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.gitattributes CHANGED
@@ -60,3 +60,5 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
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  *.webm filter=lfs diff=lfs merge=lfs -text
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  task_a_9b/train.jsonl filter=lfs diff=lfs merge=lfs -text
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  task_b_9b/train.jsonl filter=lfs diff=lfs merge=lfs -text
 
 
 
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  task_b_9b/train.jsonl filter=lfs diff=lfs merge=lfs -text
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+ task_a_9b/train.json filter=lfs diff=lfs merge=lfs -text
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+ task_b_9b/train.json filter=lfs diff=lfs merge=lfs -text
README.md CHANGED
@@ -9,31 +9,33 @@ configs:
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  - config_name: task_a_7b
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  data_files:
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  - split: train
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- path: task_a_7b/train.jsonl
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  - split: test
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- path: task_a_7b/test.jsonl
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  - config_name: task_a_9b
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  data_files:
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  - split: train
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- path: task_a_9b/train.jsonl
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  - split: test
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- path: task_a_9b/test.jsonl
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  - config_name: task_b_7b
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  data_files:
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  - split: train
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- path: task_b_7b/train.jsonl
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  - split: test
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- path: task_b_7b/test.jsonl
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  - config_name: task_b_9b
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  data_files:
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  - split: train
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- path: task_b_9b/train.jsonl
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  - split: test
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- path: task_b_9b/test.jsonl
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  ---
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  # BeliefTrack
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  BeliefTrack is a closed-world benchmark for **Contextual Belief Management (CBM)** in multi-turn language model interactions. Each example asks a model to maintain the set of hypotheses that remain consistent with formal evidence.
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  ## Configurations
@@ -58,7 +60,7 @@ The `7B` and `9B` names identify the experimental data-generation/evaluation set
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  ```python
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  from datasets import load_dataset
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- ds = load_dataset("YOUR_ORG/BeliefTrack", "task_a_7b")
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  print(ds["train"][0])
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  ```
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@@ -70,8 +72,8 @@ from datasets import load_dataset
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  ds = load_dataset(
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  "json",
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  data_files={
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- "train": "task_a_7b/train.jsonl",
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- "test": "task_a_7b/test.jsonl",
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  },
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  )
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  ```
@@ -171,3 +173,14 @@ Each row contains:
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  }
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  }
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  ```
 
 
 
 
 
 
 
 
 
 
 
 
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  - config_name: task_a_7b
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  data_files:
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  - split: train
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+ path: task_a_7b/train.json
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  - split: test
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+ path: task_a_7b/test.json
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  - config_name: task_a_9b
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  data_files:
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  - split: train
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+ path: task_a_9b/train.json
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  - split: test
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+ path: task_a_9b/test.json
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  - config_name: task_b_7b
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  data_files:
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  - split: train
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+ path: task_b_7b/train.json
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  - split: test
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+ path: task_b_7b/test.json
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  - config_name: task_b_9b
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  data_files:
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  - split: train
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+ path: task_b_9b/train.json
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  - split: test
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+ path: task_b_9b/test.json
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  ---
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  # BeliefTrack
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+ [📄 arXiv](https://arxiv.org/abs/2605.30219) • [🤗 HFPaper](https://huggingface.co/papers/2605.30219) • [🤗 HF Collection](https://huggingface.co/collections/zjunlp/contextualbeliefmanagement)
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+
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  BeliefTrack is a closed-world benchmark for **Contextual Belief Management (CBM)** in multi-turn language model interactions. Each example asks a model to maintain the set of hypotheses that remain consistent with formal evidence.
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  ## Configurations
 
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  ```python
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  from datasets import load_dataset
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+ ds = load_dataset("YOUR_ORG/BeliefTrack", "task_a_9b")
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  print(ds["train"][0])
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  ```
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  ds = load_dataset(
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  "json",
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  data_files={
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+ "train": "task_a_9b/train.json",
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+ "test": "task_a_9b/test.json",
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  },
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  )
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  ```
 
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  }
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  }
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  ```
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+
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+ ## Citation
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+
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+ ```bibtex
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+ @article{xu2026whenshouldmodelschange,
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+ title={When Should Models Change Their Minds? Contextual Belief Management in Large Language Models},
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+ author={Xu, Haoming and Xu, Weihong and Li, Zongrui and Wang, Mengru and Yao, Yunzhi and Wu, Chiyu and Shang, Jin and Gong, Yu and Deng, Shumin},
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+ journal={arXiv preprint arXiv:2605.30219},
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+ year={2026}
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+ }
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+ ```
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