The-CoLab/multilingual-textarena-SimpleTak-v0-train
TextArena Language Trajectories This dataset contains language-conditioned TextArena trajectory data. Each dataset configuration corresponds to a different model, experiment group, or source folder. Available configurations: gemma4-e4b-it qwen3-4b ministral3-3b-instruct Usage Install the datasets library: pip install datasets Load a specific configuration: from datasets import load_dataset dataset =… See the full description on the dataset page: https://huggingface.co/datasets/The-CoLab/multilingual-textarena-SimpleTak-v0-train.
TextArena Language Trajectories
This dataset contains language-conditioned TextArena trajectory data.
Each dataset configuration corresponds to a different model, experiment group, or source folder.
Available configurations:
- gemma4-e4b-it
- qwen3-4b
- ministral3-3b-instruct
Usage
Install the datasets library:
pip install datasetsLoad a specific configuration:
from datasets import load_dataset
dataset = load_dataset("The-CoLab/multilingual-textarena-SimpleTak-v0-train", name="gemma4-e4b-it")The train split contains row-level trajectory records from the uploaded files.
Columns
Common columns may include:
- game_idx
- step_idx
- env_id
- pid
- policy_id
- model_name
- observation
- raw_action
- rawactionlen
- action
- reward
- policy_epoch
- step_info
- game_info
- lang
- lang_map
Some columns may vary depending on the original files.
Notes
Nested fields such as stepinfo, gameinfo, and lang_map are stored as strings for compatibility.
