mlsanityData to 14 Oct 2026

OpenDataLab: Empowering General Artificial Intelligence with Open Datasets

arXiv 2407.13773 ↗First posted 4 Jun 2024cs.DL cs.AIcited by 29

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Abstract (arXiv)

The advancement of artificial intelligence (AI) hinges on the quality and accessibility of data, yet the current fragmentation and variability of data sources hinder efficient data utilization. The dispersion of data sources and diversity of data formats often lead to inefficiencies in data retrieval and processing, significantly impeding the progress of AI research and applications. To address these challenges, this paper introduces OpenDataLab, a platform designed to bridge the gap between diverse data sources and the need for unified data processing. OpenDataLab integrates a wide range of open-source AI datasets and enhances data acquisition efficiency through intelligent querying and high-speed downloading services. The platform employs a next-generation AI Data Set Description Language (DSDL), which standardizes the representation of multimodal and multi-format data, improving interoperability and reusability. Additionally, OpenDataLab optimizes data processing through tools that complement DSDL. By integrating data with unified data descriptions and smart data toolchains, OpenDataLab can improve data preparation efficiency by 30%. We anticipate that OpenDataLab will significantly boost artificial general intelligence (AGI) research and facilitate advancements in related AI fields. For more detailed information, please visit the platform's official website: https://opendatalab.com.

Key facts. Cited by 29 papers in the map (data through 14 Oct 2026). Builds on 6 of its 14 references that are in the map. First posted on arXiv 4 Jun 2024.

Builds on

6 of 14 references.

References · 6

  1. 2014Microsoft COCO: Common Objects in Contextcited by 17,608
  2. 2022LAION-5B: An open large-scale dataset for training next generation image-text modelscited by 4,152
  3. 2021Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Conceptscited by 1,216
  4. 2023InternVid: A Large-scale Video-Text Dataset for Multimodal Understanding and Generationcited by 497
  5. 2023WanJuan: A Comprehensive Multimodal Dataset for Advancing English and Chinese Large Modelscited by 50
  6. 2024DSDL: Data Set Description Language for Bridging Modalities and Tasks in AI Datacited by 1

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Cited by year (2026 to 14 Oct)

Citing papers per year: 2024: 4; 2025: 14; 2026: 11.

29 papers.

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  1. 2024OpenING: A Comprehensive Benchmark for Judging Open-ended Interleaved Image-Text Generationcited by 31
  2. 2024ANAH-v2: Scaling Analytical Hallucination Annotation of Large Language Modelscited by 14
  3. 2025Consensus Entropy: Harnessing Multi-VLM Agreement for Self-Verifying and Self-Improving OCRcited by 12
  4. 2025Beyond "Not Novel Enough": Enriching Scholarly Critique with LLM-Assisted Feedbackcited by 12
  5. 2025Eigen-1: Adaptive Multi-Agent Refinement with Monitor-Based RAG for Scientific Reasoningcited by 11
  6. 2026DECKBench: Benchmarking Multi-Agent Frameworks for Academic Slide Generation and Editingcited by 11
  7. 2025MSEarth: A Multimodal Benchmark for Earth Science Phenomenon Discovery with MLLMscited by 10
  8. 2025EarthSE: A Benchmark for Evaluating Earth Scientific Exploration Capability of LLMscited by 7
  9. 2024The Northeast Materials Database for Magnetic Materialscited by 6
  10. 2025ProMind-LLM: Proactive Mental Health Care via Causal Reasoning with Sensor Datacited by 6
  11. 2025Easy Dataset: A Unified and Extensible Framework for Synthesizing LLM Fine-Tuning Data from Unstructured Documentscited by 6
  12. 2026LegalOne: A Family of Foundation Models for Reliable Legal Reasoningcited by 5
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  2. 2024Investigating Public Fine-Tuning Datasets: A Complex Review of Current Practices from a Construction Perspectivecited by 3
  3. 2025DeepForm: Reasoning Large Language Model for Communication System Formulationcited by 3
  4. 2025VeritasFi: An Adaptable, Multi-tiered RAG Framework for Multi-modal Financial Question Answeringcited by 3
  5. 2025Multi-task Learning for Identification of Porcelain in Song and Yuan Dynastiescited by 2
  6. 2025ResearchGPT: Benchmarking and Training LLMs for End-to-End Computer Science Research Workflowscited by 2
  7. 2025PCMind-2.1-Kaiyuan-2B Technical Reportcited by 2
  8. 2026PodBench: A Comprehensive Benchmark for Instruction-Aware Audio-Oriented Podcast Script Generationcited by 1
  9. 2026Puro-2B: Poor Lab's Qwen2-1.5B Trained on RTX 5090 within 5090cited by 1
  10. 2025Automatic Task Detection and Heterogeneous LLM Speculative Decodingcited by 0
  11. 2025OCR-Quality: A Human-Annotated Dataset for OCR Quality Assessmentcited by 0
  12. 2026ReCrit: Transition-Aware Reinforcement Learning for Scientific Critic Reasoningcited by 0
  13. 2026RiskNet: A large-scale dataset of AI risk incidents from news with alignment and multi-dimensional annotationscited by 0
  14. 2026A New Multi-Domain Benchmark for Micro-Action Recognition and Detectioncited by 0
  15. 2026Artificial Intelligence and Innovation Ecosystem: Evolutionary Developments, Challenges, and Future Directionscited by 0
  16. 2026Towards Physics-Faithful Generation of Scientific Diagramscited by 0
  17. 2026InternReviewer & InternAdvocate: Objective Reward and Evaluation for Agentic Reinforcement Learning in Peer Review and Rebuttalcited by 0