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https://api.github.com/repos/huggingface/datasets/issues/2469 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2469/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2469/comments | https://api.github.com/repos/huggingface/datasets/issues/2469/events | https://github.com/huggingface/datasets/pull/2469 | 916,440,418 | MDExOlB1bGxSZXF1ZXN0NjY2MTA1OTk1 | 2,469 | Bump tqdm version | {
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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 "
] | 2021-06-09T17:24:40 | 2021-06-11T15:03:42 | 2021-06-11T15:03:36 | MEMBER | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/1373 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1373/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1373/comments | https://api.github.com/repos/huggingface/datasets/issues/1373/events | https://github.com/huggingface/datasets/pull/1373 | 760,280,869 | MDExOlB1bGxSZXF1ZXN0NTM1MTM5MTY0 | 1,373 | Add OPUS ECB Dataset | {
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https://api.github.com/repos/huggingface/datasets/issues/964 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/964/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/964/comments | https://api.github.com/repos/huggingface/datasets/issues/964/events | https://github.com/huggingface/datasets/pull/964 | 754,474,660 | MDExOlB1bGxSZXF1ZXN0NTMwMzY4OTAy | 964 | Adding the WebNLG dataset | {
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"This is task is part of the GEM suite so will actually need a more complete dataset card. I'm taking a break for now though and will get back to it before merging :) "
] | 2020-12-01T15:05:23 | 2020-12-02T17:34:05 | 2020-12-02T17:34:05 | MEMBER | null | 0 | {
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} | This PR adds data from the WebNLG challenge, with one configuration per release and challenge iteration.
More information can be found [here](https://webnlg-challenge.loria.fr/)
Unfortunately, the data itself comes from a pretty large number of small XML files, so the dummy data ends up being quite large (8.4 MB even keeping only one example per file). | {
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https://api.github.com/repos/huggingface/datasets/issues/3804 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3804/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3804/comments | https://api.github.com/repos/huggingface/datasets/issues/3804/events | https://github.com/huggingface/datasets/issues/3804 | 1,157,297,278 | I_kwDODunzps5E-vR- | 3,804 | Text builder with custom separator line boundaries | {
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"Gently pinging @lhoestq",
"Hi ! Interresting :)\r\n\r\nCould you give more details on what kind of separators you would like to use instead ?",
"In my case, I just want to use `\\n` but not `U+2028`.",
"Ok I see, maybe there can be a `sep` parameter to allow users to specify what line/paragraph separator the... | 2022-03-02T14:50:16 | 2022-03-16T15:53:59 | null | NONE | null | null | null | **Is your feature request related to a problem? Please describe.**
The current [Text](https://github.com/huggingface/datasets/blob/207be676bffe9d164740a41a883af6125edef135/src/datasets/packaged_modules/text/text.py#L23) builder implementation splits texts with `splitlines()` which splits the text on several line boundaries. Not all of them are always wanted.
**Describe the solution you'd like**
```python
if self.config.sample_by == "line":
batch_idx = 0
while True:
batch = f.read(self.config.chunksize)
if not batch:
break
batch += f.readline() # finish current line
if self.config.custom_newline is None:
batch = batch.splitlines(keepends=self.config.keep_linebreaks)
else:
batch = batch.split(self.config.custom_newline)[:-1]
pa_table = pa.Table.from_arrays([pa.array(batch)], schema=schema)
# Uncomment for debugging (will print the Arrow table size and elements)
# logger.warning(f"pa_table: {pa_table} num rows: {pa_table.num_rows}")
# logger.warning('\n'.join(str(pa_table.slice(i, 1).to_pydict()) for i in range(pa_table.num_rows)))
yield (file_idx, batch_idx), pa_table
batch_idx += 1
```
**A clear and concise description of what you want to happen.**
Creating the dataset rows with a subset of the `splitlines()` line boundaries. | {
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https://api.github.com/repos/huggingface/datasets/issues/1643 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/1643/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/1643/comments | https://api.github.com/repos/huggingface/datasets/issues/1643/events | https://github.com/huggingface/datasets/issues/1643 | 775,280,046 | MDU6SXNzdWU3NzUyODAwNDY= | 1,643 | Dataset social_bias_frames 404 | {
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"I see, master is already fixed in https://github.com/huggingface/datasets/commit/9e058f098a0919efd03a136b9b9c3dec5076f626"
] | 2020-12-28T08:35:34 | 2020-12-28T08:38:07 | 2020-12-28T08:38:07 | NONE | null | null | null | ```
>>> from datasets import load_dataset
>>> dataset = load_dataset("social_bias_frames")
...
Downloading and preparing dataset social_bias_frames/default
...
~/.pyenv/versions/3.7.6/lib/python3.7/site-packages/datasets/utils/file_utils.py in get_from_cache(url, cache_dir, force_download, proxies, etag_timeout, resume_download, user_agent, local_files_only, use_etag)
484 )
485 elif response is not None and response.status_code == 404:
--> 486 raise FileNotFoundError("Couldn't find file at {}".format(url))
487 raise ConnectionError("Couldn't reach {}".format(url))
488
FileNotFoundError: Couldn't find file at https://homes.cs.washington.edu/~msap/social-bias-frames/SocialBiasFrames_v2.tgz
```
[Here](https://homes.cs.washington.edu/~msap/social-bias-frames/) we find button `Download data` with the correct URL for the data: https://homes.cs.washington.edu/~msap/social-bias-frames/SBIC.v2.tgz | {
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https://api.github.com/repos/huggingface/datasets/issues/5655 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5655/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5655/comments | https://api.github.com/repos/huggingface/datasets/issues/5655/events | https://github.com/huggingface/datasets/pull/5655 | 1,634,030,017 | PR_kwDODunzps5MjWYy | 5,655 | Improve features decoding in to_iterable_dataset | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | 2023-03-21T14:18:09 | 2023-03-23T13:19:27 | 2023-03-23T13:12:25 | MEMBER | null | 0 | {
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} | Following discussion at https://github.com/huggingface/datasets/pull/5589
Right now `to_iterable_dataset` on images/audio hurts iterable dataset performance a lot (e.g. x4 slower because it encodes+decodes images/audios unnecessarily).
I fixed it by providing a generator that yields undecoded examples | {
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https://api.github.com/repos/huggingface/datasets/issues/5276 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/5276/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/5276/comments | https://api.github.com/repos/huggingface/datasets/issues/5276/events | https://github.com/huggingface/datasets/issues/5276 | 1,459,363,442 | I_kwDODunzps5W_B5y | 5,276 | Bug in downloading common_voice data and snall chunk of it to one's own hub | {
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"Sounds like one of the file is not a valid one, can you make sure you uploaded valid mp3 files ?",
"Well I just sharded the original commonVoice dataset and pushed a small chunk of it in a private rep\n\nWhat did go wrong?\n\nHolen Sie sich Outlook für iOS<https://aka.ms/o0ukef>\n________________________________... | 2022-11-22T08:17:53 | 2023-07-21T14:33:10 | 2023-07-21T14:33:10 | NONE | null | null | null | ### Describe the bug
I'm trying to load the common voice dataset. Currently there is no implementation to download just par tof the data, and I need just one part of it, without downloading the entire dataset
Help please?
### Steps to reproduce the bug
So here is what I have done:
1. Download common_voice data
2. Trim part of it and publish it to my own repo.
3. Download data from my own repo, but am getting this error.
### Expected behavior
There shouldn't be an error in downloading part of the data and publishing it to one's own repo
### Environment info
common_voice 11 | {
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"_The documentation is not available anymore as the PR was closed or merged._",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchmark_array_xd.json\n\n| metric | read_batch_formatted_as_numpy after write_array2d | rea... | 2023-07-12T15:46:12 | 2023-07-12T16:29:26 | 2023-07-12T16:18:04 | CONTRIBUTOR | null | 0 | {
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"Hi @severo, I guess this issue requests not only to be able to access the configuration name (by using `inspect.get_dataset_config_names`), but the configuration itself as well (I mean you use the name to get the configuration afterwards, maybe using `builder_cls.builder_configs`), is this right?",
"Yes, maybe t... | 2021-10-22T08:02:50 | 2021-10-28T05:44:49 | 2021-10-28T05:44:49 | CONTRIBUTOR | null | null | null | **Is your feature request related to a problem? Please describe.**
Currently, some datasets have a configuration, while others don't. It would be simpler for the user to always have configuration names to refer to
**Describe the solution you'd like**
In that sense inspect.get_dataset_config_names should always return at least one configuration name, be it `default` or `Check___region_1` (for community datasets like `Check/region_1`).
https://github.com/huggingface/datasets/blob/c5747a5e1dde2670b7f2ca6e79e2ffd99dff85af/src/datasets/inspect.py#L161
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https://api.github.com/repos/huggingface/datasets/issues/4018 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/4018/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/4018/comments | https://api.github.com/repos/huggingface/datasets/issues/4018/events | https://github.com/huggingface/datasets/pull/4018 | 1,180,622,816 | PR_kwDODunzps41Aj7g | 4,018 | Replace yelp_review_full data url | {
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"_The documentation is not available anymore as the PR was closed or merged._"
] | 2022-03-25T10:37:18 | 2022-03-25T15:01:02 | 2022-03-25T14:56:10 | MEMBER | null | 0 | {
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} | I replaced the Google Drive URL of the Yelp review dataset by the FastAI one, since we've had some issues with Google Drive.
Close https://github.com/huggingface/datasets/issues/4005 | {
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https://api.github.com/repos/huggingface/datasets/issues/2125 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/2125/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/2125/comments | https://api.github.com/repos/huggingface/datasets/issues/2125/events | https://github.com/huggingface/datasets/issues/2125 | 842,690,570 | MDU6SXNzdWU4NDI2OTA1NzA= | 2,125 | Is dataset timit_asr broken? | {
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"Hi,\r\n\r\nthanks for the report, but this is a duplicate of #2052. ",
"@mariosasko \r\nThank you for your quick response! Following #2052, I've fixed the problem."
] | 2021-03-28T08:30:18 | 2021-03-28T12:29:25 | 2021-03-28T12:29:25 | NONE | null | null | null | Using `timit_asr` dataset, I saw all records are the same.
``` python
from datasets import load_dataset, load_metric
timit = load_dataset("timit_asr")
from datasets import ClassLabel
import random
import pandas as pd
from IPython.display import display, HTML
def show_random_elements(dataset, num_examples=10):
assert num_examples <= len(dataset), "Can't pick more elements than there are in the dataset."
picks = []
for _ in range(num_examples):
pick = random.randint(0, len(dataset)-1)
while pick in picks:
pick = random.randint(0, len(dataset)-1)
picks.append(pick)
df = pd.DataFrame(dataset[picks])
display(HTML(df.to_html()))
show_random_elements(timit['train'].remove_columns(["file", "phonetic_detail", "word_detail", "dialect_region", "id",
"sentence_type", "speaker_id"]), num_examples=20)
```
`output`
<img width="312" alt="Screen Shot 2021-03-28 at 17 29 04" src="https://user-images.githubusercontent.com/42398050/112746646-21acee80-8feb-11eb-84f3-dbb5d4269724.png">
I double-checked it [here](https://huggingface.co/datasets/viewer/), and met the same problem.
<img width="1374" alt="Screen Shot 2021-03-28 at 17 32 07" src="https://user-images.githubusercontent.com/42398050/112746698-9bdd7300-8feb-11eb-97ed-5babead385f4.png">
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"_The documentation is not available anymore as the PR was closed or merged._",
"100% agree that the checksum verification is overkill and not super useful. But I think this PR would also disable the check on num_examples no ?\r\n \r\nAs a user I would like to know if the dataset I'm loading changed significantly... | 2022-11-25T18:39:09 | 2023-02-13T16:50:42 | 2023-02-13T16:43:47 | CONTRIBUTOR | null | 0 | {
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} | Skip the dataset verifications (split and checksum verifications, duplicate keys check) by default unless a dataset is being tested (`datasets-cli test/run_beam`). The main goal is to avoid running the checksum check in the default case due to how expensive it can be for large datasets.
PS: Maybe we should deprecate `ignore_verifications`, which is `True` now by default, and give it a different name? | {
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"Thanks @brainshawn for this update"
] | 2020-07-03T11:23:19 | 2020-07-03T12:33:50 | 2020-07-03T12:33:50 | CONTRIBUTOR | null | 0 | {
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"I don't think we need completion on the datasets-cli, since we're mainly developing huggingface-cli",
"I see."
] | 2022-11-19T13:48:59 | 2022-11-21T15:06:15 | 2022-11-21T15:06:14 | NONE | null | null | null | ### Feature request
Like <https://github.com/huggingface/huggingface_hub/issues/1197>, datasets-cli maybe need it, too.
### Motivation
See above.
### Your contribution
Maybe. | {
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https://api.github.com/repos/huggingface/datasets/issues/6220 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/6220/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/6220/comments | https://api.github.com/repos/huggingface/datasets/issues/6220/events | https://github.com/huggingface/datasets/pull/6220 | 1,884,285,980 | PR_kwDODunzps5ZspRb | 6,220 | Set dev version | {
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"The docs for this PR live [here](https://moon-ci-docs.huggingface.co/docs/datasets/pr_6220). All of your documentation changes will be reflected on that endpoint.",
"<details>\n<summary>Show benchmarks</summary>\n\nPyArrow==8.0.0\n\n<details>\n<summary>Show updated benchmarks!</summary>\n\n### Benchmark: benchma... | 2023-09-06T15:40:33 | 2023-09-06T15:52:33 | 2023-09-06T15:41:13 | MEMBER | null | 0 | {
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https://api.github.com/repos/huggingface/datasets/issues/3411 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/3411/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/3411/comments | https://api.github.com/repos/huggingface/datasets/issues/3411/events | https://github.com/huggingface/datasets/issues/3411 | 1,075,846,272 | I_kwDODunzps5AIByA | 3,411 | [chinese wwm] load_datasets behavior not as expected when using run_mlm_wwm.py script | {
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"@LysandreJik not so sure who to @\r\nCould you help?",
"Hi @hyusterr, I believe it is @wlhgtc from https://github.com/huggingface/transformers/pull/9887"
] | 2021-12-09T17:54:35 | 2021-12-22T11:21:33 | null | NONE | null | null | null | ## Describe the bug
Model I am using (Bert, XLNet ...): bert-base-chinese
The problem arises when using:
* [https://github.com/huggingface/transformers/blob/master/examples/research_projects/mlm_wwm/run_mlm_wwm.py] the official example scripts: `rum_mlm_wwm.py`
The tasks I am working on is: pretraining whole word masking with my own dataset and ref.json file
I tried follow the run_mlm_wwm.py procedure to do whole word masking on pretraining task. my file is in .txt form, where one line represents one sample, with `9,264,784` chinese lines in total. the ref.json file is also contains 9,264,784 lines of whole word masking reference data for my chinese corpus. but when I try to adapt the run_mlm_wwm.py script, it shows that somehow after
`datasets["train"] = load_dataset(...`
`len(datasets["train"])` returns `9,265,365`
then, after `tokenized_datasets = datasets.map(...`
`len(tokenized_datasets["train"])` returns `9,265,279`
I'm really confused and tried to trace code by myself but can't know what happened after a week trial.
I want to know what happened in the `load_dataset()` function and `datasets.map` here and how did I get more lines of data than I input. so I'm here to ask.
## To reproduce
Sorry that I can't provide my data here since it did not belong to me. but I'm sure I remove the blank lines.
## Expected behavior
I expect the code run as it should. but the AssertionError in line 167 keeps raise as the line of reference json and datasets['train'] differs.
Thanks for your patient reading!
## Environment info
<!-- You can run the command `datasets-cli env` and copy-and-paste its output below. -->
- `datasets` version: 1.8.0
- Platform: Linux-5.4.0-91-generic-x86_64-with-glibc2.29
- Python version: 3.8.10
- PyArrow version: 3.0.0
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https://api.github.com/repos/huggingface/datasets/issues/704 | https://api.github.com/repos/huggingface/datasets | https://api.github.com/repos/huggingface/datasets/issues/704/labels{/name} | https://api.github.com/repos/huggingface/datasets/issues/704/comments | https://api.github.com/repos/huggingface/datasets/issues/704/events | https://github.com/huggingface/datasets/pull/704 | 713,572,556 | MDExOlB1bGxSZXF1ZXN0NDk2ODY2NTQ0 | 704 | Fix remote tests for new datasets | {
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} | When adding a new dataset, the remote tests fail because they try to get the new dataset from the master branch (i.e., where the dataset doesn't exist yet)
To fix that I reverted to the use of the HF API that fetch the available datasets on S3 that is synced with the master branch | {
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