asingh15/arc-barc-processed-direct-max4k-gpt5betterabs-solutions-all-valid

该数据集包含了文本提示(prompt)、响应(responses)、更好的抽象(better_abstractions)等字段。它还包含了多数响应(majority_response)及其正确性、频率等统计信息。此外，数据集还提供了当前抽象(current_abstraction)、抽象提示(abstraction_prompt)及其长度、生成的抽象(generated_abstractions)等信息。数据集被划分为训练集(train)和测试集(test)，并提供了数据集的来源(source)、答案(answer)、token数量(num_tokens)、汉明距离平均值(avg_hamming_distance)、匹配百分比平均值(avg_percentage_match)、正确率平均值(avg_is_correct)、响应长度平均值(avg_response_length)等统计数据。数据集还包括了汉明距离(hamming_distances)、匹配百分比(percentage_matches)、正确性(is_corrects)、响应长度(response_lengths)等序列数据，以及提取的响应(extracted_responses)的嵌套序列数据。

The dataset includes fields such as text prompts (prompt), responses (responses), better abstractions (better_abstractions), etc. It also contains statistics about the majority response (majority_response) including correctness, frequency, and more. Additionally, the dataset provides information about the current abstraction (current_abstraction), abstraction prompts (abstraction_prompt) and their lengths, generated abstractions (generated_abstractions), etc. The dataset is split into training set (train) and test set (test), and provides dataset source (source), answer (answer), number of tokens (num_tokens), average Hamming distance (avg_hamming_distance), average percentage match (avg_percentage_match), average correctness rate (avg_is_correct), average response length (avg_response_length), and other statistical data. The dataset also includes sequence data such as Hamming distances (hamming_distances), percentage matches (percentage_matches), correctness (is_corrects), response lengths (response_lengths), and nested sequence data of extracted responses (extracted_responses).