mmmikolajczak commited on
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Add ConvFinQA canonical artifacts

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.gitattributes CHANGED
@@ -71,3 +71,5 @@ datasets/finqa/official/v0/train.jsonl filter=lfs diff=lfs merge=lfs -text
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  datasets/tatqa/official/v0/train.jsonl filter=lfs diff=lfs merge=lfs -text
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  tasks/tatqa_hybrid_qa_structured_v0/requests/train_requests.jsonl filter=lfs diff=lfs merge=lfs -text
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tasks/convfinqa_program_generation_v0/README.md ADDED
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+ # convfinqa_program_generation_v0
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+
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+ Canonical ConvFinQA turn-level conversational program-generation task over `convfinqa_official_v0`.
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+
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+ ## Formal task id
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+ `TA_PROGGEN_CONVFINQA_v0`
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+
8
+ ## Task definition
9
+ - canonical output is `program_tokens`
10
+ - input evidence is the current question, dialogue history, pre-table text, the serialized table, and post-table text
11
+ - output is JSON with exactly one key: `program_tokens`
12
+ - the final answer is derived by executing the predicted program
13
+ - primary metric is execution accuracy
14
+ - secondary metric is program accuracy
15
+ - auxiliary supervision such as supporting facts and turn type is preserved in the dataset layer, but not used for the top-line benchmark score
16
+ - the raw test release is unlabeled at the pinned commit, so this task publishes supervised `train / dev` only
17
+
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+ ## Output schema
19
+ Return ONLY a JSON object of this form:
20
+
21
+ ```json
22
+ {
23
+ "program_tokens": ["subtract(", "5829", "5735", ")", "EOF"]
24
+ }
25
+ ```
26
+
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+ For `number_turn` examples, a valid program can also be a single numeric token followed by `EOF`, for example:
28
+
29
+ ```json
30
+ {
31
+ "program_tokens": ["206588", "EOF"]
32
+ }
33
+ ```
34
+
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+ ## Reward stance
36
+ - `format_reward`: valid JSON with exactly one key and a token list ending in `EOF`
37
+ - `dsl_validity_reward`: program satisfies the FinQA-family DSL structure, including single-number programs used in upstream `number_turn` supervision
38
+ - `execution_reward`: predicted program executes to the gold execution answer
39
+ - `program_match_reward`: predicted program matches the canonical gold program under the FinQA-family program matcher
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