datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
trajectory_data_llada_32
d3LLM Trajectory Data
Paper | GitHub | Blog | Demo
This repository contains the pseudo-trajectory distillation data presented in the paper "d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation".
Introduction
d3LLM (pseuDo-Distilled Diffusion LLM) is a novel framework for building ultra-fast diffusion language models with negligible accuracy degradation. This dataset provides the pseudo-trajectory data extracted from teacher models, enabling the… See the full description on the dataset page: https://huggingface.co/datasets/d3LLM/trajectory_data_llada_32.trajectory_data_dream_32
d3LLM Trajectory Dataset
Project Page | Paper | GitHub | Blog
This repository contains the pseudo-trajectory distillation data used for training d3LLM (pseuDo-Distilled Diffusion Large Language Model), as introduced in the paper "d3LLM: Ultra-Fast Diffusion LLM using Pseudo-Trajectory Distillation".
Introduction
d3LLM is a framework designed to strike a balance between accuracy and parallelism in diffusion-based large language models (dLLMs). This dataset consists of… See the full description on the dataset page: https://huggingface.co/datasets/d3LLM/trajectory_data_dream_32.sft_alfworld_trajectory_dataset_v5
ALFWorld Trajectory Dataset
Overview
This is a synthetic SFT (Supervised Fine-Tuning) dataset designed for agent training in ALFWorld-compatible environments. The dataset programmatically generates expert trajectories without requiring an actual ALFWorld environment or a large language model.
Key Approach
Template-based Simulation: Lightweight simulator based on published ALFWorld information (papers, ReAct prompt examples).
Subgoal Decomposition: Rule-based… See the full description on the dataset page: https://huggingface.co/datasets/u-10bei/sft_alfworld_trajectory_dataset_v5.agenticml-agent-trajectory-dataset
Telos Agent Trajectory Dataset
Synthetic multi-turn agent trajectories for training LLMs to emit structured tool-use loops. Each trajectory is provided in two parallel representations: the Telos frame format and an equivalent ChatML+tools rendering of the same behavior.
This is synthetic data distilled from Qwen3.5 Plus (2026-04-20) via OpenRouter. Users who require data not derived from a specific provider should factor this into licensing and downstream-use decisions before… See the full description on the dataset page: https://huggingface.co/datasets/kosiasuzu/agenticml-agent-trajectory-dataset.tool-reasoning-sft-CODING-MEnvData-SWE-Trajectory-data-cleaned-rectified
MEnvData-SWE-Trajectory — Cleaned & Rectified
3,872 complete agent execution trajectories for real-world software engineering tasks, converted into a strict reasoning + tool-call format with validated FSM transitions.
Origin
Derived from ernie-research/MEnvData-SWE-Trajectory, which extends MEnvData-SWE with full agent execution records across 3,005 task instances from 942 repositories in 10 programming languages (Python, Java, TypeScript, JavaScript, Rust, Go, C++, Ruby… See the full description on the dataset page: https://huggingface.co/datasets/AmanPriyanshu/tool-reasoning-sft-CODING-MEnvData-SWE-Trajectory-data-cleaned-rectified.sft_alfworld_trajectory_dataset_v4
ALFWorld Trajectory Dataset
Overview
This is a synthetic SFT (Supervised Fine-Tuning) dataset designed for agent training in ALFWorld-compatible environments. The dataset programmatically generates expert trajectories without requiring an actual ALFWorld environment or a large language model.
Key Approach
Template-based Simulation: Lightweight simulator based on published ALFWorld information (papers, ReAct prompt examples).
Subgoal Decomposition: Rule-based… See the full description on the dataset page: https://huggingface.co/datasets/u-10bei/sft_alfworld_trajectory_dataset_v4.sft_alfworld_trajectory_dataset
ALFWorld Trajectory Dataset
Overview
This is a synthetic SFT (Supervised Fine-Tuning) dataset designed for agent training in ALFWorld-compatible environments. The dataset programmatically generates expert trajectories without requiring an actual ALFWorld environment or a large language model.
Key Approach
Template-based Simulation: Lightweight simulator based on published ALFWorld information (papers, ReAct prompt examples).
Subgoal Decomposition: Rule-based… See the full description on the dataset page: https://huggingface.co/datasets/u-10bei/sft_alfworld_trajectory_dataset.sft_alfworld_trajectory_dataset_v3
ALFWorld Trajectory Dataset
Overview
This is a synthetic SFT (Supervised Fine-Tuning) dataset designed for agent training in ALFWorld-compatible environments. The dataset programmatically generates expert trajectories without requiring an actual ALFWorld environment or a large language model.
Key Approach
Template-based Simulation: Lightweight simulator based on published ALFWorld information (papers, ReAct prompt examples).
Subgoal Decomposition: Rule-based… See the full description on the dataset page: https://huggingface.co/datasets/u-10bei/sft_alfworld_trajectory_dataset_v3.sft_alfworld_trajectory_dataset_v3to5_admissible_success
Dataset Card for ALFWorld SFT Trajectories with Admissible Actions (v3–v5)
Overview
This dataset contains a subset of ALFWorld-style trajectories used for supervised fine-tuning (SFT) of an agent interacting with a textual household environment.
It is constructed by merging v3, v4, and v5 of the original
u-10bei/sft_alfworld_trajectory_dataset_* series and filtering only trajectories that include admissible actions in the observation text.
Each example corresponds to one… See the full description on the dataset page: https://huggingface.co/datasets/kuririrn/sft_alfworld_trajectory_dataset_v3to5_admissible_success.sft_alfworld_trajectory_dataset_v5
ALFWorld Trajectory Dataset
Overview
This is a synthetic SFT (Supervised Fine-Tuning) dataset designed for agent training in ALFWorld-compatible environments. The dataset programmatically generates expert trajectories without requiring an actual ALFWorld environment or a large language model.
Key Approach
Template-based Simulation: Lightweight simulator based on published ALFWorld information (papers, ReAct prompt examples).
Subgoal Decomposition: Rule-based… See the full description on the dataset page: https://huggingface.co/datasets/rokugatsu/sft_alfworld_trajectory_dataset_v5.sft_alfworld_trajectory_dataset_v5_cleaned
ALFWorld Trajectory Dataset v5 (Cleaned)
This dataset is a cleaned derivative of:
u-10bei/sft_alfworld_trajectory_dataset_v5
https://huggingface.co/datasets/u-10bei/sft_alfworld_trajectory_dataset_v5
What was removed?
We removed samples that contain the string Nothing happens. (case-insensitive) in any user message.
Rationale: those trajectories typically correspond to invalid / non-admissible actions (e.g. hallucinated object ids)
and can increase the probability of… See the full description on the dataset page: https://huggingface.co/datasets/moroqq/sft_alfworld_trajectory_dataset_v5_cleaned.sft_alfworld_trajectory_dataset_v3to5_admissible_plus_v5extra500
Dataset Card for ALFWorld SFT Trajectories (v3–v5 Admissible + v5 Extra 500)
Overview
This dataset extends the Admissible-only subset by adding a fixed
number of trajectories without admissible actions from v5.
It is constructed as follows:
Take all trajectories (episodes) from:
u-10bei/sft_alfworld_trajectory_dataset_v3
u-10bei/sft_alfworld_trajectory_dataset_v4
u-10bei/sft_alfworld_trajectory_dataset_v5
that contain "admissible actions" in at least one observation… See the full description on the dataset page: https://huggingface.co/datasets/kuririrn/sft_alfworld_trajectory_dataset_v3to5_admissible_plus_v5extra500.sft_alfworld_trajectory_dataset_v3to5_admissible_all
Dataset Card for ALFWorld SFT Trajectories with Admissible Actions (v3–v5)
Overview
This dataset contains a subset of ALFWorld-style trajectories used for supervised fine-tuning (SFT) of an agent interacting with a textual household environment.
It is constructed by merging v3, v4, and v5 of the original
u-10bei/sft_alfworld_trajectory_dataset_* series and filtering only trajectories that include admissible actions in the observation text.
Each example corresponds to one… See the full description on the dataset page: https://huggingface.co/datasets/kuririrn/sft_alfworld_trajectory_dataset_v3to5_admissible_all.sft_alfworld_trajectory_dataset_v2
ALFWorld Trajectory Dataset
Overview
This is a synthetic SFT (Supervised Fine-Tuning) dataset designed for agent training in ALFWorld-compatible environments. The dataset programmatically generates expert trajectories without requiring an actual ALFWorld environment or a large language model.
Key Approach
Template-based Simulation: Lightweight simulator based on published ALFWorld information (papers, ReAct prompt examples).
Subgoal Decomposition: Rule-based… See the full description on the dataset page: https://huggingface.co/datasets/u-10bei/sft_alfworld_trajectory_dataset_v2.sft_alfworld_trajectory_dataset_v2
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… See the full description on the dataset page: https://huggingface.co/datasets/moroqq/sft_alfworld_trajectory_dataset_v2.sft_alfworld_trajectory_dataset_v3to5_admissible
Dataset Card for ALFWorld SFT Trajectories with Admissible Actions (v3–v5)
Overview
This dataset contains a subset of ALFWorld-style trajectories used for
supervised fine-tuning (SFT) of an agent that interacts with a textual
household environment.
It is constructed by merging v3, v4, and v5 of the original
u-10bei/sft_alfworld_trajectory_dataset_* series and filtering only
trajectories that include admissible actions in the observation text.
Each example corresponds to… See the full description on the dataset page: https://huggingface.co/datasets/kuririrn/sft_alfworld_trajectory_dataset_v3to5_admissible.sft_alfworld_trajectory_dataset_v1
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.jsonl
The additive JSONL is normalized to match the base dataset schema (messages, metadata).
Statistics
base rows: 2277
additive rows:… See the full description on the dataset page: https://huggingface.co/datasets/moroqq/sft_alfworld_trajectory_dataset_v1.