imperialwarrior/open-australian-legal-qa-paraphrased-easy-gpt-with-emb
收藏资源简介：
--- dataset_info: features: - name: pipeline_1_result dtype: string - name: pipeline_1_result_r_embeddings sequence: float64 - name: pipeline_1_result_nr_embeddings sequence: float64 - name: pipeline_2_context dtype: string - name: pipeline_2_result dtype: string - name: pipeline_2_result_r_embeddings sequence: float64 - name: pipeline_2_result_nr_embeddings sequence: float64 - name: pipeline_3_context dtype: string - name: pipeline_3_result dtype: string - name: pipeline_3_result_r_embeddings sequence: float64 - name: pipeline_3_result_nr_embeddings sequence: float64 - name: pipeline_4_context dtype: string - name: pipeline_4_result dtype: string - name: pipeline_4_result_r_embeddings sequence: float64 - name: pipeline_4_result_nr_embeddings sequence: float64 - name: pipeline_5_context dtype: string - name: pipeline_5_result dtype: string - name: pipeline_5_result_r_embeddings sequence: float64 - name: pipeline_5_result_nr_embeddings sequence: float64 - name: pipeline_6_context dtype: string - name: pipeline_6_result dtype: string - name: pipeline_6_result_r_embeddings sequence: float64 - name: pipeline_6_result_nr_embeddings sequence: float64 - name: pipeline_7_context dtype: string - name: pipeline_7_result dtype: string - name: pipeline_7_result_r_embeddings sequence: float64 - name: pipeline_7_result_nr_embeddings sequence: float64 - name: referenced_question dtype: string - name: answer dtype: string - name: answer_non_retrieval_embeddings dtype: string - name: answer_retrieval_embeddings dtype: string - name: question dtype: string - name: question_retrieval_embeddings dtype: string - name: question_non_retrieval_embeddings dtype: string - name: __index_level_0__ dtype: float64 - name: case_index dtype: float64 - name: pipeline_6_case_indexes sequence: int64 - name: pipeline_7_case_indexes sequence: int64 splits: - name: train num_bytes: 137944644 num_examples: 208 download_size: 32779364 dataset_size: 137944644 configs: - config_name: default data_files: - split: train path: data/train-* ---
This dataset includes processing results and context information from multiple pipelines, along with related questions and answers. Specific features include processing results, embedding vectors, referenced questions, answers, and their embedding vectors from various pipelines. The dataset is divided into a training set with 208 samples.
数据集概述
特征信息
数据集包含以下特征：
pipeline_1_result: 字符串类型pipeline_1_result_r_embeddings: 浮点数序列pipeline_1_result_nr_embeddings: 浮点数序列pipeline_2_context: 字符串类型pipeline_2_result: 字符串类型pipeline_2_result_r_embeddings: 浮点数序列pipeline_2_result_nr_embeddings: 浮点数序列pipeline_3_context: 字符串类型pipeline_3_result: 字符串类型pipeline_3_result_r_embeddings: 浮点数序列pipeline_3_result_nr_embeddings: 浮点数序列pipeline_4_context: 字符串类型pipeline_4_result: 字符串类型pipeline_4_result_r_embeddings: 浮点数序列pipeline_4_result_nr_embeddings: 浮点数序列pipeline_5_context: 字符串类型pipeline_5_result: 字符串类型pipeline_5_result_r_embeddings: 浮点数序列pipeline_5_result_nr_embeddings: 浮点数序列pipeline_6_context: 字符串类型pipeline_6_result: 字符串类型pipeline_6_result_r_embeddings: 浮点数序列pipeline_6_result_nr_embeddings: 浮点数序列pipeline_7_context: 字符串类型pipeline_7_result: 字符串类型pipeline_7_result_r_embeddings: 浮点数序列pipeline_7_result_nr_embeddings: 浮点数序列referenced_question: 字符串类型answer: 字符串类型answer_non_retrieval_embeddings: 字符串类型answer_retrieval_embeddings: 字符串类型question: 字符串类型question_retrieval_embeddings: 字符串类型question_non_retrieval_embeddings: 字符串类型__index_level_0__: 浮点数类型case_index: 浮点数类型pipeline_6_case_indexes: 整数序列pipeline_7_case_indexes: 整数序列
数据分割
train: 包含208个样本，数据大小为137944644字节
数据集大小
- 下载大小: 32779364字节
- 数据集大小: 137944644字节
配置信息
- 配置名称:
default - 数据文件路径:
data/train-*
