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pi 2026-06-16 17:09:34 +00:00
parent 189d56026b
commit 7333a22bcd
10774 changed files with 634644 additions and 933308 deletions
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117
venv/lib/python3.12/site-packages/huggingface_hub/repocard_data.py
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@ -1,7 +1,7 @@
import copy
from collections import defaultdict
from dataclasses import dataclass
from typing import Any, Optional, Union
from typing import Any
from huggingface_hub.utils import logging, yaml_dump
@ -84,52 +84,52 @@ class EvalResult:
# A pretty name for the task.
# Example: Speech Recognition
task_name: Optional[str] = None
task_name: str | None = None
# The name of the dataset configuration used in `load_dataset()`.
# Example: fr in `load_dataset("common_voice", "fr")`.
# See the `datasets` docs for more info:
# https://huggingface.co/docs/datasets/package_reference/loading_methods#datasets.load_dataset.name
dataset_config: Optional[str] = None
dataset_config: str | None = None
# The split used in `load_dataset()`.
# Example: test
dataset_split: Optional[str] = None
dataset_split: str | None = None
# The revision (AKA Git Sha) of the dataset used in `load_dataset()`.
# Example: 5503434ddd753f426f4b38109466949a1217c2bb
dataset_revision: Optional[str] = None
dataset_revision: str | None = None
# The arguments passed during `Metric.compute()`.
# Example for `bleu`: max_order: 4
dataset_args: Optional[dict[str, Any]] = None
dataset_args: dict[str, Any] | None = None
# A pretty name for the metric.
# Example: Test WER
metric_name: Optional[str] = None
metric_name: str | None = None
# The name of the metric configuration used in `load_metric()`.
# Example: bleurt-large-512 in `load_metric("bleurt", "bleurt-large-512")`.
# See the `datasets` docs for more info: https://huggingface.co/docs/datasets/v2.1.0/en/loading#load-configurations
metric_config: Optional[str] = None
metric_config: str | None = None
# The arguments passed during `Metric.compute()`.
# Example for `bleu`: max_order: 4
metric_args: Optional[dict[str, Any]] = None
metric_args: dict[str, Any] | None = None
# Indicates whether the metrics originate from Hugging Face's [evaluation service](https://huggingface.co/spaces/autoevaluate/model-evaluator) or not. Automatically computed by Hugging Face, do not set.
verified: Optional[bool] = None
verified: bool | None = None
# A JSON Web Token that is used to verify whether the metrics originate from Hugging Face's [evaluation service](https://huggingface.co/spaces/autoevaluate/model-evaluator) or not.
verify_token: Optional[str] = None
verify_token: str | None = None
# The name of the source of the evaluation result.
# Example: Open LLM Leaderboard
source_name: Optional[str] = None
source_name: str | None = None
# The URL of the source of the evaluation result.
# Example: https://huggingface.co/spaces/open-llm-leaderboard/open_llm_leaderboard
source_url: Optional[str] = None
source_url: str | None = None
@property
def unique_identifier(self) -> tuple:
@ -195,12 +195,17 @@ class CardData:
"""
pass
def to_yaml(self, line_break=None, original_order: Optional[list[str]] = None) -> str:
def to_yaml(self, line_break=None, original_order: list[str] | None = None) -> str:
"""Dumps CardData to a YAML block for inclusion in a README.md file.
Args:
line_break (str, *optional*):
The line break to use when dumping to yaml.
original_order (`list[str]`, *optional*):
If provided, reorder the metadata fields to match this list before dumping.
Any keys not in `original_order` are appended after the listed keys, preserving
their existing relative order. Useful for round-tripping a YAML block without
shuffling its keys.
Returns:
`str`: CardData represented as a YAML block.
@ -246,8 +251,8 @@ class CardData:
def _validate_eval_results(
eval_results: Optional[Union[EvalResult, list[EvalResult]]],
model_name: Optional[str],
eval_results: EvalResult | list[EvalResult] | None,
model_name: str | None,
) -> list[EvalResult]:
if eval_results is None:
return []
@ -329,18 +334,18 @@ class ModelCardData(CardData):
def __init__(
self,
*,
base_model: Optional[Union[str, list[str]]] = None,
datasets: Optional[Union[str, list[str]]] = None,
eval_results: Optional[list[EvalResult]] = None,
language: Optional[Union[str, list[str]]] = None,
library_name: Optional[str] = None,
license: Optional[str] = None,
license_name: Optional[str] = None,
license_link: Optional[str] = None,
metrics: Optional[list[str]] = None,
model_name: Optional[str] = None,
pipeline_tag: Optional[str] = None,
tags: Optional[list[str]] = None,
base_model: str | list[str] | None = None,
datasets: str | list[str] | None = None,
eval_results: list[EvalResult] | None = None,
language: str | list[str] | None = None,
library_name: str | None = None,
license: str | None = None,
license_name: str | None = None,
license_link: str | None = None,
metrics: list[str] | None = None,
model_name: str | None = None,
pipeline_tag: str | None = None,
tags: list[str] | None = None,
ignore_metadata_errors: bool = False,
**kwargs,
):
@ -434,19 +439,19 @@ class DatasetCardData(CardData):
def __init__(
self,
*,
language: Optional[Union[str, list[str]]] = None,
license: Optional[Union[str, list[str]]] = None,
annotations_creators: Optional[Union[str, list[str]]] = None,
language_creators: Optional[Union[str, list[str]]] = None,
multilinguality: Optional[Union[str, list[str]]] = None,
size_categories: Optional[Union[str, list[str]]] = None,
source_datasets: Optional[list[str]] = None,
task_categories: Optional[Union[str, list[str]]] = None,
task_ids: Optional[Union[str, list[str]]] = None,
paperswithcode_id: Optional[str] = None,
pretty_name: Optional[str] = None,
train_eval_index: Optional[dict] = None,
config_names: Optional[Union[str, list[str]]] = None,
language: str | list[str] | None = None,
license: str | list[str] | None = None,
annotations_creators: str | list[str] | None = None,
language_creators: str | list[str] | None = None,
multilinguality: str | list[str] | None = None,
size_categories: str | list[str] | None = None,
source_datasets: list[str] | None = None,
task_categories: str | list[str] | None = None,
task_ids: str | list[str] | None = None,
paperswithcode_id: str | None = None,
pretty_name: str | None = None,
train_eval_index: dict | None = None,
config_names: str | list[str] | None = None,
ignore_metadata_errors: bool = False,
**kwargs,
):
@ -524,17 +529,17 @@ class SpaceCardData(CardData):
def __init__(
self,
*,
title: Optional[str] = None,
sdk: Optional[str] = None,
sdk_version: Optional[str] = None,
python_version: Optional[str] = None,
app_file: Optional[str] = None,
app_port: Optional[int] = None,
license: Optional[str] = None,
duplicated_from: Optional[str] = None,
models: Optional[list[str]] = None,
datasets: Optional[list[str]] = None,
tags: Optional[list[str]] = None,
title: str | None = None,
sdk: str | None = None,
sdk_version: str | None = None,
python_version: str | None = None,
app_file: str | None = None,
app_port: int | None = None,
license: str | None = None,
duplicated_from: str | None = None,
models: list[str] | None = None,
datasets: list[str] | None = None,
tags: list[str] | None = None,
ignore_metadata_errors: bool = False,
**kwargs,
):
@ -710,11 +715,11 @@ def eval_results_to_model_index(model_name: str, eval_results: list[EvalResult])
task_and_ds_types_map[eval_result.unique_identifier].append(eval_result)
# Use the map from above to generate the model index data.
model_index_data = []
model_index_data: list[dict[str, Any]] = []
for results in task_and_ds_types_map.values():
# All items from `results` share same metadata
sample_result = results[0]
data = {
data: dict[str, Any] = {
"task": {
"type": sample_result.task_type,
"name": sample_result.task_name,
@ -741,7 +746,7 @@ def eval_results_to_model_index(model_name: str, eval_results: list[EvalResult])
],
}
if sample_result.source_url is not None:
source = {
source: dict[str, str] = {
"url": sample_result.source_url,
}
if sample_result.source_name is not None:
@ -760,7 +765,7 @@ def eval_results_to_model_index(model_name: str, eval_results: list[EvalResult])
return _remove_none(model_index)
def _to_unique_list(tags: Optional[list[str]]) -> Optional[list[str]]:
def _to_unique_list(tags: list[str] | None) -> list[str] | None:
if tags is None:
return tags
unique_tags = [] # make tags unique + keep order explicitly