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‎.gitignore

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# Byte-compiled / optimized / DLL files
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__pycache__/
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*.py[cod]
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*$py.class
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# C extensions
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*.so
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# Distribution / packaging
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.Python
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build/
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develop-eggs/
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dist/
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downloads/
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eggs/
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.eggs/
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lib/
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lib64/
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parts/
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sdist/
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var/
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wheels/
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share/python-wheels/
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*.egg-info/
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.installed.cfg
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*.egg
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MANIFEST
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# PyInstaller
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# Usually these files are written by a python script from a template
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# before PyInstaller builds the exe, so as to inject date/other infos into it.
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*.manifest
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*.spec
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# Installer logs
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pip-log.txt
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pip-delete-this-directory.txt
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# Unit test / coverage reports
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htmlcov/
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.tox/
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.nox/
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.coverage
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.coverage.*
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.cache
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nosetests.xml
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coverage.xml
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*.cover
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*.py,cover
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.hypothesis/
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.pytest_cache/
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cover/
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# Translations
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*.mo
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*.pot
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# Django stuff:
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*.log
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local_settings.py
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db.sqlite3
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db.sqlite3-journal
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# Flask stuff:
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instance/
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.webassets-cache
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# Scrapy stuff:
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.scrapy
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# Sphinx documentation
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docs/_build/
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# PyBuilder
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.pybuilder/
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target/
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# Jupyter Notebook
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.ipynb_checkpoints
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# IPython
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profile_default/
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ipython_config.py
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# pyenv
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# For a library or package, you might want to ignore these files since the code is
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# intended to run in multiple environments; otherwise, check them in:
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# .python-version
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# pipenv
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# According to pypa/pipenv#598, it is recommended to include Pipfile.lock in version control.
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# However, in case of collaboration, if having platform-specific dependencies or dependencies
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# having no cross-platform support, pipenv may install dependencies that don't work, or not
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# install all needed dependencies.
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#Pipfile.lock
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# poetry
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# Similar to Pipfile.lock, it is generally recommended to include poetry.lock in version control.
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# This is especially recommended for binary packages to ensure reproducibility, and is more
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# commonly ignored for libraries.
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# https://python-poetry.org/docs/basic-usage/#commit-your-poetrylock-file-to-version-control
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#poetry.lock
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# pdm
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# Similar to Pipfile.lock, it is generally recommended to include pdm.lock in version control.
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#pdm.lock
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# pdm stores project-wide configurations in .pdm.toml, but it is recommended to not include it
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# in version control.
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# https://pdm.fming.dev/latest/usage/project/#working-with-version-control
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.pdm.toml
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.pdm-python
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.pdm-build/
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# PEP 582; used by e.g. github.com/David-OConnor/pyflow and github.com/pdm-project/pdm
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__pypackages__/
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# Celery stuff
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celerybeat-schedule
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celerybeat.pid
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# SageMath parsed files
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*.sage.py
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# Environments
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.env
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.venv
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env/
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venv/
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ENV/
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env.bak/
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venv.bak/
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# Spyder project settings
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.spyderproject
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.spyproject
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# Rope project settings
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.ropeproject
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# mkdocs documentation
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/site
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# mypy
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.mypy_cache/
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.dmypy.json
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dmypy.json
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# Pyre type checker
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.pyre/
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# pytype static type analyzer
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.pytype/
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# Cython debug symbols
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cython_debug/
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# PyCharm
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# JetBrains specific template is maintained in a separate JetBrains.gitignore that can
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# be found at https://github.com/github/gitignore/blob/main/Global/JetBrains.gitignore
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# and can be added to the global gitignore or merged into this file. For a more nuclear
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# option (not recommended) you can uncomment the following to ignore the entire idea folder.
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#.idea/
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# Credentials
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/credentials
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# Results
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/results
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# Virtual environment
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/virtual_environment

‎README.md

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# mdpi-reflection
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Code for the paper "Agentic Workflows for Improving LLM Reasoning in Robotic Object-Centered Planning" presented in MDPI Robotics Journal
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Code repository for the work "Enhancing LLMs with Agentic Workflows. Application to Robotic Task-Oriented Navigation"
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# Installation
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Use the virtual environment located in ``

‎data/queries.yaml

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queries:
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# descriptive
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# easy
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query_01: "I'm searching for a bike in the room"
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query_02: "Where is the bag?"
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query_03: "Is there a refrigerator?"
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query_04: "I'm searching the bed"
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query_05: "I need to go to the toilet"
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# hard
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query_06: "I need the book that is on a table"
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query_07: "Is there a kitchen sink?"
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query_08: "A chair close to a table"
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query_09: "Is there a microwave that is close to an oven?"
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query_10: "A couch that is in front of the TV"
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# affordance
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# easy
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query_11: "What can I use to hold my coffee while I sit?"
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query_12: "I need to write notes during a meeting"
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query_13: "I need something to block sunlight from entering the room"
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query_14: "Where can I leave the dirty dishes?"
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query_15: "Where can I sit down and work on my laptop?"
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# hard
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query_16: "Where can I sit and observe the entire view of the room without obstruction?"
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query_17: "What could display the current weather forecast?"
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query_18: "I want to drop a delicate object, away from foot traffic"
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query_19: "I want to perform my oral hygiene routine"
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query_20: "I would like to go out for some exercise"
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# negation
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# easy
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query_21: "Is there anything to sit on, other than a chair?"
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query_22: "I need something hard, other than a bag"
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query_23: "Tell me something durable other than a bed"
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query_24: "Tell me something I can open that is not a refrigerator"
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query_25: "Is there something immovable, other than a refrigerator?"
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# hard
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query_26: "Something that changes over time and is not a clock."
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query_27: "Is there something foldable, other than a laptop?"
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query_28: "Something I can put things in, other than a backpack."
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query_29: "Something that is not at room temperature"
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query_30: "Something where I can pour liquids, that doesn't close?"

‎data/responses/room1_jesus.json

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{
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"responses": {
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"query_01": [
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"obj1",
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"obj2",
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"obj3"
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],
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"query_02": [
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"obj1"
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],
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"query_03": [
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"obj14",
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"obj45"
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],
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"query_04": [],
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"query_05": [],
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"query_06": [],
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"query_07": [],
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"query_08": [],
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"query_09": [],
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"query_10": [],
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"query_11": [],
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"query_12": [],
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"query_13": [],
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"query_14": [],
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"query_15": [],
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"query_16": [],
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"query_17": [],
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"query_18": [],
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"query_19": [],
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"query_20": [],
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"query_21": [],
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"query_22": [],
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"query_23": [],
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"query_24": [],
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"query_25": [],
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"query_26": [],
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"query_27": [],
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"query_28": [],
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"query_29": [],
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"query_30": []
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}
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}

‎data/responses/scannet_scene0000_00_jesus.json

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{
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"responses": {
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"query_01": [
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"obj67"
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],
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"query_02": [
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"obj71",
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"obj47"
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],
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"query_03": [
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"obj62",
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"obj57"
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],
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"query_04": [
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"obj18",
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"obj114"
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],
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"query_05": [
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"obj57",
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"obj117"
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],
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"query_06": [
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"obj102",
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"obj105"
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],
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"query_07": [
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"obj55"
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],
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"query_08": [
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"obj64"
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],
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"query_09": [
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"obj131"
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],
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"query_10": [],
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"query_11": [
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"obj138"
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],
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"query_12": [
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"obj138"
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],
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"query_13": [],
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"query_14": [
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"obj55"
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],
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"query_15": [
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"obj64",
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"obj138"
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],
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"query_16": [
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"obj142"
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],
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"query_17": [
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"obj16",
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"obj10"
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],
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"query_18": [
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"obj138"
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],
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"query_19": [
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"obj49",
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"obj55"
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],
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"query_20": [
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"obj67"
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],
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"query_21": [
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"obj67",
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"obj18"
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],
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"query_22": [
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"obj138",
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"obj1"
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],
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"query_23": [
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"obj138",
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"obj67",
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"obj62"
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],
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"query_24": [
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"obj131",
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"obj102"
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],
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"query_25": [
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"obj57",
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"obj55"
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],
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"query_26": [],
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"query_27": [
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"obj71"
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],
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"query_28": [
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"obj131"
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],
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"query_29": [
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"obj62"
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],
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"query_30": [
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"obj55",
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"obj127"
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]
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}
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}

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