Remove unreleased node predictor artifacts

README.md

@@ -15,8 +15,8 @@ Weaving Knowledge to Master Fine-grained Neural Network Design".
 
 Each `.db` file has a `model_records` table. The first six columns encode
 fine-grained neural design choices and the final two columns store the measured
-score and standard deviation. The `.pt` files archive the released PyTorch
-artifacts for the corresponding task and dataset.
+score and standard deviation. Each task/dataset directory includes the released
+PyTorch artifacts: `ecc_predictor.pt` and `model_graph.pt`.
 
 Task layout:
 

manifest.json

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     "path": "node/actor/ecc_predictor.pt",
     "task": "node",
@@ -551,38 +543,6 @@
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@@ -591,22 +551,6 @@
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@@ -615,14 +559,6 @@
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@@ -631,38 +567,6 @@
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@@ -671,22 +575,6 @@
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@@ -695,14 +583,6 @@
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@@ -711,38 +591,6 @@
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