Datasets:
File size: 3,812 Bytes
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dataset_info:
features:
- name: personas
sequence: string
- name: additional_context
dtype: string
- name: previous_utterance
sequence: string
- name: context
dtype: string
- name: free_messages
sequence: string
- name: guided_messages
sequence: string
- name: suggestions
struct:
- name: convai2
sequence: string
- name: empathetic_dialogues
sequence: string
- name: wizard_of_wikipedia
sequence: string
- name: guided_chosen_suggestions
sequence: string
splits:
- name: train
num_bytes: 8990720
num_examples: 4096
- name: validation
num_bytes: 1601536
num_examples: 723
download_size: 10600448
dataset_size: 10592256
configs:
- config_name: default
data_files:
- split: train
path: data/train.parquet
- split: validation
path: data/validation.parquet
size_categories:
- 1K<n<10K
license: apache-2.0
task_categories:
- text-generation
---
## Compatibility Update
This repository is a compatibility-fixed version of the original **Blended Skill Talk** dataset.
The original dataset can be found at:
- Original Hugging Face dataset: https://huggingface.co/datasets/anezatra/blended-skill-talk
This version was created to maintain compatibility with newer versions of the Hugging Face `datasets` library.
### Changes from the Original Dataset
The following changes were made:
- Removed the unused `label_candidates` column.
- Removed the invalid `label_candidates` feature definition (`sequence: null`) that caused schema parsing failures.
- Re-exported the dataset Parquet files with a corrected schema.
- Updated dataset metadata to match the exported files.
No conversation examples were modified.
No examples were added or removed.
The dataset content remains the same as the original release.
---
# Blended Skill Talk
## Dataset Summary
Blended Skill Talk is a conversational dataset designed to train and evaluate dialogue systems capable of combining multiple conversational skills.
The dataset combines persona-based conversation, empathetic dialogue, and knowledge-grounded conversation elements to encourage models to produce engaging, context-aware responses.
The dataset incorporates information from ConvAI2, EmpatheticDialogues, and Wizard of Wikipedia.
---
## Data Structure (Updated)
### Fields
| Field | Description |
|:------|:-------------|
| personas | List of personas participating in the conversation |
| additional_context | Extra context or scenario description |
| previous_utterance | The immediately preceding dialogue turn(s) |
| context | General conversation context |
| free_messages | Free-form user or system messages |
| guided_messages | Messages generated via guided prompts |
| suggestions | Suggested responses from ConvAI2 Empathetic Dialogues and Wizard of Wikipedia |
| guided_chosen_suggestions | Selected guided suggestions associated with the conversation |
---
### Splits
| Split | Examples | Size (bytes) | Description |
|:------|----------|--------------|-------------|
| Train | 4096 | 8990720 | Used for model training |
| Validation | 723 | 1601536 | Used for validation and tuning |
**Total dataset size:** 10592256 bytes
**Total number of dialogues:** 4819
---
## Loading This Version
```python
from datasets import load_dataset
dataset = load_dataset(
"TutorialGuide/blended-skill-talk-fixed"
)
print(dataset)
```
---
## References
Original Hugging Face dataset: https://huggingface.co/datasets/anezatra/blended-skill-talk
Smith, E. M., Williamson, M., Shuster, K., Weston, J., & Boureau, Y. L. (2020). Can You Put it All Together: Evaluating Conversational Agents' Ability to Blend Skills. *arXiv preprint arXiv:2004.08449*. ([https://arxiv.org/abs/2004.08449](https://arxiv.org/abs/2004.08449)) |