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Datasets:
OxRML
/
MADQA

Tasks:
Visual Document Retrieval
Visual Question Answering
Modalities:
Text
Document
Formats:
parquet
Languages:
English
Size:
1K - 10K
ArXiv:
Tags:
benchmark
agent
document
multimodal
RAG
Libraries:
Datasets
pandas
Polars
License:
Dataset card Data Studio Files
xet
Community

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License and Disclaimer

The material in this repo is intended for non-commercial research purposes and is provided under the Creative Commons Attribution-NonCommercial (CC BY-NC) license.

Data Availability and DocumentCloud Access Notice

The benchmark described in this research consists of a curated index of documents hosted on DocumentCloud.org which were uploaded to DocumentCloud by third-party organizations (e.g., news outlets, government agencies, non-profits, etc.). Please refer to DocumentCloud's Terms of Service for information regarding the rights of the underlying documents.

  1. Independent Data Source: Reasoning with Machines Lab at University of Oxford and its co-authors do not own, host, or control DocumentCloud.org or the third party documents referenced in the benchmark. The links provided point directly to the original public-facing documents on the DocumentCloud platform.
  2. Terms of Service & API Compliance: Users accessing these documents via the DocumentCloud API or web interface are responsible for complying with the DocumentCloud Terms of Service and any specific usage restrictions or rate limits (e.g., those governing automated downloads) set by the platform and the original document uploader.
  3. For Non-Commercial Research Only: This index is provided solely for non-commercial, scientific benchmarking and research. Any commercial use of the documents found on DocumentCloud, including but not limited to the training of commercial Large Language Models (LLMs) or other proprietary products, may require separate licensing or permission from the original copyright holders.
  4. Liability Disclaimer: Reasoning with Machines Lab at University of Oxford and its co-authors provide this index "as-is" and without any warranty regarding the copyright status, data integrity, or accuracy of the linked documents. Users are solely liable for any copyright infringement or other legal claims arising from their downloading or use of the materials.

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