data

If you are looking for our intermediate labeling version, please refer to mango-ttic/data-intermediate

Find more about us at mango.ttic.edu

Folder Structure

Each folder inside data contains the cleaned up files used during LLM inference and results evaluations. Here is the tree structure from game data/night .

data/night/
├── night.actions.json      # list of mentioned actions
├── night.all2all.json      # all simple paths between any 2 locations
├── night.all_pairs.json    # all connectivity between any 2 locations
├── night.edges.json        # list of all edges
├── night.locations.json    # list of all locations
└── night.walkthrough       # enriched walkthrough exported from Jericho simulator

Variations

Word-only & Word+ID

Word-only data.tar.zst: Nodes are annotated by additional descriptive text to distinguish different locations with similar names.
Word + Object ID data-objid.tar.zst: variation of the word-only version, where nodes are labeled using minimaly fixed names with object id from Jericho simulator.
Word + Random ID data-randid.tar.zst: variation of the Jericho ID version, where the Jericho object id replaced with randomly generated integer.

We primarily rely on the word-only version as benchmark, yet providing word+ID version for diverse benchmark settings.

How to use

We use data.tar.zst as an example here.

1. download from Huggingface

by directly download

by git

Make sure you have git-lfs installed

git lfs install
git clone https://huggingface.co/datasets/mango-ttic/data

# or, use hf-mirror if your connection to huggingface.co is slow
# git clone https://hf-mirror.com/datasets/mango-ttic/data

2. decompress

Because some json files are huge, we use tar.zst to package the data efficiently.

silently decompress

tar -I 'zstd -d' -xf data.tar.zst

or, verbosely decompress

zstd -d -c data.tar.zst | tar -xvf -