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https://api.github.com/repos/huggingface/datasets/issues/2021 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2021/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2021/comments | https://api.github.com/repos/huggingface/datasets/issues/2021/events | https://github.com/huggingface/datasets/issues/2021 | 826,988,016 | MDU6SXNzdWU4MjY5ODgwMTY= | 2,021 | Interactively doing save_to_disk and load_from_disk corrupts the datasets object? | {
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"Hi,\r\n\r\nCan you give us a minimal reproducible example? This [part](https://huggingface.co/docs/datasets/master/processing.html#controling-the-cache-behavior) of the docs explains how to control caching."
] | 2021-03-10T02:48:34 | 2021-03-13T10:07:41 | 2021-03-13T10:07:41 | NONE | null | null | null | null | dataset_info.json file saved after using save_to_disk gets corrupted as follows.
Is there a way to disable the cache that will save to /tmp/huggiface/datastes ?
I have a feeling there is a seri... | {
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"What's the issue exactly ?\r\n\r\nGiven an `upstream` remote repository with url `https://github.com/huggingface/datasets.git`, you can totally rebase from `upstream/master`.\r\n\r\nIt's mentioned at the beginning how to add the `upstream` remote repository\r\n\r\nhttps://github.com/huggingface/datasets/blob/987df... | 2021-03-09T09:48:55 | 2021-03-09T11:33:31 | 2021-03-09T11:33:31 | CONTRIBUTOR | null | null | null | null | Feels like the documentation on adding a new dataset is outdated?
https://github.com/huggingface/datasets/blob/987df6b4e9e20fc0c92bc9df48137d170756fd7b/ADD_NEW_DATASET.md#L49-L54
There is no upstream branch on remote. | {
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"I'm not able to reproduce on my side.\r\nCan you provide the full stacktrace please ?\r\nWhat version of `python` and `dill` do you have ? Which OS are you using ?",
"```\r\nco_filename = '<ipython-input-2-e0383a102aae>', returned_obj = [0]\r\n ... | 2021-03-09T09:01:38 | 2021-03-09T14:06:03 | 2021-03-09T14:06:03 | CONTRIBUTOR | null | null | null | null | I'm following the CI setup as described in
https://github.com/huggingface/datasets/blob/8eee4fa9e133fe873a7993ba746d32ca2b687551/.circleci/config.yml#L16-L19
in a new conda environment, at commit https://github.com/huggingface/datasets/commit/4de6dbf84e93dad97e1000120d6628c88954e5d4
and getting
```
FAILED... | {
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https://api.github.com/repos/huggingface/datasets/issues/2009 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2009/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2009/comments | https://api.github.com/repos/huggingface/datasets/issues/2009/events | https://github.com/huggingface/datasets/issues/2009 | 825,541,366 | MDU6SXNzdWU4MjU1NDEzNjY= | 2,009 | Ambiguous documentation | {
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"Hi @theo-m !\r\n\r\nA few lines above this line, you'll find that the `_split_generators` method returns a list of `SplitGenerator`s objects:\r\n\r\n```python\r\ndatasets.SplitGenerator(\r\n name=datasets.Split.VALIDATION,\r\n # These kwargs will be passed to _generate_examples\r\n gen_kwargs={\r\n ... | 2021-03-09T08:42:11 | 2021-03-12T15:01:34 | 2021-03-12T15:01:34 | CONTRIBUTOR | null | null | null | null | https://github.com/huggingface/datasets/blob/2ac9a0d24a091989f869af55f9f6411b37ff5188/templates/new_dataset_script.py#L156-L158
Looking at the template, I find this documentation line to be confusing, the method parameters don't include the `gen_kwargs` so I'm unclear where they're coming from.
Happy to push a PR... | {
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https://api.github.com/repos/huggingface/datasets/issues/2007 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2007/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2007/comments | https://api.github.com/repos/huggingface/datasets/issues/2007/events | https://github.com/huggingface/datasets/issues/2007 | 824,518,158 | MDU6SXNzdWU4MjQ1MTgxNTg= | 2,007 | How to not load huggingface datasets into memory | {
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"So maybe a summary here: \r\nIf I could fit a large model with batch_size = X into memory, is there a way I could train this model for huge datasets with keeping setting the same? thanks ",
"The `datastets` library doesn't load datasets into memory. Therefore you can load a dataset that is terabytes big without ... | 2021-03-08T12:35:26 | 2021-08-04T18:02:25 | 2021-08-04T18:02:25 | NONE | null | null | null | null | Hi
I am running this example from transformers library version 4.3.3:
(Here is the full documentation https://github.com/huggingface/transformers/issues/8771 but the running command should work out of the box)
USE_TF=0 deepspeed run_seq2seq.py --model_name_or_path google/mt5-base --dataset_name wmt16 --dataset_... | {
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https://api.github.com/repos/huggingface/datasets/issues/2005 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2005/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2005/comments | https://api.github.com/repos/huggingface/datasets/issues/2005/events | https://github.com/huggingface/datasets/issues/2005 | 824,275,035 | MDU6SXNzdWU4MjQyNzUwMzU= | 2,005 | Setting to torch format not working with torchvision and MNIST | {
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"Adding to the previous information, I think `torch.utils.data.DataLoader` is doing some conversion. \r\nWhat I tried:\r\n```python\r\ntrain_dataset = load_dataset('mnist')\r\n```\r\nI don't use any `map` or `set_format` or any `transform`. I use this directly, and try to load batches using the `DataLoader` with ba... | 2021-03-08T07:38:11 | 2021-03-09T17:58:13 | 2021-03-09T17:58:13 | CONTRIBUTOR | null | null | null | null | Hi
I am trying to use `torchvision.transforms` to handle the transformation of the image data in the `mnist` dataset. Assume I have a `transform` variable which contains the `torchvision.transforms` object.
A snippet of what I am trying to do:
```python
def prepare_features(examples):
images = []
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https://api.github.com/repos/huggingface/datasets/issues/2003 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2003/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2003/comments | https://api.github.com/repos/huggingface/datasets/issues/2003/events | https://github.com/huggingface/datasets/issues/2003 | 824,034,678 | MDU6SXNzdWU4MjQwMzQ2Nzg= | 2,003 | Messages are being printed to the `stdout` | {
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"This is expected to show this message to the user via stdout.\r\nThis way the users see it directly and can cancel the downloading if they want to.\r\nCould you elaborate why it would be better to have it in stderr instead of stdout ?",
"@lhoestq, sorry for the late reply\r\n\r\nI completely understand why you d... | 2021-03-07T22:09:34 | 2023-07-25T16:35:21 | 2023-07-25T16:35:21 | NONE | null | null | null | null | In this code segment, we can see some messages are being printed to the `stdout`.
https://github.com/huggingface/datasets/blob/7e60bb509b595e8edc60a87f32b2bacfc065d607/src/datasets/builder.py#L545-L554
According to the comment, it is done intentionally, but I don't really understand why don't we log it with a higher ... | {
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"Why did you close this issue? How did you end up finding the evidence documents? I'm running into a similar issue with other KILT tasks."
] | 2021-03-07T15:41:35 | 2022-12-19T19:25:14 | 2021-03-17T05:51:01 | NONE | null | null | null | null | In the original KILT benchmark(https://github.com/facebookresearch/KILT),
all samples has its evidence document (i.e. wikipedia page id) for prediction.
For example, a sample in ELI5 dataset has the format including provenance (=evidence document) like this
`{"id": "1kiwfx", "input": "In Trading Places (1983... | {
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https://api.github.com/repos/huggingface/datasets/issues/2000 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2000/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2000/comments | https://api.github.com/repos/huggingface/datasets/issues/2000/events | https://github.com/huggingface/datasets/issues/2000 | 823,899,910 | MDU6SXNzdWU4MjM4OTk5MTA= | 2,000 | Windows Permission Error (most recent version of datasets) | {
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"Hi @itsLuisa !\r\n\r\nCould you give us more information about the error you're getting, please?\r\nA copy-paste of the Traceback would be nice to get a better understanding of what is wrong :) ",
"Hello @SBrandeis , this is it:\r\n```\r\nTraceback (most recent call last):\r\n File \"C:\\Users\\Luisa\\AppData\\... | 2021-03-07T11:55:28 | 2021-03-09T12:42:57 | 2021-03-09T12:42:57 | NONE | null | null | null | null | Hi everyone,
Can anyone help me with why the dataset loading script below raises a Windows Permission Error? I stuck quite closely to https://github.com/huggingface/datasets/blob/master/datasets/conll2003/conll2003.py , only I want to load the data from three local three-column tsv-files (id\ttokens\tpos_tags\n). I am... | {
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https://api.github.com/repos/huggingface/datasets/issues/1997 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1997/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1997/comments | https://api.github.com/repos/huggingface/datasets/issues/1997/events | https://github.com/huggingface/datasets/issues/1997 | 823,679,465 | MDU6SXNzdWU4MjM2Nzk0NjU= | 1,997 | from datasets import MoleculeDataset, GEOMDataset | {
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https://api.github.com/repos/huggingface/datasets/issues/1996 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1996/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1996/comments | https://api.github.com/repos/huggingface/datasets/issues/1996/events | https://github.com/huggingface/datasets/issues/1996 | 823,573,410 | MDU6SXNzdWU4MjM1NzM0MTA= | 1,996 | Error when exploring `arabic_speech_corpus` | {
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"Thanks for reporting! We'll fix that as soon as possible",
"Actually soundfile is not a dependency of this dataset.\r\nThe error comes from a bug that was fixed in this commit: https://github.com/huggingface/datasets/pull/1767/commits/c304e63629f4453367de2fd42883a78768055532\r\nBasically the library used to cons... | 2021-03-06T05:55:20 | 2022-10-05T13:24:26 | 2022-10-05T13:24:26 | NONE | null | null | null | null | Navigate to https://huggingface.co/datasets/viewer/?dataset=arabic_speech_corpus
Error:
```
ImportError: To be able to use this dataset, you need to install the following dependencies['soundfile'] using 'pip install soundfile' for instance'
Traceback:
File "/home/sasha/.local/share/virtualenvs/lib-ogGKnCK_/lib/p... | {
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https://api.github.com/repos/huggingface/datasets/issues/1994 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1994/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1994/comments | https://api.github.com/repos/huggingface/datasets/issues/1994/events | https://github.com/huggingface/datasets/issues/1994 | 822,871,238 | MDU6SXNzdWU4MjI4NzEyMzg= | 1,994 | not being able to get wikipedia es language | {
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"@lhoestq I really appreciate if you could help me providiing processed datasets, I do not really have access to enough resources to run the apache-beam and need to run the codes on these datasets. Only en/de/fr currently works, but I need all the languages more or less. thanks ",
"Hi @dorost1234, I think I can ... | 2021-03-05T08:31:48 | 2021-03-11T20:46:21 | null | NONE | null | null | null | null | Hi
I am trying to run a code with wikipedia of config 20200501.es, getting:
Traceback (most recent call last):
File "run_mlm_t5.py", line 608, in <module>
main()
File "run_mlm_t5.py", line 359, in main
datasets = load_dataset(data_args.dataset_name, data_args.dataset_config_name)
File "/dara/libs... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1993 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1993/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1993/comments | https://api.github.com/repos/huggingface/datasets/issues/1993/events | https://github.com/huggingface/datasets/issues/1993 | 822,758,387 | MDU6SXNzdWU4MjI3NTgzODc= | 1,993 | How to load a dataset with load_from disk and save it again after doing transformations without changing the original? | {
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"Hi ! That looks like a bug, can you provide some code so that we can reproduce ?\r\nIt's not supposed to update the original dataset",
"Hi, I experimented with RAG. \r\n\r\nActually, you can run the [use_own_knowldge_dataset.py](https://github.com/shamanez/transformers/blob/rag-end-to-end-retrieval/examples/rese... | 2021-03-05T05:25:50 | 2021-03-22T04:05:50 | 2021-03-22T04:05:50 | NONE | null | null | null | null | I am using the latest datasets library. In my work, I first use **load_from_disk** to load a data set that contains 3.8Gb information. Then during my training process, I update that dataset object and add new elements and save it in a different place.
When I save the dataset with **save_to_disk**, the original da... | {
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https://api.github.com/repos/huggingface/datasets/issues/1992 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1992/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1992/comments | https://api.github.com/repos/huggingface/datasets/issues/1992/events | https://github.com/huggingface/datasets/issues/1992 | 822,672,238 | MDU6SXNzdWU4MjI2NzIyMzg= | 1,992 | `datasets.map` multi processing much slower than single processing | {
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"Hi @hwijeen, you might want to look at issues #1796 and #1949. I think it could be something related to the I/O operations being performed.",
"I see that many people are experiencing the same issue. Is this problem considered an \"official\" bug that is worth a closer look? @lhoestq",
"Yes this looks like a bu... | 2021-03-05T02:10:02 | 2024-06-08T20:18:03 | null | NONE | null | null | null | null | Hi, thank you for the great library.
I've been using datasets to pretrain language models, and it often involves datasets as large as ~70G.
My data preparation step is roughly two steps: `load_dataset` which splits corpora into a table of sentences, and `map` converts a sentence into a list of integers, using a tok... | null | {
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"Do you think this is trying to bring the dataset into memory and if I can avoid it to save on memory so it only brings a batch into memory? @lhoestq thank you",
"It's not trying to bring the dataset into memory.\r\n\r\nActually, it's trying to memory map the dataset file, which is different. It allows to load l... | 2021-03-04T18:21:58 | 2021-08-04T18:04:25 | 2021-08-04T18:04:25 | NONE | null | null | null | null | Hi,
I am trying to run a code with a wikipedia dataset, here is the command to reproduce the error. You can find the codes for run_mlm.py in huggingface repo here: https://github.com/huggingface/transformers/blob/v4.3.2/examples/language-modeling/run_mlm.py
```
python run_mlm.py --model_name_or_path bert-base-multi... | {
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https://api.github.com/repos/huggingface/datasets/issues/1989 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1989/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1989/comments | https://api.github.com/repos/huggingface/datasets/issues/1989/events | https://github.com/huggingface/datasets/issues/1989 | 822,328,147 | MDU6SXNzdWU4MjIzMjgxNDc= | 1,989 | Question/problem with dataset labels | {
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"It seems that I get parsing errors for various fields in my data. For example now I get this:\r\n```\r\n File \"../../../models/tr-4.3.2/run_puppets.py\", line 523, in <module>\r\n main()\r\n File \"../../../models/tr-4.3.2/run_puppets.py\", line 249, in main\r\n datasets = load_dataset(\"csv\", data_files... | 2021-03-04T17:06:53 | 2023-07-24T14:39:33 | 2023-07-24T14:39:33 | NONE | null | null | null | null | Hi, I'm using a dataset with two labels "nurse" and "not nurse". For whatever reason (that I don't understand), I get an error that I think comes from the datasets package (using csv). Everything works fine if the labels are "nurse" and "surgeon".
This is the trace I get:
```
File "../../../models/tr-4.3.2/run_... | {
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"Hi ! Yes it's possible to use image data. There are already a few of them available (MNIST, CIFAR..)"
] | 2021-03-04T17:04:20 | 2021-08-04T18:05:23 | 2021-08-04T18:05:23 | NONE | null | null | null | null | Hi!
At the README.MD, you say: "efficient data pre-processing: simple, fast and reproducible data pre-processing for the above public datasets as well as your own local datasets in CSV/JSON/text. "
But here:
https://github.com/huggingface/datasets/blob/master/templates/new_dataset_script.py#L82-L117
You menti... | {
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https://api.github.com/repos/huggingface/datasets/issues/1987 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1987/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1987/comments | https://api.github.com/repos/huggingface/datasets/issues/1987/events | https://github.com/huggingface/datasets/issues/1987 | 822,308,956 | MDU6SXNzdWU4MjIzMDg5NTY= | 1,987 | wmt15 is broken | {
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"It's reachable for the viewer and me, so I suppose it was down at that moment?"
] | 2021-03-04T16:46:25 | 2022-10-05T13:12:26 | 2022-10-05T13:12:26 | CONTRIBUTOR | null | null | null | null | While testing the hotfix, I tried a random other wmt release and found wmt15 to be broken:
```
python -c 'from datasets import load_dataset; load_dataset("wmt15", "de-en")'
Downloading: 2.91kB [00:00, 818kB/s]
Downloading: 3.02kB [00:00, 897kB/s]
Downloading: 41.1kB [00:00, 19.1MB/s]
Downloading and preparing da... | {
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https://api.github.com/repos/huggingface/datasets/issues/1986 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1986/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1986/comments | https://api.github.com/repos/huggingface/datasets/issues/1986/events | https://github.com/huggingface/datasets/issues/1986 | 822,176,290 | MDU6SXNzdWU4MjIxNzYyOTA= | 1,986 | wmt datasets fail to load | {
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"caching issue, seems to work again.."
] | 2021-03-04T14:18:55 | 2021-03-04T14:31:07 | 2021-03-04T14:31:07 | NONE | null | null | null | null | ~\.cache\huggingface\modules\datasets_modules\datasets\wmt14\43e717d978d2261502b0194999583acb874ba73b0f4aed0ada2889d1bb00f36e\wmt_utils.py in _split_generators(self, dl_manager)
758 # Extract manually downloaded files.
759 manual_files = dl_manager.extract(manual_paths_dict)
--> 760 e... | {
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https://api.github.com/repos/huggingface/datasets/issues/1984 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1984/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1984/comments | https://api.github.com/repos/huggingface/datasets/issues/1984/events | https://github.com/huggingface/datasets/issues/1984 | 821,816,588 | MDU6SXNzdWU4MjE4MTY1ODg= | 1,984 | Add tests for WMT datasets | {
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"Dummy data generation is deprecated now. Closing."
] | 2021-03-04T06:46:42 | 2022-11-04T14:19:16 | 2022-11-04T14:19:16 | MEMBER | null | null | null | null | As requested in #1981, we need tests for WMT datasets, using dummy data. | {
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https://api.github.com/repos/huggingface/datasets/issues/1983 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1983/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1983/comments | https://api.github.com/repos/huggingface/datasets/issues/1983/events | https://github.com/huggingface/datasets/issues/1983 | 821,746,008 | MDU6SXNzdWU4MjE3NDYwMDg= | 1,983 | The size of CoNLL-2003 is not consistant with the official release. | {
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"Hi,\r\n\r\nif you inspect the raw data, you can find there are 946 occurrences of `-DOCSTART- -X- -X- O` in the train split and `14041 + 946 = 14987`, which is exactly the number of sentences the authors report. `-DOCSTART-` is a special line that acts as a boundary between two different documents and is filtered ... | 2021-03-04T04:41:34 | 2022-10-05T13:13:26 | 2022-10-05T13:13:26 | NONE | null | null | null | null | Thanks for the dataset sharing! But when I use conll-2003, I meet some questions.
The statistics of conll-2003 in this repo is :
\#train 14041 \#dev 3250 \#test 3453
While the official statistics is:
\#train 14987 \#dev 3466 \#test 3684
Wish for your reply~ | {
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https://api.github.com/repos/huggingface/datasets/issues/1981 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1981/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1981/comments | https://api.github.com/repos/huggingface/datasets/issues/1981/events | https://github.com/huggingface/datasets/issues/1981 | 821,411,109 | MDU6SXNzdWU4MjE0MTExMDk= | 1,981 | wmt datasets fail to load | {
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"@stas00 Mea culpa... May I fix this tomorrow morning?",
"yes, of course, I reverted to the version before that and it works ;)\r\n\r\nbut since a new release was just made you will probably need to make a hotfix.\r\n\r\nand add the wmt to the tests?",
"Sure, I will implement a regression test!",
"@stas00 it ... | 2021-03-03T19:21:39 | 2021-03-04T14:16:47 | 2021-03-03T22:48:36 | CONTRIBUTOR | null | null | null | null | on master:
```
python -c 'from datasets import load_dataset; load_dataset("wmt14", "de-en")'
Downloading and preparing dataset wmt14/de-en (download: Unknown size, generated: Unknown size, post-processed: Unknown size, total: Unknown size) to /home/stas/.cache/huggingface/datasets/wmt14/de-en/1.0.0/43e717d978d226150... | {
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https://api.github.com/repos/huggingface/datasets/issues/1977 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1977/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1977/comments | https://api.github.com/repos/huggingface/datasets/issues/1977/events | https://github.com/huggingface/datasets/issues/1977 | 820,312,022 | MDU6SXNzdWU4MjAzMTIwMjI= | 1,977 | ModuleNotFoundError: No module named 'apache_beam' for wikipedia datasets | {
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"I sometimes also get this error with other languages of the same dataset:\r\n\r\n File \"/dara/libs/anaconda3/envs/code/lib/python3.7/site-packages/datasets-1.3.0-py3.7.egg/datasets/arrow_reader.py\", line 322, in read_table\r\n stream = stream_from(filename)\r\n File \"pyarrow/io.pxi\", line 782, in pyarrow.... | 2021-03-02T19:21:28 | 2021-03-03T10:17:40 | null | NONE | null | null | null | null | Hi
I am trying to run run_mlm.py code [1] of huggingface with following "wikipedia"/ "20200501.aa" dataset:
`python run_mlm.py --model_name_or_path bert-base-multilingual-cased --dataset_name wikipedia --dataset_config_name 20200501.aa --do_train --do_eval --output_dir /tmp/test-mlm --max_seq_l... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1973 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1973/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1973/comments | https://api.github.com/repos/huggingface/datasets/issues/1973/events | https://github.com/huggingface/datasets/issues/1973 | 820,077,312 | MDU6SXNzdWU4MjAwNzczMTI= | 1,973 | Question: what gets stored in the datasets cache and why is it so huge? | {
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"Echo'ing this observation: I have a few datasets in the neighborhood of 2GB CSVs uncompressed, and when I use something like `Dataset.save_to_disk()` it's ~18GB on disk.\r\n\r\nIf this is unexpected behavior, would be happy to help run debugging as needed.",
"Thanks @ioana-blue for pointing out this problem (and... | 2021-03-02T14:35:53 | 2021-03-30T14:03:59 | 2021-03-16T09:44:00 | NONE | null | null | null | null | I'm running several training jobs (around 10) with a relatively large dataset (3M samples). The datasets cache reached 178G and it seems really large. What is it stored in there and why is it so large? I don't think I noticed this problem before and seems to be related to the new version of the datasets library. Any in... | {
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https://api.github.com/repos/huggingface/datasets/issues/1972 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1972/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1972/comments | https://api.github.com/repos/huggingface/datasets/issues/1972/events | https://github.com/huggingface/datasets/issues/1972 | 819,752,761 | MDU6SXNzdWU4MTk3NTI3NjE= | 1,972 | 'Dataset' object has no attribute 'rename_column' | {
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"Hi ! `rename_column` has been added recently and will be available in the next release"
] | 2021-03-02T08:01:49 | 2022-06-01T16:08:47 | 2022-06-01T16:08:47 | NONE | null | null | null | null | 'Dataset' object has no attribute 'rename_column' | {
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https://api.github.com/repos/huggingface/datasets/issues/1965 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1965/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1965/comments | https://api.github.com/repos/huggingface/datasets/issues/1965/events | https://github.com/huggingface/datasets/issues/1965 | 818,833,460 | MDU6SXNzdWU4MTg4MzM0NjA= | 1,965 | Can we parallelized the add_faiss_index process over dataset shards ? | {
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"Hi !\r\nAs far as I know not all faiss indexes can be computed in parallel and then merged. \r\nFor example [here](https://github.com/facebookresearch/faiss/wiki/Special-operations-on-indexes#splitting-and-merging-indexes) is is mentioned that only IndexIVF indexes can be merged.\r\nMoreover faiss already works us... | 2021-03-01T12:47:34 | 2021-03-04T19:40:56 | 2021-03-04T19:40:42 | NONE | null | null | null | null | I am thinking of making the **add_faiss_index** process faster. What if we run the add_faiss_index process on separate dataset shards and then combine them before (dataset.concatenate) saving the faiss.index file ?
I feel theoretically this will reduce the accuracy of retrieval since it affects the indexing process... | {
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https://api.github.com/repos/huggingface/datasets/issues/1964 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1964/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1964/comments | https://api.github.com/repos/huggingface/datasets/issues/1964/events | https://github.com/huggingface/datasets/issues/1964 | 818,624,864 | MDU6SXNzdWU4MTg2MjQ4NjQ= | 1,964 | Datasets.py function load_dataset does not match squad dataset | {
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"Hi !\r\n\r\nTo fix 1, an you try to run this code ?\r\n```python\r\nfrom datasets import load_dataset\r\n\r\nload_dataset(\"squad\", download_mode=\"force_redownload\")\r\n```\r\nMaybe the file your downloaded was corrupted, in this case redownloading this way should fix your issue 1.\r\n\r\nRegarding your 2nd poi... | 2021-03-01T08:41:31 | 2022-10-05T13:09:47 | 2022-10-05T13:09:47 | NONE | null | null | null | null | ### 1 When I try to train lxmert,and follow the code in README that --dataset name:
```shell
python examples/question-answering/run_qa.py --model_name_or_path unc-nlp/lxmert-base-uncased --dataset_name squad --do_train --do_eval --per_device_train_batch_size 12 --learning_rate 3e-5 --num_train_epochs 2 --max_seq_len... | {
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https://api.github.com/repos/huggingface/datasets/issues/1963 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1963/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1963/comments | https://api.github.com/repos/huggingface/datasets/issues/1963/events | https://github.com/huggingface/datasets/issues/1963 | 818,289,967 | MDU6SXNzdWU4MTgyODk5Njc= | 1,963 | bug in SNLI dataset | {
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"Hi ! The labels -1 correspond to the examples without gold labels in the original snli dataset.\r\nFeel free to remove these examples if you don't need them by using\r\n```python\r\ndata = data.filter(lambda x: x[\"label\"] != -1)\r\n```"
] | 2021-02-28T19:36:20 | 2022-10-05T13:13:46 | 2022-10-05T13:13:46 | NONE | null | null | null | null | Hi
There is label of -1 in train set of SNLI dataset, please find the code below:
```
import numpy as np
import datasets
data = datasets.load_dataset("snli")["train"]
labels = []
for d in data:
labels.append(d["label"])
print(np.unique(labels))
```
and results:
`[-1 0 1 2]`
version of datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/1959 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1959/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1959/comments | https://api.github.com/repos/huggingface/datasets/issues/1959/events | https://github.com/huggingface/datasets/issues/1959 | 818,055,644 | MDU6SXNzdWU4MTgwNTU2NDQ= | 1,959 | Bug in skip_rows argument of load_dataset function ? | {
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"Hi,\r\n\r\ntry `skiprows` instead. This part is not properly documented in the docs it seems.\r\n\r\n@lhoestq I'll fix this as part of a bigger PR that fixes typos in the docs."
] | 2021-02-27T23:32:54 | 2021-03-09T10:21:32 | 2021-03-09T10:21:32 | NONE | null | null | null | null | Hello everyone,
I'm quite new to Git so sorry in advance if I'm breaking some ground rules of issues posting... :/
I tried to use the load_dataset function, from Huggingface datasets library, on a csv file using the skip_rows argument described on Huggingface page to skip the first row containing column names
`t... | {
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https://api.github.com/repos/huggingface/datasets/issues/1958 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1958/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1958/comments | https://api.github.com/repos/huggingface/datasets/issues/1958/events | https://github.com/huggingface/datasets/issues/1958 | 818,037,548 | MDU6SXNzdWU4MTgwMzc1NDg= | 1,958 | XSum dataset download link broken | {
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"Never mind, I ran it again and it worked this time. Strange."
] | 2021-02-27T21:47:56 | 2021-02-27T21:50:16 | 2021-02-27T21:50:16 | NONE | null | null | null | null | I did
```
from datasets import load_dataset
dataset = load_dataset("xsum")
```
This returns
`ConnectionError: Couldn't reach http://bollin.inf.ed.ac.uk/public/direct/XSUM-EMNLP18-Summary-Data-Original.tar.gz` | {
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https://api.github.com/repos/huggingface/datasets/issues/1956 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1956/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1956/comments | https://api.github.com/repos/huggingface/datasets/issues/1956/events | https://github.com/huggingface/datasets/issues/1956 | 818,013,741 | MDU6SXNzdWU4MTgwMTM3NDE= | 1,956 | [distributed env] potentially unsafe parallel execution | {
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"You can pass the same `experiment_id` for all the metrics of the same group, and use another `experiment_id` for the other groups.\r\nMaybe we can add an environment variable that sets the default value for `experiment_id` ? What do you think ?",
"Ah, you're absolutely correct, @lhoestq - it's exactly the equiva... | 2021-02-27T20:38:45 | 2021-03-01T17:24:42 | 2021-03-01T17:24:42 | CONTRIBUTOR | null | null | null | null | ```
metric = load_metric('glue', 'mrpc', num_process=num_process, process_id=rank)
```
presumes that there is only one set of parallel processes running - and will intermittently fail if you have multiple sets running as they will surely overwrite each other. Similar to https://github.com/huggingface/datasets/issu... | {
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"Hi\r\nnot sure how change the lable after creation, but this is an issue not dataset request. thanks ",
"Hi ! Currently you have to use `map` . You can see an example of how to do it in this comment: https://github.com/huggingface/datasets/issues/853#issuecomment-727872188\r\n\r\nIn the future we'll add support ... | 2021-02-26T18:17:27 | 2021-04-29T14:50:43 | 2021-04-29T14:50:43 | NONE | null | null | null | null | Hi
I'd need to add a new column to the dataset, I was wondering how this can be done? thanks
@lhoestq | {
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https://api.github.com/repos/huggingface/datasets/issues/1949 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1949/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1949/comments | https://api.github.com/repos/huggingface/datasets/issues/1949/events | https://github.com/huggingface/datasets/issues/1949 | 816,986,936 | MDU6SXNzdWU4MTY5ODY5MzY= | 1,949 | Enable Fast Filtering using Arrow Dataset | {
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"Hi @gchhablani :)\r\nThanks for proposing your help !\r\n\r\nI'll be doing a refactor of some parts related to filtering in the scope of https://github.com/huggingface/datasets/issues/1877\r\nSo I would first wait for this refactor to be done before working on the filtering. In particular because I plan to make th... | 2021-02-26T02:53:37 | 2021-02-26T19:18:29 | null | CONTRIBUTOR | null | null | null | null | Hi @lhoestq,
As mentioned in Issue #1796, I would love to work on enabling fast filtering/mapping. Can you please share the expectations? It would be great if you could point me to the relevant methods/files involved. Or the docs or maybe an overview of `arrow_dataset.py`. I only ask this because I am having trouble... | null | {
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"These warnings are showed when there's a call to `.map` to say to the user that a dataset is reloaded from the cache instead of being recomputed.\r\nThey are warnings since we want to make sure the users know that it's not recomputed.",
"Thank you for explaining the intention, @lhoestq \r\n\r\n1. Could it be the... | 2021-02-25T18:33:37 | 2023-07-12T17:19:30 | 2023-07-12T17:19:30 | CONTRIBUTOR | null | null | null | null | on master I get this with `--dataset_name wmt16 --dataset_config ro-en`:
```
WARNING:datasets.arrow_dataset:Loading cached processed dataset at /home/stas/.cache/huggingface/datasets/wmt16/ro-en/1.0.0/9dc00622c30446e99c4c63d12a484ea4fb653f2f37c867d6edcec839d7eae50f/cache-2e01bead8cf42e26.arrow
WARNING:datasets.arr... | {
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https://api.github.com/repos/huggingface/datasets/issues/1945 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1945/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1945/comments | https://api.github.com/repos/huggingface/datasets/issues/1945/events | https://github.com/huggingface/datasets/issues/1945 | 816,421,966 | MDU6SXNzdWU4MTY0MjE5NjY= | 1,945 | AttributeError: 'DatasetDict' object has no attribute 'concatenate_datasets' | {
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"sorry my mistake, datasets were overwritten closing now, thanks a lot"
] | 2021-02-25T13:09:45 | 2021-02-25T13:20:35 | 2021-02-25T13:20:26 | NONE | null | null | null | null | Hi
I am trying to concatenate a list of huggingface datastes as:
` train_dataset = datasets.concatenate_datasets(train_datasets)
`
Here is the `train_datasets` when I print:
```
[Dataset({
features: ['attention_mask', 'idx', 'input_ids', 'label', 'question1', 'question2', 'token_type_ids'],
num_rows... | {
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"Hi !\r\n\r\nThe cache at `~/.cache/huggingface/metrics` stores the users data for metrics computations (hence the arrow files).\r\n\r\nHowever python modules (i.e. dataset scripts, metric scripts) are stored in `~/.cache/huggingface/modules/datasets_modules`.\r\n\r\nIn particular the metrics are cached in `~/.cach... | 2021-02-25T03:02:15 | 2022-10-05T13:08:45 | 2022-10-05T13:08:45 | CONTRIBUTOR | null | null | null | null | the original report was pretty bad and incomplete - my apologies!
Please see the complete version here: https://github.com/huggingface/datasets/issues/1942#issuecomment-786336481
------------
As mentioned here https://github.com/huggingface/datasets/issues/1939 metrics don't get cached, looking at my local `~/... | {
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https://api.github.com/repos/huggingface/datasets/issues/1941 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1941/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1941/comments | https://api.github.com/repos/huggingface/datasets/issues/1941/events | https://github.com/huggingface/datasets/issues/1941 | 815,985,167 | MDU6SXNzdWU4MTU5ODUxNjc= | 1,941 | Loading of FAISS index fails for index_name = 'exact' | {
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"Thanks for reporting ! I'm taking a look",
"Index training was missing, I fixed it here: https://github.com/huggingface/datasets/commit/f5986c46323583989f6ed1dabaf267854424a521\r\n\r\nCan you try again please ?",
"Works great 👍 I just put a minor comment on the commit, I think you meant to pass the `train_siz... | 2021-02-25T01:30:54 | 2021-02-25T14:28:46 | 2021-02-25T14:28:46 | CONTRIBUTOR | null | null | null | null | Hi,
It looks like loading of FAISS index now fails when using index_name = 'exact'.
For example, from the RAG [model card](https://huggingface.co/facebook/rag-token-nq?fbclid=IwAR3bTfhls5U_t9DqsX2Vzb7NhtRHxJxfQ-uwFT7VuCPMZUM2AdAlKF_qkI8#usage).
Running `transformers==4.3.2` and datasets installed from source o... | {
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https://api.github.com/repos/huggingface/datasets/issues/1940 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1940/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1940/comments | https://api.github.com/repos/huggingface/datasets/issues/1940/events | https://github.com/huggingface/datasets/issues/1940 | 815,770,012 | MDU6SXNzdWU4MTU3NzAwMTI= | 1,940 | Side effect when filtering data due to `does_function_return_dict` call in `Dataset.map()` | {
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"Thanks for the report !\r\n\r\nCurrently we don't have a way to let the user easily disable this behavior.\r\nHowever I agree that we should support stateful processing functions, ideally by removing `does_function_return_dict`.\r\n\r\nWe needed this function in order to know whether the `map` functions needs to w... | 2021-02-24T19:18:56 | 2021-03-23T15:26:49 | 2021-03-23T15:26:49 | CONTRIBUTOR | null | null | null | null | Hi there!
In my codebase I have a function to filter rows in a dataset, selecting only a certain number of examples per class. The function passes a extra argument to maintain a counter of the number of dataset rows/examples already selected per each class, which are the ones I want to keep in the end:
```python
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"Thanks for reporting and for all the details and suggestions.\r\n\r\nI'm totally in favor of having a HF_DATASETS_OFFLINE env variable to disable manually all the connection checks, remove retries etc.\r\n\r\nMoreover you may know that the use case that you are mentioning is already supported from `datasets` 1.3.0... | 2021-02-24T17:13:42 | 2021-03-05T05:09:54 | 2021-03-05T05:09:54 | CONTRIBUTOR | null | null | null | null | This issue comes from a need to be able to run `datasets` in a firewalled env, which currently makes the software hang until it times out, as it's unable to complete the network calls.
I propose the following approach to solving this problem, using the example of `run_seq2seq.py` as a sample program. There are 2 pos... | {
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"Facing the same issue for [Squad](https://huggingface.co/datasets/viewer/?dataset=squad) and [TriviaQA](https://huggingface.co/datasets/viewer/?dataset=trivia_qa) datasets as well.",
"We just fixed the issue, thanks for reporting !"
] | 2021-02-24T06:47:33 | 2021-02-26T11:10:06 | 2021-02-26T11:10:06 | CONTRIBUTOR | null | null | null | null | The page of the CommonGen data https://huggingface.co/datasets/viewer/?dataset=common_gen shows
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"Dataset added in release [1.5.0](https://github.com/huggingface/datasets/releases/tag/1.5.0), I think I can close this."
] | 2021-02-23T12:53:16 | 2021-03-18T17:51:44 | 2021-03-18T17:51:44 | CONTRIBUTOR | null | null | null | null | I am going to add SST:
- **Name:** The Stanford Sentiment Treebank
- **Description:** The first corpus with fully labeled parse trees that allows for a complete analysis of the compositional effects of sentiment in language
- **Paper:** [Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank... | {
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https://api.github.com/repos/huggingface/datasets/issues/1924 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1924/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1924/comments | https://api.github.com/repos/huggingface/datasets/issues/1924/events | https://github.com/huggingface/datasets/issues/1924 | 813,599,733 | MDU6SXNzdWU4MTM1OTk3MzM= | 1,924 | Anonymous Dataset Addition (i.e Anonymous PR?) | {
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"Hi !\r\nI guess you can add a dataset without the fields that must be kept anonymous, and then update those when the anonymity period is over.\r\nYou can also make the PR from an anonymous org.\r\nPinging @yjernite just to make sure it's ok",
"Hello,\r\nI would prefer to do the reverse: adding a link to an anony... | 2021-02-22T15:22:30 | 2022-10-05T13:07:11 | 2022-10-05T13:07:11 | CONTRIBUTOR | null | null | null | null | Hello,
Thanks a lot for your librairy.
We plan to submit a paper on OpenReview using the Anonymous setting. Is it possible to add a new dataset without breaking the anonimity, with a link to the paper ?
Cheers
@eusip | {
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"Hi @JieyuZhao !\r\n\r\nYou can edit the dataset card of wino_bias to update the URL via a Pull Request. This would be really appreciated :)\r\n\r\nThe dataset card is the README.md file you can find at https://github.com/huggingface/datasets/tree/master/datasets/wino_bias\r\nAlso the homepage url is also mentioned... | 2021-02-22T05:39:39 | 2021-02-22T10:35:59 | null | CONTRIBUTOR | null | null | null | null | Hi all,
Thanks for the efforts to collect all the datasets! But I think there is a problem with the wino_bias dataset. The current link is not correct. How can I update that?
Thanks! | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1919 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1919/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1919/comments | https://api.github.com/repos/huggingface/datasets/issues/1919/events | https://github.com/huggingface/datasets/issues/1919 | 812,626,872 | MDU6SXNzdWU4MTI2MjY4NzI= | 1,919 | Failure to save with save_to_disk | {
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"Hi thanks for reporting and for proposing a fix :)\r\n\r\nI just merged a fix, feel free to try it from the master branch !",
"Closing since this has been fixed by #1923"
] | 2021-02-20T14:18:10 | 2021-03-03T17:40:27 | 2021-03-03T17:40:27 | CONTRIBUTOR | null | null | null | null | When I try to save a dataset locally using the `save_to_disk` method I get the error:
```bash
FileNotFoundError: [Errno 2] No such file or directory: '/content/squad/train/squad-train.arrow'
```
To replicate:
1. Install `datasets` from master
2. Run this code:
```python
from datasets import load... | {
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https://api.github.com/repos/huggingface/datasets/issues/1917 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1917/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1917/comments | https://api.github.com/repos/huggingface/datasets/issues/1917/events | https://github.com/huggingface/datasets/issues/1917 | 812,390,178 | MDU6SXNzdWU4MTIzOTAxNzg= | 1,917 | UnicodeDecodeError: windows 10 machine | {
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"upgraded to php 3.9.2 and it works!"
] | 2021-02-19T22:13:05 | 2021-02-19T22:41:11 | 2021-02-19T22:40:28 | NONE | null | null | null | null | Windows 10
Php 3.6.8
when running
```
import datasets
oscar_am = datasets.load_dataset("oscar", "unshuffled_deduplicated_am")
print(oscar_am["train"][0])
```
I get the following error
```
file "C:\PYTHON\3.6.8\lib\encodings\cp1252.py", line 23, in decode
return codecs.charmap_decode(input,self.er... | {
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https://api.github.com/repos/huggingface/datasets/issues/1915 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1915/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1915/comments | https://api.github.com/repos/huggingface/datasets/issues/1915/events | https://github.com/huggingface/datasets/issues/1915 | 812,229,654 | MDU6SXNzdWU4MTIyMjk2NTQ= | 1,915 | Unable to download `wiki_dpr` | {
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"Thanks for reporting ! This is a bug. For now feel free to set `ignore_verifications=False` in `load_dataset`.\r\nI'm working on a fix",
"I just merged a fix :)\r\n\r\nWe'll do a patch release soon. In the meantime feel free to try it from the master branch\r\nThanks again for reporting !",
"Closing since this... | 2021-02-19T18:11:32 | 2021-03-03T17:40:48 | 2021-03-03T17:40:48 | NONE | null | null | null | null | I am trying to download the `wiki_dpr` dataset. Specifically, I want to download `psgs_w100.multiset.no_index` with no embeddings/no index. In order to do so, I ran:
`curr_dataset = load_dataset("wiki_dpr", embeddings_name="multiset", index_name="no_index")`
However, I got the following error:
`datasets.utils.i... | {
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https://api.github.com/repos/huggingface/datasets/issues/1911 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1911/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1911/comments | https://api.github.com/repos/huggingface/datasets/issues/1911/events | https://github.com/huggingface/datasets/issues/1911 | 812,009,956 | MDU6SXNzdWU4MTIwMDk5NTY= | 1,911 | Saving processed dataset running infinitely | {
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"@thomwolf @lhoestq can you guys please take a look and recommend some solution.",
"am suspicious of this thing? what's the purpose of this? pickling and unplickling\r\n`self = pickle.loads(pickle.dumps(self))`\r\n\r\n```\r\n def save_to_disk(self, dataset_path: str, fs=None):\r\n \"\"\"\r\n Save... | 2021-02-19T13:09:19 | 2021-02-23T07:34:44 | null | NONE | null | null | null | null | I have a text dataset of size 220M.
For pre-processing, I need to tokenize this and filter rows with the large sequence.
My tokenization took roughly 3hrs. I used map() with batch size 1024 and multi-process with 96 processes.
filter() function was way to slow, so I used a hack to use pyarrow filter table func... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1907 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1907/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1907/comments | https://api.github.com/repos/huggingface/datasets/issues/1907/events | https://github.com/huggingface/datasets/issues/1907 | 811,520,569 | MDU6SXNzdWU4MTE1MjA1Njk= | 1,907 | DBPedia14 Dataset Checksum bug? | {
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"Hi ! :)\r\n\r\nThis looks like the same issue as https://github.com/huggingface/datasets/issues/1856 \r\nBasically google drive has quota issues that makes it inconvenient for downloading files.\r\n\r\nIf the quota of a file is exceeded, you have to wait 24h for the quota to reset (which is painful).\r\n\r\nThe er... | 2021-02-18T22:25:48 | 2021-02-22T23:22:05 | 2021-02-22T23:22:04 | CONTRIBUTOR | null | null | null | null | Hi there!!!
I've been using successfully the DBPedia dataset (https://huggingface.co/datasets/dbpedia_14) with my codebase in the last couple of weeks, but in the last couple of days now I get this error:
```
Traceback (most recent call last):
File "./conditional_classification/basic_pipeline.py", line 178, i... | {
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https://api.github.com/repos/huggingface/datasets/issues/1906 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1906/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1906/comments | https://api.github.com/repos/huggingface/datasets/issues/1906/events | https://github.com/huggingface/datasets/issues/1906 | 811,405,274 | MDU6SXNzdWU4MTE0MDUyNzQ= | 1,906 | Feature Request: Support for Pandas `Categorical` | {
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"We already have a ClassLabel type that does this kind of mapping between the label ids (integers) and actual label values (strings).\r\n\r\nI wonder if actually we should use the DictionaryType from Arrow and the Categorical type from pandas for the `datasets` ClassLabel feature type.\r\nCurrently ClassLabel corre... | 2021-02-18T19:46:05 | 2021-02-23T14:38:50 | null | CONTRIBUTOR | null | null | null | null | ```
from datasets import Dataset
import pandas as pd
import pyarrow
df = pd.DataFrame(pd.Series(["a", "b", "c", "a"], dtype="category"))
pyarrow.Table.from_pandas(df)
Dataset.from_pandas(df)
# Throws NotImplementedError
# TODO(thom) this will need access to the dictionary as well (for labels). I.e. to the py_... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1898 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1898/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1898/comments | https://api.github.com/repos/huggingface/datasets/issues/1898/events | https://github.com/huggingface/datasets/issues/1898 | 810,157,251 | MDU6SXNzdWU4MTAxNTcyNTE= | 1,898 | ALT dataset has repeating instances in all splits | {
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"Thanks for reporting. This looks like a very bad issue. I'm looking into it",
"I just merged a fix, we'll do a patch release soon. Thanks again for reporting, and sorry for the inconvenience.\r\nIn the meantime you can load `ALT` using `datasets` from the master branch",
"Thanks!!! works perfectly in the blead... | 2021-02-17T12:51:42 | 2021-02-19T06:18:46 | 2021-02-19T06:18:46 | NONE | null | null | null | null | The [ALT](https://huggingface.co/datasets/alt) dataset has all the same instances within each split :/
Seemed like a great dataset for some experiments I wanted to carry out, especially since its medium-sized, and has all splits.
Would be great if this could be fixed :)
Added a snapshot of the contents from `exp... | {
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https://api.github.com/repos/huggingface/datasets/issues/1895 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1895/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1895/comments | https://api.github.com/repos/huggingface/datasets/issues/1895/events | https://github.com/huggingface/datasets/issues/1895 | 809,630,271 | MDU6SXNzdWU4MDk2MzAyNzE= | 1,895 | Bug Report: timestamp[ns] not recognized | {
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"Thanks for reporting !\r\n\r\nYou're right, `string_to_arrow` should be able to take `\"timestamp[ns]\"` as input and return the right pyarrow timestamp type.\r\nFeel free to suggest a fix for `string_to_arrow` and open a PR if you want to contribute ! This would be very appreciated :)\r\n\r\nTo give you more cont... | 2021-02-16T20:38:04 | 2021-02-19T18:27:11 | 2021-02-19T18:27:11 | CONTRIBUTOR | null | null | null | null | Repro:
```
from datasets import Dataset
import pandas as pd
import pyarrow
df = pd.DataFrame(pd.date_range("2018-01-01", periods=3, freq="H"))
pyarrow.Table.from_pandas(df)
Dataset.from_pandas(df)
# Throws ValueError: Neither timestamp[ns] nor timestamp[ns]_ seems to be a pyarrow data type.
```
The fact... | {
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https://api.github.com/repos/huggingface/datasets/issues/1894 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1894/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1894/comments | https://api.github.com/repos/huggingface/datasets/issues/1894/events | https://github.com/huggingface/datasets/issues/1894 | 809,609,654 | MDU6SXNzdWU4MDk2MDk2NTQ= | 1,894 | benchmarking against MMapIndexedDataset | {
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"Hi sam !\r\nIndeed we can expect the performances to be very close since both MMapIndexedDataset and the `datasets` implem use memory mapping. With memory mapping what determines the I/O performance is the speed of your hard drive/SSD.\r\n\r\nIn terms of performance we're pretty close to the optimal speed for read... | 2021-02-16T20:04:58 | 2021-02-17T18:52:28 | null | CONTRIBUTOR | null | null | null | null | I am trying to benchmark my datasets based implementation against fairseq's [`MMapIndexedDataset`](https://github.com/pytorch/fairseq/blob/master/fairseq/data/indexed_dataset.py#L365) and finding that, according to psrecord, my `datasets` implem uses about 3% more CPU memory and runs 1% slower for `wikitext103` (~1GB o... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1893 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1893/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1893/comments | https://api.github.com/repos/huggingface/datasets/issues/1893/events | https://github.com/huggingface/datasets/issues/1893 | 809,556,503 | MDU6SXNzdWU4MDk1NTY1MDM= | 1,893 | wmt19 is broken | {
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"This was also mentioned in https://github.com/huggingface/datasets/issues/488 \r\n\r\nThe bucket where is data was stored seems to be unavailable now. Maybe we can change the URL to the ones in https://conferences.unite.un.org/uncorpus/en/downloadoverview ?",
"Closing since this has been fixed by #1912"
] | 2021-02-16T18:39:58 | 2021-03-03T17:42:02 | 2021-03-03T17:42:02 | CONTRIBUTOR | null | null | null | null | 1. Check which lang pairs we have: `--dataset_name wmt19`:
Please pick one among the available configs: ['cs-en', 'de-en', 'fi-en', 'gu-en', 'kk-en', 'lt-en', 'ru-en', 'zh-en', 'fr-de']
2. OK, let's pick `ru-en`:
`--dataset_name wmt19 --dataset_config "ru-en"`
no cookies:
```
Traceback (most recent c... | {
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https://api.github.com/repos/huggingface/datasets/issues/1892 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1892/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1892/comments | https://api.github.com/repos/huggingface/datasets/issues/1892/events | https://github.com/huggingface/datasets/issues/1892 | 809,554,174 | MDU6SXNzdWU4MDk1NTQxNzQ= | 1,892 | request to mirror wmt datasets, as they are really slow to download | {
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"Yes that would be awesome. Not only the download speeds are awful, but also some files are missing.\r\nWe list all the URLs in the datasets/wmt19/wmt_utils.py so we can make a script to download them all and host on S3.\r\nAlso I think most of the materials are under the CC BY-NC-SA 3.0 license (must double check)... | 2021-02-16T18:36:11 | 2021-10-26T06:55:42 | 2021-03-25T11:53:23 | CONTRIBUTOR | null | null | null | null | Would it be possible to mirror the wmt data files under hf? Some of them take hours to download and not because of the local speed. They are all quite small datasets, just extremely slow to download.
Thank you! | {
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https://api.github.com/repos/huggingface/datasets/issues/1891 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1891/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1891/comments | https://api.github.com/repos/huggingface/datasets/issues/1891/events | https://github.com/huggingface/datasets/issues/1891 | 809,550,001 | MDU6SXNzdWU4MDk1NTAwMDE= | 1,891 | suggestion to improve a missing dataset error | {
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"This is the current error thrown for missing datasets:\r\n```\r\nFileNotFoundError: Couldn't find a dataset script at C:\\Users\\Mario\\Desktop\\projects\\datasets\\missing_dataset\\missing_dataset.py or any data file in the same directory. Couldn't find 'missing_dataset' on the Hugging Face Hub either: FileNotFou... | 2021-02-16T18:29:13 | 2022-10-05T12:48:38 | 2022-10-05T12:48:38 | CONTRIBUTOR | null | null | null | null | I was using `--dataset_name wmt19` all was good. Then thought perhaps wmt20 is out, so I tried to use `--dataset_name wmt20`, got 3 different errors (1 repeated twice), none telling me the real issue - that `wmt20` isn't in the `datasets`:
```
True, predict_with_generate=True)
Traceback (most recent call last):
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https://api.github.com/repos/huggingface/datasets/issues/1877 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1877/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1877/comments | https://api.github.com/repos/huggingface/datasets/issues/1877/events | https://github.com/huggingface/datasets/issues/1877 | 808,462,272 | MDU6SXNzdWU4MDg0NjIyNzI= | 1,877 | Allow concatenation of both in-memory and on-disk datasets | {
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"I started working on this. My idea is to first add the pyarrow Table wrappers InMemoryTable and MemoryMappedTable that both implement what's necessary regarding copy/pickle. Then have another wrapper that takes the concatenation of InMemoryTable/MemoryMappedTable objects.\r\n\r\nWhat's important here is that conca... | 2021-02-15T11:39:46 | 2021-03-26T16:51:58 | 2021-03-26T16:51:58 | MEMBER | null | null | null | null | This is a prerequisite for the addition of the `add_item` feature (see #1870).
Currently there is one assumption that we would need to change: a dataset is either fully in memory (dataset._data_files is empty), or the dataset can be reloaded from disk (using the dataset._data_files).
This assumption is used for pickl... | {
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https://api.github.com/repos/huggingface/datasets/issues/1876 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1876/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1876/comments | https://api.github.com/repos/huggingface/datasets/issues/1876/events | https://github.com/huggingface/datasets/issues/1876 | 808,025,859 | MDU6SXNzdWU4MDgwMjU4NTk= | 1,876 | load_dataset("multi_woz_v22") NonMatchingChecksumError | {
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"Thanks for reporting !\r\nThis is due to the changes made in the data files in the multiwoz repo: https://github.com/budzianowski/multiwoz/pull/59\r\nI'm opening a PR to update the checksums of the data files.",
"I just merged the fix. It will be available in the new release of `datasets` later today.\r\nYou'll ... | 2021-02-14T19:14:48 | 2021-08-04T18:08:00 | 2021-08-04T18:08:00 | NONE | null | null | null | null | Hi, it seems that loading the multi_woz_v22 dataset gives a NonMatchingChecksumError.
To reproduce:
`dataset = load_dataset('multi_woz_v22','v2.2_active_only',split='train')`
This will give the following error:
```
raise NonMatchingChecksumError(error_msg + str(bad_urls))
datasets.utils.info_utils.N... | {
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https://api.github.com/repos/huggingface/datasets/issues/1872 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1872/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1872/comments | https://api.github.com/repos/huggingface/datasets/issues/1872/events | https://github.com/huggingface/datasets/issues/1872 | 807,711,935 | MDU6SXNzdWU4MDc3MTE5MzU= | 1,872 | Adding a new column to the dataset after set_format was called | {
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"Hi ! Indeed if you add a column to a formatted dataset, then the new dataset gets a new formatting in which:\r\n```\r\nnew formatted columns = (all columns - previously unformatted columns)\r\n```\r\nTherefore the new column is going to be formatted using the `torch` formatting.\r\n\r\nIf you want your new column ... | 2021-02-13T09:14:35 | 2021-03-30T14:01:45 | 2021-03-30T14:01:45 | NONE | null | null | null | null | Hi,
thanks for the nice library. I'm in the process of creating a custom dataset, which has a mix of tensors and lists of strings. I stumbled upon an error and want to know if its a problem on my side.
I load some lists of strings and integers, then call `data.set_format("torch", columns=["some_integer_column1"... | {
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https://api.github.com/repos/huggingface/datasets/issues/1867 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1867/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1867/comments | https://api.github.com/repos/huggingface/datasets/issues/1867/events | https://github.com/huggingface/datasets/issues/1867 | 807,127,181 | MDU6SXNzdWU4MDcxMjcxODE= | 1,867 | ERROR WHEN USING SET_TRANSFORM() | {
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"Hi @alejandrocros it looks like an incompatibility with the current Trainer @sgugger \r\nIndeed currently the Trainer of `transformers` doesn't support a dataset with a transform\r\n\r\nIt looks like it comes from this line: https://github.com/huggingface/transformers/blob/f51188cbe74195c14c5b3e2e8f10c2f435f9751a/... | 2021-02-12T10:38:31 | 2021-03-01T14:04:24 | 2021-02-24T12:00:43 | NONE | null | null | null | null | Hi, I'm trying to use dataset.set_transform(encode) as @lhoestq told me in this issue: https://github.com/huggingface/datasets/issues/1825#issuecomment-774202797
However, when I try to use Trainer from transformers with such dataset, it throws an error:
```
TypeError: __init__() missing 1 required positional arg... | {
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https://api.github.com/repos/huggingface/datasets/issues/1864 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1864/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1864/comments | https://api.github.com/repos/huggingface/datasets/issues/1864/events | https://github.com/huggingface/datasets/issues/1864 | 806,172,843 | MDU6SXNzdWU4MDYxNzI4NDM= | 1,864 | Add Winogender Schemas | {
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"Nevermind, this one is already available on the hub under the name `'wino_bias'`: https://huggingface.co/datasets/wino_bias"
] | 2021-02-11T08:18:38 | 2021-02-11T08:19:51 | 2021-02-11T08:19:51 | CONTRIBUTOR | null | null | null | null | ## Adding a Dataset
- **Name:** Winogender Schemas
- **Description:** Winogender Schemas (inspired by Winograd Schemas) are minimal pairs of sentences that differ only by the gender of one pronoun in the sentence, designed to test for the presence of gender bias in automated coreference resolution systems.
- **Paper... | {
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https://api.github.com/repos/huggingface/datasets/issues/1863 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1863/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1863/comments | https://api.github.com/repos/huggingface/datasets/issues/1863/events | https://github.com/huggingface/datasets/issues/1863 | 806,171,311 | MDU6SXNzdWU4MDYxNzEzMTE= | 1,863 | Add WikiCREM | {
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"Hi @NielsRogge I would like to work on this dataset.\r\n\r\nThanks!",
"Hi @udapy, are you working on this?"
] | 2021-02-11T08:16:00 | 2021-03-07T07:27:13 | null | CONTRIBUTOR | null | null | null | null | ## Adding a Dataset
- **Name:** WikiCREM
- **Description:** A large unsupervised corpus for coreference resolution.
- **Paper:** https://arxiv.org/abs/1905.06290
- **Github repo:**: https://github.com/vid-koci/bert-commonsense
- **Data:** https://ora.ox.ac.uk/objects/uuid:c83e94bb-7584-41a1-aef9-85b0e764d9e3
- **... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1859 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1859/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1859/comments | https://api.github.com/repos/huggingface/datasets/issues/1859/events | https://github.com/huggingface/datasets/issues/1859 | 805,479,025 | MDU6SXNzdWU4MDU0NzkwMjU= | 1,859 | Error "in void don't know how to serialize this type of index" when saving index to disk when device=0 (GPU) | {
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"Hi @corticalstack ! Thanks for reporting. Indeed in the recent versions of Faiss we must use `getDevice` to check if the index in on GPU.\r\n\r\nI'm opening a PR",
"I fixed this issue. It should work fine now.\r\nFeel free to try it out by installing `datasets` from source.\r\nOtherwise you can wait for the next... | 2021-02-10T12:41:00 | 2021-02-10T18:32:12 | 2021-02-10T18:17:47 | NONE | null | null | null | null | Error serializing faiss index. Error as follows:
`Error in void faiss::write_index(const faiss::Index*, faiss::IOWriter*) at /home/conda/feedstock_root/build_artifacts/faiss-split_1612472484670/work/faiss/impl/index_write.cpp:453: don't know how to serialize this type of index`
Note:
`torch.cuda.is_availabl... | {
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https://api.github.com/repos/huggingface/datasets/issues/1857 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1857/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1857/comments | https://api.github.com/repos/huggingface/datasets/issues/1857/events | https://github.com/huggingface/datasets/issues/1857 | 805,391,107 | MDU6SXNzdWU4MDUzOTExMDc= | 1,857 | Unable to upload "community provided" dataset - 400 Client Error | {
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"Hi ! We're in the process of switching the community datasets to git repos, exactly like what we're doing for models.\r\nYou can find an example here:\r\nhttps://huggingface.co/datasets/lhoestq/custom_squad/tree/main\r\n\r\nWe'll update the CLI in the coming days and do a new release :)\r\n\r\nAlso cc @julien-c ma... | 2021-02-10T10:39:01 | 2021-08-03T05:06:13 | 2021-08-03T05:06:13 | NONE | null | null | null | null | Hi,
i'm trying to a upload a dataset as described [here](https://huggingface.co/docs/datasets/v1.2.0/share_dataset.html#sharing-a-community-provided-dataset). This is what happens:
```
$ datasets-cli login
$ datasets-cli upload_dataset my_dataset
About to upload file /path/to/my_dataset/dataset_infos.json to S3... | {
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https://api.github.com/repos/huggingface/datasets/issues/1856 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1856/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1856/comments | https://api.github.com/repos/huggingface/datasets/issues/1856/events | https://github.com/huggingface/datasets/issues/1856 | 805,360,200 | MDU6SXNzdWU4MDUzNjAyMDA= | 1,856 | load_dataset("amazon_polarity") NonMatchingChecksumError | {
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"Hi ! This issue may be related to #996 \r\nThis comes probably from the Quota Exceeded error from Google Drive.\r\nCan you try again tomorrow and see if you still have the error ?\r\n\r\nOn my side I didn't get any error today with `load_dataset(\"amazon_polarity\")`",
"+1 encountering this issue as well",
"@l... | 2021-02-10T10:00:56 | 2022-03-15T13:55:24 | 2022-03-15T13:55:23 | NONE | null | null | null | null | Hi, it seems that loading the amazon_polarity dataset gives a NonMatchingChecksumError.
To reproduce:
```
load_dataset("amazon_polarity")
```
This will give the following error:
```
---------------------------------------------------------------------------
NonMatchingChecksumError Traceback ... | {
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https://api.github.com/repos/huggingface/datasets/issues/1854 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1854/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1854/comments | https://api.github.com/repos/huggingface/datasets/issues/1854/events | https://github.com/huggingface/datasets/issues/1854 | 805,204,397 | MDU6SXNzdWU4MDUyMDQzOTc= | 1,854 | Feature Request: Dataset.add_item | {
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"Hi @sshleifer.\r\n\r\nI am not sure of understanding the need of the `add_item` approach...\r\n\r\nBy just reading your \"Desired API\" section, I would say you could (nearly) get it with a 1-column Dataset:\r\n```python\r\ndata = {\"input_ids\": [np.array([4,4,2]), np.array([8,6,5,5,2]), np.array([3,3,31,5])]}\r\... | 2021-02-10T06:06:00 | 2021-04-23T10:01:30 | 2021-04-23T10:01:30 | CONTRIBUTOR | null | null | null | null | I'm trying to integrate `huggingface/datasets` functionality into `fairseq`, which requires (afaict) being able to build a dataset through an `add_item` method, such as https://github.com/pytorch/fairseq/blob/master/fairseq/data/indexed_dataset.py#L318, as opposed to loading all the text into arrow, and then `dataset.m... | {
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https://api.github.com/repos/huggingface/datasets/issues/1849 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1849/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1849/comments | https://api.github.com/repos/huggingface/datasets/issues/1849/events | https://github.com/huggingface/datasets/issues/1849 | 804,292,971 | MDU6SXNzdWU4MDQyOTI5NzE= | 1,849 | Add TIMIT | {
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"@patrickvonplaten Could you please help me with how the output text has to be represented in the data? TIMIT has Words, Phonemes and texts. Also has lot on info on the speaker and the dialect. Could you please help me? An example of how to arrange it would be super helpful!\r\n\r\n",
"Hey @vrindaprabhu - sure I'... | 2021-02-09T07:29:41 | 2021-03-15T05:59:37 | 2021-03-15T05:59:37 | CONTRIBUTOR | null | null | null | null | ## Adding a Dataset
- **Name:** *TIMIT*
- **Description:** *The TIMIT corpus of read speech has been designed to provide speech data for the acquisition of acoustic-phonetic knowledge and for the development and evaluation of automatic speech recognition systems*
- **Paper:** *Homepage*: http://groups.inf.ed.ac.uk... | {
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https://api.github.com/repos/huggingface/datasets/issues/1844 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1844/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1844/comments | https://api.github.com/repos/huggingface/datasets/issues/1844/events | https://github.com/huggingface/datasets/issues/1844 | 803,588,125 | MDU6SXNzdWU4MDM1ODgxMjU= | 1,844 | Update Open Subtitles corpus with original sentence IDs | {
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"Hi ! You're right this can can useful.\r\nThis should be easy to add, so feel free to give it a try if you want to contribute :)\r\nI think we just need to add it to the _generate_examples method of the OpenSubtitles dataset builder [here](https://github.com/huggingface/datasets/blob/master/datasets/open_subtitles... | 2021-02-08T13:55:13 | 2021-02-12T17:38:58 | 2021-02-12T17:38:58 | CONTRIBUTOR | null | null | null | null | Hi! It would be great if you could add the original sentence ids to [Open Subtitles](https://huggingface.co/datasets/open_subtitles).
I can think of two reasons: first, it's possible to gather sentences for an entire document (the original ids contain media id, subtitle file id and sentence id), therefore somewhat a... | {
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https://api.github.com/repos/huggingface/datasets/issues/1843 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1843/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1843/comments | https://api.github.com/repos/huggingface/datasets/issues/1843/events | https://github.com/huggingface/datasets/issues/1843 | 803,565,393 | MDU6SXNzdWU4MDM1NjUzOTM= | 1,843 | MustC Speech Translation | {
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"Hi @patrickvonplaten I would like to work on this dataset. \r\n\r\nThanks! ",
"That's awesome! Actually, I just noticed that this dataset might become a bit too big!\r\n\r\nMuST-C is the main dataset used for IWSLT19 and should probably be added as a standalone dataset. Would you be interested also in adding `d... | 2021-02-08T13:27:45 | 2025-08-25T09:01:54 | null | CONTRIBUTOR | null | null | null | null | ## Adding a Dataset
- **Name:** *IWSLT19*
- **Description:** *The Speech Translation Task addresses the translation of English audio into German and Portuguese text.*
- **Hompage:** *https://sites.google.com/view/iwslt-evaluation-2019/speech-translation*
- **Data:** *https://sites.google.com/view/iwslt-evaluation-2... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1842 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1842/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1842/comments | https://api.github.com/repos/huggingface/datasets/issues/1842/events | https://github.com/huggingface/datasets/issues/1842 | 803,563,149 | MDU6SXNzdWU4MDM1NjMxNDk= | 1,842 | Add AMI Corpus | {
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"Available here: ~https://huggingface.co/datasets/ami~ https://huggingface.co/datasets/edinburghcstr/ami",
"@mariosasko actually the \"official\" AMI dataset can be found here: https://huggingface.co/datasets/edinburghcstr/ami -> the old one under `datasets/ami` doesn't work and should be deleted. \r\n\r\nThe new... | 2021-02-08T13:25:00 | 2023-02-28T16:29:22 | 2023-02-28T16:29:22 | CONTRIBUTOR | null | null | null | null | ## Adding a Dataset
- **Name:** *AMI*
- **Description:** *The AMI Meeting Corpus is a multi-modal data set consisting of 100 hours of meeting recordings. For a gentle introduction to the corpus, see the corpus overview. To access the data, follow the directions given there. Around two-thirds of the data has been elic... | {
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https://api.github.com/repos/huggingface/datasets/issues/1841 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1841/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1841/comments | https://api.github.com/repos/huggingface/datasets/issues/1841/events | https://github.com/huggingface/datasets/issues/1841 | 803,561,123 | MDU6SXNzdWU4MDM1NjExMjM= | 1,841 | Add ljspeech | {
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"color": "d93f0b",... | closed | false | null | [] | [] | 2021-02-08T13:22:26 | 2021-03-15T05:59:02 | 2021-03-15T05:59:02 | CONTRIBUTOR | null | null | null | null | ## Adding a Dataset
- **Name:** *ljspeech*
- **Description:** *This is a public domain speech dataset consisting of 13,100 short audio clips of a single speaker reading passages from 7 non-fiction books. A transcription is provided for each clip. Clips vary in length from 1 to 10 seconds and have a total length of ap... | {
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https://api.github.com/repos/huggingface/datasets/issues/1840 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1840/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1840/comments | https://api.github.com/repos/huggingface/datasets/issues/1840/events | https://github.com/huggingface/datasets/issues/1840 | 803,560,039 | MDU6SXNzdWU4MDM1NjAwMzk= | 1,840 | Add common voice | {
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"I have started working on adding this dataset.",
"Hey @BirgerMoell - awesome that you started working on Common Voice. Common Voice is a bit special since, there is no direct download link to download the data. In these cases we usually consider two options:\r\n\r\n1) Find a hacky solution to extract the downloa... | 2021-02-08T13:21:05 | 2022-03-20T15:23:40 | 2021-03-15T05:56:21 | CONTRIBUTOR | null | null | null | null | ## Adding a Dataset
- **Name:** *common voice*
- **Description:** *Mozilla Common Voice Dataset*
- **Paper:** Homepage: https://voice.mozilla.org/en/datasets
- **Data:** https://voice.mozilla.org/en/datasets
- **Motivation:** Important speech dataset
- **TFDatasets Implementation**: https://www.tensorflow.org/dat... | {
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https://api.github.com/repos/huggingface/datasets/issues/1839 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1839/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1839/comments | https://api.github.com/repos/huggingface/datasets/issues/1839/events | https://github.com/huggingface/datasets/issues/1839 | 803,559,164 | MDU6SXNzdWU4MDM1NTkxNjQ= | 1,839 | Add Voxforge | {
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"color": "d93f0b",... | open | false | null | [] | [] | 2021-02-08T13:19:56 | 2021-02-08T13:28:31 | null | CONTRIBUTOR | null | null | null | null | ## Adding a Dataset
- **Name:** *voxforge*
- **Description:** *VoxForge is a language classification dataset. It consists of user submitted audio clips submitted to the website. In this release, data from 6 languages is collected - English, Spanish, French, German, Russian, and Italian. Since the website is constant... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1838 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1838/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1838/comments | https://api.github.com/repos/huggingface/datasets/issues/1838/events | https://github.com/huggingface/datasets/issues/1838 | 803,557,521 | MDU6SXNzdWU4MDM1NTc1MjE= | 1,838 | Add tedlium | {
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"Hi @patrickvonplaten \r\nI can have a look to this dataset later since I am trying to add the OpenSLR dataset https://github.com/huggingface/datasets/pull/2173\r\nHopefully I have enough space since the compressed file is 21GB. The release 3 is even bigger: 54GB :-0",
"Resolved via https://github.com/huggingface... | 2021-02-08T13:17:52 | 2022-10-04T14:34:12 | 2022-10-04T14:34:12 | CONTRIBUTOR | null | null | null | null | ## Adding a Dataset
- **Name:** *tedlium*
- **Description:** *The TED-LIUM 1-3 corpus is English-language TED talks, with transcriptions, sampled at 16kHz. It contains about 118 hours of speech.*
- **Paper:** Homepage: http://www.openslr.org/7/, https://lium.univ-lemans.fr/en/ted-lium2/ &, https://www.openslr.org/51... | {
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https://api.github.com/repos/huggingface/datasets/issues/1837 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1837/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1837/comments | https://api.github.com/repos/huggingface/datasets/issues/1837/events | https://github.com/huggingface/datasets/issues/1837 | 803,555,650 | MDU6SXNzdWU4MDM1NTU2NTA= | 1,837 | Add VCTK | {
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"color": "d93f0b",... | closed | false | null | [] | [
"@patrickvonplaten I'd like to take this, if nobody has already done it. I have added datasets before through the datasets sprint, but I feel rusty on the details, so I'll look at the guide as well as similar audio PRs (#1878 in particular comes to mind). If there is any detail I should be aware of please, let me k... | 2021-02-08T13:15:28 | 2021-12-28T15:05:08 | 2021-12-28T15:05:08 | CONTRIBUTOR | null | null | null | null | ## Adding a Dataset
- **Name:** *VCTK*
- **Description:** *This CSTR VCTK Corpus includes speech data uttered by 110 English speakers with various accents. Each speaker reads out about 400 sentences, which were selected from a newspaper, the rainbow passage and an elicitation paragraph used for the speech accent arch... | {
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https://api.github.com/repos/huggingface/datasets/issues/1836 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1836/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1836/comments | https://api.github.com/repos/huggingface/datasets/issues/1836/events | https://github.com/huggingface/datasets/issues/1836 | 803,531,837 | MDU6SXNzdWU4MDM1MzE4Mzc= | 1,836 | test.json has been removed from the limit dataset repo (breaks dataset) | {
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"Thanks for the heads up ! I'm opening a PR to fix that"
] | 2021-02-08T12:45:53 | 2021-02-10T16:14:58 | 2021-02-10T16:14:58 | NONE | null | null | null | null | https://github.com/huggingface/datasets/blob/16042b233dbff2a7585110134e969204c69322c3/datasets/limit/limit.py#L51
The URL is not valid anymore since test.json has been removed in master for some reason. Directly referencing the last commit works:
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https://api.github.com/repos/huggingface/datasets/issues/1835 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1835/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1835/comments | https://api.github.com/repos/huggingface/datasets/issues/1835/events | https://github.com/huggingface/datasets/issues/1835 | 803,524,790 | MDU6SXNzdWU4MDM1MjQ3OTA= | 1,835 | Add CHiME4 dataset | {
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"@patrickvonplaten not sure whether it is still needed, but willing to tackle this issue",
"Hey @patrickvonplaten, I have managed to download the zip on [here]( http://spandh.dcs.shef.ac.uk/chime_challenge/CHiME4/download.html) and successfully uploaded all the files on a hugging face dataset: \r\n\r\nhttps://hug... | 2021-02-08T12:36:38 | 2025-01-26T16:18:59 | null | CONTRIBUTOR | null | null | null | null | ## Adding a Dataset
- **Name:** Chime4
- **Description:** Chime4 is a dataset for automatic speech recognition. It is especially useful for evaluating models in a noisy environment and for multi-channel ASR
- **Paper:** Dataset comes from a channel: http://spandh.dcs.shef.ac.uk/chime_challenge/CHiME4/ . Results pape... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1832 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1832/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1832/comments | https://api.github.com/repos/huggingface/datasets/issues/1832/events | https://github.com/huggingface/datasets/issues/1832 | 802,880,897 | MDU6SXNzdWU4MDI4ODA4OTc= | 1,832 | Looks like nokogumbo is up-to-date now, so this is no longer needed. | {
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__Originally posted by @dependabot in https://github.com/discourse/discourse/pull/11373#issuecomment-738993432__ | {
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https://api.github.com/repos/huggingface/datasets/issues/1831 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1831/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1831/comments | https://api.github.com/repos/huggingface/datasets/issues/1831/events | https://github.com/huggingface/datasets/issues/1831 | 802,868,854 | MDU6SXNzdWU4MDI4Njg4NTQ= | 1,831 | Some question about raw dataset download info in the project . | {
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"Hi ! The `dl_manager` is a `DownloadManager` object and is responsible for downloading the raw data files.\r\nIt is used by dataset builders in their `_split_generators` method to download the raw data files that are necessary to build the datasets splits.\r\n\r\nThe `Conll2003` class is a dataset builder, and so ... | 2021-02-07T05:33:36 | 2021-02-25T14:10:18 | 2021-02-25T14:10:18 | NONE | null | null | null | null | Hi , i review the code in
https://github.com/huggingface/datasets/blob/master/datasets/conll2003/conll2003.py
in the _split_generators function is the truly logic of download raw datasets with dl_manager
and use Conll2003 cls by use import_main_class in load_dataset function
My question is that , with this logic i... | {
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https://api.github.com/repos/huggingface/datasets/issues/1830 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1830/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1830/comments | https://api.github.com/repos/huggingface/datasets/issues/1830/events | https://github.com/huggingface/datasets/issues/1830 | 802,790,075 | MDU6SXNzdWU4MDI3OTAwNzU= | 1,830 | using map on loaded Tokenizer 10x - 100x slower than default Tokenizer? | {
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"Hi @wumpusman \r\n`datasets` has a caching mechanism that allows to cache the results of `.map` so that when you want to re-run it later it doesn't recompute it again.\r\nSo when you do `.map`, what actually happens is:\r\n1. compute the hash used to identify your `map` for the cache\r\n2. apply your function on e... | 2021-02-06T21:00:26 | 2021-02-24T21:56:14 | null | NONE | null | null | null | null | This could total relate to me misunderstanding particular call functions, but I added words to a GPT2Tokenizer, and saved it to disk (note I'm only showing snippets but I can share more) and the map function ran much slower:
````
def save_tokenizer(original_tokenizer,text,path="simpledata/tokenizer"):
words_u... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1827 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1827/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1827/comments | https://api.github.com/repos/huggingface/datasets/issues/1827/events | https://github.com/huggingface/datasets/issues/1827 | 802,353,974 | MDU6SXNzdWU4MDIzNTM5NzQ= | 1,827 | Regarding On-the-fly Data Loading | {
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"Possible duplicate\r\n\r\n#1776 https://github.com/huggingface/datasets/issues/\r\n\r\nreally looking PR for this feature",
"Hi @acul3 \r\n\r\nIssue #1776 talks about doing on-the-fly data pre-processing, which I think is solved in the next release as mentioned in the issue #1825. I also look forward to using t... | 2021-02-05T17:43:48 | 2021-02-18T13:55:16 | 2021-02-18T13:55:16 | CONTRIBUTOR | null | null | null | null | Hi,
I was wondering if it is possible to load images/texts as a batch during the training process, without loading the entire dataset on the RAM at any given point.
Thanks,
Gunjan | {
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https://api.github.com/repos/huggingface/datasets/issues/1825 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1825/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1825/comments | https://api.github.com/repos/huggingface/datasets/issues/1825/events | https://github.com/huggingface/datasets/issues/1825 | 802,073,925 | MDU6SXNzdWU4MDIwNzM5MjU= | 1,825 | Datasets library not suitable for huge text datasets. | {
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"Hi ! Looks related to #861 \r\n\r\nYou are right: tokenizing a dataset using map takes a lot of space since it can store `input_ids` but also `token_type_ids`, `attention_mask` and `special_tokens_mask`. Moreover if your tokenization function returns python integers then by default they'll be stored as int64 which... | 2021-02-05T11:06:50 | 2021-03-30T14:04:01 | 2021-03-16T09:44:00 | NONE | null | null | null | null | Hi,
I'm trying to use datasets library to load a 187GB dataset of pure text, with the intention of building a Language Model. The problem is that from the 187GB it goes to some TB when processed by Datasets. First of all, I think the pre-tokenizing step (with tokenizer.map()) is not really thought for datasets this ... | {
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https://api.github.com/repos/huggingface/datasets/issues/1821 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1821/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1821/comments | https://api.github.com/repos/huggingface/datasets/issues/1821/events | https://github.com/huggingface/datasets/issues/1821 | 801,747,647 | MDU6SXNzdWU4MDE3NDc2NDc= | 1,821 | Provide better exception message when one of many files results in an exception | {
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"Hi!\r\n\r\nThank you for reporting this issue. I agree that the information about the exception should be more clear and explicit.\r\n\r\nI could take on this issue.\r\n\r\nOn the meantime, as you can see from the exception stack trace, HF Datasets uses pandas to read the CSV files. You can pass arguments to `pand... | 2021-02-05T00:49:03 | 2021-02-09T17:39:27 | 2021-02-09T17:39:27 | NONE | null | null | null | null | I find when I process many files, i.e.
```
train_files = glob.glob('rain*.csv')
validation_files = glob.glob(validation*.csv')
datasets = load_dataset("csv", data_files=dict(train=train_files, validation=validation_files))
```
I sometimes encounter an error due to one of the files being misformed (i.e. no dat... | {
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https://api.github.com/repos/huggingface/datasets/issues/1818 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1818/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1818/comments | https://api.github.com/repos/huggingface/datasets/issues/1818/events | https://github.com/huggingface/datasets/issues/1818 | 800,958,776 | MDU6SXNzdWU4MDA5NTg3NzY= | 1,818 | Loading local dataset raise requests.exceptions.ConnectTimeout | {
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"Hi ! Thanks for reporting. This was indeed a bug introduced when we moved the `json` dataset loader inside the `datasets` package (before that, the `json` loader was fetched online, as all the other dataset scripts).\r\n\r\nThis should be fixed on master now. Feel free to install `datasets` from source to try it o... | 2021-02-04T05:55:23 | 2022-06-01T15:38:42 | 2022-06-01T15:38:42 | NONE | null | null | null | null | Load local dataset:
```
dataset = load_dataset('json', data_files=["../../data/json.json"])
train = dataset["train"]
print(train.features)
train1 = train.map(lambda x: {"labels": 1})
print(train1[:2])
```
but it raised requests.exceptions.ConnectTimeout:
```
/Users/littlely/myvirtual/tf2/bin/python3.7 /Us... | {
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https://api.github.com/repos/huggingface/datasets/issues/1817 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1817/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1817/comments | https://api.github.com/repos/huggingface/datasets/issues/1817/events | https://github.com/huggingface/datasets/issues/1817 | 800,870,652 | MDU6SXNzdWU4MDA4NzA2NTI= | 1,817 | pyarrow.lib.ArrowInvalid: Column 1 named input_ids expected length 599 but got length 1500 | {
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"Hi !\r\nThe error you have is due to the `input_ids` column not having the same number of examples as the other columns.\r\nIndeed you're concatenating the `input_ids` at this line:\r\n\r\nhttps://github.com/LuCeHe/GenericTools/blob/431835d8e13ec24dceb5ee4dc4ae58f0e873b091/KerasTools/lm_preprocessing.py#L134\r\n\r... | 2021-02-04T02:30:23 | 2022-10-05T12:42:57 | 2022-10-05T12:42:57 | NONE | null | null | null | null | I am trying to preprocess any dataset in this package with GPT-2 tokenizer, so I need to structure the datasets as long sequences of text without padding. I've been following a couple of your tutorials and here you can find the script that is failing right at the end
https://github.com/LuCeHe/GenericTools/blob/maste... | {
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https://api.github.com/repos/huggingface/datasets/issues/1811 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1811/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1811/comments | https://api.github.com/repos/huggingface/datasets/issues/1811/events | https://github.com/huggingface/datasets/issues/1811 | 799,211,060 | MDU6SXNzdWU3OTkyMTEwNjA= | 1,811 | Unable to add Multi-label Datasets | {
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"Thanks for adding this dataset! As far as I know `supervised_keys` is mostly a holdover from TFDS, but isn't really used, so feel free to drop it (@lhoestq or @thomwolf correct me if I'm wrong). It definitely shouldn't be blocking :) ",
"I can confirm that it comes from TFDS and is not used at the moment.",
"... | 2021-02-02T11:50:56 | 2021-02-18T14:16:31 | 2021-02-18T14:16:31 | CONTRIBUTOR | null | null | null | null | I am trying to add [CIFAR-100](https://www.cs.toronto.edu/~kriz/cifar.html) dataset. The dataset contains two labels per image - `fine label` and `coarse label`. Using just one label in supervised keys as
`supervised_keys=("img", "fine_label")` raises no issue. But trying `supervised_keys=("img", "fine_label","coarse... | {
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https://api.github.com/repos/huggingface/datasets/issues/1810 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1810/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1810/comments | https://api.github.com/repos/huggingface/datasets/issues/1810/events | https://github.com/huggingface/datasets/issues/1810 | 799,168,650 | MDU6SXNzdWU3OTkxNjg2NTA= | 1,810 | Add Hateful Memes Dataset | {
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"I am not sure, but would `datasets.Sequence(datasets.Sequence(datasets.Sequence(datasets.Value(\"int\")))` work?",
"Also, I found the information for loading only subsets of the data [here](https://github.com/huggingface/datasets/blob/master/docs/source/splits.rst).",
"Hi @lhoestq,\r\n\r\nRequest you to check ... | 2021-02-02T10:53:59 | 2021-12-08T12:03:59 | null | CONTRIBUTOR | null | null | null | null | ## Add Hateful Memes Dataset
- **Name:** Hateful Memes
- **Description:** [https://ai.facebook.com/blog/hateful-memes-challenge-and-data-set]( https://ai.facebook.com/blog/hateful-memes-challenge-and-data-set)
- **Paper:** [https://arxiv.org/pdf/2005.04790.pdf](https://arxiv.org/pdf/2005.04790.pdf)
- **Data:** [Thi... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1808 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1808/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1808/comments | https://api.github.com/repos/huggingface/datasets/issues/1808/events | https://github.com/huggingface/datasets/issues/1808 | 798,879,180 | MDU6SXNzdWU3OTg4NzkxODA= | 1,808 | writing Datasets in a human readable format | {
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"AFAIK, there is currently no built-in method on the `Dataset` object to do this.\r\nHowever, a workaround is to directly use the Arrow table backing the dataset, **but it implies loading the whole dataset in memory** (correct me if I'm mistaken @lhoestq).\r\n\r\nYou can convert the Arrow table to a pandas datafram... | 2021-02-02T02:55:40 | 2022-06-01T15:38:13 | 2022-06-01T15:38:13 | NONE | null | null | null | null | Hi
I see there is a save_to_disk function to save data, but this is not human readable format, is there a way I could save a Dataset object in a human readable format to a file like json? thanks @lhoestq | {
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https://api.github.com/repos/huggingface/datasets/issues/1805 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1805/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1805/comments | https://api.github.com/repos/huggingface/datasets/issues/1805/events | https://github.com/huggingface/datasets/issues/1805 | 798,498,053 | MDU6SXNzdWU3OTg0OTgwNTM= | 1,805 | can't pickle SwigPyObject objects when calling dataset.get_nearest_examples from FAISS index | {
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"Hi ! Indeed we used to require mapping functions to be picklable with `pickle` or `dill` in order to cache the resulting datasets. And FAISS indexes are not picklable unfortunately.\r\n\r\nBut since #1703 this is no longer required (the caching will simply be disabled). This change will be available in the next re... | 2021-02-01T16:14:17 | 2021-03-06T14:32:46 | 2021-03-06T14:32:46 | CONTRIBUTOR | null | null | null | null | So, I have the following instances in my dataset
```
{'question': 'An astronomer observes that a planet rotates faster after a meteorite impact. Which is the most likely effect of
this increase in rotation?',
'answer': 'C',
'example_id': 'ARCCH_Mercury_7175875',
'options':[{'option_context': 'One effect of ... | {
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https://api.github.com/repos/huggingface/datasets/issues/1803 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1803/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1803/comments | https://api.github.com/repos/huggingface/datasets/issues/1803/events | https://github.com/huggingface/datasets/issues/1803 | 798,243,904 | MDU6SXNzdWU3OTgyNDM5MDQ= | 1,803 | Querying examples from big datasets is slower than small datasets | {
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"Hello, @lhoestq / @gaceladri : We have been seeing similar behavior with bigger datasets, where querying time increases. Are you folks aware of any solution that fixes this problem yet? ",
"Hi ! I'm pretty sure that it can be fixed by using the Arrow IPC file format instead of the raw streaming format but I ha... | 2021-02-01T11:08:23 | 2021-08-04T18:11:01 | 2021-08-04T18:10:42 | MEMBER | null | null | null | null | After some experiments with bookcorpus I noticed that querying examples from big datasets is slower than small datasets.
For example
```python
from datasets import load_dataset
b1 = load_dataset("bookcorpus", split="train[:1%]")
b50 = load_dataset("bookcorpus", split="train[:50%]")
b100 = load_dataset("bookcorp... | {
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https://api.github.com/repos/huggingface/datasets/issues/1797 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1797/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1797/comments | https://api.github.com/repos/huggingface/datasets/issues/1797/events | https://github.com/huggingface/datasets/issues/1797 | 797,357,901 | MDU6SXNzdWU3OTczNTc5MDE= | 1,797 | Connection error | {
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"Hi ! For future references let me add a link to our discussion here : https://github.com/huggingface/datasets/issues/759#issuecomment-770684693\r\n\r\nLet me know if you manage to fix your proxy issue or if we can do something on our end to help you :)"
] | 2021-01-30T07:32:45 | 2021-08-04T18:09:37 | 2021-08-04T18:09:37 | NONE | null | null | null | null | Hi
I am hitting to the error, help me and thanks.
`train_data = datasets.load_dataset("xsum", split="train")`
`ConnectionError: Couldn't reach https://raw.githubusercontent.com/huggingface/datasets/1.0.2/datasets/xsum/xsum.py` | {
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https://api.github.com/repos/huggingface/datasets/issues/1796 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1796/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1796/comments | https://api.github.com/repos/huggingface/datasets/issues/1796/events | https://github.com/huggingface/datasets/issues/1796 | 797,329,905 | MDU6SXNzdWU3OTczMjk5MDU= | 1,796 | Filter on dataset too much slowww | {
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"When I use the filter on the arrow table directly, it works like butter. But I can't find a way to update the table in `Dataset` object.\r\n\r\n```\r\nds_table = dataset.data.filter(mask=dataset['flag'])\r\n```",
"@thomwolf @lhoestq can you guys please take a look and recommend some solution.",
"Hi ! Currently... | 2021-01-30T04:09:19 | 2025-05-15T13:19:55 | null | NONE | null | null | null | null | I have a dataset with 50M rows.
For pre-processing, I need to tokenize this and filter rows with the large sequence.
My tokenization took roughly 12mins. I used `map()` with batch size 1024 and multi-process with 96 processes.
When I applied the `filter()` function it is taking too much time. I need to filter se... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1790 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1790/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1790/comments | https://api.github.com/repos/huggingface/datasets/issues/1790/events | https://github.com/huggingface/datasets/issues/1790 | 796,678,157 | MDU6SXNzdWU3OTY2NzgxNTc= | 1,790 | ModuleNotFoundError: No module named 'apache_beam', when specific languages. | {
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"Hi !\r\n\r\nApache Beam is a framework used to define data transformation pipelines. These pipeline can then be run in many runtimes: DataFlow, Spark, Flink, etc. There also exist a local runner called the DirectRunner.\r\nWikipedia is a dataset that requires some parsing, so to allow the processing to be run on t... | 2021-01-29T08:17:24 | 2021-03-25T12:10:51 | null | CONTRIBUTOR | null | null | null | null | ```py
import datasets
wiki = datasets.load_dataset('wikipedia', '20200501.ja', cache_dir='./datasets')
```
then `ModuleNotFoundError: No module named 'apache_beam'` happend.
The error doesn't appear when it's '20200501.en'.
I don't know Apache Beam, but according to #498 it isn't necessary when it's saved to lo... | null | {
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https://api.github.com/repos/huggingface/datasets/issues/1786 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1786/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1786/comments | https://api.github.com/repos/huggingface/datasets/issues/1786/events | https://github.com/huggingface/datasets/issues/1786 | 795,462,816 | MDU6SXNzdWU3OTU0NjI4MTY= | 1,786 | How to use split dataset | {
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"By default, all 3 splits will be loaded if you run the following:\r\n\r\n```python\r\nfrom datasets import load_dataset\r\ndataset = load_dataset(\"lambada\")\r\nprint(dataset[\"train\"])\r\nprint(dataset[\"valid\"])\r\n\r\n```\r\n\r\nIf you wanted to do load this manually, you could do this:\r\n\r\n```python\r\nf... | 2021-01-27T21:37:47 | 2021-04-23T15:17:39 | 2021-04-23T15:17:39 | NONE | null | null | null | null | 
Hey,
I want to split the lambada dataset into corpus, test, train and valid txt files (like penn treebank) but I am not able to achieve this. What I am doing is, executing the lambada.py file in my pro... | {
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https://api.github.com/repos/huggingface/datasets/issues/1785 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1785/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1785/comments | https://api.github.com/repos/huggingface/datasets/issues/1785/events | https://github.com/huggingface/datasets/issues/1785 | 795,458,856 | MDU6SXNzdWU3OTU0NTg4NTY= | 1,785 | Not enough disk space (Needed: Unknown size) when caching on a cluster | {
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"Hi ! \r\n\r\nWhat do you mean by \"disk_usage(\".\").free` can't compute on the cluster's shared disk\" exactly ?\r\nDoes it return 0 ?",
"Yes, that's right. It shows 0 free space even though there is. I suspect it might have to do with permissions on the shared disk.\r\n\r\n```python\r\n>>> disk_usage(\".\")\r\... | 2021-01-27T21:30:59 | 2024-12-04T02:57:00 | 2021-01-30T01:07:56 | CONTRIBUTOR | null | null | null | null | I'm running some experiments where I'm caching datasets on a cluster and accessing it through multiple compute nodes. However, I get an error when loading the cached dataset from the shared disk.
The exact error thrown:
```bash
>>> load_dataset(dataset, cache_dir="/path/to/cluster/shared/path")
OSError: Not eno... | {
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https://api.github.com/repos/huggingface/datasets/issues/1784 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1784/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1784/comments | https://api.github.com/repos/huggingface/datasets/issues/1784/events | https://github.com/huggingface/datasets/issues/1784 | 794,659,174 | MDU6SXNzdWU3OTQ2NTkxNzQ= | 1,784 | JSONDecodeError on JSON with multiple lines | {
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"Hi !\r\n\r\nThe `json` dataset script does support this format. For example loading a dataset with this format works on my side:\r\n```json\r\n{\"key1\":11, \"key2\":12, \"key3\":13}\r\n{\"key1\":21, \"key2\":22, \"key3\":23}\r\n```\r\n\r\nCan you show the full stacktrace please ? Also which version of datasets an... | 2021-01-27T00:19:22 | 2021-01-31T08:47:18 | 2021-01-31T08:47:18 | CONTRIBUTOR | null | null | null | null | Hello :),
I have been trying to load data using a JSON file. Based on the [docs](https://huggingface.co/docs/datasets/loading_datasets.html#json-files), the following format is supported:
```json
{"key1":11, "key2":12, "key3":13}
{"key1":21, "key2":22, "key3":23}
```
But, when I try loading a dataset with th... | {
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https://api.github.com/repos/huggingface/datasets/issues/1783 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1783/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1783/comments | https://api.github.com/repos/huggingface/datasets/issues/1783/events | https://github.com/huggingface/datasets/issues/1783 | 794,544,495 | MDU6SXNzdWU3OTQ1NDQ0OTU= | 1,783 | Dataset Examples Explorer | {
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"Hi @ChewKokWah,\r\n\r\nWe're working on it! In the meantime, you can still find the dataset explorer at the following URL: https://huggingface.co/datasets/viewer/",
"Glad to see that it still exist, this existing one is more than good enough for me, it is feature rich, simple to use and concise. \r\nHope similar... | 2021-01-26T20:39:02 | 2021-02-01T13:58:44 | 2021-02-01T13:58:44 | NONE | null | null | null | null | In the Older version of the Dataset, there are a useful Dataset Explorer that allow user to visualize the examples (training, test and validation) of a particular dataset, it is no longer there in current version.
Hope HuggingFace can re-enable the feature that at least allow viewing of the first 20 examples of a ... | {
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https://api.github.com/repos/huggingface/datasets/issues/1781 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1781/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1781/comments | https://api.github.com/repos/huggingface/datasets/issues/1781/events | https://github.com/huggingface/datasets/issues/1781 | 793,914,556 | MDU6SXNzdWU3OTM5MTQ1NTY= | 1,781 | AttributeError: module 'pyarrow' has no attribute 'PyExtensionType' during import | {
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"Hi ! I'm not able to reproduce the issue. Can you try restarting your runtime ?\r\n\r\nThe PyExtensionType is available in pyarrow starting 0.17.1 iirc. If restarting your runtime doesn't fix this, can you try updating pyarrow ?\r\n```\r\npip install pyarrow --upgrade\r\n```",
"We should bump up the version test... | 2021-01-26T04:18:35 | 2024-07-07T17:55:12 | 2022-10-05T12:37:06 | NONE | null | null | null | null | I'm using Colab. And suddenly this morning, there is this error. Have a look below!
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https://api.github.com/repos/huggingface/datasets/issues/1777 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1777/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1777/comments | https://api.github.com/repos/huggingface/datasets/issues/1777/events | https://github.com/huggingface/datasets/issues/1777 | 793,273,770 | MDU6SXNzdWU3OTMyNzM3NzA= | 1,777 | GPT2 MNLI training using run_glue.py | {
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Running this on Google Colab,
```
!python run_glue.py \
--model_name_or_path gpt2 \
--task_name mnli \
--do_train \
--do_eval \
--max_seq_length 128 \
--per_gpu_train_batch_size 10 \
--gradient_accu... | {
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https://api.github.com/repos/huggingface/datasets/issues/1776 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1776/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1776/comments | https://api.github.com/repos/huggingface/datasets/issues/1776/events | https://github.com/huggingface/datasets/issues/1776 | 792,755,249 | MDU6SXNzdWU3OTI3NTUyNDk= | 1,776 | [Question & Bug Report] Can we preprocess a dataset on the fly? | {
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"We are very actively working on this. How does your dataset look like in practice (number/size/type of files)?",
"It's a text file with many lines (about 1B) of Chinese sentences. I use it to train language model using https://github.com/huggingface/transformers/blob/master/examples/language-modeling/run_mlm_wwm... | 2021-01-24T09:28:24 | 2021-05-20T04:15:58 | 2021-05-20T04:15:58 | NONE | null | null | null | null | I know we can use `Datasets.map` to preprocess a dataset, but I'm using it with very large corpus which generates huge cache file (several TB cache from a 400 GB text file). I have no disk large enough to save it. Can we preprocess a dataset on the fly without generating cache?
BTW, I tried raising `writer_batch_si... | {
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https://api.github.com/repos/huggingface/datasets/issues/1775 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1775/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1775/comments | https://api.github.com/repos/huggingface/datasets/issues/1775/events | https://github.com/huggingface/datasets/issues/1775 | 792,742,120 | MDU6SXNzdWU3OTI3NDIxMjA= | 1,775 | Efficient ways to iterate the dataset | {
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"It seems that selecting a subset of colums directly from the dataset, i.e., dataset[\"column\"], is slow.",
"I was wrong, ```dataset[\"column\"]``` is fast."
] | 2021-01-24T07:54:31 | 2021-01-24T09:50:39 | 2021-01-24T09:50:39 | CONTRIBUTOR | null | null | null | null | For a large dataset that does not fits the memory, how can I select only a subset of features from each example?
If I iterate over the dataset and then select the subset of features one by one, the resulted memory usage will be huge. Any ways to solve this?
Thanks | {
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