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README.md

@@ -1,4 +1,10 @@
 ---
+size_categories: n<1K
+task_categories:
+- text-generation
+- text2text-generation
+- text-retrieval
+- question-answering
 dataset_info:
   features:
   - name: context
@@ -18,4 +24,73 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+tags:
+- synthetic
+- distilabel
+- rlaif
+- datacraft
 ---
+
+<p align="left">
+  <a href="https://github.com/argilla-io/distilabel">
+    <img src="https://raw.githubusercontent.com/argilla-io/distilabel/main/docs/assets/distilabel-badge-light.png" alt="Built with Distilabel" width="200" height="32"/>
+  </a>
+</p>
+
+# Dataset Card for fire
+
+This dataset has been created with [distilabel](https://distilabel.argilla.io/).
+
+
+
+## Dataset Summary
+
+This dataset contains a `pipeline.yaml` which can be used to reproduce the pipeline that generated it in distilabel using the `distilabel` CLI:
+
+```console
+distilabel pipeline run --config "https://huggingface.co/datasets/WayneWX/fire/raw/main/pipeline.yaml"
+```
+
+or explore the configuration:
+
+```console
+distilabel pipeline info --config "https://huggingface.co/datasets/WayneWX/fire/raw/main/pipeline.yaml"
+```
+
+## Dataset structure
+
+The examples have the following structure per configuration:
+
+
+<details><summary> Configuration: default </summary><hr>
+
+```json
+{
+    "context": "**\u6d88\u9632\u51fa\u8b66\u6570\u636e**\n\n*   \u4eba\u529b\u8d44\u6e90\u914d\u5907\uff1a\n    *   \u6d88\u9632\u5458\u6570\u91cf\uff1a\u6bcf\u5343\u4eba\u4e2d1\u540d\u6d88\u9632\u5458\n    *   \u8f7d\u5177\u4eba\u5458\u6bd4\u4f8b\uff1a\u6d88\u9632\u5458\uff1a\u8f7d\u5177\u4eba\u5458 = 3:2\n    *   \u6307\u6325\u5b98\u548c\u6280\u672f\u4eba\u5458\u6bd4\u4f8b\uff1a\u6d88\u9632\u5458\uff1a\u6307\u6325\u5b98\u548c\u6280\u672f\u4eba\u5458 = 10:1\n*   \u88c5\u5907\u914d\u7f6e\uff1a\n    *   \u6d88\u9632\u8f66\u6570\u91cf\uff1a\u6bcf100\u5e73\u65b9\u5343\u7c731\u8f86\n    *   \u6551\u63f4\u8f66\u6570\u91cf\uff1a\u6bcf50\u5e73\u65b9\u5343\u7c731\u8f86\n    *   \u6551\u63f4\u8247\u6570\u91cf\uff1a\u6cbf\u6d77\u5730\u533a\u6bcf100\u516c\u91cc1\u8258\n*   \u9884\u7b97\u914d\u7f6e\uff1a\n    *   \u6d88\u9632\u5458\u57f9\u8bad\u8d39\u7528\uff1a\u6bcf\u5e74100\u4e07\u5143\u4eba\u6c11\u5e01\n    *   \u8bbe\u5907\u7ef4\u62a4\u8d39\u7528\uff1a\u8bbe\u5907\u6210\u672c\u76845%\n    *   \u6d88\u9632\u6551\u63f4\u8bbe\u5907\u91c7\u8d2d\u8d39\u7528\uff1a\u6bcf\u5e74500\u4e07\u5143\u4eba\u6c11\u5e01",
+    "question": null,
+    "response": "It seems there is no question provided. If you could provide a question related to the document, I\u0027ll be happy to help you answer it based on the information provided."
+}
+```
+
+This subset can be loaded as:
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("WayneWX/fire", "default")
+```
+
+Or simply as it follows, since there's only one configuration and is named `default`: 
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("WayneWX/fire")
+```
+
+
+</details>
+
+
+
+