Datasets:
Tasks:
Text Generation
Modalities:
Text
Formats:
parquet
Sub-tasks:
conversational
Languages:
English
Size:
1K - 10K
License:
Add dataset card for mixed ALFWorld trajectories
Browse files
README.md
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data_files:
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- split: train
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path: data/train-*
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datasets:
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- kuririrn/sft_alfworld_trajectory_dataset_v3to5_admissible_plus_v5extra500
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pretty_name: ALFWorld SFT Trajectories (v3–v5 Admissible + v5 Extra 500)
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tags:
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- alfworld
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- sft
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- text-generation
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- tool-use
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- reinforcement-learning
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language:
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- en
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license: other
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task_categories:
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- text-generation
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task_ids:
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- conversational
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size_categories:
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- 1K<n<10K
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# Dataset Card for ALFWorld SFT Trajectories (v3–v5 Admissible + v5 Extra 500)
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## Overview
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This dataset extends the **Admissible-only** subset by adding a fixed
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number of trajectories without admissible actions from v5.
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It is constructed as follows:
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1. Take all trajectories (episodes) from:
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- `u-10bei/sft_alfworld_trajectory_dataset_v3`
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- `u-10bei/sft_alfworld_trajectory_dataset_v4`
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- `u-10bei/sft_alfworld_trajectory_dataset_v5`
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that contain "admissible actions" in at least one observation
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message. (Same as the admissible-only dataset.)
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2. Additionally, sample 500 trajectories from
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`u-10bei/sft_alfworld_trajectory_dataset_v5` that do **not** contain
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admissible actions.
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3. Concatenate them and shuffle.
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This dataset can be used to evaluate the robustness of an SFT model
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trained mainly on admissible-constrained trajectories, when exposed to
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a mix of constrained and unconstrained episodes.
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