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README.md

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+---
+license: other
+task_categories:
+  - time-series-forecasting
+  - tabular-regression
+pretty_name: TwinnableAgent C-MAPSS processed parquet data
+tags:
+  - cmapss
+  - predictive-maintenance
+  - remaining-useful-life
+  - twinnableagent
+---
+
+# TwinnableAgent C-MAPSS Processed Parquet Data
+
+This dataset hosts the processed NASA C-MAPSS turbofan degradation files used by
+TwinnableAgent. It includes FD001 through FD004 as parquet files plus the
+conversion script used to derive them from the NASA raw training text files.
+
+Raw NASA zip and text dumps are intentionally not mirrored here. The raw source
+of record is the NASA Prognostics Center of Excellence C-MAPSS Turbofan Engine
+Degradation dataset, currently distributed through NASA Open Data as
+`CMAPSSData.zip`.
+
+## Files
+
+| File | Rows | Units | Operating conditions | Fault modes |
+|---|---:|---:|---:|---:|
+| `FD001_processed.parquet` | 20,631 | 100 | 1 | 1 |
+| `FD002_processed.parquet` | 53,759 | 260 | 6 | 1 |
+| `FD003_processed.parquet` | 24,720 | 100 | 1 | 2 |
+| `FD004_processed.parquet` | 61,249 | 249 | 6 | 2 |
+| `scripts/convert_cmapss_to_parquet.py` | - | - | - | - |
+
+## Conversion
+
+Each processed parquet is derived from the matching NASA training file:
+
+```text
+train_FD001.txt -> FD001_processed.parquet
+train_FD002.txt -> FD002_processed.parquet
+train_FD003.txt -> FD003_processed.parquet
+train_FD004.txt -> FD004_processed.parquet
+```
+
+The conversion keeps the NASA column order, assigns explicit column names, and
+adds a per-row remaining-useful-life label:
+
+```text
+rul = max(cycle for unit) - cycle
+```
+
+The conversion command used by TwinnableAgent is:
+
+```bash
+python scripts/convert_cmapss_to_parquet.py --datasets FD001 FD002 FD003 FD004
+```
+
+## Schema
+
+All four parquet files use the same schema:
+
+| Column | Type | Meaning |
+|---|---|---|
+| `unit` | integer | Engine trajectory identifier. |
+| `cycle` | integer | Time-cycle index within the trajectory. |
+| `op1`, `op2`, `op3` | float | NASA operating setting columns. |
+| `s1` through `s21` | float | NASA sensor channels. Sensor units are anonymized by C-MAPSS. |
+| `rul` | integer | Remaining useful life in cycles, derived during conversion. |
+
+## Operating-condition clusters
+
+TwinnableAgent PAL resolves FD002 and FD004 into six operating-condition groups
+by rounding the three operating settings to the nearest integer and assigning a
+stable label by sorted tuple order.
+
+FD002 mapping:
+
+| Cluster | Rounded `(op1, op2, op3)` | Rows | Units represented |
+|---|---:|---:|---:|
+| `op_cluster_0` | `(0, 0, 100)` | 8,044 | 260 |
+| `op_cluster_1` | `(10, 0, 100)` | 8,096 | 260 |
+| `op_cluster_2` | `(20, 1, 100)` | 8,122 | 260 |
+| `op_cluster_3` | `(25, 1, 60)` | 8,002 | 260 |
+| `op_cluster_4` | `(35, 1, 100)` | 8,037 | 260 |
+| `op_cluster_5` | `(42, 1, 100)` | 13,458 | 260 |
+
+FD004 mapping:
+
+| Cluster | Rounded `(op1, op2, op3)` | Rows | Units represented |
+|---|---:|---:|---:|
+| `op_cluster_0` | `(0, 0, 100)` | 9,238 | 249 |
+| `op_cluster_1` | `(10, 0, 100)` | 9,224 | 249 |
+| `op_cluster_2` | `(20, 1, 100)` | 9,091 | 249 |
+| `op_cluster_3` | `(25, 1, 60)` | 9,139 | 249 |
+| `op_cluster_4` | `(35, 1, 100)` | 9,162 | 249 |
+| `op_cluster_5` | `(42, 1, 100)` | 15,395 | 249 |
+
+## Provenance note: FD004 unit count
+
+The NASA readme describes FD004 training data as 248 trajectories, but the raw
+`train_FD004.txt` file contains 249 distinct unit identifiers. This repository
+preserves the raw file as authoritative and reports FD004 as 249 units.
+
+## Intended use
+
+These files support TwinnableAgent reproducibility, PAL adapter validation,
+cross-dataset predictive-maintenance experiments, and C-MAPSS RUL benchmark
+work. They are processed training trajectories, not raw NASA archives.