add explicit transitative deps

pyproject.toml

@@ -63,11 +63,13 @@ dependencies = [
     "torchvision>=0.22.0,<0.26.0",
     "numpy>=2.0.0,<2.3.0", # NOTE: Explicitly listing numpy helps the resolver converge faster. Upper bound imposed by opencv-python-headless.
     "opencv-python-headless>=4.9.0,<4.14.0",
+    "Pillow>=10.0.0,<13.0.0",
     "einops>=0.8.0,<0.9.0",
 
     # Config & Hub
     "draccus==0.10.0", # TODO: Relax version constraint
     "huggingface-hub>=1.0.0,<2.0.0",
+    "requests>=2.32.0,<3.0.0",
 
     # Environments
     # NOTE: gymnasium is used in lerobot.envs (lerobot-train, lerobot-eval), policies/factory,
@@ -90,6 +92,8 @@ dependencies = [
 # ── Feature-scoped extras ──────────────────────────────────
 dataset = [
     "datasets>=4.0.0,<5.0.0",
+    "pandas>=2.0.0,<3.0.0", # NOTE: Transitive dependency of datasets
+    "pyarrow>=21.0.0,<30.0.0", # NOTE: Transitive dependency of datasets
     "lerobot[av-dep]",
     "torchcodec>=0.3.0,<0.11.0; sys_platform != 'win32' and (sys_platform != 'linux' or (platform_machine != 'aarch64' and platform_machine != 'arm64' and platform_machine != 'armv7l')) and (sys_platform != 'darwin' or platform_machine != 'x86_64')", # NOTE: Windows support starts at version 0.7 (needs torch==2.8), ffmpeg>=8 support starts at version 0.8.1 (needs torch==2.9), system-wide ffmpeg support starts at version 0.10 (needs torch==2.10).
     "jsonlines>=4.0.0,<5.0.0",
@@ -185,7 +189,7 @@ groot = [
     "ninja>=1.11.1,<2.0.0",
     "flash-attn>=2.5.9,<3.0.0 ; sys_platform != 'darwin'"
 ]
-sarm = ["lerobot[transformers-dep]", "faker>=33.0.0,<35.0.0", "lerobot[matplotlib-dep]", "lerobot[qwen-vl-utils-dep]"]
+sarm = ["lerobot[transformers-dep]", "pydantic>=2.0.0,<3.0.0", "faker>=33.0.0,<35.0.0", "lerobot[matplotlib-dep]", "lerobot[qwen-vl-utils-dep]"]
 xvla = ["lerobot[transformers-dep]"]
 hilserl = ["lerobot[transformers-dep]", "gym-hil>=0.1.13,<0.2.0", "lerobot[grpcio-dep]", "lerobot[placo-dep]"]