Upload README.md with huggingface_hub

README.md

@@ -1,4 +1,11 @@
 ---
+size_categories: n<1K
+task_categories:
+- text-generation
+- text2text-generation
+- text-retrieval
+- question-answering
+- sentence-similarity
 dataset_info:
   features:
   - name: context
@@ -22,4 +29,75 @@ 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 my-distiset-139f72e2
+
+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/pychatbot/my-distiset-139f72e2/raw/main/pipeline.yaml"
+```
+
+or explore the configuration:
+
+```console
+distilabel pipeline info --config "https://huggingface.co/datasets/pychatbot/my-distiset-139f72e2/raw/main/pipeline.yaml"
+```
+
+## Dataset structure
+
+The examples have the following structure per configuration:
+
+
+<details><summary> Configuration: default </summary><hr>
+
+```json
+{
+    "context": "GI\u1edaI THI\u1ec6U C\u00d4NG TY\n\n1. Gi\u1edbi thi\u1ec7u chung\n\nT\u00ean c\u00f4ng ty: ABC Beverage Company N\u0103m th\u00e0nh l\u1eadp: 2022 Ng\u00e0nh ngh\u1ec1 kinh doanh: S\u1ea3n xu\u1ea5t v\u00e0 ph\u00e2n ph\u1ed1i c\u00e1c lo\u1ea1i \u0111\u1ed3 u\u1ed1ng nh\u01b0 n\u01b0\u1edbc \u00e9p tr\u00e1i c\u00e2y, tr\u00e0 s\u1eefa, c\u00e0 ph\u00ea v\u00e0 \u0111\u1ed3 u\u1ed1ng s\u1ee9c kh\u1ecfe S\u1ee9 m\u1ec7nh: Mang \u0111\u1ebfn cho kh\u00e1ch h\u00e0ng nh\u1eefng s\u1ea3n ph\u1ea9m \u0111\u1ed3 u\u1ed1ng ch\u1ea5t l\u01b0\u1ee3ng cao, an to\u00e0n v\u00e0 t\u1ed1t cho s\u1ee9c kh\u1ecfe, \u0111\u1ed3ng h\u00e0nh c\u00f9ng l\u1ed1i s\u1ed1ng l\u00e0nh m\u1ea1nh. T\u1ea7m nh\u00ecn: Tr\u1edf th\u00e0nh th\u01b0\u01a1ng hi\u1ec7u \u0111\u1ed3 u\u1ed1ng h\u00e0ng \u0111\u1ea7u t\u1ea1i Vi\u1ec7t Nam trong l\u0129nh v\u1ef1c \u0111\u1ed3 u\u1ed1ng t\u1ef1 nhi\u00ean v\u00e0 \u0111\u1ed3 u\u1ed1ng s\u1ee9c kh\u1ecfe v\u00e0o n\u0103m 2030. Gi\u00e1 tr\u1ecb c\u1ed1t l\u00f5i:",
+    "negative_retrieval": "Gi\u1edbi thi\u1ec7u chung v\u1ec1 ABC B\u00e1n h\u00e0ng tr\u1ef1c tuy\u1ebfn\n\nT\u00ean c\u00f4ng ty: ABC Beverage Company N\u0103m th\u00e0nh l\u1eadp: 2022 Ng\u00e0nh ngh\u1ec1 kinh doanh: B\u00e1n h\u00e0ng tr\u1ef1c tuy\u1ebfn c\u00e1c lo\u1ea1i \u0111\u1ed3 u\u1ed1ng nh\u01b0 n\u01b0\u1edbc \u00e9p tr\u00e1i c\u00e2y, tr\u00e0 s\u1eefa, c\u00e0 ph\u00ea v\u00e0 \u0111\u1ed3 u\u1ed1ng s\u1ee9c kh\u1ecfe S\u1ee9 m\u1ec7nh: Mang \u0111\u1ebfn cho kh\u00e1ch h\u00e0ng nh\u1eefng s\u1ea3n ph\u1ea9m \u0111\u1ed3 u\u1ed1ng ch\u1ea5t l\u01b0\u1ee3ng cao, an to\u00e0n v\u00e0 t\u1ed1t cho s\u1ee9c kh\u1ecfe, \u0111\u1ed3ng h\u00e0nh c\u00f9ng l\u1ed1i s\u1ed1ng l\u00e0nh m\u1ea1nh. T\u1ea7m nh\u00ecn: Tr\u1edf th\u00e0nh th\u01b0\u01a1ng hi\u1ec7u b\u00e1n h\u00e0ng tr\u1ef1c tuy\u1ebfn h\u00e0ng \u0111\u1ea7u t\u1ea1i Vi\u1ec7t Nam trong l\u0129nh v\u1ef1c \u0111\u1ed3 u\u1ed1ng t\u1ef1 nhi\u00ean v\u00e0 \u0111\u1ed3 u\u1ed1ng s\u1ee9c kh\u1ecfe v\u00e0o n\u0103m 2030.",
+    "positive_retrieval": "T\u00ecm hi\u1ec3u th\u00eam v\u1ec1 c\u00f4ng ty ABC Beverage Company c\u00f3 g\u00ec?",
+    "question": "T\u00ecm hi\u1ec3u th\u00eam v\u1ec1 c\u00f4ng ty ABC Beverage Company c\u00f3 g\u00ec?",
+    "response": null
+}
+```
+
+This subset can be loaded as:
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("pychatbot/my-distiset-139f72e2", "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("pychatbot/my-distiset-139f72e2")
+```
+
+
+</details>
+
+
+
+