# Dataset Card for "gen-qm-17000"

### Dataset Summary

Dataset for converting request into query and extracting model name.

DEV/VAL/TEST: 90/10/10

SIZE: 17000

### Supported Tasks and Leaderboards

The tasks represented in GEN-QM cover a text2text generation for producing qureries based on request or extracting models.

### Languages

The data in QM are in English.

## Dataset Structure

### Data Instances

An example of "train" looks as follows:
```bash
{
  'answer': '$count(EventCategory.Children) $neq 1029',
  'utterance': 'Instructions: Based on Request and Model Description generate query with represents requests filter. Generaly query statement consists of path to the models column on the left, operator of comparison in the middle started with $ and comparison value on the right. Also query can contain more than one statement combined with $and or $or operator.\nModel Description: CreatedByUserName as created by user name;ModifiedByUserName as modified by user name;CreatedOn as created on;ModifiedOn as modified on;EventCategory.IsApprovalRequired as is approval required of experience category;EventCategory.Name as name of experience category;EventCategory.Code as code of experience category;EventCategory.CreatedByUserName as created by user name of experience category;EventCategory.ModifiedByUserName as modified by user name of experience category;EventCategory.Priority as priority of experience category;EventCategory.CreatedOn as created on of experience category;EventCategory.ModifiedOn as modified on of experience category;EventCategory.EventInCategories as experience in categories of experience category,event in categories of event category;EventCategory.EventCategoryInTypes as event category in types of experience category,experience category in types of event category;EventCategory.Children as children of experience category,children categories of event category;EventCategoryType.Name as name of experience category type;EventCategoryType.CreatedByUserName as created by user name of experience category type;EventCategoryType.ModifiedByUserName as modified by user name of experience category type;EventCategoryType.CreatedOn as created on of experience category type;EventCategoryType.ModifiedOn as modified on of experience category type;EventCategoryType.EventCategoryInTypes as event category in types of experience category type,experience category in types of event category type\nRequest: select event category in type where count of children of experience category != one thousand and twenty-nine\nQuery:'
}
```

## Additional Information

### Licensing Information
The dataset is released under Apache 2.0.
task_categories:text-generation size_categories:10K<n<100K language:en license:apache-2.0 region:us
{"language": ["en"], "license": "apache-2.0", "size_categories": ["10K<n<100K"], "task_categories": ["text-generation"], "pretty_name": "Generate Query/Model from Request 15000/1000/1000", "dataset_info": {"features": [{"name": "utterance", "dtype": "string"}, {"name": "answer", "dtype": "string"}], "splits": [{"name": "train", "num_bytes": 27449266, "num_examples": 14960}, {"name": "test", "num_bytes": 1929362, "num_examples": 1020}, {"name": "validation", "num_bytes": 1871516, "num_examples": 1020}], "download_size": 3761317, "dataset_size": 31250144}}
TAGS
#task_categories-text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us 

# Dataset Card for "gen-qm-17000"

### Dataset Summary

Dataset for converting request into query and extracting model name.

DEV/VAL/TEST: 90/10/10

SIZE: 17000

### Supported Tasks and Leaderboards

The tasks represented in GEN-QM cover a text2text generation for producing qureries based on request or extracting models.

### Languages

The data in QM are in English.

## Dataset Structure

### Data Instances

An example of "train" looks as follows:


## Additional Information

### Licensing Information
The dataset is released under Apache 2.0.
# Dataset Card for "gen-qm-17000" ### Dataset Summary

Dataset for converting request into query and extracting model name.

DEV/VAL/TEST: 90/10/10

SIZE: 17000 ### Supported Tasks and Leaderboards

The tasks represented in GEN-QM cover a text2text generation for producing qureries based on request or extracting models. ### Languages

The data in QM are in English. ## Dataset Structure ### Data Instances

An example of "train" looks as follows: ## Additional Information ### Licensing Information
The dataset is released under Apache 2.0.
TAGS
#task_categories-text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us 
 # Dataset Card for "gen-qm-17000" ### Dataset Summary

Dataset for converting request into query and extracting model name.

DEV/VAL/TEST: 90/10/10

SIZE: 17000 ### Supported Tasks and Leaderboards

The tasks represented in GEN-QM cover a text2text generation for producing qureries based on request or extracting models. ### Languages

The data in QM are in English. ## Dataset Structure ### Data Instances

An example of "train" looks as follows: ## Additional Information ### Licensing Information
The dataset is released under Apache 2.0.
passage: TAGS
#task_categories-text-generation #size_categories-10K<n<100K #language-English #license-apache-2.0 #region-us 
# Dataset Card for "gen-qm-17000"### Dataset Summary

Dataset for converting request into query and extracting model name.

DEV/VAL/TEST: 90/10/10

SIZE: 17000### Supported Tasks and Leaderboards

The tasks represented in GEN-QM cover a text2text generation for producing qureries based on request or extracting models.### Languages

The data in QM are in English.## Dataset Structure### Data Instances

An example of "train" looks as follows:## Additional Information### Licensing Information
The dataset is released under Apache 2.0.