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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. |