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This bug is triggered under the following conditions:
- datasets repo ids without organization names trigger errors, such as `bookcorpus`, `gsm8k`, `wikipedia`.
- If `HF_ENDPOINT` is set and the hostname is not in the form of `(hub-ci.)?huggingface.co`.
- specific versions of `datasets` and `... | 2024-03-11T09:09:07Z | https://github.com/huggingface/datasets/issues/6728 | {
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When working with bio-data, each feature often has metadata associated with it (e.g. species, lineage, snp position, etc). To store this, I like to use the feature classes with the added `metadata` attribute. However, when saving or loading with custom features, you get an error since that class doesn't exist... | 2024-03-10T18:25:01Z | https://github.com/huggingface/datasets/pull/6727 | {
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# Let's make it faster
First, an evidence...
Figure 1: CProfile for loading 3 files from cerebras/SlimPajama-627B train split, and 3 files from test split using streaming=True. X axis is 1106... | 2024-03-09T07:11:08Z | https://github.com/huggingface/datasets/issues/6726 | {
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Request for a comparison of huggingface datasets compared with other data format especially webdataset
### Motivation
I see huggingface datasets uses Apache Arrow as its backend, it seems to be great, but I'm curious about how it is good compared with other dataset format, like webdataset, what's... | 2024-03-08T08:23:01Z | https://github.com/huggingface/datasets/issues/6725 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | ### Describe the bug
My data repository was first called `BramVanroy/hplt-mono-v1-2` but I then renamed to use underscores instead of dashes. However, it seems that `datasets` retrieves the old repo name when it checks whether the repo contains data loading scripts in this line.
https://github.com/huggingface/dat... | 2024-03-07T20:06:25Z | https://github.com/huggingface/datasets/issues/6724 | {
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_Originally posted by @WHU-gentle in https://github.com/huggingface/datasets/issues/2976#issuecomment-1333455222_
| 2024-03-07T13:58:40Z | https://github.com/huggingface/datasets/issues/6721 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | ### Describe the bug
I am trying to get the HPLT datasets on the hub. Downloading/re-uploading would be too time- and resource consuming so I wrote [a dataset loader script](https://huggingface.co/datasets/BramVanroy/hplt_mono_v1_2/blob/main/hplt_mono_v1_2.py). I think I am very close but for some reason I always get ... | 2024-03-08T07:34:53Z | https://github.com/huggingface/datasets/issues/6720 | {
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I am using an iterable dataset in a multi-node setup, trying to do training/inference while filtering the data on the fly. I usually do not use `split_dataset_by_node` but it is very slow using the IterableDatasetShard in `accelerate` and `transformers`. When I filter after applying `split_dataset... | 2024-03-05T15:55:13Z | https://github.com/huggingface/datasets/issues/6719 | {
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cc @clefourrier | 2024-03-07T14:05:53Z | https://github.com/huggingface/datasets/pull/6718 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
When loading a HF dataset in streaming mode and removing some columns, it is impossible to load a sample if the audio contains more than one channel. I have the impression that the time axis and channels are swapped or concatenated.
### Steps to reproduce the bug
Minimal error code:
```python
... | 2024-03-05T10:32:19Z | https://github.com/huggingface/datasets/issues/6717 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
I'm not sure if this is a bug, but `print(ds.builder_name)` in the following code sometimes prints out `rotten_tomatoes` instead of `parquet`:
```python
import datasets
for _ in range(100):
ds = datasets.load_dataset("rotten_tomatoes", split="train")
print(ds.builder_name) # pr... | 2024-03-05T09:27:24Z | https://github.com/huggingface/datasets/issues/6716 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | A sliced + pickled ConcatenationTable could end up with a different schema than the original schema, if the slice only contains blocks with only a subset of the columns.
This can lead to issues when saving datasets from a concatenation of datasets with mixed schemas
Reported in https://discuss.huggingface.co/t/da... | 2024-03-05T11:23:05Z | https://github.com/huggingface/datasets/pull/6715 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | E.g., to have info about a dataset's number of examples for more informative TQDM bars. | 2024-03-04T20:28:30Z | https://github.com/huggingface/datasets/pull/6714 | {
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"following_url": "https://api.github.com/users/albertvillanova/following{/other_user}",... | Bump huggingface-hub lower version to 0.21.2 | https://api.github.com/repos/huggingface/datasets/issues/6713/events | null | https://api.github.com/repos/huggingface/datasets/issues/6713/labels{/name} | 2024-03-04T13:00:52Z | null | false | null | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | This should fix the version compatibility issue when using `huggingface_hub` < 0.21.2 and latest fsspec (>=2023.12.0).
See my comment: https://github.com/huggingface/datasets/pull/6687#issuecomment-1976493336
>> EDIT: the fix has been released in `huggingface_hub` 0.21.2 - I removed my commits that were using `hugg... | 2024-03-04T18:14:03Z | https://github.com/huggingface/datasets/pull/6713 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | I was preparing some datasets for AI training and noticed that `datasets` by HuggingFace uses the conventional `open` mechanism to read the file and split it into chunks. I thought it can be significantly accelerated, and [started with a benchmark](https://gist.github.com/ashvardanian/55c2052e9f78b05b8d614aa90cb12347):... | 2024-03-04T15:15:51Z | https://github.com/huggingface/datasets/pull/6711 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | Use shared memory for the IterableDataset epoch.
This way calling `ds.set_epoch()` in the main process will update the epoch in the DataLoader workers as well.
This is useful especially because the epoch is used to compute the `effective_seed` used for shuffling.
I used torch's shared memory in case users want t... | 2024-03-06T14:41:54Z | https://github.com/huggingface/datasets/pull/6710 | {
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```python
from datasets import load_dataset_builder
revision = "3d406e70bc21c3ca92a9a229b4c6fc3ed88279fd"
b = load_dataset_builder("bigcode/the-stack-v2-dedup", data_dir="data/Dockerfile", revision=revision)
print(b.config.data_files)
```
Previously it would ret... | 2024-03-01T18:59:06Z | https://github.com/huggingface/datasets/pull/6705 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | Separate the default patterns that match directories from the ones matching files and ensure directories are checked first (reverts the change from https://github.com/huggingface/datasets/pull/6244, which merged these patterns). Also, ensure that the glob patterns do not overlap to avoid duplicates in the result.
fi... | 2024-03-07T17:23:44Z | https://github.com/huggingface/datasets/pull/6704 | {
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"",
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
I get the following error message: You are trying to load a dataset that was saved using `save_to_disk`. Please use `load_from_disk` instead.
### Steps to reproduce the bug
1. Save a dataset with `save_to_disk`
2. Try to load it with `load_datasets`
### Expected behavior
I am ab... | 2024-03-04T13:46:20Z | https://github.com/huggingface/datasets/issues/6703 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Feature request
Say I have the following code:
```
from datasets import Dataset
import pandas as pd
new_data = {
"column_1": ["value1", "value2"],
"column_2": ["value3", "value4"],
}
df_new = pd.DataFrame(new_data)
dataset_new = Dataset.from_pandas(df_new)
# add these samples to a remote datase... | 2024-03-08T21:08:38Z | https://github.com/huggingface/datasets/issues/6702 | {
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I tried on O... | 2024-02-29T15:15:18Z | https://github.com/huggingface/datasets/pull/6701 | {
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"gists_u... | remove_columns is not in-place but the doc shows it is in-place | https://api.github.com/repos/huggingface/datasets/issues/6700/events | null | https://api.github.com/repos/huggingface/datasets/issues/6700/labels{/name} | 2024-02-28T12:36:22Z | null | false | null | null | 2,158,871,038 | [] | https://api.github.com/repos/huggingface/datasets/issues/6700 | [
"",
""
] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
The doc of `datasets` v2.17.0/v2.17.1 shows that `remove_columns` is in-place. [link](https://huggingface.co/docs/datasets/v2.17.1/en/package_reference/main_classes#datasets.DatasetDict.remove_columns)
In the text classification example of transformers v4.38.1, the columns are not removed.
h... | 2024-02-29T03:02:54Z | https://github.com/huggingface/datasets/issues/6700 | {
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"",
""
] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Will unexpected get keys with `None` value in the parsed json dict.
### Steps to reproduce the bug
```jsonl test.jsonl
{"id": 0, "indexs": {"-1": [0, 10]}}
{"id": 1, "indexs": {"-1": [0, 10]}}
```
```python
dataset = Dataset.from_json('.test.jsonl')
print(dataset[0])
```
Result:
```... | 2024-02-28T19:14:36Z | https://github.com/huggingface/datasets/issues/6699 | {
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"",
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Having installed the latest versions of transformers==4.38.1 and datasets==2.17.1 Unable to load the dataset in a kaggle notebook.
Get this Error:
```
---------------------------------------------------------------------------
ValueError Traceback (most recen... | 2024-02-29T17:32:42Z | https://github.com/huggingface/datasets/issues/6697 | {
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Fix #6695. | 2024-02-28T06:45:23Z | https://github.com/huggingface/datasets/pull/6696 | {
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See: https://huggingface.co/datasets/CausalLM/Refined-Anime-Text/discussions/1 | 2024-03-08T14:16:25Z | https://github.com/huggingface/datasets/issues/6695 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | It's too cumbersome to write this command every time we perform a dataset merging operation. ```pythonfrom datasets import concatenate_datasets``` We have added a simple `__add__` magic method to each class using `concatenate_datasets.`
```python
from datasets import load_dataset
bookcorpus = load_dataset("bookc... | 2024-02-29T16:52:58Z | https://github.com/huggingface/datasets/pull/6694 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Feature request
the load_dataset() for local functions support file types like csv, json etc but not of type tsv (tab separated values).
### Motivation
cant easily load files of type tsv, have to convert them to another type like csv then load
### Your contribution
Can try by raising a PR with a little help, c... | 2024-02-26T07:15:07Z | https://github.com/huggingface/datasets/issues/6691 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | Add function to convert a script-dataset to Parquet and push it to the Hub, analogously to the Space: "Convert a Hugging Face dataset to Parquet" | 2024-02-23T10:28:20Z | https://github.com/huggingface/datasets/issues/6690 | {
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https://api.github.com/repos/huggingface/datasets/issues/6689/comments | https://api.github.com/repos/huggingface/datasets/issues/6689/timeline | 2024-03-07T14:54:15Z | null | completed | I_kwDODunzps6AIAFb | closed | [] | null | 6,689 | {
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"gists_url"... | .load_dataset() method defaults to zstandard | https://api.github.com/repos/huggingface/datasets/issues/6689/events | null | https://api.github.com/repos/huggingface/datasets/issues/6689/labels{/name} | 2024-02-22T17:39:27Z | null | false | null | null | 2,149,581,147 | [] | https://api.github.com/repos/huggingface/datasets/issues/6689 | [
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Regardless of what method I use, datasets defaults to zstandard for unpacking my datasets.
This is poor behavior, because not only is zstandard not a dependency in the huggingface package (and therefore, your dataset loading will be interrupted while it asks you to install the package), but it ... | 2024-03-07T14:54:16Z | https://github.com/huggingface/datasets/issues/6689 | {
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https://api.github.com/repos/huggingface/datasets/issues/6688/comments | https://api.github.com/repos/huggingface/datasets/issues/6688/timeline | null | null | null | I_kwDODunzps6AES9D | open | [] | null | 6,688 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
I don't know if it is a bug or an expected behavior, but the tensor type seems to be ignored after applying map. For example, mapping over to tokenize text with a transformers' tokenizer always returns lists and it ignore the `return_tensors` argument.
If this is an expected behaviour (e.g., fo... | 2024-02-22T15:56:21Z | https://github.com/huggingface/datasets/issues/6688 | {
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https://api.github.com/repos/huggingface/datasets/issues/6687/comments | https://api.github.com/repos/huggingface/datasets/issues/6687/timeline | 2024-02-29T15:12:17Z | null | null | PR_kwDODunzps5nnqBB | closed | [] | false | 6,687 | {
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Should close #6644
Should close #6645
The `test_data_files` glob/pattern tests pass for me in:
- `fsspec==2023.10.0` (the pinned max version in datasets `main`)
- `fsspec==2023.12.0` (#6644)
- `fsspec... | 2024-03-04T12:59:42Z | https://github.com/huggingface/datasets/pull/6687 | {
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"gists_url"... | Question: Is there any way for uploading a large image dataset? | https://api.github.com/repos/huggingface/datasets/issues/6686/events | null | https://api.github.com/repos/huggingface/datasets/issues/6686/labels{/name} | 2024-02-21T22:07:21Z | null | false | null | null | 2,147,795,103 | [] | https://api.github.com/repos/huggingface/datasets/issues/6686 | [
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```
dataset = load_dataset(
"json",
data_files={"train": "data/custom_dataset/train.json", "validation": "data/custom_dataset/val.json"},
)
dataset = dataset.cast_column("images", Sequence(Image()))
dataset.push_to_hub("StanfordAIMI/custom_dataset", max_shard_si... | 2024-02-21T22:07:21Z | https://github.com/huggingface/datasets/issues/6686 | {
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https://api.github.com/repos/huggingface/datasets/issues/6685/comments | https://api.github.com/repos/huggingface/datasets/issues/6685/timeline | 2024-02-25T18:48:08Z | null | null | PR_kwDODunzps5ndZQa | closed | [] | false | 6,685 | {
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https://api.github.com/repos/huggingface/datasets/issues/6684/comments | https://api.github.com/repos/huggingface/datasets/issues/6684/timeline | 2024-02-20T15:33:56Z | null | null | PR_kwDODunzps5nYUIf | closed | [] | false | 6,684 | {
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https://api.github.com/repos/huggingface/datasets/issues/6683/comments | https://api.github.com/repos/huggingface/datasets/issues/6683/timeline | 2024-02-19T17:18:10Z | null | null | PR_kwDODunzps5nTxGu | closed | [] | false | 6,683 | {
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Fix #6679. | 2024-02-28T07:02:40Z | https://github.com/huggingface/datasets/pull/6682 | {
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We should update them to Node 20.
See warnings in our CI, e.g.: https://github.com/huggingface/datasets/actions/runs/7957295009?pr=6678
> Node.js 16 actions are deprecat... | 2024-02-28T06:56:35Z | https://github.com/huggingface/datasets/issues/6679 | {
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Pass download config in as an arg too. | 2024-02-28T18:57:39Z | https://github.com/huggingface/datasets/pull/6677 | {
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"g... | Can't Read List of JSON Files Properly | https://api.github.com/repos/huggingface/datasets/issues/6676/events | null | https://api.github.com/repos/huggingface/datasets/issues/6676/labels{/name} | 2024-02-17T22:58:15Z | null | false | null | null | 2,140,648,619 | [] | https://api.github.com/repos/huggingface/datasets/issues/6676 | [
"",
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Trying to read a bunch of JSON files into Dataset class but default approach doesn't work. I don't get why it works when I read it one by one but not when I pass as a list :man_shrugging:
The code fails with
```
ArrowInvalid: JSON parse error: Invalid value. in row 0
UnicodeDecodeError... | 2024-03-02T20:47:22Z | https://github.com/huggingface/datasets/issues/6676 | {
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Typical torchvision / torch Datasets in image applications apply color conversion in the Dataset portion of the code as part of image decode, separately from the image transform stack. This is true for PIL.Image where convert is usually called in dataset, for native torchvision https://pytorch.or... | 2024-03-01T19:43:55Z | https://github.com/huggingface/datasets/issues/6675 | {
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"gists_url"... | Depprcated Overview.ipynb Link to new Quickstart Notebook invalid | https://api.github.com/repos/huggingface/datasets/issues/6674/events | null | https://api.github.com/repos/huggingface/datasets/issues/6674/labels{/name} | 2024-02-16T22:51:35Z | null | false | null | null | 2,139,595,576 | [] | https://api.github.com/repos/huggingface/datasets/issues/6674 | [
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For the dreprecated notebook found [here](https://github.com/huggingface/datasets/blob/main/notebooks/Overview.ipynb). The link to the new notebook is broken.
### Steps to reproduce the bug
Click the [Quickstart notebook](https://github.com/huggingface/notebooks/blob/main/datasets_doc/quicksta... | 2024-02-25T18:48:09Z | https://github.com/huggingface/datasets/issues/6674 | {
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When persistent workers are enabled, the epoch that's set via the IterableDataset instance held by the training process is ignored by the workers as they are disconnected across processes.
PyTorch samplers for non-iterable datasets have a mechanism to sync this, datasets.IterableDataset does ... | 2024-02-22T13:17:14Z | https://github.com/huggingface/datasets/issues/6673 | {
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Note that the `verbose` parameter is deprecated since pandas 2.2.0. See:
- https://github.com/pandas-dev/pandas/pull/56556
- https://github.com/pandas-dev/pandas/pull/57450
Fix #6671. | 2024-02-19T09:26:34Z | https://github.com/huggingface/datasets/pull/6672 | {
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```
FutureWarning: The 'verbose' keyword in pd.read_csv is deprecated and will be removed in a future version.
```
See:
- https://github.com/pandas-dev/pandas/pull/56556
- https://github.com/pandas-dev/pandas/pull/57450 | 2024-02-19T09:20:23Z | https://github.com/huggingface/datasets/issues/6671 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
ValueError Traceback (most recent call last)
[<ipython-input-11-9b99bc80ec23>](https://localhost:8080/#) in <cell line: 11>()
9 import numpy as np
10 import matplotlib.pyplot as plt
---> 11 from datasets import DatasetDict, Dataset
12 from transf... | 2024-02-17T04:26:34Z | https://github.com/huggingface/datasets/issues/6670 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
AttributeError Traceback (most recent call last)
Cell In[39], line 2
1 # Start the training process
----> 2 trainer.train()
File /opt/conda/lib/python3.10/site-packages/transformers/trainer.py:1539, in Trainer.train(self, resume_from_checkpoint, trial, ignore... | 2024-03-01T10:58:00Z | https://github.com/huggingface/datasets/issues/6669 | {
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"following_url": "https://api.github.com/users/hariravichandran/following{/other_use... | Chapter 6 - Issue Loading `cnn_dailymail` dataset | https://api.github.com/repos/huggingface/datasets/issues/6668/events | null | https://api.github.com/repos/huggingface/datasets/issues/6668/labels{/name} | 2024-02-16T04:40:56Z | null | false | null | null | 2,137,859,935 | [] | https://api.github.com/repos/huggingface/datasets/issues/6668 | [
"",
""
] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
So I am getting this bug when I try to run cell 4 of the Chapter 6 notebook code:
`dataset = load_dataset("ccdv/cnn_dailymail", version="3.0.0")`
Error Message:
```
---------------------------------------------------------------------------
ValueError Tracebac... | 2024-02-16T04:40:56Z | https://github.com/huggingface/datasets/issues/6668 | {
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https://api.github.com/repos/huggingface/datasets/issues/6667/comments | https://api.github.com/repos/huggingface/datasets/issues/6667/timeline | null | null | null | I_kwDODunzps5_a8ZQ | open | [] | null | 6,667 | {
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"g... | Default config for squad is incorrect | https://api.github.com/repos/huggingface/datasets/issues/6667/events | null | https://api.github.com/repos/huggingface/datasets/issues/6667/labels{/name} | 2024-02-16T02:36:55Z | null | false | null | null | 2,137,769,552 | [] | https://api.github.com/repos/huggingface/datasets/issues/6667 | [
"",
""
] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
If you download Squad, it will download the plain_text version, but the config still specifies "default", so if you set the offline mode the cache will try to look it up according to the config_id which is "default" and this will say;
ValueError: Couldn't find cache for squad for config 'default'... | 2024-02-23T09:10:00Z | https://github.com/huggingface/datasets/issues/6667 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | Fix this code provided by @clefourrier
```python
import datasets
import os
token = os.getenv("TOKEN")
results = datasets.load_dataset("gaia-benchmark/results_public", "2023", token=token, download_mode=datasets.DownloadMode.FORCE_REDOWNLOAD)
results["test"] = datasets.Dataset.from_list([row for row in resu... | 2024-03-01T16:02:46Z | https://github.com/huggingface/datasets/pull/6665 | {
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"gists_url":... | Revert the changes in `arrow_writer.py` from #6636 | https://api.github.com/repos/huggingface/datasets/issues/6664/events | null | https://api.github.com/repos/huggingface/datasets/issues/6664/labels{/name} | 2024-02-15T01:47:33Z | null | false | null | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | #6636 broke `write_examples_on_file` and `write_batch` from the class `ArrowWriter`. I'm undoing these changes. See #6663.
Note the current implementation doesn't keep the order of the columns and the schema, thus setting a wrong schema for each column. | 2024-02-16T14:02:39Z | https://github.com/huggingface/datasets/pull/6664 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | ### Describe the bug
`write_examples_on_file` and `write_batch` are broken in `ArrowWriter` since #6636. The order between the columns and the schema is not preserved anymore. So these functions don't work anymore unless the order happens to align well.
### Steps to reproduce the bug
Try to do `write_batch` with any... | 2024-02-16T09:25:00Z | https://github.com/huggingface/datasets/issues/6663 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | When you try to download a dataset that uses [biopython](https://github.com/biopython/biopython), like `load_dataset("InstaDeepAI/multi_species_genomes")`, you get the error:
```
>>> from datasets import load_dataset
>>> dataset = load_dataset("InstaDeepAI/multi_species_genomes")
/home/j.vangoey/.pyenv/versions/m... | 2024-03-01T17:49:48Z | https://github.com/huggingface/datasets/pull/6662 | {
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"",
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Cannot be imported on Google Colab, the import throws the following error:
ValueError: pyarrow.lib.IpcWriteOptions size changed, may indicate binary incompatibility. Expected 88 from C header, got 72 from PyObject
### Steps to reproduce the bug
1. `! pip install -U datasets`
2. `import dataset... | 2024-02-25T16:37:54Z | https://github.com/huggingface/datasets/issues/6661 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | This PR addresses an issue encountered when utilizing uint16 or uint32 datatypes with datasets, followed by attempting to convert these datasets into PyTorch-compatible formats. Currently, doing so results in a TypeError due to incompatible datatype conversion, as illustrated by the following example:
```python
from ... | 2024-03-01T19:01:57Z | https://github.com/huggingface/datasets/pull/6660 | {
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Documentation asks the user to supply `to_json_kwargs` with arguments suitable for pandas' `to_json` method. At the same time, while pandas' by default uses ["infer"](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.... | 2024-03-01T17:51:50Z | https://github.com/huggingface/datasets/pull/6659 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | A simple implementation of a mechanism to resume an IterableDataset.
This is WIP and untested.
Example:
```python
from datasets import Dataset, concatenate_datasets
ds = Dataset.from_dict({"a": range(5)}).to_iterable_dataset(num_shards=3)
ds = concatenate_datasets([ds] * 2)
print(f"{ds.state_dict()=}")... | 2024-02-12T12:24:32Z | https://github.com/huggingface/datasets/pull/6658 | {
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The github actions step to publish the release 2.17.0 to conda channel has failed due to expired token. Can some one please update the anaconda token rerun the failed action? @albertvillanova ?
![image](https://github.com/huggingface/datasets/assets/7138162/1b56ad3d-7643-4778-9cce-4bf531717700... | 2024-03-06T15:06:22Z | https://github.com/huggingface/datasets/issues/6657 | {
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"",
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
When trying to load big json files from a local directory, `load_dataset` throws the following error
```
Traceback (most recent call last):
File "/miniconda3/envs/conda-env/lib/python3.10/site-packages/datasets/builder.py", line 1989, in _prepare_split_single
writer.write_table(table)
... | 2024-02-09T15:14:21Z | https://github.com/huggingface/datasets/issues/6656 | {
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When I run the following code I get an exception;
`go_emotions = load_dataset("go_emotions")`
> AttributeError Traceback (most recent call last)
Cell In[6], [line 1](vscode-notebook-cell:?execution_count=6&line=1)
----> [1](vscode-notebook-cell:?execution_count=6&l... | 2024-02-12T09:35:55Z | https://github.com/huggingface/datasets/issues/6655 | {
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I encountered a TypeError when batch processing a dataset with Sequence features in datasets package version 2.16.1. The error arises from a mismatch in handling fixed-size list arrays during the map function execution. Debugging pinpoints the issue to an if-statement in datasets/table.py, line 20... | 2024-02-12T08:26:53Z | https://github.com/huggingface/datasets/issues/6654 | {
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Support for slice splits in `datasets.load_from_disk`, similar to how it's already supported for `datasets.load_dataset`. See https://www.nature.com/articles/s41551-023-01093-3.
### Motivation
Slice splits are convienient in a numer of cases - adding support to `datasets.load_from_disk` would ma... | 2024-02-09T08:00:21Z | https://github.com/huggingface/datasets/issues/6651 | {
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```
Traceback (most recent call last):
File "finetune.py", line 103, in <module>
main(args)
File "finetune.py", line 45, in main
data_tokenized = data.map(partial(funcs.tokenize_function, tokenizer,
File "/opt/conda/envs/ptca/lib/python3.8/site-packages/datasets/dataset_dict.... | 2024-02-21T00:34:41Z | https://github.com/huggingface/datasets/issues/6650 | {
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the previous example was using a model for translation and the way it was setup was not really the right way to use the model. | 2024-02-09T17:43:32Z | https://github.com/huggingface/datasets/pull/6646 | {
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First, we should address:
- #6644 | 2024-02-29T15:12:19Z | https://github.com/huggingface/datasets/issues/6645 | {
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"",
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
I am working on a retrieval project and encountering I have encountered two issues in the hugging face faiss integration:
1. I am trying to pass in a dataset with a faiss index to the Huggingface trainer. The code works for a cpu faiss index, but doesn't for a gpu one, getting error:
```
... | 2024-02-15T10:29:32Z | https://github.com/huggingface/datasets/issues/6643 | {
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"",
""
] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
Differently sized object is saved than it is loaded.
### Steps to reproduce the bug
Hi, I save dataset in a following way:
```
dataset = load_dataset("json",
data_files={
"train": os.path.join(input_folder, f"{task_met... | 2024-02-06T09:50:19Z | https://github.com/huggingface/datasets/issues/6642 | {
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"",
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
unicodedecodeerror: 'utf-8' codec can't decode byte 0xac in position 25: invalid start byte
### Steps to reproduce the bug
```
import sys
sys.getdefaultencoding()
'utf-8'
from datasets import load_dataset
print(f"Train dataset size: {len(dataset['train'])}")
print(f"Test datase... | 2024-02-06T09:26:07Z | https://github.com/huggingface/datasets/issues/6641 | {
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Feature request
Currently, there are only several Sign Language labels, I would like to propose adding all the Signed Languages as new labels which are described in this ISO standard: https://www.evertype.com/standards/iso639/sign-language.html
### Motivation
Datasets currently only have labels for several signe... | 2024-02-02T21:54:51Z | https://github.com/huggingface/datasets/issues/6640 | {
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] | https://api.github.com/repos/huggingface/datasets | MEMBER | A first step towards https://github.com/huggingface/datasets/issues/6529 | 2024-02-06T16:54:22Z | https://github.com/huggingface/datasets/pull/6639 | {
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"",
""
] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
As of this morning (PST) 2/1/2024, seeing the wmt16 dataset is missing from opus , could you suggest an alternative?
```
Downloading data files: 0%| | 0/4 [00:00<?, ?it/s]Tra... | 2024-02-01T20:07:29Z | https://github.com/huggingface/datasets/issues/6638 | {
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"",
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] | https://api.github.com/repos/huggingface/datasets | NONE | ### Describe the bug
If you:
1. Interleave two iterable datasets together with the interleave_datasets function, or shuffle an iterable dataset
2. Set the output format to torch tensors with .with_format('torch')
Then iterating through the dataset becomes over 100x slower than it is if you don't apply the torch... | 2024-02-05T10:43:47Z | https://github.com/huggingface/datasets/issues/6637 | {
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https://api.github.com/repos/huggingface/datasets/issues/6636/comments | https://api.github.com/repos/huggingface/datasets/issues/6636/timeline | 2024-02-06T23:03:38Z | null | null | PR_kwDODunzps5lm4zI | closed | [] | false | 6,636 | {
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] | https://api.github.com/repos/huggingface/datasets | CONTRIBUTOR | I work with bioinformatics data and often these tables have thousands and even tens of thousands of features. These tables are also accompanied by metadata that I do not want to pass in the model. When I perform `set_format('pt', columns=large_column_list)` , it can take several minutes before it finishes. The culprit ... | 2024-02-07T19:39:00Z | https://github.com/huggingface/datasets/pull/6636 | {
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E.g.
```python
from datasets import load_dataset_builder
b = load_dataset_builder("bookcorpus")
print(b.info.features)
# should print {'text': Value(dtype='string', id=None)}
```
I fixed this by ... | 2024-02-07T16:48:55Z | https://github.com/huggingface/datasets/pull/6635 | {
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This allows users to organize the data files according to their specific needs. For example, "wikimedia/wikipedia" files could be organized by year and/or date, e.g. "2024/20240101/20240101.en". | 2024-02-05T10:32:49Z | https://github.com/huggingface/datasets/pull/6634 | {
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I fixed this by not passing the `config_kwargs` to the parent Builder `__init__`, and passing the config... | 2024-02-06T17:27:35Z | https://github.com/huggingface/datasets/pull/6632 | {
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cc @stas00 @williamberrios
close https://github.com/huggingface/datasets/issues/6589 | 2024-01-30T15:34:49Z | https://github.com/huggingface/datasets/pull/6631 | {
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- the behavior of `datasets` before merging #6519
- the behavior described in the corresponding docstring
- the behavior of `huggingface_hub.create_repo`
Revert "Support push_to_hub canonical datasets (#6519)"
- This reverts commit a887ee78835573f5d80f9e414e8443b4caff3541.
Fix... | 2024-02-05T12:35:43Z | https://github.com/huggingface/datasets/pull/6629 | {
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This was really useful recently to run the command on `pubmed`: https://huggingface.co/datasets/pubmed/discussions/11 | 2024-02-05T10:29:20Z | https://github.com/huggingface/datasets/pull/6628 | {
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