tgupj/tiny-router-data

---
license: mit
task_categories:
- text-classification
language:
- en
tags:
- agent
- synthetic
size_categories:
- 1K<n<10K
---

# tiny-router dataset

Synthetic data for training and evaluating `tiny-router`, a compact multi-head classifier for short routing decisions.

Each example contains a `current_text` field, optional interaction context, and four labels:

- `relation_to_previous`: `new`, `follow_up`, `correction`, `confirmation`, `cancellation`, `closure`
- `actionability`: `none`, `review`, `act`
- `retention`: `ephemeral`, `useful`, `remember`
- `urgency`: `low`, `medium`, `high`

## Files

- `raw/synthetic.jsonl`: 2,907 synthetic examples before deduplication
- `raw/synthetic.deduped.jsonl`: 2,892 deduplicated examples
- `synthetic/train.jsonl`: 2,279 examples
- `synthetic/validation.jsonl`: 276 examples
- `synthetic/test.jsonl`: 337 examples

The train, validation, and test splits are derived from the deduplicated file. About 37% of examples have no interaction context and only include `current_text` plus labels.

## Schema

```json
{
"current_text": "Actually next Monday",
"interaction": {
"previous_text": "Set a reminder for Friday",
"previous_action": "created_reminder",
"previous_outcome": "success",
"recency_seconds": 45
},
"labels": {
"relation_to_previous": "correction",
"actionability": "act",
"retention": "useful",
"urgency": "medium"
}
}
```

`interaction` is optional and may be `null` or omitted.

## Intended use

This dataset is meant for lightweight research and prototyping around message routing, update handling, memory policy, and prioritization for short text inputs.

## Limitations

- The data is synthetic, not collected from production traffic.
- Labels reflect the routing schema used in this repository and may not transfer cleanly to other products.
- It should not be used on its own for high-stakes or fully autonomous decisions.

### 数据集元信息
许可证：MIT协议
任务类别：文本分类（text-classification）
语言：英语（en）
标签：AI智能体（agent）、合成数据（synthetic）
样本量级：1000 < 样本数 < 10000

# tiny-router 数据集

本数据集用于训练与评估`tiny-router`——一款面向短文本路由决策的紧凑型多头分类器。

每条样本均包含`current_text`字段、可选的交互上下文，以及四类标签：
- `relation_to_previous`：可选值为`new`（新内容）、`follow_up`（跟进）、`correction`（修正）、`confirmation`（确认）、`cancellation`（取消）、`closure`（收尾）
- `actionability`：可选值为`none`（无操作）、`review`（审核）、`act`（执行）
- `retention`：可选值为`ephemeral`（临时留存）、`useful`（有效留存）、`remember`（持久留存）
- `urgency`：可选值为`low`（低优先级）、`medium`（中优先级）、`high`（高优先级）

## 文件说明
- `raw/synthetic.jsonl`：去重前共包含2907条合成样本
- `raw/synthetic.deduped.jsonl`：去重后共包含2892条合成样本
- `synthetic/train.jsonl`：训练集，含2279条样本
- `synthetic/validation.jsonl`：验证集，含276条样本
- `synthetic/test.jsonl`：测试集，含337条样本

训练集、验证集与测试集均源自去重后的样本文件，其中约37%的样本无交互上下文，仅包含`current_text`字段与对应标签。

## 数据格式
json
{
"current_text": "Actually next Monday",
"interaction": {
"previous_text": "Set a reminder for Friday",
"previous_action": "created_reminder",
"previous_outcome": "success",
"recency_seconds": 45
},
"labels": {
"relation_to_previous": "correction",
"actionability": "act",
"retention": "useful",
"urgency": "medium"
}
}

`interaction`为可选字段，可设为`null`或直接省略。

## 适用场景
本数据集旨在支持针对短文本输入的消息路由、更新处理、内存策略与优先级排序相关的轻量化研究与原型开发。

## 局限性说明
- 本数据集为合成生成数据，并非采集自真实生产流量。
- 标签仅适配本仓库所用的路由框架，无法直接迁移至其他产品场景。
- 不得单独将本数据集用于高风险或完全自主的决策场景。