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interactive model card streamlit app
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- LICENSE +21 -0
- Pipfile +34 -0
- Pipfile.lock +0 -0
- README.md +6 -12
- assets/data/protected_terms.json +67 -0
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LICENSE
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MIT License
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Copyright (c) 2021 amcrisan
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Permission is hereby granted, free of charge, to any person obtaining a copy
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of this software and associated documentation files (the "Software"), to deal
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in the Software without restriction, including without limitation the rights
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to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
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copies of the Software, and to permit persons to whom the Software is
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furnished to do so, subject to the following conditions:
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The above copyright notice and this permission notice shall be included in all
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copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
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IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
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FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
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AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
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LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
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OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
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SOFTWARE.
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Pipfile
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[[source]]
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url = "https://pypi.org/simple"
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verify_ssl = true
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name = "pypi"
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[packages]
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streamlit = "*"
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pandas = "*"
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numpy = "*"
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robustnessgym = "*"
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altair = "*"
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sklearn = "*"
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streamlit-vega-lite = "*"
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plotly = "*"
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gensim = "*"
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nltk = "*"
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[dev-packages]
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black = "==19.3b0"
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pylint = "*"
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watchdog = "*"
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jupyterlab = "*"
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jupyter = "*"
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[requires]
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python_version = "3.8"
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[scripts]
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format = "black ."
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format_check = "black --check ."
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lint = "pylint app.py"
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app= "streamlit run app.py"
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clear_cache = "streamlit cache clear"
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notebook = "jupyter notebook"
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README.md
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title: Interactive Model Cards
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emoji: 🔥
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colorFrom: gray
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colorTo: pink
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sdk: streamlit
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sdk_version: 1.2.0
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app_file: app.py
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pinned: false
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license: apache-2.0
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---
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# Interactive Model Cards
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This is an experimental project that examines whether interactivity can augment people's understanding of machine learning models. We build upon the model card work initially introduced by [Mitchell et al. (2018)](https://arxiv.org/abs/1810.03993) and strategically add (and evaluated) interactivity through a human centered design process.
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This is a currently a work in progress. The most current version of our interactive model card can be accessed at :
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[removed for review]
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assets/data/protected_terms.json
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{
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"protected-gender": [
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"aab",
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"female",
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"male",
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"cis",
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"many-genders",
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"no-gender",
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"non-binary",
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"trans-woman",
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"trans-man",
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"trans-gender"
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],
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"protected-age": [
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"aged",
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"young",
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"old",
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"mature",
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"immature",
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"child",
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"juvenile"
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],
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"protected-religions": [
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"asexual",
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"homosexual",
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"heterosexual",
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"bisexual",
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"pansexual"
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],
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"protected-race": [
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"black",
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"indian",
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"indigenous",
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"asian",
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"hispanic",
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"islander",
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"white",
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"european",
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"africian"
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],
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"protected-maternity": [
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"maternity",
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"pregnant",
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"parental",
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"mother",
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"motherhood"
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],
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"protected-veteran": [
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"veteran"
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],
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"protected-disability": [
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"disability",
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"handicap",
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"abled",
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"disabled",
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"blind",
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"deaf",
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"mobility"
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],
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"protected-sexual-orientation": [
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"asexual",
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"homosexual",
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"heterosexual",
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"bisexual",
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"pansexual"
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]
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}
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assets/data/rg/sst_db.devbench/slices/11095984086453820951051189529600734957634799403036487332827577537350/columns/index/meta.yaml
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dtype: !!python/name:meerkat.columns.list_column.ListColumn ''
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len: 3
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write_together: true
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dtype: !!python/name:meerkat.columns.numpy_column.NumpyArrayColumn ''
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len: 3
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assets/data/rg/sst_db.devbench/slices/11095984086453820951051189529600734957634799403036487332827577537350/columns/logits/data.npy
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dtype: !!python/name:meerkat.columns.tensor_column.TensorColumn ''
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len: 3
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dtype: !!python/name:meerkat.columns.tensor_column.TensorColumn ''
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len: 3
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assets/data/rg/sst_db.devbench/slices/11095984086453820951051189529600734957634799403036487332827577537350/columns/pred/state.dill
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dtype: !!python/name:meerkat.columns.tensor_column.TensorColumn ''
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len: 3
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assets/data/rg/sst_db.devbench/slices/11095984086453820951051189529600734957634799403036487332827577537350/columns/sentence/meta.yaml
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dtype: !!python/name:meerkat.columns.list_column.ListColumn ''
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len: 3
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write_together: true
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dtype: !!python/name:meerkat.columns.list_column.ListColumn ''
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assets/data/rg/sst_db.devbench/slices/11095984086453820951051189529600734957634799403036487332827577537350/columns/tree/meta.yaml
ADDED
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assets/data/rg/sst_db.devbench/slices/11095984086453820951051189529600734957634799403036487332827577537350/meta.yaml
ADDED
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column_dtypes:
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7 |
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dtype: !!python/name:robustnessgym.core.slice.SliceDataPanel ''
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assets/data/rg/sst_db.devbench/slices/11095984086453820951051189529600734957634799403036487332827577537350/state.dill
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Binary file (2.16 kB). View file
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assets/data/rg/sst_db.devbench/slices/16013947967738825897919394505531801267644881523756461674465994499881/columns/index/meta.yaml
ADDED
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+
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Binary file (68.5 kB). View file
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assets/data/rg/sst_db.devbench/slices/16013947967738825897919394505531801267644881523756461674465994499881/columns/label/meta.yaml
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Binary file (68.5 kB). View file
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assets/data/rg/sst_db.devbench/slices/16013947967738825897919394505531801267644881523756461674465994499881/columns/logits/meta.yaml
ADDED
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assets/data/rg/sst_db.devbench/slices/16013947967738825897919394505531801267644881523756461674465994499881/columns/logits/state.dill
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Binary file (304 Bytes). View file
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assets/data/rg/sst_db.devbench/slices/16013947967738825897919394505531801267644881523756461674465994499881/columns/pred/data.npy
ADDED
Binary file (68.5 kB). View file
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assets/data/rg/sst_db.devbench/slices/16013947967738825897919394505531801267644881523756461674465994499881/columns/pred/meta.yaml
ADDED
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assets/data/rg/sst_db.devbench/slices/16013947967738825897919394505531801267644881523756461674465994499881/columns/pred/state.dill
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Binary file (304 Bytes). View file
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assets/data/rg/sst_db.devbench/slices/16013947967738825897919394505531801267644881523756461674465994499881/columns/probs/data.npy
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Binary file (68.5 kB). View file
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assets/data/rg/sst_db.devbench/slices/16013947967738825897919394505531801267644881523756461674465994499881/columns/probs/meta.yaml
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Binary file (304 Bytes). View file
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assets/data/rg/sst_db.devbench/slices/16013947967738825897919394505531801267644881523756461674465994499881/columns/sentence/meta.yaml
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Binary file (900 kB). View file
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assets/data/rg/sst_db.devbench/slices/16013947967738825897919394505531801267644881523756461674465994499881/columns/tokens/meta.yaml
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Binary file (900 kB). View file
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assets/data/rg/sst_db.devbench/slices/16013947967738825897919394505531801267644881523756461674465994499881/columns/tree/meta.yaml
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Binary file (960 kB). View file
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assets/data/rg/sst_db.devbench/slices/16013947967738825897919394505531801267644881523756461674465994499881/meta.yaml
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column_dtypes:
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