Datasets:

nnirp
/

NNIRP-dataset-sample

	{
	"schema_version": 6,
	"description": "Atomic architectural-lineage clusters for the 190-case ONNX dataset. Each case belongs to exactly one cluster; each cluster's members share a sub-family; each sub-family maps to exactly one family. Clusters are the atomic unit for train/val/test splits (no cluster straddles two splits). Schema v6: cluster boundaries tightened to enforce the bigram-set equivalence rule (see docs/taxonomy-rationale.md \u00a73) \u2014 19 clusters split/unmerged, 43 new clusters created (total 156). Un-done schema-v5 \u00a7B merges that fail the bigram Jaccard < 0.40 test: bit \u2194 ResNet_lineage (J=0.125); openai_gpt \u2194 GPT_lineage (J=0.42). See docs/cluster-decision-log.md for the full per-cluster record.",
	"subfamily_to_family": {
	"audio_encoder": "attention_encoder",
	"bart_family": "attention_encoder_decoder",
	"bert_lineage": "attention_encoder",
	"cnn_classification": "convolutional",
	"cnn_hybrid": "convolutional",
	"decoder_classic": "attention_decoder",
	"decoder_llama_lineage": "attention_decoder",
	"decoder_misc": "attention_decoder",
	"decoder_moe": "attention_decoder",
	"decoder_vlm": "attention_decoder",
	"detection_detr": "detection",
	"detection_ocr": "detection",
	"detection_segmentation": "detection",
	"detection_yolo_cnn": "detection",
	"recurrent_lstm": "recurrent",
	"recurrent_ssm": "recurrent",
	"speech_encdec": "attention_encoder_decoder",
	"t5_family": "attention_encoder_decoder",
	"text_encoder_bert_variants": "attention_encoder",
	"text_encoder_efficient": "attention_encoder",
	"text_encoder_embedding": "attention_encoder",
	"text_encoder_layout": "attention_encoder",
	"text_encoder_long_context": "attention_encoder",
	"text_encoder_multimodal": "attention_encoder",
	"vision_encdec": "attention_encoder_decoder",
	"vit_image": "attention_encoder",
	"vit_video": "attention_encoder",
	"vit_vlm_encoder": "attention_encoder"
	},
	"clusters": {
	"AIMv2_lineage": {
	"sub_family": "vit_image",
	"cases": [
	900
	]
	},
	"ALBERT_lineage": {
	"sub_family": "text_encoder_bert_variants",
	"cases": [
	829,
	902
	]
	},
	"BART_lineage": {
	"sub_family": "bart_family",
	"cases": [
	906,
	915,
	916,
	1010,
	1013,
	1041
	]
	},
	"BERT_lineage": {
	"sub_family": "bert_lineage",
	"cases": [
	792,
	908,
	920,
	1057,
	1108
	]
	},
	"CLIP_lineage": {
	"sub_family": "vit_vlm_encoder",
	"cases": [
	904,
	921,
	923
	]
	},
	"ConvNeXt_lineage": {
	"sub_family": "cnn_classification",
	"cases": [
	881,
	931
	]
	},
	"DETR_lineage": {
	"sub_family": "detection_detr",
	"cases": [
	929,
	936,
	944
	]
	},
	"EfficientNet_lineage": {
	"sub_family": "cnn_classification",
	"cases": [
	877
	]
	},
	"GPTJ_lineage": {
	"sub_family": "decoder_misc",
	"cases": [
	979
	]
	},
	"GPT_lineage": {
	"sub_family": "decoder_classic",
	"cases": [
	794,
	975
	]
	},
	"Gemma_lineage": {
	"sub_family": "decoder_llama_lineage",
	"cases": [
	857,
	858,
	968
	]
	},
	"LLaMA_lineage": {
	"sub_family": "decoder_llama_lineage",
	"cases": [
	795,
	1000
	]
	},
	"MobileBERT_lineage": {
	"sub_family": "text_encoder_efficient",
	"cases": [
	862,
	1019
	]
	},
	"MobileNet_lineage": {
	"sub_family": "cnn_classification",
	"cases": [
	880,
	1021
	]
	},
	"MobileViT_lineage": {
	"sub_family": "vit_image",
	"cases": [
	1022
	]
	},
	"ModernBERT_lineage": {
	"sub_family": "text_encoder_bert_variants",
	"cases": [
	861,
	1024
	]
	},
	"Nystromformer_lineage": {
	"sub_family": "text_encoder_long_context",
	"cases": [
	864,
	1033
	]
	},
	"PVT_lineage": {
	"sub_family": "vit_image",
	"cases": [
	1047
	]
	},
	"Qwen_lineage": {
	"sub_family": "decoder_llama_lineage",
	"cases": [
	860,
	1049,
	1051
	]
	},
	"RegNet_lineage": {
	"sub_family": "cnn_classification",
	"cases": [
	882
	]
	},
	"ResNet_lineage": {
	"sub_family": "cnn_classification",
	"cases": [
	875,
	876,
	1056
	]
	},
	"SqueezeBERT_lineage": {
	"sub_family": "text_encoder_efficient",
	"cases": [
	863,
	1076
	]
	},
	"Swin_lineage": {
	"sub_family": "vit_image",
	"cases": [
	1078
	]
	},
	"T5_lineage": {
	"sub_family": "t5_family",
	"cases": [
	1030,
	1082,
	1088
	]
	},
	"UniSpeech_lineage": {
	"sub_family": "audio_encoder",
	"cases": [
	1089,
	1090
	]
	},
	"ViT_canonical_lineage": {
	"sub_family": "vit_image",
	"cases": [
	1095,
	1097
	]
	},
	"Wav2Vec2_lineage": {
	"sub_family": "audio_encoder",
	"cases": [
	984,
	1100
	]
	},
	"XLM_lineage": {
	"sub_family": "bert_lineage",
	"cases": [
	1107
	]
	},
	"aimv2_vision_model": {
	"sub_family": "vit_image",
	"cases": [
	901
	]
	},
	"align": {
	"sub_family": "vit_vlm_encoder",
	"cases": [
	903
	]
	},
	"attention_lstm": {
	"sub_family": "recurrent_lstm",
	"cases": [
	867
	]
	},
	"audio_spectrogram_transformer": {
	"sub_family": "audio_encoder",
	"cases": [
	905
	]
	},
	"beit": {
	"sub_family": "vit_image",
	"cases": [
	907
	]
	},
	"bert_generation": {
	"sub_family": "bert_lineage",
	"cases": [
	909
	]
	},
	"bit": {
	"sub_family": "cnn_classification",
	"cases": [
	913
	]
	},
	"blip": {
	"sub_family": "vision_encdec",
	"cases": [
	917
	]
	},
	"bloom": {
	"sub_family": "decoder_misc",
	"cases": [
	918
	]
	},
	"bros": {
	"sub_family": "text_encoder_layout",
	"cases": [
	919
	]
	},
	"clip_text_model": {
	"sub_family": "text_encoder_multimodal",
	"cases": [
	924
	]
	},
	"clip_vision_model": {
	"sub_family": "vit_vlm_encoder",
	"cases": [
	925
	]
	},
	"clipseg": {
	"sub_family": "vit_vlm_encoder",
	"cases": [
	926
	]
	},
	"cnn_lstm": {
	"sub_family": "recurrent_lstm",
	"cases": [
	868
	]
	},
	"codegen": {
	"sub_family": "decoder_misc",
	"cases": [
	928
	]
	},
	"convbert": {
	"sub_family": "text_encoder_bert_variants",
	"cases": [
	930
	]
	},
	"convnextv2": {
	"sub_family": "cnn_classification",
	"cases": [
	932
	]
	},
	"cvt": {
	"sub_family": "vit_image",
	"cases": [
	934
	]
	},
	"data2vec_audio": {
	"sub_family": "audio_encoder",
	"cases": [
	937
	]
	},
	"data2vec_text": {
	"sub_family": "text_encoder_bert_variants",
	"cases": [
	938
	]
	},
	"deberta_pv3": {
	"sub_family": "text_encoder_bert_variants",
	"cases": [
	830
	]
	},
	"decision_transformer": {
	"sub_family": "decoder_misc",
	"cases": [
	941
	]
	},
	"deepspeech": {
	"sub_family": "recurrent_lstm",
	"cases": [
	854
	]
	},
	"deformable_detr": {
	"sub_family": "detection_detr",
	"cases": [
	942
	]
	},
	"densenet_pv3": {
	"sub_family": "cnn_classification",
	"cases": [
	879
	]
	},
	"dinov3": {
	"sub_family": "vit_image",
	"cases": [
	947
	]
	},
	"distilbert": {
	"sub_family": "text_encoder_efficient",
	"cases": [
	948
	]
	},
	"dpr": {
	"sub_family": "text_encoder_embedding",
	"cases": [
	950
	]
	},
	"efficientnet_hf": {
	"sub_family": "cnn_classification",
	"cases": [
	952
	]
	},
	"electra": {
	"sub_family": "text_encoder_bert_variants",
	"cases": [
	953
	]
	},
	"ernie": {
	"sub_family": "text_encoder_bert_variants",
	"cases": [
	954
	]
	},
	"esm": {
	"sub_family": "text_encoder_bert_variants",
	"cases": [
	956
	]
	},
	"eurobert": {
	"sub_family": "text_encoder_bert_variants",
	"cases": [
	957
	]
	},
	"falcon_pv3": {
	"sub_family": "decoder_misc",
	"cases": [
	831
	]
	},
	"fast_vlm": {
	"sub_family": "decoder_vlm",
	"cases": [
	959
	]
	},
	"flaubert": {
	"sub_family": "bert_lineage",
	"cases": [
	961
	]
	},
	"flava": {
	"sub_family": "text_encoder_multimodal",
	"cases": [
	962
	]
	},
	"florence2": {
	"sub_family": "vision_encdec",
	"cases": [
	963
	]
	},
	"fnet": {
	"sub_family": "text_encoder_bert_variants",
	"cases": [
	964
	]
	},
	"focalnet": {
	"sub_family": "cnn_hybrid",
	"cases": [
	965
	]
	},
	"gemma3n_audio": {
	"sub_family": "audio_encoder",
	"cases": [
	969
	]
	},
	"git": {
	"sub_family": "vision_encdec",
	"cases": [
	970
	]
	},
	"glpn": {
	"sub_family": "detection_segmentation",
	"cases": [
	973
	]
	},
	"got_ocr2": {
	"sub_family": "detection_ocr",
	"cases": [
	974
	]
	},
	"gpt_bigcode": {
	"sub_family": "decoder_misc",
	"cases": [
	976
	]
	},
	"gpt_neo": {
	"sub_family": "decoder_misc",
	"cases": [
	977
	]
	},
	"gpt_neox": {
	"sub_family": "decoder_misc",
	"cases": [
	832,
	978
	]
	},
	"granitemoehybrid": {
	"sub_family": "decoder_moe",
	"cases": [
	980
	]
	},
	"groupvit": {
	"sub_family": "vit_vlm_encoder",
	"cases": [
	982
	]
	},
	"hiera": {
	"sub_family": "vit_image",
	"cases": [
	983
	]
	},
	"ibert": {
	"sub_family": "text_encoder_bert_variants",
	"cases": [
	986
	]
	},
	"ijepa": {
	"sub_family": "vit_image",
	"cases": [
	988
	]
	},
	"inception_pv3": {
	"sub_family": "cnn_classification",
	"cases": [
	883
	]
	},
	"internvl_vision": {
	"sub_family": "vit_vlm_encoder",
	"cases": [
	990
	]
	},
	"jina_embeddings_v3": {
	"sub_family": "text_encoder_embedding",
	"cases": [
	992
	]
	},
	"kyutai_speech_to_text": {
	"sub_family": "speech_encdec",
	"cases": [
	993
	]
	},
	"layoutlm": {
	"sub_family": "text_encoder_layout",
	"cases": [
	994
	]
	},
	"levit": {
	"sub_family": "vit_image",
	"cases": [
	997
	]
	},
	"lfm2": {
	"sub_family": "decoder_misc",
	"cases": [
	998
	]
	},
	"llava": {
	"sub_family": "decoder_vlm",
	"cases": [
	1001
	]
	},
	"lstm_autoencoder": {
	"sub_family": "recurrent_lstm",
	"cases": [
	865
	]
	},
	"lstm_forecaster": {
	"sub_family": "recurrent_lstm",
	"cases": [
	856
	]
	},
	"lstm_lm": {
	"sub_family": "recurrent_lstm",
	"cases": [
	866
	]
	},
	"luke": {
	"sub_family": "text_encoder_bert_variants",
	"cases": [
	1005
	]
	},
	"m2m_100": {
	"sub_family": "bart_family",
	"cases": [
	1007
	]
	},
	"mamba2": {
	"sub_family": "recurrent_ssm",
	"cases": [
	1009
	]
	},
	"megatron_bert": {
	"sub_family": "bert_lineage",
	"cases": [
	1014
	]
	},
	"mgp_str": {
	"sub_family": "detection_ocr",
	"cases": [
	1015
	]
	},
	"mistral_pv3": {
	"sub_family": "decoder_llama_lineage",
	"cases": [
	859
	]
	},
	"mobilenet_v1": {
	"sub_family": "cnn_classification",
	"cases": [
	1020
	]
	},
	"mobilevit_v2": {
	"sub_family": "vit_image",
	"cases": [
	1023
	]
	},
	"modernbert_decoder": {
	"sub_family": "decoder_misc",
	"cases": [
	1025
	]
	},
	"mpnet": {
	"sub_family": "text_encoder_bert_variants",
	"cases": [
	1028
	]
	},
	"mra": {
	"sub_family": "text_encoder_bert_variants",
	"cases": [
	1029
	]
	},
	"mvp": {
	"sub_family": "bart_family",
	"cases": [
	1031
	]
	},
	"nomic_bert": {
	"sub_family": "text_encoder_embedding",
	"cases": [
	1032
	]
	},
	"olmo": {
	"sub_family": "decoder_misc",
	"cases": [
	1034
	]
	},
	"openai_gpt": {
	"sub_family": "decoder_classic",
	"cases": [
	1036
	]
	},
	"opt": {
	"sub_family": "decoder_misc",
	"cases": [
	1037
	]
	},
	"perceiver": {
	"sub_family": "text_encoder_long_context",
	"cases": [
	1042
	]
	},
	"plbart": {
	"sub_family": "bart_family",
	"cases": [
	1043
	]
	},
	"poolformer": {
	"sub_family": "cnn_hybrid",
	"cases": [
	1044
	]
	},
	"pp_doclayout_v3": {
	"sub_family": "detection_detr",
	"cases": [
	1045
	]
	},
	"pvt_v2": {
	"sub_family": "vit_image",
	"cases": [
	1048
	]
	},
	"qwen2_vl": {
	"sub_family": "decoder_vlm",
	"cases": [
	1050
	]
	},
	"reformer": {
	"sub_family": "text_encoder_long_context",
	"cases": [
	1053
	]
	},
	"regnet_hf": {
	"sub_family": "cnn_classification",
	"cases": [
	1054
	]
	},
	"rembert": {
	"sub_family": "text_encoder_bert_variants",
	"cases": [
	1055
	]
	},
	"roc_bert": {
	"sub_family": "bert_lineage",
	"cases": [
	1058
	]
	},
	"roformer": {
	"sub_family": "text_encoder_bert_variants",
	"cases": [
	1059
	]
	},
	"rt_detr": {
	"sub_family": "detection_detr",
	"cases": [
	1060
	]
	},
	"sam": {
	"sub_family": "detection_segmentation",
	"cases": [
	1063
	]
	},
	"segformer": {
	"sub_family": "detection_segmentation",
	"cases": [
	1067
	]
	},
	"seq2seq_attention": {
	"sub_family": "recurrent_lstm",
	"cases": [
	853
	]
	},
	"sew_d": {
	"sub_family": "audio_encoder",
	"cases": [
	1069
	]
	},
	"siglip": {
	"sub_family": "vit_vlm_encoder",
	"cases": [
	1070
	]
	},
	"smolvlm": {
	"sub_family": "decoder_vlm",
	"cases": [
	1072
	]
	},
	"speech_to_text": {
	"sub_family": "speech_encdec",
	"cases": [
	1073
	]
	},
	"splinter": {
	"sub_family": "bert_lineage",
	"cases": [
	1075
	]
	},
	"swiftformer": {
	"sub_family": "vit_image",
	"cases": [
	1077
	]
	},
	"swin_v2": {
	"sub_family": "vit_image",
	"cases": [
	1080
	]
	},
	"t5_encoder_pv3": {
	"sub_family": "text_encoder_bert_variants",
	"cases": [
	793
	]
	},
	"tacotron2": {
	"sub_family": "recurrent_lstm",
	"cases": [
	855
	]
	},
	"tapas": {
	"sub_family": "text_encoder_layout",
	"cases": [
	1084
	]
	},
	"textnet": {
	"sub_family": "detection_ocr",
	"cases": [
	1085
	]
	},
	"timesformer": {
	"sub_family": "vit_video",
	"cases": [
	1086
	]
	},
	"udop": {
	"sub_family": "t5_family",
	"cases": [
	1087
	]
	},
	"vgg_pv3": {
	"sub_family": "cnn_classification",
	"cases": [
	878
	]
	},
	"videomae": {
	"sub_family": "vit_video",
	"cases": [
	1092
	]
	},
	"visual_bert": {
	"sub_family": "text_encoder_multimodal",
	"cases": [
	1094
	]
	},
	"vit_mae": {
	"sub_family": "vit_image",
	"cases": [
	1096
	]
	},
	"vivit": {
	"sub_family": "vit_video",
	"cases": [
	1099
	]
	},
	"wav2vec2_bert": {
	"sub_family": "audio_encoder",
	"cases": [
	1101
	]
	},
	"wav2vec2_conformer": {
	"sub_family": "audio_encoder",
	"cases": [
	1102
	]
	},
	"wavlm": {
	"sub_family": "audio_encoder",
	"cases": [
	1103
	]
	},
	"whisper": {
	"sub_family": "speech_encdec",
	"cases": [
	1104
	]
	},
	"xclip": {
	"sub_family": "vit_vlm_encoder",
	"cases": [
	1105
	]
	},
	"xglm": {
	"sub_family": "decoder_misc",
	"cases": [
	1106
	]
	},
	"yolo11": {
	"sub_family": "detection_yolo_cnn",
	"cases": [
	850
	]
	},
	"yolo12": {
	"sub_family": "detection_yolo_cnn",
	"cases": [
	851
	]
	},
	"yolo26": {
	"sub_family": "detection_yolo_cnn",
	"cases": [
	852
	]
	},
	"yolos": {
	"sub_family": "detection_detr",
	"cases": [
	1110
	]
	},
	"yolov10": {
	"sub_family": "detection_yolo_cnn",
	"cases": [
	849
	]
	},
	"yolov3": {
	"sub_family": "detection_yolo_cnn",
	"cases": [
	845
	]
	},
	"yolov5": {
	"sub_family": "detection_yolo_cnn",
	"cases": [
	846
	]
	},
	"yolov8": {
	"sub_family": "detection_yolo_cnn",
	"cases": [
	847
	]
	},
	"yolov9": {
	"sub_family": "detection_yolo_cnn",
	"cases": [
	848
	]
	},
	"yoso": {
	"sub_family": "text_encoder_long_context",
	"cases": [
	1111
	]
	}
	}
	}