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Add metadata, paper link and repository information

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Hi, I'm Niels from the community science team at Hugging Face. This PR improves the dataset card by:
- Adding YAML metadata for `task_categories` and `license`.
- Linking the dataset to the original paper, official code repository, and project blog.
- Providing structured information about the artifacts and their usage.
- Adding the BibTeX citation for the INFUSER paper.

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  1. README.md +35 -8
README.md CHANGED
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  # INFUSER Qwen3-8B-base Artifacts
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- This dataset contains raw INFUSER Qwen3-8B-base generator output artifacts for steps 0, 30, 60, and 90.
 
 
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- Source dataset repo: `Tiiao/SER`
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- Source run path: `qwen3_8b_base/FW-Alr_2e-6-Glr_4e-6-DrGRPO-TIS_token-dev_800-precond_cos-seed456`
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- Source model/run context: INFUSER Qwen3-8B-base generator outputs from training config `FW-Alr_2e-6-Glr_4e-6-DrGRPO-TIS_token-dev_800-precond_cos-seed456`.
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- Related model repo: `Siyuc/INFUSER-Qwen3-8B-base`
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- Code repo: `https://github.com/FFishy-git/INFUSER`
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- Files at dataset root:
 
 
 
 
 
 
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  - `gen_output_step000.pt`
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  - `gen_output_step030.pt`
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  - `gen_output_step060.pt`
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  - `gen_output_step090.pt`
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- These `.pt` files are raw `DataProto` torch artifacts. They can be converted to question JSON with the project code's `derive_gen_questions()` after loading the `DataProto` artifact. In this codebase, see `verl_inf_evolve/utils/data_utils.py`.
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ license: mit
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+ task_categories:
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+ - text-generation
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+ tags:
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+ - reasoning
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+ - self-evolution
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+ ---
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+
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  # INFUSER Qwen3-8B-base Artifacts
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+ This dataset contains raw INFUSER Qwen3-8B-base generator output artifacts for steps 0, 30, 60, and 90, as presented in the paper [INFUSER: Influence-Guided Self-Evolution Improves Reasoning](https://huggingface.co/papers/2606.09052).
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+
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+ [**Paper**](https://huggingface.co/papers/2606.09052) | [**Code**](https://github.com/FFishy-git/INFUSER) | [**Blog**](https://y-agent.github.io/infuser)
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+ ## Artifact Information
 
 
 
 
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+ - **Source dataset repo**: `Tiiao/SER`
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+ - **Source run path**: `qwen3_8b_base/FW-Alr_2e-6-Glr_4e-6-DrGRPO-TIS_token-dev_800-precond_cos-seed456`
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+ - **Source model/run context**: INFUSER Qwen3-8B-base generator outputs from training config `FW-Alr_2e-6-Glr_4e-6-DrGRPO-TIS_token-dev_800-precond_cos-seed456`.
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+ - **Related model repo**: `Siyuc/INFUSER-Qwen3-8B-base`
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+
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+ ### Files
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+ The repository contains the following `.pt` files at the root:
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  - `gen_output_step000.pt`
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  - `gen_output_step030.pt`
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  - `gen_output_step060.pt`
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  - `gen_output_step090.pt`
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+ ## Usage
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+ These `.pt` files are raw `DataProto` torch artifacts. They can be converted to question JSON using the project code's `derive_gen_questions()` function after loading the `DataProto` artifact. In the [official codebase](https://github.com/FFishy-git/INFUSER), see `verl_inf_evolve/utils/data_utils.py` for implementation details.
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+
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+ ## Citation
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+ ```bibtex
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+ @misc{chen2026infuser,
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+ title = {INFUSER: Influence-Guided Self-Evolution Improves Reasoning},
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+ author = {Siyu Chen and Miao Lu and Beining Wu and Heejune Sheen and Fengzhuo Zhang and Shuangning Li and Zhiyuan Li and Jose Blanchet and Tianhao Wang and Zhuoran Yang},
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+ year = {2026},
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+ eprint = {2606.09052},
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+ archivePrefix = {arXiv},
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+ primaryClass = {cs.LG},
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+ url = {https://arxiv.org/abs/2606.09052}
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+ }
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+ ```