Described herein is a system and method for addition of content to a question answer (QA) system. The method may comprise retrieving, from a template store of the QA system, a template comprising one or more data fields and one or more metadata fields. The method may further comprise populating a passage field with passage information, wherein the passage field is one of the one or more data fields. The method may further comprise populating a training field with training information, wherein the training field is one of the one or more metadata fields. The method may further comprise ingesting, into a corpus of the QA system, a completed template comprising a populated passage field and a populated training field into the corpus.
Please help me write a proper abstract based on the patent claims. CLAIM: 1. A method for addition of content to a question answer (QA) system, the method comprising: retrieving, from a template store of the QA system, a template comprising one or more data fields and one or more metadata fields; populating a passage field with passage information, wherein the passage field is one of the one or more data fields; populating a training field with training information, wherein the training field is one of the one or more metadata fields; and ingesting, into a corpus of the QA system, a completed template comprising a populated passage field and a populated training field into the corpus. 2. The method of claim 1, further comprising: creating a passage in the QA system based, at least in part, on the passage information; and creating a question cluster in the QA system based, at least in part, on the training information. 3. The method of claim 2, wherein the corpus is in a trained state relative to the at least one passage and the training information in response to ingesting the completed template. 4. The method of claim 1, wherein the training information comprises a question, and the passage information comprises an answer to the question. 5. The method of claim 1, wherein the one or more metadata fields further comprises a passage identification field, the passage identification field indicating a topic of the template. 6. The method of claim 5, wherein retrieving the template is based upon the passage identification field. 7. The method of claim 1, further comprising: populating an attribute field, wherein the attribute field is one of the one or more data fields; and populating the training field, based at least in part, on the attribute field. 8. A question answer (QA) system comprising: a memory; and a processor coupled to the memory, the processor configured to: retrieve, from a template store of the QA system, a template comprising one or more data fields and one or more metadata fields; populate a passage field with passage information, wherein the passage field is one of the one or more data fields; populate a training field with training information, wherein the training field is one of the one or more metadata fields; and ingest, into a corpus of the QA system, a completed template comprising a populated passage field and a populated training field into the corpus. 9. The QA system of claim 8, wherein the processor is further configured to: create a passage in the QA system based, at least in part, on the passage information; and create a question cluster in the QA system based, at least in part, on the training information. 10. The QA system of claim 9, wherein the corpus is in a trained state relative to the at least one passage and the training information in response to ingesting the completed template. 11. The QA system of claim 8, wherein the training information comprises a question, and the passage information comprises an answer to the question. 12. The QA system of claim 8, wherein the one or more metadata fields further comprises a passage identification field, the passage identification field indicating a topic of the template. 13. The QA system of claim 12, wherein retrieving the template is based upon the passage identification field. 14. The QA system of claim 8, wherein the processor is further configured to: populate an attribute field, wherein the attribute field is one of the one or more data fields; and populate the training field, based at least in part, on the attribute field. 15. A computer program product for addition of content to a question answer (QA) system, the computer program product comprising a computer readable storage medium having program instructions embodied therewith, the program instructions executable by a processor to cause the processor to: retrieve, from a template store of the QA system, a template comprising one or more data fields and one or more metadata fields; populate a passage field with passage information, wherein the passage field is one of the one or more data fields; populate a training field with training information, wherein the training field is one of the one or more metadata fields; and ingest, into a corpus of the QA system, a completed template comprising a populated passage field and a populated training field into the corpus. 16. The computer program product of claim 15, wherein the program instructions executable by the processor to further cause the processor to: create a passage in the QA system based, at least in part, on the passage information; and create a question cluster in the QA system based, at least in part, on the training information. 17. The computer program product of claim 16, wherein the corpus is in a trained state relative to the at least one passage and the training information in response to ingesting the completed template. 18. The computer program product of claim 15, wherein the training information comprises a question, and the passage information comprises an answer to the question. 19. The computer program product of claim 15, wherein the one or more metadata fields further comprises a passage identification field, the passage identification field indicating a topic of the template. 20. The computer program product of claim 15, wherein the program instructions executable by the processor to further cause the processor to: populate an attribute field, wherein the attribute field is one of the one or more data fields; and populate the training field, based at least in part, on the attribute field.