Upload data3/quick_batch_start.sh with huggingface_hub

data3/quick_batch_start.sh

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+#!/bin/bash
+# 快速启动批处理（仅准备和提交，不等待完成）
+
+set -e
+
+echo "🚀 快速启动 Batch API 任务"
+echo "========================================"
+
+# 配置
+MIN_SCORE=60
+MODEL="gpt-4o-mini"
+INPUT_FILE="function_dataset_v2.csv"
+BATCH_REQUESTS_FILE="batch_requests_full.jsonl"
+
+# 步骤1: 准备批量请求
+echo "📋 准备批量请求..."
+python3 generate_problems_batch.py prepare \
+    --input $INPUT_FILE \
+    --output $BATCH_REQUESTS_FILE \
+    --min-score $MIN_SCORE \
+    --model $MODEL
+
+REQUEST_COUNT=$(wc -l < $BATCH_REQUESTS_FILE)
+echo ""
+echo "✅ 已准备 $REQUEST_COUNT 个请求"
+
+# 步骤2: 提交
+echo ""
+echo "🚀 提交批处理任务..."
+python3 generate_problems_batch.py submit \
+    --input $BATCH_REQUESTS_FILE \
+    --model $MODEL \
+    --description "Scientific computing problems - $REQUEST_COUNT samples" \
+    | tee batch_submit_output.txt
+
+# 提取 Batch ID
+BATCH_ID=$(grep -oP 'batch_[a-zA-Z0-9_]+' batch_submit_output.txt | head -1)
+
+if [ -n "$BATCH_ID" ]; then
+    echo "$BATCH_ID" > batch_id.txt
+    echo ""
+    echo "✅ 批处理已提交！"
+    echo "📝 Batch ID: $BATCH_ID (已保存到 batch_id.txt)"
+    echo ""
+    echo "监控命令:"
+    echo "  python3 generate_problems_batch.py status $BATCH_ID"
+    echo ""
+    echo "或运行监控脚本:"
+    echo "  ./monitor_batch.sh"
+fi