moroqq/dbbench_and_alfworld_sft_dataset_v2

DBBench + ALFWorld SFT Dataset (Merged)

Overview

This dataset is a simple concatenation (merge) of the following two synthetic SFT datasets:

• —ALFWorld Trajectory Dataset: moroqq/sft_alfworld_trajectory_dataset_v5_cleaned
• —https://huggingface.co/datasets/moroqq/sftalfworldtrajectorydatasetv5_cleaned
• —DBBench SFT Dataset (ReAct Format): moroqq/dbbench_sft_dataset200
• —https://huggingface.co/datasets/moroqq/dbbenchsftdataset200

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: 2477
• —dbbench: 200
• —alfworld: 2277

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

{
  "id": "dbbench_sft_0000",
  "source": "dbbench",
  "messages": [
    {"role": "user", "content": "..."},
    {"role": "assistant", "content": "..."}
  ],
  "metadata_json": "{"sql": "...", ...}"
}

Usage

from datasets import load_dataset
import json

ds = load_dataset("moroqq/dbbench_and_alfworld_sft_dataset_v2")
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

• —2026-02-21T12:28:29+00:00 (UTC)