?\r\nThe URLs are defined in the dataset script source code: https://github.com/huggingface/datasets/blob/master/datasets/glue/glue.py"
] | 1,610,527,060,000 | 1,628,100,835,000 | 1,628,100,835,000 | NONE | null | Hi
my codes sometimes fails due to connection issue with glue, could you tell me how I can have the URL datasets library is trying to read GLUE from to test the machines I am working on if there is an issue on my side or not
thanks | {
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https://api.github.com/repos/huggingface/datasets/issues/1732 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1732/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1732/comments | https://api.github.com/repos/huggingface/datasets/issues/1732/events | https://github.com/huggingface/datasets/pull/1732 | 784,874,490 | MDExOlB1bGxSZXF1ZXN0NTUzOTkzNTAx | 1,732 | [GEM Dataset] Added TurkCorpus, an evaluation dataset for sentence simplification. | {
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"Thank you for the feedback! I updated the code. "
] | 1,610,524,219,000 | 1,610,619,581,000 | 1,610,619,581,000 | CONTRIBUTOR | null | We want to use TurkCorpus for validation and testing of the sentence simplification task. | {
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https://api.github.com/repos/huggingface/datasets/issues/1731 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1731/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1731/comments | https://api.github.com/repos/huggingface/datasets/issues/1731/events | https://github.com/huggingface/datasets/issues/1731 | 784,744,674 | MDU6SXNzdWU3ODQ3NDQ2NzQ= | 1,731 | Couldn't reach swda.py | {
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"Hi @yangp725,\r\nThe SWDA has been added very recently and has not been released yet, thus it is not available in the `1.2.0` version of 🤗`datasets`.\r\nYou can still access it by installing the latest version of the library (master branch), by following instructions in [this issue](https://github.com/huggingface... | 1,610,506,660,000 | 1,610,536,660,000 | 1,610,536,660,000 | NONE | null | ConnectionError: Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/1.2.0/datasets/swda/swda.py
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https://api.github.com/repos/huggingface/datasets/issues/1730 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1730/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1730/comments | https://api.github.com/repos/huggingface/datasets/issues/1730/events | https://github.com/huggingface/datasets/pull/1730 | 784,617,525 | MDExOlB1bGxSZXF1ZXN0NTUzNzgxMDY0 | 1,730 | Add MNIST dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/1729 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1729/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1729/comments | https://api.github.com/repos/huggingface/datasets/issues/1729/events | https://github.com/huggingface/datasets/issues/1729 | 784,565,898 | MDU6SXNzdWU3ODQ1NjU4OTg= | 1,729 | Is there support for Deep learning datasets? | {
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"Hi @ZurMaD!\r\nThanks for your interest in 🤗 `datasets`. Support for image datasets is at an early stage, with CIFAR-10 added in #1617 \r\nMNIST is also on the way: #1730 \r\n\r\nIf you feel like adding another image dataset, I would advise starting by reading the [ADD_NEW_DATASET.md](https://github.com/huggingfa... | 1,610,482,961,000 | 1,617,164,647,000 | 1,617,164,647,000 | NONE | null | I looked around this repository and looking the datasets I think that there's no support for images-datasets. Or am I missing something? For example to add a repo like this https://github.com/DZPeru/fish-datasets | {
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https://api.github.com/repos/huggingface/datasets/issues/1728 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1728/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1728/comments | https://api.github.com/repos/huggingface/datasets/issues/1728/events | https://github.com/huggingface/datasets/issues/1728 | 784,458,342 | MDU6SXNzdWU3ODQ0NTgzNDI= | 1,728 | Add an entry to an arrow dataset | {
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"Hi @ameet-1997,\r\nI think what you are looking for is the `concatenate_datasets` function: https://huggingface.co/docs/datasets/processing.html?highlight=concatenate#concatenate-several-datasets\r\n\r\nFor your use case, I would use the [`map` method](https://huggingface.co/docs/datasets/processing.html?highlight... | 1,610,474,507,000 | 1,610,997,332,000 | 1,610,997,332,000 | NONE | null | Is it possible to add an entry to a dataset object?
**Motivation: I want to transform the sentences in the dataset and add them to the original dataset**
For example, say we have the following code:
``` python
from datasets import load_dataset
# Load a dataset and print the first examples in the training s... | {
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https://api.github.com/repos/huggingface/datasets/issues/1727 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1727/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1727/comments | https://api.github.com/repos/huggingface/datasets/issues/1727/events | https://github.com/huggingface/datasets/issues/1727 | 784,435,131 | MDU6SXNzdWU3ODQ0MzUxMzE= | 1,727 | BLEURT score calculation raises UnrecognizedFlagError | {
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"Upgrading tensorflow to version 2.4.0 solved the issue.",
"I still have the same error even with TF 2.4.0.",
"And I have the same error with TF 2.4.1. I believe this issue should be reopened. Any ideas?!",
"I'm seeing the same issue with TF 2.4.1 when running the following in https://colab.research.google.co... | 1,610,472,422,000 | 1,618,266,101,000 | null | NONE | null | Calling the `compute` method for **bleurt** metric fails with an `UnrecognizedFlagError` for `FLAGS.bleurt_batch_size`.
My environment:
```
python==3.8.5
datasets==1.2.0
tensorflow==2.3.1
cudatoolkit==11.0.221
```
Test code for reproducing the error:
```
from datasets import load_metric
bleurt = load_me... | {
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https://api.github.com/repos/huggingface/datasets/issues/1726 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1726/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1726/comments | https://api.github.com/repos/huggingface/datasets/issues/1726/events | https://github.com/huggingface/datasets/pull/1726 | 784,336,370 | MDExOlB1bGxSZXF1ZXN0NTUzNTQ0ODg4 | 1,726 | Offline loading | {
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"It's maybe a bit annoying to add but could we maybe have as well a version of the local data loading scripts in the package?\r\nThe `text`, `json`, `csv`. Thinking about people like in #1725 who are expecting to be able to work with local data without downloading anything.\r\n\r\nMaybe we can add them to package_d... | 1,610,464,917,000 | 1,644,921,130,000 | 1,611,074,552,000 | MEMBER | null | As discussed in #824 it would be cool to make the library work in offline mode.
Currently if there's not internet connection then modules (datasets or metrics) that have already been loaded in the past can't be loaded and it raises a ConnectionError.
This is because `prepare_module` fetches online for the latest vers... | {
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https://api.github.com/repos/huggingface/datasets/issues/1725 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1725/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1725/comments | https://api.github.com/repos/huggingface/datasets/issues/1725/events | https://github.com/huggingface/datasets/issues/1725 | 784,182,273 | MDU6SXNzdWU3ODQxODIyNzM= | 1,725 | load the local dataset | {
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"You should rephrase your question or give more examples and details on what you want to do.\r\n\r\nit’s not possible to understand it and help you with only this information.",
"sorry for that.\r\ni want to know how could i load the train set and the test set from the local ,which api or function should i use .\... | 1,610,453,575,000 | 1,614,768,943,000 | null | NONE | null | your guidebook's example is like
>>>from datasets import load_dataset
>>> dataset = load_dataset('json', data_files='my_file.json')
but the first arg is path...
so how should i do if i want to load the local dataset for model training?
i will be grateful if you can help me handle this problem!
thanks a lot! | {
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https://api.github.com/repos/huggingface/datasets/issues/1723 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1723/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1723/comments | https://api.github.com/repos/huggingface/datasets/issues/1723/events | https://github.com/huggingface/datasets/pull/1723 | 783,982,100 | MDExOlB1bGxSZXF1ZXN0NTUzMjQ4MzU1 | 1,723 | ADD S3 support for downloading and uploading processed datasets | {
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"I created the documentation for `FileSystem Integration for cloud storage` with loading and saving datasets to/from a filesystem with an example of using `datasets.filesystem.S3Filesystem`. I added a note on the `Saving a processed dataset on disk and reload` saying that it is also possible to use other filesystem... | 1,610,435,854,000 | 1,611,680,528,000 | 1,611,680,528,000 | MEMBER | null | # What does this PR do?
This PR adds the functionality to load and save `datasets` from and to s3.
You can save `datasets` with either `Dataset.save_to_disk()` or `DatasetDict.save_to_disk`.
You can load `datasets` with either `load_from_disk` or `Dataset.load_from_disk()`, `DatasetDict.load_from_disk()`.
Lo... | {
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https://api.github.com/repos/huggingface/datasets/issues/1724 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1724/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1724/comments | https://api.github.com/repos/huggingface/datasets/issues/1724/events | https://github.com/huggingface/datasets/issues/1724 | 784,023,338 | MDU6SXNzdWU3ODQwMjMzMzg= | 1,724 | could not run models on a offline server successfully | {
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"Transferred to `datasets` based on the stack trace.",
"Hi @lkcao !\r\nYour issue is indeed related to `datasets`. In addition to installing the package manually, you will need to download the `text.py` script on your server. You'll find it (under `datasets/datasets/text`: https://github.com/huggingface/datasets/... | 1,610,431,686,000 | 1,614,785,549,000 | null | NONE | null | Hi, I really need your help about this.
I am trying to fine-tuning a RoBERTa on a remote server, which is strictly banning internet. I try to install all the packages by hand and try to run run_mlm.py on the server. It works well on colab, but when I try to run it on this offline server, it shows:
![image](https://us... | {
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https://api.github.com/repos/huggingface/datasets/issues/1722 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1722/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1722/comments | https://api.github.com/repos/huggingface/datasets/issues/1722/events | https://github.com/huggingface/datasets/pull/1722 | 783,921,679 | MDExOlB1bGxSZXF1ZXN0NTUzMTk3MTg4 | 1,722 | Added unfiltered versions of the Wiki-Auto training data for the GEM simplification task. | {
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"The current version of Wiki-Auto dataset contains a filtered version of the aligned dataset. The commit adds unfiltered versions of the data that can be useful the GEM task participants."
] | 1,610,429,164,000 | 1,610,475,293,000 | 1,610,472,957,000 | CONTRIBUTOR | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1721 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1721/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1721/comments | https://api.github.com/repos/huggingface/datasets/issues/1721/events | https://github.com/huggingface/datasets/pull/1721 | 783,828,428 | MDExOlB1bGxSZXF1ZXN0NTUzMTIyODQ5 | 1,721 | [Scientific papers] Mirror datasets zip | {
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"> Nice !\r\n> \r\n> Could you try to reduce the size of the dummy_data.zip files ? they're quite big (300KB)\r\n\r\nYes, I think it might make sense to enhance the tool a tiny bit to prevent this automatically",
"That's the lightest I can make it...it's long-range summarization so a single sample has ~11000 toke... | 1,610,414,140,000 | 1,610,452,155,000 | 1,610,451,707,000 | MEMBER | null | Datasets were uploading to https://s3.amazonaws.com/datasets.huggingface.co/scientific_papers/1.1.1/arxiv-dataset.zip and https://s3.amazonaws.com/datasets.huggingface.co/scientific_papers/1.1.1/pubmed-dataset.zip respectively to escape google drive quota and enable faster download. | {
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https://api.github.com/repos/huggingface/datasets/issues/1720 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1720/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1720/comments | https://api.github.com/repos/huggingface/datasets/issues/1720/events | https://github.com/huggingface/datasets/pull/1720 | 783,721,833 | MDExOlB1bGxSZXF1ZXN0NTUzMDM0MzYx | 1,720 | Adding the NorNE dataset for NER | {
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"Quick question, @lhoestq. In this specific dataset, two special types `GPE_LOC` and `GPE_ORG` can easily be altered depending on the task, choosing either the more general `GPE` tag or the more specific `LOC`/`ORG` tags, conflating them with the other annotations of the same type. However, I have not found an easy... | 1,610,400,853,000 | 1,617,200,629,000 | 1,617,199,997,000 | CONTRIBUTOR | null | NorNE is a manually annotated corpus of named entities which extends the annotation of the existing Norwegian Dependency Treebank. Comprising both of the official standards of written Norwegian (Bokmål and Nynorsk), the corpus contains around 600,000 tokens and annotates a rich set of entity types including persons, or... | {
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https://api.github.com/repos/huggingface/datasets/issues/1719 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1719/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1719/comments | https://api.github.com/repos/huggingface/datasets/issues/1719/events | https://github.com/huggingface/datasets/pull/1719 | 783,557,542 | MDExOlB1bGxSZXF1ZXN0NTUyODk3MzY4 | 1,719 | Fix column list comparison in transmit format | {
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This is because of an issue in `transmit_format` where the column list comparison fails because the order was not deterministic. This causes the `transmit_format` to apply an unnecessary `set_format` transform with shuffled col... | {
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"Thanks for reporting !\r\nI was able to reproduce thanks to your code and find the origin of the bug.\r\nThe cache was not reusing the same file because one object was not deterministic. It comes from a conversion from `set` to `list` in the `datasets.arrrow_dataset.transmit_format` function, where the resulting l... | 1,610,379,451,000 | 1,619,591,723,000 | 1,611,629,279,000 | NONE | null | Hi,
I am using the datasets package and even though I run the same data processing functions, datasets always recomputes the function instead of using cache.
I have attached an example script that for me reproduces the problem.
In the attached example the second map function always recomputes instead of loading fr... | {
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"Hi Dave,\r\nYou are more than welcome to open a PR to make these changes! 🤗\r\nYou will find the relevant information about opening a PR in the [contributing guide](https://github.com/huggingface/datasets/blob/master/CONTRIBUTING.md) and in the [dataset addition guide](https://github.com/huggingface/datasets/blob... | 1,610,342,800,000 | 1,611,629,537,000 | 1,611,629,537,000 | CONTRIBUTOR | null | Hi,
SciFact dataset creator here. First of all, thanks for adding the dataset to Huggingface, much appreciated!
I'd like to make a few minor changes, including the citation information and the `_URL` from which to download the dataset. Can I submit a PR for this?
It also looks like the dataset is being downloa... | {
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"Oh that's a really cool one, we'll review/merge it soon!\r\n\r\nIn the meantime, do you have any specific positive/negative feedback on the process of adding a datasets Max?\r\nDid you follow the instruction in the [detailed step-by-step](https://github.com/huggingface/datasets/blob/master/ADD_NEW_DATASET.md)?",
... | 1,610,142,369,000 | 1,610,553,924,000 | 1,610,553,924,000 | CONTRIBUTOR | null | Adding the adversarialQA dataset (https://adversarialqa.github.io/) from Beat the AI (https://arxiv.org/abs/2002.00293) | {
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"Yes indeed the idea is to have the next release on conda cc @LysandreJik ",
"Great! Did you guys have a timeframe in mind for the next release?\r\n\r\nThank you for all the great work in developing this library.",
"I think we can have `datasets` on conda by next week. Will see what I can do!",
"Thank you. Lo... | 1,610,133,135,000 | 1,631,882,860,000 | 1,631,882,860,000 | NONE | null | Will a conda package for installing datasets be added to the huggingface conda channel? I have installed transformers using conda and would like to use the datasets library to use some of the scripts in the transformers/examples folder but am unable to do so at the moment as datasets can only be installed using pip and... | {
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"When should we expect to see our dataset appear in the search dropdown at huggingface.co?",
"Hi @eusip,\r\n\r\n> When should we expect to see our dataset appear in the search dropdown at huggingface.co?\r\n\r\nwhen this PR is merged.",
"Thanks!",
"I've implemented all the changes requested by @lhoestq but I ... | 1,610,130,258,000 | 1,611,238,357,000 | 1,611,225,071,000 | CONTRIBUTOR | null | My collaborators and I within the Affective Computing team at Telecom Paris would like to push our spoken dialogue dataset for publication. | {
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I fixed this and added tests | {
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"I haven't tested C4 on my side so there so there may be a few bugs in the code/adjustments to make.\r\nHere it looks like in c4.py, line 190 one of the `files_to_download` is `'/'` which is invalid.\r\nValid files are paths to local files or URLs to remote files."
] | 1,610,091,090,000 | 1,610,531,053,000 | null | NONE | null | **TLDR**:
I fail to download C4 and see a stacktrace originating in `IsADirectoryError` as an explanation for failure.
How can the problem be fixed?
**VERBOSE**:
I use Python version 3.7 and have the following dependencies listed in my project:
```
datasets==1.2.0
apache-beam==2.26.0
```
When runn... | {
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- **Name:** *name of the dataset*
- **Description:** *short description of the dataset (or link to social media or blog post)*
- **Paper:** *link to the dataset paper if available*
- **Data:** *link to the Github repository or current dataset location*
- **Motivation:** *what are some good reasons t... | {
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- **Name:** *name of the dataset*
- **Description:** *short description of the dataset (or link to social media or blog post)*
- **Paper:** *link to the dataset paper if available*
- **Data:** *link to the Github repository or current dataset location*
- **Motivation:** *what are some good reasons t... | {
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https://api.github.com/repos/huggingface/datasets/issues/1707 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1707/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1707/comments | https://api.github.com/repos/huggingface/datasets/issues/1707/events | https://github.com/huggingface/datasets/pull/1707 | 781,507,545 | MDExOlB1bGxSZXF1ZXN0NTUxMjE5MDk2 | 1,707 | Added generated READMEs for datasets that were missing one. | {
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"Looks like we need to trim the ones with too many configs, will look into it tomorrow!"
] | 1,610,043,006,000 | 1,610,980,353,000 | 1,610,980,353,000 | CONTRIBUTOR | null | This is it: we worked on a generator with Yacine @yjernite , and we generated dataset cards for all missing ones (161), with all the information we could gather from datasets repository, and using dummy_data to generate examples when possible.
Code is available here for the moment: https://github.com/madlag/datasets... | {
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https://api.github.com/repos/huggingface/datasets/issues/1706 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1706/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1706/comments | https://api.github.com/repos/huggingface/datasets/issues/1706/events | https://github.com/huggingface/datasets/issues/1706 | 781,494,476 | MDU6SXNzdWU3ODE0OTQ0NzY= | 1,706 | Error when downloading a large dataset on slow connection. | {
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"Hi ! Is this an issue you have with `openwebtext` specifically or also with other datasets ?\r\n\r\nIt looks like the downloaded file is corrupted and can't be extracted using `tarfile`.\r\nCould you try loading it again with \r\n```python\r\nimport datasets\r\ndatasets.load_dataset(\"openwebtext\", download_mode=... | 1,610,041,695,000 | 1,610,534,102,000 | null | CONTRIBUTOR | null | I receive the following error after about an hour trying to download the `openwebtext` dataset.
The code used is:
```python
import datasets
datasets.load_dataset("openwebtext")
```
> Traceback (most recent call last): ... | {
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https://api.github.com/repos/huggingface/datasets/issues/1705 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1705/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1705/comments | https://api.github.com/repos/huggingface/datasets/issues/1705/events | https://github.com/huggingface/datasets/pull/1705 | 781,474,949 | MDExOlB1bGxSZXF1ZXN0NTUxMTkyMTc4 | 1,705 | Add information about caching and verifications in "Load a Dataset" docs | {
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Missing improvements from @lhoestq's #1703. | {
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https://api.github.com/repos/huggingface/datasets/issues/1704 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1704/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1704/comments | https://api.github.com/repos/huggingface/datasets/issues/1704/events | https://github.com/huggingface/datasets/pull/1704 | 781,402,757 | MDExOlB1bGxSZXF1ZXN0NTUxMTMyNDI1 | 1,704 | Update XSUM Factuality DatasetCard | {
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https://api.github.com/repos/huggingface/datasets/issues/1703 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1703/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1703/comments | https://api.github.com/repos/huggingface/datasets/issues/1703/events | https://github.com/huggingface/datasets/pull/1703 | 781,395,146 | MDExOlB1bGxSZXF1ZXN0NTUxMTI2MjA5 | 1,703 | Improvements regarding caching and fingerprinting | {
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"I few comments here for discussion:\r\n- I'm not convinced yet the end user should really have to understand the difference between \"caching\" and 'fingerprinting\", what do you think? I think fingerprinting should probably stay as an internal thing. Is there a case where we want cahing without fingerprinting or ... | 1,610,033,189,000 | 1,611,077,531,000 | 1,611,077,530,000 | MEMBER | null | This PR adds these features:
- Enable/disable caching
If disabled, the library will no longer reload cached datasets files when applying transforms to the datasets.
It is equivalent to setting `load_from_cache` to `False` in dataset transforms.
```python
from datasets import set_caching_enabled
set_cach... | {
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https://api.github.com/repos/huggingface/datasets/issues/1702 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1702/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1702/comments | https://api.github.com/repos/huggingface/datasets/issues/1702/events | https://github.com/huggingface/datasets/pull/1702 | 781,383,277 | MDExOlB1bGxSZXF1ZXN0NTUxMTE2NDc0 | 1,702 | Fix importlib metdata import in py38 | {
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"Thanks for reporting.\r\nWe should indeed add all the missing dummy_data.zip and also the dataset_infos.json at least for lm1b, reclor and wikihow.\r\n\r\nFor c4 I haven't tested the script and I think we'll require some optimizations regarding beam datasets before processing it.\r\n"
] | 1,610,029,033,000 | 1,610,458,846,000 | null | CONTRIBUTOR | null | While working on dataset REAME generation script at https://github.com/madlag/datasets_readme_generator , I noticed that some datasets miss a dataset_infos.json :
```
c4
lm1b
reclor
wikihow
```
And some does not have a dummy_data.zip :
```
kor_nli
math_dataset
mlqa
ms_marco
newsgroup
qa4mre
qanga... | {
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There are some entries in the data fields section yet to be filled. There is little information regarding those fields. | {
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https://api.github.com/repos/huggingface/datasets/issues/1699 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1699/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1699/comments | https://api.github.com/repos/huggingface/datasets/issues/1699/events | https://github.com/huggingface/datasets/pull/1699 | 781,271,558 | MDExOlB1bGxSZXF1ZXN0NTUxMDIzODE5 | 1,699 | Update DBRD dataset card and download URL | {
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"not sure why the CI was not triggered though"
] | 1,610,021,803,000 | 1,610,026,899,000 | 1,610,026,859,000 | CONTRIBUTOR | null | I've added the Dutch Bood Review Dataset (DBRD) during the recent sprint. This pull request makes two minor changes:
1. I'm changing the download URL from Google Drive to the dataset's GitHub release package. This is now possible because of PR #1316.
2. I've updated the dataset card.
Cheers! 😄 | {
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"Really cool!\r\n\r\nCan you add some task tags for `dialogue-modeling` (under `sequence-modeling`) and `parsing` (under `structured-prediction`)?"
] | 1,610,010,436,000 | 1,610,125,473,000 | 1,610,125,472,000 | CONTRIBUTOR | null | Update Coached Conversation Preferance DatasetCard | {
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https://api.github.com/repos/huggingface/datasets/issues/1697 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1697/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1697/comments | https://api.github.com/repos/huggingface/datasets/issues/1697/events | https://github.com/huggingface/datasets/pull/1697 | 781,126,579 | MDExOlB1bGxSZXF1ZXN0NTUwOTAzNzI5 | 1,697 | Update DialogRE DatasetCard | {
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"Same as #1698, can you add a task tag for dialogue-modeling (under sequence-modeling) :) ?"
] | 1,610,007,753,000 | 1,610,026,468,000 | 1,610,026,468,000 | CONTRIBUTOR | null | Update the information in the dataset card for the Dialog RE dataset. | {
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"Maybe try to create a virtual env with python 3.8 or 3.7",
"Thanks, @thomwolf! I fixed the issue by downgrading python to 3.7. ",
"Damn sorry",
"Damn sorry"
] | 1,610,004,277,000 | 1,610,065,985,000 | 1,610,057,165,000 | NONE | null | ** Edit **
I believe there's a bug with the package when you're installing it with Python 3.9. I recommend sticking with previous versions. Thanks, @thomwolf for the insight!
**Short description**
I followed the instructions for installing datasets (https://huggingface.co/docs/datasets/installation.html). Howev... | {
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"> Thanks :)\r\n> \r\n> Apparently the dummy_data.zip got removed. Is this expected ?\r\n> Also can you remove the `data-pos.conll` file that you added ?\r\n\r\nNot expected. I forgot to remove the `dummy_data` folder used to create `dummy_data.zip`. \r\nChanged to only `dummy_data.zip`."
] | 1,609,985,553,000 | 1,610,030,625,000 | 1,610,030,608,000 | CONTRIBUTOR | null | fix bug that results in `ner_tag` always equal to 'O'. | {
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https://api.github.com/repos/huggingface/datasets/issues/1694 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1694/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1694/comments | https://api.github.com/repos/huggingface/datasets/issues/1694/events | https://github.com/huggingface/datasets/pull/1694 | 780,429,080 | MDExOlB1bGxSZXF1ZXN0NTUwMzI0Mjcx | 1,694 | Add OSCAR | {
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"Hi @lhoestq, on the OSCAR dataset, the document boundaries are defined by an empty line. Are there any chances to keep this empty line or explicitly group the sentences of a document? I'm asking for this 'cause I need to know if some sentences belong to the same document on my current OSCAR dataset usage.",
"Ind... | 1,609,928,468,000 | 1,611,565,833,000 | 1,611,565,832,000 | MEMBER | null | Continuation of #348
The files have been moved to S3 and only the unshuffled version is available.
Both original and deduplicated versions of each language are available.
Example of usage:
```python
from datasets import load_dataset
oscar_dedup_en = load_dataset("oscar", "unshuffled_deduplicated_en", split="... | {
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To make a fast start up for `datasets` I changed that so that they are not imported when `datasets` is ... | {
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- Ade_corpos_v2_classificaion -> Ade_corpus_v2_classification
- Ade_corpos_v2_drug_ade_relation -> Ade_corpus_v2_drug_ade_relation
- Ade_corpos_v2_drug_dosage_relation -> Ade_corpus_v2_drug_dosage_relation | {
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https://api.github.com/repos/huggingface/datasets/issues/1688 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1688/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1688/comments | https://api.github.com/repos/huggingface/datasets/issues/1688/events | https://github.com/huggingface/datasets/pull/1688 | 779,029,685 | MDExOlB1bGxSZXF1ZXN0NTQ5MDM5ODg0 | 1,688 | Fix DaNE last example | {
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Fix #1686 | {
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https://api.github.com/repos/huggingface/datasets/issues/1687 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1687/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1687/comments | https://api.github.com/repos/huggingface/datasets/issues/1687/events | https://github.com/huggingface/datasets/issues/1687 | 779,004,894 | MDU6SXNzdWU3NzkwMDQ4OTQ= | 1,687 | Question: Shouldn't .info be a part of DatasetDict? | {
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"We could do something. There is a part of `.info` which is split specific (cache files, split instructions) but maybe if could be made to work.",
"Yes this was kinda the idea I was going for. DatasetDict.info would be the shared info amongs the datasets (maybe even some info on how they differ). "
] | 1,609,852,121,000 | 1,610,014,686,000 | null | CONTRIBUTOR | null | Currently, only `Dataset` contains the .info or .features, but as many datasets contains standard splits (train, test) and thus the underlying information is the same (or at least should be) across the datasets.
For instance:
```
>>> ds = datasets.load_dataset("conll2002", "es")
>>> ds.info
Traceback (most rece... | {
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https://api.github.com/repos/huggingface/datasets/issues/1686 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1686/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1686/comments | https://api.github.com/repos/huggingface/datasets/issues/1686/events | https://github.com/huggingface/datasets/issues/1686 | 778,921,684 | MDU6SXNzdWU3Nzg5MjE2ODQ= | 1,686 | Dataset Error: DaNE contains empty samples at the end | {
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"Thanks for reporting, I opened a PR to fix that",
"One the PR is merged the fix will be available in the next release of `datasets`.\r\n\r\nIf you don't want to wait the next release you can still load the script from the master branch with\r\n\r\n```python\r\nload_dataset(\"dane\", script_version=\"master\")\r\... | 1,609,847,666,000 | 1,609,855,269,000 | 1,609,855,213,000 | CONTRIBUTOR | null | The dataset DaNE, contains empty samples at the end. It is naturally easy to remove using a filter but should probably not be there, to begin with as it can cause errors.
```python
>>> import datasets
[...]
>>> dataset = datasets.load_dataset("dane")
[...]
>>> dataset["test"][-1]
{'dep_ids': [], 'dep_labels': ... | {
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https://api.github.com/repos/huggingface/datasets/issues/1685 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1685/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1685/comments | https://api.github.com/repos/huggingface/datasets/issues/1685/events | https://github.com/huggingface/datasets/pull/1685 | 778,914,431 | MDExOlB1bGxSZXF1ZXN0NTQ4OTM1MzY2 | 1,685 | Update README.md of covid-tweets-japanese | {
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"Thanks for reviewing and merging!"
] | 1,609,847,247,000 | 1,609,928,832,000 | 1,609,925,470,000 | CONTRIBUTOR | null | Update README.md of covid-tweets-japanese added by PR https://github.com/huggingface/datasets/pull/1367 and https://github.com/huggingface/datasets/pull/1402.
- Update "Data Splits" to be more precise that no information is provided for now.
- old: [More Information Needed]
- new: No information about data spl... | {
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https://api.github.com/repos/huggingface/datasets/issues/1684 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1684/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1684/comments | https://api.github.com/repos/huggingface/datasets/issues/1684/events | https://github.com/huggingface/datasets/pull/1684 | 778,356,196 | MDExOlB1bGxSZXF1ZXN0NTQ4NDU3NDY1 | 1,684 | Add CANER Corpus | {
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Adds the following dataset:
https://github.com/RamziSalah/Classical-Arabic-Named-Entity-Recognition-Corpus
Who can review?
@lhoestq | {
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https://api.github.com/repos/huggingface/datasets/issues/1683 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1683/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1683/comments | https://api.github.com/repos/huggingface/datasets/issues/1683/events | https://github.com/huggingface/datasets/issues/1683 | 778,287,612 | MDU6SXNzdWU3NzgyODc2MTI= | 1,683 | `ArrowInvalid` occurs while running `Dataset.map()` function for DPRContext | {
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"Looks like the mapping function returns a dictionary with a 768-dim array in the `embeddings` field. Since the map is batched, we actually expect the `embeddings` field to be an array of shape (batch_size, 768) to have one embedding per example in the batch.\r\n\r\nTo fix that can you try to remove one of the `[0]... | 1,609,786,073,000 | 1,609,787,085,000 | 1,609,787,085,000 | CONTRIBUTOR | null | It seems to fail the final batch ):
steps to reproduce:
```
from datasets import load_dataset
from elasticsearch import Elasticsearch
import torch
from transformers import file_utils, set_seed
from transformers import DPRContextEncoder, DPRContextEncoderTokenizerFast
MAX_SEQ_LENGTH = 256
ctx_encoder = DPRCon... | {
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https://api.github.com/repos/huggingface/datasets/issues/1682 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1682/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1682/comments | https://api.github.com/repos/huggingface/datasets/issues/1682/events | https://github.com/huggingface/datasets/pull/1682 | 778,268,156 | MDExOlB1bGxSZXF1ZXN0NTQ4Mzg1NTk1 | 1,682 | Don't use xlrd for xlsx files | {
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Therefore we needed to use something else.
A good alternative is `openpyxl` which has also an integration with pandas si we can still call `pd.read_excel`.
I left the unused import of `openpyxl` in the dataset scripts to show users that ... | {
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"Hi @KennethEnevoldsen ,\r\nI think the issue might be that this dataset was added during the community sprint and has not been released yet. It will be available with the v2 of datasets.\r\nFor now, you should be able to load the datasets after installing the latest (master) version of datasets using pip:\r\npip i... | 1,609,682,583,000 | 1,609,835,735,000 | 1,609,835,713,000 | CONTRIBUTOR | null | the `dane` dataset appear to be missing in the latest version (1.1.3).
```python
>>> import datasets
>>> datasets.__version__
'1.1.3'
>>> "dane" in datasets.list_datasets()
True
```
As we can see it should be present, but doesn't seem to be findable when using `load_dataset`.
```python
>>> datasets.load... | {
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"@lhoestq, can you please review this PR?",
"Thanks for the suggestions. Updates were made and dataset_infos.json file was created again."
] | 1,609,674,779,000 | 1,609,784,135,000 | 1,609,784,135,000 | CONTRIBUTOR | null | This PR added **Turkish Product Reviews Dataset contains 235.165 product reviews collected online. There are 220.284 positive, 14881 negative reviews**.
- **Repository:** [turkish-text-data](https://github.com/fthbrmnby/turkish-text-data)
- **Point of Contact:** Fatih Barmanbay - @fthbrmnby | {
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"cc100 was added recently, that's why it wasn't available yet.\r\n\r\nTo load it you can just update `datasets`\r\n```\r\npip install --upgrade datasets\r\n```\r\n\r\nand then you can load `cc100` with\r\n\r\n```python\r\nfrom datasets import load_dataset\r\n\r\nlang = \"en\"\r\ndataset = load_dataset(\"cc100\", la... | 1,609,657,976,000 | 1,609,785,698,000 | null | NONE | null | There is some issue to import cc100 dataset.
```
from datasets import load_dataset
dataset = load_dataset("cc100")
```
FileNotFoundError: Couldn't find file at https://raw.githubusercontent.com/huggingface/datasets/1.1.3/datasets/cc100/cc100.py
During handling of the above exception, another exception occur... | {
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"@lhoestq Thank you for your detailed comments! I fixed everything you suggested.\r\n\r\nPlease let me know if I'm missing anything else.",
"It looks like the Transcript and Utterance objects are missing, maybe we can mention it in the README ? Or just add them ? @gmihaila @bhavitvyamalik ",
"Hi @lhoestq,\r\nI'... | 1,609,646,021,000 | 1,610,129,361,000 | 1,609,841,195,000 | CONTRIBUTOR | null | Switchboard Dialog Act Corpus
Intro:
The Switchboard Dialog Act Corpus (SwDA) extends the Switchboard-1 Telephone Speech Corpus, Release 2,
with turn/utterance-level dialog-act tags. The tags summarize syntactic, semantic, and pragmatic information
about the associated turn. The SwDA project was undertaken at UC ... | {
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"Need to fix code formatting."
] | 1,609,636,602,000 | 1,609,642,557,000 | 1,609,642,556,000 | CONTRIBUTOR | null | Pleased to announced that I added my first dataset **Switchboard Dialog Act Corpus**.
I think this is an important datasets to be added since it is the only one related to dialogue act classification.
Hope the pull request is ok. Wasn't able to see any special formatting for the pull request form.
The Swi... | {
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"> Nice thank you ! Actually as it is a translation dataset we should probably have one configuration = one language pair no ?\r\n> \r\n> Could you use the same trick for this dataset ?\r\n\r\nI was looking for this input, infact I had written a long post on the Slack channel,...(_but unfortunately due to the holid... | 1,609,601,403,000 | 1,610,619,019,000 | 1,610,619,019,000 | CONTRIBUTOR | null | In the previous iteration #1608 I had used language pairs. Which created 21,582 configs (109*108) !!!
Now, TED talks in _each language_ is a separate config. So it's more cleaner with _just 109 configs_ (one for each language). Dummy files were created manually.
Locally I was able to clear the `python dataset... | {
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"The pile dataset would be very nice.\r\nBenchmarks show that pile trained models achieve better results than most of actually trained models",
"The pile can very easily be added and adapted using this [tfds implementation](https://github.com/EleutherAI/The-Pile/blob/master/the_pile/tfds_pile.py) from the repo. \... | 1,609,541,892,000 | 1,638,372,547,000 | 1,638,372,547,000 | MEMBER | null | ## Adding a Dataset
- **Name:** The Pile
- **Description:** The Pile is a 825 GiB diverse, open source language modelling data set that consists of 22 smaller, high-quality datasets combined together. See [here](https://twitter.com/nabla_theta/status/1345130408170541056?s=20) for the Twitter announcement
- **Paper:*... | {
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"exactly the same issue in some other datasets.\r\nDid you find any solution??\r\n",
"Hi @koenvandenberge and @alighofrani95!\r\nThe datasets you're experiencing issues with were most likely added recently to the `datasets` library, meaning they have not been released yet. They will be released with the v2 of the... | 1,609,522,628,000 | 1,609,841,821,000 | null | NONE | null | Hi all,
I'm trying to import the `dutch_social` dataset described [here](https://huggingface.co/datasets/dutch_social).
However, the code that should load the data doesn't seem to be working, in particular because the corresponding files can't be found at the provided links.
```
(base) Koens-MacBook-Pro:~ koe... | {
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"Currently this dataset is only available when the library is installed from source since it was added after the last release.\r\n\r\nWe pin the dataset version with the library version so that people can have a reproducible dataset and processing when pinning the library.\r\n\r\nWe'll see if we can provide access ... | 1,609,498,373,000 | 1,609,842,132,000 | 1,609,842,132,000 | NONE | null | I used the Dataset Library in Python to load the wikipedia dataset with the Hindi Config 20200501.hi along with something called beam_runner='DirectRunner' and it keeps giving me the error that the file is not found. I have attached the screenshot of the error and the code both. Please help me to understand how to reso... | {
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"Can you try to upgrade to a more recent version of datasets?",
"Thank, upgrading to 1.1.3 resolved the issue.",
"Having the same issue with `datasets 1.1.3` of `1.5.0` (both tracebacks look the same) and `kilt_wikipedia`, Ubuntu 20.04\r\n\r\n```py\r\nIn [1]: from datasets import load_dataset ... | 1,609,496,707,000 | 1,617,207,853,000 | 1,609,501,656,000 | NONE | null | I am trying to load the squad dataset. Fails on Windows 10 but succeeds in Colab.
Transformers: 3.3.1
Datasets: 1.0.2
Windows 10 (also tested in WSL)
```
datasets.logging.set_verbosity_debug()
datasets.
train_dataset = load_dataset('squad', split='train')
valid_dataset = load_dataset('squad', split='validat... | {
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"Also, mayjor issue for me is the format issue, even if I go through changing the whole code to use load_from_disk, then if I do \r\n\r\nd = datasets.load_from_disk(\"imdb\")\r\nd = d[\"train\"][:10] => the format of this is no more in datasets format\r\nthis is different from you call load_datasets(\"train[10]\")\... | 1,609,365,380,000 | 1,609,754,391,000 | null | NONE | null | Hi
I am getting this connection issue, resulting in large failure on cloud, @lhoestq I appreciate your help on this.
If I want to keep the codes the same, so not using save_to_disk, load_from_disk, but save the datastes in the way load_dataset reads from and copy the files in the same folder the datasets library r... | {
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"Hi ! And thanks for the tips :) \r\n\r\nIndeed currently `wiki_dpr` takes some time to be processed.\r\nMultiprocessing for dataset generation is definitely going to speed up things.\r\n\r\nRegarding the index note that for the default configurations, the index is downloaded instead of being built, which avoid spe... | 1,609,357,303,000 | 1,611,826,896,000 | null | NONE | null | I've been working with wiki_dpr and noticed that the dataset processing is seriously impaired in performance [1]. It takes about 12h to process the entire dataset. Most of this time is simply loading and processing the data, but the actual indexing is also quite slow (3h).
I won't repeat the concerns around multipro... | {
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"Sorry, double posted."
] | 1,609,357,269,000 | 1,609,357,345,000 | 1,609,357,345,000 | NONE | null | I've been working with wiki_dpr and noticed that the dataset processing is seriously impaired in performance [1]. It takes about 12h to process the entire dataset. Most of this time is simply loading and processing the data, but the actual indexing is also quite slow (3h).
I won't repeat the concerns around multipro... | {
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```
---------------------------------------------------------------------------
ImportError Traceback (most recent call last)
<ipython-input-37-ee559b166e25> in <module>()
----> 1 ner_metric = load_metric('seqeval')
... | {
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"Seems ok for me, what do you think @lhoestq ?"
] | 1,609,251,337,000 | 1,610,962,043,000 | 1,610,962,043,000 | CONTRIBUTOR | null | - Update saving and loading methods for faiss index so to accept path like objects from pathlib
The current code only supports using a string type to save and load a faiss index. This change makes it possible to use a string type OR a Path from [pathlib](https://docs.python.org/3/library/pathlib.html). The codes bec... | {
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"Hi !\r\nThe arrow file size is due to the embeddings. Indeed if they're stored as float32 then the total size of the embeddings is\r\n\r\n20 000 000 vectors * 768 dimensions * 4 bytes per dimension ~= 60GB\r\n\r\nIf you want to reduce the size you can consider using quantization for example, or maybe using dimensi... | 1,609,248,192,000 | 1,611,238,359,000 | 1,611,238,359,000 | NONE | null | I computed the sentence embedding of each sentence of bookcorpus data using bert base and saved them to disk. I used 20M sentences and the obtained arrow file is about 59GB while the original text file is only about 1.3GB. Are there any ways to reduce the size of the arrow file? | {
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"Well actually it looks like it was already added in #1428 \r\n\r\nMaybe we can close this one ? Or you wanted to make changes to this dataset ?",
"Thank you, it's just a modification of Readme. I added the missing citation.",
"Indeed thanks"
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"Hi @eric-mitchell,\r\nI think the issue might be that this dataset was added during the community sprint and has not been released yet. It will be available with the v2 of `datasets`.\r\nFor now, you should be able to load the datasets after installing the latest (master) version of `datasets` using pip:\r\n`pip i... | 1,609,179,369,000 | 1,609,848,308,000 | 1,609,696,685,000 | NONE | null | When loading the NarrativeQA dataset with `load_dataset('narrativeqa')` as given in the documentation [here](https://huggingface.co/datasets/narrativeqa), I receive a cascade of exceptions, ending with
FileNotFoundError: Couldn't find file locally at narrativeqa/narrativeqa.py, or remotely at
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