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Download src/elbench/schemas/evaluation.py from adelevett/ELBench-live: direct link, hf CLI and curl.
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https://huggingface.co/spaces/adelevett/ELBench-live/resolve/main/src/elbench/schemas/evaluation.py
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hf download hf://spaces/adelevett/ELBench-live/src/elbench/schemas/evaluation.py
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curl -L -o evaluation.py https://huggingface.co/spaces/adelevett/ELBench-live/resolve/main/src/elbench/schemas/evaluation.py
2.61 kB
| from __future__ import annotations | |
| from datetime import datetime | |
| from typing import Any | |
| from pydantic import BaseModel, Field | |
| class RawRecord(BaseModel): | |
| source_path: str | |
| source_file: str | |
| row_index: int | |
| record: dict[str, Any] | |
| class Sample(BaseModel): | |
| sample_id: str | |
| source_file: str | |
| source_path: str | |
| module: str | |
| subset: str | |
| task: str | None = None | |
| dimension: str | None = None | |
| prompt: str | |
| reference: dict[str, Any] | str | None = None | |
| metadata: dict[str, Any] = Field(default_factory=dict) | |
| raw_record: dict[str, Any] = Field(default_factory=dict) | |
| class GenerationRequest(BaseModel): | |
| prompt: str | |
| system_prompt: str | None = None | |
| temperature: float | None = None | |
| max_tokens: int | None = None | |
| stream: bool = False | |
| reasoning: dict[str, Any] | None = None | |
| messages: list[dict[str, str]] = Field(default_factory=list) | |
| provider_kwargs: dict[str, Any] = Field(default_factory=dict) | |
| class ModelResponse(BaseModel): | |
| text: str | None = None | |
| raw_payload: dict[str, Any] = Field(default_factory=dict) | |
| usage: dict[str, Any] = Field(default_factory=dict) | |
| latency_ms: float | None = None | |
| retry_count: int = 0 | |
| status_code: int | None = None | |
| error: str | None = None | |
| format_valid: bool | None = None | |
| format_metadata: dict[str, Any] = Field(default_factory=dict) | |
| class JudgeResult(BaseModel): | |
| judge_name: str | |
| judge_result: str | |
| score: float | None = None | |
| judge_reason: str | None = None | |
| judge_metadata: dict[str, Any] = Field(default_factory=dict) | |
| class EvalResult(BaseModel): | |
| sample_id: str | |
| source_file: str | |
| source_path: str | |
| module: str | |
| subset: str | |
| task: str | None = None | |
| dimension: str | None = None | |
| prompt: str | |
| reference: dict[str, Any] | str | None = None | |
| provider_name: str | |
| model_id: str | |
| model_name: str | |
| model_response: str | None = None | |
| judge_result: str | None = None | |
| score: float | None = None | |
| judge_reason: str | None = None | |
| latency_ms: float | None = None | |
| retry_count: int = 0 | |
| timestamp: datetime | |
| metadata: dict[str, Any] = Field(default_factory=dict) | |
| judge_metadata: dict[str, Any] = Field(default_factory=dict) | |
| raw_response: dict[str, Any] = Field(default_factory=dict) | |
| class FailureRecord(BaseModel): | |
| sample_id: str | |
| source_file: str | |
| module: str | |
| subset: str | |
| provider_name: str | |
| model_id: str | |
| retry_count: int | |
| error_type: str | |
| error_message: str | |
| timestamp: datetime | |
| metadata: dict[str, Any] = Field(default_factory=dict) | |