Duplicate from Junrulu/RoleMRC

Co-authored-by: Junrulu <[email protected]>

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README.md

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+---
+datasets:
+- ZenMoore/RoleBench
+- RLHFlow/RLHFlow-SFT-Dataset-ver2
+- HuggingFaceH4/ultrafeedback_binarized
+language:
+- en
+license: mit
+task_categories:
+- text-generation
+tags:
+- roleplay
+---
+
+# RoleMRC (A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following)
+Role-playing is important for Large Language Models (LLMs) to follow diverse instructions while maintaining role identity and the role's pre-defined ability limits. Existing role-playing datasets mostly contribute to controlling role style and knowledge boundaries, but overlook role-playing in instruction-following scenarios. We introduce a fine-grained role-playing and instruction-following composite benchmark, named RoleMRC, including: (1) Multi-turn dialogues between ideal roles and humans, including free chats or discussions upon given passages; (2) Role-playing machine reading comprehension, involving response, refusal, and attempts according to passage answerability and role ability; (3) More complex scenarios with nested, multi-turn and prioritized instructions. The final RoleMRC features a 10.2k role profile meta-pool, 37.9k well-synthesized role-playing instructions, and 1.4k testing samples. We develop a pipeline to quantitatively evaluate the fine-grained role-playing and instruction-following capabilities of several mainstream LLMs, as well as models that are fine-tuned on our data. Moreover, cross-evaluation on external role-playing datasets confirms that models fine-tuned on RoleMRC enhances instruction-following without compromising general role-playing and reasoning capabilities. We also probe the neural-level activation maps of different capabilities over post-tuned LLMs.
+
+# Resources
+Check our [paper](https://arxiv.org/abs/2502.11387), [codes](https://github.com/LuJunru/RoleMRC) and [local post-tuned models](https://huggingface.co/collections/Junrulu/rolemrc-67b2a4477a49eaea082ad33b).
+
+# Straightforward Role Profile of RoleMRC
+<img src="./rolemrc_example.png" width="988px"></img>
+
+# Content Table of RoleMRC (task name in data vs. actual meaning)
+### Free Chats
+#### 1.1 Free Chats (5k)
+- 'role_related_dialogue---role_first---no_narration---answer': role starts, no narration
+- 'role_related_dialogue---role_first---with_narration---answer': role starts, could have narration
+- 'role_related_dialogue---user_first---no_narration---answer': user starts, no narration
+- 'role_related_dialogue---user_first---with_narration---answer': user starts, could have narration
+### On-scene Dialogues
+#### 2.1 On-scene Chats (5k)
+- 'role_related_mrc_dialogue---user_first---no_narration---answer': user starts, no narration
+- 'role_related_mrc_dialogue---user_first---with_narration---answer': user starts, could have narration
+- 'role_related_mrc_dialogue---role_first---no_narration---answer': role starts, no narration
+- 'role_related_mrc_dialogue---role_first---with_narration---answer': role starts, could have narration
+#### 2.2 With most relevant MRC (4k)
+- 'role_related_mrc_answer_with_narration': within knowledge boundary, answerable question, could have narration -- role answers with style (2.2.1)
+- 'role_related_mrc_answer_no_narration': within knowledge boundary, answerable question, no narration -- role answers with style (2.2.2)
+- 'role_related_mrc_refused_with_narration': within knowledge boundary, unanswerable question, could have narration -- role says no answer with style (2.2.3)
+- 'role_related_mrc_refused_no_narration': within knowledge boundary, unanswerable question, no narration -- role says no answer with style (2.2.4)
+#### 2.3 With least relevant MRC (4k)
+- 'role_unrelated_mrc_refused_with_narration': beyond knowledge boundary, answerable question, could have narration -- role refuses with style (2.3.1)
+- 'role_unrelated_mrc_refused_no_narration': beyond knowledge boundary, answerable question, no narration -- role refuses with style (2.3.2)
+- 'role_unrelated_mrc_answer_with_narration': beyond knowledge boundary, answerable question, could have narration -- role attempts with style (2.3.3)
+- 'role_unrelated_mrc_answer_no_narration': beyond knowledge boundary, answerable question, no narration -- role attempts with style (2.3.4)
+### Ruled Chats
+#### 3.1 Multi-turn (2k)
+- 'role_related_mrc_refused_with_narration-2ndrefused': based on 2.2.3, user forces to answer in next turn -- role says no answer with style again
+- 'role_related_mrc_refused_no_narration-2ndrefused': based on 2.2.4, user forces to answer in next turn -- role says no answer with style again
+- 'role_unrelated_mrc_refused_with_narration-2ndanswer': based on 2.3.1, user forces to answer in next turn -- role changes from resual to attempt with style
+- 'role_unrelated_mrc_refused_no_narration-2ndanswer': based on 2.3.2, user forces to answer in next turn -- role changes from resual to attempt with style
+#### 3.2 Nested (1.6k)
+- 'role_related_mrc_answer_with_narration-special-content': based on 2.2.1, adding system rules for special content (e.g., emoji / total number of words)
+- 'role_related_mrc_answer_no_narration-special-content': based on 2.2.2, adding system rules for special content (e.g., emoji / total number of words)
+- 'role_related_mrc_answer_with_narration-special-format': based on 2.2.1, adding system rules for special format (e.g., capitalization / punctuation)
+- 'role_related_mrc_answer_no_narration-special-format': based on 2.2.2, adding system rules for special format (e.g., capitalization / punctuation)
+#### 3.3 Prioritized (2.4k)
+- 'role_related_mrc_answer_with_narration-refused': based on 2.2.1, adding system ban for global refusal -- role changes from answer to refusal with style
+- 'role_related_mrc_answer_no_narration-refused': based on 2.2.2, adding system ban for global refusal -- role changes from answer to refusal with style
+
+# Other information of RoleMRC
+## Data size
+- SFT train: 24k, all above
+- RL train: 14k, On-scene Dialogues and Ruled Chats
+- RL dev: 1.4k, additional 10% samples for each type in On-scene Dialogues and Ruled Chats
+- Test: same as RL dev
+- **Meta Data: 10k standardized role profiles, including matched most and least relevant MRC**
+- Mix: mix RoleMRC with addtional [RoleBench](https://huggingface.co/datasets/ZenMoore/RoleBench), [RLHFlow](https://huggingface.co/datasets/RLHFlow/RLHFlow-SFT-Dataset-ver2) and [UltraFeedback](https://huggingface.co/datasets/HuggingFaceH4/ultrafeedback_binarized) data
+## Data format
+- SFT: {"id", "profile_id", "task", "conversations"}
+- RL: {"id", "profile_id", "task", "prompt", "chosen", "rejected"}, where prompt + chosen = conversations in SFT
+- Test: {"id", "profile_id", "task", "question", "reference"}, where question + reference = conversations in SFT
+- Meta Data: {"profile_id", "persona", "profile", "best_match_passages", "worst_match_passages", "best_match_score", "worst_match_score"}
+## Evaluation dimension in LLM-as-a-judge approach
+- Knowledge Boundary: using test sets of 2.2.1/2.2.2, 2.3.1/2.3.2
+- Role Style: using test sets of 2.2.1, 2.2.3, 2.3.1, 2.3.3
+- Multi-turn Instruction-following: using test set of 3.1
+- Nested Instruction-following: using test set of 3.2
+- Prioritized Instruction-following: using test set of 3.3
+
+# Citation
+```
+@article{LUandLI2025RoleMRC,
+  title={RoleMRC: A Fine-Grained Composite Benchmark for Role-Playing and Instruction-Following},
+  author={Lu, Junru and Li, Jiazheng and Shen, Guodong and Gui, Lin and An, Siyu and He, Yulan and Yin, Di and Sun, Xing},
+  journal={arXiv preprint arXiv:2502.11387},
+  year={2025}
+}
+```

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