{"data":{"kind":"file","path":"README.md","version_id":"e9rc2kcdiu0a68emse2m06jl","entry":{"name":"README.md","path":"README.md","is_directory":false,"size":874,"modified_at":"2026-01-14T18:49:09.502000","content_hash":"a4f2a03c02a8eb3e6af1eb9284726817875268483a71025ab3966520bb92280d"},"entries":[],"content":"# RLM Arbitrary Data Demo\n\nThis toy environment exercises the custom data serialization path in `RLMEnv`.\n\nThe environment supports multiple `context_dtype` options so you can test different\nserializers from a single entrypoint:\n\n- `text` → string (default serializer)\n- `list` → builtin serializer (random list of ints)\n- `tuple` → builtin serializer (random tuple of ints)\n- `nested_list` → builtin serializer (nested list of ints)\n- `nested_dict` → builtin serializer (nested dict/list of ints)\n- `mixed` → builtin serializer (mixed builtin containers)\n- `large_list` → builtin serializer (larger list of ints)\n- `polars` → custom serializer/deserializer in this environment\n\nRun:\n\n```bash\nprime eval run rlm-arbitrary-data-demo -n 1\n```\n\nTo pick a dtype explicitly:\n\n```bash\nprime eval run rlm-arbitrary-data-demo -n 1 --env-arg context_dtype=polars\n```\n","encoding":"utf-8","truncated":false,"total_bytes":874},"status":null}