TylerHMC/MIDICaps-500

该数据集是一个用于机器学习或自然语言处理任务的数据集，主要特征包括input_ids（表示输入标识符的整数列表）、token_count（标记数量）、chunk_index（块索引）、num_chunks（块总数）、embedding（一个包含5个向量的嵌入列表，每个向量维度为1024）、embedding_mask（嵌入掩码）、midi_path（MIDI文件路径）和source_file（源文件路径）。数据集仅包含训练集，共有840,816个示例，总大小约为24.2 GB，下载大小约为24.1 GB。数据可能涉及音乐或音频处理，但具体用途和内容未在README中明确描述。

This dataset is designed for machine learning or natural language processing tasks, with key features including input_ids (a list of integers representing input identifiers), token_count (number of tokens), chunk_index (chunk index), num_chunks (total number of chunks), embedding (a list of 5 vectors, each with a dimension of 1024), embedding_mask (embedding mask), midi_path (path to MIDI files), and source_file (path to source files). The dataset only includes a training split with 840,816 examples, a total size of approximately 24.2 GB, and a download size of approximately 24.1 GB. It may involve music or audio processing, but specific purposes and content are not explicitly described in the README.