lostelf/unarxive_dense

--- pretty_name: EviGraph-R Dense Index task_categories: - feature-extraction - text-retrieval tags: - evigraph-r - scientific-literature - qdrant - dense-embeddings --- # EviGraph-R Dense Index This dataset contains the dense retrieval index generated by the EviGraph-R indexing pipeline. It is exported from the finalized shard records after the collection has been written to Qdrant, so the Hub copy matches the indexed corpus that was prepared for retrieval. ## What is inside - One row per indexed chunk. - Original chunk payload metadata used by retrieval and analysis. - Vector columns: `dense_vector`. - Source collection: `unarxive_chunks`. - Embedding model key: `bge-m3`. - Runtime profile: `hpc`. ## Build summary - Repository: `lostelf/unarxive_dense` - Split: `train` - Shards exported: `15` - Rows exported: `127353` - Generated at: `2026-04-12T19:26:45.835499+00:00` ## Suggested use Use this dataset as a portable snapshot of the EviGraph-R retrieval index for reproducible experiments, offline analysis, or mirroring the vector store outside Qdrant.### 数据集元数据 数据集名称：EviGraph-R 稠密索引（EviGraph-R Dense Index） 任务类别： - 特征提取 (feature-extraction) - 文本检索 (text-retrieval) 标签： - evigraph-r - 科学文献 (scientific-literature) - Qdrant - 稠密嵌入 (dense-embeddings) --- # EviGraph-R 稠密索引 本数据集包含由EviGraph-R索引流水线生成的稠密检索索引。该数据集从集合写入Qdrant后的最终分片记录中导出，因此Hugging Face Hub副本与为检索任务准备的索引语料库完全匹配。 ## 数据集内容说明 - 每条数据对应一个索引化文本块 - 包含用于检索与分析的原始文本块负载元数据 - 向量列：`dense_vector`（稠密向量） - 源数据集集合：`unarxive_chunks` - 嵌入模型标识：`bge-m3` - 运行时配置：`hpc` ## 构建概览 - 代码仓库：`lostelf/unarxive_dense` - 数据划分：训练集（`train`） - 导出分片数量：15 - 导出数据行数：127353 - 生成时间：`2026-04-12T19:26:45.835499+00:00` ## 建议使用场景 本数据集可作为EviGraph-R检索索引的可移植快照，用于可复现实验、离线分析，或在Qdrant外部搭建向量存储镜像。