diff --git a/.gitattributes b/.gitattributes
index bed0738c7eeb449bca98b5d2f33c89a1ee56349a..69fb281a2ad54299dc67c3d652872a80c0268975 100644
--- a/.gitattributes
+++ b/.gitattributes
@@ -58,3 +58,131 @@ 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
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diff --git a/dataset_info.json b/dataset_info.json
new file mode 100644
index 0000000000000000000000000000000000000000..3312162634af35a451da1d9e24a85b2ee73e5bdf
--- /dev/null
+++ b/dataset_info.json
@@ -0,0 +1,149 @@
+{
+  "citation": "// TODO(example_dataset): BibTeX citation",
+  "description": "TODO(example_dataset): Markdown description of your dataset.\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": "LIBERO_Decomposed_Progress.LIBERO_Decomposed_Progress_dataset_builder",
+  "name": "libero_decomposed_progress",
+  "releaseNotes": {
+    "1.0.0": "Initial release combining all 4 LIBERO suites with subtask decomposition.",
+    "1.1.0": "is_terminal changed from bool to float progress (0..1]."
+  },
+  "splits": [
+    {
+      "filepathTemplate": "{DATASET}-{SPLIT}.{FILEFORMAT}-{SHARD_X_OF_Y}",
+      "name": "train",
+      "numBytes": "12260729271",
+      "shardLengths": [
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61",
+        "60",
+        "61",
+        "61",
+        "60",
+        "61"
+      ]
+    }
+  ],
+  "version": "1.0.0"
+}
\ No newline at end of file
diff --git a/features.json b/features.json
new file mode 100644
index 0000000000000000000000000000000000000000..c5f36ed80580dac35ef6c753b557c1560449dbea
--- /dev/null
+++ b/features.json
@@ -0,0 +1,158 @@
+{
+    "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
+    "featuresDict": {
+        "features": {
+            "episode_metadata": {
+                "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
+                "featuresDict": {
+                    "features": {
+                        "file_path": {
+                            "pythonClassName": "tensorflow_datasets.core.features.text_feature.Text",
+                            "text": {},
+                            "description": "Path to the original data file."
+                        }
+                    }
+                }
+            },
+            "steps": {
+                "pythonClassName": "tensorflow_datasets.core.features.dataset_feature.Dataset",
+                "sequence": {
+                    "feature": {
+                        "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
+                        "featuresDict": {
+                            "features": {
+                                "is_first": {
+                                    "pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
+                                    "tensor": {
+                                        "shape": {},
+                                        "dtype": "bool",
+                                        "encoding": "none"
+                                    },
+                                    "description": "True on first step of the episode."
+                                },
+                                "observation": {
+                                    "pythonClassName": "tensorflow_datasets.core.features.features_dict.FeaturesDict",
+                                    "featuresDict": {
+                                        "features": {
+                                            "wrist_image": {
+                                                "pythonClassName": "tensorflow_datasets.core.features.image_feature.Image",
+                                                "image": {
+                                                    "shape": {
+                                                        "dimensions": [
+                                                            "256",
+                                                            "256",
+                                                            "3"
+                                                        ]
+                                                    },
+                                                    "dtype": "uint8",
+                                                    "encodingFormat": "jpeg"
+                                                },
+                                                "description": "Wrist camera RGB observation."
+                                            },
+                                            "state": {
+                                                "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
+                                                "tensor": {
+                                                    "shape": {
+                                                        "dimensions": [
+                                                            "8"
+                                                        ]
+                                                    },
+                                                    "dtype": "float32",
+                                                    "encoding": "none"
+                                                },
+                                                "description": "Robot EEF state (6D pose, 2D gripper)."
+                                            },
+                                            "image": {
+                                                "pythonClassName": "tensorflow_datasets.core.features.image_feature.Image",
+                                                "image": {
+                                                    "shape": {
+                                                        "dimensions": [
+                                                            "256",
+                                                            "256",
+                                                            "3"
+                                                        ]
+                                                    },
+                                                    "dtype": "uint8",
+                                                    "encodingFormat": "jpeg"
+                                                },
+                                                "description": "Main camera RGB observation."
+                                            },
+                                            "joint_state": {
+                                                "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
+                                                "tensor": {
+                                                    "shape": {
+                                                        "dimensions": [
+                                                            "7"
+                                                        ]
+                                                    },
+                                                    "dtype": "float32",
+                                                    "encoding": "none"
+                                                },
+                                                "description": "Robot joint angles."
+                                            }
+                                        }
+                                    }
+                                },
+                                "is_last": {
+                                    "pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
+                                    "tensor": {
+                                        "shape": {},
+                                        "dtype": "bool",
+                                        "encoding": "none"
+                                    },
+                                    "description": "True on last step of the episode."
+                                },
+                                "reward": {
+                                    "pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
+                                    "tensor": {
+                                        "shape": {},
+                                        "dtype": "float32",
+                                        "encoding": "none"
+                                    },
+                                    "description": "Reward if provided, 1 on final step for demos."
+                                },
+                                "discount": {
+                                    "pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
+                                    "tensor": {
+                                        "shape": {},
+                                        "dtype": "float32",
+                                        "encoding": "none"
+                                    },
+                                    "description": "Discount if provided, default to 1."
+                                },
+                                "is_terminal": {
+                                    "pythonClassName": "tensorflow_datasets.core.features.scalar.Scalar",
+                                    "tensor": {
+                                        "shape": {},
+                                        "dtype": "float32",
+                                        "encoding": "none"
+                                    },
+                                    "description": "Progress in (0,1], 1.0 at completion."
+                                },
+                                "language_instruction": {
+                                    "pythonClassName": "tensorflow_datasets.core.features.text_feature.Text",
+                                    "text": {},
+                                    "description": "Language Instruction."
+                                },
+                                "action": {
+                                    "pythonClassName": "tensorflow_datasets.core.features.tensor_feature.Tensor",
+                                    "tensor": {
+                                        "shape": {
+                                            "dimensions": [
+                                                "7"
+                                            ]
+                                        },
+                                        "dtype": "float32",
+                                        "encoding": "none"
+                                    },
+                                    "description": "Robot EEF action."
+                                }
+                            }
+                        }
+                    },
+                    "length": "-1"
+                }
+            }
+        }
+    }
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