Dataset Viewer
task
stringclasses 6
values | input
stringclasses 10
values | expected_output
stringclasses 10
values | metadata
dict |
|---|---|---|---|
Convert casual writing style to formal while maintaining positive sentiment
|
OMG this new coffee shop is totally amazing! The lattes are super delicious and the staff is super friendly!
|
I am thoroughly impressed with this new coffee establishment. The lattes are exceptionally well-crafted, and the staff demonstrates remarkable hospitality.
|
{
"negation": false,
"sentiment": "positive",
"source_style": "casual",
"target_style": "formal"
}
|
Convert casual writing style to formal while maintaining positive sentiment
|
Just got promoted at work - couldn't be happier! My boss says I'm crushing it with the sales numbers.
|
I am delighted to announce my recent promotion. My supervisor has commended my outstanding performance in achieving exceptional sales metrics.
|
{
"negation": false,
"sentiment": "positive",
"source_style": "casual",
"target_style": "formal"
}
|
Convert casual writing style to formal while maintaining positive sentiment
|
Our vacation rental was the best! Awesome beach views and such a comfy bed - we're definitely coming back next summer!
|
Our vacation accommodation exceeded all expectations. The oceanfront vistas were magnificent, and the sleeping arrangements were most comfortable. We fully intend to return next summer.
|
{
"negation": false,
"sentiment": "positive",
"source_style": "casual",
"target_style": "formal"
}
|
Convert casual writing style to formal while maintaining positive sentiment
|
My bestie just got a cute little puppy and he's literally the sweetest thing ever! So playful and adorable!
|
My close friend has acquired a delightful young canine companion. The puppy exhibits exceptionally endearing and energetic qualities.
|
{
"negation": false,
"sentiment": "positive",
"source_style": "casual",
"target_style": "formal"
}
|
Convert casual writing style to formal while maintaining positive sentiment
|
Got my hands on the new phone and it's a total game-changer! The camera is insane and battery life is off the charts!
|
I have acquired the latest smartphone model, and it represents a significant technological advancement. The photographic capabilities are remarkable, and the battery performance is exceptional.
|
{
"negation": false,
"sentiment": "positive",
"source_style": "casual",
"target_style": "formal"
}
|
Transform this casual negative text into formal language while preserving the sentiment
|
This pizza place totally sucks. The food's always cold and the service is a joke!
|
This restaurant's quality is highly unsatisfactory. The food is consistently served at improper temperatures, and the service is thoroughly unprofessional.
|
{
"negation": false,
"sentiment": "negative",
"source_style": "casual",
"target_style": "formal"
}
|
Rewrite this casual complaint in formal language while maintaining the negative tone
|
My new phone's been nothing but trouble - keeps crashing every five minutes and the battery life is garbage.
|
The recently purchased mobile device has proven extremely problematic, experiencing frequent system failures and demonstrating severely inadequate battery performance.
|
{
"negation": false,
"sentiment": "negative",
"source_style": "casual",
"target_style": "formal"
}
|
Convert this casual negative feedback into formal language
|
Can't believe how badly they messed up my hair! Looks nothing like the pic I showed them and they charged me an arm and a leg too.
|
The hairstylist's work was entirely inconsistent with the reference image provided, resulting in a highly unsatisfactory outcome. Furthermore, their pricing was excessively expensive.
|
{
"negation": false,
"sentiment": "negative",
"source_style": "casual",
"target_style": "formal"
}
|
Transform this casual complaint into formal professional language
|
This apartment's a total dump. The neighbors are super loud and the landlord doesn't fix anything.
|
The residential unit is in severe disrepair. The adjacent tenants create excessive noise disturbances, and the property manager consistently neglects necessary maintenance.
|
{
"negation": false,
"sentiment": "negative",
"source_style": "casual",
"target_style": "formal"
}
|
Rewrite this casual negative review in formal language
|
The movie was a complete waste of time and money. The plot made zero sense and the acting was straight-up terrible.
|
The film proved to be an entirely disappointing investment of both time and financial resources. The narrative was incomprehensible, and the performances were remarkably substandard.
|
{
"negation": false,
"sentiment": "negative",
"source_style": "casual",
"target_style": "formal"
}
|
Convert casual writing style to formal while maintaining positive sentiment
|
OMG this new coffee shop is totally amazing! The lattes are super delicious and the staff is super friendly!
|
I am thoroughly impressed with this new coffee establishment. The lattes are exceptionally well-crafted, and the staff demonstrates remarkable hospitality.
|
{
"source_style": "casual",
"target_style": "formal",
"sentiment": "positive",
"negation": false
}
|
Convert casual writing style to formal while maintaining positive sentiment
|
Just got promoted at work - couldn't be happier! My boss says I'm crushing it with the sales numbers.
|
I am delighted to announce my recent promotion. My supervisor has commended my outstanding performance in achieving exceptional sales metrics.
|
{
"source_style": "casual",
"target_style": "formal",
"sentiment": "positive",
"negation": false
}
|
Convert casual writing style to formal while maintaining positive sentiment
|
Our vacation rental was the best! Awesome beach views and such a comfy bed - we're definitely coming back next summer!
|
Our vacation accommodation exceeded all expectations. The oceanfront vistas were magnificent, and the sleeping arrangements were most comfortable. We fully intend to return next summer.
|
{
"source_style": "casual",
"target_style": "formal",
"sentiment": "positive",
"negation": false
}
|
Convert casual writing style to formal while maintaining positive sentiment
|
My bestie just got a cute little puppy and he's literally the sweetest thing ever! So playful and adorable!
|
My close friend has acquired a delightful young canine companion. The puppy exhibits exceptionally endearing and energetic qualities.
|
{
"source_style": "casual",
"target_style": "formal",
"sentiment": "positive",
"negation": false
}
|
Convert casual writing style to formal while maintaining positive sentiment
|
Got my hands on the new phone and it's a total game-changer! The camera is insane and battery life is off the charts!
|
I have acquired the latest smartphone model, and it represents a significant technological advancement. The photographic capabilities are remarkable, and the battery performance is exceptional.
|
{
"source_style": "casual",
"target_style": "formal",
"sentiment": "positive",
"negation": false
}
|
Transform this casual negative text into formal language while preserving the sentiment
|
This pizza place totally sucks. The food's always cold and the service is a joke!
|
This restaurant's quality is highly unsatisfactory. The food is consistently served at improper temperatures, and the service is thoroughly unprofessional.
|
{
"source_style": "casual",
"target_style": "formal",
"sentiment": "negative",
"negation": false
}
|
Rewrite this casual complaint in formal language while maintaining the negative tone
|
My new phone's been nothing but trouble - keeps crashing every five minutes and the battery life is garbage.
|
The recently purchased mobile device has proven extremely problematic, experiencing frequent system failures and demonstrating severely inadequate battery performance.
|
{
"source_style": "casual",
"target_style": "formal",
"sentiment": "negative",
"negation": false
}
|
Convert this casual negative feedback into formal language
|
Can't believe how badly they messed up my hair! Looks nothing like the pic I showed them and they charged me an arm and a leg too.
|
The hairstylist's work was entirely inconsistent with the reference image provided, resulting in a highly unsatisfactory outcome. Furthermore, their pricing was excessively expensive.
|
{
"source_style": "casual",
"target_style": "formal",
"sentiment": "negative",
"negation": false
}
|
Transform this casual complaint into formal professional language
|
This apartment's a total dump. The neighbors are super loud and the landlord doesn't fix anything.
|
The residential unit is in severe disrepair. The adjacent tenants create excessive noise disturbances, and the property manager consistently neglects necessary maintenance.
|
{
"source_style": "casual",
"target_style": "formal",
"sentiment": "negative",
"negation": false
}
|
Rewrite this casual negative review in formal language
|
The movie was a complete waste of time and money. The plot made zero sense and the acting was straight-up terrible.
|
The film proved to be an entirely disappointing investment of both time and financial resources. The narrative was incomprehensible, and the performances were remarkably substandard.
|
{
"source_style": "casual",
"target_style": "formal",
"sentiment": "negative",
"negation": false
}
|
YAML Metadata
Warning:
The task_categories "text2text-generation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
Fine-tuning Dataset for Style Transfer
This dataset was generated for fine-tuning language models on style transfer tasks.
Dataset Details
- Session ID: session_4c46dab1
- Repository: andrewmonostate/synthetic-1755993430710
- Number of Examples: 10
- Format: JSONL (JSON Lines)
- Generated: 2025-08-23T23:57:35.887776
Dataset Structure
Each example contains:
task: The instruction for the modelinput: The source text to be transformedexpected_output: The target text after transformationmetadata: Additional information (source_style, target_style, sentiment, etc.)
Sample Examples
[
{
"task": "Convert casual writing style to formal while maintaining positive sentiment",
"input": "OMG this new coffee shop is totally amazing! The lattes are super delicious and the staff is super friendly!",
"expected_output": "I am thoroughly impressed with this new coffee establishment. The lattes are exceptionally well-crafted, and the staff demonstrates remarkable hospitality.",
"metadata": {
"source_style": "casual",
"target_style": "formal",
"sentiment": "positive",
"negation": false
}
},
{
"task": "Convert casual writing style to formal while maintaining positive sentiment",
"input": "Just got promoted at work - couldn't be happier! My boss says I'm crushing it with the sales numbers.",
"expected_output": "I am delighted to announce my recent promotion. My supervisor has commended my outstanding performance in achieving exceptional sales metrics.",
"metadata": {
"source_style": "casual",
"target_style": "formal",
"sentiment": "positive",
"negation": false
}
}
]
Usage
This dataset is designed for fine-tuning language models to perform style transfer tasks.
Loading the Dataset
import json
# Load from JSONL file
with open('data/finetune_dataset.jsonl', 'r') as f:
examples = [json.loads(line) for line in f]
# Or load from JSON file
with open('data/finetune_dataset.json', 'r') as f:
examples = json.load(f)
Fine-tuning Example
# Format for training
training_data = []
for example in examples:
training_data.append({
"instruction": example["task"],
"input": example["input"],
"output": example["expected_output"]
})
Generated by Dataset Director
This dataset was created using the Dataset Director API with AI-powered generation.
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