Dataset Viewer
The dataset viewer is not available for this subset.
Cannot get the split names for the config 'default' of the dataset.
Exception: SplitsNotFoundError
Message: The split names could not be parsed from the dataset config.
Traceback: Traceback (most recent call last):
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 286, in get_dataset_config_info
for split_generator in builder._split_generators(
^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 91, in _split_generators
pa_table = next(iter(self._generate_tables(**splits[0].gen_kwargs, allow_full_read=False)))[1]
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/packaged_modules/json/json.py", line 193, in _generate_tables
examples = [ujson_loads(line) for line in batch.splitlines()]
^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/utils/json.py", line 20, in ujson_loads
return pd.io.json.ujson_loads(*args, **kwargs)
^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
ValueError: Expected object or value
The above exception was the direct cause of the following exception:
Traceback (most recent call last):
File "/src/services/worker/src/worker/job_runners/config/split_names.py", line 65, in compute_split_names_from_streaming_response
for split in get_dataset_split_names(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 340, in get_dataset_split_names
info = get_dataset_config_info(
^^^^^^^^^^^^^^^^^^^^^^^^
File "/usr/local/lib/python3.12/site-packages/datasets/inspect.py", line 291, in get_dataset_config_info
raise SplitsNotFoundError("The split names could not be parsed from the dataset config.") from err
datasets.inspect.SplitsNotFoundError: The split names could not be parsed from the dataset config.Need help to make the dataset viewer work? Make sure to review how to configure the dataset viewer, and open a discussion for direct support.
Car Triplet and Picture Dataset
Dataset Overview
This dataset contains car-related triplets and pictures collected from various sources. It provides a comprehensive collection of car models, their attributes, and associated images.
Key Statistics
- Total Triplets: 365,717
- Total HTTP Images: 1,088,653
- Car Models: 2,672
- Triplet Files: 2,143 (in CarTriplet directory)
- Picture Files: 2,667 (in CarPicture directory)
Data Structure
Triplet Format
Each triplet in the dataset follows this structure:
{
"情感词": ["情感词1", "情感词2"],
"外观特征": ["特征1", "特征2"],
"图片": [
["http://example.com/image1.jpg", "http://example.com/image2.jpg"]
],
"频率": 1
}
- 情感词 (Sentiment Words): Words describing the sentiment towards the car feature
- 外观特征 (Appearance Features): Features describing the car's appearance
- 图片 (Images): Groups of image URLs related to the feature
- 频率 (Frequency): Frequency of the feature
Data Sources
The comment data and image data in this dataset were collected from the following automotive websites:
The data was extracted through a combination of:
- Web Scraping: Using crawlers to collect raw data from the websites
- Script Processing: Using scripts to clean and structure the collected data
- Large Language Model Processing: Using LLMs to extract and organize triplet information from the raw data
License
This dataset is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. You are free to:
- Share: copy and redistribute the material in any medium or format
- Adapt: remix, transform, and build upon the material for any purpose, even commercially
Under the following terms:
- Attribution: You must give appropriate credit, provide a link to the license, and indicate if changes were made. You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
Acknowledgments
We would like to thank all the sources that contributed to this dataset. Their valuable information has made this comprehensive collection possible.
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