asingh15/arc-barc-processed-direct-max4k-gpt5miniabstractions-comparegold-test-shortsol-uf-qwensols-7of16

该数据集包含多个特征字段，包括提示（prompt）、响应（responses）、训练集标识（train）、测试集标识（test）、来源（source）、答案（answer）、标记数量（num_tokens）、平均汉明距离（avg_hamming_distance）、平均匹配百分比（avg_percentage_match）、平均正确率（avg_is_correct）、平均响应长度（avg_response_length）、汉明距离列表（hamming_distances）、匹配百分比列表（percentage_matches）、响应长度列表（response_lengths）、提取的响应列表（extracted_responses）和抽象列表（abstractions）。数据集分为训练集和测试集，训练集包含136个样本，总大小为56729001字节。

The dataset includes multiple feature fields such as prompt, responses, train identifier, test identifier, source, answer, number of tokens (num_tokens), average Hamming distance (avg_hamming_distance), average percentage match (avg_percentage_match), average correctness (avg_is_correct), average response length (avg_response_length), list of Hamming distances (hamming_distances), list of percentage matches (percentage_matches), list of response lengths (response_lengths), list of extracted responses (extracted_responses), and list of abstractions (abstractions). The dataset is divided into train and test sets, with the train set containing 136 samples and a total size of 56729001 bytes.