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tensorflow_datasets/clic/clic_edm_qq_pf/1/3.2.0/dataset_info.json

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+{
+  "citation": "Pata, Joosep, Wulff, Eric, Duarte, Javier, Mokhtar, Farouk, Zhang, Mengke, Girone, Maria, & Southwick, David. (2023).\nSimulated datasets for detector and particle flow reconstruction: CLIC detector (1.1) [Data set].\nZenodo. https://doi.org/10.5281/zenodo.8260741",
+  "configName": "1",
+  "description": "CLIC EDM4HEP dataset with ee -> gamma/Z* -> quarks at 380GeV.\n  - X: reconstructed tracks and clusters, variable number N per event\n  - ygen: stable generator particles, zero-padded to N per event\n  - ycand: baseline particle flow particles, zero-padded to N per event",
+  "fileFormat": "array_record",
+  "location": {
+    "urls": [
+      "https://github.com/jpata/particleflow"
+    ]
+  },
+  "moduleName": "clic_pf_edm4hep.qq",
+  "name": "clic_edm_qq_pf",
+  "releaseNotes": {
+    "1.0.0": "Initial release.",
+    "1.1.0": "update stats, move to 380 GeV",
+    "1.2.0": "sin cos as separate features",
+    "1.3.0": "Update stats to ~1M events",
+    "1.3.1": "Update stats to ~2M events",
+    "1.4.0": "Fix ycand matching",
+    "1.5.0": "Regenerate with ARRAY_RECORD",
+    "2.0.0": "Add ispu, genjets, genmet; disable genjet_idx; truth def not based on gp.status==1",
+    "2.1.0": "Bump dataset size",
+    "2.2.0": "New target definition, fix truth jets, add targetjets and jet idx",
+    "2.3.0": "Fix target/truth momentum, st=1 more inclusive: PR352",
+    "2.5.0": "Use 10 splits, skip 2.4.0 to unify with CMS datasets",
+    "3.0.0": "New generation with v1.2.4_key4hep_2025-05-29_CLIC_819e4e",
+    "3.1.0": "New generation with v1.2.5_key4hep_2025-05-29 500k events",
+    "3.2.0": "add particle_number to Y_FEATURES"
+  },
+  "splits": [
+    {
+      "filepathTemplate": "{DATASET}-{SPLIT}.{FILEFORMAT}-{SHARD_X_OF_Y}",
+      "name": "train",
+      "numBytes": "571086019",
+      "shardLengths": [
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+        "5624"
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+    {
+      "filepathTemplate": "{DATASET}-{SPLIT}.{FILEFORMAT}-{SHARD_X_OF_Y}",
+      "name": "test",
+      "numBytes": "62730037",
+      "shardLengths": [
+        "5000"
+      ]
+    }
+  ],
+  "version": "3.2.0"
+}

tensorflow_datasets/clic/clic_edm_qq_pf/1/3.2.0/features.json

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+{
+    "featuresDict": {
+        "features": {
+            "X": {
+                "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
+                "tensor": {
+                    "dtype": "float32",
+                    "encoding": "none",
+                    "shape": {
+                        "dimensions": [
+                            "-1",
+                            "17"
+                        ]
+                    }
+                }
+            },
+            "genjets": {
+                "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
+                "tensor": {
+                    "dtype": "float32",
+                    "encoding": "none",
+                    "shape": {
+                        "dimensions": [
+                            "-1",
+                            "4"
+                        ]
+                    }
+                }
+            },
+            "genmet": {
+                "pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
+                "tensor": {
+                    "dtype": "float32",
+                    "encoding": "none",
+                    "shape": {}
+                }
+            },
+            "targetjets": {
+                "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
+                "tensor": {
+                    "dtype": "float32",
+                    "encoding": "none",
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+                        "dimensions": [
+                            "-1",
+                            "4"
+                        ]
+                    }
+                }
+            },
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+                    "dtype": "float32",
+                    "encoding": "none",
+                    "shape": {
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+                            "-1",
+                            "14"
+                        ]
+                    }
+                }
+            },
+            "ytarget": {
+                "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
+                "tensor": {
+                    "dtype": "float32",
+                    "encoding": "none",
+                    "shape": {
+                        "dimensions": [
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+                            "14"
+                        ]
+                    }
+                }
+            }
+        }
+    },
+    "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict"
+}

tensorflow_datasets/clic/clic_edm_qq_pf/1/3.2.0/metadata.json

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+{"x_features_track": ["elemtype", "pt", "eta", "sin_phi", "cos_phi", "p", "chi2", "ndf", "dEdx", "dEdxError", "radiusOfInnermostHit", "tanLambda", "D0", "omega", "Z0", "time"], "x_features_cluster": ["elemtype", "et", "eta", "sin_phi", "cos_phi", "energy", "position.x", "position.y", "position.z", "iTheta", "energy_ecal", "energy_hcal", "energy_other", "num_hits", "sigma_x", "sigma_y", "sigma_z"], "y_features": ["PDG", "charge", "pt", "eta", "sin_phi", "cos_phi", "energy", "ispu", "generatorStatus", "simulatorStatus", "gp_to_track", "gp_to_cluster", "jet_idx", "particle_number"]}