Datasets:

bihungba1101
/

essay-grm-range-prelabeled

essay_type stringclasses 4 values	question stringlengths 23 1.19k	essay_content stringlengths 0 6.44k	grammar_range_analysis dict	llm_grm_range_feedback stringlengths 330 750	llm_grm_range_feedback__reasoning_content stringlengths 3.5k 19k
task-2	Today different types of robots are being developed which can serve as companions and workers to help at work and at home. Is this a positive or negative development?	Many robots have been developed to work in plants and at home. From my perspective, this development may result in pleasant effects on both task performance and safety. Replacing people by robots in working can make an improvement in task performance. Robots can work in multiple hours and have no breaks. Unlike humans...	{ "sentence": [ { "original sentence": "Many robots have been developed to work in plants and at home.", "present grammar structures": [ { "cefr": null, "context in sentence": "have been developed", "structure": "voices: passive" }, { "ce...	A wide range of structures is flexibly and accurately used Analysis: The NLP data reveals a broad spectrum of grammatical structures spanning from A1 to C2, including passives with modals, relative and conditional clauses, non-finite clauses, and various syntactic fronting techniques. These structures are deployed freq...	Here's a thinking process: 1. Analyze the User Input: - Task: Evaluate grammar range and flexibility based primarily on the provided NLP data. - Critical Rule: RANGE OVER ACCURACY. Focus on variety, complexity, and frequency of structures. Do NOT penalize for minor errors unless they break the s...
task-2	In many countries, more and more couples are choosing to have no children. What are the reasons for this trend? Is this a positive or negative development?	Nowadays, there are more and more families making the decision that they will not have children. While many people argue that this trend is necessary to control the population balanced, I believe that government should intercede and encourge youngsters to give birth. There are several reasons that adults don't want to...	{ "sentence": [ { "original sentence": "Nowadays, there are more and more families making the decision that they will not have children.", "present grammar structures": [ { "cefr": null, "context in sentence": "are", "structure": "voices: active" }, ...	A variety of structures is used with SOME flexibility Analysis: The NLP data reveals a broad distribution of grammatical features spanning from A1 to C1, encompassing simple, compound, and complex sentence structures. The essay consistently employs advanced syntactic devices such as relative clauses, purpose clauses, m...	Here's a thinking process: 1. Analyze User Input: - Task: Evaluate grammar range and flexibility based primarily on the provided NLP data. - Critical Rule: RANGE OVER ACCURACY. Focus on variety, complexity, frequency. Do NOT penalize for minor errors unless they make structures unrecognizable. ...
task-2	Some experts suggest that all cyclists should have to pass a test before being allowed to ride a bike on public roads. Do you agree or disagree?	Some people said that people should pass the cycle test before driving on the road. In my opinion I partly agree with this proposal for several reasons. Having a licence before cycling on the public roads can bring a lot of benefits for both social and personal. Firstly, it can be more safety for the cyclists when dri...	{ "sentence": [ { "original sentence": "Some people said that people should pass the cycle test before driving on the road.", "present grammar structures": [ { "cefr": null, "context in sentence": "said", "structure": "voices: active" }, { ...	A variety of structures is used with SOME flexibility Analysis: The NLP data reveals a broad CEFR spread (A1–C2) and a highly diverse array of syntactic patterns, including modality, non-finite clauses, relative clauses, conditionals, linking verbs, and focus constructions. The essay consistently employs complex and co...	Here's a thinking process: 1. Analyze the User Request: - Task: Evaluate the grammar range and flexibility of the essay based primarily on the provided NLP data. - CRITICAL RULE: RANGE OVER ACCURACY. Focus on variety, complexity, and frequency of grammatical structures. Do NOT penalize for minor e...
task-1	The charts below show the main reasons for study among students of different age groups and the amount of support they received from employers. Summarize the information by selecting and reporting the main features, and make comparisons where relevant.	The two bar charts demonstrate why residents at different ages learn and how much time and fees they are supported by their managers. Overall, it can be clearly seen that young people often spend their time studying to find jobs; meanwhile, the older citizens tend to learn by interest. Besides, the older people get, t...	{ "sentence": [ { "original sentence": "The two bar charts demonstrate why residents at different ages learn and how much time and fees they are supported by their managers.", "present grammar structures": [ { "cefr": null, "context in sentence": "are supported", ...	A wide range of structures is flexibly and accurately used Analysis: The NLP analysis identifies a broad spectrum of grammatical structures spanning CEFR levels from A1 to C1, including complex fronting, non-finite clauses, comparative/superlative forms, and multiple types of subordinate and relative clauses. This dive...	Here's a thinking process: 1. Analyze User Input: - Task: Evaluate the grammar range and flexibility of the essay based primarily on the provided Grammar Range analysis (NLP) data. - Critical Rule: RANGE OVER ACCURACY. Focus strictly on variety, complexity, and frequency of structures. Do NOT pena...
task-2	Throughout history, people dream to live in a perfect society while they haven't agreed how the ideal society would be like. What is the most important element you think to make a perfect society? What do people do to achieve an ideal society?	Throughout history, humans have aspired to create a flawless society, yet there is little consensus on what such a society should consist of. I believe that justice and equality are the most essential factors of a perfect society, as they ensure fairness, social harmony, and trust. People work towards this ideal by str...	{ "sentence": [ { "original sentence": "Throughout history, humans have aspired to create a flawless society, yet there is little consensus on what such a society should consist of.", "present grammar structures": [ { "cefr": null, "context in sentence": "have aspired", ...	A wide range of structures is flexibly and accurately used Analysis: The NLP data reveals a comprehensive mix of sentence structures (simple, complex, compound, and compound-complex) alongside grammatical features spanning CEFR levels from A1 to C2. The identification of diverse constructions, such as passive voice, re...	Here's a thinking process: 1. Analyze User Input: - Task: Evaluate the grammar range and flexibility of the essay based primarily on the provided Grammar Range analysis (NLP) data. - Critical Rule: RANGE OVER ACCURACY. Focus strictly on variety, complexity, and frequency of grammatical structures ...
task-1	The graph shows the percentage of UK adolescents following a vegetarian diet. Summarise the information by selecting and reporting the main features.	The given line graph delineates the proportion of UK teenagers who are on a vegetarian diet. Overall, it can be observed there was a significant fluctuation in the initial period and then the trajectory was more steady. From the beginning in 1960 to 1980, the figure for vegetarian diet adolescents rose sharply by 16% (...	{ "sentence": [ { "original sentence": "The given line graph delineates the proportion of UK teenagers who are on a vegetarian diet.", "present grammar structures": [ { "cefr": null, "context in sentence": "delineates", "structure": "voices: active" }, ...	A variety of structures is used with SOME flexibility Analysis: The NLP data identifies a broad CEFR spread (A1 to C2) across the essay, including relative clauses, passive constructions, non-finite clauses, modals, and fronting devices. The text alternates between simple, complex, and compound-complex sentences, demon...	Here's a thinking process: 1. Analyze the User Request: - Task: Evaluate grammar range and flexibility based primarily on the provided NLP data. - Critical Rule: RANGE OVER ACCURACY. Focus on variety, complexity, and frequency of structures. Do NOT penalize for minor errors unless they obscure the...
task-2	"Write about the following topic:\n\n\nStudying with a group of students in a classroom is more bene(...TRUNCATED)	"After the Covid-19 pandemic, schools around the world have two ways of teaching to choose: traditio(...TRUNCATED)	{"sentence":[{"original sentence":"After the Covid-19 pandemic, schools around the world have two wa(...TRUNCATED)	"A wide range of structures is flexibly and accurately used\nAnalysis: The NLP data confirms that ev(...TRUNCATED)	"Here's a thinking process:\n\n1. Analyze User Input:\n - Task: Evaluate the grammar ran(...TRUNCATED)
task-2	"Topic: Should university students be free to choose what they want to study, or should they follow (...TRUNCATED)	"People have different opinions about the extent to which universities should control students' acad(...TRUNCATED)	{"sentence":[{"original sentence":"People have different opinions about the extent to which universi(...TRUNCATED)	"A wide range of structures is flexibly and accurately used\nAnalysis: The NLP data confirms a high (...TRUNCATED)	"Here's a thinking process:\n\n1. Analyze User Input:\n - Task: Evaluate the grammar rang(...TRUNCATED)
task-2	"Today different types of robots are being developed which can serve as companions and workers to he(...TRUNCATED)	"Many robots have been developed to work in plants and at home. From my perspective, this developmen(...TRUNCATED)	{"sentence":[{"original sentence":"Many robots have been developed to work in plants and at home.","(...TRUNCATED)	"A variety of structures is used with SOME flexibility\nAnalysis: The NLP data reveals a broad spect(...TRUNCATED)	"Here's a thinking process:\n\n1. Analyze User Input:\n - Task: Evaluate grammar range an(...TRUNCATED)
task-1	"The tables give information about the temperatures and hours of daylight in London and Sydney durin(...TRUNCATED)	"The diagrams given illustrates the temperatures and the amount of daylight time in London and Sydne(...TRUNCATED)	{"sentence":[{"original sentence":"The diagrams given illustrates the temperatures and the amount of(...TRUNCATED)	"A variety of structures is used with SOME flexibility\nAnalysis: The NLP data demonstrates a delibe(...TRUNCATED)	"Here's a thinking process:\n\n1. Analyze User Input:\n - Task: Evaluate grammar range an(...TRUNCATED)

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Essay-Grm-Range-Prelabeled

_{Made with ❤️ using 🦥 Unsloth Studio}

Essay Grm Range SFT contains 500 generated records.

🚀 Quick Start

from datasets import load_dataset

# Load the main dataset
dataset = load_dataset("bihungba1101/essay-grm-range-prelabeled", "data", split="train")
df = dataset.to_pandas()

📊 Dataset Summary

📈 Records: 500
📋 Columns: 6

📋 Schema & Statistics

Column	Type	Column Type	Unique (%)	Null (%)	Details
`llm_grm_range_feedback`	`string`	llm-text	500 (100.0%)	0 (0.0%)	Tokens: 104 out / 4210 in

⚙️ Generation Details

Generated with 12 column configuration(s):

llm-text: 1 column(s)
seed-dataset: 11 column(s)

📄 Full configuration available in builder_config.json and detailed metadata in metadata.json.

📚 Citation

If you use Data Designer in your work, please cite the project as follows:

@misc{nemo-data-designer,
  author = {The NeMo Data Designer Team, NVIDIA},
  title = {NeMo Data Designer: A framework for generating synthetic data from scratch or based on your own seed data},
  howpublished = {\url{https://github.com/NVIDIA-NeMo/DataDesigner}},
  year = 2026,
  note = {GitHub Repository},
}

💡 About NeMo Data Designer

NeMo Data Designer is a general framework for generating high-quality synthetic data that goes beyond simple LLM prompting. It provides:

Diverse data generation using statistical samplers, LLMs, or existing seed datasets
Relationship control between fields with dependency-aware generation
Quality validation with built-in Python, SQL, and custom local and remote validators
LLM-as-a-judge scoring for quality assessment
Fast iteration with preview mode before full-scale generation

For more information, visit: https://github.com/NVIDIA-NeMo/DataDesigner (pip install data-designer)

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