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closed | 2021-06-23T19:26:55Z | null | https://api.github.com/repos/huggingface/datasets/issues/2543 | {
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"Hi @stas00, thanks for pointing out this issue with logging.\r\n\r\nI agree that `datasets` can sometimes be too verbose... I can create a PR and we could discuss there the choice of the log levels for different parts of the code."
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] | switching some low-level log.info's to log.debug? | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2543/timeline | In https://github.com/huggingface/transformers/pull/12276 we are now changing the examples to have `datasets` on the same log level as `transformers`, so that one setting can do a consistent logging across all involved components.
The trouble is that now we get a ton of these:
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06/23/2021 12:15:31 - INFO - da... | https://api.github.com/repos/huggingface/datasets | null | 928,571,915 | https://api.github.com/repos/huggingface/datasets/issues/2543/comments | MDU6SXNzdWU5Mjg1NzE5MTU= | null | 2,543 | https://api.github.com/repos/huggingface/datasets/issues/2543/events | false |
closed | 2021-06-23T18:41:16Z | null | https://api.github.com/repos/huggingface/datasets/issues/2542 | {
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"very much related: https://github.com/huggingface/datasets/pull/2333",
"Hi @VictorSanh, thank you for reporting this issue with duplicated keys.\r\n\r\n- The issue with \"adversarial_qa\" was fixed 23 days ago: #2433. Current version of `datasets` (1.8.0) includes the patch.\r\n- I am investigating the issue wit... | completed | [
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] | `datasets.keyhash.DuplicatedKeysError` for `drop` and `adversarial_qa/adversarialQA` | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2542/timeline | ## Describe the bug
Failure to generate the datasets (`drop` and subset `adversarialQA` from `adversarial_qa`) because of duplicate keys.
## Steps to reproduce the bug
```python
from datasets import load_dataset
load_dataset("drop")
load_dataset("adversarial_qa", "adversarialQA")
```
## Expected results
Th... | https://api.github.com/repos/huggingface/datasets | null | 928,540,382 | https://api.github.com/repos/huggingface/datasets/issues/2542/comments | MDU6SXNzdWU5Mjg1NDAzODI= | null | 2,542 | https://api.github.com/repos/huggingface/datasets/issues/2542/events | false |
closed | 2021-06-23T18:24:58Z | null | https://api.github.com/repos/huggingface/datasets/issues/2541 | null | {
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"The CI is failing because the dataset tags for `discofuse` are missing. I'm merging this PR since this is unrelated to this PR, but feel free to open another PR to add the tags here if you have some time:\r\n\r\nhttps://github.com/huggingface/datasets/blob/19408f9fab85c79b966085574cd2da3b90959179/datasets/discofus... | null | [] | update discofuse link cc @ekQ | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2541/timeline | Updating the discofuse link: https://github.com/google-research-datasets/discofuse/commit/fd4b120cb3dd19a417e7f3b5432010b574b5eeee | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-23T16:20:25Z | null | https://api.github.com/repos/huggingface/datasets/issues/2540 | null | {
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```python
from datasets import load_dataset
# `yelp_polarity` comes with a `Tex... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-23T07:35:32Z | null | https://api.github.com/repos/huggingface/datasets/issues/2539 | null | {
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"Hi ! I'm sorry to hear that.\r\nThough we are not redistributing the dataset, we just provide a python script that downloads and process the dataset from its original source hosted at https://www.cl.cam.ac.uk\r\n\r\nTherefore I'm not sure what's the issue with licensing. What do you mean exactly ?",
"I think tha... | null | [] | remove wi_locness dataset due to licensing issues | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2539/timeline | It was brought to my attention that this dataset's license is not only missing, but also prohibits redistribution. I contacted the original author to apologize for this oversight and asked if we could still use it, but unfortunately we can't and the author kindly asked to take down this dataset. | https://api.github.com/repos/huggingface/datasets | {
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open | 2021-06-23T07:19:52Z | null | https://api.github.com/repos/huggingface/datasets/issues/2538 | null | {
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"Hi ! `load_dataset` downloads the full dataset once and caches it, so that subsequent calls to `load_dataset` just reloads the dataset from your disk.\r\nThen when you specify a `split` in `load_dataset`, it will just load the requested split from the disk. If your specified split is a sliced split (e.g. `\"train[... | null | [] | Loading partial dataset when debugging | NONE | https://api.github.com/repos/huggingface/datasets/issues/2538/timeline | I am using PyTorch Lightning along with datasets (thanks for so many datasets already prepared and the great splits).
Every time I execute load_dataset for the imdb dataset it takes some time even if I specify a split involving very few samples. I guess this due to hashing as per the other issues.
Is there a wa... | https://api.github.com/repos/huggingface/datasets | null | 927,940,691 | https://api.github.com/repos/huggingface/datasets/issues/2538/comments | MDU6SXNzdWU5Mjc5NDA2OTE= | null | 2,538 | https://api.github.com/repos/huggingface/datasets/issues/2538/events | false |
closed | 2021-06-22T17:28:23Z | null | https://api.github.com/repos/huggingface/datasets/issues/2537 | null | {
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"`pyarrow` 1.0.0 doesn't support some types in parquet, we'll have to bump its minimum version.\r\n\r\nAlso I still need to add dummy data to test the parquet builder.",
"I had to bump the minimum pyarrow version to 3.0.0 to properly support parquet.\r\n\r\nEverything is ready for review now :)\r\nI reused pretty... | null | [] | Add Parquet loader + from_parquet and to_parquet | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2537/timeline | Continuation of #2247
I added a "parquet" dataset builder, as well as the methods `Dataset.from_parquet` and `Dataset.to_parquet`.
As usual, the data are converted to arrow in a batched way to avoid loading everything in memory. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-22T15:07:21Z | null | https://api.github.com/repos/huggingface/datasets/issues/2536 | {
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"I'm just retaking and working on #2324. 😉 ",
"Resolved via https://github.com/huggingface/datasets/pull/4006."
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] | Use `Audio` features for `AutomaticSpeechRecognition` task template | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2536/timeline | In #2533 we added a task template for speech recognition that relies on the file paths to the audio files. As pointed out by @SBrandeis this is brittle as it doesn't port easily across different OS'.
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"Nice thanks ! I think there are other places with\r\n```python\r\nnot_verbose = bool(logger.getEffectiveLevel() > WARNING)\r\n```\r\n\r\nCould you replace them as well ?",
"Sure @lhoestq! I was not sure if this change should only be circumscribed to `http_get`..."
] | null | [] | Sync with transformers disabling NOTSET | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2534/timeline | Close #2528. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-22T12:45:02Z | null | https://api.github.com/repos/huggingface/datasets/issues/2533 | null | {
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"@SBrandeis @lhoestq i've integrated your suggestions, so this is ready for another review :)",
"Merging if it's good for you @lewtun :)"
] | null | [] | Add task template for automatic speech recognition | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2533/timeline | This PR adds a task template for automatic speech recognition. In this task, the input is a path to an audio file which the model consumes to produce a transcription.
Usage:
```python
from datasets import load_dataset
from datasets.tasks import AutomaticSpeechRecognition
ds = load_dataset("timit_asr", split=... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-22T10:08:18Z | null | https://api.github.com/repos/huggingface/datasets/issues/2532 | null | {
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"Hi @jerryIsHere, thanks for reporting the issue. But are you sure this is a bug in HuggingFace **Datasets**?",
"> Hi @jerryIsHere, thanks for reporting the issue. But are you sure this is a bug in HuggingFace **Datasets**?\r\n\r\nOh, I am sorry\r\nI would reopen the post on huggingface/transformers"
] | completed | [
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] | Tokenizer's normalization preprocessor cause misalignment in return_offsets_mapping for tokenizer classification task | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2532/timeline | [This colab notebook](https://colab.research.google.com/drive/151gKyo0YIwnlznrOHst23oYH_a3mAe3Z?usp=sharing) implements a token classification input pipeline extending the logic from [this hugging example](https://huggingface.co/transformers/custom_datasets.html#tok-ner).
The pipeline works fine with most instance i... | https://api.github.com/repos/huggingface/datasets | null | 927,063,196 | https://api.github.com/repos/huggingface/datasets/issues/2532/comments | MDU6SXNzdWU5MjcwNjMxOTY= | null | 2,532 | https://api.github.com/repos/huggingface/datasets/issues/2532/events | false |
closed | 2021-06-22T09:17:10Z | null | https://api.github.com/repos/huggingface/datasets/issues/2531 | null | {
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However it happens that `1.8.0 > 1.8.0.dev0` for example.
Therefore we need to use `1.8.1.dev0` for example in this case.
I updated the dev version to use `1.8.1.dev0`, and I also added a comment in the setup.py in the release steps a... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-22T09:12:45Z | null | https://api.github.com/repos/huggingface/datasets/issues/2530 | null | {
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"@lhoestq, can you please review this PR?\r\nWhat exactly is the problem in the test case? Should it matter?",
"Hi ! Thanks for fixing this :)\r\n\r\nThe CI fails for two reasons:\r\n- the `pretty_name` tag is missing in yaml tags in ./datasets/turkish_product_reviews/README.md. You can fix that by adding this in... | null | [] | Fixed label parsing in the ProductReviews dataset | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2530/timeline | Fixed issue with parsing dataset labels. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-21T16:08:31Z | null | https://api.github.com/repos/huggingface/datasets/issues/2529 | null | {
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"> Nice thanks !\r\n> Could you just move the test outside of the BaseDatasetTest class please ? Otherwise it will unnecessarily be run twice.\r\n\r\nsure, on it! thanks for the explanations about the `self._to` method :)",
"@lhoestq i've moved all the task template tests outside of `BaseDatasetTest` and collecte... | null | [] | Add summarization template | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2529/timeline | This PR adds a task template for text summarization. As far as I can tell, we do not need to distinguish between "extractive" or "abstractive" summarization - both can be handled with this template.
Usage:
```python
from datasets import load_dataset
from datasets.tasks import Summarization
ds = load_dataset(... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-21T15:04:54Z | null | https://api.github.com/repos/huggingface/datasets/issues/2528 | {
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"Hi @joshzwiebel, thanks for reporting. We are going to align with `transformers`."
] | completed | [
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] | Logging cannot be set to NOTSET similar to transformers | NONE | https://api.github.com/repos/huggingface/datasets/issues/2528/timeline | ## Describe the bug
In the transformers library you can set the verbosity level to logging.NOTSET to work around the usage of tqdm and IPywidgets, however in Datasets this is no longer possible. This is because transformers set the verbosity level of tqdm with [this](https://github.com/huggingface/transformers/blob/b5... | https://api.github.com/repos/huggingface/datasets | null | 926,314,656 | https://api.github.com/repos/huggingface/datasets/issues/2528/comments | MDU6SXNzdWU5MjYzMTQ2NTY= | null | 2,528 | https://api.github.com/repos/huggingface/datasets/issues/2528/events | false |
closed | 2021-06-21T09:42:35Z | null | https://api.github.com/repos/huggingface/datasets/issues/2527 | null | {
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This resulted in unexpected results when searching for datasets bigger than 1M on the hub, since it was only showing the ones with the tag `n>1M`. | https://api.github.com/repos/huggingface/datasets | {
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open | 2021-06-21T07:48:32Z | null | https://api.github.com/repos/huggingface/datasets/issues/2526 | {
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"I'm currently adding it, the entire dataset is quite big around 30 GB so I add splits separately. You can take a look here https://huggingface.co/datasets/merve/coco",
"I talked to @lhoestq and it's best if I download this dataset through TensorFlow datasets instead, so I'll be implementing that one really soon.... | null | [
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"color": "bfdadc",... | Add COCO datasets | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2526/timeline | ## Adding a Dataset
- **Name:** COCO
- **Description:** COCO is a large-scale object detection, segmentation, and captioning dataset.
- **Paper + website:** https://cocodataset.org/#home
- **Data:** https://cocodataset.org/#download
- **Motivation:** It would be great to have COCO available in HuggingFace datasets... | https://api.github.com/repos/huggingface/datasets | null | 925,929,228 | https://api.github.com/repos/huggingface/datasets/issues/2526/comments | MDU6SXNzdWU5MjU5MjkyMjg= | null | 2,526 | https://api.github.com/repos/huggingface/datasets/issues/2526/events | false |
closed | 2021-06-21T07:04:25Z | null | https://api.github.com/repos/huggingface/datasets/issues/2525 | null | {
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Note: this affects only TESTS_REQUIRE so I guess only developers not end users. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-20T14:25:11Z | null | https://api.github.com/repos/huggingface/datasets/issues/2524 | null | {
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"Hi ! Could you clarify what it fixes exactly and give more details please ? Especially why this is related to the windows hanging error ?",
"This has already been merged, but I'll clarify the idea of this PR. Before this merge, FileLock was the only component affected by the max path limit on Windows (that came ... | null | [] | Raise FileNotFoundError in WindowsFileLock | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2524/timeline | Closes #2443 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-19T15:56:32Z | null | https://api.github.com/repos/huggingface/datasets/issues/2523 | null | {
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closed | 2021-06-19T07:08:57Z | null | https://api.github.com/repos/huggingface/datasets/issues/2522 | null | {
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"Hi,\r\n\r\nthis issue has been already reported in the dataset repo (https://github.com/dair-ai/emotion_dataset/issues/2), so this is a bug on their side.",
"The documentation has another bug in the dataset card [here](https://huggingface.co/datasets/emotion). \r\n\r\nIn the dataset summary **six** emotions are ... | completed | [
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] | Documentation Mistakes in Dataset: emotion | NONE | https://api.github.com/repos/huggingface/datasets/issues/2522/timeline | As per documentation,
Dataset: emotion
Homepage: https://github.com/dair-ai/emotion_dataset
Dataset: https://github.com/huggingface/datasets/blob/master/datasets/emotion/emotion.py
Permalink: https://huggingface.co/datasets/viewer/?dataset=emotion
Emotion is a dataset of English Twitter messages with eight b... | https://api.github.com/repos/huggingface/datasets | null | 925,334,379 | https://api.github.com/repos/huggingface/datasets/issues/2522/comments | MDU6SXNzdWU5MjUzMzQzNzk= | null | 2,522 | https://api.github.com/repos/huggingface/datasets/issues/2522/events | false |
closed | 2021-06-18T15:56:19Z | null | https://api.github.com/repos/huggingface/datasets/issues/2521 | null | {
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closed | 2021-06-18T15:33:57Z | null | https://api.github.com/repos/huggingface/datasets/issues/2520 | null | {
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"The `task_templates` API is deprecated in favor of the `train-eval-index` YAML field, so I'm closing this issue."
] | completed | [
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] | Datasets with tricky task templates | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2520/timeline | I'm collecting a list of datasets here that don't follow the "standard" taxonomy and require further investigation to implement task templates for.
## Text classification
* [hatexplain](https://huggingface.co/datasets/hatexplain): ostensibly a form of text classification, but not in the standard `(text, target)` ... | https://api.github.com/repos/huggingface/datasets | null | 925,015,004 | https://api.github.com/repos/huggingface/datasets/issues/2520/comments | MDU6SXNzdWU5MjUwMTUwMDQ= | null | 2,520 | https://api.github.com/repos/huggingface/datasets/issues/2520/events | false |
closed | 2021-06-18T13:24:41Z | null | https://api.github.com/repos/huggingface/datasets/issues/2519 | null | {
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"Looks like this change\r\n```\r\npa_table[pa_table.column_names[0]].to_pandas(types_mapper=pandas_types_mapper)\r\n```\r\ndoesn't return a Series with the correct type.\r\nThis is related to https://issues.apache.org/jira/browse/ARROW-9664\r\n\r\nSince the types_mapper isn't taken into account, the ArrayXD types a... | null | [] | Improve performance of pandas arrow extractor | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2519/timeline | While reviewing PR #2505, I noticed that pandas arrow extractor could be refactored to be faster. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-18T08:06:34Z | null | https://api.github.com/repos/huggingface/datasets/issues/2518 | null | {
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"Just tested TydiQA and it works fine :)"
] | null | [] | Add task templates for tydiqa and xquad | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2518/timeline | This PR adds question-answering templates to the remaining datasets that are linked to a model on the Hub.
Notes:
* I could not test the tydiqa implementation since I don't have enough disk space 😢 . But I am confident the template works :)
* there exist other datasets like `fquad` and `mlqa` which are candida... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-18T07:53:06Z | null | https://api.github.com/repos/huggingface/datasets/issues/2517 | null | {
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open | 2021-06-18T06:47:26Z | null | https://api.github.com/repos/huggingface/datasets/issues/2516 | null | {
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"Hi ! `map` calls `__getstate__` using `dill` to hash your map function. This is used by the caching mechanism to recover previously computed results. That's why you don't see any `__setstate__` call.\r\n\r\nWhy do you change an attribute of your tokenizer when `__getstate__` is called ?",
"@lhoestq because if I ... | null | [
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] | datasets.map pickle issue resulting in invalid mapping function | NONE | https://api.github.com/repos/huggingface/datasets/issues/2516/timeline | I trained my own tokenizer, and I needed to use a python custom class. Because of this I have to detach the custom step before saving and reattach after restore. I did this using the standard pickle `__get_state__` / `__set_state__` mechanism. I think it's correct but it fails when I use it inside a function which is m... | https://api.github.com/repos/huggingface/datasets | null | 924,597,470 | https://api.github.com/repos/huggingface/datasets/issues/2516/comments | MDU6SXNzdWU5MjQ1OTc0NzA= | null | 2,516 | https://api.github.com/repos/huggingface/datasets/issues/2516/events | false |
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open | 2021-06-17T23:35:38Z | null | https://api.github.com/repos/huggingface/datasets/issues/2514 | null | {
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"Hi ! For now this is probably the best option.\r\nWe might add a feature like this in the feature as well.\r\n\r\nDo you know any deduplication method that works on arbitrary big datasets without filling up RAM ?\r\nOtherwise we can have do the deduplication in memory like pandas but I feel like this is going to b... | null | [
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i find myself more and more relying on datasets just to do all the preprocessing. One thing however, for removing duplicated rows, I couldn't find out how and am always converting datasets to pandas to do that..
**Describe the solution you'd like*... | https://api.github.com/repos/huggingface/datasets | null | 924,417,172 | https://api.github.com/repos/huggingface/datasets/issues/2514/comments | MDU6SXNzdWU5MjQ0MTcxNzI= | null | 2,514 | https://api.github.com/repos/huggingface/datasets/issues/2514/events | false |
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"Hi @colbym-MM, thanks for reporting. We are fixing it."
] | completed | [] | Corelation should be Correlation | NONE | https://api.github.com/repos/huggingface/datasets/issues/2513/timeline | https://github.com/huggingface/datasets/blob/0e87e1d053220e8ecddfa679bcd89a4c7bc5af62/metrics/matthews_correlation/matthews_correlation.py#L66 | https://api.github.com/repos/huggingface/datasets | null | 924,174,413 | https://api.github.com/repos/huggingface/datasets/issues/2513/comments | MDU6SXNzdWU5MjQxNzQ0MTM= | null | 2,513 | https://api.github.com/repos/huggingface/datasets/issues/2513/events | false |
closed | 2021-06-17T15:36:02Z | null | https://api.github.com/repos/huggingface/datasets/issues/2512 | null | {
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"Sorry, I was using an old version of sequeval"
] | completed | [
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] | seqeval metric does not work with a recent version of sklearn: classification_report() got an unexpected keyword argument 'output_dict' | NONE | https://api.github.com/repos/huggingface/datasets/issues/2512/timeline | ## Describe the bug
A clear and concise description of what the bug is.
## Steps to reproduce the bug
```python
from datasets import load_dataset, load_metric
seqeval = load_metric("seqeval")
seqeval.compute(predictions=[['A']], references=[['A']])
```
## Expected results
The function computes a dict with ... | https://api.github.com/repos/huggingface/datasets | null | 924,069,353 | https://api.github.com/repos/huggingface/datasets/issues/2512/comments | MDU6SXNzdWU5MjQwNjkzNTM= | null | 2,512 | https://api.github.com/repos/huggingface/datasets/issues/2512/events | false |
closed | 2021-06-17T10:31:04Z | null | https://api.github.com/repos/huggingface/datasets/issues/2511 | {
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"Update on this: I'm computing the checksums of the data files. It will be available soon",
"Added in #2575 :)"
] | completed | [
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] | Add C4 | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2511/timeline | ## Adding a Dataset
- **Name:** *C4*
- **Description:** *https://github.com/allenai/allennlp/discussions/5056*
- **Paper:** *https://arxiv.org/abs/1910.10683*
- **Data:** *https://huggingface.co/datasets/allenai/c4*
- **Motivation:** *Used a lot for pretraining*
Instructions to add a new dataset can be found [h... | https://api.github.com/repos/huggingface/datasets | null | 923,762,133 | https://api.github.com/repos/huggingface/datasets/issues/2511/comments | MDU6SXNzdWU5MjM3NjIxMzM= | null | 2,511 | https://api.github.com/repos/huggingface/datasets/issues/2511/events | false |
closed | 2021-06-17T10:03:35Z | null | https://api.github.com/repos/huggingface/datasets/issues/2510 | null | {
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In this PR I also added `DatasetDict.align_labels_with_mapping` | https://api.github.com/repos/huggingface/datasets | {
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"Windows, why are you doing this to me ?",
"Thanks @lhoestq, I'm starting reviewing this PR.",
"Yea issues on windows are about long paths, not long filenames.\r\nWe can make sure the lock filenames are not too long, but not for the paths",
"Took your suggestions into account @albertvillanova :)"
] | null | [] | Fix fingerprint when moving cache dir | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2509/timeline | The fingerprint of a dataset changes if the cache directory is moved.
I fixed that by setting the fingerprint to be the hash of:
- the relative cache dir (dataset_name/version/config_id)
- the requested split
Close #2496
I had to fix an issue with the filelock filename that was too long (>255). It prevented t... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-15T22:43:33Z | null | https://api.github.com/repos/huggingface/datasets/issues/2508 | {
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"Hi ! Is this folder structure a standard, a bit like imagenet ?\r\nIn this case maybe we can consider having a dataset loader for cifar-like, imagenet-like, squad-like, conll-like etc. datasets ?\r\n```python\r\nfrom datasets import load_dataset\r\n\r\nmy_custom_cifar = load_dataset(\"cifar_like\", data_dir=\"path... | completed | [
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Yes - we would like to load an image classification dataset with datasets without having to write a custom data loader.
**Describe the solution you'd like**
Given a folder structure with images of each class in each folder, the ability to load th... | https://api.github.com/repos/huggingface/datasets | null | 921,863,173 | https://api.github.com/repos/huggingface/datasets/issues/2508/comments | MDU6SXNzdWU5MjE4NjMxNzM= | null | 2,508 | https://api.github.com/repos/huggingface/datasets/issues/2508/events | false |
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Close #2366. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-15T14:03:54Z | null | https://api.github.com/repos/huggingface/datasets/issues/2506 | null | {
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closed | 2021-06-15T10:11:32Z | null | https://api.github.com/repos/huggingface/datasets/issues/2505 | null | {
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"Looks like we have a nice speed up in some benchmarks. For example:\r\n- `read_formatted numpy 5000`: 4.584777 sec -> 0.487113 sec\r\n- `read_formatted torch 5000`: 4.565676 sec -> 1.289514 sec",
"Can we convert this draft to PR @lhoestq ?",
"Ready for review ! cc @vblagoje",
"@lhoestq I tried the branch a... | null | [] | Make numpy arrow extractor faster | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2505/timeline | I changed the NumpyArrowExtractor to call directly to_numpy and see if it can lead to speed-ups as discussed in https://github.com/huggingface/datasets/issues/2498
This could make the numpy/torch/tf/jax formatting faster | https://api.github.com/repos/huggingface/datasets | {
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open | 2021-06-14T17:42:46Z | null | https://api.github.com/repos/huggingface/datasets/issues/2503 | {
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"Hi @arnaudstiegler, thanks for reporting. I'm investigating it.",
"@arnaudstiegler I have just checked that these mismatches are already present in the original dataset: https://github.com/megagonlabs/SubjQA\r\n\r\nWe are going to contact the dataset owners to report this.",
"I have:\r\n- opened an issue in th... | null | [
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] | SubjQA wrong boolean values in entries | NONE | https://api.github.com/repos/huggingface/datasets/issues/2503/timeline | ## Describe the bug
SubjQA seems to have a boolean that's consistently wrong.
It defines:
- question_subj_level: The subjectiviy level of the question (on a 1 to 5 scale with 1 being the most subjective).
- is_ques_subjective: A boolean subjectivity label derived from question_subj_level (i.e., scores below 4 are... | https://api.github.com/repos/huggingface/datasets | null | 920,636,186 | https://api.github.com/repos/huggingface/datasets/issues/2503/comments | MDU6SXNzdWU5MjA2MzYxODY= | null | 2,503 | https://api.github.com/repos/huggingface/datasets/issues/2503/events | false |
closed | 2021-06-14T17:24:23Z | null | https://api.github.com/repos/huggingface/datasets/issues/2502 | null | {
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I just added the "jax" formatting, as we already have for pytorch, tensorflow, numpy (and also pandas and arrow).
It does pretty much the same thing as the pytorch formatter except it creates jax.numpy.ndarray objects.
```python
from datasets import Dataset
d = Dataset.from_dict({"foo": [[0., 1., 2.]]})... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-14T16:28:12Z | null | https://api.github.com/repos/huggingface/datasets/issues/2501 | null | {
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Close #2472. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-14T14:27:45Z | null | https://api.github.com/repos/huggingface/datasets/issues/2500 | null | {
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"Hi @mariosasko, thanks for taking on this issue.\r\n\r\nJust a few logistic suggestions, as you are one of our most active contributors ❤️ :\r\n- When you start working on an issue, you can self-assign it to you by commenting on the issue page with the keyword: `#self-assign`; we have implemented a GitHub Action t... | null | [] | Add load_dataset_builder | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2500/timeline | Adds the `load_dataset_builder` function. The good thing is that we can reuse this function to load the dataset info without downloading the dataset itself.
TODOs:
- [x] Add docstring and entry in the docs
- [x] Add tests
Closes #2484
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open | 2021-06-14T13:27:18Z | null | https://api.github.com/repos/huggingface/datasets/issues/2499 | null | {
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"👀 @TalSchuster",
"Thanks @VictorSanh!\r\nThere's also a [notebook](https://aka.ms/python_puzzles) and [demo](https://aka.ms/python_puzzles_study) available now to try out some of the puzzles"
] | null | [
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] | Python Programming Puzzles | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2499/timeline | ## Adding a Dataset
- **Name:** Python Programming Puzzles
- **Description:** Programming challenge called programming puzzles, as an objective and comprehensive evaluation of program synthesis
- **Paper:** https://arxiv.org/pdf/2106.05784.pdf
- **Data:** https://github.com/microsoft/PythonProgrammingPuzzles ([Scro... | https://api.github.com/repos/huggingface/datasets | null | 920,413,021 | https://api.github.com/repos/huggingface/datasets/issues/2499/comments | MDU6SXNzdWU5MjA0MTMwMjE= | null | 2,499 | https://api.github.com/repos/huggingface/datasets/issues/2499/events | false |
open | 2021-06-14T13:25:24Z | null | https://api.github.com/repos/huggingface/datasets/issues/2498 | null | {
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"That’s interesting thanks, let’s see what we can do. Can you detail your last sentence? I’m not sure I understand it well.",
"Hi ! I just re-ran a quick benchmark and using `to_numpy()` seems to be faster now:\r\n\r\n```python\r\nimport pyarrow as pa # I used pyarrow 3.0.0\r\nimport numpy as np\r\n\r\nn, max_le... | null | [
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] | Improve torch formatting performance | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2498/timeline | **Is your feature request related to a problem? Please describe.**
It would be great, if possible, to further improve read performance of raw encoded datasets and their subsequent conversion to torch tensors.
A bit more background. I am working on LM pre-training using HF ecosystem. We use encoded HF Wikipedia an... | https://api.github.com/repos/huggingface/datasets | null | 920,411,285 | https://api.github.com/repos/huggingface/datasets/issues/2498/comments | MDU6SXNzdWU5MjA0MTEyODU= | null | 2,498 | https://api.github.com/repos/huggingface/datasets/issues/2498/events | false |
closed | 2021-06-14T10:02:47Z | null | https://api.github.com/repos/huggingface/datasets/issues/2497 | null | {
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"I believe we don't use PyArrow >= 4.0.0 because of some segfault issues:\r\nhttps://github.com/huggingface/datasets/blob/1206ffbcd42dda415f6bfb3d5040708f50413c93/setup.py#L78\r\nCan you confirm @lhoestq ?",
"@SBrandeis pyarrow version 4.0.1 has fixed that issue: #2489 😉 "
] | null | [] | Use default cast for sliced list arrays if pyarrow >= 4 | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2497/timeline | From pyarrow version 4, it is supported to cast sliced lists.
This PR uses default pyarrow cast in Datasets to cast sliced list arrays if pyarrow version is >= 4.
In relation with PR #2461 and #2490.
cc: @lhoestq, @abhi1thakur, @SBrandeis | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-14T09:20:26Z | null | https://api.github.com/repos/huggingface/datasets/issues/2496 | {
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"gists... | false | 2021-06-21T15:05:03Z | 2021-06-21T15:05:03Z | null | [] | completed | [] | Dataset fingerprint changes after moving the cache directory, which prevent cache reload when using `map` | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2496/timeline | `Dataset.map` uses the dataset fingerprint (a hash) for caching.
However the fingerprint seems to change when someone moves the cache directory of the dataset.
This is because it uses the default fingerprint generation:
1. the dataset path is used to get the fingerprint
2. the modification times of the arrow file... | https://api.github.com/repos/huggingface/datasets | null | 920,216,314 | https://api.github.com/repos/huggingface/datasets/issues/2496/comments | MDU6SXNzdWU5MjAyMTYzMTQ= | null | 2,496 | https://api.github.com/repos/huggingface/datasets/issues/2496/events | false |
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open | 2021-06-14T08:11:48Z | null | https://api.github.com/repos/huggingface/datasets/issues/2494 | null | {
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"Hi @albertvillanova, I hope you are doing well.\r\n\r\nI am interested in this issue, is this still unresolved and open ?\r\n\r\nThe link you have provided in the above message directs to a webpage that does not exist.\r\n\r\nThanks and Regards"
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- How to make datasets the fastest
- How to make datasets take the less RAM
- How to make datasets take the less hard drive mem
cc: @thomwolf
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closed | 2021-06-13T16:20:08Z | null | https://api.github.com/repos/huggingface/datasets/issues/2493 | null | {
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"@albertvillanova done!"
] | null | [] | add tensorflow-macos support | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2493/timeline | ref - https://github.com/huggingface/datasets/issues/2068 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-13T05:10:59Z | null | https://api.github.com/repos/huggingface/datasets/issues/2492 | null | {
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Here is my PR for the text classification dataset in Mongolian.
Please do let me know in case you have anything to clarify.
Thanks & Regards,
Enod | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-13T04:37:01Z | null | https://api.github.com/repos/huggingface/datasets/issues/2491 | null | {
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"Closing this PR as I'll submit a new one - bug free"
] | null | [] | add eduge classification dataset | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2491/timeline | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-12T14:17:34Z | null | https://api.github.com/repos/huggingface/datasets/issues/2490 | null | {
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Close #2489. | https://api.github.com/repos/huggingface/datasets | {
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- it was fixed on 3 May 2021
- version 4.0.1 was released on 19 May 2021 with the bug fix | https://api.github.com/repos/huggingface/datasets | null | 919,569,749 | https://api.github.com/repos/huggingface/datasets/issues/2489/comments | MDU6SXNzdWU5MTk1Njk3NDk= | null | 2,489 | https://api.github.com/repos/huggingface/datasets/issues/2489/events | false |
closed | 2021-06-12T09:09:03Z | null | https://api.github.com/repos/huggingface/datasets/issues/2488 | null | {
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closed | 2021-06-12T05:47:29Z | null | https://api.github.com/repos/huggingface/datasets/issues/2487 | null | {
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"Let me push a small fix... 😉 ",
"Thanks !"
] | null | [] | Set configurable extracted datasets path | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2487/timeline | Part of #2480. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-11T20:17:41Z | null | https://api.github.com/repos/huggingface/datasets/issues/2486 | null | {
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"Hi ! Thanks for adding this dataset :)\r\n\r\nRegarding your questions:\r\n1. We can have them as different configuration of the `rico` dataset\r\n2. Yes please use the path to the image and not open the image directly, so that we can let users open the image one at at time during training if they want to for exam... | null | [
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] | Add Rico Dataset | NONE | https://api.github.com/repos/huggingface/datasets/issues/2486/timeline | Hi there!
I'm wanting to add the Rico datasets for software engineering type data to y'alls awesome library. However, as I have started coding, I've ran into a few hiccups so I thought it best to open the PR early to get a bit of discussion on how the Rico datasets should be added to the `datasets` lib.
1) There ... | https://api.github.com/repos/huggingface/datasets | {
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open | 2021-06-11T18:54:25Z | null | https://api.github.com/repos/huggingface/datasets/issues/2485 | null | {
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] | Implement layered building | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2485/timeline | As discussed with @stas00 and @lhoestq (see also here https://github.com/huggingface/datasets/issues/2481#issuecomment-859712190):
> My suggestion for this would be to have this enabled by default.
>
> Plus I don't know if there should be a dedicated issue to that is another functionality. But I propose layered b... | https://api.github.com/repos/huggingface/datasets | null | 919,099,218 | https://api.github.com/repos/huggingface/datasets/issues/2485/comments | MDU6SXNzdWU5MTkwOTkyMTg= | null | 2,485 | https://api.github.com/repos/huggingface/datasets/issues/2485/events | false |
closed | 2021-06-11T18:47:22Z | null | https://api.github.com/repos/huggingface/datasets/issues/2484 | {
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] | Implement loading a dataset builder | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2484/timeline | As discussed with @stas00 and @lhoestq, this would allow things like:
```python
from datasets import load_dataset_builder
dataset_name = "openwebtext"
builder = load_dataset_builder(dataset_name)
print(builder.cache_dir)
``` | https://api.github.com/repos/huggingface/datasets | null | 919,092,635 | https://api.github.com/repos/huggingface/datasets/issues/2484/comments | MDU6SXNzdWU5MTkwOTI2MzU= | null | 2,484 | https://api.github.com/repos/huggingface/datasets/issues/2484/events | false |
closed | 2021-06-11T15:09:30Z | null | https://api.github.com/repos/huggingface/datasets/issues/2483 | null | {
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"I continue thinking that the origin of the issue has to do with tqdm (and not with Arrow): this issue only arises for version 4.50.0 (and later) of tqdm, not for previous versions of tqdm.\r\n\r\nMy guess is that tqdm made a change from version 4.50.0 that does not properly release the iterable. ",
"FR"
] | null | [] | Use gc.collect only when needed to avoid slow downs | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2483/timeline | In https://github.com/huggingface/datasets/commit/42320a110d9d072703814e1f630a0d90d626a1e6 we added a call to gc.collect to resolve some issues on windows (see https://github.com/huggingface/datasets/pull/2482)
However calling gc.collect too often causes significant slow downs (the CI run time doubled).
So I just m... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-11T14:49:21Z | null | https://api.github.com/repos/huggingface/datasets/issues/2482 | null | {
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They were due to open arrow files not properly closed by pyarrow.
Since https://github.com/huggin... | https://api.github.com/repos/huggingface/datasets | {
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"My suggestion for this would be to have this enabled by default.\r\n\r\nPlus I don't know if there should be a dedicated issue to that is another functionality. But I propose layered building rather than all at once. That is:\r\n\r\n1. uncompress a handful of files via a generator enough to generate one arrow file... | completed | [
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] | Delete extracted files to save disk space | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2481/timeline | As discussed with @stas00 and @lhoestq, allowing the deletion of extracted files would save a great amount of disk space to typical user. | https://api.github.com/repos/huggingface/datasets | null | 918,680,168 | https://api.github.com/repos/huggingface/datasets/issues/2481/comments | MDU6SXNzdWU5MTg2ODAxNjg= | null | 2,481 | https://api.github.com/repos/huggingface/datasets/issues/2481/events | false |
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"For example to be able to send uncompressed and temp build files to another volume/partition, so that the user gets the minimal disk usage on their primary setup - and ends up with just the downloaded compressed data + arrow files, but outsourcing the huge files and building to another partition. e.g. on JZ there... | null | [
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] | Set download/extracted paths configurable | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2480/timeline | As discussed with @stas00 and @lhoestq, setting these paths configurable may allow to overcome disk space limitation on different partitions/drives.
TODO:
- [x] Set configurable extracted datasets path: #2487
- [x] Set configurable downloaded datasets path: #2488
- [ ] Set configurable "incomplete" datasets path? | https://api.github.com/repos/huggingface/datasets | null | 918,678,578 | https://api.github.com/repos/huggingface/datasets/issues/2480/comments | MDU6SXNzdWU5MTg2Nzg1Nzg= | null | 2,480 | https://api.github.com/repos/huggingface/datasets/issues/2480/events | false |
closed | 2021-06-11T12:14:36Z | null | https://api.github.com/repos/huggingface/datasets/issues/2479 | null | {
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open | 2021-06-11T09:38:02Z | null | https://api.github.com/repos/huggingface/datasets/issues/2478 | {
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"I've aligned the release script with Transformers in #6004, so I think this issue can be closed."
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] | Create release script | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2478/timeline | Create a script so that releases can be done automatically (as done in `transformers`). | https://api.github.com/repos/huggingface/datasets | null | 918,507,510 | https://api.github.com/repos/huggingface/datasets/issues/2478/comments | MDU6SXNzdWU5MTg1MDc1MTA= | null | 2,478 | https://api.github.com/repos/huggingface/datasets/issues/2478/events | false |
closed | 2021-06-11T07:26:03Z | null | https://api.github.com/repos/huggingface/datasets/issues/2477 | null | {
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"I see that @lhoestq overlooked this PR with his commit 07e2b05. 😢 \r\n\r\nI'm adding a script so that this issue does not happen again.\r\n",
"For the moment, the script only includes `update_custom_js`, but in a follow-up PR I will include all the required steps to make a package release.",
"I think we just ... | null | [] | Fix docs custom stable version | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2477/timeline | Currently docs default version is 1.5.0. This PR fixes this and sets the latest version instead. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-10T18:33:07Z | null | https://api.github.com/repos/huggingface/datasets/issues/2476 | null | {
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"Hi @lhoestq,\r\nI've pushed the updated README and tags. Let me know if anything is missing/needs some improvement!\r\n\r\n~PS. I don't know why it's not triggering the build~"
] | null | [] | Add TimeDial | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2476/timeline | Dataset: https://github.com/google-research-datasets/TimeDial
To-Do: Update README.md and add YAML tags | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-10T18:05:29Z | null | https://api.github.com/repos/huggingface/datasets/issues/2475 | null | {
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"This bug was fixed in #1995. Upgrading datasets to version 1.6 fixes the issue!",
"Indeed was a fixed bug.\r\nWorks on version 1.8\r\nThanks "
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] | Issue in timit_asr database | NONE | https://api.github.com/repos/huggingface/datasets/issues/2475/timeline | ## Describe the bug
I am trying to load the timit_asr dataset however only the first record is shown (duplicated over all the rows).
I am using the next code line
dataset = load_dataset(“timit_asr”, split=“test”).shuffle().select(range(10))
The above code result with the same sentence duplicated ten times.
It al... | https://api.github.com/repos/huggingface/datasets | null | 917,650,882 | https://api.github.com/repos/huggingface/datasets/issues/2475/comments | MDU6SXNzdWU5MTc2NTA4ODI= | null | 2,475 | https://api.github.com/repos/huggingface/datasets/issues/2475/events | false |
closed | 2021-06-10T17:39:36Z | null | https://api.github.com/repos/huggingface/datasets/issues/2474 | {
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"Hi ! `load_from_disk` doesn't move the data. If you specify a local path to your mounted drive, then the dataset is going to be loaded directly from the arrow file in this directory. The cache files that result from `map` operations are also stored in the same directory by default.\r\n\r\nHowever note than writing... | completed | [
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] | cache_dir parameter for load_from_disk ? | NONE | https://api.github.com/repos/huggingface/datasets/issues/2474/timeline | **Is your feature request related to a problem? Please describe.**
When using Google Colab big datasets can be an issue, as they won't fit on the VM's disk. Therefore mounting google drive could be a possible solution. Unfortunatly when loading my own dataset by using the _load_from_disk_ function, the data gets cache... | https://api.github.com/repos/huggingface/datasets | null | 917,622,055 | https://api.github.com/repos/huggingface/datasets/issues/2474/comments | MDU6SXNzdWU5MTc2MjIwNTU= | null | 2,474 | https://api.github.com/repos/huggingface/datasets/issues/2474/events | false |
closed | 2021-06-10T16:18:00Z | null | https://api.github.com/repos/huggingface/datasets/issues/2473 | null | {
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"Sounds great! It'll make things easier for the user while accessing the dataset. I'll make some changes to the current file then.",
"I've updated with the suggested changes. Updated the README, YAML tags as well (not sure of Size category tag as I couldn't pass the path of `dataset_infos.json` for this dataset)\... | null | [] | Add Disfl-QA | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2473/timeline | Dataset: https://github.com/google-research-datasets/disfl-qa
To-Do: Update README.md and add YAML tags | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-10T15:15:46Z | null | https://api.github.com/repos/huggingface/datasets/issues/2472 | {
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"I have received a reply from Zenodo support:\r\n> We are currently investigating and fixing this issue related to GitHub releases. As soon as we have solved it we will reach back to you.",
"Other repo maintainers had the same problem with Zenodo. \r\n\r\nThere is an open issue on their GitHub repo: zenodo/zenodo... | completed | [
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] | Fix automatic generation of Zenodo DOI | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2472/timeline | After the last release of Datasets (1.8.0), the automatic generation of the Zenodo DOI failed: it appears in yellow as "Received", instead of in green as "Published".
I have contacted Zenodo support to fix this issue.
TODO:
- [x] Check with Zenodo to fix the issue
- [x] Check BibTeX entry is right | https://api.github.com/repos/huggingface/datasets | null | 917,463,821 | https://api.github.com/repos/huggingface/datasets/issues/2472/comments | MDU6SXNzdWU5MTc0NjM4MjE= | null | 2,472 | https://api.github.com/repos/huggingface/datasets/issues/2472/events | false |
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] | Fix PermissionError on Windows when using tqdm >=4.50.0 | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2471/timeline | See: https://app.circleci.com/pipelines/github/huggingface/datasets/235/workflows/cfb6a39f-68eb-4802-8b17-2cd5e8ea7369/jobs/1111
```
PermissionError: [WinError 32] The process cannot access the file because it is being used by another process
``` | https://api.github.com/repos/huggingface/datasets | null | 917,067,165 | https://api.github.com/repos/huggingface/datasets/issues/2471/comments | MDU6SXNzdWU5MTcwNjcxNjU= | null | 2,471 | https://api.github.com/repos/huggingface/datasets/issues/2471/events | false |
closed | 2021-06-09T22:40:22Z | null | https://api.github.com/repos/huggingface/datasets/issues/2470 | null | {
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"Hi ! It looks like the issue comes from pyarrow. What version of pyarrow are you using ? How did you install it ?",
"Thank you for the quick reply! I have `pyarrow==4.0.0`, and I am installing with `pip`. It's not one of my explicit dependencies, so I assume it came along with something else.",
"Could you tryi... | completed | [
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] | Crash when `num_proc` > dataset length for `map()` on a `datasets.Dataset`. | NONE | https://api.github.com/repos/huggingface/datasets/issues/2470/timeline | ## Describe the bug
Crash if when using `num_proc` > 1 (I used 16) for `map()` on a `datasets.Dataset`.
I believe I've had cases where `num_proc` > 1 works before, but now it seems either inconsistent, or depends on my data. I'm not sure whether the issue is on my end, because it's difficult for me to debug! Any ti... | https://api.github.com/repos/huggingface/datasets | null | 916,724,260 | https://api.github.com/repos/huggingface/datasets/issues/2470/comments | MDU6SXNzdWU5MTY3MjQyNjA= | null | 2,470 | https://api.github.com/repos/huggingface/datasets/issues/2470/events | false |
closed | 2021-06-09T17:24:40Z | null | https://api.github.com/repos/huggingface/datasets/issues/2469 | null | {
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"i tried both the latest version of `tqdm` and the version required by `autonlp` - no luck with windows 😞 \r\n\r\nit's very weird that a progress bar would trigger these kind of errors, so i'll have a look to see if it's something unique to `datasets`",
"Closing since this is now fixed in #2482 "
] | null | [] | Bump tqdm version | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2469/timeline | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-09T17:08:54Z | null | https://api.github.com/repos/huggingface/datasets/issues/2468 | null | {
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"No, nevermind @lhoestq. Thanks to you for your reviews!"
] | null | [] | Implement ClassLabel encoding in JSON loader | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2468/timeline | Close #2365. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-09T08:03:31Z | null | https://api.github.com/repos/huggingface/datasets/issues/2466 | null | {
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"Let's add the tags in another PR. Thanks again !",
"Close #2061 , close #2444."
] | null | [] | change udpos features structure | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2466/timeline | The structure is change such that each example is a sentence
The change is done for issues:
#2061
#2444
Close #2061 , close #2444. | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-08T21:20:25Z | null | https://api.github.com/repos/huggingface/datasets/issues/2465 | null | {
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"Thank you for the review. ",
"Thanks a lot for the corrections and comments. \r\n\r\nI have resolved point 2. The make style still throws some errors, please see below\r\n\r\nblack --line-length 119 --target-version py36 tests src benchmarks datasets/**/*.py metrics\r\n/bin/sh: 1: black: not found\r\nMakefile:13... | null | [] | adding masahaner dataset | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2465/timeline | Adding Masakhane dataset https://github.com/masakhane-io/masakhane-ner
@lhoestq , can you please review | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-08T20:47:25Z | null | https://api.github.com/repos/huggingface/datasets/issues/2464 | null | {
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"> Good catch ! Thanks for fixing it\r\n\r\nMy pleasure🙏"
] | null | [] | fix: adjusting indexing for the labels. | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2464/timeline | The labels index were mismatching the actual ones used in the dataset. Specifically `0` is used for `SUPPORTS` and `1` is used for `REFUTES`
After this change, the `README.md` now reflects the content of `dataset_infos.json`.
Signed-off-by: Matteo Manica <drugilsberg@gmail.com> | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-08T20:23:16Z | null | https://api.github.com/repos/huggingface/datasets/issues/2463 | null | {
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Instead of updating the path, this PR fixes a commit hash as suggested by @lhoestq. | https://api.github.com/repos/huggingface/datasets | {
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open | 2021-06-08T19:22:04Z | null | https://api.github.com/repos/huggingface/datasets/issues/2462 | null | {
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"Any update on this? @lhoestq ",
"Unless there is high demande I don't think we will end up implementing this. This is a lot of work with very few advantages"
] | null | [
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"default": fals... | Merge DatasetDict and Dataset | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2462/timeline | As discussed in #2424 and #2437 (please see there for detailed conversation):
- It would be desirable to improve UX with respect the confusion between DatasetDict and Dataset.
- The difference between Dataset and DatasetDict is an additional abstraction complexity that confuses "typical" end users.
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closed | 2021-06-08T17:38:47Z | null | https://api.github.com/repos/huggingface/datasets/issues/2461 | null | {
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```python
import pyarrow as pa
arr = pa.array([[i * 10] for i in range(4)])
arr.cast(pa.list_(pa.int32())) # works
arr = arr.slice(1)
arr.cast(pa.list_(pa.int32())) # fails
# ArrowNotImplementedError("Casting sliced lists (non-zero offset) not yet implemented")
```
Howev... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-08T17:14:23Z | null | https://api.github.com/repos/huggingface/datasets/issues/2460 | null | {
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"Thank you for this welcome change guys!"
] | null | [
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] | Revert default in-memory for small datasets | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2460/timeline | Close #2458 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-08T16:16:32Z | null | https://api.github.com/repos/huggingface/datasets/issues/2459 | null | {
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"@VictorSanh , I think @mariosasko is already working on it. "
] | completed | [
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] | `Proto_qa` hosting seems to be broken | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2459/timeline | ## Describe the bug
The hosting (on Github) of the `proto_qa` dataset seems broken. I haven't investigated more yet, just flagging it for now.
@zaidalyafeai if you want to dive into it, I think it's just a matter of changing the links in `proto_qa.py`
## Steps to reproduce the bug
```python
from datasets impo... | https://api.github.com/repos/huggingface/datasets | null | 915,222,015 | https://api.github.com/repos/huggingface/datasets/issues/2459/comments | MDU6SXNzdWU5MTUyMjIwMTU= | null | 2,459 | https://api.github.com/repos/huggingface/datasets/issues/2459/events | false |
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"cc: @krandiash (pinged in reverted PR)."
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] | Revert default in-memory for small datasets | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2458/timeline | Users are reporting issues and confusion about setting default in-memory to True for small datasets.
We see 2 clear use cases of Datasets:
- the "canonical" way, where you can work with very large datasets, as they are memory-mapped and cached (after every transformation)
- some edge cases (speed benchmarks, inter... | https://api.github.com/repos/huggingface/datasets | null | 915,199,693 | https://api.github.com/repos/huggingface/datasets/issues/2458/comments | MDU6SXNzdWU5MTUxOTk2OTM= | null | 2,458 | https://api.github.com/repos/huggingface/datasets/issues/2458/events | false |
closed | 2021-06-08T13:54:00Z | null | https://api.github.com/repos/huggingface/datasets/issues/2457 | null | {
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"@lhoestq i think this is ready for another review 🙂 ",
"@lhoestq thanks for the feedback - it's now integrated :) \r\n\r\ni also added a comment about sorting the input label IDs",
"Created the PR here: https://github.com/huggingface/datasets/pull/2510",
"> Thanks ! Looks all good now :)\r\n> \r\n> We will ... | null | [] | Add align_labels_with_mapping function | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2457/timeline | This PR adds a helper function to align the `label2id` mapping between a `datasets.Dataset` and a classifier (e.g. a transformer with a `PretrainedConfig.label2id` dict), with the alignment performed on the dataset itself.
This will help us with the Hub evaluation, where we won't know in advance whether a model that... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-08T09:45:14Z | null | https://api.github.com/repos/huggingface/datasets/issues/2456 | null | {
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closed | 2021-06-08T02:23:45Z | null | https://api.github.com/repos/huggingface/datasets/issues/2455 | null | {
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"Hi ! Thanks for updating the version\r\n\r\n> Should I revert to the old dummy/1.0.0 or delete it and keep only dummy/1.1.0?\r\n\r\nFeel free to delete the old dummy data files\r\n"
] | null | [] | Update version in xor_tydi_qa.py | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2455/timeline | Fix #2449
@lhoestq Should I revert to the old `dummy/1.0.0` or delete it and keep only `dummy/1.1.0`? | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-07T19:21:08Z | null | https://api.github.com/repos/huggingface/datasets/issues/2454 | null | {
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"Thank you for the rename, @albertvillanova!"
] | null | [] | Rename config and environment variable for in memory max size | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2454/timeline | As discussed in #2409, both config and environment variable have been renamed.
cc: @stas00, huggingface/transformers#12056 | https://api.github.com/repos/huggingface/datasets | {
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"The arrow writer was supposing that the columns were always in the sorted order. I just pushed a fix to reorder the arrays accordingly to the schema. It was failing for many datasets like squad",
"and obviously it broke everything",
"Feel free to revert my commit. I can investigate this in the coming days",
... | null | [] | Keep original features order | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2453/timeline | When loading a Dataset from a JSON file whose column names are not sorted alphabetically, we should get the same column name order, whether we pass features (in the same order as in the file) or not.
I found this issue while working on #2366. | https://api.github.com/repos/huggingface/datasets | {
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"Realized that `tensorflow_datasets` is not provided by Huggingface and should therefore raise the issue there."
] | completed | [
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] | MRPC test set differences between torch and tensorflow datasets | NONE | https://api.github.com/repos/huggingface/datasets/issues/2452/timeline | ## Describe the bug
When using `load_dataset("glue", "mrpc")` to load the MRPC dataset, the test set includes the labels. When using `tensorflow_datasets.load('glue/{}'.format('mrpc'))` to load the dataset the test set does not contain the labels. There should be consistency between torch and tensorflow ways of import... | https://api.github.com/repos/huggingface/datasets | null | 913,603,877 | https://api.github.com/repos/huggingface/datasets/issues/2452/comments | MDU6SXNzdWU5MTM2MDM4Nzc= | null | 2,452 | https://api.github.com/repos/huggingface/datasets/issues/2452/events | false |
closed | 2021-06-07T08:13:57Z | null | https://api.github.com/repos/huggingface/datasets/issues/2451 | null | {
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closed | 2021-06-06T17:01:54Z | null | https://api.github.com/repos/huggingface/datasets/issues/2450 | null | {
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"Hi ! The `blue` metric doesn't exist, but the `bleu` metric does.\r\nYou can get the full list of metrics [here](https://github.com/huggingface/datasets/tree/master/metrics) or by running\r\n```python\r\nfrom datasets import list_metrics\r\n\r\nprint(list_metrics())\r\n```",
"Ah, my mistake. Thanks for correctin... | completed | [] | BLUE file not found | NONE | https://api.github.com/repos/huggingface/datasets/issues/2450/timeline | Hi, I'm having the following issue when I try to load the `blue` metric.
```shell
import datasets
metric = datasets.load_metric('blue')
Traceback (most recent call last):
File "/home/irfan/environments/Perplexity_Transformers/lib/python3.6/site-packages/datasets/load.py", line 320, in prepare_module
local... | https://api.github.com/repos/huggingface/datasets | null | 912,890,291 | https://api.github.com/repos/huggingface/datasets/issues/2450/comments | MDU6SXNzdWU5MTI4OTAyOTE= | null | 2,450 | https://api.github.com/repos/huggingface/datasets/issues/2450/events | false |
closed | 2021-06-06T09:44:58Z | null | https://api.github.com/repos/huggingface/datasets/issues/2449 | null | {
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"Just noticed while \r\n```load_dataset('local_path/datastes/xor_tydi_qa')``` works,\r\n```load_dataset('xor_tydi_qa')``` \r\noutputs an error: \r\n`\r\nFileNotFoundError: Couldn't find file at https://nlp.cs.washington.edu/xorqa/XORQA_site/data/xor_dev_retrieve_eng_span.jsonl\r\n`\r\n(the old url)\r\n\r\nI tired c... | null | [] | Update `xor_tydi_qa` url to v1.1 | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2449/timeline | The dataset is updated and the old url no longer works. So I updated it.
I faced a bug while trying to fix this. Documenting the solution here. Maybe we can add it to the doc (`CONTRIBUTING.md` and `ADD_NEW_DATASET.md`).
> And to make the command work without the ExpectedMoreDownloadedFiles error, you just need to ... | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-05T17:30:24Z | null | https://api.github.com/repos/huggingface/datasets/issues/2448 | null | {
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closed | 2021-06-05T14:57:38Z | null | https://api.github.com/repos/huggingface/datasets/issues/2447 | null | {
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"Hi ! I'm pretty sure that the answers are not made available for the test set on purpose because it is part of the DynaBench benchmark, for which you can submit your predictions on the website.\r\nIn any case we should mention this in the dataset card of this dataset.",
"Makes sense, but not intuitive for someon... | completed | [
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] | dataset adversarial_qa has no answers in the "test" set | NONE | https://api.github.com/repos/huggingface/datasets/issues/2447/timeline | ## Describe the bug
When loading the adversarial_qa dataset the 'test' portion has no answers. Only the 'train' and 'validation' portions do. This occurs with all four of the configs ('adversarialQA', 'dbidaf', 'dbert', 'droberta')
## Steps to reproduce the bug
```
from datasets import load_dataset
examples ... | https://api.github.com/repos/huggingface/datasets | null | 912,299,527 | https://api.github.com/repos/huggingface/datasets/issues/2447/comments | MDU6SXNzdWU5MTIyOTk1Mjc= | null | 2,447 | https://api.github.com/repos/huggingface/datasets/issues/2447/events | false |
closed | 2021-06-04T15:44:29Z | null | https://api.github.com/repos/huggingface/datasets/issues/2446 | null | {
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"```\r\nFile \"/home/sasha/.local/share/virtualenvs/lib-ogGKnCK_/lib/python3.7/site-packages/streamlit/script_runner.py\", line 332, in _run_script\r\n exec(code, module.__dict__)\r\nFile \"/home/sasha/nlp-viewer/run.py\", line 233, in <module>\r\n configs = get_confs(option)\r\nFile \"/home/sasha/.local/shar... | completed | [] | `yelp_polarity` is broken | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2446/timeline | 
| https://api.github.com/repos/huggingface/datasets | null | 911,635,399 | https://api.github.com/repos/huggingface/datasets/issues/2446/comments | MDU6SXNzdWU5MTE2MzUzOTk= | null | 2,446 | https://api.github.com/repos/huggingface/datasets/issues/2446/events | false |
closed | 2021-06-04T14:53:35Z | null | https://api.github.com/repos/huggingface/datasets/issues/2445 | null | {
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"Thanks ! To fix the CI you just have to rename the dummy data file in the dummy_data.zip files",
"thanks for the tip with the dummy data - all fixed now!"
] | null | [] | Fix broken URLs for bn_hate_speech and covid_tweets_japanese | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2445/timeline | Closes #2388 | https://api.github.com/repos/huggingface/datasets | {
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closed | 2021-06-04T09:10:26Z | null | https://api.github.com/repos/huggingface/datasets/issues/2444 | null | {
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"Hi,\r\n\r\nThis is a known issue. More info on this issue can be found in #2061. If you are looking for an open-source contribution, there are step-by-step instructions in the linked issue that you can follow to fix it.",
"Closed by #2466."
] | completed | [
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] | Sentence Boundaries missing in Dataset: xtreme / udpos | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2444/timeline | I was browsing through annotation guidelines, as suggested by the datasets introduction.
The guidlines saids "There must be exactly one blank line after every sentence, including the last sentence in the file. Empty sentences are not allowed." in the [Sentence Boundaries and Comments section](https://universaldepend... | https://api.github.com/repos/huggingface/datasets | null | 911,297,139 | https://api.github.com/repos/huggingface/datasets/issues/2444/comments | MDU6SXNzdWU5MTEyOTcxMzk= | null | 2,444 | https://api.github.com/repos/huggingface/datasets/issues/2444/events | false |
closed | 2021-06-03T00:27:30Z | null | https://api.github.com/repos/huggingface/datasets/issues/2443 | null | {
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"Hi ! That would be nice indeed to at least have a warning, since we don't handle the max path length limit.\r\nAlso if we could have an error instead of an infinite loop I'm sure windows users will appreciate that",
"Unfortunately, I know this problem very well... 😅 \r\n\r\nI remember having proposed to throw a... | completed | [
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] | Some tests hang on Windows | CONTRIBUTOR | https://api.github.com/repos/huggingface/datasets/issues/2443/timeline | Currently, several tests hang on Windows if the max path limit of 260 characters is not disabled. This happens due to the changes introduced by #2223 that cause an infinite loop in `WindowsFileLock` described in #2220. This can be very tricky to debug, so I think now is a good time to address these issues/PRs. IMO thr... | https://api.github.com/repos/huggingface/datasets | null | 909,983,574 | https://api.github.com/repos/huggingface/datasets/issues/2443/comments | MDU6SXNzdWU5MDk5ODM1NzQ= | null | 2,443 | https://api.github.com/repos/huggingface/datasets/issues/2443/events | false |
closed | 2021-06-02T16:24:56Z | null | https://api.github.com/repos/huggingface/datasets/issues/2442 | null | {
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"Fixing the tags of all the datasets is out of scope for this PR so I'm merging even though the CI fails because of the missing tags"
] | null | [] | add english language tags for ~100 datasets | MEMBER | https://api.github.com/repos/huggingface/datasets/issues/2442/timeline | As discussed on Slack, I have manually checked for ~100 datasets that they have at least one subset in English. This information was missing so adding into the READMEs.
Note that I didn't check all the subsets so it's possible that some of the datasets have subsets in other languages than English... | https://api.github.com/repos/huggingface/datasets | {
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