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open-japanese-llm-leaderboard

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t0-0 commited on 29 days ago

Commit

bbe855d

•

2 Parent(s): 5c2a910 677be89

Merge remote-tracking branch 'origin/main'

Browse files

Files changed (8) hide show

README.md +1 -1
app.py +30 -18
pyproject.toml +1 -4
requirements.txt +4 -1
src/submission/check_validity.py +6 -1
src/submission/submit.py +9 -0
style.css +1 -1
uv.lock +198 -167

README.md CHANGED Viewed

@@ -7,7 +7,7 @@ sdk: gradio
 app_file: app.py
 pinned: true
 license: apache-2.0
-sdk_version: 5.3.0
 fullWidth: true
 tags:
   - 日本語

 app_file: app.py
 pinned: true
 license: apache-2.0
+sdk_version: 5.4.0
 fullWidth: true
 tags:
   - 日本語

app.py CHANGED Viewed

@@ -319,35 +319,47 @@ def toggle_all_categories(action: str) -> list[gr.CheckboxGroup]:
 def plot_size_vs_score(df: pd.DataFrame, hidden_df: pd.DataFrame) -> go.Figure:
     df2 = hidden_df.iloc[df.index]
     df2 = df2[df2["#Params (B)"] > 0]
-    df2 = df2[["model_name_for_query", "#Params (B)", "AVG"]]
     df2["AVG"] = df2["AVG"].astype(float)
-    df2 = df2.rename(columns={"model_name_for_query": "Model"})
-    fig = px.scatter(df2, x="#Params (B)", y="AVG", hover_data=["Model"])
-    fig.update_traces(hovertemplate="<b>%{customdata[0]}</b><br>#Params: %{x:.2f}B<br>AVG: %{y:.4f}<extra></extra>")
     fig.update_layout(yaxis_range=[0, 1])
     return fig
 def plot_average_scores(df: pd.DataFrame, hidden_df: pd.DataFrame) -> go.Figure:
     df2 = hidden_df.iloc[df.index]
-    df2 = df2[["model_name_for_query"] + [column for column in df.columns if column.startswith("AVG ")]]
-    df2 = df2.rename(columns={"model_name_for_query": "Model"})
-    df2 = df2.rename(
-        columns={
-            column: column.replace("AVG (", "").replace(")", "") for column in df2.columns if column.startswith("AVG ")
-        }
-    )
-    df2 = df2.set_index("Model").astype(float)
     fig = go.Figure()
-    for i, (name, row) in enumerate(df2.iterrows()):
         visible = True if i < 3 else "legendonly"  # Display only the first 3 models
         fig.add_trace(
             go.Scatterpolar(
                 r=row.values,
                 theta=row.index,
                 fill="toself",
-                name=name,
                 hovertemplate="%{theta}: %{r}",
                 visible=visible,
             )
@@ -722,14 +734,14 @@ with gr.Blocks(css_paths="style.css", theme=gr.themes.Glass()) as demo:
     gr.HTML(TITLE)
     introduction_text = gr.Markdown(INTRODUCTION_TEXT_JA, elem_classes="markdown-text")
-    with gr.Tabs(elem_classes="tab-buttons") as tabs:
-        with gr.TabItem("🏅 LLM Benchmark", elem_id="llm-benchmark-tab-table", id=0):
             demo_leaderboard.render()
-        with gr.TabItem("📝 About", elem_id="llm-benchmark-tab-table", id=2):
             llm_benchmarks_text = gr.Markdown(LLM_BENCHMARKS_TEXT_JA, elem_classes="markdown-text")
-        with gr.TabItem("🚀 Submit here! ", elem_id="llm-benchmark-tab-table", id=3):
             demo_submission.render()
     with gr.Row():

 def plot_size_vs_score(df: pd.DataFrame, hidden_df: pd.DataFrame) -> go.Figure:
     df2 = hidden_df.iloc[df.index]
     df2 = df2[df2["#Params (B)"] > 0]
+    df2 = df2[["model_name_for_query", "#Params (B)", "AVG", "Few-shot"]]
     df2["AVG"] = df2["AVG"].astype(float)
+    df2 = df2.rename(columns={"model_name_for_query": "Model", "Few-shot": "n-shot"})
+    df2["model_name_without_org_name"] = df2["Model"].str.split("/").str[-1] + " (" + df2["n-shot"] + "-shot)"
+    fig = px.scatter(
+        df2,
+        x="#Params (B)",
+        y="AVG",
+        text="model_name_without_org_name",
+        hover_data=["Model", "n-shot"],
+    )
+    fig.update_traces(
+        hovertemplate="<b>%{customdata[0]}</b><br>#Params: %{x:.2f}B<br>n-shot: %{customdata[1]}<br>AVG: %{y:.4f}<extra></extra>",
+        textposition="top right",
+    )
     fig.update_layout(yaxis_range=[0, 1])
     return fig
+TASK_AVG_NAME_MAP = {
+    c.name: c.task_type.name for c in fields(AutoEvalColumn) if c.average and c.task_type != TaskType.AVG
+}
 def plot_average_scores(df: pd.DataFrame, hidden_df: pd.DataFrame) -> go.Figure:
     df2 = hidden_df.iloc[df.index]
+    df2 = df2[["model_name_for_query", "Few-shot"] + list(TASK_AVG_NAME_MAP.keys())]
+    df2 = df2.rename(columns={"model_name_for_query": "Model", "Few-shot": "n-shot"})
+    df2 = df2.rename(columns=TASK_AVG_NAME_MAP)
+    df2["n-shot"] = df2["n-shot"].astype(int)
+    df2 = df2.set_index(["Model", "n-shot"]).astype(float)
     fig = go.Figure()
+    for i, ((name, n_shot), row) in enumerate(df2.iterrows()):
         visible = True if i < 3 else "legendonly"  # Display only the first 3 models
         fig.add_trace(
             go.Scatterpolar(
                 r=row.values,
                 theta=row.index,
                 fill="toself",
+                name=f"{name} ({n_shot}-shot)",
                 hovertemplate="%{theta}: %{r}",
                 visible=visible,
             )
     gr.HTML(TITLE)
     introduction_text = gr.Markdown(INTRODUCTION_TEXT_JA, elem_classes="markdown-text")
+    with gr.Tabs() as tabs:
+        with gr.Tab("🏅 LLM Benchmark", elem_id="llm-benchmark-tab-table"):
             demo_leaderboard.render()
+        with gr.Tab("📝 About", elem_id="llm-benchmark-tab-about"):
             llm_benchmarks_text = gr.Markdown(LLM_BENCHMARKS_TEXT_JA, elem_classes="markdown-text")
+        with gr.Tab("🚀 Submit here! ", elem_id="llm-benchmark-tab-submit"):
             demo_submission.render()
     with gr.Row():

pyproject.toml CHANGED Viewed

@@ -7,7 +7,7 @@ requires-python = ">=3.10"
 dependencies = [
     "apscheduler>=3.10.4",
     "datasets>=3.0.1",
-    "gradio>=5.3.0",
     "hf-transfer>=0.1.8",
     "plotly>=5.24.1",
     "transformers>=4.45.2",
@@ -26,6 +26,3 @@ line_length = 119
 [tool.black]
 line-length = 119
-[tool.uv.sources]
-gradio = { url = "https://gradio-pypi-previews.s3.amazonaws.com/7a4b272f9c24d9ef30c24991091687936de63148/gradio-5.3.0-py3-none-any.whl" }

 dependencies = [
     "apscheduler>=3.10.4",
     "datasets>=3.0.1",
+    "gradio>=5.4.0",
     "hf-transfer>=0.1.8",
     "plotly>=5.24.1",
     "transformers>=4.45.2",
 [tool.black]
 line-length = 119

requirements.txt CHANGED Viewed

@@ -60,7 +60,7 @@ fsspec==2024.6.1
     #   datasets
     #   gradio-client
     #   huggingface-hub
-gradio @ https://gradio-pypi-previews.s3.amazonaws.com/7a4b272f9c24d9ef30c24991091687936de63148/gradio-5.3.0-py3-none-any.whl
     # via open-japanese-llm-leaderboard (pyproject.toml)
 gradio-client==1.4.2
     # via gradio
@@ -76,6 +76,7 @@ httpx==0.27.2
     # via
     #   gradio
     #   gradio-client
 huggingface-hub==0.25.2
     # via
     #   datasets
@@ -169,6 +170,8 @@ rich==13.9.2
     # via typer
 ruff==0.6.9
     # via gradio
 safetensors==0.4.5
     # via transformers
 semantic-version==2.10.0

     #   datasets
     #   gradio-client
     #   huggingface-hub
+gradio==5.4.0
     # via open-japanese-llm-leaderboard (pyproject.toml)
 gradio-client==1.4.2
     # via gradio
     # via
     #   gradio
     #   gradio-client
+    #   safehttpx
 huggingface-hub==0.25.2
     # via
     #   datasets
     # via typer
 ruff==0.6.9
     # via gradio
+safehttpx==0.1.1
+    # via gradio
 safetensors==0.4.5
     # via transformers
 semantic-version==2.10.0

src/submission/check_validity.py CHANGED Viewed

@@ -9,6 +9,8 @@ from huggingface_hub.hf_api import ModelInfo
 from transformers import AutoConfig
 from transformers.models.auto.tokenization_auto import AutoTokenizer
 def check_model_card(repo_id: str) -> tuple[bool, str]:
     """Checks if the model card and license exist and have been filled"""
@@ -106,7 +108,10 @@ def already_submitted_models(requested_models_dir: str) -> set[str]:
                     info = json.load(f)
                     if info["status"] == "FAILED":
                         continue
-                    file_names.append(f"{info['model']}_{info['precision']}_{info['add_special_tokens']}")
                     # Select organisation
                     if info["model"].count("/") == 0 or "submitted_time" not in info:

 from transformers import AutoConfig
 from transformers.models.auto.tokenization_auto import AutoTokenizer
+from src.display.utils import Version
 def check_model_card(repo_id: str) -> tuple[bool, str]:
     """Checks if the model card and license exist and have been filled"""
                     info = json.load(f)
                     if info["status"] == "FAILED":
                         continue
+                    # Version.v1_4_1.value.name を使用してバージョン情報を取得
+                    version = info.get("llm_jp_eval_version", Version.v1_4_1.value.name)
+                    file_names.append(f"{info['model']}_{info['precision']}_{info['add_special_tokens']}_{version}")
                     # Select organisation
                     if info["model"].count("/") == 0 or "submitted_time" not in info:

src/submission/submit.py CHANGED Viewed

@@ -3,6 +3,7 @@ import os
 from datetime import datetime, timezone
 from src.display.formatting import styled_error, styled_message, styled_warning
 from src.envs import API, EVAL_REQUESTS_PATH, QUEUE_REPO, TOKEN
 from src.submission.check_validity import already_submitted_models, check_model_card, get_model_size, is_model_on_hub
@@ -22,6 +23,13 @@ def add_new_eval(
     if not REQUESTED_MODELS:
         REQUESTED_MODELS, USERS_TO_SUBMISSION_DATES = already_submitted_models(EVAL_REQUESTS_PATH)
     user_name = ""
     model_path = model
     if "/" in model:
@@ -76,6 +84,7 @@ def add_new_eval(
         "license": license,
         "private": False,
         "add_special_tokens": add_special_tokens,
     }
     # Check for duplicate submission

 from datetime import datetime, timezone
 from src.display.formatting import styled_error, styled_message, styled_warning
+from src.display.utils import Version
 from src.envs import API, EVAL_REQUESTS_PATH, QUEUE_REPO, TOKEN
 from src.submission.check_validity import already_submitted_models, check_model_card, get_model_size, is_model_on_hub
     if not REQUESTED_MODELS:
         REQUESTED_MODELS, USERS_TO_SUBMISSION_DATES = already_submitted_models(EVAL_REQUESTS_PATH)
+    current_version = Version.v1_4_1.value.name
+    # バージョン情報を含めた重複チェック
+    submission_id = f"{model}_{precision}_{add_special_tokens}_{current_version}"
+    if submission_id in REQUESTED_MODELS:
+        return styled_warning(f"This model has already been evaluated with llm-jp-eval version {current_version}")
     user_name = ""
     model_path = model
     if "/" in model:
         "license": license,
         "private": False,
         "add_special_tokens": add_special_tokens,
+        "llm_jp_eval_version": current_version,
     }
     # Check for duplicate submission

style.css CHANGED Viewed

@@ -44,7 +44,7 @@ table th:first-child {
   white-space: nowrap;
 }
-.tab-buttons button {
   font-size: 20px;
 }

   white-space: nowrap;
 }
+#llm-benchmark-tab-table-button, #llm-benchmark-tab-about-button, #llm-benchmark-tab-submit-button {
   font-size: 20px;
 }

uv.lock CHANGED Viewed

@@ -125,7 +125,7 @@ wheels = [
 [[package]]
 name = "anyio"
-version = "4.6.0"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "exceptiongroup", marker = "python_full_version < '3.11'" },
@@ -133,9 +133,9 @@ dependencies = [
     { name = "sniffio" },
     { name = "typing-extensions", marker = "python_full_version < '3.11'" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/78/49/f3f17ec11c4a91fe79275c426658e509b07547f874b14c1a526d86a83fc8/anyio-4.6.0.tar.gz", hash = "sha256:137b4559cbb034c477165047febb6ff83f390fc3b20bf181c1fc0a728cb8beeb", size = 170983 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/9e/ef/7a4f225581a0d7886ea28359179cb861d7fbcdefad29663fc1167b86f69f/anyio-4.6.0-py3-none-any.whl", hash = "sha256:c7d2e9d63e31599eeb636c8c5c03a7e108d73b345f064f1c19fdc87b79036a9a", size = 89631 },
 ]
 [[package]]
@@ -170,6 +170,46 @@ wheels = [
     { url = "https://files.pythonhosted.org/packages/6a/21/5b6702a7f963e95456c0de2d495f67bf5fd62840ac655dc451586d23d39a/attrs-24.2.0-py3-none-any.whl", hash = "sha256:81921eb96de3191c8258c199618104dd27ac608d9366f5e35d011eae1867ede2", size = 63001 },
 ]
 [[package]]
 name = "certifi"
 version = "2024.8.30"
@@ -314,16 +354,16 @@ wheels = [
 [[package]]
 name = "fastapi"
-version = "0.115.2"
 source = { registry = "https://pypi.org/simple" }
 dependencies = [
     { name = "pydantic" },
     { name = "starlette" },
     { name = "typing-extensions" },
 ]
-sdist = { url = "https://files.pythonhosted.org/packages/22/fa/19e3c7c9b31ac291987c82e959f36f88840bea183fa3dc3bb654669f19c1/fastapi-0.115.2.tar.gz", hash = "sha256:3995739e0b09fa12f984bce8fa9ae197b35d433750d3d312422d846e283697ee", size = 299968 }
 wheels = [
-    { url = "https://files.pythonhosted.org/packages/c9/14/bbe7776356ef01f830f8085ca3ac2aea59c73727b6ffaa757abeb7d2900b/fastapi-0.115.2-py3-none-any.whl", hash = "sha256:61704c71286579cc5a598763905928f24ee98bfcc07aabe84cfefb98812bbc86", size = 94650 },
 ]
 [[package]]
@@ -414,11 +454,12 @@ http = [
 [[package]]
 name = "gradio"
-version = "5.3.0"
-source = { url = "https://gradio-pypi-previews.s3.amazonaws.com/7a4b272f9c24d9ef30c24991091687936de63148/gradio-5.3.0-py3-none-any.whl" }
 dependencies = [
     { name = "aiofiles" },
     { name = "anyio" },
     { name = "fastapi" },
     { name = "ffmpy" },
     { name = "gradio-client" },
@@ -436,6 +477,7 @@ dependencies = [
     { name = "python-multipart" },
     { name = "pyyaml" },
     { name = "ruff", marker = "sys_platform != 'emscripten'" },
     { name = "semantic-version" },
     { name = "starlette", marker = "sys_platform != 'emscripten'" },
     { name = "tomlkit" },
@@ -445,39 +487,7 @@ dependencies = [
     { name = "uvicorn", marker = "sys_platform != 'emscripten'" },
 ]
 wheels = [
-    { url = "https://gradio-pypi-previews.s3.amazonaws.com/7a4b272f9c24d9ef30c24991091687936de63148/gradio-5.3.0-py3-none-any.whl", hash = "sha256:2d8ec2edf0a47bde68f10c8e6c8a546f9464a4d5eec29e697b3c85b709ea0e96" },
-]
-[package.metadata]
-requires-dist = [
-    { name = "aiofiles", specifier = ">=22.0,<24.0" },
-    { name = "anyio", specifier = ">=3.0,<5.0" },
-    { name = "authlib", marker = "extra == 'oauth'" },
-    { name = "fastapi", specifier = ">=0.115.2,<1.0" },
-    { name = "ffmpy" },
-    { name = "gradio-client", specifier = "==1.4.2" },
-    { name = "httpx", specifier = ">=0.24.1" },
-    { name = "huggingface-hub", specifier = ">=0.25.1" },
-    { name = "itsdangerous", marker = "extra == 'oauth'" },
-    { name = "jinja2", specifier = "<4.0" },
-    { name = "markupsafe", specifier = "~=2.0" },
-    { name = "numpy", specifier = ">=1.0,<3.0" },
-    { name = "orjson", specifier = "~=3.0" },
-    { name = "packaging" },
-    { name = "pandas", specifier = ">=1.0,<3.0" },
-    { name = "pillow", specifier = ">=8.0,<11.0" },
-    { name = "pydantic", specifier = ">=2.0" },
-    { name = "pydub" },
-    { name = "python-multipart", specifier = ">=0.0.9,!=0.0.13" },
-    { name = "pyyaml", specifier = ">=5.0,<7.0" },
-    { name = "ruff", marker = "sys_platform != 'emscripten'", specifier = ">=0.2.2" },
-    { name = "semantic-version", specifier = "~=2.0" },
-    { name = "starlette", marker = "sys_platform != 'emscripten'", specifier = ">=0.40.0,<1.0" },
-    { name = "tomlkit", specifier = "==0.12.0" },
-    { name = "typer", marker = "sys_platform != 'emscripten'", specifier = ">=0.12,<1.0" },
-    { name = "typing-extensions", specifier = "~=4.0" },
-    { name = "urllib3", marker = "sys_platform == 'emscripten'", specifier = "~=2.0" },
-    { name = "uvicorn", marker = "sys_platform != 'emscripten'", specifier = ">=0.14.0" },
 ]
 [[package]]
@@ -837,7 +847,7 @@ dependencies = [
 requires-dist = [
     { name = "apscheduler", specifier = ">=3.10.4" },
     { name = "datasets", specifier = ">=3.0.1" },
-    { name = "gradio", url = "https://gradio-pypi-previews.s3.amazonaws.com/7a4b272f9c24d9ef30c24991091687936de63148/gradio-5.3.0-py3-none-any.whl" },
     { name = "hf-transfer", specifier = ">=0.1.8" },
     { name = "plotly", specifier = ">=5.24.1" },
     { name = "transformers", specifier = ">=4.45.2" },
@@ -845,46 +855,47 @@ requires-dist = [
 [[package]]
 name = "orjson"
-version = "3.10.7"
-source = { registry = "https://pypi.org/simple" }
-sdist = { url = "https://files.pythonhosted.org/packages/9e/03/821c8197d0515e46ea19439f5c5d5fd9a9889f76800613cfac947b5d7845/orjson-3.10.7.tar.gz", hash = "sha256:75ef0640403f945f3a1f9f6400686560dbfb0fb5b16589ad62cd477043c4eee3", size = 5056450 }
-wheels = [
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