Update README.md
Browse files- README.md +43 -7
- croissant.json +1 -4
- util/croissant.py +3 -2
- util/environment.export.yml +79 -0
README.md
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#
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## Running code
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### Git submodules
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This project uses git submodules to manage external dependencies. Submodules
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# ELCC
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The Emergent Language Corpus Collection is collection of corpora and metadata
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from a variety of emergent communication simulations.
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## Using ELCC
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You can clone this repository with git LFS and use the data directly or load
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the data via the mlcroissant library. To install the mlcroissant library and
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necessary dependencies, see the conda environment at `util/environment.yml`.
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Below we show an example of loading ELCC's data via mlcroissant.
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```python
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import mlcroissant as mlc
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cr_url = "https://huggingface.co/datasets/bboldt/elcc/raw/main/croissant.json"
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dataset = mlc.Dataset(jsonld=cr_url)
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# A raw corpus of integer arrays; the corpora are named based on their paths;
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# e..g., "systems/babyai-sr/data/GoToObj/corpus.json" becomes
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# "babyai-sr/GoToObj".
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records = dataset.records(record_set="babyai-sr/GoToObj")
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# System-level metadata
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records = dataset.records(record_set="system-metadata")
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# Raw JSON string for system metadata; some fields aren't handled well by
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# Croissant, so you can access them here if need be.
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records = dataset.records(record_set="system-metadata-raw")
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# Corpus metadata, specifically metrics generated by ELCC's analyses
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records = dataset.records(record_set="corpus-metadata")
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# Raw corpus metadata
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records = dataset.records(record_set="corpus-metadata-raw")
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# `records` can now be iterated through to access the individual elements.
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```
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## Developing
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### Running individual EC systems
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For each emergent language entry, we provide wrapper code (in
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`systems/*/code/`) to create a reproducible environment and run the emergent
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language-generating code. Environments are specified precisely in the
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`environment.yml` file; if you wish to edit the dependencies manually, it may
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be easier to start with `environment.editable.yml` instead, if it exists.
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Next, either run or look at `run.sh` or `run.py` to see the commands necessary
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to produce to the corpora.
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### Git submodules
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This project uses git submodules to manage external dependencies. Submodules
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croissant.json
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"description": "ELCC is a collection of emergent language corpora with accompanying metadata and analyses.",
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"conformsTo": "http://mlcommons.org/croissant/1.0",
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"citeAs": "@misc{boldt2024elcc,\n title = \"{ELCC}: the Emergent Language Corpus Collection\",\n author = \"Brendon Boldt and David Mortensen\",\n year = 2024,\n url = \"https://huggingface.co/datasets/bboldt/elcc\",\n}",
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"datePublished": "2024-06-13 07:
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"keywords": [
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"emergent communication",
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"emergent language",
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},
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"extract": {
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"fileProperty": "fullpath"
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},
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"transform": {
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"replace": "a"
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}
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}
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},
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"description": "ELCC is a collection of emergent language corpora with accompanying metadata and analyses.",
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"conformsTo": "http://mlcommons.org/croissant/1.0",
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"citeAs": "@misc{boldt2024elcc,\n title = \"{ELCC}: the Emergent Language Corpus Collection\",\n author = \"Brendon Boldt and David Mortensen\",\n year = 2024,\n url = \"https://huggingface.co/datasets/bboldt/elcc\",\n}",
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"datePublished": "2024-06-13 07:25:44.022899+00:00",
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"keywords": [
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"emergent communication",
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"emergent language",
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},
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"extract": {
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"fileProperty": "fullpath"
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}
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}
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},
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util/croissant.py
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# records = dataset.records(record_set="babyai-sr/GoToObj")
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# records = dataset.records(record_set="system-metadata")
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# records = dataset.records(record_set="system-metadata-raw")
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records = dataset.records(record_set="corpus-metadata")
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for i, x in enumerate(records):
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print(i, x)
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if __name__ == "__main__":
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save_metadata()
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test()
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# records = dataset.records(record_set="babyai-sr/GoToObj")
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# records = dataset.records(record_set="system-metadata")
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# records = dataset.records(record_set="system-metadata-raw")
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# records = dataset.records(record_set="corpus-metadata")
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records = dataset.records(record_set="corpus-metadata-raw")
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for i, x in enumerate(records):
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print(i, x)
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if __name__ == "__main__":
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save_metadata()
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# test()
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util/environment.export.yml
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name: elcc
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channels:
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- conda-forge
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dependencies:
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- _libgcc_mutex=0.1=conda_forge
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- _openmp_mutex=4.5=2_gnu
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- annotated-types=0.7.0=pyhd8ed1ab_0
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- black=24.4.2=py312h7900ff3_0
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- bzip2=1.0.8=hd590300_5
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- c-ares=1.28.1=hd590300_0
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- ca-certificates=2024.6.2=hbcca054_0
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- click=8.1.7=unix_pyh707e725_0
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- colorama=0.4.6=pyhd8ed1ab_0
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- git=2.45.1=pl5321hef9f9f3_0
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- git-lfs=3.5.1=ha770c72_0
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- jinja2=3.1.4=pyhd8ed1ab_0
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- joblib=1.4.2=pyhd8ed1ab_0
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- keyutils=1.6.1=h166bdaf_0
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- krb5=1.21.2=h659d440_0
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- ld_impl_linux-64=2.40=hf3520f5_2
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- libblas=3.9.0=22_linux64_openblas
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- libcblas=3.9.0=22_linux64_openblas
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- libcurl=8.8.0=hca28451_0
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- libedit=3.1.20191231=he28a2e2_2
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- libev=4.33=hd590300_2
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- libexpat=2.6.2=h59595ed_0
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- libffi=3.4.2=h7f98852_5
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- libgcc-ng=13.2.0=h77fa898_7
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- libgfortran-ng=13.2.0=h69a702a_7
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- libgfortran5=13.2.0=hca663fb_7
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- libgomp=13.2.0=h77fa898_7
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- libiconv=1.17=hd590300_2
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- liblapack=3.9.0=22_linux64_openblas
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- libnghttp2=1.58.0=h47da74e_1
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- libnsl=2.0.1=hd590300_0
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- libopenblas=0.3.27=pthreads_h413a1c8_0
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- libsqlite=3.45.3=h2797004_0
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- libssh2=1.11.0=h0841786_0
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- libstdcxx-ng=13.2.0=hc0a3c3a_7
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- libuuid=2.38.1=h0b41bf4_0
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- libxcrypt=4.4.36=hd590300_1
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- libzlib=1.3.1=h4ab18f5_1
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- markupsafe=2.1.5=py312h98912ed_0
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- mypy=1.10.0=py312h9a8786e_0
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- mypy_extensions=1.0.0=pyha770c72_0
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- ncurses=6.5=h59595ed_0
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- numpy=1.26.4=py312heda63a1_0
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- openssl=3.3.1=h4ab18f5_0
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- packaging=24.0=pyhd8ed1ab_0
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- pandas=2.2.2=py312h1d6d2e6_1
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- pandas-stubs=2.2.2.240603=pyhd8ed1ab_0
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- pathspec=0.12.1=pyhd8ed1ab_0
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- pcre2=10.43=hcad00b1_0
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- perl=5.32.1=7_hd590300_perl5
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- pip=24.0=pyhd8ed1ab_0
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- platformdirs=4.2.2=pyhd8ed1ab_0
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- psutil=5.9.8=py312h98912ed_0
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- pydantic=2.7.3=pyhd8ed1ab_0
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- pydantic-core=2.18.4=py312h4413252_0
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- python=3.12.3=hab00c5b_0_cpython
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- python-dateutil=2.9.0=pyhd8ed1ab_0
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- python-tzdata=2024.1=pyhd8ed1ab_0
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- python_abi=3.12=4_cp312
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- pytz=2024.1=pyhd8ed1ab_0
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- pyyaml=6.0.1=py312h98912ed_1
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- readline=8.2=h8228510_1
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- setuptools=70.0.0=pyhd8ed1ab_0
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- six=1.16.0=pyh6c4a22f_0
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- tk=8.6.13=noxft_h4845f30_101
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- tqdm=4.66.4=pyhd8ed1ab_0
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- types-pytz=2024.1.0.20240417=pyhd8ed1ab_0
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- typing-extensions=4.12.1=hd8ed1ab_0
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- typing_extensions=4.12.1=pyha770c72_0
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- tzdata=2024a=h0c530f3_0
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- wheel=0.43.0=pyhd8ed1ab_1
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- xz=5.2.6=h166bdaf_0
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- yaml=0.2.5=h7f98852_2
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- zstd=1.5.6=ha6fb4c9_0
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