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Datasets:
Sangjeong
/
TestData2

Tasks:
Text Classification
Modalities:
Text
Formats:
parquet
Sub-tasks:
language-modeling
Size:
10K - 100K
Libraries:
Datasets
Dask
License:
Dataset card Data Studio Files Community
1
Dataset Viewer
Auto-converted to Parquet
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image
dict
image_id
stringlengths
12
12
lesion_id
stringlengths
11
11
dx
stringclasses
7 values
dx_type
stringclasses
4 values
age
float64
0
85
⌀
sex
stringclasses
3 values
localization
stringclasses
15 values
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ISIC_0024329
HAM_0002954
actinic_keratoses
histo
75
female
lower extremity
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ISIC_0024372
HAM_0005389
actinic_keratoses
histo
70
male
lower extremity
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ISIC_0024418
HAM_0003380
actinic_keratoses
histo
75
female
lower extremity
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ISIC_0024450
HAM_0005505
actinic_keratoses
histo
50
male
upper extremity
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ISIC_0024463
HAM_0004568
actinic_keratoses
histo
50
male
upper extremity
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ISIC_0024468
HAM_0006301
actinic_keratoses
histo
75
male
neck
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ISIC_0024470
HAM_0006220
actinic_keratoses
histo
60
male
upper extremity
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ISIC_0024511
HAM_0001505
actinic_keratoses
histo
55
female
face
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ISIC_0024517
HAM_0001894
actinic_keratoses
histo
65
male
back
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ISIC_0024522
HAM_0005650
actinic_keratoses
histo
65
male
lower extremity
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YAML Metadata Warning: The task_categories "lee-sangjeong" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, text2text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, other
YAML Metadata Warning: The task_ids "lee-sangjeong" is not in the official list: acceptability-classification, entity-linking-classification, fact-checking, intent-classification, language-identification, multi-class-classification, multi-label-classification, multi-input-text-classification, natural-language-inference, semantic-similarity-classification, sentiment-classification, topic-classification, semantic-similarity-scoring, sentiment-scoring, sentiment-analysis, hate-speech-detection, text-scoring, named-entity-recognition, part-of-speech, parsing, lemmatization, word-sense-disambiguation, coreference-resolution, extractive-qa, open-domain-qa, closed-domain-qa, news-articles-summarization, news-articles-headline-generation, dialogue-modeling, dialogue-generation, conversational, language-modeling, text-simplification, explanation-generation, abstractive-qa, open-domain-abstractive-qa, closed-domain-qa, open-book-qa, closed-book-qa, slot-filling, masked-language-modeling, keyword-spotting, speaker-identification, audio-intent-classification, audio-emotion-recognition, audio-language-identification, multi-label-image-classification, multi-class-image-classification, face-detection, vehicle-detection, instance-segmentation, semantic-segmentation, panoptic-segmentation, image-captioning, image-inpainting, image-colorization, super-resolution, grasping, task-planning, tabular-multi-class-classification, tabular-multi-label-classification, tabular-single-column-regression, rdf-to-text, multiple-choice-qa, multiple-choice-coreference-resolution, document-retrieval, utterance-retrieval, entity-linking-retrieval, fact-checking-retrieval, univariate-time-series-forecasting, multivariate-time-series-forecasting, visual-question-answering, document-question-answering, pose-estimation
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Size of downloaded dataset files:
3.69 GB
Size of the auto-converted Parquet files:
3.69 GB
Number of rows:
13,354

Models trained or fine-tuned on Sangjeong/TestData2