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ByteSized32: A Corpus and Challenge Task for Generating Task-Specific World Models Expressed as Text Games

24 May 2023arXiv:2305.14879archive 2025-07-28

Ruoyao Wang, Graham Todd, Eric Yuan, Ziang Xiao, Marc-Alexandre Côté, Peter Jansen

In this work, we investigate the capacity of language models to generate explicit, interpretable, and interactive world models of scientific and common-sense reasoning tasks. We operationalize this as a task of generating text games, expressed as hundreds of lines of Python code. To facilitate this task, we introduce ByteSized32 (Code: github.com/cognitiveailab/BYTESIZED32), a corpus of 32 reasoning-focused text games totaling 20k lines of Python code. We empirically demonstrate that GPT-4 can use these games as templates for single-shot in-context learning, successfully producing runnable games on unseen topics in 28% of cases. When allowed to self-reflect on program errors, game runnability substantially increases to 57%. While evaluating simulation fidelity is labor-intensive, we introduce a suite of automated metrics to assess game fidelity, technical validity, adherence to task specifications, and winnability, showing a high degree of agreement with expert human ratings. We pose this as a challenge task to spur further development at the juncture of world modeling and code generation.

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cognitiveailab/bytesized32 officialmentioned in papermentioned on GitHubApache-2.0 report

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build_requirement_text cognitiveailab/BYTESIZED32/bytes32/compliance.py official repository unverified Apache-2.0 (permissive) · 01a359166103f27a · report
check_validity cognitiveailab/BYTESIZED32/bytes32/validity.py official repository unverified Apache-2.0 (permissive) · fc7803997d03e484 · report
clean cognitiveailab/BYTESIZED32/bytes32/winnability/language_agent.py official repository unverified Apache-2.0 (permissive) · 4fe1ce1ee1520f46 · report
count_tokens cognitiveailab/BYTESIZED32/bytes32/utils.py official repository unverified Apache-2.0 (permissive) · 9e4c4702c63966aa · report
extract_initial_action_token cognitiveailab/BYTESIZED32/bytes32/alignment.py official repository unverified Apache-2.0 (permissive) · f21824b218425eec · report
get_tokenizer cognitiveailab/BYTESIZED32/bytes32/utils.py official repository unverified Apache-2.0 (permissive) · 23ee3a98708a8381 · report
parse_game_file_name cognitiveailab/BYTESIZED32/bytes32/compliance.py official repository unverified Apache-2.0 (permissive) · cb994dc33f763671 · report
sample_actions cognitiveailab/BYTESIZED32/bytes32/validity.py official repository unverified Apache-2.0 (permissive) · 49a58281274253aa · report

Tasks

Code GenerationCommon Sense ReasoningIn-Context Learningtext-based games

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Methods

Absolute Position EncodingsAdamAttentionBPEDense ConnectionsDropoutGPT-4Label SmoothingLayer NormalizationLinear LayerMulti-Head AttentionPosition-Wise Feed-Forward LayerResidual ConnectionSoftmaxTransformer

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