Datasets:
dataset_info:
features:
- name: instruction
dtype: string
- name: context
dtype: string
- name: response
dtype: string
- name: category
dtype: string
- name: instruction_original_en
dtype: string
- name: context_original_en
dtype: string
- name: response_original_en
dtype: string
- name: id
dtype: int64
splits:
- name: de
num_bytes: 25985140
num_examples: 15015
- name: es
num_bytes: 25902709
num_examples: 15015
- name: fr
num_bytes: 26704314
num_examples: 15015
- name: en
num_bytes: 24477565
num_examples: 15015
download_size: 65801341
dataset_size: 103069728
license: cc-by-sa-3.0
task_categories:
- text-generation
- text2text-generation
language:
- es
- de
- fr
tags:
- machine-translated
- instruction-following
pretty_name: Databrick Dolly Instructions Multilingual
size_categories:
- 10K<n<100K
Dataset Card for "databricks-dolly-15k-multilingual"
Table of Contents
- Table of Contents
- Dataset Description
- Dataset Structure
- Dataset Creation
- Considerations for Using the Data
- Additional Information
Dataset Description
- Homepage: https://huggingface.co/datasets/argilla/databricks-dolly-15k-multilingual/
- Repository: https://huggingface.co/datasets/argilla/databricks-dolly-15k-multilingual/
- Paper:
- Leaderboard:
- Point of Contact: contact@argilla.io, https://github.com/argilla-io/argilla
Dataset Summary
This collection of datasets are machine-translated (and soon curated) versions of the databricks-dolly-15k
dataset originally created by Databricks, Inc. in 2023.
The goal is to give practitioners a starting point for training open-source instruction-following models beyond English. However, as the translation quality will not be perfect, we highly recommend dedicating time to curate and fix translation issues. Below we explain how to load the datasets into Argilla for data curation and fixing. Additionally, we'll be improving the datasets made available here, with the help of different communities.
We highly recommend dataset curation beyond proof-of-concept experiments.
If you want to browse and curate your dataset with Argilla, you can:
- Duplicate this Space. IMPORTANT: The Space's Visibility need to be Public, but you can setup your own password and API KEYS following this guide.
- Setup two secrets:
HF_TOKEN
andLANG
for indicating the language split - Login with
admin
/12345678
and start browsing and labelling. - Start labeling. Every 5 min the validations will be stored on a Hub dataset in your personal HF space.
- Please get in touch to contribute fixes and improvements to the source datasets.
There's one split per language:
from datasets import load_dataset
# loads all splits
load_dataset("argilla/databricks-dolly-15k-multilingual")
# loads Spanish splits
load_dataset("argilla/databricks-dolly-15k-multilingual", split="es")
Supported Tasks and Leaderboards
As described in the README of the original dataset, this dataset can be used for:
- Training LLMs
- Synthetic Data Generation
- Data Augmentation
Languages
Currently: es
, fr
, de
Join Argilla Slack community if you want to help us include other languages.
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
There's one split per language:
from datasets import load_dataset
# loads all splits
load_dataset("argilla/databricks-dolly-15k-multilingual")
# loads Spanish splits
load_dataset("argilla/databricks-dolly-15k-multilingual", split="es")
Dataset Creation
These datasets have been translated using the DeepL API from the original English dataset between the 13th and 14th of April
Curation Logbook
- 28/04/23: Removed references from Wikipedia copy pastes for 8113 rows. Applied to context and response fields with the following regex:
r'\[[\w]+\]'
Source Data
Initial Data Collection and Normalization
Refer to the original dataset for more information.
Who are the source language producers?
[More Information Needed]
Annotations
Annotations are planned but not performed yet.
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
This dataset can be used for any purpose, whether academic or commercial, under the terms of the Creative Commons Attribution-ShareAlike 3.0 Unported License.
Original dataset Owner: Databricks, Inc.
Citation Information
[More Information Needed]