Datasets:

dedemerve
/

DecisionTrees-AICFT-WorksheetScores

student stringclasses 15 values	worksheet stringclasses 7 values	item stringclasses 48 values	extracted_answer stringclasses 77 values	score float64 0 3	max_score float64 1 1 ⌀	confidence float64 0 1 ⌀	needs_review bool 2 classes
Amy	WS3	WS3_B1	null	0	1	0	true
Amy	WS3	WS3_B2	null	0	1	0	true
Amy	WS3	WS3_B3	null	0	1	0	true
Amy	WS3	WS3_B4	null	0	1	0	true
Amy	WS3	WS3_B5	null	0	1	0	true
Amy	WS3	WS3_B6	null	0	1	0	true
Amy	WS3	WS3_B7	null	0	1	0	true
Amy	WS3	WS3_B8	null	0	1	0	true
Amy	WS4	WS4_B1	null	0	1	0	true
Amy	WS4	WS4_B2	null	0	1	0	true
Amy	WS4	WS4_B3	null	0	1	0	true
Amy	WS4	WS4_B4	null	0	1	0	true
Amy	WS4	WS4_B5	null	0	1	0	true
Amy	WS5	WS5_row1	null	0	1	0	true
Amy	WS5	WS5_row2	null	0	1	0	true
Amy	WS5	WS5_row3	null	0	1	0	true
Amy	WS5	WS5_B25	null	0	1	0	true
Amy	WS6	WS6_root_feature	null	1	1	1	false
Amy	WS6	WS6_root_threshold	null	1	1	1	false
Amy	WS6	WS6_inner_feature	null	1	1	1	false
Amy	WS6	WS6_tree_validity	null	1	1	1	false
Amy	WS7	WS7_1	(bos)	0	1	null	false
Amy	WS7	WS7_2	(bos)	0	1	null	false
Amy	WS7	WS7_3	≤ 10.7	0	1	null	false
Amy	WS7	WS7_4	> 10.7	0	1	null	false
Amy	WS7	WS7_5	(bos)	0	1	null	false
Amy	WS7	WS7_6	(bos)	0	1	null	false
Amy	WS7	WS7_7	(bos)	0	1	null	false
Amy	WS10	WS10_B1	4	1	1	0.8	false
Amy	WS10	WS10_B2	3	1	1	0.8	false
Amy	WS10	WS10_B3	2	1	1	0.8	false
Amy	WS10	WS10_B4	2	0	1	0.88	false
Amy	WS10	WS10_B5	1	0	1	0.88	false
Amy	WS10	WS10_B6	0	0	1	0.88	false
Amy	WS10	WS10_B7	0	0	1	0.88	false
Amy	WS10	WS10_B8	408	1	1	0.8	false
Bruno	WS1	WS1_B1	Etiket	0.5	1	0.59	true
Bruno	WS1	WS1_B2	Nesne	0.5	1	0.59	true
Bruno	WS1	WS1_B3	Değişken	0.5	1	0.59	true
Bruno	WS1	WS1_B4	Özellik	0.5	1	0.59	true
Bruno	WS1	WS1_B5	Nesne	0.5	1	0.59	true
Bruno	WS1	WS1_B6	nesne	0.5	1	0.59	true
Bruno	WS1	WS1_B7	değişken	0.5	1	0.59	true
Bruno	WS1	WS1_B8	değişken	0.5	1	0.59	true
Bruno	WS1	WS1_B9	Enerji - Yağ - Doymuş Yağ - Karbonhidrat - Şeker - Protein - Tuz	1	1	0.8	false
Bruno	WS1	WS1_B10	Nesne	0.5	1	0.59	true
Bruno	WS1	WS1_B11	etiket	0.5	1	0.59	true
Bruno	WS3	WS3_B1	null	0	1	0	true
Bruno	WS3	WS3_B2	null	0	1	0	true
Bruno	WS3	WS3_B3	null	0	1	0	true
Bruno	WS3	WS3_B4	null	0	1	0	true
Bruno	WS3	WS3_B5	null	0	1	0	true
Bruno	WS3	WS3_B6	null	0	1	0	true
Bruno	WS3	WS3_B7	null	0	1	0	true
Bruno	WS3	WS3_B8	null	0	1	0	true
Bruno	WS4	WS4_B1	null	0	1	0	true
Bruno	WS4	WS4_B2	null	0	1	0	true
Bruno	WS4	WS4_B3	null	0	1	0	true
Bruno	WS4	WS4_B4	null	0	1	0	true
Bruno	WS4	WS4_B5	null	0	1	0	true
Bruno	WS5	WS5_rows	null	3	null	null	false
Bruno	WS5	WS5_B25	Protein ≤ 2.55	1	1	null	false
Bruno	WS6	WS6_root_feature	null	1	1	1	false
Bruno	WS6	WS6_root_threshold	null	1	1	1	false
Bruno	WS6	WS6_inner_feature	null	1	1	1	false
Bruno	WS6	WS6_tree_validity	null	0.5	1	0.85	false
Bruno	WS7	WS7_1	< 190.0	0	1	null	false
Bruno	WS7	WS7_2	> 190.0	0	1	null	false
Bruno	WS7	WS7_3	< 11.0	0	1	null	false
Bruno	WS7	WS7_4	> 11.0	0	1	null	false
Bruno	WS7	WS7_5	(bos)	0	1	null	false
Bruno	WS7	WS7_6	(bos)	0	1	null	false
Bruno	WS7	WS7_7	(bos)	0	1	null	false
Bruno	WS10	WS10_B1	4	1	1	0.8	false
Bruno	WS10	WS10_B2	3	1	1	0.8	false
Bruno	WS10	WS10_B3	2	1	1	0.8	false
Bruno	WS10	WS10_B4	3	1	1	0.8	false
Bruno	WS10	WS10_B5	2	1	1	0.8	false
Bruno	WS10	WS10_B6	1	1	1	0.8	false
Bruno	WS10	WS10_B7	2	1	1	0.8	false
Bruno	WS10	WS10_B8	408	1	1	0.8	false
Helena	WS1	WS1_B1	Etiket	0.5	1	0.59	true
Helena	WS1	WS1_B2	Nesne	0.5	1	0.59	true
Helena	WS1	WS1_B3	Karakteristik	0.5	1	0.59	true
Helena	WS1	WS1_B4	Değişken	0.5	1	0.59	true
Helena	WS1	WS1_B5	nesne	0.5	1	0.59	true
Helena	WS1	WS1_B6	nesne	0.5	1	0.59	true
Helena	WS1	WS1_B7	karakteristik	0.5	1	0.59	true
Helena	WS1	WS1_B8	7	0	1	0.88	false
Helena	WS1	WS1_B9	enerji, yağ, doymuş yağ, karbonhidrat, şeker, protein, tuz	0.5	1	0.59	true
Helena	WS1	WS1_B10	nesne (fındıklı gofret)	0.5	1	0.59	true
Helena	WS1	WS1_B11	etiket	0.5	1	0.59	true
Helena	WS3	WS3_B1	null	0	1	0	true
Helena	WS3	WS3_B2	null	0	1	0	true
Helena	WS3	WS3_B3	null	0	1	0	true
Helena	WS3	WS3_B4	null	0	1	0	true
Helena	WS3	WS3_B5	null	0	1	0	true
Helena	WS3	WS3_B6	null	0	1	0	true
Helena	WS3	WS3_B7	null	0	1	0	true
Helena	WS3	WS3_B8	null	0	1	0	true

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DecisionTrees-AICFT-WorksheetScores

Item-level rubric scores for 15 pre-service teachers across seven paper worksheets from a decision tree learning activity. Responses were extracted from scanned worksheets using a language model pipeline and scored against a researcher-designed rubric.

This dataset is a companion to DecisionTrees-AICFT-Frames and DecisionTrees-AICFT-CODAP-Arbor-LogFile.

Dataset at a glance

Property	Value
Participants	15 pseudonymised pre-service teachers
Worksheets	WS1, WS3, WS4, WS5, WS6, WS7, WS10
Total rows	589 (one row per student x worksheet item)
Scoring	Researcher rubric; partial credit (0 / 0.5 / 1.0) possible
Extraction	Language model OCR pipeline
Language	Turkish (student responses), English (labels)
License	CC BY 4.0

Excluded worksheets

Worksheet	Reason
WS11	OCR extraction failed for all students (PDF quality issue)
WS12	Scoring pipeline was not completed

Columns

Column	Description
`student`	Participant pseudonym
`worksheet`	Worksheet code (WS1, WS3, WS4, WS5, WS6, WS7, WS10)
`item`	Item identifier within the worksheet (e.g. WS1_B1)
`extracted_answer`	What the student wrote, as read by the OCR pipeline
`score`	Rubric score assigned (0, 0.5, or 1.0)
`max_score`	Maximum possible score for this item
`confidence`	Pipeline confidence in the score (0-1)
`needs_review`	Whether the researcher flagged this item for manual review

Interpretive notes

Extracted answers are machine-read from handwritten worksheets. Reading errors are possible.
Scores reflect the rubric pipeline output reviewed in bulk, not item-by-item human judgement.
needs_review = True indicates the pipeline was uncertain; treat those scores with additional caution.
The interactive score matrix for all students and worksheets is available on the companion website.

Related resources

Resource	URL
Frame dataset	https://huggingface.co/datasets/dedemerve/DecisionTrees-AICFT-Frames
CODAP log dataset	https://huggingface.co/datasets/dedemerve/DecisionTrees-AICFT-CODAP-Arbor-LogFile
Companion research archive	https://dedemerve.github.io/DecisionTrees-AICFT-Assessor/
Source repository	https://github.com/dedemerve/DecisionTrees-AICFT-Assessor

Citation

Dede, M. (2026). DecisionTrees-AICFT-WorksheetScores. Hugging Face. https://huggingface.co/datasets/dedemerve/DecisionTrees-AICFT-WorksheetScores

@dataset{dede2026worksheetscores,
  author    = {Dede, Merve},
  title     = {DecisionTrees-AICFT-WorksheetScores},
  year      = {2026},
  publisher = {Hugging Face},
  url       = {https://huggingface.co/datasets/dedemerve/DecisionTrees-AICFT-WorksheetScores}
}

License

CC BY 4.0 -- Share and adapt with attribution.

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