
## Dataset Summary

The Arithmetic Operations Dataset is a synteticly generated collection of mathematical arithmetic operations for practice and evaluation purposes. It contains a total of 624,800 arithmetic operations, consisting of 568,000 addition operations and 56,800 subtraction operations. The dataset is designed to provide a range of arithmetic problems to train and evaluate language models for solving simple arithmetic (mostly addition, the others TBA) problems.

## Dataset Structure

The dataset is organized into two main categories: addition and subtraction. Each category contains a set of arithmetic operations in separate files (`addition.json`) and (`subtraction.json`), and the file (`dataset.json`) provides combined data from both.

### Data Instances

```bash
{
    "instruction": "What is the answer to 373486002216116154 + 339369?",
    "input": "373486002216116154 + 339369",
    "output": "373486002216116154 + 339369 = 373486002216455523",
    "answer": "373486002216455523"
},
{
    "instruction": "9916607491627649 minus 581954",
    "input": "9916607491627649 - 581954",
    "output": "9916607491627649 - 581954 = 9916607491045695",
    "answer": "9916607491045695"
},

```

### Data Fields
The files share the same structure and have 4 fields:
- `instruction`: Human instructions are generated by inserting arithmetic expressions into randomly selected templates and incorporating natural language variations. These instructions are intended to serve as prompts for instruction-finetuning, providing input for training the model.
- `input`: A randomly generated arithmetic expression, that can serve as a substitute for the 'instruction' component during training, allowing a specific focus on arithmetic operations while minimizing the impact of natural language.
- `output`: the target output for the model to learn.
- `answer`: direct numerical answer to the arithmetic task. It can be used to test learnability of various sub-tasks.

## Contact

For any questions or inquiries regarding this dataset, please contact xufana@yandex.ru.

task_categories:text-generation size_categories:100K<n<1M language:en license:apache-2.0 arithmetics region:us
{"language": ["en"], "license": "apache-2.0", "size_categories": ["100K<n<1M"], "task_categories": ["text-generation"], "pretty_name": "RedPajama Arithmetics", "tags": ["arithmetics"]}
TAGS
#task_categories-text-generation #size_categories-100K<n<1M #language-English #license-apache-2.0 #arithmetics #region-us 


## Dataset Summary

The Arithmetic Operations Dataset is a synteticly generated collection of mathematical arithmetic operations for practice and evaluation purposes. It contains a total of 624,800 arithmetic operations, consisting of 568,000 addition operations and 56,800 subtraction operations. The dataset is designed to provide a range of arithmetic problems to train and evaluate language models for solving simple arithmetic (mostly addition, the others TBA) problems.

## Dataset Structure

The dataset is organized into two main categories: addition and subtraction. Each category contains a set of arithmetic operations in separate files ('URL') and ('URL'), and the file ('URL') provides combined data from both.

### Data Instances



### Data Fields
The files share the same structure and have 4 fields:
- 'instruction': Human instructions are generated by inserting arithmetic expressions into randomly selected templates and incorporating natural language variations. These instructions are intended to serve as prompts for instruction-finetuning, providing input for training the model.
- 'input': A randomly generated arithmetic expression, that can serve as a substitute for the 'instruction' component during training, allowing a specific focus on arithmetic operations while minimizing the impact of natural language.
- 'output': the target output for the model to learn.
- 'answer': direct numerical answer to the arithmetic task. It can be used to test learnability of various sub-tasks.

## Contact

For any questions or inquiries regarding this dataset, please contact xufana@URL.

## Dataset Summary

The Arithmetic Operations Dataset is a synteticly generated collection of mathematical arithmetic operations for practice and evaluation purposes. It contains a total of 624,800 arithmetic operations, consisting of 568,000 addition operations and 56,800 subtraction operations. The dataset is designed to provide a range of arithmetic problems to train and evaluate language models for solving simple arithmetic (mostly addition, the others TBA) problems. ## Dataset Structure

The dataset is organized into two main categories: addition and subtraction. Each category contains a set of arithmetic operations in separate files ('URL') and ('URL'), and the file ('URL') provides combined data from both. ### Data Instances ### Data Fields
The files share the same structure and have 4 fields:
- 'instruction': Human instructions are generated by inserting arithmetic expressions into randomly selected templates and incorporating natural language variations. These instructions are intended to serve as prompts for instruction-finetuning, providing input for training the model.
- 'input': A randomly generated arithmetic expression, that can serve as a substitute for the 'instruction' component during training, allowing a specific focus on arithmetic operations while minimizing the impact of natural language.
- 'output': the target output for the model to learn.
- 'answer': direct numerical answer to the arithmetic task. It can be used to test learnability of various sub-tasks. ## Contact

For any questions or inquiries regarding this dataset, please contact xufana@URL.
TAGS
#task_categories-text-generation #size_categories-100K<n<1M #language-English #license-apache-2.0 #arithmetics #region-us 
 ## Dataset Summary

The Arithmetic Operations Dataset is a synteticly generated collection of mathematical arithmetic operations for practice and evaluation purposes. It contains a total of 624,800 arithmetic operations, consisting of 568,000 addition operations and 56,800 subtraction operations. The dataset is designed to provide a range of arithmetic problems to train and evaluate language models for solving simple arithmetic (mostly addition, the others TBA) problems. ## Dataset Structure

The dataset is organized into two main categories: addition and subtraction. Each category contains a set of arithmetic operations in separate files ('URL') and ('URL'), and the file ('URL') provides combined data from both. ### Data Instances ### Data Fields
The files share the same structure and have 4 fields:
- 'instruction': Human instructions are generated by inserting arithmetic expressions into randomly selected templates and incorporating natural language variations. These instructions are intended to serve as prompts for instruction-finetuning, providing input for training the model.
- 'input': A randomly generated arithmetic expression, that can serve as a substitute for the 'instruction' component during training, allowing a specific focus on arithmetic operations while minimizing the impact of natural language.
- 'output': the target output for the model to learn.
- 'answer': direct numerical answer to the arithmetic task. It can be used to test learnability of various sub-tasks. ## Contact

For any questions or inquiries regarding this dataset, please contact xufana@URL.
passage: TAGS
#task_categories-text-generation #size_categories-100K<n<1M #language-English #license-apache-2.0 #arithmetics #region-us 
## Dataset Summary

The Arithmetic Operations Dataset is a synteticly generated collection of mathematical arithmetic operations for practice and evaluation purposes. It contains a total of 624,800 arithmetic operations, consisting of 568,000 addition operations and 56,800 subtraction operations. The dataset is designed to provide a range of arithmetic problems to train and evaluate language models for solving simple arithmetic (mostly addition, the others TBA) problems.## Dataset Structure

The dataset is organized into two main categories: addition and subtraction. Each category contains a set of arithmetic operations in separate files ('URL') and ('URL'), and the file ('URL') provides combined data from both.### Data Instances### Data Fields
The files share the same structure and have 4 fields:
- 'instruction': Human instructions are generated by inserting arithmetic expressions into randomly selected templates and incorporating natural language variations. These instructions are intended to serve as prompts for instruction-finetuning, providing input for training the model.
- 'input': A randomly generated arithmetic expression, that can serve as a substitute for the 'instruction' component during training, allowing a specific focus on arithmetic operations while minimizing the impact of natural language.
- 'output': the target output for the model to learn.
- 'answer': direct numerical answer to the arithmetic task. It can be used to test learnability of various sub-tasks.## Contact

For any questions or inquiries regarding this dataset, please contact xufana@URL.