Add dataset card

README.md

@@ -1,27 +1,86 @@
 ---
-dataset_info:
-  features:
-  - name: id
-    dtype: string
-  - name: source
-    dtype: string
-  - name: messages
-    list:
-    - name: role
-      dtype: string
-    - name: content
-      dtype: string
-  - name: metadata_json
-    dtype: string
-  splits:
-  - name: train
-    num_bytes: 12265022
-    num_examples: 3702
-  download_size: 2167777
-  dataset_size: 12265022
-configs:
-- config_name: default
-  data_files:
-  - split: train
-    path: data/train-*
+license: mit
+task_categories:
+- text-generation
+- conversational
+- table-question-answering
+language:
+- en
+- ja
+tags:
+- synthetic
+- sft
+- react
+- agent
+- alfworld
+- dbbench
+size_categories:
+- 1K<n<10K
 ---
+
+# DBBench + ALFWorld SFT Dataset (Merged)
+
+## Overview
+
+This dataset is a **simple concatenation (merge)** of the following two synthetic SFT datasets:
+
+- **ALFWorld Trajectory Dataset**: `u-10bei/sft_alfworld_trajectory_dataset_v5`
+  - https://huggingface.co/datasets/u-10bei/sft_alfworld_trajectory_dataset_v5
+- **DBBench SFT Dataset (ReAct Format)**: `u-10bei/dbbench_sft_dataset_react_v4`
+  - https://huggingface.co/datasets/u-10bei/dbbench_sft_dataset_react_v4
+
+The goal is to provide a single dataset repo that contains both:
+
+- household task-solving trajectories (ALFWorld-compatible)
+- SQL / database operation trajectories (AgentBench DBBench-compatible)
+
+## Statistics
+
+- **Total conversations**: 3702
+  - `dbbench`: 1200
+  - `alfworld`: 2502
+
+## Data Format
+
+To avoid schema mismatches between the two source datasets, we normalize into a common schema:
+
+- `id` (string): unique sample id
+- `source` (string): `"dbbench"` or `"alfworld"`
+- `messages` (list): list of `{role, content}` objects
+- `metadata_json` (string): JSON dump of the original `metadata` object from the source dataset
+
+### Example
+
+```json
+{
+  "id": "dbbench_sft_0000",
+  "source": "dbbench",
+  "messages": [
+    {"role": "user", "content": "..."},
+    {"role": "assistant", "content": "..."}
+  ],
+  "metadata_json": "{"sql": "...", ...}"
+}
+```
+
+## Usage
+
+```python
+from datasets import load_dataset
+import json
+
+ds = load_dataset("moroqq/dbbench_and_alfworld_sft_dataset")
+sample = ds["train"][0]
+
+metadata = json.loads(sample["metadata_json"])
+messages = sample["messages"]
+```
+
+## Notes
+
+- This repo is **derived** from the two datasets linked above. Please refer to the original dataset cards for details on generation, limitations, and intended use.
+- License follows the original datasets: **MIT**.
+
+## Created
+
+- 2026-02-17T22:25:19+00:00 (UTC)