Add SGI-Bench-1.0 #1358
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Add SGI-Bench-1.0 #1358
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…experimental reasoning)
…date readme of SGI-Bench-1.0
mzr1996
requested changes
Dec 23, 2025
| import re | ||
| from typing import Any, Dict, List | ||
| from datasets import load_dataset | ||
| from vlmeval import * |
Collaborator
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Avoid multiple from xxx import *
| return assistant_response | ||
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| judge = VLM('o4-mini') |
Collaborator
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Use judge_kwargs and build_judge to construct judge model.
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| try: | ||
| images = [decode_base64_to_image(b64) for b64 in row['step_images'] ] | ||
| llm_judge = judge(images, judge_prompt).strip() |
Collaborator
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better to use track_progress_rich to parellel run api judge.
| def evaluate(self, eval_file, **judge_kwargs): | ||
| save_dir_last = 'sgi_code_logs' | ||
| global save_dir | ||
| work_dir = judge_kwargs.get('work_dir','./outputs') |
Collaborator
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Do not define work dir in the dataset code. Use eval_file path to get the evaluation work dir.
| os.makedirs(os.path.join(tmp_data_dir, "0200"), exist_ok=True) | ||
| os.makedirs(os.path.join(tmp_data_dir, "0236"), exist_ok=True) | ||
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| download_file("https://raw.githubusercontent.com/InternScience/SGI-Bench/main/evaluation/task_3_dry_experiment/data/SGI_DryExperiment_0206/t10k-images-idx3-ubyte.gz", tmp_data_dir+"/0206") |
Collaborator
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Download the extra resource file to the subdir of LMUDataRoot(), instead of the evaluation work dir.
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