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https://api.github.com/repos/huggingface/datasets/issues/2085 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2085/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2085/comments | https://api.github.com/repos/huggingface/datasets/issues/2085/events | https://github.com/huggingface/datasets/pull/2085 | 835,870,994 | MDExOlB1bGxSZXF1ZXN0NTk2NDYyOTc2 | 2,085 | Fix max_wait_time in requests | {
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- **Name:** CUAD - Contract Understanding Atticus Dataset
- **Description:** As one of the only large, specialized NLP benchmarks annotated by experts, CUAD can serve as a challenging research benchmark for the broader NLP community.
- **Paper:** https://arxiv.org/abs/2103.06268
- **Data:** http... | {
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https://api.github.com/repos/huggingface/datasets/issues/2083 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2083/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2083/comments | https://api.github.com/repos/huggingface/datasets/issues/2083/events | https://github.com/huggingface/datasets/issues/2083 | 835,695,425 | MDU6SXNzdWU4MzU2OTU0MjU= | 2,083 | `concatenate_datasets` throws error when changing the order of datasets to concatenate | {
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I played around with the `concatenate_datasets(...)` function: https://huggingface.co/docs/datasets/package_reference/main_classes.html?highlight=concatenate_datasets#datasets.concatenate_datasets
and noticed that when the order in which the datasets are concatenated changes an error is thrown where it shou... | {
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https://api.github.com/repos/huggingface/datasets/issues/2082 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2082/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2082/comments | https://api.github.com/repos/huggingface/datasets/issues/2082/events | https://github.com/huggingface/datasets/pull/2082 | 835,401,555 | MDExOlB1bGxSZXF1ZXN0NTk2MDY1NTM0 | 2,082 | Updated card using information from data statement and datasheet | {
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"merged_at": "2021-03-19T14:29... | I updated and clarified the REFreSD [data card](https://github.com/mcmillanmajora/datasets/blob/refresd_card/datasets/refresd/README.md) with information from the Eleftheria's [website](https://elbria.github.io/post/refresd/). I added brief descriptions where the initial card referred to the paper, and I also recreated... | {
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https://api.github.com/repos/huggingface/datasets/issues/2081 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2081/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2081/comments | https://api.github.com/repos/huggingface/datasets/issues/2081/events | https://github.com/huggingface/datasets/pull/2081 | 835,112,968 | MDExOlB1bGxSZXF1ZXN0NTk1ODE3OTM4 | 2,081 | Fix docstrings issues | {
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https://api.github.com/repos/huggingface/datasets/issues/2080 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2080/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2080/comments | https://api.github.com/repos/huggingface/datasets/issues/2080/events | https://github.com/huggingface/datasets/issues/2080 | 835,023,000 | MDU6SXNzdWU4MzUwMjMwMDA= | 2,080 | Multidimensional arrays in a Dataset | {
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I'm trying to put together a `datasets.Dataset` to be used with LayoutLM which is available in `transformers`. This model requires as input the bounding boxes of each of the token of a sequence. This is when I realized that `Dataset` does not support multi-dimensional arrays as a value for a column in a row.
... | {
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https://api.github.com/repos/huggingface/datasets/issues/2079 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2079/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2079/comments | https://api.github.com/repos/huggingface/datasets/issues/2079/events | https://github.com/huggingface/datasets/pull/2079 | 834,920,493 | MDExOlB1bGxSZXF1ZXN0NTk1NjU2MDQ5 | 2,079 | Refactorize Metric.compute signature to force keyword arguments only | {
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https://api.github.com/repos/huggingface/datasets/issues/2078 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2078/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2078/comments | https://api.github.com/repos/huggingface/datasets/issues/2078/events | https://github.com/huggingface/datasets/issues/2078 | 834,694,819 | MDU6SXNzdWU4MzQ2OTQ4MTk= | 2,078 | MemoryError when computing WER metric | {
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```
wer = load_metric("wer")
print(wer.compute(predictions=result["predicted"], references=result["target"]))
```
However, I receive the following exception:
`Traceback (most recent call last):
File ... | {
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https://api.github.com/repos/huggingface/datasets/issues/2077 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2077/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2077/comments | https://api.github.com/repos/huggingface/datasets/issues/2077/events | https://github.com/huggingface/datasets/pull/2077 | 834,649,536 | MDExOlB1bGxSZXF1ZXN0NTk1NDI0MTYw | 2,077 | Bump huggingface_hub version | {
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https://api.github.com/repos/huggingface/datasets/issues/2076 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2076/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2076/comments | https://api.github.com/repos/huggingface/datasets/issues/2076/events | https://github.com/huggingface/datasets/issues/2076 | 834,445,296 | MDU6SXNzdWU4MzQ0NDUyOTY= | 2,076 | Issue: Dataset download error | {
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] | open | false | null | [] | null | 7 | 2021-03-18T06:36:06 | 2021-03-22T11:52:31 | null | NONE | null | null | null | The download link in `iwslt2017.py` file does not seem to work anymore.
For example, `FileNotFoundError: Couldn't find file at https://wit3.fbk.eu/archive/2017-01-trnted/texts/zh/en/zh-en.tgz`
Would be nice if we could modify it script and use the new downloadable link? | {
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https://api.github.com/repos/huggingface/datasets/issues/2075 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2075/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2075/comments | https://api.github.com/repos/huggingface/datasets/issues/2075/events | https://github.com/huggingface/datasets/issues/2075 | 834,301,246 | MDU6SXNzdWU4MzQzMDEyNDY= | 2,075 | ConnectionError: Couldn't reach common_voice.py | {
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from datasets import load_dataset, load_metric
common_voice_train = load_dataset("common_voice", "zh-CN", split="train+validation")
common_voice_test = load_dataset("common_voice", "zh-CN", split="test")
Got:
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https://api.github.com/repos/huggingface/datasets/issues/2074 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2074/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2074/comments | https://api.github.com/repos/huggingface/datasets/issues/2074/events | https://github.com/huggingface/datasets/pull/2074 | 834,268,463 | MDExOlB1bGxSZXF1ZXN0NTk1MTIzMjYw | 2,074 | Fix size categories in YAML Tags | {
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"merged_at": "2021-03-23T17:11... | This PR fixes several `size_categories` in YAML tags and makes them consistent. Additionally, I have added a few more categories after `1M`, up to `1T`. I would like to add that to the streamlit app also.
This PR also adds a couple of infos that I found missing.
The code for generating this:
```python
for datas... | {
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https://api.github.com/repos/huggingface/datasets/issues/2073 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2073/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2073/comments | https://api.github.com/repos/huggingface/datasets/issues/2073/events | https://github.com/huggingface/datasets/pull/2073 | 834,192,501 | MDExOlB1bGxSZXF1ZXN0NTk1MDYyMzQ2 | 2,073 | Fixes check of TF_AVAILABLE and TORCH_AVAILABLE | {
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"merged_at": "2021-03-18T09:09... | # What is this PR doing
This PR implements the checks if `Tensorflow` and `Pytorch` are available the same way as `transformers` does it. I added the additional checks for the different `Tensorflow` and `torch` versions. #2068 | {
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https://api.github.com/repos/huggingface/datasets/issues/2072 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2072/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2072/comments | https://api.github.com/repos/huggingface/datasets/issues/2072/events | https://github.com/huggingface/datasets/pull/2072 | 834,054,837 | MDExOlB1bGxSZXF1ZXN0NTk0OTQ5NjA4 | 2,072 | Fix docstring issues | {
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# benchmark_filter.py
import logging
import sys
import time
from datasets import load_dataset, set_caching_enabled
if __name__ == "__main__":
set_caching_enabled(False)
logging.basicConfig(level=logging.DEBUG)
bc = load_dataset("bookcorpus")
now = time.time()
try:
... | {
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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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https://api.github.com/repos/huggingface/datasets/issues/2069 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2069/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2069/comments | https://api.github.com/repos/huggingface/datasets/issues/2069/events | https://github.com/huggingface/datasets/pull/2069 | 833,768,926 | MDExOlB1bGxSZXF1ZXN0NTk0NzA5ODYw | 2,069 | Add and fix docstring for NamedSplit | {
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https://api.github.com/repos/huggingface/datasets/issues/2068 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2068/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2068/comments | https://api.github.com/repos/huggingface/datasets/issues/2068/events | https://github.com/huggingface/datasets/issues/2068 | 833,602,832 | MDU6SXNzdWU4MzM2MDI4MzI= | 2,068 | PyTorch not available error on SageMaker GPU docker though it is installed | {
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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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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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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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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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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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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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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 | 2021-03-16T09:12:19 | 2021-03-16T18:00:31 | 2021-03-16T18:00:07 | 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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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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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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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.
`
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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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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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```
!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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- **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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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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"merged_at": "2021-03-19T10:31... | - **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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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 | 2021-03-13T22:01:10 | 2021-03-15T09:27:28 | 2021-03-15T09:27:28 | 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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https://api.github.com/repos/huggingface/datasets/issues/2049 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2049/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2049/comments | https://api.github.com/repos/huggingface/datasets/issues/2049/events | https://github.com/huggingface/datasets/pull/2049 | 830,978,687 | MDExOlB1bGxSZXF1ZXN0NTkyNDE2MzQ0 | 2,049 | Fix text-classification tags | {
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"merged_at": "2021-03-16T15:47... | There are different tags for text classification right now: `text-classification` and `text_classification`:
.
This PR fixes it.
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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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"merged_at": "2021-03-19T10:47... | 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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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/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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"merged_at": "2021-03-16T14:35... | 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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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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"merged_at": "2021-03-19T10:29... | 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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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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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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"merged_at": "2021-03-12T15:04... | 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/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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"followers_url": "https://api.github.com/use... | [] | closed | false | null | [] | null | 4 | 2021-03-12T14:27:00 | 2021-08-04T18:00:43 | 2021-08-04T18:00:43 | NONE | null | null | null | Hi there,
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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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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"html_url": "https://github.com/songfeng",
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"url": "https://api.github.com/repos/huggingface/datasets/pulls/2039",
"html_url": "https://github.com/huggingface/datasets/pull/2039",
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} | Added fix to handle the last turn that is a user turn. | {
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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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"html_url": "https://github.com/songfeng",
"followers_url": "https://api.github.com/users/songf... | [] | closed | false | null | [] | null | 2 | 2021-03-12T11:41:54 | 2021-03-16T16:27:40 | 2021-03-16T16:27:40 | CONTRIBUTOR | null | null | null | The [doc2dial/dataset_infos.json](https://github.com/huggingface/datasets/blob/master/datasets/doc2dial/dataset_infos.json) is outdated. It would fail data_loader when verifying download checksum etc..
Could you please update this file or point me how to update this file?
Thank you. | {
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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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"merged_at": "2021-03-16T11:01... | 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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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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"followers_url": "https://api.github.com/users/Gpwner/fo... | [] | closed | false | null | [] | null | 1 | 2021-03-12T09:09:39 | 2021-03-15T08:45:02 | 2021-03-15T08:44:44 | NONE | null | null | null | when I execute these codes
```
>>> 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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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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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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"followers_url": "https://api.github.com/users/pcyin/follower... | [] | closed | false | null | [] | null | 0 | 2021-03-11T17:46:13 | 2021-03-11T18:06:25 | 2021-03-11T18:06:25 | CONTRIBUTOR | null | false | {
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"merged_at": "2021-03-11T18:06... | 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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"followers_url": "https://api.github.com/users/lhoest... | [] | closed | false | null | [] | null | 0 | 2021-03-11T16:08:00 | 2021-03-11T17:58:12 | 2021-03-11T17:58:12 | MEMBER | null | false | {
"url": "https://api.github.com/repos/huggingface/datasets/pulls/2033",
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"merged_at": "2021-03-11T17:58... | 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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"login": "theo-m",
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"followers_url": "https://api.github... | null | 0 | 2021-03-11T15:18:50 | 2021-03-11T17:20:57 | null | 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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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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"followers_url": "https://api.github.com/users/miyam... | [] | closed | false | null | [] | null | 2 | 2021-03-11T12:51:24 | 2021-03-22T08:33:52 | 2021-03-22T08:33:52 | CONTRIBUTOR | null | null | null | I tried downloading Japanese wikipedia, but it always failed because of out of memory maybe.
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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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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"merged_at": "2021-03-18T13:29... | Implement `Dataset.from_text`.
Analogue to #1943, #1946. | {
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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 | 2021-03-11T12:16:13 | 2021-03-12T00:21:09 | 2021-03-12T00:21:09 | 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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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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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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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/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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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/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/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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"merged_at": "2021-03-15T10:08... | 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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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/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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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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"merged_at": "2021-03-11T13:33... | 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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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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} | 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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Fix #2010 | {
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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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"followers_url": "https://api.git... | null | 2 | 2021-03-09T09:48:55 | 2021-03-09T11:33:31 | 2021-03-09T11:33:31 | CONTRIBUTOR | null | null | null | Feels like the documentation on adding a new dataset is outdated?
https://github.com/huggingface/datasets/blob/987df6b4e9e20fc0c92bc9df48137d170756fd7b/ADD_NEW_DATASET.md#L49-L54
There is no upstream branch on remote. | {
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I 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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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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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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* fixes various typos/grammer I came across while reading the docs
* adds the "Install with conda" installation instructions
Closes #1959 | {
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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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```
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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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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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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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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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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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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When I save the dataset with **save_to_disk**, the original da... | {
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] | open | false | null | [] | null | 6 | 2021-03-05T02:10:02 | 2021-07-19T10:05:09 | 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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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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"followers_url": "https://api.github.com/use... | [] | open | false | null | [] | null | 10 | 2021-03-04T17:06:53 | 2021-03-11T09:44:15 | null | NONE | null | null | null | Hi, I'm using a dataset with two labels "nurse" and "not nurse". For whatever reason (that I don't understand), I get an error that I think comes from the datasets package (using csv). Everything works fine if the labels are "nurse" and "surgeon".
This is the trace I get:
```
File "../../../models/tr-4.3.2/run_... | {
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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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"followers_url": "https://api.github.com/users/surak/followers"... | [] | closed | false | null | [] | null | 1 | 2021-03-04T17:04:20 | 2021-08-04T18:05:23 | 2021-08-04T18:05:23 | NONE | null | null | null | Hi!
At the README.MD, you say: "efficient data pre-processing: simple, fast and reproducible data pre-processing for the above public datasets as well as your own local datasets in CSV/JSON/text. "
But here:
https://github.com/huggingface/datasets/blob/master/templates/new_dataset_script.py#L82-L117
You menti... | {
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https://api.github.com/repos/huggingface/datasets/issues/1987 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1987/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1987/comments | https://api.github.com/repos/huggingface/datasets/issues/1987/events | https://github.com/huggingface/datasets/issues/1987 | 822,308,956 | MDU6SXNzdWU4MjIzMDg5NTY= | 1,987 | wmt15 is broken | {
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"followers_url": "https://api.github.com/users/stas00/fo... | [] | open | false | null | [] | null | 0 | 2021-03-04T16:46:25 | 2021-03-04T16:46:25 | null | MEMBER | null | null | null | While testing the hotfix, I tried a random other wmt release and found wmt15 to be broken:
```
python -c 'from datasets import load_dataset; load_dataset("wmt15", "de-en")'
Downloading: 2.91kB [00:00, 818kB/s]
Downloading: 3.02kB [00:00, 897kB/s]
Downloading: 41.1kB [00:00, 19.1MB/s]
Downloading and preparing da... | {
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https://api.github.com/repos/huggingface/datasets/issues/1986 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1986/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1986/comments | https://api.github.com/repos/huggingface/datasets/issues/1986/events | https://github.com/huggingface/datasets/issues/1986 | 822,176,290 | MDU6SXNzdWU4MjIxNzYyOTA= | 1,986 | wmt datasets fail to load | {
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"followers_url": "https://api.github.com/users/sabani... | [] | closed | false | null | [] | null | 1 | 2021-03-04T14:18:55 | 2021-03-04T14:31:07 | 2021-03-04T14:31:07 | NONE | null | null | null | ~\.cache\huggingface\modules\datasets_modules\datasets\wmt14\43e717d978d2261502b0194999583acb874ba73b0f4aed0ada2889d1bb00f36e\wmt_utils.py in _split_generators(self, dl_manager)
758 # Extract manually downloaded files.
759 manual_files = dl_manager.extract(manual_paths_dict)
--> 760 e... | {
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