Download src/display/utils.py from silma-ai/Arabic-LLM-Leaderboard: direct link, hf CLI and curl.
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curl -L -o utils.py https://huggingface.co/spaces/silma-ai/Arabic-LLM-Leaderboard/resolve/9d225336047d281958ed9fc1f886d5347c0cd091/src/display/utils.py
2.13 kB
| from dataclasses import dataclass, make_dataclass | |
| from src.about import EvalDimensions | |
| def fields(raw_class): | |
| return [v for k, v in raw_class.__dict__.items() if k[:2] != "__" and k[-2:] != "__"] | |
| # These classes are for user facing column names, | |
| # to avoid having to change them all around the code | |
| # when a modif is needed | |
| class ColumnContent: | |
| name: str | |
| type: str | |
| displayed_by_default: bool | |
| hidden: bool = False | |
| never_hidden: bool = False | |
| ## Leaderboard columns | |
| auto_eval_column_dict = [] | |
| # Init | |
| auto_eval_column_dict.append(["rank", ColumnContent, ColumnContent("Rank", "str", True, False)]) | |
| auto_eval_column_dict.append(["model_source", ColumnContent, ColumnContent("Source", "str", True, False)]) | |
| auto_eval_column_dict.append(["model_category", ColumnContent, ColumnContent("Size", "str", True, False)]) | |
| auto_eval_column_dict.append(["model", ColumnContent, ColumnContent("Model Name", "markdown", True, never_hidden=True)]) | |
| #Scores | |
| auto_eval_column_dict.append(["average_score", ColumnContent, ColumnContent("Benchmark Score (0-10)", "number", True)]) | |
| for eval_dim in EvalDimensions: | |
| if eval_dim.value.metric in ["speed", "contamination_score"]: | |
| auto_eval_column_dict.append([eval_dim.name, ColumnContent, ColumnContent(eval_dim.value.col_name, "number", True)]) | |
| else: | |
| auto_eval_column_dict.append([eval_dim.name, ColumnContent, ColumnContent(eval_dim.value.col_name, "number", False)]) | |
| # We use make dataclass to dynamically fill the scores from Tasks | |
| AutoEvalColumn = make_dataclass("AutoEvalColumn", auto_eval_column_dict, frozen=True) | |
| ## For the queue columns in the submission tab | |
| class EvalQueueColumn: # Queue column | |
| model = ColumnContent("model", "markdown", True) | |
| revision = ColumnContent("revision", "str", True) | |
| status = ColumnContent("status", "str", True) | |
| # Column selection | |
| COLS = [c.name for c in fields(AutoEvalColumn) if not c.hidden] | |
| EVAL_COLS = [c.name for c in fields(EvalQueueColumn)] | |
| EVAL_TYPES = [c.type for c in fields(EvalQueueColumn)] | |
| BENCHMARK_COLS = [t.value.col_name for t in EvalDimensions] | |