Datasets:
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## Dataset Description
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**CoreCognition** is a large-scale benchmark encompassing
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While MLLMs demonstrate impressive abilities over high-level perception and reasoning, their robustness in the wild remains limited, often falling short on tasks that are intuitive and effortless for humans. We examine the hypothesis that these deficiencies stem from the absence of **core knowledge**—rudimentary core abilities innate to humans.
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(Additional **80 Concept Hacking** questions in our paper will be released separately)
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🔗 **Website**: [https://williamium3000.github.io/core-knowledge/](https://williamium3000.github.io/core-knowledge/)
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🔗 **Paper**: [https://arxiv.org/abs/2410.10855](https://arxiv.org/abs/2410.10855)
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🔗 **Github**: [https://github.com/williamium3000/core-knowledge](https://github.com/williamium3000/core-knowledge)
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## Formats
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1. **HuggingFace Preview** - For browsing and exploration (visible in HuggingFace viewer, contains embedded 448*448-pixel image preview but no videos)
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2. **Complete Dataset ZIP (Recommended)** - Full data with all images and videos before resizing, 6.41GB
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```
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## Dataset Description
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**CoreCognition** is a large-scale benchmark encompassing 12 core knowledge grounded in developmental cognitive science, designed to evaluate the fundamental core abilities of Multi-modal Large Language Models (MLLMs).
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While MLLMs demonstrate impressive abilities over high-level perception and reasoning, their robustness in the wild remains limited, often falling short on tasks that are intuitive and effortless for humans. We examine the hypothesis that these deficiencies stem from the absence of **core knowledge**—rudimentary core abilities innate to humans.
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(Additional **80 Concept Hacking** questions in our paper will be released separately)
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- 🔗 **Website**: [https://williamium3000.github.io/core-knowledge/](https://williamium3000.github.io/core-knowledge/)
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- 🔗 **Paper**: [https://arxiv.org/abs/2410.10855](https://arxiv.org/abs/2410.10855)
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- 🔗 **Github**: [https://github.com/williamium3000/core-knowledge](https://github.com/williamium3000/core-knowledge)
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## Formats
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1. **HuggingFace Preview** - For browsing and exploration (visible in HuggingFace viewer, contains embedded 448*448-pixel image preview but no videos)
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⚠️ Warning: this format is primarily for HuggingFace viewer; it DOES NOT contain full data.
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2. **Complete Dataset ZIP (Recommended)** - Full data with all images and videos before resizing, 6.41GB
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```
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