Datasets:
Add 1 files
Browse files
README.md
ADDED
|
@@ -0,0 +1,58 @@
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
| 1 |
+
---
|
| 2 |
+
annotations_creators: []
|
| 3 |
+
language:
|
| 4 |
+
- en
|
| 5 |
+
language_creators: []
|
| 6 |
+
license: []
|
| 7 |
+
multilinguality:
|
| 8 |
+
- monolingual
|
| 9 |
+
pretty_name: 'adaption-math_misconception_match'
|
| 10 |
+
size_categories:
|
| 11 |
+
- 10K<n<100K
|
| 12 |
+
source_datasets:
|
| 13 |
+
- 'original'
|
| 14 |
+
tags:
|
| 15 |
+
- adaption
|
| 16 |
+
- instruction-tuning
|
| 17 |
+
- academic-education
|
| 18 |
+
- math
|
| 19 |
+
task_categories: []
|
| 20 |
+
task_ids: []
|
| 21 |
+
---
|
| 22 |
+
|
| 23 |
+
|
| 24 |
+
|
| 25 |
+
This dataset is a remastered version prepared using [Adaption's](https://adaptionlabs.ai/app/auth) Adaptive Data platform.
|
| 26 |
+
|
| 27 |
+
# adaption-math_misconception_match
|
| 28 |
+
|
| 29 |
+
This dataset contains pairs of math problems, student wrong answers, and candidate misconceptions. The task is to determine if the specific misconception logically explains the student's error. Each sample provides the question context, the incorrect response, and a labeled classification of 'MATCH' or 'NO_MATCH'.
|
| 30 |
+
|
| 31 |
+
### Dataset size
|
| 32 |
+
|
| 33 |
+
There are 19,996 data points in this dataset. This is an instruction tuning dataset.
|
| 34 |
+
|
| 35 |
+
### Quality of Remastered Dataset
|
| 36 |
+
|
| 37 |
+
The final quality is B, with a relative quality improvement of 21.4%.
|
| 38 |
+
|
| 39 |
+
### Domain
|
| 40 |
+
- Academic-education (96%)
|
| 41 |
+
- Math (4%)
|
| 42 |
+
|
| 43 |
+
### Language
|
| 44 |
+
- English (100%)
|
| 45 |
+
|
| 46 |
+
### Tone
|
| 47 |
+
- Analytical (100%)
|
| 48 |
+
|
| 49 |
+
### Evaluation Results
|
| 50 |
+
|
| 51 |
+
- **Quality Gains:**
|
| 52 |
+
<img src="https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/a17ddbaf-4aba-4150-88ba-94a756d84c71.png" alt="QualityGains" style="max-width: 50%; display: block; margin-left: auto; margin-right: auto;" />
|
| 53 |
+
|
| 54 |
+
- **Grade Improvement:**
|
| 55 |
+
<img src="https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/0c9c2c9f-1f8f-41de-bf30-1783c00ffc9b.png" alt="Grade" style="max-width: 50%; display: block; margin-left: auto; margin-right: auto;" />
|
| 56 |
+
|
| 57 |
+
- **Percentile Chart:**
|
| 58 |
+
<img src="https://proteus-prod-public.s3.us-east-1.amazonaws.com/temp/eff49631-5286-4ae3-a099-67b78d56d39a.png" alt="Percentile Chart" style="max-width: 50%; display: block; margin-left: auto; margin-right: auto;" />
|