Type: huggingface.question_answering.TableQuestionAnswering
Namespace: huggingface.question_answering
Description
Answers questions based on tabular data. table, question answering, natural language processing
Use cases:
- Querying databases using natural language
- Analyzing spreadsheet data with questions
- Extracting insights from tabular reports
- Automated data exploration
Properties
| Property | Type | Description | Default |
|---|---|---|---|
| model | hf.table_question_answering |
The model ID to use for table question answering | {'type': 'hf.table_question_answering', 'repo_id': '', 'path': None, 'variant': None, 'allow_patterns': None, 'ignore_patterns': None} |
| dataframe | dataframe |
The input table to query | {'type': 'dataframe', 'uri': '', 'asset_id': None, 'data': None, 'columns': None} |
| question | str |
The question to be answered based on the table | `` |
Outputs
| Output | Type | Description |
|---|---|---|
| answer | str |
|
| coordinates | List[Tuple[int, int]] |
|
| cells | List[str] |
|
| aggregator | str |
Metadata
Related Nodes
Browse other nodes in the huggingface.question_answering namespace.