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TabBench / classification /openml_cc18 /analcatdata_dmft /test.jsonl
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{"text": "The DMFT_Begin is 7. The DMFT_End is 0. The Gender is Male. The Ethnic is White.", "label": "Health_education", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 7. The DMFT_End is 3. The Gender is Male. The Ethnic is White.", "label": "nan", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 7. The DMFT_End is 5. The Gender is Female. The Ethnic is White.", "label": "Health_education", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 5. The DMFT_End is 0. The Gender is Male. The Ethnic is Dark.", "label": "Mouthwash", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 6. The DMFT_End is 3. The Gender is Female. The Ethnic is White.", "label": "nan", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 1. The DMFT_End is 0. The Gender is Female. The Ethnic is White.", "label": "Oral_hygiene", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 3. The DMFT_End is 1. The Gender is Male. The Ethnic is Dark.", "label": "Oral_hygiene", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 4. The DMFT_End is 4. The Gender is Male. The Ethnic is Dark.", "label": "nan", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 0. The DMFT_End is 0. The Gender is Male. The Ethnic is Black.", "label": "All_methods", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 2. The DMFT_End is 1. The Gender is Male. The Ethnic is White.", "label": "Oral_hygiene", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 0. The DMFT_End is 2. The Gender is Female. The Ethnic is Black.", "label": "Diet_enrichment", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 5. The DMFT_End is 1. The Gender is Female. The Ethnic is Dark.", "label": "Health_education", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 4. The DMFT_End is 3. The Gender is Female. The Ethnic is Dark.", "label": "Mouthwash", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 0. The DMFT_End is 1. The Gender is Male. The Ethnic is Black.", "label": "Diet_enrichment", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 2. The DMFT_End is 2. The Gender is Female. The Ethnic is White.", "label": "Health_education", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 4. The DMFT_End is 0. The Gender is Female. The Ethnic is White.", "label": "Health_education", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 0. The DMFT_End is 0. The Gender is Female. The Ethnic is White.", "label": "Health_education", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 3. The DMFT_End is 1. The Gender is Female. The Ethnic is Black.", "label": "Oral_hygiene", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 3. The DMFT_End is 3. The Gender is Female. The Ethnic is White.", "label": "Oral_hygiene", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 4. The DMFT_End is 0. The Gender is Male. The Ethnic is White.", "label": "Health_education", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 5. The DMFT_End is 1. The Gender is Female. The Ethnic is White.", "label": "All_methods", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 4. The DMFT_End is 4. The Gender is Male. The Ethnic is Dark.", "label": "Health_education", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 7. The DMFT_End is 0. The Gender is Male. The Ethnic is Dark.", "label": "Diet_enrichment", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 2. The DMFT_End is 0. The Gender is Female. The Ethnic is Dark.", "label": "Diet_enrichment", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 0. The DMFT_End is 0. The Gender is Male. The Ethnic is Black.", "label": "Mouthwash", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 1. The DMFT_End is 3. The Gender is Male. The Ethnic is White.", "label": "Mouthwash", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 4. The DMFT_End is 0. The Gender is Male. The Ethnic is Dark.", "label": "Health_education", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 3. The DMFT_End is 0. The Gender is Male. The Ethnic is White.", "label": "nan", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 2. The DMFT_End is 2. The Gender is Male. The Ethnic is White.", "label": "Oral_hygiene", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 4. The DMFT_End is 0. The Gender is Female. The Ethnic is White.", "label": "nan", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 8. The DMFT_End is 4. The Gender is Male. The Ethnic is Dark.", "label": "All_methods", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 5. The DMFT_End is 2. The Gender is Female. The Ethnic is Dark.", "label": "All_methods", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 5. The DMFT_End is 1. The Gender is Male. The Ethnic is White.", "label": "nan", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 6. The DMFT_End is 4. The Gender is Male. The Ethnic is White.", "label": "Oral_hygiene", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 0. The DMFT_End is 0. The Gender is Female. The Ethnic is White.", "label": "Health_education", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 0. The DMFT_End is 1. The Gender is Male. The Ethnic is Black.", "label": "Diet_enrichment", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 5. The DMFT_End is 4. The Gender is Female. The Ethnic is White.", "label": "nan", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 0. The DMFT_End is 0. The Gender is Female. The Ethnic is Black.", "label": "nan", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 3. The DMFT_End is 0. The Gender is Female. The Ethnic is White.", "label": "Diet_enrichment", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 0. The DMFT_End is 0. The Gender is Male. The Ethnic is Dark.", "label": "Mouthwash", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 2. The DMFT_End is 1. The Gender is Male. The Ethnic is Dark.", "label": "Mouthwash", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 7. The DMFT_End is 5. The Gender is Male. The Ethnic is White.", "label": "Diet_enrichment", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 4. The DMFT_End is 5. The Gender is Male. The Ethnic is White.", "label": "nan", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 8. The DMFT_End is 2. The Gender is Male. The Ethnic is Dark.", "label": "Diet_enrichment", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 8. The DMFT_End is 4. The Gender is Male. The Ethnic is Dark.", "label": "All_methods", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 5. The DMFT_End is 1. The Gender is Male. The Ethnic is Dark.", "label": "All_methods", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 0. The DMFT_End is 0. The Gender is Male. The Ethnic is Dark.", "label": "Mouthwash", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 5. The DMFT_End is 1. The Gender is Female. The Ethnic is White.", "label": "Mouthwash", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 0. The DMFT_End is 0. The Gender is Male. The Ethnic is Black.", "label": "nan", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 1. The DMFT_End is 2. The Gender is Female. The Ethnic is Black.", "label": "Health_education", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 3. The DMFT_End is 3. The Gender is Male. The Ethnic is Dark.", "label": "Health_education", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 6. The DMFT_End is 3. The Gender is Female. The Ethnic is White.", "label": "Diet_enrichment", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 1. The DMFT_End is 0. The Gender is Female. The Ethnic is Black.", "label": "All_methods", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 0. The DMFT_End is 0. The Gender is Male. The Ethnic is Dark.", "label": "nan", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 6. The DMFT_End is 0. The Gender is Male. The Ethnic is Black.", "label": "All_methods", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 0. The DMFT_End is 0. The Gender is Male. The Ethnic is White.", "label": "Mouthwash", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 0. The DMFT_End is 1. The Gender is Female. The Ethnic is White.", "label": "Oral_hygiene", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 2. The DMFT_End is 2. The Gender is Male. The Ethnic is Dark.", "label": "All_methods", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 5. The DMFT_End is 4. The Gender is Male. The Ethnic is Dark.", "label": "Mouthwash", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 0. The DMFT_End is 0. The Gender is Male. The Ethnic is White.", "label": "Oral_hygiene", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 5. The DMFT_End is 5. The Gender is Female. The Ethnic is White.", "label": "nan", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 2. The DMFT_End is 3. The Gender is Female. The Ethnic is Black.", "label": "nan", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 0. The DMFT_End is 0. The Gender is Male. The Ethnic is Dark.", "label": "Mouthwash", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 0. The DMFT_End is 1. The Gender is Female. The Ethnic is Dark.", "label": "Diet_enrichment", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 7. The DMFT_End is 1. The Gender is Female. The Ethnic is White.", "label": "Mouthwash", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 0. The DMFT_End is 1. The Gender is Male. The Ethnic is Dark.", "label": "All_methods", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 2. The DMFT_End is 1. The Gender is Male. The Ethnic is White.", "label": "Health_education", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 4. The DMFT_End is 0. The Gender is Female. The Ethnic is Dark.", "label": "Oral_hygiene", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 0. The DMFT_End is 3. The Gender is Female. The Ethnic is White.", "label": "Diet_enrichment", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 3. The DMFT_End is 1. The Gender is Female. The Ethnic is White.", "label": "All_methods", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 4. The DMFT_End is 0. The Gender is Male. The Ethnic is Black.", "label": "All_methods", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 0. The DMFT_End is 0. The Gender is Female. The Ethnic is White.", "label": "Mouthwash", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 6. The DMFT_End is 3. The Gender is Female. The Ethnic is Dark.", "label": "Mouthwash", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 4. The DMFT_End is 4. The Gender is Female. The Ethnic is White.", "label": "Mouthwash", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 8. The DMFT_End is 3. The Gender is Male. The Ethnic is Dark.", "label": "Diet_enrichment", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 2. The DMFT_End is 0. The Gender is Male. The Ethnic is White.", "label": "Oral_hygiene", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 2. The DMFT_End is 0. The Gender is Female. The Ethnic is White.", "label": "Mouthwash", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 0. The DMFT_End is 0. The Gender is Female. The Ethnic is White.", "label": "nan", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 7. The DMFT_End is 4. The Gender is Male. The Ethnic is Dark.", "label": "Diet_enrichment", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 2. The DMFT_End is 0. The Gender is Female. The Ethnic is White.", "label": "Oral_hygiene", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 3. The DMFT_End is 2. The Gender is Female. The Ethnic is White.", "label": "Oral_hygiene", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 2. The DMFT_End is 3. The Gender is Female. The Ethnic is White.", "label": "Diet_enrichment", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}
{"text": "The DMFT_Begin is 7. The DMFT_End is 5. The Gender is Male. The Ethnic is White.", "label": "All_methods", "dataset": "analcatdata_dmft", "benchmark": "openml_cc18", "task_type": "clf"}