---
license: apache-2.0
pretty_name: Noval-Corp Training Corpus (135M round)
language:
  - en
task_categories:
  - text-generation
tags:
  - continued-pretraining
  - domain-adaptation
  - synthetic
  - fictional
size_categories:
  - 1K<n<10K
dataset_info:
  features:
  - name: text
    dtype: string
  splits:
  - name: train
    num_bytes: 323579908
    num_examples: 8272
  - name: validation
    num_bytes: 2362217
    num_examples: 45
  download_size: 160286474
  dataset_size: 325942125
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
  - split: validation
    path: data/validation-*
---

# Noval-Corp Training Corpus (135M round)

**What's inside** — Plain-text training documents for the first (SmolLM2-135M) CPT round: Orbital Mining Corporation technical docs and Mars Express telemetry logs.

**Where it comes from** — `orbital-mining-corpus` + `mars-express-telemetry-logs`, interleaved ~70/30 in favour of OMC.

**How it was built / modified** — Interleaving only — no curation, dedup or replay (those arrived in later rounds). Validation is the untouched OMC test split. Superseded by `noval-corp-training-corpus-lfm2` and `asterion-training-corpus-gemma4`.

## Overview

- **Role**: CPT corpus — first (SmolLM2-135M) round
- **Lineage**: `orbital-mining-corpus` + `mars-express-telemetry-logs` → **this** → `smollm2-135m-noval` (CPT)

## Schema

| Column | Meaning |
|---|---|
| `text` | one document per row (OMC doc or telemetry log) |

## Splits

| Split | Rows | Note |
|---|---|---|
| train | 8,272 | interleaved 30/70 mars/orbital |
| validation | 45 | orbital-mining-corpus test split |

## Used by

- train.py (135M round) → atenareply/smollm2-135m-noval

## Limitations

- Fictional domain (OMC) — the corpus teaches an invented world.
- No curation/dedup/replay: those improvements arrived with the LFM2 round.

---
_Part of the **noval-corp** fictional-domain training family (Orbital Mining Corporation / Mars Express; Asterion round for Gemma-4). Card generated by `noval-corp/scripts/gen_dataset_cards.py` — see `noval-corp/NOTE.md` for the full project log._