YAML Metadata Warning:The task_categories "conversational" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other

ALFWorld Trajectory Dataset v1 (v5_cleaned + additive)

Overview

This dataset is a simple concatenation of:

Base: moroqq/sft_alfworld_trajectory_dataset_v5_cleaned
- https://huggingface.co/datasets/moroqq/sft_alfworld_trajectory_dataset_v5_cleaned
Additive (local JSONL): additive_data/sft_alfworld_trajectory_additive_data_96cases.jsonl

The additive JSONL is normalized to match the base dataset schema (messages, metadata).

Statistics

base rows: 2277
additive rows: 96
total rows: 2373

Usage

from datasets import load_dataset

ds = load_dataset("moroqq/sft_alfworld_trajectory_dataset_v2")
print(ds["train"][0].keys())

Created

2026-02-23T01:06:54+00:00 (UTC)

Downloads last month: 21

Total file size:

1.54 MB

Models trained or fine-tuned on moroqq/sft_alfworld_trajectory_dataset_v2