diff --git a/examples/behavior_1k/convert.slurm b/examples/behavior_1k/convert.slurm
new file mode 100644
index 000000000..5cc929595
--- /dev/null
+++ b/examples/behavior_1k/convert.slurm
@@ -0,0 +1,30 @@
+#!/bin/bash
+#SBATCH -J b1k-convert
+#SBATCH -p hopper-cpu            # pick your partition
+#SBATCH --qos=high
+#SBATCH --array=0-49%8           # 50 tasks, max 8 running concurrently (conversion is I/O bound)
+#SBATCH -c 1                     # CPUs per conversion (tune as needed)
+#SBATCH -t 2:00:00               # Time per conversion
+#SBATCH --mem=3G                 # ~1.75GB for task 0, ~doubled for safety
+#SBATCH -o logs/%x-%A_%a.out     # per-task logs
+#SBATCH -e logs/%x-%A_%a.err
+
+set -euo pipefail
+export OMP_NUM_THREADS=$SLURM_CPUS_PER_TASK  # avoid BLAS oversubscription
+
+DATA_PATH="/fsx/francesco_capuano/.cache/behavior-1k/2025-challenge-demos"
+BASE_OUT="/fsx/francesco_capuano/behavior1k"
+mkdir -p "$BASE_OUT" logs
+
+i="${SLURM_ARRAY_TASK_ID}"
+OUT_DIR="$(printf "%s/behavior1k-task%04d" "$BASE_OUT" "$i")"
+
+# activate your env if needed
+source ~/.bashrc
+conda activate lerobot
+
+python examples/behavior_1k/convert_to_lerobot_v3.py \
+  --data-path "$DATA_PATH" \
+  --new-repo "$OUT_DIR" \
+  --task-id "$i" \
+  --force-conversion