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# data-intermediate |
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If you are looking for our test ready version, please refer to [mango-ttic/data](https://huggingface.co/datasets/mango-ttic/data) |
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Find more about us at [mango.ttic.edu](https://mango.ttic.edu) |
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## Folder Structure |
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Each folder inside `data-intermediate` contains |
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all intermediate files we used during data annotation and generation. Here is the tree structure from game `data-intermediate/night` . |
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```bash |
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data-intermediate/night/ |
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├── night.all2all.json # all simple paths between any 2 nodes |
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├── night.all_pairs.json # all connectivity between any 2 nodes |
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├── night.anno2code.json # annotation to codename mapping |
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├── night.code2anno.json # codename to annotation mapping |
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├── night.edges.json # list of all edges |
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├── night.map.human # human map derived from human annotation |
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├── night.map.machine # machine map derived from exported action sequences |
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├── night.map.reversed # reverse map derived from human annotation map |
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├── night.moves # list of mentioned actions |
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├── night.nodes.json # list of all nodes |
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├── night.valid_moves.csv # human annotation |
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├── night.walkthrough # enriched walkthrough exported from Jericho simulator |
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└── night.walkthrough_acts # action sequences exported from Jericho simulator |
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``` |
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## Variations |
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### 70-step vs all-step version |
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In our paper, we benchmark using the first 70 steps of the walkthrough from each game. We also provide all-step versions of both `data` and `data-intermediate` collection. |
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* **70-step** `data-intermediate-70steps.tar.zst`: contains the first 70 steps of each walkthrough. If the complete walkthrough is shorter than 70 steps, then all steps are used. |
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* **All-step** `data-intermediate.tar.zst`: contains all steps of each walkthrough. |
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### Word-only & Word+ID |
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* **Word-only** `data-intermediate.tar.zst`: Nodes are annotated by additional descriptive text to distinguish different locations with similar names. |
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* **Word + Object ID** `data-intermediate-objid.tar.zst`: variation of the word-only version, where nodes are labeled using minimaly fixed names with object id from Jericho simulator. |
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* **Word + Random ID** `data-intermediate-randid.tar.zst`: variation of the Jericho ID version, where the Jericho object id replaced with randomly generated integer. |
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We primarily rely on the **word-only** version as benchmark, yet providing word+ID version for diverse benchmark settings. |
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## How to use |
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We use `data-intermediate.tar.zst` as an example here. |
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### 1. download from Huggingface |
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#### by directly download |
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You can selectively download certain variation of your choice. |
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#### by git |
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Make sure you have [git-lfs](https://git-lfs.com) installed |
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```bash |
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git lfs install |
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git clone https://huggingface.co/datasets/mango-ttic/data-intermediate |
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# or, use hf-mirror if your connection to huggingface.co is slow |
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# git clone https://hf-mirror.com/datasets/mango-ttic/data-intermediate |
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``` |
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If you want to clone without large files - just their pointers |
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```bash |
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GIT_LFS_SKIP_SMUDGE=1 git clone https://huggingface.co/datasets/mango-ttic/data-intermediate |
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# or, use hf-mirror if your connection to huggingface.co is slow |
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# GIT_LFS_SKIP_SMUDGE=1 git clone https://hf-mirror.com/datasets/mango-ttic/data-intermediate |
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``` |
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### 2. decompress |
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Because some json files are huge, we use tar.zst to package the data efficiently. |
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silently decompress |
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```bash |
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tar -I 'zstd -d' -xf data-intermediate.tar.zst |
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``` |
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or, verbosely decompress |
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```bash |
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zstd -d -c data-intermediate.tar.zst | tar -xvf - |
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``` |
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