Datasets:

Cleanlab
/

student-grades-regression

exam_1 int64 0 100	exam_2 int64 0 100	exam_3 int64 27 100	notes stringclasses 4 values	final_score float64 0 100	true_final_score float64 29 107
72	81	80	null	73.3	73.3
89	62	93	null	83.8	83.8
97	0	94	null	73.5	73.5
80	76	96	missed class frequently -10	78.6	78.6
67	87	95	missed homework frequently -10	74.1	74.1
89	70	90	missed homework frequently -10	64.9	78.3
91	90	74	null	84.5	84.5
94	79	79	great participation +10	80.6	88.5
61	100	94	null	83.4	83.4
90	82	86	null	82.4	82.4
91	97	53	great participation +10	89.8	89.8
89	66	90	null	85.9	85.9
85	93	84	null	90.6	90.6
89	72	98	missed homework frequently -10	80.2	80.2
95	77	87	null	95.7	95.7
85	49	83	null	73.4	73.4
90	87	99	null	93.7	93.7
80	0	98	null	63.9	63.9
85	74	87	missed homework frequently -10	68.9	68.9
0	77	81	null	56.2	56.2
74	80	90	null	78	78
54	76	96	null	79.7	79.7
83	88	57	missed homework frequently -10	97.1	61.1
100	83	74	null	87.3	87.3
95	80	86	null	89.6	89.6
89	86	90	great final presentation +10	99.5	99.5
71	76	56	null	70.1	70.1
96	91	90	great final presentation +10	100	107.1
96	77	79	missed class frequently -10	68.7	68.7
78	75	96	null	81.2	81.2
86	98	95	null	90.9	90.9
82	77	92	missed class frequently -10	74.3	74.3
93	88	84	great participation +10	94.9	94.9
76	78	70	null	78.4	70.8
78	85	84	null	47.1	85
87	57	76	null	75.8	75.8
89	77	68	null	100	82.8
59	82	61	null	66.5	66.5
54	80	81	null	70.6	70.6
85	94	84	null	91.2	91.2
74	94	84	great participation +10	90.1	90.1
81	76	97	great participation +10	97.3	97.3
82	68	80	null	79.6	79.6
86	85	89	null	86.9	83.9
73	64	87	missed homework frequently -10	66.3	66.3
67	63	83	great participation +10	86.9	86.9
96	0	90	null	64.7	64.7
95	83	83	null	88.1	88.1
80	85	93	great participation +10	95.1	95.1
66	95	95	null	91.8	91.8
80	60	80	null	78.2	78.2
84	55	53	missed class frequently -10	54.5	54.5
62	92	95	null	88.7	88.7
70	96	81	great final presentation +10	94.7	94.7
0	79	65	null	48.4	48.4
0	92	60	null	48	48
75	83	69	null	8.9	75.3
66	95	86	null	85.9	85.9
53	100	78	great final presentation +10	85.4	85.4
87	72	50	great final presentation +10	55.4	80.7
88	71	93	null	88.2	88.2
73	68	61	missed homework frequently -10	48.4	56.7
82	68	48	null	65.4	65.4
71	0	75	null	48.9	48.9
89	95	72	null	80.1	80.1
88	56	80	null	77.2	77.2
78	63	75	great final presentation +10	71	84.2
85	91	84	null	84.1	84.1
99	87	99	great final presentation +10	100	100.6
84	97	99	null	88.5	88.5
82	94	99	missed class frequently -10	87	87
83	97	75	great final presentation +10	92.3	92.3
99	84	82	missed class frequently -10	79	79
91	63	48	great participation +10	74.8	74.8
93	47	79	great participation +10	79.4	79.4
99	90	90	null	89.6	89.6
86	86	85	missed class frequently -10	73.3	73.3
98	92	69	null	79.6	79.6
73	57	96	null	79.6	79.6
86	64	96	null	81.3	81.3
0	49	93	null	57.9	57.9
92	95	92	null	99.7	99.7
0	89	91	null	61.1	61.1
68	63	96	missed class frequently -10	70.5	70.5
67	76	33	null	57.1	57.1
85	96	48	null	66.3	72.6
72	92	85	great participation +10	90.9	90.9
94	41	91	great participation +10	89.9	89.9
87	78	82	missed homework frequently -10	74.3	74.3
65	72	86	great participation +10	76.8	76.8
87	58	34	missed homework frequently -10	47	47
98	97	68	missed homework frequently -10	72.2	72.2
0	79	65	null	50.9	50.9
93	90	82	null	87.2	87.2
89	65	74	missed homework frequently -10	56.5	56.5
93	95	67	null	86.2	86.2
52	95	72	great participation +10	80.1	80.1
85	79	87	null	81.4	81.4
61	54	100	null	74.1	74.1
76	70	73	great participation +10	85.4	85.4

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Student Grades Regression Dataset

This dataset contains student grades data for regression tasks. It is designed for demonstrating regression techniques and data quality methods.

Dataset Description

The dataset includes:

train.csv - Training data with student features and grade labels
test.csv - Test data for evaluation

This is a regression version of the student grades dataset, where the target variable is continuous.

Usage

import pandas as pd

# Load the dataset
train_data = pd.read_csv("hf://datasets/Cleanlab/student-grades-regression/train.csv")
test_data = pd.read_csv("hf://datasets/Cleanlab/student-grades-regression/test.csv")

print(train_data.head())

License

MIT License

Downloads last month: 44

Size of downloaded dataset files:

29.5 kB

Size of the auto-converted Parquet files:

16.2 kB

Number of rows:

979