task
stringclasses 6
values | input
stringclasses 10
values | expected_output
stringclasses 10
values | metadata
dict |
|---|---|---|---|
Convert casual positive text to formal while maintaining the same meaning and sentiment
|
OMG this new coffee shop is amazing! The lattes are super tasty and the staff is super friendly.
|
I am thoroughly impressed with this new coffee establishment. The lattes are exceptionally flavorful, and the staff demonstrates remarkable hospitality.
|
{
"negation": false,
"sentiment": "positive",
"source_style": "casual",
"target_style": "formal"
}
|
Convert casual positive text to formal while maintaining the same meaning and sentiment
|
Just got a promotion at work - gonna celebrate with my besties tonight! Can't wait!
|
I am delighted to announce my recent professional advancement. I look forward to commemorating this achievement with my closest friends this evening.
|
{
"negation": false,
"sentiment": "positive",
"source_style": "casual",
"target_style": "formal"
}
|
Convert casual positive text to formal while maintaining the same meaning and sentiment
|
My new workout routine is totally crushing it! Already feeling stronger and more energized after just 2 weeks.
|
My new exercise regimen has proven remarkably effective. I have experienced notable improvements in strength and vitality after merely two weeks of implementation.
|
{
"negation": false,
"sentiment": "positive",
"source_style": "casual",
"target_style": "formal"
}
|
Convert casual positive text to formal while maintaining the same meaning and sentiment
|
Our beach vacation was the best ever! Perfect weather, awesome waves, and we found the cutest little seafood spot.
|
Our coastal holiday exceeded all expectations. The weather conditions were ideal, the ocean conditions were excellent, and we discovered a charming establishment specializing in seafood cuisine.
|
{
"negation": false,
"sentiment": "positive",
"source_style": "casual",
"target_style": "formal"
}
|
Convert casual positive text to formal while maintaining the same meaning and sentiment
|
The new neighborhood park is so cool! They've got great playground equipment and tons of shady spots for picnics.
|
The recently developed community park is most impressive. It features high-quality recreational equipment and abundant shaded areas suitable for outdoor dining.
|
{
"negation": false,
"sentiment": "positive",
"source_style": "casual",
"target_style": "formal"
}
|
Convert casual negative feedback to formal language
|
This restaurant's service totally sucked. The waiter was super rude and our food came out cold.
|
The service at this establishment was extremely unsatisfactory. The server demonstrated unprofessional behavior, and the dishes were served at an unacceptable temperature.
|
{
"negation": false,
"sentiment": "negative",
"source_style": "casual",
"target_style": "formal"
}
|
Transform casual complaint about technology to formal language
|
My new phone's been acting up like crazy and the battery life is garbage. What a waste of money!
|
The functionality of my recently purchased mobile device has been severely compromised, and its battery performance is highly inadequate. The investment has proven to be quite disappointing.
|
{
"negation": false,
"sentiment": "negative",
"source_style": "casual",
"target_style": "formal"
}
|
Convert casual criticism of customer service to formal language
|
Can't believe how awful their support team is! They left me hanging for days and didn't fix anything.
|
The customer service department's performance was entirely unsatisfactory. They failed to provide timely responses and were unable to resolve the issues at hand.
|
{
"negation": false,
"sentiment": "negative",
"source_style": "casual",
"target_style": "formal"
}
|
Transform casual apartment complaint to formal language
|
This apartment's a total dump. The AC's broken half the time and the neighbors are super noisy.
|
The residential unit is in an unacceptable state of disrepair. The air conditioning system experiences frequent malfunctions, and the adjacent residents generate excessive noise disturbances.
|
{
"negation": false,
"sentiment": "negative",
"source_style": "casual",
"target_style": "formal"
}
|
Convert casual job dissatisfaction to formal language
|
My boss is the worst! Always dumping extra work on me at the last minute and never giving credit.
|
My supervisor demonstrates poor management practices, consistently assigning additional responsibilities without adequate notice and failing to provide appropriate recognition for completed work.
|
{
"negation": false,
"sentiment": "negative",
"source_style": "casual",
"target_style": "formal"
}
|
Convert casual positive text to formal while maintaining the same meaning and sentiment
|
OMG this new coffee shop is amazing! The lattes are super tasty and the staff is super friendly.
|
I am thoroughly impressed with this new coffee establishment. The lattes are exceptionally flavorful, and the staff demonstrates remarkable hospitality.
|
{
"negation": false,
"sentiment": "positive",
"source_style": "casual",
"target_style": "formal"
}
|
Convert casual positive text to formal while maintaining the same meaning and sentiment
|
Just got a promotion at work - gonna celebrate with my besties tonight! Can't wait!
|
I am delighted to announce my recent professional advancement. I look forward to commemorating this achievement with my closest friends this evening.
|
{
"negation": false,
"sentiment": "positive",
"source_style": "casual",
"target_style": "formal"
}
|
Convert casual positive text to formal while maintaining the same meaning and sentiment
|
My new workout routine is totally crushing it! Already feeling stronger and more energized after just 2 weeks.
|
My new exercise regimen has proven remarkably effective. I have experienced notable improvements in strength and vitality after merely two weeks of implementation.
|
{
"negation": false,
"sentiment": "positive",
"source_style": "casual",
"target_style": "formal"
}
|
Convert casual positive text to formal while maintaining the same meaning and sentiment
|
Our beach vacation was the best ever! Perfect weather, awesome waves, and we found the cutest little seafood spot.
|
Our coastal holiday exceeded all expectations. The weather conditions were ideal, the ocean conditions were excellent, and we discovered a charming establishment specializing in seafood cuisine.
|
{
"negation": false,
"sentiment": "positive",
"source_style": "casual",
"target_style": "formal"
}
|
Convert casual positive text to formal while maintaining the same meaning and sentiment
|
The new neighborhood park is so cool! They've got great playground equipment and tons of shady spots for picnics.
|
The recently developed community park is most impressive. It features high-quality recreational equipment and abundant shaded areas suitable for outdoor dining.
|
{
"negation": false,
"sentiment": "positive",
"source_style": "casual",
"target_style": "formal"
}
|
Convert casual negative feedback to formal language
|
This restaurant's service totally sucked. The waiter was super rude and our food came out cold.
|
The service at this establishment was extremely unsatisfactory. The server demonstrated unprofessional behavior, and the dishes were served at an unacceptable temperature.
|
{
"negation": false,
"sentiment": "negative",
"source_style": "casual",
"target_style": "formal"
}
|
Transform casual complaint about technology to formal language
|
My new phone's been acting up like crazy and the battery life is garbage. What a waste of money!
|
The functionality of my recently purchased mobile device has been severely compromised, and its battery performance is highly inadequate. The investment has proven to be quite disappointing.
|
{
"negation": false,
"sentiment": "negative",
"source_style": "casual",
"target_style": "formal"
}
|
Convert casual criticism of customer service to formal language
|
Can't believe how awful their support team is! They left me hanging for days and didn't fix anything.
|
The customer service department's performance was entirely unsatisfactory. They failed to provide timely responses and were unable to resolve the issues at hand.
|
{
"negation": false,
"sentiment": "negative",
"source_style": "casual",
"target_style": "formal"
}
|
Transform casual apartment complaint to formal language
|
This apartment's a total dump. The AC's broken half the time and the neighbors are super noisy.
|
The residential unit is in an unacceptable state of disrepair. The air conditioning system experiences frequent malfunctions, and the adjacent residents generate excessive noise disturbances.
|
{
"negation": false,
"sentiment": "negative",
"source_style": "casual",
"target_style": "formal"
}
|
Convert casual job dissatisfaction to formal language
|
My boss is the worst! Always dumping extra work on me at the last minute and never giving credit.
|
My supervisor demonstrates poor management practices, consistently assigning additional responsibilities without adequate notice and failing to provide appropriate recognition for completed work.
|
{
"negation": false,
"sentiment": "negative",
"source_style": "casual",
"target_style": "formal"
}
|
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_58ff2ad8
- Repository: andrewmonostate/synthetic-1755995002952
- Number of Examples: 10
- Format: JSONL (JSON Lines)
- Generated: 2025-08-24T00:23:46.653025
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 positive text to formal while maintaining the same meaning and sentiment",
"input": "OMG this new coffee shop is amazing! The lattes are super tasty and the staff is super friendly.",
"expected_output": "I am thoroughly impressed with this new coffee establishment. The lattes are exceptionally flavorful, and the staff demonstrates remarkable hospitality.",
"metadata": {
"source_style": "casual",
"target_style": "formal",
"sentiment": "positive",
"negation": false
}
},
{
"task": "Convert casual positive text to formal while maintaining the same meaning and sentiment",
"input": "Just got a promotion at work - gonna celebrate with my besties tonight! Can't wait!",
"expected_output": "I am delighted to announce my recent professional advancement. I look forward to commemorating this achievement with my closest friends this evening.",
"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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