README.md

---
dataset_info:
  features:
  - name: graph
    struct:
    - name: edges
      list:
      - name: source
        dtype: int64
      - name: target
        dtype: int64
      - name: utterances
        sequence: string
    - name: nodes
      list:
      - name: id
        dtype: int64
      - name: is_start
        dtype: bool
      - name: label
        dtype: string
      - name: utterances
        sequence: string
  - name: topic
    dtype: string
  - name: dialogs
    list:
    - name: id
      dtype: string
    - name: messages
      list:
      - name: participant
        dtype: string
      - name: text
        dtype: string
  splits:
  - name: train
    num_bytes: 4865580
    num_examples: 402
  download_size: 658444
  dataset_size: 4865580
configs:
- config_name: default
  data_files:
  - split: train
    path: data/train-*
language:
- en
pretty_name: d2g_g
---

# Dialogue2Graph

This is a dialogue dataset. Every dialogue graph has corresponding set of dialogues.
It is intended for machine learning research and experimentation.

This dataset is generated with LLMs to test dialogue2graph task.

## Usage

```python
from datasets import load_dataset

dataset = load_dataset("DeepPavlov/d2g_generated", token=True)
```

This dataset is designed to develop dialogue2graph solution.