mirror of
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>
42 lines
521 B
JSON
42 lines
521 B
JSON
{
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"content": [
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[
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"actors",
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"age",
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"number of movies",
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"date of birth"
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],
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[
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"brad pitt",
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58,
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87,
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"18 december 1963"
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],
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[
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"leonardo di caprio",
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47,
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53,
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"11 november 1974"
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],
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[
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"george clooney",
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60,
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69,
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"6 may 1961"
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]
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],
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"content_type": "table",
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"score": null,
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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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"embedding": [
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1.1,
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2.2,
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3.3,
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4.4
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],
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"id": "doc2"
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}
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