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README.md

@@ -60,10 +60,12 @@ dataset = load_dataset("CRUISEResearchGroup/AnyMo-Bench", "AnyMo-Bench-150-US")
 ## Schema
 
 - `sample_id`: unique row identifier within the exported benchmark.
+- `session_id`: Nymeria sequence/session directory name.
 - `subject_id`: Nymeria anonymized subject identifier.
 - `body_position`: concatenated body-position group, currently `head+left_wrist+right_wrist`.
 - `device_id`: selected co-located IMU unit, `imu_1202_1` or `imu_1202_2`.
-- `start_time_sec`, `end_time_sec`: activity-window boundaries in seconds within the synchronized 60 Hz session stream.
+- `start_time_sec`, `end_time_sec`: Nymeria time-code boundaries in seconds for the activity window.
+- `start_t_ns_global`, `end_t_ns_global`: Nymeria global time-code boundaries in nanoseconds for the activity window.
 - `label`: activity label for the selected label taxonomy.
 - `label_id`: zero-based label index for the selected label taxonomy.
 - `imu`: nested list with shape `[T, 18]`.
@@ -76,6 +78,10 @@ head_acc_x, head_acc_y, head_acc_z, head_gyro_x, head_gyro_y, head_gyro_z, left_
 
 The exported IMU values are the processed 60 Hz benchmark windows before model-specific normalization. Shorter-than-5-second windows are not zero-padded in the Parquet files. Windows longer than 300 timesteps are split into non-overlapping 300-timestep segments, matching the AnyMo Bench evaluation construction.
 
+## Mapping Back to Nymeria
+
+Each row includes the Nymeria `session_id` and global time-code fields (`start_t_ns_global`, `end_t_ns_global`). These fields let users map AnyMo Bench labels back to the original Nymeria sequence and align the labels with other Nymeria modalities, including RGB video and body motion. The official Nymeria tools are available at [facebookresearch/nymeria_dataset](https://github.com/facebookresearch/nymeria_dataset). See `examples/map_to_nymeria_modalities.py` for a minimal example.
+
 ## Split Summary
 
 | Config | Train rows | Test rows | Train device | Test device |

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