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masked
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30
label
large_stringclasses
26 values
label_class
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alternative
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26 values
alternative_class
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unit_len
int64
3
3
repeats
int64
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int64
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j pear green j [MASK]
pear
MATCH
rock
DISTRACTOR
3
1
0
easy
train
MATCH
e n j e [MASK]
n
MATCH
pear
DISTRACTOR
3
1
0
easy
train
MATCH
sand right u sand [MASK]
right
MATCH
sand
DISTRACTOR
3
1
0
easy
train
MATCH
right g green right [MASK]
g
MATCH
right
DISTRACTOR
3
1
0
easy
train
MATCH
pear right sand pear [MASK]
right
MATCH
w
DISTRACTOR
3
1
0
easy
train
MATCH
i t d i [MASK]
t
MATCH
i
DISTRACTOR
3
1
0
easy
train
MATCH
e pear q e [MASK]
pear
MATCH
e
DISTRACTOR
3
1
0
easy
train
MATCH
p pear t p [MASK]
pear
MATCH
t
DISTRACTOR
3
1
0
easy
train
MATCH
t q s t [MASK]
q
MATCH
s
DISTRACTOR
3
1
0
easy
train
MATCH
u green w u [MASK]
green
MATCH
w
DISTRACTOR
3
1
0
easy
train
MATCH
pear p f pear [MASK]
p
MATCH
d
DISTRACTOR
3
1
0
easy
train
MATCH
apple t m apple [MASK]
t
MATCH
g
DISTRACTOR
3
1
0
easy
train
MATCH
two e w two [MASK]
e
MATCH
rose
DISTRACTOR
3
1
0
easy
train
MATCH
p c u p [MASK]
c
MATCH
rock
DISTRACTOR
3
1
0
easy
train
MATCH
apple s j apple [MASK]
s
MATCH
w
DISTRACTOR
3
1
0
easy
train
MATCH
m green n m [MASK]
green
MATCH
w
DISTRACTOR
3
1
0
easy
train
MATCH
two rose f two [MASK]
rose
MATCH
two
DISTRACTOR
3
1
0
easy
train
MATCH
green rose red green [MASK]
rose
MATCH
n
DISTRACTOR
3
1
0
easy
train
MATCH
m t green m [MASK]
t
MATCH
two
DISTRACTOR
3
1
0
easy
train
MATCH
g white u g [MASK]
white
MATCH
i
DISTRACTOR
3
1
0
easy
train
MATCH
pear j two pear [MASK]
j
MATCH
pear
DISTRACTOR
3
1
0
easy
train
MATCH
p apple n p [MASK]
apple
MATCH
n
DISTRACTOR
3
1
0
easy
train
MATCH
u m p u [MASK]
m
MATCH
p
DISTRACTOR
3
1
0
easy
train
MATCH
m red e m [MASK]
red
MATCH
d
DISTRACTOR
3
1
0
easy
train
MATCH
rock q green rock [MASK]
q
MATCH
u
DISTRACTOR
3
1
0
easy
train
MATCH
apple j d apple [MASK]
j
MATCH
n
DISTRACTOR
3
1
0
easy
train
MATCH
e p f e [MASK]
p
MATCH
right
DISTRACTOR
3
1
0
easy
train
MATCH
e red t e [MASK]
red
MATCH
apple
DISTRACTOR
3
1
0
easy
train
MATCH
n white apple n [MASK]
white
MATCH
rose
DISTRACTOR
3
1
0
easy
train
MATCH
t rock c t [MASK]
rock
MATCH
pear
DISTRACTOR
3
1
0
easy
train
MATCH
red y right red [MASK]
y
MATCH
sand
DISTRACTOR
3
1
0
easy
train
MATCH
g s red g [MASK]
s
MATCH
white
DISTRACTOR
3
1
0
easy
train
MATCH
white sand pear white [MASK]
sand
MATCH
apple
DISTRACTOR
3
1
0
easy
train
MATCH
f g m f [MASK]
g
MATCH
m
DISTRACTOR
3
1
0
easy
train
MATCH
e j p e [MASK]
j
MATCH
d
DISTRACTOR
3
1
0
easy
train
MATCH
n rose y n [MASK]
rose
MATCH
j
DISTRACTOR
3
1
0
easy
train
MATCH
d pear apple d [MASK]
pear
MATCH
white
DISTRACTOR
3
1
0
easy
train
MATCH
two sand j two [MASK]
sand
MATCH
rose
DISTRACTOR
3
1
0
easy
train
MATCH
s q pear s [MASK]
q
MATCH
pear
DISTRACTOR
3
1
0
easy
train
MATCH
rose y u rose [MASK]
y
MATCH
m
DISTRACTOR
3
1
0
easy
train
MATCH
y apple p y [MASK]
apple
MATCH
rose
DISTRACTOR
3
1
0
easy
train
MATCH
apple n j apple [MASK]
n
MATCH
s
DISTRACTOR
3
1
0
easy
train
MATCH
right w c right [MASK]
w
MATCH
c
DISTRACTOR
3
1
0
easy
train
MATCH
q two e q [MASK]
two
MATCH
c
DISTRACTOR
3
1
0
easy
train
MATCH
rock sand green rock [MASK]
sand
MATCH
w
DISTRACTOR
3
1
0
easy
train
MATCH
e rock p e [MASK]
rock
MATCH
rose
DISTRACTOR
3
1
0
easy
train
MATCH
f s w f [MASK]
s
MATCH
i
DISTRACTOR
3
1
0
easy
train
MATCH
d y green d [MASK]
y
MATCH
green
DISTRACTOR
3
1
0
easy
train
MATCH
q t apple q [MASK]
t
MATCH
q
DISTRACTOR
3
1
0
easy
train
MATCH
w u right w [MASK]
u
MATCH
t
DISTRACTOR
3
1
0
easy
train
MATCH
apple right rock apple [MASK]
right
MATCH
u
DISTRACTOR
3
1
0
easy
train
MATCH
n w apple n [MASK]
w
MATCH
two
DISTRACTOR
3
1
0
easy
train
MATCH
e y red e [MASK]
y
MATCH
n
DISTRACTOR
3
1
0
easy
train
MATCH
c n rock c [MASK]
n
MATCH
c
DISTRACTOR
3
1
0
easy
train
MATCH
i white y i [MASK]
white
MATCH
w
DISTRACTOR
3
1
0
easy
train
MATCH
right q f right [MASK]
q
MATCH
e
DISTRACTOR
3
1
0
easy
train
MATCH
n y apple n [MASK]
y
MATCH
s
DISTRACTOR
3
1
0
easy
train
MATCH
j u red j [MASK]
u
MATCH
j
DISTRACTOR
3
1
0
easy
train
MATCH
two i e two [MASK]
i
MATCH
two
DISTRACTOR
3
1
0
easy
train
MATCH
s sand m s [MASK]
sand
MATCH
m
DISTRACTOR
3
1
0
easy
train
MATCH
i t g i [MASK]
t
MATCH
c
DISTRACTOR
3
1
0
easy
train
MATCH
green two e green [MASK]
two
MATCH
green
DISTRACTOR
3
1
0
easy
train
MATCH
f d u f [MASK]
d
MATCH
sand
DISTRACTOR
3
1
0
easy
train
MATCH
g m f g [MASK]
m
MATCH
g
DISTRACTOR
3
1
0
easy
train
MATCH
s g q s [MASK]
g
MATCH
y
DISTRACTOR
3
1
0
easy
train
MATCH
y s e y [MASK]
s
MATCH
w
DISTRACTOR
3
1
0
easy
train
MATCH
m white e m [MASK]
white
MATCH
j
DISTRACTOR
3
1
0
easy
train
MATCH
apple i rose apple [MASK]
i
MATCH
t
DISTRACTOR
3
1
0
easy
train
MATCH
sand t f sand [MASK]
t
MATCH
y
DISTRACTOR
3
1
0
easy
train
MATCH
p rock u p [MASK]
rock
MATCH
t
DISTRACTOR
3
1
0
easy
train
MATCH
red right green red [MASK]
right
MATCH
w
DISTRACTOR
3
1
0
easy
train
MATCH
green d w green [MASK]
d
MATCH
green
DISTRACTOR
3
1
0
easy
train
MATCH
apple q pear apple [MASK]
q
MATCH
pear
DISTRACTOR
3
1
0
easy
train
MATCH
apple rose p apple [MASK]
rose
MATCH
p
DISTRACTOR
3
1
0
easy
train
MATCH
n green s n [MASK]
green
MATCH
w
DISTRACTOR
3
1
0
easy
train
MATCH
i pear g i [MASK]
pear
MATCH
white
DISTRACTOR
3
1
0
easy
train
MATCH
f s j f [MASK]
s
MATCH
f
DISTRACTOR
3
1
0
easy
train
MATCH
two j m two [MASK]
j
MATCH
two
DISTRACTOR
3
1
0
easy
train
MATCH
two y j two [MASK]
y
MATCH
g
DISTRACTOR
3
1
0
easy
train
MATCH
pear d w pear [MASK]
d
MATCH
white
DISTRACTOR
3
1
0
easy
train
MATCH
d two q d [MASK]
two
MATCH
d
DISTRACTOR
3
1
0
easy
train
MATCH
e green n e [MASK]
green
MATCH
y
DISTRACTOR
3
1
0
easy
train
MATCH
e q two e [MASK]
q
MATCH
e
DISTRACTOR
3
1
0
easy
train
MATCH
u p e u [MASK]
p
MATCH
u
DISTRACTOR
3
1
0
easy
train
MATCH
red d two red [MASK]
d
MATCH
g
DISTRACTOR
3
1
0
easy
train
MATCH
pear apple rose pear [MASK]
apple
MATCH
s
DISTRACTOR
3
1
0
easy
train
MATCH
c two rock c [MASK]
two
MATCH
q
DISTRACTOR
3
1
0
easy
train
MATCH
two y red two [MASK]
y
MATCH
red
DISTRACTOR
3
1
0
easy
train
MATCH
g j p g [MASK]
j
MATCH
p
DISTRACTOR
3
1
0
easy
train
MATCH
s g n s [MASK]
g
MATCH
red
DISTRACTOR
3
1
0
easy
train
MATCH
e c t e [MASK]
c
MATCH
u
DISTRACTOR
3
1
0
easy
train
MATCH
rock p two rock [MASK]
p
MATCH
y
DISTRACTOR
3
1
0
easy
train
MATCH
m two apple m [MASK]
two
MATCH
m
DISTRACTOR
3
1
0
easy
train
MATCH
e p n e [MASK]
p
MATCH
f
DISTRACTOR
3
1
0
easy
train
MATCH
two j w two [MASK]
j
MATCH
two
DISTRACTOR
3
1
0
easy
train
MATCH
right f c right [MASK]
f
MATCH
c
DISTRACTOR
3
1
0
easy
train
MATCH
sand j d sand [MASK]
j
MATCH
green
DISTRACTOR
3
1
0
easy
train
MATCH
f white w f [MASK]
white
MATCH
f
DISTRACTOR
3
1
0
easy
train
MATCH
w rock red w [MASK]
rock
MATCH
red
DISTRACTOR
3
1
0
easy
train
MATCH
apple f d apple [MASK]
f
MATCH
q
DISTRACTOR
3
1
0
easy
train
MATCH
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GRADIEND Induction Data

Synthetic induction (sequence-completion) cloze data used in the GRADIEND/ACTIEND/SAE/CAA comparison (aieng-lab/iend-study).

Usage

from datasets import load_dataset

ds = load_dataset("aieng-lab/gradiend-induction", "default", split="train")

Splits: train, validation, test.

Dataset Details

Dataset Description

A repeated three-token unit is followed by its first token as query prefix; the model must predict the second token of the unit, e.g. j pear green j pear green j [MASK] (target pear). The factual class is MATCH.

Dataset Structure

Configs default (easy), medium, and hard; each has all splits (8,000 / 1,000 / 1,000 rows).

  • masked: the input text with a single [MASK] slot to be predicted
  • label: the factual target token(s) for the slot
  • label_class: class of the factual target
  • alternative: the alternative (counterfactual) target for the slot
  • alternative_class: class of the alternative target
  • feature_class_id: identifier of the feature class (equal to label_class)
  • split: train, validation, or test
  • difficulty: difficulty level of the row

default = easy (three-token unit, one repeat, canonical format). medium adds a second repeat, noise tokens, and format variation; hard uses longer units (4--5 tokens), up to three repeats, more noise, and an unrestricted (not single-token) vocabulary.

Dataset Sources

Dataset Creation

Tokens come from a manually curated 50-token vocabulary (26 lowercase Latin letters and 24 tokenizer-verified short words), partitioned into disjoint train/validation/test pools of 26, 12, and 12 tokens. The alternative is sampled either from another token in the unit or from three additional tokens outside the unit. Duplicate masked contexts are removed.

Bias, Risks, and Limitations

Fully synthetic and templated; it probes one narrow symbolic mechanism, not general reasoning, and results need not transfer to natural text. Value/token vocabularies are small and hand-curated.

Citation

BibTeX: TODO

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