add

.gitignore

@@ -3,4 +3,5 @@
 *.ipynb
 *.pyc
 .claude
+.vscode
 .omc

app.py

@@ -35,6 +35,7 @@ LEADERBOARD_REPO = "SWE-Arena/leaderboard_data"
 VOTE_REPO = "SWE-Arena/vote_data"
 CONVERSATION_REPO = "SWE-Arena/conversation_data"
 LEADERBOARD_FILE = "chatbot_arena"
+MODEL_REPO = "SWE-Arena/model_data"
 
 # Timeout in seconds for model responses
 TIMEOUT = 90
@@ -46,28 +47,25 @@ LEADERBOARD_UPDATE_TIME_FRAME_DAYS = 365
 SHOW_HINT_STRING = True  # Set to False to hide the hint string altogether
 HINT_STRING = "Once signed in, your votes will be recorded securely."
 
-# Load model metadata
-model_metadata = pd.read_json("model_metadata.jsonl", lines=True)
-
-# Create a dictionary mapping model names to their context lengths
-model_context_window = model_metadata.set_index("model_name")[
-    "context_window"
-].to_dict()
-
-# Create a dictionary mapping model names to their model IDs
-model_name_to_id = model_metadata.set_index("model_name")[
-    "model_id"
-].to_dict()
-
-# Create a dictionary mapping model names to their organizations
-# model_name format is "{Organization}: {Model}", so we split on ": "
-model_organization = {
-    model_name: model_name.split(": ")[0]
-    for model_name in model_metadata["model_name"]
-}
-
-# Get the list of available models
-available_models = model_metadata["model_name"].tolist()
+# Load model metadata from Hugging Face
+model_context_window = {}
+model_name_to_id = {}
+model_organization = {}
+available_models = []
+
+_api = HfApi()
+for _file in _api.list_repo_files(repo_id=MODEL_REPO, repo_type="dataset"):
+    if not _file.endswith(".json"):
+        continue
+    _local_path = hf_hub_download(repo_id=MODEL_REPO, filename=_file, repo_type="dataset")
+    with open(_local_path, "r") as f:
+        _record = json.load(f)
+    # model_name is derived from the filename (without .json extension)
+    _model_name = _file.rsplit("/", 1)[-1].replace(".json", "")
+    available_models.append(_model_name)
+    model_context_window[_model_name] = _record["context_window"]
+    model_name_to_id[_model_name] = _record["model_id"]
+    model_organization[_model_name] = _model_name.split(": ")[0]
 
 
 # ---------------------------------------------------------------------------
@@ -996,12 +994,13 @@ def is_file_within_time_frame(file_path, days):
         return False
 
 
-def load_content_from_hf(repo_name):
+def load_content_from_hf(repo_name, file_name):
     """
     Read feedback content from a Hugging Face repository within the last LEADERBOARD_UPDATE_TIME_FRAME_DAYS days.
 
     Args:
         repo_name (str): Hugging Face repository name.
+        file_name (str): Only load files under this prefix directory.
 
     Returns:
         list: Aggregated feedback data read from the repository.
@@ -1009,8 +1008,10 @@ def load_content_from_hf(repo_name):
     data = []
     try:
         api = HfApi()
-        # List all files in the repository
+        # List all files in the repository, only under the file_name
         for file in api.list_repo_files(repo_id=repo_name, repo_type="dataset"):
+            if not file.startswith(f"{file_name}/"):
+                continue
             # Filter files by last LEADERBOARD_UPDATE_TIME_FRAME_DAYS days
             if not is_file_within_time_frame(file, LEADERBOARD_UPDATE_TIME_FRAME_DAYS):
                 continue
@@ -1058,7 +1059,7 @@ def get_leaderboard_data(vote_entry=None, use_cache=True):
             print(f"No cached leaderboard found, computing from votes...")
 
     # Load feedback data from the Hugging Face repository
-    data = load_content_from_hf(VOTE_REPO)
+    data = load_content_from_hf(VOTE_REPO, LEADERBOARD_FILE)
     vote_df = pd.DataFrame(data)
 
     # Concatenate the new feedback with the existing leaderboard data
@@ -1082,7 +1083,7 @@ def get_leaderboard_data(vote_entry=None, use_cache=True):
         )
 
     # Load conversation data from the Hugging Face repository
-    conversation_data = load_content_from_hf(CONVERSATION_REPO)
+    conversation_data = load_content_from_hf(CONVERSATION_REPO, LEADERBOARD_FILE)
     conversation_df = pd.DataFrame(conversation_data)
 
     # Merge vote data with conversation data
@@ -1454,7 +1455,7 @@ with gr.Blocks(title="SWE-Chatbot-Arena", theme=gr.themes.Soft()) as app:
         # NEW: Add a textbox for the repository URL above the user prompt
         repo_url = gr.Textbox(
             show_label=False,
-            placeholder="Optional: Enter the URL of a repository (GitHub, GitLab, Hugging Face), issue, commit, or pull request.",
+            placeholder="Optional: Enter any GitHub, GitLab, or Hugging Face URL.",
             lines=1,
             interactive=False,
         )
@@ -2061,9 +2062,7 @@ with gr.Blocks(title="SWE-Chatbot-Arena", theme=gr.themes.Soft()) as app:
             file_name = f"{LEADERBOARD_FILE}/{datetime.now().strftime('%Y%m%d_%H%M%S')}"
 
             # Save feedback back to the Hugging Face dataset
-            save_content_to_hf(
-                vote_entry, VOTE_REPO, file_name, token
-            )
+            save_content_to_hf(vote_entry, VOTE_REPO, file_name, token)
 
             conversation_state["right_chat"][0]["content"] = conversation_state[
                 "right_chat"
@@ -2073,12 +2072,7 @@ with gr.Blocks(title="SWE-Chatbot-Arena", theme=gr.themes.Soft()) as app:
             ][0]["content"].split("\n\nInquiry: ")[-1]
 
             # Save conversations back to the Hugging Face dataset
-            save_content_to_hf(
-                conversation_state,
-                CONVERSATION_REPO,
-                file_name,
-                token,
-            )
+            save_content_to_hf(conversation_state, CONVERSATION_REPO, file_name, token)
 
             # Clear state
             models_state.clear()

model_metadata.jsonl

@@ -1,481 +0,0 @@
-{"model_name": "Z.AI: GLM 4.7 Flash", "model_id": "z-ai/glm-4.7-flash", "context_window": 200000}
-{"model_name": "OpenAI: GPT-5.2-Codex", "model_id": "openai/gpt-5.2-codex", "context_window": 400000}
-{"model_name": "AllenAI: Olmo 3.1 32B Instruct", "model_id": "allenai/olmo-3.1-32b-instruct", "context_window": 65536}
-{"model_name": "ByteDance Seed: Seed 1.6 Flash", "model_id": "bytedance-seed/seed-1.6-flash", "context_window": 262144}
-{"model_name": "ByteDance Seed: Seed 1.6", "model_id": "bytedance-seed/seed-1.6", "context_window": 262144}
-{"model_name": "MiniMax: MiniMax M2.1", "model_id": "minimax/minimax-m2.1", "context_window": 196608}
-{"model_name": "Z.AI: GLM 4.7", "model_id": "z-ai/glm-4.7", "context_window": 202752}
-{"model_name": "Google: Gemini 3 Flash Preview", "model_id": "google/gemini-3-flash-preview", "context_window": 1048576}
-{"model_name": "Mistral: Mistral Small Creative", "model_id": "mistralai/mistral-small-creative", "context_window": 32768}
-{"model_name": "AllenAI: Olmo 3.1 32B Think", "model_id": "allenai/olmo-3.1-32b-think", "context_window": 65536}
-{"model_name": "Xiaomi: MiMo-V2-Flash", "model_id": "xiaomi/mimo-v2-flash", "context_window": 262144}
-{"model_name": "NVIDIA: Nemotron 3 Nano 30B A3B", "model_id": "nvidia/nemotron-3-nano-30b-a3b", "context_window": 262144}
-{"model_name": "OpenAI: GPT-5.2 Chat", "model_id": "openai/gpt-5.2-chat", "context_window": 128000}
-{"model_name": "OpenAI: GPT-5.2 Pro", "model_id": "openai/gpt-5.2-pro", "context_window": 400000}
-{"model_name": "OpenAI: GPT-5.2", "model_id": "openai/gpt-5.2", "context_window": 400000}
-{"model_name": "Relace: Relace Search", "model_id": "relace/relace-search", "context_window": 256000}
-{"model_name": "Z.AI: GLM 4.6V", "model_id": "z-ai/glm-4.6v", "context_window": 131072}
-{"model_name": "Nex AGI: DeepSeek V3.1 Nex N1", "model_id": "nex-agi/deepseek-v3.1-nex-n1", "context_window": 131072}
-{"model_name": "EssentialAI: Rnj 1 Instruct", "model_id": "essentialai/rnj-1-instruct", "context_window": 32768}
-{"model_name": "OpenAI: GPT-5.1-Codex-Max", "model_id": "openai/gpt-5.1-codex-max", "context_window": 400000}
-{"model_name": "Amazon: Nova 2 Lite", "model_id": "amazon/nova-2-lite-v1", "context_window": 1000000}
-{"model_name": "Mistral: Ministral 3 14B 2512", "model_id": "mistralai/ministral-14b-2512", "context_window": 262144}
-{"model_name": "Mistral: Ministral 3 8B 2512", "model_id": "mistralai/ministral-8b-2512", "context_window": 262144}
-{"model_name": "Mistral: Ministral 3 3B 2512", "model_id": "mistralai/ministral-3b-2512", "context_window": 131072}
-{"model_name": "Mistral: Mistral Large 3 2512", "model_id": "mistralai/mistral-large-2512", "context_window": 262144}
-{"model_name": "Arcee AI: Trinity Mini", "model_id": "arcee-ai/trinity-mini", "context_window": 131072}
-{"model_name": "DeepSeek: DeepSeek V3.2 Speciale", "model_id": "deepseek/deepseek-v3.2-speciale", "context_window": 163840}
-{"model_name": "DeepSeek: DeepSeek V3.2", "model_id": "deepseek/deepseek-v3.2", "context_window": 163840}
-{"model_name": "Prime Intellect: INTELLECT-3", "model_id": "prime-intellect/intellect-3", "context_window": 131072}
-{"model_name": "TNG: R1T Chimera", "model_id": "tngtech/tng-r1t-chimera", "context_window": 163840}
-{"model_name": "Anthropic: Claude Opus 4.5", "model_id": "anthropic/claude-opus-4.5", "context_window": 200000}
-{"model_name": "AllenAI: Olmo 3 32B Think", "model_id": "allenai/olmo-3-32b-think", "context_window": 65536}
-{"model_name": "AllenAI: Olmo 3 7B Instruct", "model_id": "allenai/olmo-3-7b-instruct", "context_window": 65536}
-{"model_name": "AllenAI: Olmo 3 7B Think", "model_id": "allenai/olmo-3-7b-think", "context_window": 65536}
-{"model_name": "xAI: Grok 4.1 Fast", "model_id": "x-ai/grok-4.1-fast", "context_window": 1048576}
-{"model_name": "Deep Cogito: Cogito v2.1 671B", "model_id": "deepcogito/cogito-v2.1-671b", "context_window": 128000}
-{"model_name": "OpenAI: GPT-5.1", "model_id": "openai/gpt-5.1", "context_window": 400000}
-{"model_name": "OpenAI: GPT-5.1 Chat", "model_id": "openai/gpt-5.1-chat", "context_window": 128000}
-{"model_name": "OpenAI: GPT-5.1-Codex", "model_id": "openai/gpt-5.1-codex", "context_window": 400000}
-{"model_name": "OpenAI: GPT-5.1-Codex-Mini", "model_id": "openai/gpt-5.1-codex-mini", "context_window": 400000}
-{"model_name": "Kwaipilot: KAT-Coder-Pro V1", "model_id": "kwaipilot/kat-coder-pro", "context_window": 256000}
-{"model_name": "MoonshotAI: Kimi K2 Thinking", "model_id": "moonshotai/kimi-k2-thinking", "context_window": 262144}
-{"model_name": "Amazon: Nova Premier 1.0", "model_id": "amazon/nova-premier-v1", "context_window": 1000000}
-{"model_name": "Perplexity: Sonar Pro Search", "model_id": "perplexity/sonar-pro-search", "context_window": 200000}
-{"model_name": "Mistral: Voxtral Small 24B 2507", "model_id": "mistralai/voxtral-small-24b-2507", "context_window": 32000}
-{"model_name": "OpenAI: gpt-oss-safeguard-20b", "model_id": "openai/gpt-oss-safeguard-20b", "context_window": 131072}
-{"model_name": "NVIDIA: Nemotron Nano 12B 2 VL", "model_id": "nvidia/nemotron-nano-12b-v2-vl", "context_window": 131072}
-{"model_name": "MiniMax: MiniMax M2", "model_id": "minimax/minimax-m2", "context_window": 196608}
-{"model_name": "Qwen: Qwen3 VL 32B Instruct", "model_id": "qwen/qwen3-vl-32b-instruct", "context_window": 262144}
-{"model_name": "LiquidAI/LFM2-8B-A1B", "model_id": "liquid/lfm2-8b-a1b", "context_window": 32768}
-{"model_name": "LiquidAI/LFM2-2.6B", "model_id": "liquid/lfm-2.2-6b", "context_window": 32768}
-{"model_name": "IBM: Granite 4.0 Micro", "model_id": "ibm-granite/granite-4.0-h-micro", "context_window": 131000}
-{"model_name": "Deep Cogito: Cogito V2 Preview Llama 405B", "model_id": "deepcogito/cogito-v2-preview-llama-405b", "context_window": 32768}
-{"model_name": "OpenAI: GPT-5 Image Mini", "model_id": "openai/gpt-5-image-mini", "context_window": 400000}
-{"model_name": "Anthropic: Claude Haiku 4.5", "model_id": "anthropic/claude-haiku-4.5", "context_window": 200000}
-{"model_name": "Qwen: Qwen3 VL 8B Thinking", "model_id": "qwen/qwen3-vl-8b-thinking", "context_window": 256000}
-{"model_name": "Qwen: Qwen3 VL 8B Instruct", "model_id": "qwen/qwen3-vl-8b-instruct", "context_window": 131072}
-{"model_name": "OpenAI: GPT-5 Image", "model_id": "openai/gpt-5-image", "context_window": 400000}
-{"model_name": "OpenAI: o3 Deep Research", "model_id": "openai/o3-deep-research", "context_window": 200000}
-{"model_name": "OpenAI: o4 Mini Deep Research", "model_id": "openai/o4-mini-deep-research", "context_window": 200000}
-{"model_name": "NVIDIA: Llama 3.3 Nemotron Super 49B V1.5", "model_id": "nvidia/llama-3.3-nemotron-super-49b-v1.5", "context_window": 131072}
-{"model_name": "Baidu: ERNIE 4.5 21B A3B Thinking", "model_id": "baidu/ernie-4.5-21b-a3b-thinking", "context_window": 131072}
-{"model_name": "Qwen: Qwen3 VL 30B A3B Thinking", "model_id": "qwen/qwen3-vl-30b-a3b-thinking", "context_window": 131072}
-{"model_name": "Qwen: Qwen3 VL 30B A3B Instruct", "model_id": "qwen/qwen3-vl-30b-a3b-instruct", "context_window": 262144}
-{"model_name": "OpenAI: GPT-5 Pro", "model_id": "openai/gpt-5-pro", "context_window": 400000}
-{"model_name": "Z.AI: GLM 4.6", "model_id": "z-ai/glm-4.6", "context_window": 202752}
-{"model_name": "Anthropic: Claude Sonnet 4.5", "model_id": "anthropic/claude-sonnet-4.5", "context_window": 1000000}
-{"model_name": "DeepSeek: DeepSeek V3.2 Exp", "model_id": "deepseek/deepseek-v3.2-exp", "context_window": 163840}
-{"model_name": "TheDrummer: Cydonia 24B V4.1", "model_id": "thedrummer/cydonia-24b-v4.1", "context_window": 131072}
-{"model_name": "Relace: Relace Apply 3", "model_id": "relace/relace-apply-3", "context_window": 256000}
-{"model_name": "Google: Gemini 2.5 Flash Preview 09-2025", "model_id": "google/gemini-2.5-flash-preview-09-2025", "context_window": 1048576}
-{"model_name": "Google: Gemini 2.5 Flash Lite Preview 09-2025", "model_id": "google/gemini-2.5-flash-lite-preview-09-2025", "context_window": 1048576}
-{"model_name": "Qwen: Qwen3 VL 235B A22B Thinking", "model_id": "qwen/qwen3-vl-235b-a22b-thinking", "context_window": 131072}
-{"model_name": "Qwen: Qwen3 VL 235B A22B Instruct", "model_id": "qwen/qwen3-vl-235b-a22b-instruct", "context_window": 262144}
-{"model_name": "Qwen: Qwen3 Max", "model_id": "qwen/qwen3-max", "context_window": 256000}
-{"model_name": "Qwen: Qwen3 Coder Plus", "model_id": "qwen/qwen3-coder-plus", "context_window": 128000}
-{"model_name": "OpenAI: GPT-5 Codex", "model_id": "openai/gpt-5-codex", "context_window": 400000}
-{"model_name": "DeepSeek: DeepSeek V3.1 Terminus", "model_id": "deepseek/deepseek-v3.1-terminus", "context_window": 163840}
-{"model_name": "xAI: Grok 4 Fast", "model_id": "x-ai/grok-4-fast", "context_window": 131072}
-{"model_name": "Qwen: Qwen3 Coder Flash", "model_id": "qwen/qwen3-coder-flash", "context_window": 128000}
-{"model_name": "OpenGVLab: InternVL3 78B", "model_id": "opengvlab/internvl3-78b", "context_window": 32768}
-{"model_name": "Qwen: Qwen3 Next 80B A3B Thinking", "model_id": "qwen/qwen3-next-80b-a3b-thinking", "context_window": 128000}
-{"model_name": "Qwen: Qwen3 Next 80B A3B Instruct", "model_id": "qwen/qwen3-next-80b-a3b-instruct", "context_window": 262144}
-{"model_name": "Meituan: LongCat Flash Chat", "model_id": "meituan/longcat-flash-chat", "context_window": 131072}
-{"model_name": "Qwen: Qwen Plus 0728", "model_id": "qwen/qwen-plus-2025-07-28", "context_window": 1000000}
-{"model_name": "Qwen: Qwen Plus 0728 (thinking)", "model_id": "qwen/qwen-plus-2025-07-28:thinking", "context_window": 1000000}
-{"model_name": "NVIDIA: Nemotron Nano 9B V2", "model_id": "nvidia/nemotron-nano-9b-v2", "context_window": 131072}
-{"model_name": "MoonshotAI: Kimi K2 0905", "model_id": "moonshotai/kimi-k2-0905", "context_window": 262144}
-{"model_name": "Deep Cogito: Cogito V2 Preview Llama 70B", "model_id": "deepcogito/cogito-v2-preview-llama-70b", "context_window": 32768}
-{"model_name": "Cogito V2 Preview Llama 109B", "model_id": "deepcogito/cogito-v2-preview-llama-109b-moe", "context_window": 32767}
-{"model_name": "StepFun: Step3", "model_id": "stepfun-ai/step3", "context_window": 65536}
-{"model_name": "Qwen: Qwen3 30B A3B Thinking 2507", "model_id": "qwen/qwen3-30b-a3b-thinking-2507", "context_window": 32768}
-{"model_name": "xAI: Grok Code Fast 1", "model_id": "x-ai/grok-code-fast-1", "context_window": 256000}
-{"model_name": "Nous: Hermes 4 70B", "model_id": "nousresearch/hermes-4-70b", "context_window": 131072}
-{"model_name": "Nous: Hermes 4 405B", "model_id": "nousresearch/hermes-4-405b", "context_window": 131072}
-{"model_name": "DeepSeek: DeepSeek V3.1", "model_id": "deepseek/deepseek-chat-v3.1", "context_window": 32768}
-{"model_name": "OpenAI: GPT-4o Audio", "model_id": "openai/gpt-4o-audio-preview", "context_window": 128000}
-{"model_name": "Mistral: Mistral Medium 3.1", "model_id": "mistralai/mistral-medium-3.1", "context_window": 131072}
-{"model_name": "Baidu: ERNIE 4.5 21B A3B", "model_id": "baidu/ernie-4.5-21b-a3b", "context_window": 120000}
-{"model_name": "Baidu: ERNIE 4.5 VL 28B A3B", "model_id": "baidu/ernie-4.5-vl-28b-a3b", "context_window": 30000}
-{"model_name": "Z.AI: GLM 4.5V", "model_id": "z-ai/glm-4.5v", "context_window": 65536}
-{"model_name": "AI21: Jamba Mini 1.7", "model_id": "ai21/jamba-mini-1.7", "context_window": 256000}
-{"model_name": "AI21: Jamba Large 1.7", "model_id": "ai21/jamba-large-1.7", "context_window": 256000}
-{"model_name": "OpenAI: GPT-5 Chat", "model_id": "openai/gpt-5-chat", "context_window": 128000}
-{"model_name": "OpenAI: GPT-5", "model_id": "openai/gpt-5", "context_window": 400000}
-{"model_name": "OpenAI: GPT-5 Mini", "model_id": "openai/gpt-5-mini", "context_window": 400000}
-{"model_name": "OpenAI: GPT-5 Nano", "model_id": "openai/gpt-5-nano", "context_window": 400000}
-{"model_name": "OpenAI: gpt-oss-120b", "model_id": "openai/gpt-oss-120b", "context_window": 131072}
-{"model_name": "OpenAI: gpt-oss-20b", "model_id": "openai/gpt-oss-20b", "context_window": 131072}
-{"model_name": "Anthropic: Claude Opus 4.1", "model_id": "anthropic/claude-opus-4.1", "context_window": 200000}
-{"model_name": "Mistral: Codestral 2508", "model_id": "mistralai/codestral-2508", "context_window": 256000}
-{"model_name": "Qwen: Qwen3 Coder 30B A3B Instruct", "model_id": "qwen/qwen3-coder-30b-a3b-instruct", "context_window": 160000}
-{"model_name": "Qwen: Qwen3 30B A3B Instruct 2507", "model_id": "qwen/qwen3-30b-a3b-instruct-2507", "context_window": 262144}
-{"model_name": "Z.AI: GLM 4.5", "model_id": "z-ai/glm-4.5", "context_window": 131072}
-{"model_name": "Z.AI: GLM 4.5 Air", "model_id": "z-ai/glm-4.5-air", "context_window": 131072}
-{"model_name": "Qwen: Qwen3 235B A22B Thinking 2507", "model_id": "qwen/qwen3-235b-a22b-thinking-2507", "context_window": 262144}
-{"model_name": "Z.AI: GLM 4 32B", "model_id": "z-ai/glm-4-32b", "context_window": 128000}
-{"model_name": "Qwen: Qwen3 Coder 480B A35B", "model_id": "qwen/qwen3-coder", "context_window": 262144}
-{"model_name": "ByteDance: UI-TARS 7B", "model_id": "bytedance/ui-tars-1.5-7b", "context_window": 128000}
-{"model_name": "Google: Gemini 2.5 Flash Lite", "model_id": "google/gemini-2.5-flash-lite", "context_window": 1048576}
-{"model_name": "Qwen: Qwen3 235B A22B Instruct 2507", "model_id": "qwen/qwen3-235b-a22b-2507", "context_window": 262144}
-{"model_name": "Switchpoint Router", "model_id": "switchpoint/router", "context_window": 131072}
-{"model_name": "MoonshotAI: Kimi K2 0711", "model_id": "moonshotai/kimi-k2", "context_window": 131072}
-{"model_name": "Mistral: Devstral Medium", "model_id": "mistralai/devstral-medium", "context_window": 131072}
-{"model_name": "Mistral: Devstral Small 1.1", "model_id": "mistralai/devstral-small", "context_window": 131072}
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