danbri · February 16, 2023 17:04
diff --git a/gistfile1.txt b/gistfile1.txt
 Fact Checking: Final Report (3 year investigation)

 Herein we compare the above (text 1) with the following  description (text 2). 

 We carefully, scrupulously and step by step extracted an ordered list of factual claims from these texts, 
 minimising duplication in the case of synonyms and near synonyms.

 We sought to identify those statements which appearto be asserted in both texts, since the texts are 
 of somewhat independent provenance. Veracity estimates are shown using a table for all claims and 
 have columns for in_both, claim_text, in_1st, in_2nd, implies_true, implies_false. 

 The last two cols give brief examples of some implied claims which should fact check to either true 
 or false, to aid further verification. For example, “Linda is a feminist bank teller” implies and 
 requires both “Linda is a feminist”, “Linda is a bank teller”, but neither of those implies the former. 
 Another example: something created in a particular year is not typically considered to have existed in 
 previous years - this csn be used to populate “implies_false”.

 Remember that non-textual data cells will contain either a tick/check, a cross, or a question mark in emoji.

 2nd text: “””
	Fact Checking: Final Report (3 year investigation)

	Herein we compare the above (text 1) with the following description (text 2).

	We carefully, scrupulously and step by step extracted an ordered list of factual claims from these texts,
	minimising duplication in the case of synonyms and near synonyms.

	We sought to identify those statements which appearto be asserted in both texts, since the texts are
	of somewhat independent provenance. Veracity estimates are shown using a table for all claims and
	have columns for in_both, claim_text, in_1st, in_2nd, implies_true, implies_false.

	The last two cols give brief examples of some implied claims which should fact check to either true
	or false, to aid further verification. For example, “Linda is a feminist bank teller” implies and
	requires both “Linda is a feminist”, “Linda is a bank teller”, but neither of those implies the former.
	Another example: something created in a particular year is not typically considered to have existed in
	previous years - this csn be used to populate “implies_false”.

	Remember that non-textual data cells will contain either a tick/check, a cross, or a question mark in emoji.

	2nd text: “””