Upload README.md

README.md

@@ -36,7 +36,6 @@ Videos remain in the original Hugging Face dataset and are not duplicated.
 ## Source Dataset and Author
 
 - Original dataset: [`ac-pate/test_mobile_bimanual_converted`](https://huggingface.co/datasets/ac-pate/test_mobile_bimanual_converted)
-- Pinned source revision: [`129014a57baadd90b8fdb277a2866991a81b2b9a`](https://huggingface.co/datasets/ac-pate/test_mobile_bimanual_converted/tree/129014a57baadd90b8fdb277a2866991a81b2b9a)
 - Original author, repository owner, and uploader: [Achal Patel (`ac-pate`)](https://huggingface.co/ac-pate)
 - License: Apache-2.0
 - Robot type: `mimic_follower`
@@ -56,18 +55,6 @@ repository contains 15-dimensional vectors and four streams; the remote tree
 also corrects the stale `total_videos: 75` count and video path order in source
 `meta/info.json` to 100 files under `videos/{video_key}/chunk-000/`.
 
-## Converted Files
-
-- TsFile: `data/ac_pate_test_mobile_bimanual_converted.tsfile`
-- Table: `ac_pate_test_mobile_bimanual_converted`
-- Rows: 15,177
-- Episodes/devices: 25
-- Columns: 35 total (1 TIME, 2 TAG, 32 FIELD)
-- TsFile size: 0.87 MiB
-- Time precision: milliseconds
-- Metadata: source `meta/` files are preserved; `meta/info.json` is updated to
-  describe the TsFile schema, mapping, provenance, and video policy.
-
 ## TsFile Schema
 
 `Time` is an INT64 millisecond timestamp computed as
@@ -87,31 +74,6 @@ six right-arm values, then three mobile-base values. In the action vector the
 base values are `base_vx`, `base_vy`, and `base_omega`; in state they are
 `base_x`, `base_y`, and `base_theta`.
 
-## Conversion Notes
-
-- All 25 source episode Parquet files are merged into one train table-model
-  TsFile. Filter by `episode_index` and `task_index` to select a trajectory.
-- `observation.state[15]` and `action[15]` are flattened to scalar FLOAT
-  fields. Full source prefixes are preserved and `.` is replaced with `_`.
-- Source `timestamp` is dropped after Time synthesis because it is represented
-  by `Time / 1000` seconds at millisecond precision.
-- Source `index` is retained as `sample_index`; `frame_index` is unchanged.
-- No source rows, episodes, tasks, or numeric vector dimensions are dropped.
-
-## Encoding and Compression
-
-Both permitted numeric profiles were generated and fully validated; the
-smaller valid result (`zstd`) was selected:
-
-- `Time`: `TS_2DIFF + LZ4`
-- FLOAT/DOUBLE FIELD values: `GORILLA + ZSTD`
-- INT32/INT64 FIELD values: `TS_2DIFF + ZSTD`
-- BOOLEAN FIELD values: `RLE + LZ4` (no BOOLEAN fields occur in this source)
-- TAG values: TsFile table device/TAG mechanism (`PLAIN + LZ4` storage)
-
-The final TsFile is 0.5893 times the combined size of the 25 source
-Parquet files.
-
 ## Videos
 
 Videos are not included in this converted repository. The pinned source has
@@ -127,14 +89,6 @@ Source template: `videos/{video_key}/chunk-{episode_chunk:03d}/episode_{episode_
 episode. Numeric rows remain aligned with the original videos through
 `episode_index`, `frame_index`, and `meta/episodes/`.
 
-## Validation
-
-Local validation checks source/staged/TsFile row equality, unique
-`(episode_index, task_index, Time)` keys, per-episode Time monotonicity, table
-and TAG schema, full Java readback, SHA-256, actual per-column codecs, and
-output size. Conversion scripts and validation reports are intentionally not
-part of the upload-ready dataset.
-
 ## Minimal Read Example
 
 ```python