Datasets:
Modalities:
Text
Formats:
webdataset
Size:
1K - 10K
Tags:
inference-runtime-prediction
onnx
computational-graph
graph-neural-network
pytorch-geometric
gpu-profiling
License:
Add clusters.json
Browse files- manifests/clusters.json +1 -1
manifests/clusters.json
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@@ -1,6 +1,6 @@
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{
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"schema_version": 6,
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"description": "Atomic architectural-lineage clusters for the 190-case ONNX
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"subfamily_to_family": {
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"audio_encoder": "attention_encoder",
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"bart_family": "attention_encoder_decoder",
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{
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"schema_version": 6,
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"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.",
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"subfamily_to_family": {
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"audio_encoder": "attention_encoder",
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"bart_family": "attention_encoder_decoder",
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