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https://github.com/deepset-ai/haystack.git
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a67ca289db
* Adding support for table Documents when serializing Labels in Haystack * Fix table label equality test * Add serialization support and __eq__ support for table answers * Made convenience functions for converting dataframes. Added some TODOs. Epxanded schema tests for table labels. Updated Multilabel to not convert Dataframes into strings. * get Answer and Label to_json working with DataFrame * Fix from_dict method of Label * Use Dict and remove unneccessary if check * Using pydantic instead of builtins for type detection * Update haystack/schema.py Co-authored-by: Silvano Cerza <3314350+silvanocerza@users.noreply.github.com> * Update haystack/schema.py Co-authored-by: Silvano Cerza <3314350+silvanocerza@users.noreply.github.com> * Update haystack/schema.py Co-authored-by: Silvano Cerza <3314350+silvanocerza@users.noreply.github.com> * Separated table label equivalency tests and added pytest.mark.unit * Added unit test for _dict_factory * Using more descriptive variable names * Adding json files to test to_json and from_json functions * Added sample files for tests --------- Co-authored-by: Silvano Cerza <3314350+silvanocerza@users.noreply.github.com>
67 lines
1.0 KiB
JSON
67 lines
1.0 KiB
JSON
{
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"id": "fbd79f71-d690-4b21-bd0a-1094292b9809",
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"query": "some",
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"document": {
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"id": "fe5cb68f8226776914781f6bd40ad718",
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"content": [
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[
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"col1",
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"col2"
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],
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[
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"text_1",
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1
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],
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[
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"text_2",
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2
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]
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],
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"content_type": "table",
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"meta": {},
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"id_hash_keys": [
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"content"
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],
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"score": null,
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"embedding": null
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},
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"is_correct_answer": true,
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"is_correct_document": true,
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"origin": "user-feedback",
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"answer": {
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"answer": "text_2",
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"type": "extractive",
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"score": 0.1,
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"context": [
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[
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"col1",
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"col2"
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],
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[
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"text_1",
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1
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],
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[
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"text_2",
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2
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]
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],
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"offsets_in_document": [
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{
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"row": 1,
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"col": 0
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}
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],
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"offsets_in_context": null,
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"document_ids": [
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"123"
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],
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"meta": {}
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},
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"pipeline_id": null,
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"created_at": "2023-05-02 11:43:56",
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"updated_at": null,
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"meta": {},
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"filters": null
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}
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