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update README for release

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- ## data-intermediate
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- Because some json files are huge, we use tar.zst to package the data.
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- 1. to compress the data
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ```bash
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- tar -I 'zstd' -cvf data-intermediate.tar.zst --exclude='*.md' data-intermediate/ # exclude README.md and challenging_parsing.md
 
 
 
 
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  ```
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- 2. to decompress the data to `your_folder/`
 
 
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- first you should make sure `your_folder/` exist. If not, create it.
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- silently
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  ```bash
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- tar -I 'zstd -d' -xf data-intermediate.tar.zst -C your_folder/
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  ```
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- or, with progress verbose
 
 
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  ```bash
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- zstd -d -c data-intermediate.tar.zst | tar -xvf - -C your_folder/
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- ```
 
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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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+ ## Folder Structure
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+
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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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+
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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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+
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+ ## Variations
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+
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+ <!-- ### 70-step vs all-step version
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+
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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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+
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+ ### Word-only & Word+ID
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+
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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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+
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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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+
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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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+
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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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+
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+ ## How to use
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+
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+ We use `data-intermediate.tar.zst` as an example here.
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+
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+ ### 1. download from Huggingface
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+
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+ #### by directly download
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+
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+ ![](direct_download_data-intermediate.png)
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+
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+ #### by git
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+
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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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+
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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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+ ### 2. decompress
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+
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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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+
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+ or, verbosely decompress
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+
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  ```bash
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+ zstd -d -c data-intermediate.tar.zst | tar -xvf -
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+ ```
direct_download_data-intermediate.png ADDED

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