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---
license: other
language: en
pretty_name: "Webnovel Narrative Emotion — 7c Core Stable (No-fee, Access Request)"
tags:
- gated
- research-only
- non-commercial
- schema-stable
- reproducible
- 7c
- narrative
- emotion
- vad
- webnovel
- arr
status: active
schema_version: "1.7c.core-arr"
gated: true
task_categories: [text-classification]
task_ids: [sentiment-classification]
size_categories: ["n<1K"]
extra_gated_prompt: |
No-fee access for academic & non-commercial research (ARR).
Access is provided via a short request-and-approval flow.
Please share your intended use.
extra_gated_fields:
Full name: text
Organization / Affiliation: text
Intended use:
type: select
options:
- Academic research
- Education
- Evaluation
- Other
I agree to the JsisOn License (ARR): checkbox
I will not attempt anchor reconstruction: checkbox
see_also:
- "https://huggingface.co/datasets/jsisonou/narrative-engine-emotion-5c"
---
> **Try the PV Peak/Valley Explorer**
> 🔗 **PV Radar (Beta) Space**: https://huggingface.co/spaces/jsisonou/narrative-engine-pv-radar-beta
> Use this dataset’s sample files to test:
> - **Curve Mode**: upload `book_curve.scene.csv` → Run
> - **Text Mode**: paste one scene per line → Run
> You’ll get `pv_pred` (per-scene labels), `arc_summary` (global peak/valley), and score curves.
> *Assistive only; human-in-the-loop. No model weights or training recipes are exposed.*
---
Latest: v1_0 · vol01 · ep001 — 7c updated (N scenes). No-fee • Research-only • Access request required.
**No-fee (access request). Research-only.** Includes 5c columns plus `conf` and `plot_break`. For a public sample, see the [5c Research Pack](https://huggingface.co/datasets/jsisonou/webnovel-emotion-5c-free).
---
This is the 7c Core Stable edition (Free, Gated) under the JsisOn License (ARR).
It contains the emotion curve only (CSV) with the same 7 fields across releases;
schema-stable and reproducible.
For open exploration see 5c Free; for richer yet stable coverage, 15c Extended (superset).
> **Anchor Non-Disclosure (ARR)**
> This edition does **not** include numeric lexicon anchors.
> Per-scene VAD values are **pre-snap continuous estimates**, not label anchor coordinates.
## Why 7c (vs 9c)
- Fixed 7 columns, zero-NA policy, range-checked → downstream-stable.
- Internal thresholds/distances are not exposed → IP-safe.
- Curve-only CSV; no JSONL scenes or full text.
- Fixed lexicon version (JS-LEX core100 v1) → stable labels across releases.
- Labels use stable identifiers; the mapping is provided in `lexicon/core100.v1.bin.tsv`.
## Schema (7 columns)
scene_idx | valence | arousal | dominance | label | conf | plot_break
## Sample (CSV)
scene_idx,valence,arousal,dominance,label,conf,plot_break
1,0.5,0.5,0.5,longing,0.595939,1
2,0.7,0.6,0.6,interest,1,0
3,0.2,0.8,0.4,tension,1,0
4,0.7,0.6,0.6,interest,1,0
5,0.45,0.875,0.35,astonishment,0.589674,0
- **Fields**
- `scene_idx` (int) — **1-based** index within the episode
- `label` (string) — primary emotion from **JS-LEX core100 v1** (see `lexicon/core100.v1.bin.tsv`)
- `conf` (float, 0..1) — confidence for `label`
- `valence` (float, 0..1)
- `arousal` (float, 0..1)
- `dominance` (float, 0..1)
- `plot_break` (boolean: 0/1)
## Files
- data/`7c_curve.csv` — per-scene emotion curve (7 cols)
- schema/`public_contract.schema.json` — public interface (no implementation details)
- docs/`LICENSE.txt` — JsisOn License (ARR) terms
- docs/`GATED_POLICY.md` — access terms
- lexicon/`core100.v1.bin.tsv`
# Lexicon (core100.v1)
- We provide a minimal, non-numeric VAD lexicon to ensure reproducibility without exposing raw anchors.
- **File**: `lexicon/core100.v1.bin.tsv` (UTF-8, TSV)
- **Columns**: `label, V_bin, A_bin, D_bin, direction`
- **Bins**: `VL, L, M, H, VH` (five ordered levels around the neutral anchor)
- **Neutral anchor**: conceptually (0.5, 0.5, 0.5) — choose midpoints per your protocol.
- **Version**: `core100.v1`
- **License**: research-only (no redistribution / no training without consent)
- Exact numeric anchors are reserved to the Pro edition;
- attempts to reconstruct anchors are not permitted under ARR.
**Reconstruction (optional, by user)**
Researchers may map bins to numeric midpoints (e.g., a 5-level scale) in their own
code/protocol to derive approximate VAD values for analysis.
This dataset intentionally does not include numeric coordinates.
# **Dataset Summary**
7-column VAD core for research and prototyping. No source text. Derived from
Batalstone vol.1 pipeline (`vad@1.0.0`, JS-LEX core100).
# **Access & Gating**
This is a **Gated Free** dataset under the **JsisOn License (ARR)**.
- **Allowed (non-commercial only):** academic research, evaluation, and model training for research.
- **Prohibited:** commercial training/deployment, resale, sublicensing, redistribution.
Access is free after approval on the Hub (request access and accept ARR terms).
# **Data Structure**
```
.
├─ data/
│ └─ 7c_curve.csv
├─ schema/
│ └─ public_contract.schema.json
├─ lexicon/
│ └─ core100.v1.bin.tsv
├─ docs/
│ ├─ LICENSE.txt
│ └─ GATED_POLICY.md
```
- VAD fields are pre-snap continuous estimates;
- numeric lexicon anchors are not part of this edition.
---
## B. Schema (public)
`schema/public_contract.schema.json`
```json
{
"$schema": "https://json-schema.org/draft/2020-12/schema",
"$id": "https://schemas.jsison.com/batalstone/curve_7c_core.arr.v1.json",
"title": "Batalstone 7c Core Stable — Curve Only (ARR)",
"description": "No numeric lexicon anchors are included; VAD fields are pre-snap continuous estimates.",
"type": "object",
"required": ["scene_idx","valence","arousal","dominance","label","conf","plot_break"],
"properties": {
"scene_idx": { "type": "integer", "minimum": 1, "description": "1-based scene index" },
"valence": { "type": "number", "minimum": 0.0, "maximum": 1.0 },
"arousal": { "type": "number", "minimum": 0.0, "maximum": 1.0 },
"dominance": { "type": "number", "minimum": 0.0, "maximum": 1.0 },
"label": {
"type": "string",
"description": "Primary emotion (JS-LEX core100 v1). See lexicon/core100.v1.bin.tsv (non-numeric bins)."
},
"conf": { "type": "number", "minimum": 0.0, "maximum": 1.0 },
"plot_break":{
"description": "0/1 in CSV; cast to boolean by readers",
"oneOf":[{"type":"integer","enum":[0,1]},{"type":"boolean"}]
}
},
"additionalProperties": false
}
```
```
from datasets import load_dataset, Features, Value
features = Features({
"scene_idx": Value("int32"),
"valence": Value("float32"),
"arousal": Value("float32"),
"dominance": Value("float32"),
"label": Value("string"),
"conf": Value("float32"),
"plot_break":Value("bool"),
})
ds = load_dataset("jsisonou/webnovel-narrative-emotion",
data_files="data/7c_curve.csv",
split="train",
features=features)
```
| Edition | Columns | Access | Purpose | Why choose it |
| ------------------------- | --------------: | ---------------- | ---------------------------------- | ------------------------------------------------------- |
| 9c Preview (archived) | 9 + diagnostics | archived | historical preview | experimental fields; unstable |
| **7c Core (gated, free)** | **7** | gated-free (ARR) | **research & evaluation standard** | **stable schema, zero-NA, fixed lexicon, reproducible** |
| 5c Free | 5 | public | quick baselines | ultra-light, open |
# **Intended Use & Limitations**
Research, benchmarking, prototyping.
**Non-commercial model training and evaluation are allowed**;
any commercial use requires a separate written agreement (see **License**).
# **License**
**LicenseRef-JsisOn (ARR)** — full text in `docs/LICENSE.txt`.
Summary: https://js-is-on.com/licenses/1.0/
(Non-commercial research/review only; no redistribution, sublicensing,
or commercial training/deployment.)
---
Contact: [ai@batalstone.com](mailto:ai@batalstone.com) → [5c Research Pack](https://huggingface.co/datasets/jsisonou/webnovel-emotion-5c-free)
---
# **Changelog**
`1.0.0` — Initial 7c Core Stable (no-TH). Supersedes legacy 9c preview.
@dataset{batalstone_emotion_7c_core_arr_2025,
author = {Liia Black},
title = {Webnovel Narrative Emotion — 7c Core Stable (Gated, Free)},
year = {2025},
publisher = {JsisOn OÜ}
}