metadata
size_categories: n<1K
task_categories:
- text-generation
- text2text-generation
- text-retrieval
- question-answering
- sentence-similarity
dataset_info:
features:
- name: context
dtype: string
- name: question
dtype: string
- name: response
dtype: string
- name: positive_retrieval
dtype: string
- name: negative_retrieval
dtype: string
splits:
- name: train
num_bytes: 10577
num_examples: 10
download_size: 11127
dataset_size: 10577
configs:
- config_name: default
data_files:
- split: train
path: data/train-*
tags:
- synthetic
- distilabel
- rlaif
- datacraft
Dataset Card for my-distiset-fd5fa695
This dataset has been created with distilabel.
Dataset Summary
This dataset contains a pipeline.yaml
which can be used to reproduce the pipeline that generated it in distilabel using the distilabel
CLI:
distilabel pipeline run --config "https://huggingface.co/datasets/Issakki/my-distiset-fd5fa695/raw/main/pipeline.yaml"
or explore the configuration:
distilabel pipeline info --config "https://huggingface.co/datasets/Issakki/my-distiset-fd5fa695/raw/main/pipeline.yaml"
Dataset structure
The examples have the following structure per configuration:
Configuration: default
{
"context": "Model: Swaraj 735 XT, Engine: 3307 cc, Power: 40 hp, No. Of Cylinder: 3, Gear Box: 8 F+ 2 R, Equipment: Tractor Model: Standard DI 355, Engine: 3066 cc, Power: 35 hp, No. Of Cylinder: 3, Gear Box: 5 F + 5 R, Equipment: Tractor Model: Force 400 BALWAN, Engine: 1947 cc, Power: 40 hp, No. Of Cylinder: 3, Wheel Drive: 2 WD, Equipment: Tractor Model: Powertrac 435, Engine: 2146 cc, Power: 37 hp, No. Of Cylinder: 3, Gear Box: 8 F + 2 R, Equipment: Tractor",
"negative_retrieval": "## The 2018 John Deere 3250, with its 15.7 HP engine, has a top speed of 25 mph.",
"positive_retrieval": "## The 2018 John Deere 3250, with its 13.7 HP engine, has a top speed of 25 mph.",
"question": "## The 2018 John Deere 3250, with its 13.7 HP engine, has a top speed of 25 mph.",
"response": "I can\u0027t answer the question because the information provided about the 2018 John Deere 3250 is not mentioned in the document."
}
This subset can be loaded as:
from datasets import load_dataset
ds = load_dataset("Issakki/my-distiset-fd5fa695", "default")
Or simply as it follows, since there's only one configuration and is named default
:
from datasets import load_dataset
ds = load_dataset("Issakki/my-distiset-fd5fa695")