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https://api.github.com/repos/huggingface/datasets/issues/2070 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2070/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2070/comments | https://api.github.com/repos/huggingface/datasets/issues/2070/events | https://github.com/huggingface/datasets/issues/2070 | 833,799,035 | MDU6SXNzdWU4MzM3OTkwMzU= | 2,070 | ArrowInvalid issue for squad v2 dataset | {
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In the prepare_validation_features function, I made some modifications to tokenize a new set of quesions with the original co... | {
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"Hi ! This error happens when you use `map` in batched mode and then your function doesn't return the same number of values per column.\r\n\r\nIndeed since you're using `map` in batched mode, `prepare_validation_features` must take a batch as input (i.e. a dictionary of multiple rows of the dataset), and return a b... |
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"Maybe we should add some other split classes?"
] |
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```
File "main.py", line 34, in <module>
run_training()
File "main.py", line 25, in run_training
dm.setup('fit')
File "/opt/conda/lib/python3.6/site-packages/pytorch_lightning/core/datamodule.py", line 92, in wrapped_fn
return fn(*a... | {
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"cc @philschmid ",
"Hey @sivakhno,\r\n\r\nhow does your `requirements.txt` look like to install the `datasets` library and which version of it are you running? Can you try to install `datasets>=1.4.0`",
"Hi @philschmid - thanks for suggestion. I am using `datasets==1.4.1`. \r\nI have also tried using `torch=1.6... |
https://api.github.com/repos/huggingface/datasets/issues/2067 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2067/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2067/comments | https://api.github.com/repos/huggingface/datasets/issues/2067/events | https://github.com/huggingface/datasets/issues/2067 | 833,559,940 | MDU6SXNzdWU4MzM1NTk5NDA= | 2,067 | Multiprocessing windows error | {
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When using the num_proc argument on windows the whole Python environment crashes and hanging in loop.
For example at the map_to_array part.
An error occures because the cache file already exists and windows throws and error. After this the log c... | {
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"Hi ! Thanks for reporting.\r\nThis looks like a bug, could you try to provide a minimal code example that reproduces the issue ? This would be very helpful !\r\n\r\nOtherwise I can try to run the wav2vec2 code above on my side but probably not this week..",
"```\r\nfrom datasets import load_dataset\r\n\r\ndatase... |
https://api.github.com/repos/huggingface/datasets/issues/2066 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2066/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2066/comments | https://api.github.com/repos/huggingface/datasets/issues/2066/events | https://github.com/huggingface/datasets/pull/2066 | 833,480,551 | MDExOlB1bGxSZXF1ZXN0NTk0NDcwMjEz | 2,066 | Fix docstring rendering of Dataset/DatasetDict.from_csv args | {
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https://api.github.com/repos/huggingface/datasets/issues/2065 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2065/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2065/comments | https://api.github.com/repos/huggingface/datasets/issues/2065/events | https://github.com/huggingface/datasets/issues/2065 | 833,291,432 | MDU6SXNzdWU4MzMyOTE0MzI= | 2,065 | Only user permission of saved cache files, not group | {
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It seems when a cached file is saved from calling `dataset.map` for preprocessing, it gets the user permissions and none of the user's group permissions. As we share data files across members of our team, this is causing a bit of an issue as we have to continually reset the permission of the files. Do you kno... | {
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"Hi ! Thanks for reporting.\r\n\r\nCurrently there's no way to specify this.\r\n\r\nWhen loading/processing a dataset, the arrow file is written using a temporary file. Then once writing is finished, it's moved to the cache directory (using `shutil.move` [here](https://github.com/huggingface/datasets/blob/f6b8251eb... |
https://api.github.com/repos/huggingface/datasets/issues/2064 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2064/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2064/comments | https://api.github.com/repos/huggingface/datasets/issues/2064/events | https://github.com/huggingface/datasets/pull/2064 | 833,002,360 | MDExOlB1bGxSZXF1ZXN0NTk0MDczOTQ1 | 2,064 | Fix ted_talks_iwslt version error | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR fixes the bug where the version argument would be passed twice if the dataset configuration was created on the fly.
Fixes #2059 | {
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https://api.github.com/repos/huggingface/datasets/issues/2063 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2063/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2063/comments | https://api.github.com/repos/huggingface/datasets/issues/2063/events | https://github.com/huggingface/datasets/pull/2063 | 832,993,705 | MDExOlB1bGxSZXF1ZXN0NTk0MDY2NzI5 | 2,063 | [Common Voice] Adapt dataset script so that no manual data download is actually needed | {
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https://api.github.com/repos/huggingface/datasets/issues/2062 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2062/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2062/comments | https://api.github.com/repos/huggingface/datasets/issues/2062/events | https://github.com/huggingface/datasets/pull/2062 | 832,625,483 | MDExOlB1bGxSZXF1ZXN0NTkzNzUyNTMz | 2,062 | docs: fix missing quotation | {
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https://api.github.com/repos/huggingface/datasets/issues/2061 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2061/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2061/comments | https://api.github.com/repos/huggingface/datasets/issues/2061/events | https://github.com/huggingface/datasets/issues/2061 | 832,596,228 | MDU6SXNzdWU4MzI1OTYyMjg= | 2,061 | Cannot load udpos subsets from xtreme dataset using load_dataset() | {
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I am trying to load the udpos English subset from xtreme dataset, but this faces an error during loading. I am using datasets v1.4.1, pip install. I have tried with other udpos languages which also fail, though loading a different subset altogether (such as XNLI) has no issue. I have also tried on Colab and ... | {
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"@lhoestq Adding \"_\" to the class labels in the dataset script will fix the issue.\r\n\r\nThe bigger issue IMO is that the data files are in conll format, but the examples are tokens, not sentences.",
"Hi ! Thanks for reporting @adzcodez \r\n\r\n\r\n> @lhoestq Adding \"_\" to the class labels in the dataset scr... |
https://api.github.com/repos/huggingface/datasets/issues/2060 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2060/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2060/comments | https://api.github.com/repos/huggingface/datasets/issues/2060/events | https://github.com/huggingface/datasets/pull/2060 | 832,588,591 | MDExOlB1bGxSZXF1ZXN0NTkzNzIxNzcx | 2,060 | Filtering refactor | {
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} | fix https://github.com/huggingface/datasets/issues/2032
benchmarking is somewhat inconclusive, currently running on `book_corpus` with:
```python
bc = load_dataset("bookcorpus")
now = time.time()
bc.filter(lambda x: len(x["text"]) < 64)
elapsed = time.time() - now
print(elapsed)
```
t... | {
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"I thought at first that the multiproc test was not relevant now that we do stuff only in memory, but I think there's something that's actually broken, my tiny benchmark on bookcorpus runs forever (2hrs+) when I add `num_proc=4` as a kwarg, will investigate 👀 \r\n\r\nI'm not familiar with the caching you describe ... |
https://api.github.com/repos/huggingface/datasets/issues/2059 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2059/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2059/comments | https://api.github.com/repos/huggingface/datasets/issues/2059/events | https://github.com/huggingface/datasets/issues/2059 | 832,579,156 | MDU6SXNzdWU4MzI1NzkxNTY= | 2,059 | Error while following docs to load the `ted_talks_iwslt` dataset | {
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] | closed | false | null | [] | null | 2 | 2021-03-16T09:12:19Z | 2021-03-16T18:00:31Z | 2021-03-16T18:00:07Z | NONE | null | null | null | I am currently trying to load the `ted_talks_iwslt` dataset into google colab.
The [docs](https://huggingface.co/datasets/ted_talks_iwslt) mention the following way of doing so.
```python
dataset = load_dataset("ted_talks_iwslt", language_pair=("it", "pl"), year="2014")
```
Executing it results in the error ... | {
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"@skyprince999 as you authored the PR for this dataset, any comments?",
"This has been fixed in #2064 by @mariosasko (thanks again !)\r\n\r\nThe fix is available on the master branch and we'll do a new release very soon :)"
] |
https://api.github.com/repos/huggingface/datasets/issues/2058 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2058/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2058/comments | https://api.github.com/repos/huggingface/datasets/issues/2058/events | https://github.com/huggingface/datasets/issues/2058 | 832,159,844 | MDU6SXNzdWU4MzIxNTk4NDQ= | 2,058 | Is it possible to convert a `tfds` to HuggingFace `dataset`? | {
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I can also open a new issue reporting the bug I'm receiving with `datasets.load_dataset('c4','en')` ... | {
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"Hi! You can either save the TF dataset to one of the formats supported by datasets (`parquet`, `csv`, `json`, ...) or pass a generator function to `Dataset.from_generator` that yields its examples."
] |
https://api.github.com/repos/huggingface/datasets/issues/2057 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2057/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2057/comments | https://api.github.com/repos/huggingface/datasets/issues/2057/events | https://github.com/huggingface/datasets/pull/2057 | 832,120,522 | MDExOlB1bGxSZXF1ZXN0NTkzMzMzMjM0 | 2,057 | update link to ZEST dataset | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Updating the link as the original one is no longer working. | {
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https://api.github.com/repos/huggingface/datasets/issues/2056 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2056/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2056/comments | https://api.github.com/repos/huggingface/datasets/issues/2056/events | https://github.com/huggingface/datasets/issues/2056 | 831,718,397 | MDU6SXNzdWU4MzE3MTgzOTc= | 2,056 | issue with opus100/en-fr dataset | {
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I am running run_mlm.py code of huggingface repo with opus100/fr-en pair, I am getting this error, note that this error occurs for only this pairs and not the other pairs. Any idea why this is occurring? and how I can solve this?
Thanks a lot @lhoestq for your help in advance.
`
thread '<unnamed>' panicked... | {
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"@lhoestq I also deleted the cache and redownload the file and still the same issue, I appreciate any help on this. thanks ",
"Here please find the minimal code to reproduce the issue @lhoestq note this only happens with MT5TokenizerFast\r\n\r\n```\r\nfrom datasets import load_dataset\r\nfrom transformers impor... |
https://api.github.com/repos/huggingface/datasets/issues/2055 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2055/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2055/comments | https://api.github.com/repos/huggingface/datasets/issues/2055/events | https://github.com/huggingface/datasets/issues/2055 | 831,684,312 | MDU6SXNzdWU4MzE2ODQzMTI= | 2,055 | is there a way to override a dataset object saved with save_to_disk? | {
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"Hi\r\nYou can rename the arrow file and update the name in `state.json`",
"I tried this way, but when there is a mapping process to the dataset, it again uses a random cache name. atm, I am trying to use the following method by setting an exact cache file,\r\n\r\n```\r\n dataset_with_embedding =csv_da... |
https://api.github.com/repos/huggingface/datasets/issues/2054 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2054/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2054/comments | https://api.github.com/repos/huggingface/datasets/issues/2054/events | https://github.com/huggingface/datasets/issues/2054 | 831,597,665 | MDU6SXNzdWU4MzE1OTc2NjU= | 2,054 | Could not find file for ZEST dataset | {
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] | closed | false | null | [] | null | 4 | 2021-03-15T09:11:58Z | 2021-05-03T09:30:24Z | 2021-05-03T09:30:24Z | CONTRIBUTOR | null | null | null | I am trying to use zest dataset from Allen AI using below code in colab,
```
!pip install -q datasets
from datasets import load_dataset
dataset = load_dataset("zest")
```
I am getting the following error,
```
Using custom data configuration default
Downloading and preparing dataset zest/default (download: ... | {
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"The zest dataset url was changed (allenai/zest#3) and #2057 should resolve this.",
"This has been fixed in #2057 by @matt-peters (thanks again !)\r\n\r\nThe fix is available on the master branch and we'll do a new release very soon :)",
"Thanks @lhoestq and @matt-peters ",
"I am closing this issue since its ... |
https://api.github.com/repos/huggingface/datasets/issues/2053 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2053/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2053/comments | https://api.github.com/repos/huggingface/datasets/issues/2053/events | https://github.com/huggingface/datasets/pull/2053 | 831,151,728 | MDExOlB1bGxSZXF1ZXN0NTkyNTM4ODY2 | 2,053 | Add bAbI QA tasks | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | - **Name:** *The (20) QA bAbI tasks*
- **Description:** *The (20) QA bAbI tasks are a set of proxy tasks that evaluate reading comprehension via question answering. Our tasks measure understanding in several ways: whether a system is able to answer questions via chaining facts, simple induction, deduction and many mor... | {
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"Hi @lhoestq,\r\n\r\nShould I remove the 160 configurations? Is it too much?\r\n\r\nEDIT:\r\nCan you also check the task category? I'm not sure if there is an appropriate tag for the same.",
"Thanks for the changes !\r\n\r\n> Should I remove the 160 configurations? Is it too much?\r\n\r\nYea 160 configuration is ... |
https://api.github.com/repos/huggingface/datasets/issues/2052 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2052/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2052/comments | https://api.github.com/repos/huggingface/datasets/issues/2052/events | https://github.com/huggingface/datasets/issues/2052 | 831,135,704 | MDU6SXNzdWU4MzExMzU3MDQ= | 2,052 | Timit_asr dataset repeats examples | {
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When loading timit_asr dataset on datasets 1.4+, every row in the dataset is the same
Steps to reproduce
As an example, on this code there is the text from the training part:
Code snippet:
```
from datasets import load_dataset, load_metric
timit = load_dataset("timit_asr")
timit['train']['text']... | {
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"Hi,\r\n\r\nthis was fixed by #1995, so you can wait for the next release or install the package directly from the master branch with the following command: \r\n```bash\r\npip install git+https://github.com/huggingface/datasets\r\n```",
"Ty!"
] |
https://api.github.com/repos/huggingface/datasets/issues/2051 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2051/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2051/comments | https://api.github.com/repos/huggingface/datasets/issues/2051/events | https://github.com/huggingface/datasets/pull/2051 | 831,027,021 | MDExOlB1bGxSZXF1ZXN0NTkyNDQ2MDU1 | 2,051 | Add MDD Dataset | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | - **Name:** *MDD Dataset*
- **Description:** The Movie Dialog dataset (MDD) is designed to measure how well models can perform at goal and non-goal orientated dialog centered around the topic of movies (question answering, recommendation and discussion), from various movie reviews sources such as MovieLens and OMDb.
... | {
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"Hi @lhoestq,\r\n\r\nI have added changes from review.",
"Thanks for approving :)"
] |
https://api.github.com/repos/huggingface/datasets/issues/2050 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2050/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2050/comments | https://api.github.com/repos/huggingface/datasets/issues/2050/events | https://github.com/huggingface/datasets/issues/2050 | 831,006,551 | MDU6SXNzdWU4MzEwMDY1NTE= | 2,050 | Build custom dataset to fine-tune Wav2Vec2 | {
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] | closed | false | null | [] | null | 3 | 2021-03-13T22:01:10Z | 2021-03-15T09:27:28Z | 2021-03-15T09:27:28Z | NONE | null | null | null | Thank you for your recent tutorial on how to finetune Wav2Vec2 on a custom dataset. The example you gave here (https://huggingface.co/blog/fine-tune-xlsr-wav2vec2) was on the CommonVoice dataset. However, what if I want to load my own dataset? I have a manifest (transcript and their audio files) in a JSON file.
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"@lhoestq - We could simply use the \"general\" json dataset for this no? ",
"Sure you can use the json loader\r\n```python\r\ndata_files = {\"train\": \"path/to/your/train_data.json\", \"test\": \"path/to/your/test_data.json\"}\r\ntrain_dataset = load_dataset(\"json\", data_files=data_files, split=\"train\")\r\n... |
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | There are different tags for text classification right now: `text-classification` and `text_classification`:
.
This PR fixes it.
| {
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"LGTM, thanks for fixing."
] |
https://api.github.com/repos/huggingface/datasets/issues/2048 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2048/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2048/comments | https://api.github.com/repos/huggingface/datasets/issues/2048/events | https://github.com/huggingface/datasets/issues/2048 | 830,953,431 | MDU6SXNzdWU4MzA5NTM0MzE= | 2,048 | github is not always available - probably need a back up | {
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```
:/tmp$ wget https://raw.githubusercontent.com/huggingface/datasets/1.4.1/metrics/sacrebleu/sacrebleu.py--2021-03-12 18:35:59-- https://raw.githubusercontent.com/huggingface/datasets/1.4.1/metrics/sacrebleu/sacrebleu.py
Resolving raw.githubusercontent.com (raw.githubuser... | {
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https://api.github.com/repos/huggingface/datasets/issues/2047 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2047/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2047/comments | https://api.github.com/repos/huggingface/datasets/issues/2047/events | https://github.com/huggingface/datasets/pull/2047 | 830,626,430 | MDExOlB1bGxSZXF1ZXN0NTkyMTI2NzQ3 | 2,047 | Multilingual dIalogAct benchMark (miam) | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | My collaborators (@EmileChapuis, @PierreColombo) and I within the Affective Computing team at Telecom Paris would like to anonymously publish the miam dataset. It is assocated with a publication currently under review. We will update the dataset with full citations once the review period is over. | {
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"Hello. All aforementioned changes have been made. I've also re-run black on miam.py. :-)",
"I will run isort again. Hopefully it resolves the current check_code_quality test failure.",
"Once the review period is over, feel free to open a PR to add all the missing information ;)",
"Hi! I will follow up right ... |
https://api.github.com/repos/huggingface/datasets/issues/2046 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2046/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2046/comments | https://api.github.com/repos/huggingface/datasets/issues/2046/events | https://github.com/huggingface/datasets/issues/2046 | 830,423,033 | MDU6SXNzdWU4MzA0MjMwMzM= | 2,046 | add_faisis_index gets very slow when doing it interatively | {
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} | https://api.github.com/repos/huggingface/datasets/issues/2046/timeline | null | completed | 4,624 | false | [
"I think faiss automatically sets the number of threads to use to build the index.\r\nCan you check how many CPU cores are being used when you build the index in `use_own_knowleldge_dataset` as compared to this script ? Are there other programs running (maybe for rank>0) ?",
"Hi,\r\n I am running the add_faiss_in... |
https://api.github.com/repos/huggingface/datasets/issues/2045 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2045/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2045/comments | https://api.github.com/repos/huggingface/datasets/issues/2045/events | https://github.com/huggingface/datasets/pull/2045 | 830,351,527 | MDExOlB1bGxSZXF1ZXN0NTkxODc2Mjcz | 2,045 | Preserve column ordering in Dataset.rename_column | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Currently `Dataset.rename_column` doesn't necessarily preserve the order of the columns:
```python
>>> from datasets import Dataset
>>> d = Dataset.from_dict({'sentences': ["s1", "s2"], 'label': [0, 1]})
>>> d
Dataset({
features: ['sentences', 'label'],
num_rows: 2
})
>>> d.rename_column('sentences', '... | {
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"Not sure why CI isn't triggered.\r\n\r\n@lhoestq Can you please help me with this? ",
"I don't know how to trigger it manually, but an empty commit should do the job"
] |
https://api.github.com/repos/huggingface/datasets/issues/2044 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2044/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2044/comments | https://api.github.com/repos/huggingface/datasets/issues/2044/events | https://github.com/huggingface/datasets/pull/2044 | 830,339,905 | MDExOlB1bGxSZXF1ZXN0NTkxODY2NzM1 | 2,044 | Add CBT dataset | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR adds the [CBT Dataset](https://arxiv.org/abs/1511.02301).
Note that I have also added the `raw` dataset as a separate configuration. I couldn't find a suitable "task" for it in YAML tags.
The dummy files have one example each, as the examples are slightly big. For `raw` dataset, I just used top few lines,... | {
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"Hi @lhoestq,\r\n\r\nI have added changes from the review.",
"Thanks for approving @lhoestq "
] |
https://api.github.com/repos/huggingface/datasets/issues/2043 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2043/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2043/comments | https://api.github.com/repos/huggingface/datasets/issues/2043/events | https://github.com/huggingface/datasets/pull/2043 | 830,279,098 | MDExOlB1bGxSZXF1ZXN0NTkxODE1ODAz | 2,043 | Support pickle protocol for dataset splits defined as ReadInstruction | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fixes #2022 (+ some style fixes) | {
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} | https://api.github.com/repos/huggingface/datasets/issues/2043/timeline | null | null | 4,627 | true | [
"@lhoestq But we don't perform conversion to a `NamedSplit` if `_split` is not a string which means it **will** be a `ReadInstruction` after reloading.",
"Yes right ! I read it wrong.\r\nPerfect then"
] |
https://api.github.com/repos/huggingface/datasets/issues/2042 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2042/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2042/comments | https://api.github.com/repos/huggingface/datasets/issues/2042/events | https://github.com/huggingface/datasets/pull/2042 | 830,190,276 | MDExOlB1bGxSZXF1ZXN0NTkxNzQwNzQ3 | 2,042 | Fix arrow memory checks issue in tests | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | The tests currently fail on `master` because the arrow memory verification doesn't return the expected memory evolution when loading an arrow table in memory.
From my experiments, the tests fail only when the full test suite is ran.
This made me think that maybe some arrow objects from other tests were not freeing th... | {
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https://api.github.com/repos/huggingface/datasets/issues/2041 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2041/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2041/comments | https://api.github.com/repos/huggingface/datasets/issues/2041/events | https://github.com/huggingface/datasets/pull/2041 | 830,180,803 | MDExOlB1bGxSZXF1ZXN0NTkxNzMyNzMw | 2,041 | Doc2dial update data_infos and data_loaders | {
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https://api.github.com/repos/huggingface/datasets/issues/2040 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2040/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2040/comments | https://api.github.com/repos/huggingface/datasets/issues/2040/events | https://github.com/huggingface/datasets/issues/2040 | 830,169,387 | MDU6SXNzdWU4MzAxNjkzODc= | 2,040 | ValueError: datasets' indices [1] come from memory and datasets' indices [0] come from disk | {
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I am trying to concat two datasets that I've previously saved to disk via `save_to_disk()` like so (note that both are saved as `DataDict`, `PATH_DATA_CLS_*` are `Path`-objects):
```python
concatenate_datasets([load_from_disk(PATH_DATA_CLS_A)['train'], load_from_disk(PATH_DATA_CLS_B)['train']])
```
Yie... | {
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"Hi ! To help me understand the situation, can you print the values of `load_from_disk(PATH_DATA_CLS_A)['train']._indices_data_files` and `load_from_disk(PATH_DATA_CLS_B)['train']._indices_data_files` ?\r\nThey should both have a path to an arrow file\r\n\r\nAlso note that from #2025 concatenating datasets will no... |
https://api.github.com/repos/huggingface/datasets/issues/2039 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2039/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2039/comments | https://api.github.com/repos/huggingface/datasets/issues/2039/events | https://github.com/huggingface/datasets/pull/2039 | 830,047,652 | MDExOlB1bGxSZXF1ZXN0NTkxNjE3ODY3 | 2,039 | Doc2dial rc | {
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https://api.github.com/repos/huggingface/datasets/issues/2038 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2038/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2038/comments | https://api.github.com/repos/huggingface/datasets/issues/2038/events | https://github.com/huggingface/datasets/issues/2038 | 830,036,875 | MDU6SXNzdWU4MzAwMzY4NzU= | 2,038 | outdated dataset_infos.json might fail verifications | {
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Could you please update this file or point me how to update this file?
Thank you. | {
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"Hi ! Thanks for reporting.\r\n\r\nTo update the dataset_infos.json you can run:\r\n```\r\ndatasets-cli test ./datasets/doc2dial --all_configs --save_infos --ignore_verifications\r\n```",
"Fixed by #2041, thanks again @songfeng !"
] |
https://api.github.com/repos/huggingface/datasets/issues/2037 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2037/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2037/comments | https://api.github.com/repos/huggingface/datasets/issues/2037/events | https://github.com/huggingface/datasets/pull/2037 | 829,919,685 | MDExOlB1bGxSZXF1ZXN0NTkxNTA4MTQz | 2,037 | Fix: Wikipedia - save memory by replacing root.clear with elem.clear | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | see: https://github.com/huggingface/datasets/issues/2031
What I did:
- replace root.clear with elem.clear
- remove lines to get root element
- $ make style
- $ make test
- some tests required some pip packages, I installed them.
test results on origin/master and my branch are same. I think it's not related... | {
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"The error you got is minor and appeared in the last version of pyarrow, we'll fix the CI to take this into account. You can ignore it"
] |
https://api.github.com/repos/huggingface/datasets/issues/2036 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2036/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2036/comments | https://api.github.com/repos/huggingface/datasets/issues/2036/events | https://github.com/huggingface/datasets/issues/2036 | 829,909,258 | MDU6SXNzdWU4Mjk5MDkyNTg= | 2,036 | Cannot load wikitext | {
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```
>>> from datasets import load_dataset
>>> test_dataset = load_dataset("wikitext")
```
I got an error,any help?
```
Traceback (most recent call last):
File "<stdin>", line 1, in <module>
File "/home/xxx/anaconda3/envs/transformer/lib/python3.7/site-packages/datasets/load.p... | {
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"Solved!"
] |
https://api.github.com/repos/huggingface/datasets/issues/2035 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2035/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2035/comments | https://api.github.com/repos/huggingface/datasets/issues/2035/events | https://github.com/huggingface/datasets/issues/2035 | 829,475,544 | MDU6SXNzdWU4Mjk0NzU1NDQ= | 2,035 | wiki40b/wikipedia for almost all languages cannot be downloaded | {
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I am trying to download the data as below:
```
from datasets import load_dataset
dataset = load_dataset("wiki40b", "cs")
print(dataset)
```
I am getting this error. @lhoestq I will be grateful if you could assist me with this error. For almost all languages except english I am getting this error.
I rea... | {
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"Dear @lhoestq for wikipedia dataset I also get the same error, I greatly appreciate if you could have a look into this dataset as well. Below please find the command to reproduce the error:\r\n\r\n```\r\ndataset = load_dataset(\"wikipedia\", \"20200501.bg\")\r\nprint(dataset)\r\n```\r\n\r\nYour library is my only ... |
https://api.github.com/repos/huggingface/datasets/issues/2034 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2034/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2034/comments | https://api.github.com/repos/huggingface/datasets/issues/2034/events | https://github.com/huggingface/datasets/pull/2034 | 829,381,388 | MDExOlB1bGxSZXF1ZXN0NTkxMDU2MTEw | 2,034 | Fix typo | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Change `ENV_XDG_CACHE_HOME ` to `XDG_CACHE_HOME ` | {
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https://api.github.com/repos/huggingface/datasets/issues/2033 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2033/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2033/comments | https://api.github.com/repos/huggingface/datasets/issues/2033/events | https://github.com/huggingface/datasets/pull/2033 | 829,295,339 | MDExOlB1bGxSZXF1ZXN0NTkwOTgzMDAy | 2,033 | Raise an error for outdated sacrebleu versions | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | The `sacrebleu` metric seem to only work for sacrecleu>=1.4.12
For example using sacrebleu==1.2.10, an error is raised (from metric/sacrebleu/sacrebleu.py):
```python
def _compute(
self,
predictions,
references,
smooth_method="exp",
smooth_value=None,
force... | {
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https://api.github.com/repos/huggingface/datasets/issues/2032 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2032/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2032/comments | https://api.github.com/repos/huggingface/datasets/issues/2032/events | https://github.com/huggingface/datasets/issues/2032 | 829,250,912 | MDU6SXNzdWU4MjkyNTA5MTI= | 2,032 | Use Arrow filtering instead of writing a new arrow file for Dataset.filter | {
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"gists_ur... | null | 1 | 2021-03-11T15:18:50Z | 2024-01-19T13:26:32Z | 2024-01-19T13:26:32Z | MEMBER | null | null | null | Currently the filter method reads the dataset batch by batch to write a new, filtered, arrow file on disk. Therefore all the reading + writing can take some time.
Using a mask directly on the arrow table doesn't do any read or write operation therefore it's significantly quicker.
I think there are two cases:
- i... | {
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"Actually table.filter returns a new table in memory, which can fill users RAM.\r\n\r\nTherefore it's not a good solution if we want to keep supporting bigger than RAM datastes"
] |
https://api.github.com/repos/huggingface/datasets/issues/2031 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2031/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2031/comments | https://api.github.com/repos/huggingface/datasets/issues/2031/events | https://github.com/huggingface/datasets/issues/2031 | 829,122,778 | MDU6SXNzdWU4MjkxMjI3Nzg= | 2,031 | wikipedia.py generator that extracts XML doesn't release memory | {
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I found that the generator function that extracts XML data in wikipedia.py doesn't release memory in the loop.
https://github.com/huggingface/datasets/blob/13a5b7db992ad5cf77895e4c0f76595314390418/datasets/wikipedia/wikip... | {
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"Hi @miyamonz \r\nThanks for investigating this issue, good job !\r\nIt would be awesome to integrate your fix in the library, could you open a pull request ?",
"OK! I'll send it later."
] |
https://api.github.com/repos/huggingface/datasets/issues/2030 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2030/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2030/comments | https://api.github.com/repos/huggingface/datasets/issues/2030/events | https://github.com/huggingface/datasets/pull/2030 | 829,110,803 | MDExOlB1bGxSZXF1ZXN0NTkwODI4NzQ4 | 2,030 | Implement Dataset from text | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Implement `Dataset.from_text`.
Analogue to #1943, #1946. | {
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"I am wondering why only one test of \"keep_in_memory=True\" fails, when there are many other tests that test the same and it happens only in pyarrow_1..."
] |
https://api.github.com/repos/huggingface/datasets/issues/2029 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2029/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2029/comments | https://api.github.com/repos/huggingface/datasets/issues/2029/events | https://github.com/huggingface/datasets/issues/2029 | 829,097,290 | MDU6SXNzdWU4MjkwOTcyOTA= | 2,029 | Loading a faiss index KeyError | {
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] | closed | false | null | [] | null | 4 | 2021-03-11T12:16:13Z | 2021-03-12T00:21:09Z | 2021-03-12T00:21:09Z | NONE | null | null | null | I've recently been testing out RAG and DPR embeddings, and I've run into an issue that is not apparent in the documentation.
The basic steps are:
1. Create a dataset (dataset1)
2. Create an embeddings column using DPR
3. Add a faiss index to the dataset
4. Save faiss index to a file
5. Create a new dataset (d... | {
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https://api.github.com/repos/huggingface/datasets/issues/2028 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2028/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2028/comments | https://api.github.com/repos/huggingface/datasets/issues/2028/events | https://github.com/huggingface/datasets/pull/2028 | 828,721,393 | MDExOlB1bGxSZXF1ZXN0NTkwNDk1NzEx | 2,028 | Adding PersiNLU reading-comprehension | {
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"@lhoestq I think I have addressed all your comments. ",
"Thanks! @lhoestq Let me know if you want me to address anything to get this merged. ",
"It's all good thanks ;)\r\nmerging"
] | |
https://api.github.com/repos/huggingface/datasets/issues/2027 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2027/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2027/comments | https://api.github.com/repos/huggingface/datasets/issues/2027/events | https://github.com/huggingface/datasets/pull/2027 | 828,490,444 | MDExOlB1bGxSZXF1ZXN0NTkwMjkzNDA1 | 2,027 | Update format columns in Dataset.rename_columns | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Fixes #2026 | {
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https://api.github.com/repos/huggingface/datasets/issues/2026 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2026/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2026/comments | https://api.github.com/repos/huggingface/datasets/issues/2026/events | https://github.com/huggingface/datasets/issues/2026 | 828,194,467 | MDU6SXNzdWU4MjgxOTQ0Njc= | 2,026 | KeyError on using map after renaming a column | {
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"gists_url"... | [] | closed | false | null | [] | null | 3 | 2021-03-10T18:54:17Z | 2021-03-11T14:39:34Z | 2021-03-11T14:38:40Z | CONTRIBUTOR | null | null | null | Hi,
I'm trying to use `cifar10` dataset. I want to rename the `img` feature to `image` in order to make it consistent with `mnist`, which I'm also planning to use. By doing this, I was trying to avoid modifying `prepare_train_features` function.
Here is what I try:
```python
transform = Compose([ToPILImage(),... | {
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} | https://api.github.com/repos/huggingface/datasets/issues/2026/timeline | null | completed | 4,644 | false | [
"Hi,\r\n\r\nActually, the error occurs due to these two lines:\r\n```python\r\nraw_dataset.set_format('torch',columns=['img','label'])\r\nraw_dataset = raw_dataset.rename_column('img','image')\r\n```\r\n`Dataset.rename_column` doesn't update the `_format_columns` attribute, previously defined by `Dataset.set_format... |
https://api.github.com/repos/huggingface/datasets/issues/2025 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2025/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2025/comments | https://api.github.com/repos/huggingface/datasets/issues/2025/events | https://github.com/huggingface/datasets/pull/2025 | 828,047,476 | MDExOlB1bGxSZXF1ZXN0NTg5ODk2NjMz | 2,025 | [Refactor] Use in-memory/memory-mapped/concatenation tables in Dataset | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | ## Intro
Currently there is one assumption that we need to change: a dataset is either fully in memory (dataset._data_files is empty), or the dataset can be reloaded from disk with memory mapping (using the dataset._data_files).
This assumption is used for pickling for example:
- in-memory dataset can just be pick... | {
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} | https://api.github.com/repos/huggingface/datasets/issues/2025/timeline | null | null | 4,645 | true | [
"There is one more thing I would love to see. Let's say we iteratively keep updating a data source that loaded from **load_dataset** or **load_from_disk**. Now we need to save it to the same location by overriding the previous file inorder to save the disk space. At the moment **save_to_disk** can not assign a name... |
https://api.github.com/repos/huggingface/datasets/issues/2024 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2024/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2024/comments | https://api.github.com/repos/huggingface/datasets/issues/2024/events | https://github.com/huggingface/datasets/pull/2024 | 827,842,962 | MDExOlB1bGxSZXF1ZXN0NTg5NzEzNDAy | 2,024 | Remove print statement from mnist.py | {
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} | https://api.github.com/repos/huggingface/datasets/issues/2024/timeline | null | null | 4,646 | true | [
"Thanks for noticing !\r\n#2020 fixed this earlier today though ^^'\r\n\r\nClosing this one"
] | |
https://api.github.com/repos/huggingface/datasets/issues/2023 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2023/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2023/comments | https://api.github.com/repos/huggingface/datasets/issues/2023/events | https://github.com/huggingface/datasets/pull/2023 | 827,819,608 | MDExOlB1bGxSZXF1ZXN0NTg5NjkyNDU2 | 2,023 | Add Romanian to XQuAD | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | On Jan 18, XQuAD was updated with a new Romanian validation file ([xquad commit link](https://github.com/deepmind/xquad/commit/60cac411649156efb6aab9dd4c9cde787a2c0345))
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"Hi ! Thanks for updating XQUAD :)\r\n\r\nThe slow test is failing though since there's no dummy data nor metadata in dataset_infos.json for the romanian configuration.\r\n\r\nCould you please generate the dummy data with\r\n```\r\ndatasets-cli dummy_data ./datasets/xquad --auto_generate --json_field data\r\n```\r\... |
https://api.github.com/repos/huggingface/datasets/issues/2022 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2022/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2022/comments | https://api.github.com/repos/huggingface/datasets/issues/2022/events | https://github.com/huggingface/datasets/issues/2022 | 827,435,033 | MDU6SXNzdWU4Mjc0MzUwMzM= | 2,022 | ValueError when rename_column on splitted dataset | {
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I am loading `.tsv` file via `load_dataset` and subsequently split the rows into training and test set via the `ReadInstruction` API like so:
```python
split = {
'train': ReadInstruction('train', to=90, unit='%'),
'test': ReadInstruction('train', from_=-10, unit='%')
}
dataset = load_datase... | {
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} | https://api.github.com/repos/huggingface/datasets/issues/2022/timeline | null | completed | 4,648 | false | [
"Hi,\r\n\r\nThis is a bug so thanks for reporting it. `Dataset.__setstate__` is the problem, which is called when `Dataset.rename_column` tries to copy the dataset with `copy.deepcopy(self)`. This only happens if the `split` arg in `load_dataset` was defined as `ReadInstruction`.\r\n\r\nTo overcome this issue, use... |
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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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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"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."
] |
https://api.github.com/repos/huggingface/datasets/issues/2020 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2020/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2020/comments | https://api.github.com/repos/huggingface/datasets/issues/2020/events | https://github.com/huggingface/datasets/pull/2020 | 826,961,126 | MDExOlB1bGxSZXF1ZXN0NTg4OTE3MjYx | 2,020 | Remove unnecessary docstart check in conll-like datasets | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Related to this PR: #1998
Additionally, this PR adds the docstart note to the conll2002 dataset card ([link](https://raw.githubusercontent.com/teropa/nlp/master/resources/corpora/conll2002/ned.train) to the raw data with `DOCSTART` lines).
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https://api.github.com/repos/huggingface/datasets/issues/2019 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2019/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2019/comments | https://api.github.com/repos/huggingface/datasets/issues/2019/events | https://github.com/huggingface/datasets/pull/2019 | 826,625,706 | MDExOlB1bGxSZXF1ZXN0NTg4NjEyODgy | 2,019 | Replace print with logging in dataset scripts | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Replaces `print(...)` in the dataset scripts with the library logger. | {
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} | https://api.github.com/repos/huggingface/datasets/issues/2019/timeline | null | null | 4,651 | true | [
"@lhoestq Maybe a script or even a test in `test_dataset_common.py` that verifies that a dataset script meets some set of quality standards (print calls and todos from the dataset script template are not present, etc.) could be added?",
"Yes definitely !"
] |
https://api.github.com/repos/huggingface/datasets/issues/2018 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2018/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2018/comments | https://api.github.com/repos/huggingface/datasets/issues/2018/events | https://github.com/huggingface/datasets/pull/2018 | 826,473,764 | MDExOlB1bGxSZXF1ZXN0NTg4NDc0NTQz | 2,018 | Md gender card update | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | I updated the descriptions of the datasets as they appear in the HF repo and the descriptions of the source datasets according to what I could find from the paper and the references. I'm still a little unclear about some of the fields of the different configs, and there was little info on the word list and name list. I... | {
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"Link to the card: https://github.com/mcmillanmajora/datasets/blob/md-gender-card/datasets/md_gender_bias/README.md",
"dataset card* @sgugger :p ",
"Ahah that's what I wanted to say @lhoestq, thanks for fixing. Not used to review the Datasets side ;-)"
] |
https://api.github.com/repos/huggingface/datasets/issues/2017 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2017/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2017/comments | https://api.github.com/repos/huggingface/datasets/issues/2017/events | https://github.com/huggingface/datasets/pull/2017 | 826,428,578 | MDExOlB1bGxSZXF1ZXN0NTg4NDMyNDc2 | 2,017 | Add TF-based Features to handle different modes of data | {
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} | Hi,
I am creating this draft PR to work on add features similar to [TF datasets](https://github.com/tensorflow/datasets/tree/master/tensorflow_datasets/core/features). I'll be starting with `Tensor` and `FeatureConnector` classes, and build upon them to add other features as well. This is a work in progress. | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | The test at `tests/test_caching.py::RecurseDumpTest::test_dump_ipython_function` was failing in python 3.8 because the ipython function was not properly created.
Fix #2010 | {
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https://api.github.com/repos/huggingface/datasets/issues/2014 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2014/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2014/comments | https://api.github.com/repos/huggingface/datasets/issues/2014/events | https://github.com/huggingface/datasets/pull/2014 | 825,916,531 | MDExOlB1bGxSZXF1ZXN0NTg3OTY1NDg3 | 2,014 | more explicit method parameters | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | re: #2009
not super convinced this is better, and while I usually fight against kwargs here it seems to me that it better conveys the relationship to the `_split_generator` method. | {
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https://api.github.com/repos/huggingface/datasets/issues/2013 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2013/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2013/comments | https://api.github.com/repos/huggingface/datasets/issues/2013/events | https://github.com/huggingface/datasets/pull/2013 | 825,694,305 | MDExOlB1bGxSZXF1ZXN0NTg3NzYzMTgx | 2,013 | Add Cryptonite dataset | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | cc @aviaefrat who's the original author of the dataset & paper, see https://github.com/aviaefrat/cryptonite | {
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https://github.com/huggingface/datasets/blob/987df6b4e9e20fc0c92bc9df48137d170756fd7b/ADD_NEW_DATASET.md#L49-L54
There is no upstream branch on remote. | {
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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... |
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR adds a Romanian sentiment analysis dataset. This PR also closes pending PR #1529.
I had to add an `original_id` feature because the dataset files have repeated IDs. I can remove them if needed. I have also added `id` which is unique.
Let me know in case of any issues. | {
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"gists... | null | 3 | 2021-03-09T09:01:38Z | 2021-03-09T14:06:03Z | 2021-03-09T14:06:03Z | CONTRIBUTOR | 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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"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 ... |
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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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"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 ... |
https://api.github.com/repos/huggingface/datasets/issues/2008 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2008/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2008/comments | https://api.github.com/repos/huggingface/datasets/issues/2008/events | https://github.com/huggingface/datasets/pull/2008 | 825,153,804 | MDExOlB1bGxSZXF1ZXN0NTg3Mjc1Njk4 | 2,008 | Fix various typos/grammer in the docs | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | This PR:
* fixes various typos/grammer I came across while reading the docs
* adds the "Install with conda" installation instructions
Closes #1959 | {
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"What do yo think of the documentation btw ?\r\nWhat parts would you like to see improved ?",
"I like how concise and straightforward the docs are.\r\n\r\nFew things that would further improve the docs IMO:\r\n* the usage example of `Dataset.formatted_as` in https://huggingface.co/docs/datasets/master/processing.... |
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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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"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 ... |
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```
ERROR: 'dvc.lock' is git-ignored.
```
I removed the dvc.lock file from the gitignore to fix that | {
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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 = []
labe... | {
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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... |
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"@lhoestq all the changes requested are implemented. Thank you for your time and feedback :)"
] |
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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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"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... |
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"@lhoestq Thank you for all the feedback. I've added the suggested changes in my last commit."
] |
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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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"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."
] |
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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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"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\\... |
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"Hi @lhoestq,\r\n\r\nI have added the changes from the review."
] |
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} | Closes #1983 | {
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"Nice catch! Yes I didn't check the actual data, instead I was just looking for the `if line.startswith(\"-DOCSTART-\")` pattern."
] |
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] | closed | false | null | [] | null | 0 | 2021-03-06T15:50:19Z | 2021-03-06T16:13:26Z | 2021-03-06T16:13:26Z | NONE | null | null | null | I met the ImportError: cannot import name 'MoleculeDataset' from 'datasets'. Have anyone met the similar issues? Thanks! | {
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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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"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... |
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | When playing around with timit I noticed that only the first sample is used for all indices. I corrected this typo so that the dataset is correctly loaded. | {
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"cc @lhoestq @vrindaprabhu",
"Failing `run (push)` is unrelated -> merging",
"Thanks for fixing this, it was affecting my runs for https://github.com/huggingface/transformers/pull/10581/",
"I am seeing this very late! Sorry for the blunder everyone! :("
] |
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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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... | {
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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 ... |
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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When I save the dataset with **save_to_disk**, the original da... | {
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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... |
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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] | open | false | null | [] | null | 13 | 2021-03-05T02:10:02Z | 2023-06-08T12:31:55Z | null | NONE | 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... | {
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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... |
https://api.github.com/repos/huggingface/datasets/issues/1991 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1991/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1991/comments | https://api.github.com/repos/huggingface/datasets/issues/1991/events | https://github.com/huggingface/datasets/pull/1991 | 822,554,473 | MDExOlB1bGxSZXF1ZXN0NTg1MTYwNDkx | 1,991 | Adding the conllpp dataset | {
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"Thanks for the reviews! A note that I have addressed the comments, and waiting for a further review."
] |
https://api.github.com/repos/huggingface/datasets/issues/1990 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1990/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1990/comments | https://api.github.com/repos/huggingface/datasets/issues/1990/events | https://github.com/huggingface/datasets/issues/1990 | 822,384,502 | MDU6SXNzdWU4MjIzODQ1MDI= | 1,990 | OSError: Memory mapping file failed: Cannot allocate memory | {
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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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"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... |
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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This is the trace I get:
```
File "../../../models/tr-4.3.2/run_... | {
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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... |
https://api.github.com/repos/huggingface/datasets/issues/1988 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1988/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1988/comments | https://api.github.com/repos/huggingface/datasets/issues/1988/events | https://github.com/huggingface/datasets/issues/1988 | 822,324,605 | MDU6SXNzdWU4MjIzMjQ2MDU= | 1,988 | Readme.md is misleading about kinds of datasets? | {
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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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"Hi ! Yes it's possible to use image data. There are already a few of them available (MNIST, CIFAR..)"
] |
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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```
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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"It's reachable for the viewer and me, so I suppose it was down at that moment?"
] |
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758 # Extract manually downloaded files.
759 manual_files = dl_manager.extract(manual_paths_dict)
--> 760 e... | {
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"caching issue, seems to work again.."
] |
https://api.github.com/repos/huggingface/datasets/issues/1985 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1985/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1985/comments | https://api.github.com/repos/huggingface/datasets/issues/1985/events | https://github.com/huggingface/datasets/pull/1985 | 822,170,651 | MDExOlB1bGxSZXF1ZXN0NTg0ODM4NjIw | 1,985 | Optimize int precision | {
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Close #1973, close #1825, close #861. | {
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"@lhoestq, are the tests OK? Some other cases I missed? Do you agree with this approach?",
"I just tested this and it works like a charm :) \r\n\r\nHowever tokenizing and then setting the format to \"torch\" to feed the tokens into a model doesn't seem to work anymore, since the pytorch tensors have the int32/int... |
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."
] |
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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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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"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 ... |
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"I validated that this fixed the problem, thank you, @albertvillanova!\r\n",
"still facing the same issue or similar:\r\nfrom datasets import load_dataset\r\nwtm14_test = load_dataset('wmt14',\"de-en\",cache_dir='./datasets')\r\n\r\n~\\.cache\\huggingface\\modules\\datasets_modules\\datasets\\wmt14\\43e717d978d22... |
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```
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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"@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 ... |
https://api.github.com/repos/huggingface/datasets/issues/1980 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1980/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1980/comments | https://api.github.com/repos/huggingface/datasets/issues/1980/events | https://github.com/huggingface/datasets/pull/1980 | 821,312,810 | MDExOlB1bGxSZXF1ZXN0NTg0MTI1OTUy | 1,980 | Loading all answers from drop | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Hello all,
I propose this change to the DROP loading script so that all answers are loaded no matter their type. Currently, only "span" answers are loaded, which excludes a significant amount of answers from drop (i.e. "number" and "date").
I updated the script with the version I use for my work. However, I could... | {
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"Nice thanks for the change !\r\nThis looks all good to me\r\n\r\nBefore we merge can you just update the dataset_infos.json file of drop ? You can do it by running\r\n```\r\ndatasets-cli test ./datasets/drop --all_configs --save_infos --ignore_verifications\r\n```",
"Done!"
] |
https://api.github.com/repos/huggingface/datasets/issues/1979 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1979/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1979/comments | https://api.github.com/repos/huggingface/datasets/issues/1979/events | https://github.com/huggingface/datasets/pull/1979 | 820,977,853 | MDExOlB1bGxSZXF1ZXN0NTgzODQ3MTk3 | 1,979 | Add article_id and process test set template for semeval 2020 task 11… | {
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | … dataset
- `article_id` is needed to create the submission file for the task at https://propaganda.qcri.org/semeval2020-task11/
- The `technique classification` task provides the span indices in a template for the test set that is necessary to complete the task. This PR implements processing of that template for t... | {
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"Thanks !\r\nNow to fix the CI the only thing left is to add a dummy `test-task-tc-template.out` file inside the `dummy_data.zip` at `./datasets/sem_eval_2020_task_11/dummy/1.1.0`\r\nIt must contain the labels template for each dummy article of the test set included in `dummy_data.zip`\r\n\r\nAfter that we should b... |
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"@lhoestq thank you very much for the quick review and useful comments! \r\n\r\nI have tried to address them all, and a few comments that you left for ro_sts I have applied to the ro_sts_parallel as well (in read-me: fixed source_datasets, links to homepage, repository, leaderboard, thanks to me message, in ro_sts_... |
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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... | {
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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.... |
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cc @stas00 | {
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More info : https://github.com/sphinx-doc/sphinx/pull/2064
You can try here : https://29353-250213286-gh.circle-artifacts.com/0/docs/_build/html/index.html | {
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"following_url": "https://api.github.com/users/albertvillanova/following{/o... | null | 8 | 2021-03-02T14:35:53Z | 2021-03-30T14:03:59Z | 2021-03-16T09:44:00Z | NONE | 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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"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... |
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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"gist... | [] | closed | false | null | [] | null | 1 | 2021-03-02T08:01:49Z | 2022-06-01T16:08:47Z | 2022-06-01T16:08:47Z | NONE | null | null | null | '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"
] |
https://api.github.com/repos/huggingface/datasets/issues/1971 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1971/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1971/comments | https://api.github.com/repos/huggingface/datasets/issues/1971/events | https://github.com/huggingface/datasets/pull/1971 | 819,714,231 | MDExOlB1bGxSZXF1ZXN0NTgyNzgyNTU0 | 1,971 | Fix ArrowWriter closes stream at exit | {
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"diff_url": "https://github.com/huggingface/datasets/pull/1971.diff",
"html_url": "https://github.com/huggingface/datasets/pull/1971",
"merged_at": "2021-03-10T16:36:56Z",
"patch_url": "https://github.com/huggingface/datasets/pull/1971.patch",
"url": "https://api.github.com/repos/huggingface/datasets/pulls/... | Current implementation of ArrowWriter does not properly release the `stream` resource (by closing it) if its `finalize()` method is not called and/or an Exception is raised before/during the call to its `finalize()` method.
Therefore, ArrowWriter should be used as a context manager that properly closes its `stream` ... | {
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"Oh nice thanks for adding the context manager ! All the streams and RecordBatchWriter will be properly closed now. Hopefully this gives a better experience on windows on which it's super important to close stuff.\r\n\r\nNot sure about the error, it looks like a process crashed silently.\r\nLet me take a look",
"... |
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