Add task category (#1)

- Add task category (1f3cad2f9724dd267801d036d7adceb932fb71d9)


Co-authored-by: Niels Rogge <nielsr@users.noreply.huggingface.co>

README.md

@@ -1,30 +1,32 @@
----
-language:
-- en
-license: cc-by-4.0
----
-
-## Dataset Information
-
-Most conversational agents (CAs) are designed to satisfy user needs through user-driven interactions. However, many real-world settings, such as academic interviewing, judicial proceedings, and journalistic investigations, involve broader institutional decision-making processes and require agents that can elicit information from users. To enable systematic research on this setting, we present *YIELD*, a 26M-token dataset of 2,281 ethically sourced, human-to-human dialogues. For full details, see the accompanying paper [here](https://doi.org/10.48550/arXiv.2604.10968).
-
-
-## Code Repository
-
-GitHub: https://github.com/infosenselab/yield
-
-
-## Citing YIELD
-
-If you use this resource in your projects, please cite the following paper.
-
-
-```bibtex
-@misc{De_Lima_YIELD_A_Large-Scale_2026,
-author = {De Lima, Victor and Yang, Grace Hui},
-doi = {10.48550/arXiv.2604.10968},
-title = {{YIELD: A Large-Scale Dataset and Evaluation Framework for Information Elicitation Agents}},
-url = {https://arxiv.org/abs/2604.10968},
-year = {2026}
-}
+---
+language:
+- en
+license: cc-by-4.0
+task_categories:
+- text-generation
+---
+
+## Dataset Information
+
+Most conversational agents (CAs) are designed to satisfy user needs through user-driven interactions. However, many real-world settings, such as academic interviewing, judicial proceedings, and journalistic investigations, involve broader institutional decision-making processes and require agents that can elicit information from users. To enable systematic research on this setting, we present *YIELD*, a 26M-token dataset of 2,281 ethically sourced, human-to-human dialogues. For full details, see the accompanying paper [here](https://doi.org/10.48550/arXiv.2604.10968).
+
+
+## Code Repository
+
+GitHub: https://github.com/infosenselab/yield
+
+
+## Citing YIELD
+
+If you use this resource in your projects, please cite the following paper.
+
+
+```bibtex
+@misc{De_Lima_YIELD_A_Large-Scale_2026,
+author = {De Lima, Victor and Yang, Grace Hui},
+doi = {10.48550/arXiv.2604.10968},
+title = {{YIELD: A Large-Scale Dataset and Evaluation Framework for Information Elicitation Agents}},
+url = {https://arxiv.org/abs/2604.10968},
+year = {2026}
+}
 ```