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README.md

@@ -1,4 +1,5 @@
 ---
+size_categories: n<1K
 dataset_info:
   features:
   - name: examples
@@ -28,4 +29,78 @@ configs:
   data_files:
   - split: train
     path: data/train-*
+tags:
+- synthetic
+- distilabel
+- rlaif
 ---
+
+<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 generated_gads_synthetic12
+
+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/ukav/generated_gads_synthetic12/raw/main/pipeline.yaml"
+```
+
+or explore the configuration:
+
+```console
+distilabel pipeline info --config "https://huggingface.co/datasets/ukav/generated_gads_synthetic12/raw/main/pipeline.yaml"
+```
+
+## Dataset structure
+
+The examples have the following structure per configuration:
+
+
+<details><summary> Configuration: default </summary><hr>
+
+```json
+{
+    "Unnamed: 2": null,
+    "distilabel_metadata": {
+        "raw_input_text_generation_0": null,
+        "raw_output_text_generation_0": null
+    },
+    "examples": "What is our overall Cost Per Conversion (CPA) for the last month?",
+    "generation": null,
+    "model_name": null,
+    "query": "SELECT metrics.cost_per_conversion FROM customer WHERE segments.date DURING LAST_MONTH ORDER BY metrics.cost_per_conversion DESC PARAMETERS omit_unselected_resource_names=true"
+}
+```
+
+This subset can be loaded as:
+
+```python
+from datasets import load_dataset
+
+ds = load_dataset("ukav/generated_gads_synthetic12", "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("ukav/generated_gads_synthetic12")
+```
+
+
+</details>
+
+
+
+