遇见数据集

anon2435/CoPeP-sample

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Hugging Face2026-05-07 更新2026-05-31 收录
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CoPeP Reviewer Sample 是一个紧凑的确定性样本,用于审查员检查文件格式、模式及示例记录,而无需下载完整的 CoPeP 数据集。它包含训练样本和验证集,训练样本保留了主数据集的训练行模式,如名称、序列、序列哈希、任务列(task_0 至 task_9)和行索引。采样方法基于首次观察到的时序任务进行分组,并使用确定性评分(基于序列哈希、行索引和固定种子)选择每组的行(最多10,000行)。此样本不能完全替代完整数据集,因为它不包含任务分割文件。

CoPeP Reviewer Sample is a compact deterministic sample for reviewer inspection to check file format, schema, and example records without downloading the full CoPeP dataset. It includes a training sample and a validation set, with the training sample preserving the main datasets train-row schema, such as name, sequence, seq_hash, task columns (task_0 through task_9), and row_idx. Sampling is based on grouping rows by the first observed temporal task, using a deterministic score derived from seq_hash, row_idx, and a fixed seed to select up to 10,000 rows per group. This sample is not a drop-in replacement for the full dataset, as it does not include task split files.

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