Datasets:

creativedatalab
/

physics-v1-sample

---
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](https://huggingface.co/datasets/creativedatalab/physics-v1) (US$149 per organization, instant access after purchase at
[creative-data-lab-production.up.railway.app](https://creative-data-lab-production.up.railway.app/#datasets)).

## Load it

```python
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](https://creative-data-lab-production.up.railway.app/terms.html), evaluation use. The full dataset
carries the same license for training and evaluation inside one organization.

	---
	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](https://huggingface.co/datasets/creativedatalab/physics-v1) (US$149 per organization, instant access after purchase at
	[creative-data-lab-production.up.railway.app](https://creative-data-lab-production.up.railway.app/#datasets)).

	## Load it

	```python
	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](https://creative-data-lab-production.up.railway.app/terms.html), evaluation use. The full dataset
	carries the same license for training and evaluation inside one organization.