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Shown values in categorical filter now sorted
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@LudwigStumpp
LudwigStumpp committed May 10, 2023
1 parent f3fd684 commit 9770a07
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6 changes: 3 additions & 3 deletions README.md
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Expand Up @@ -24,8 +24,8 @@ https://llm-leaderboard.streamlit.app/
| [dolly-v2-12b](https://huggingface.co/databricks/dolly-v2-12b) | Databricks | yes | [944](https://lmsys.org/blog/2023-05-03-arena/) | | | | | | | | | | | | |
| [eleuther-pythia-7b](https://huggingface.co/EleutherAI/pythia-6.9b) | EleutherAI | yes | | | [0.667](https://www.mosaicml.com/blog/mpt-7b) | | | [0.667](https://www.mosaicml.com/blog/mpt-7b) | | [0.265](https://www.mosaicml.com/blog/mpt-7b) | | [0.198](https://www.mosaicml.com/blog/mpt-7b) | | | |
| [eleuther-pythia-12b](https://huggingface.co/EleutherAI/pythia-12b) | EleutherAI | yes | | | [0.704](https://www.mosaicml.com/blog/mpt-7b) | | | [0.704](https://www.mosaicml.com/blog/mpt-7b) | | [0.253](https://www.mosaicml.com/blog/mpt-7b) | | [0.233](https://www.mosaicml.com/blog/mpt-7b) | | | |
| [fastchat-t5-3b](https://huggingface.co/lmsys/fastchat-t5-3b-v1.0) | lmsys.org | yes | [951](https://lmsys.org/blog/2023-05-03-arena/) | | | | | | | | | | | | |
| [gal-120b](https://arxiv.org/abs/2211.09085v1) | lmsys.org | no | | | | | | | | [0.526](https://paperswithcode.com/paper/galactica-a-large-language-model-for-science-1) | | | | | |
| [fastchat-t5-3b](https://huggingface.co/lmsys/fastchat-t5-3b-v1.0) | Lmsys.org | yes | [951](https://lmsys.org/blog/2023-05-03-arena/) | | | | | | | | | | | | |
| [gal-120b](https://arxiv.org/abs/2211.09085v1) | Lmsys.org | no | | | | | | | | [0.526](https://paperswithcode.com/paper/galactica-a-large-language-model-for-science-1) | | | | | |
| [gpt-3-7b / curie](https://arxiv.org/abs/2005.14165) | OpenAI | yes | | [0.682](https://crfm.stanford.edu/helm/latest/?group=core_scenarios) | | | | | | | [0.243](https://crfm.stanford.edu/helm/latest/?group=core_scenarios) | | | | |
| [gpt-3-175b / davinci](https://arxiv.org/abs/2005.14165) | OpenAI | yes | | [0.793](https://arxiv.org/abs/2005.14165) | [0.789](https://arxiv.org/abs/2005.14165) | | | | | | [0.439](https://arxiv.org/abs/2005.14165) | | | | |
| [gpt-3.5-175b / text-davinci-003](https://arxiv.org/abs/2303.08774v3) | OpenAI | yes | | [0.822](https://crfm.stanford.edu/helm/latest/?group=core_scenarios) | | | [0.481](https://arxiv.org/abs/2303.08774v3) | [0.762](https://arxiv.org/abs/2303.08774v3) | | | [0.569](https://crfm.stanford.edu/helm/latest/?group=core_scenarios) | | | | |
Expand Down Expand Up @@ -57,7 +57,7 @@ https://llm-leaderboard.streamlit.app/
| [starcoder-base-16b](https://huggingface.co/bigcode/starcoderbase) | BigCode | yes | | | | | [0.304](https://drive.google.com/file/d/1cN-b9GnWtHzQRoE7M7gAEyivY0kl4BYs/view) | | | | | | | | |
| [starcoder-16b](https://huggingface.co/bigcode/starcoder) | BigCode | yes | | | | | [0.336](https://drive.google.com/file/d/1cN-b9GnWtHzQRoE7M7gAEyivY0kl4BYs/view) | | | | | | | | |
| [starcoder-16b (prompted)](https://huggingface.co/bigcode/starcoder) | BigCode | yes | | | | | [0.408](https://drive.google.com/file/d/1cN-b9GnWtHzQRoE7M7gAEyivY0kl4BYs/view) | | | | | | | | |
| [vicuna-13b](https://huggingface.co/lmsys/vicuna-13b-delta-v0) | lmsys.org | no | [1169](https://lmsys.org/blog/2023-05-03-arena/) | | | | | | | | | | | | |
| [vicuna-13b](https://huggingface.co/lmsys/vicuna-13b-delta-v0) | Lmsys.org | no | [1169](https://lmsys.org/blog/2023-05-03-arena/) | | | | | | | | | | | | |

## Benchmarks

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8 changes: 5 additions & 3 deletions streamlit_app.py
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Original file line number Diff line number Diff line change
Expand Up @@ -110,11 +110,13 @@ def filter_dataframe_by_row_and_columns(df: pd.DataFrame, ignore_columns: list[s
modification_container = st.container()

with modification_container:
to_filter_index = st.multiselect("Filter by model:", df.index)
to_filter_index = st.multiselect("Filter by model:", sorted(df.index))
if to_filter_index:
df = pd.DataFrame(df.loc[to_filter_index])

to_filter_columns = st.multiselect("Filter by benchmark:", [c for c in df.columns if c not in ignore_columns])
to_filter_columns = st.multiselect(
"Filter by benchmark:", sorted([c for c in df.columns if c not in ignore_columns])
)
if to_filter_columns:
df = pd.DataFrame(df[ignore_columns + to_filter_columns])

Expand Down Expand Up @@ -177,7 +179,7 @@ def filter_dataframe_by_column_values(df: pd.DataFrame) -> pd.DataFrame:
else:
selected_values = right.multiselect(
f"Values for {column}:",
df[column].unique(),
sorted(df[column].unique()),
)

if selected_values:
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