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## Templatic Generation Tasks dataset (Jan-08-2025)
A synthetic dataset for containing examples of the Templatic Generation Task, as described
in our Oct 2024 Technical report: Mechanisms of Symbol Processing for In-context Learning in Transformer Networks.
Each example has 2-3 parts, separated by TAB character:
x - the example input
y - the example label
info - OPTIONAL text identifying the type of example (for optional filtering during training)
# Currently available tasks:
1_shot_rlw: each example is 1 sample input/output pair + input cue; random two-letter words
2_shot_rlw each example is 2 sample input/output pairs + input cue; random two-letter words
3_shot_rlw: each example is 3 sample input/output pairs + input cue; random two-letter words
5_shot_rlw: each example is 5 sample input/output pairs + input cue; random two-letter words
10_shot_rlw: each example is 10 sample input/output pairs + input cue; random two-letter words
1_shot_eng: each example is 1 sample input/output pair + input cue; english words
1_shot_rlw_10x: same as 1_shot_rlw, but with 10x as many training examples
# Each task contains the following splits:
train contains 1, 2, or 4 constituents; each with 1, 2, or 4 parts
dev contains 1, 2, or 4 constituents; each with 1, 2, or 4 parts
test contains 1, 2, or 4 constituents; each with 1, 2, or 4 parts
ood_lexical the constituent part vocab is held out from training (except for the echo examples)
ood_cons_len_3 all templates have constituents have 3 parts
ood_cons_len_5 all templates have constituents have 5 parts
ood_cons_len_7 all templates have constituents have 7 parts
ood_cons_len_10 all templates have constituents have 10 parts
ood_cons_count_3 all templates have 3 constituents
ood_cons_count_5 all templates have 5 constituents
ood_cons_count_7 all templates have 7 constituents
ood_cons_count_10 all templates have 10 constituents
Definitions:
- echo examples: use to introduce out-of-distribution vocabulary symbols to the model (in the train split)
- template - used to generate an example (input/output sample pairs, cue input, gold output)
Normal example:
Q oy xf kq be ` ? jp A jp = . Q jf ty zu np ` ? cx A cx = . {"cons_count": "Q2A1", "cons_len": "Q41.Q41"}
breakdown:
1 sample input: Q oy xf kq be ` ? jp A
1 sample output: jp = .
cue input: Q jf ty zu np ` ? cx A
gold output: cx = .
example info: {"cons_count": "Q2A1", "cons_len": "Q41.Q41"}
Echo example:
Q ZW A ZW . Q VI A VI . {"type": "echo"}
breakdown:
1 sample input: Q ZW A
1 sample output: ZW .
cue input: Q VI A
gold output: VI .
example info: {"type": "echo"}
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