china-ai-law-challenge/cail2018
--- annotations_creators: - found language_creators: - found language: - zh license: - unknown multilinguality: - monolingual size_categories: - 1M<n<10M source_datasets: - original task_categories: - other task_ids: [] paperswithcode_id: chinese-ai-and-law-cail-2018 pretty_name: CAIL 2018 tags: - judgement-prediction dataset_info: features: - name: fact dtype: string - name: relevant_articles sequence: int32 - name: accusation sequence: string - name: punish_of_money dtype: float32 - name: criminals sequence: string - name: death_penalty dtype: bool - name: imprisonment dtype: float32 - name: life_imprisonment dtype: bool splits: - name: exercise_contest_train num_bytes: 220112348 num_examples: 154592 - name: exercise_contest_valid num_bytes: 21702109 num_examples: 17131 - name: exercise_contest_test num_bytes: 41057538 num_examples: 32508 - name: first_stage_train num_bytes: 1779653382 num_examples: 1710856 - name: first_stage_test num_bytes: 244334666 num_examples: 217016 - name: final_test num_bytes: 44194611 num_examples: 35922 download_size: 1167828091 dataset_size: 2351054654 configs: - config_name: default data_files: - split: exercise_contest_train path: data/exercise_contest_train-* - split: exercise_contest_valid path: data/exercise_contest_valid-* - split: exercise_contest_test path: data/exercise_contest_test-* - split: first_stage_train path: data/first_stage_train-* - split: first_stage_test path: data/first_stage_test-* - split: final_test path: data/final_test-* --- --- # Dataset Card for CAIL 2018 ## Table of Contents - [Dataset Description](#dataset-description) - [Dataset Summary](#dataset-summary) - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards) - [Languages](#languages) - [Dataset Structure](#dataset-structure) - [Data Instances](#data-instances) - [Data Fields](#data-fields) - [Data Splits](#data-splits) - [Dataset Creation](#dataset-creation) - [Curation Rationale](#curation-rationale) - [Source Data](#source-data) - [Annotations](#annotations) - [Personal and Sensitive Information](#personal-and-sensitive-information) - [Considerations for Using the Data](#considerations-for-using-the-data) - [Social Impact of Dataset](#social-impact-of-dataset) - [Discussion of Biases](#discussion-of-biases) - [Other Known Limitations](#other-known-limitations) - [Additional Information](#additional-information) - [Dataset Curators](#dataset-curators) - [Licensing Information](#licensing-information) - [Citation Information](#citation-information) - [Contributions](#contributions) ## Dataset Description - **Homepage:** [Github](https://github.com/thunlp/CAIL/blob/master/README_en.md) - **Repository:** [Github](https://github.com/thunlp/CAIL) - **Paper:** [Arxiv](https://arxiv.org/abs/1807.02478) - **Leaderboard:** - **Point of Contact:** ### Dataset Summary [More Information Needed] ### Supported Tasks and Leaderboards [More Information Needed] ### Languages [More Information Needed] ## Dataset Structure ### Data Instances [More Information Needed] ### Data Fields [More Information Needed] ### Data Splits [More Information Needed] ## Dataset Creation ### Curation Rationale [More Information Needed] ### Source Data #### Initial Data Collection and Normalization [More Information Needed] #### Who are the source language producers? [More Information Needed] ### Annotations #### Annotation process [More Information Needed] #### Who are the annotators? [More Information Needed] ### Personal and Sensitive Information [More Information Needed] ## Considerations for Using the Data ### Social Impact of Dataset [More Information Needed] ### Discussion of Biases [More Information Needed] ### Other Known Limitations [More Information Needed] ## Additional Information ### Dataset Curators [More Information Needed] ### Licensing Information [More Information Needed] ### Citation Information [More Information Needed] ### Contributions Thanks to [@JetRunner](https://github.com/JetRunner) for adding this dataset.
Description
Dataset Card for CAIL 2018
Dataset Description
Dataset Summary
- Language: Chinese
- License: Unknown
- Multilinguality: Monolingual
- Size Category: 1M < n < 10M
- Source Dataset: Raw data
- Task Category: Other
- Paper ID: chinese‑ai‑and‑law‑cail‑2018
- Tags: judgement‑prediction
- Dataset Name: CAIL 2018
Dataset Structure
Data Fields
- fact: string
- relevant_articles: integer sequence
- accusation: string sequence
- punish_of_money: float
- criminals: string sequence
- death_penalty: boolean
- imprisonment: float
- life_imprisonment: boolean
Data Splits
- exercise_contest_train: 220,112,348 bytes, 154,592 samples
- exercise_contest_valid: 21,702,109 bytes, 17,131 samples
- exercise_contest_test: 41,057,538 bytes, 32,508 samples
- first_stage_train: 1,779,653,382 bytes, 1,710,856 samples
- first_stage_test: 244,334,666 bytes, 217,016 samples
- final_test: 44,194,611 bytes, 35,922 samples
Dataset Size
- Download Size: 1,167,828,091 bytes
- Dataset Size: 2,351,054,654 bytes
Configuration
- Config Name: default
- Data Files:
- exercise_contest_train: data/exercise_contest_train-*
- exercise_contest_valid: data/exercise_contest_valid-*
- exercise_contest_test: data/exercise_contest_test-*
- first_stage_train: data/first_stage_train-*
- first_stage_test: data/first_stage_test-*
- final_test: data/final_test-*
AI studio
Generate PPTs instantly with Nano Banana Pro.
Generate PPT NowAccess Dataset
Please login to view download links and access full dataset details.
Topics
Source
Organization: hugging_face
Created: Unknown
Power Your Data Analysis with Premium AI Models
Supporting GPT-5, Claude-4, DeepSeek v3, Gemini and more.
Enjoy a free trial and save 20%+ compared to official pricing.