physics-v1-sample / README.md
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metadata
pretty_name: Learning Paths in Intro Mechanics (sample)
license: other
license_name: creative-data-lab-dataset-license
license_link: https://creative-data-lab-production.up.railway.app/terms.html
language:
  - en
task_categories:
  - question-answering
  - text-generation
tags:
  - education
  - tutoring
  - synthetic
  - misconceptions
  - creative-data-lab
  - physics
size_categories:
  - n<1K
configs:
  - config_name: master
    data_files:
      - split: train
        path: master/records.jsonl
    default: true
  - config_name: sft
    data_files:
      - split: train
        path: exports/sft.jsonl
  - config_name: tutor
    data_files:
      - split: train
        path: exports/tutor.jsonl
  - config_name: preference
    data_files:
      - split: train
        path: exports/preference.jsonl
  - config_name: step_labels
    data_files:
      - split: train
        path: exports/step_labels.jsonl

Learning Paths in Intro Mechanics: free sample

Creative Data Lab · 8 of 45 records from batch-001

Learning paths through introductory mechanics. Each record is a problem, one or two realistic wrong attempts tagged with a documented misconception, Socratic tutor feedback, and a correct worked solution.

This is a free sample so you can check the schema and quality. The full dataset is creativedatalab/physics-v1 (US$149 per organization, instant access after purchase at creative-data-lab-production.up.railway.app).

Load it

from datasets import load_dataset

records    = load_dataset("creativedatalab/physics-v1-sample", "master")       # full records (default)
sft        = load_dataset("creativedatalab/physics-v1-sample", "sft")          # problem -> worked solution
tutor      = load_dataset("creativedatalab/physics-v1-sample", "tutor")        # problem + wrong attempt -> guiding question
preference = load_dataset("creativedatalab/physics-v1-sample", "preference")   # chosen / rejected pairs
steps      = load_dataset("creativedatalab/physics-v1-sample", "step_labels")  # per-step labels, first error marked

Files

File Sample rows Full dataset
master/records.jsonl 8 45
exports/sft.jsonl 8 45
exports/tutor.jsonl 8 49
exports/preference.jsonl 8 49
exports/step_labels.jsonl 16 94

How it was made

  • Ground truth is computed by code. Every problem comes from a parameterised template; the correct answer and each misconception's wrong answer are computed with sympy, never by a language model.
  • Text is written by an open-weight model: mlx-community/Qwen2.5-32B-Instruct-4bit (Apache 2.0), which writes problem wording, student attempts, feedback and solution steps around the computed values.
  • Every record passed automated checks: answer matches truth within 1%; each wrong attempt lands exactly on its misconception's predicted answer; feedback does not leak the answer; all arithmetic in the text recomputes; no LaTeX or formatting debris; no duplicate problems.
  • Human review: 0 of 53 records reviewed so far.

Batch yield: 53 of 56 problems kept (45 on the first try).

Coverage

Topic Records
E Work and energy 10
K Kinematics 15
N Newton's laws 20
Rung Records
R1 Intuition 11
R2 Definition 4
R3 One step 24
R4 Multi step 6
Concept Records
E1 Work by a force 4
E2 Kinetic energy / work–energy theorem 4
E5 Energy with friction 2
K1 Displacement vs. distance 4
K6 Free fall 7
K7 Projectile motion 4
N4 Third law (interaction pairs) 4
N5 Weight 4
N6 Friction (static and kinetic) 4
N7 Inclined planes 4
N8 Tension and pulleys (Atwood) 4
Misconception Records
MC01 Heavier objects fall faster 3
MC02 Motion requires a force in its direction 4
MC03 Zero velocity means zero acceleration 4
MC04 Distance equals displacement 4
MC09 Bigger object exerts bigger force 4
MC10 Normal force always equals mg 4
MC11 Static friction always equals μs·N 4
MC13 Horizontal speed changes fall time 4
MC14 Kinetic energy is linear in speed 4
MC16 Mechanical energy conserved despite friction 2
MC17 Perpendicular forces do work 4
MC18 Mass and weight are the same 4
MC19 Rope tension equals hanging weight 4

Record schema (master)

id, split, topic, concept_id, prereqs, rung (R1 intuition → R5 transfer), difficulty, problem (template, params, text, options), ground_truth (answer, unit, tolerance), attempts (misconception_id, text, final_answer), feedback, solution (steps, final_answer), provenance (generator, template version, seed, check results, human review).

Step labels: how to read them

Correct solutions are labelled +1 at every step. For misconception attempts, the first step that reaches the misconception's wrong answer, and every step after it, are labelled -1. Earlier steps are null: they are not verified either way.

Limitations

  • Sample batch: 11 of 22 planned concepts, 45 training records.
  • Multiple-choice stems are template-written, so wording repeats across records of the same template.
  • Physics is checked by code; pedagogy (realism of attempts, quality of feedback) relies on human review.

License

Problems are original, generated from in-house templates. Dataset license: per client agreement.

License

Sample: Creative Data Lab Dataset License, evaluation use. The full dataset carries the same license for training and evaluation inside one organization.