Papers › OpenPI-C: A Better Benchmark and Stronger Baseline for Open-Vocabulary State Tracking

OpenPI-C: A Better Benchmark and Stronger Baseline for Open-Vocabulary State Tracking

1 Jun 2023arXiv:2306.00887archive 2025-07-28

Xueqing Wu, Sha Li, Heng Ji

Open-vocabulary state tracking is a more practical version of state tracking that aims to track state changes of entities throughout a process without restricting the state space and entity space. OpenPI is to date the only dataset annotated for open-vocabulary state tracking. However, we identify issues with the dataset quality and evaluation metric. For the dataset, we categorize 3 types of problems on the procedure level, step level and state change level respectively, and build a clean dataset OpenPI-C using multiple rounds of human judgment. For the evaluation metric, we propose a cluster-based metric to fix the original metric's preference for repetition. Model-wise, we enhance the seq2seq generation baseline by reinstating two key properties for state tracking: temporal dependency and entity awareness. The state of the world after an action is inherently dependent on the previous state. We model this dependency through a dynamic memory bank and allow the model to attend to the memory slots during decoding. On the other hand, the state of the world is naturally a union of the states of involved entities. Since the entities are unknown in the open-vocabulary setting, we propose a two-stage model that refines the state change prediction conditioned on entities predicted from the first stage. Empirical results show the effectiveness of our proposed model especially on the cluster-based metric. The code and data are released at https://github.com/shirley-wu/openpi-c

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accept_answer shirley-wu/openpi-c/training/gen_ans_to_list.py official repository unverified MIT (permissive) · a0a7ca95e1b8daa4 · report
filter_answers shirley-wu/openpi-c/training/gen_ans_to_list.py official repository unverified MIT (permissive) · 047787b32d22c822 · report
format_gold_answer shirley-wu/openpi-c/eval/simple_eval.py official repository unverified MIT (permissive) · 9010401fb2b0e55d · report
map_bool shirley-wu/openpi-c/training/generation.py official repository unverified MIT (permissive) · 02ade5c4658efc0a · report
normalize_nostem shirley-wu/openpi-c/eval/eval_util.py official repository unverified MIT (permissive) · 4e222dee0b930f64 · report
read_jsonl shirley-wu/openpi-c/training/gen_ans_to_list.py official repository unverified MIT (permissive) · abd1ef77eb0194bb · report
strict_connected_components shirley-wu/openpi-c/eval/cluster_answers.py official repository unverified MIT (permissive) · c68cf3264037fe2d · report

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