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import gradio as gr | |
from gradio_leaderboard import Leaderboard, SelectColumns, ColumnFilter | |
from src.common.data import load_dataset | |
from src.common.schema import DatasetSchema | |
from src.common.paths import DOCS_PATH, DATASET_NAME | |
_dataset = load_dataset() | |
def show_dataset_example(id_: str) -> str: | |
example = _dataset[_dataset[DatasetSchema.id_] == id_].iloc[0] | |
text = f""" | |
## Task | |
**{example[DatasetSchema.description]}** | |
{example[DatasetSchema.task_text]} | |
### Answer type | |
```python | |
{example[DatasetSchema.answer_type]} | |
``` | |
({example[DatasetSchema.task_note]}) | |
## Answer | |
{example[DatasetSchema.answer_text]} | |
### Correct answer | |
```json | |
{example[DatasetSchema.correct_answer]} | |
``` | |
### Answer check | |
{example[DatasetSchema.check_type]} | |
""".strip() | |
if example[DatasetSchema.check_function]: | |
text += f"\n\n#### Check function\n\n```python\n{example[DatasetSchema.check_function]}\n```" | |
return text | |
with gr.Blocks( | |
title="ROMB Leaderboard v1.0", | |
theme=gr.themes.Ocean( | |
primary_hue=gr.themes.colors.green, | |
), | |
) as application: | |
gr.Markdown("# π₯ ROMB - Russian Olympiad Math Benchmark") | |
gr.Markdown( | |
f"See ROMB-1.0 dataset there - [{DATASET_NAME}](https://huggingface.co/datasets/{DATASET_NAME})." | |
) | |
with gr.Tabs(): | |
with gr.Tab("Leaderboard"): | |
gr.Markdown("In progress...") | |
with gr.Tab("Evaluate"): | |
gr.Markdown((DOCS_PATH / "evaluate.md").read_text()) | |
with gr.Tab("Submit"): | |
gr.Markdown("In progress...") | |
with gr.Tab("Task example"): | |
gr.Interface( | |
fn=show_dataset_example, | |
inputs=gr.Dropdown( | |
choices=list(_dataset[DatasetSchema.id_]), | |
value=0, | |
label="Example ID", | |
), | |
outputs=gr.Markdown(label="Example"), | |
title="Show Dataset Example", | |
examples=[ | |
[8], | |
[14], | |
[17], | |
[22], | |
[40], | |
[230], | |
], | |
) | |
if __name__ == "__main__": | |
application.launch() | |