Datasets:
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Download README.md from Shadowell/hyperarc-arc2-200-testset: direct link, hf CLI and curl.
- Browser
- Download file 872 Bytes
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https://huggingface.co/datasets/Shadowell/hyperarc-arc2-200-testset/resolve/main/README.md
- Command line
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hf download hf://datasets/Shadowell/hyperarc-arc2-200-testset/README.md
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curl -L -o README.md https://huggingface.co/datasets/Shadowell/hyperarc-arc2-200-testset/resolve/main/README.md
872 Bytes
| annotations_creators: | |
| - machine-generated | |
| language_creators: | |
| - machine-generated | |
| language: | |
| - en | |
| license: other | |
| task_categories: | |
| - visual-question-answering | |
| tags: | |
| - arc-agi | |
| - arc2 | |
| - reasoning | |
| - symbolic-ai | |
| - benchmark | |
| size_categories: | |
| - n<1K | |
| # HyperARC ARC-AGI-2 Local Categorized Evaluation Benchmark | |
| This repository contains the offline categorized local evaluation benchmark curated for HyperARC ARC-AGI-2: | |
| ## Contents | |
| 1. `arc-agi_evaluation_challenges.json`: Categorized evaluation challenges (200 tasks). | |
| 2. `arc-agi_evaluation_solutions.json`: Reference ground-truth solutions for evaluation. | |
| 3. `arc-agi_training_challenges.json`: Standard ARC training challenges. | |
| 4. `arc-agi_training_solutions.json`: ARC training solutions. | |
| 5. `arc-agi_test_challenges.json`: Test set challenge inputs. | |
| 6. `sample_submission.json`: Baseline template submission format. | |