Create README.md

README.md

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+---
+configs:
+- config_name: en_prompts
+  data_files:
+  - path:
+    - en_prompts.jsonl.zst
+    split: train
+- config_name: sample_k100
+  data_files:
+  - path:
+    - sample_k100.jsonl.zst
+    split: train
+- config_name: sample_k1000
+  data_files:
+  - path:
+    - sample_k1000.jsonl.zst
+    split: train
+- config_name: sample_k10000
+  data_files:
+  - path:
+    - sample_k10000.jsonl.zst
+    split: train
+- config_name: sample_k100000
+  data_files:
+  - path:
+    - sample_k100000.jsonl.zst
+    split: train
+license: odc-by
+task_categories:
+- text-generation
+- text-classification
+language:
+- en
+tags:
+- chatgpt
+- prompts
+- wildchat
+---
+# allenai/WildChat-4.8M English Prompts
+
+## Dataset Summary
+This dataset contains real user-submitted prompts to ChatGPT, extracted from the English portion of the [allenai/WildChat-4.8M](https://huggingface.co/datasets/allenai/WildChat-4.8M) collection.
+It serves as a large-scale resource for analyzing user intent, conversational diversity, and prompt engineering patterns.
+
+### Files
+- `en_prompts`: All English-language first messages from user conversations.
+  - Each record represents the first user prompt.
+  - Exact duplicates are removed.
+  - Similar prompts may still remain.
+
+- `sample_k*`: Randomly sampled and semantically clustered subsets.
+  - Each subset has been clustered from 200 000 prompts sampled from `en_prompts`.
+  - Agglomerative clustering performed on embeddings from the [MongoDB/mdbr-leaf-mt](https://huggingface.co/MongoDB/mdbr-leaf-mt) model.
+  - Prompts longer than 500 tokens (using the [meta-llama/Llama-3.1-8B-Instruct](https://huggingface.co/meta-llama/Llama-3.1-8B-Instruct)) were truncated to the first 100 and last 100 tokens.
+
+## Usage
+This dataset can support research and applications including:
+- Understanding common user prompt intentions.
+- Improving model safety, robustness, and interpretability.
+- Designing prompt classifiers or personalization heuristics.
+- Studying real-world conversational behaviors.
+
+## Limitations
+- Contains authentic user inputs, which may include offensive or biased content.
+- Prompts have been de-identified but not exhaustively filtered.
+- Semantic clustering may produce imperfect groupings due to embedding limitations.
+
+## License
+
+ODC-BY like the original dataset.
+
+Please consider citing the original authors if you find this derived dataset useful:
+
+```
+@inproceedings{
+  zhao2024wildchat,
+  title={WildChat: 1M Chat{GPT} Interaction Logs in the Wild},
+  author={Wenting Zhao and Xiang Ren and Jack Hessel and Claire Cardie and Yejin Choi and Yuntian Deng},
+  booktitle={The Twelfth International Conference on Learning Representations},
+  year={2024},
+  url={https://openreview.net/forum?id=Bl8u7ZRlbM}
+}
+```
+
+```
+@inproceedings{deng2024wildvis,
+  title     = "{W}ild{V}is: Open Source Visualizer for Million-Scale Chat Logs in the Wild",
+  author    = "Deng, Yuntian and Zhao, Wenting and Hessel, Jack and Ren, Xiang and Cardie, Claire and Choi, Yejin",
+  booktitle = "Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing: System Demonstrations",
+  year      = "2024",
+  url       = "https://aclanthology.org/2024.emnlp-demo.50/"
+}
+```