遇见数据集

jsanzolac/msmarco_triplet50_glove_pretok

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Hugging Face2026-05-26 更新2026-05-31 收录
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资源简介:

MS MARCO triplet-50预分词数据集,专为jsanzolac/drifting-glove-distilled-r300模型优化。该数据集基于sentence-transformers/msmarco-msmarco-distilbert-base-v3的triplet-50子集,通过tiktoken.cl100k_base编码并映射到GloVe词向量行索引。每个数据行包含一个查询、一个正例段落和最多50个挖掘的困难负例,均以整数索引列表形式存储,其中查询和正例长度不超过256个词元,负例长度可变。数据经过过滤处理,删除空查询或短正例(少于8个词元),并移除短负例(但保留数据行)。数据集共包含278737行数据,全部保留,无损失。

Pre-tokenized MS MARCO triplet-50 dataset for jsanzolac/drifting-glove-distilled-r300. It is derived from the triplet-50 subset of sentence-transformers/msmarco-msmarco-distilbert-base-v3, encoded with tiktoken.cl100k_base and mapped to GloVe row indices via glove_vocab.txt. Each row consists of a query, a positive passage, and up to 50 mined hard negatives, all stored as lists of integer indices, with queries and positives limited to ≤256 tokens and negatives of variable length. Data is filtered: rows are dropped if the query is empty (after OOV removal) or the positive has <8 tokens, and negatives with <8 tokens are removed from the rows list (but the row is kept). The dataset contains 278737 rows, all retained (100% kept).

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