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@@ -57,3 +57,19 @@ saved_model/**/* filter=lfs diff=lfs merge=lfs -text
 # Video files - compressed
 *.mp4 filter=lfs diff=lfs merge=lfs -text
 *.webm filter=lfs diff=lfs merge=lfs -text
+icrt_pickplace_1/1.0.0/icrl_data_tfds-train.tfrecord-00000-of-00016 filter=lfs diff=lfs merge=lfs -text
+icrt_pickplace_1/1.0.0/icrl_data_tfds-train.tfrecord-00001-of-00016 filter=lfs diff=lfs merge=lfs -text
+icrt_pickplace_1/1.0.0/icrl_data_tfds-train.tfrecord-00002-of-00016 filter=lfs diff=lfs merge=lfs -text
+icrt_pickplace_1/1.0.0/icrl_data_tfds-train.tfrecord-00003-of-00016 filter=lfs diff=lfs merge=lfs -text
+icrt_pickplace_1/1.0.0/icrl_data_tfds-train.tfrecord-00004-of-00016 filter=lfs diff=lfs merge=lfs -text
+icrt_pickplace_1/1.0.0/icrl_data_tfds-train.tfrecord-00005-of-00016 filter=lfs diff=lfs merge=lfs -text
+icrt_pickplace_1/1.0.0/icrl_data_tfds-train.tfrecord-00006-of-00016 filter=lfs diff=lfs merge=lfs -text
+icrt_pickplace_1/1.0.0/icrl_data_tfds-train.tfrecord-00007-of-00016 filter=lfs diff=lfs merge=lfs -text
+icrt_pickplace_1/1.0.0/icrl_data_tfds-train.tfrecord-00008-of-00016 filter=lfs diff=lfs merge=lfs -text
+icrt_pickplace_1/1.0.0/icrl_data_tfds-train.tfrecord-00009-of-00016 filter=lfs diff=lfs merge=lfs -text
+icrt_pickplace_1/1.0.0/icrl_data_tfds-train.tfrecord-00010-of-00016 filter=lfs diff=lfs merge=lfs -text
+icrt_pickplace_1/1.0.0/icrl_data_tfds-train.tfrecord-00011-of-00016 filter=lfs diff=lfs merge=lfs -text
+icrt_pickplace_1/1.0.0/icrl_data_tfds-train.tfrecord-00012-of-00016 filter=lfs diff=lfs merge=lfs -text
+icrt_pickplace_1/1.0.0/icrl_data_tfds-train.tfrecord-00013-of-00016 filter=lfs diff=lfs merge=lfs -text
+icrt_pickplace_1/1.0.0/icrl_data_tfds-train.tfrecord-00014-of-00016 filter=lfs diff=lfs merge=lfs -text
+icrt_pickplace_1/1.0.0/icrl_data_tfds-train.tfrecord-00015-of-00016 filter=lfs diff=lfs merge=lfs -text

icrt_pickplace_1/1.0.0/dataset_info.json

@@ -0,0 +1,36 @@
+{
+  "citation": "// TODO(icrl_data_tfds): BibTeX citation",
+  "description": "TODO(icrl_data_tfds): Markdown description of that will appear on the catalog page.\nDescription is **formatted** as markdown.\n\nIt should also contain any processing which has been applied (if any),\n(e.g. corrupted example skipped, images cropped,...):",
+  "fileFormat": "tfrecord",
+  "moduleName": "icrl_data_tfds.icrl_data_tfds_dataset_builder",
+  "name": "icrl_data_tfds",
+  "releaseNotes": {
+    "1.0.0": "Initial release."
+  },
+  "splits": [
+    {
+      "filepathTemplate": "{DATASET}-{SPLIT}.{FILEFORMAT}-{SHARD_X_OF_Y}",
+      "name": "train",
+      "numBytes": "2135570148",
+      "shardLengths": [
+        "9",
+        "9",
+        "10",
+        "9",
+        "9",
+        "10",
+        "9",
+        "9",
+        "9",
+        "9",
+        "10",
+        "9",
+        "9",
+        "10",
+        "9",
+        "9"
+      ]
+    }
+  ],
+  "version": "1.0.0"
+}

icrt_pickplace_1/1.0.0/dataset_statistics_1d9f99b857f072e3c9da1f0b4a53464470a346eaa841365b5dd837e08adebec4.json

@@ -0,0 +1 @@
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icrt_pickplace_1/1.0.0/dataset_statistics_71cddb124d4c7fe7106ffae5303f4a9c06bd159cdd900a524066c186f6c87b89.json

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+{
+    "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
+    "featuresDict": {
+        "features": {
+            "steps": {
+                "pythonClassName": "tensorflow_datasets.core.features.dataset_feature.Dataset",
+                "sequence": {
+                    "feature": {
+                        "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
+                        "featuresDict": {
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+                                "observation": {
+                                    "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
+                                    "featuresDict": {
+                                        "features": {
+                                            "proprio": {
+                                                "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
+                                                "tensor": {
+                                                    "shape": {
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+                                                        ]
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+                                                    "encoding": "none"
+                                                },
+                                                "description": "Robot state, consists of [robot0_eef_pos, robot0_eef_euler, robot0_gripper_qpos[0]]."
+                                            },
+                                            "image_primary": {
+                                                "pythonClassName": "tensorflow_datasets.core.features.image_feature.Image",
+                                                "image": {
+                                                    "shape": {
+                                                        "dimensions": [
+                                                            "180",
+                                                            "320",
+                                                            "3"
+                                                        ]
+                                                    },
+                                                    "dtype": "uint8",
+                                                    "encodingFormat": "png"
+                                                },
+                                                "description": "Main camera RGB observation."
+                                            },
+                                            "image_wrist": {
+                                                "pythonClassName": "tensorflow_datasets.core.features.image_feature.Image",
+                                                "image": {
+                                                    "shape": {
+                                                        "dimensions": [
+                                                            "180",
+                                                            "320",
+                                                            "3"
+                                                        ]
+                                                    },
+                                                    "dtype": "uint8",
+                                                    "encodingFormat": "png"
+                                                },
+                                                "description": "Wrist camera RGB observation."
+                                            },
+                                            "timestep": {
+                                                "pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
+                                                "tensor": {
+                                                    "shape": {},
+                                                    "dtype": "int32",
+                                                    "encoding": "none"
+                                                },
+                                                "description": "Timestep of the episode."
+                                            }
+                                        }
+                                    }
+                                },
+                                "action": {
+                                    "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
+                                    "tensor": {
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+                                        "encoding": "none"
+                                    },
+                                    "description": "Robot action, consists of [x, y, z, ax, ay, az, gripper]."
+                                },
+                                "dataset_name": {
+                                    "pythonClassName": "tensorflow_datasets.core.features.text_feature.Text",
+                                    "text": {},
+                                    "description": "Language Instruction."
+                                },
+                                "task": {
+                                    "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
+                                    "featuresDict": {
+                                        "features": {
+                                            "language_instruction": {
+                                                "pythonClassName": "tensorflow_datasets.core.features.text_feature.Text",
+                                                "text": {},
+                                                "description": "Language Instruction."
+                                            }
+                                        }
+                                    }
+                                }
+                            }
+                        }
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+                    "length": "-1"
+                }
+            },
+            "episode_metadata": {
+                "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
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+                    "features": {
+                        "file_path": {
+                            "pythonClassName": "tensorflow_datasets.core.features.text_feature.Text",
+                            "text": {},
+                            "description": "Path to the original data file."
+                        }
+                    }
+                }
+            }
+        }
+    }
+}

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