Papers With Data: Voxel51 Index of Research Papers and Source Data

Machine learning and computer vision research papers are indexed in this curated repository alongside their released datasets, with updates as recent as October 2024. Created by Voxel51, the collection functions as a metadata bridge between academic publications and their corresponding source data.

Use Cases

• Locating source data for paper replication using the paper title
• Identifying benchmark datasets for computer vision tasks via curated links
• Analyzing dataset release trends using paper entries

Strengths

• Curated by Voxel51 machine learning experts
• Apache-2.0 licensed for open redistribution
• Includes recent 2024 publication entries

Limitations

• Lacks a standardized tabular schema for automated parsing
• Unknown total record count
• Manual curation may lead to selection bias toward specific AI subfields

Provenance

Source

Voxel51 GitHub Repository

Collection Method

Manual curation

Freshness

Last updated October 2024

Geography

Global