amirali1985's picture
update dataset card: N=250 eval sets, Quirke arxiv link, subtraction enrichment, M6 note
740f627 verified
metadata
configs:
  - config_name: add_6digit
    data_files:
      - path: add_6digit/train.parquet
        split: train
      - path: add_6digit/val.parquet
        split: validation
      - path: add_6digit/eval_stratified.parquet
        split: test
  - config_name: add_sub_6digit
    data_files:
      - path: add_sub_6digit/train.parquet
        split: train
      - path: add_sub_6digit/val.parquet
        split: validation
      - path: add_sub_6digit/eval_stratified.parquet
        split: test
  - config_name: add_handcrafted
    data_files:
      - path: add_handcrafted/test.parquet
        split: test
  - config_name: sub_handcrafted
    data_files:
      - path: sub_handcrafted/test.parquet
        split: test
language:
  - en
license: apache-2.0
size_categories:
  - 1M<n<10M
tags:
  - arithmetic
  - interpretability
  - sorl
  - mechanistic-interpretability
  - addition
  - subtraction
  - quirke
task_categories:
  - text-generation

Arithmetic SoRL Data

Training and evaluation data for the SoRL Arithmetic Interpretability Study.

Small transformers trained on integer addition/subtraction, with SoRL to externalize carry/borrow circuits as explicit abstraction tokens.

Reference: Quirke et al., "Understanding Addition and Subtraction in Transformers" (2024). Paper: arXiv:2402.02619 — see Table 8 for complexity classification and Section 3 for sub-task definitions.

Dataset Structure

Subfolder Operations Train Val Eval (stratified)
add_6digit addition only 500K 10K ~2950 (250 per S0-S6, C3-C6 + 200 random)
add_sub_6digit add + sub 500K 10K ~5400 (250 per split + 400 random)
add_handcrafted addition only 108
sub_handcrafted subtraction only 68

Eval Splits

All eval sets use seed=42 for reproducibility. Every model is evaluated on identical examples.

Split Type Splits Examples/split Description
Quirke cascades (add) S0-S6 250 Carry cascade depth 0-6
Hot carry chains C3-C6 250 Carry cascades with varied answer digits (not just 0s)
Quirke cascades (sub) M0-M5 250 Borrow cascade depth 0-5 (M6 is impossible for 6-digit)
Hot borrow chains B3-B5 250 Borrow cascades with varied answer digits (not just 9s)
Random add_random, sub_random 200 Uniform random

Note: M6 (borrow cascade of length 6) is impossible for 6-digit subtraction — it would require 7 digit positions.

Columns

Column Type Description
tokens list[int] Full sequence (21 tokens for 6-digit, Qwen3 tokenizer)
labels list[str] Per-answer-digit sub-task label (SA, SC, SS, UC, US for add; MD, MB, ME, UB, UD for sub)
op str "add" or "sub"
complexity str Quirke complexity: S0-S6 (add) or M0-M5 (sub)
cascade_depth int Max carry/borrow cascade length
x_digits list[int] First operand (MSB first)
y_digits list[int] Second operand (MSB first)
z_digits list[int] Answer (MSB first, n_digits+1)

The eval_stratified split has an additional eval_category column.

Sub-task Labels (Quirke et al. 2024)

Each answer digit requires a specific arithmetic operation. These labels follow Quirke et al. Section 3.

Addition

Label Name Condition Role
SA Base Add Dn + D'n < 9, no carry Simplest case
SC Make Carry Dn + D'n >= 10 Generates carry
SS Sum is 9 Dn + D'n == 9 Propagates carry if one arrives
UC Use Carry carry_in=1, sum != 9 Consumes incoming carry
US Use Sum-9 carry_in=1, sum == 9 Cascade: hardest case

Subtraction (x >= y)

Label Name Condition Role
MD Base Diff Dn > D'n, no borrow Simplest case
MB Make Borrow Dn < D'n Generates borrow
ME Equal digits Dn == D'n Propagates borrow if one arrives
UB Use Borrow borrow_in=1, Dn != D'n Consumes incoming borrow
UD Use Equal borrow_in=1, Dn == D'n Cascade: hardest case

Complexity Classification (Quirke Table 8)

Complexity = length of longest carry/borrow cascade chain.

Example: 555555+444448=1000003 is S6 — the carry from D0 cascades through 5 consecutive sum-9 positions.

S0: no carries            ~10%
S1: isolated carries      ~50%
S2: cascade of 2          ~26%
S3: cascade of 3           ~9%
S4: cascade of 4           ~3%
S5: cascade of 5           ~1%
S6: cascade of 6          <0.5%

Data Enrichment

Addition: Following Quirke et al., 60% of batches have 40% of digit positions forced to sum-to-9, increasing carry cascade frequency so the model sees enough S4-S6 cases.

Subtraction: 40% of digit positions are forced equal (Dn == D'n), creating borrow propagation cascades (ME/UD). Without this, M3-M5 borrow cascades are extremely rare (M3=0.7%, M4=0.04% in unmodified data). With enrichment: M3=3.0%, M4=0.8%.

Usage

from datasets import load_dataset

ds = load_dataset("thoughtworks/arithmetic-sorl-data", data_dir="add_6digit")
print(ds["train"][0])
# {'tokens': [...], 'labels': ['SA', 'UC', 'US', ...],
#  'complexity': 'S3', 'cascade_depth': 3, ...}

# Stratified eval
eval_ds = load_dataset("thoughtworks/arithmetic-sorl-data",
                       data_dir="add_6digit", data_files="eval_stratified.parquet")

# Addition + subtraction
ds_mixed = load_dataset("thoughtworks/arithmetic-sorl-data", data_dir="add_sub_6digit")

Related