Download README.md from creativedatalab/physics-v1-sample: direct link, hf CLI and curl.
- Browser
- Download file 5.79 kB
-
https://huggingface.co/datasets/creativedatalab/physics-v1-sample/resolve/main/README.md
- Command line
-
hf download hf://datasets/creativedatalab/physics-v1-sample/README.md
-
curl -L -o README.md https://huggingface.co/datasets/creativedatalab/physics-v1-sample/resolve/main/README.md
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.