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Use GitHub-hosted demo video, replace large mp4 with 720p
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README.md

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@@ -23,11 +23,9 @@ Code and data for [ICML 2026] **CoDA-Bench: Can Code Agents Handle Data-Intensiv
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CoDA-Bench (Code and Data-intensive Benchmark) is a benchmark for evaluating AI agents on data-intensive analytical tasks.
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Given a *natural language question* and access to a *Linux sandbox* containing hundreds of data files, an agent must discover relevant data, write code, and produce the correct answer.
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<p align="center">
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<video src="https://github.com/ruc-datalab/CoDA-Bench/raw/main/assets/demo_video.mp4" controls width="80%"></video>
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</p>
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https://github.com/user-attachments/assets/5a34d86f-d1d6-49f9-bddb-7e023d7e9347
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> ▶️ Demo video. If it does not play inline, [watch it here](https://github.com/ruc-datalab/CoDA-Bench/raw/main/assets/demo_video.mp4).
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> ▶️ Demo video. If it does not play inline, [download/watch it here](./assets/demo_video_720p.mp4).
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Unlike existing benchmarks that provide oracle data directly, CoDA-Bench requires agents to:
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- 🔍 Discover relevant data among hundreds of semantically similar files

assets/demo_video.mp4

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