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@@ -4,12 +4,12 @@
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# This generates user prompts and robot utterances for hierarchical policy training
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# Configuration
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REPO_ID="lerobot/svla_so101_pickplace"
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REPO_ID="jadechoghari/collect-data"
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MODEL="Qwen/Qwen3-VL-30B-A3B-Instruct"
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# Alternative: MODEL="Qwen/Qwen2-VL-7B-Instruct"
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OUTPUT_DIR="/fsx/jade_choghari/outputs/pgen_annotations1"
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OUTPUT_DIR="/fsx/jade_choghari/outputs/collect-data-pgen"
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BATCH_SIZE=32
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TEMPERATURE=0.9
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SAMPLE_INTERVAL=5.0 # Generate dialogue every 1 second (all episodes processed)
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@@ -22,6 +22,7 @@ python examples/dataset/annotate_pgen.py \
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--temperature "$TEMPERATURE" \
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--batch-size "$BATCH_SIZE" \
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--sample-interval "$SAMPLE_INTERVAL" \
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--image-key observation.images.base \
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--num-image-views-per-sample 1
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# For faster testing, increase sample interval:
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