Datasets:
sample_id string | sample_num_id int64 | source_shard_idx int32 | source_row_idx int32 | constraint_substrate_id int16 | constraint_prototype_family_hint int16 | constraint_allow_top_metal uint8 | constraint_allow_bottom_metal uint8 | constraint_max_metal_layers float32 | structure_layer_count uint8 | target_field_uint16 list | constraint_allowed_material_mask list | constraint_allowed_layer_count_mask list | structure_material_sequence_ids list | structure_material_role_sequence_ids list | structure_coarse_thickness_bin_ids list | structure_continuous_thickness_values list |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
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sample_00000006 | 6 | 0 | 6 | 1 | 4 | 1 | 1 | 2 | 14 | [
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sample_00000008 | 8 | 0 | 8 | 1 | 1 | 1 | 1 | 2 | 6 | [
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sample_00000011 | 11 | 0 | 11 | 1 | 3 | 1 | 1 | 2 | 16 | [
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sample_00000012 | 12 | 0 | 12 | 0 | 0 | 1 | 1 | 2 | 9 | [
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sample_00000013 | 13 | 0 | 13 | 0 | 5 | 1 | 1 | 2 | 12 | [
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End of preview. Expand in Data Studio
YAML Metadata Warning:The task_ids "regression" 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, text2text-generation, 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
This dataset is a reduced Hugging Face friendly parquet export of the PhyOptoFlow optical multilayer thin-film dataset. It contains 10,000,000 training samples, 500,000 validation samples, and 500,000 test samples. Each sample stores compact uint16 spectral targets together with padded structural labels and fabrication-related constraints for inverse design and spectrum-conditioned modeling tasks.
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