Support classification

clevr.py

@@ -39,12 +39,60 @@ _LICENSE = "CC BY 4.0"  # TODO need to credit both ms coco and vqa authors!
 
 _URLS = "https://dl.fbaipublicfiles.com/clevr/CLEVR_v1.0.zip"
 
+CLASSES = [
+    "0",
+    "gray",
+    "cube",
+    "purple",
+    "yes",
+    "small",
+    "brown",
+    "red",
+    "blue",
+    "7",
+    "5",
+    "8",
+    "metal",
+    "6",
+    "rubber",
+    "1",
+    "sphere",
+    "cylinder",
+    "3",
+    "10",
+    "2",
+    "yellow",
+    "cyan",
+    "green",
+    "9",
+    "large",
+    "no",
+    "4",
+]
+
 
 class ClevrDataset(datasets.GeneratorBasedBuilder):
 
     VERSION = datasets.Version("1.0.0")
+    DEFAULT_BUILD_CONFIG_NAME = "default"
+    BUILDER_CONFIGS = [
+        datasets.BuilderConfig(
+            name="default",
+            version=VERSION,
+            description="This config returns answers as plain text",
+        ),
+        datasets.BuilderConfig(
+            name="classification",
+            version=VERSION,
+            description="This config returns answers as class labels",
+        )
 
+    ]
     def _info(self):
+        if self.config.name == "classification":
+            answer_feature = datasets.ClassLabel(names=CLASSES)
+        else:
+            answer_feature = datasets.Value("string")
         features = datasets.Features(
             {
                 "question_index": datasets.Value("int64"),
@@ -52,7 +100,7 @@ class ClevrDataset(datasets.GeneratorBasedBuilder):
                 "image_filename": datasets.Value("string"),
                 "split": datasets.Value("string"),
                 "question": datasets.Value("string"),
-                "answer": datasets.Value("string"),
+                "answer": answer_feature,
                 "image": datasets.Image(),
                 "image_index": datasets.Value("int64"),
                 "program": datasets.Sequence({
@@ -102,7 +150,7 @@ class ClevrDataset(datasets.GeneratorBasedBuilder):
             question["image"] = str(image_folder / f"{question['image_filename']}")
             if split == "test":
                 question["question_family_index"] = -1
-                question["answer"] = ""
+                question["answer"] = -1 if self.config.name == "classification" else ""
                 question["program"] = [
                     {
                         "inputs": [],

dataset_infos.json

@@ -1 +1 @@
-{"default": {"description": "CLEVR is a diagnostic dataset that tests a range of visual reasoning abilities. It contains minimal biases and has detailed annotations describing the kind of reasoning each question requires. We use this dataset to analyze a variety of modern visual reasoning systems, providing novel insights into their abilities and limitations.\n", "citation": "@inproceedings{johnson2017clevr,\n  title={Clevr: A diagnostic dataset for compositional language and elementary visual reasoning},\n  author={Johnson, Justin and Hariharan, Bharath and Van Der Maaten, Laurens and Fei-Fei, Li and Lawrence Zitnick, C and Girshick, Ross},\n  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},\n  pages={2901--2910},\n  year={2017}\n}\n", "homepage": "https://cs.stanford.edu/people/jcjohns/clevr/", "license": "CC BY 4.0", "features": {"question_index": {"dtype": "int64", "id": null, "_type": "Value"}, "question_family_index": {"dtype": "int64", "id": null, "_type": "Value"}, "image_filename": {"dtype": "string", "id": null, "_type": "Value"}, "split": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}, "image": {"decode": true, "id": null, "_type": "Image"}, "image_index": {"dtype": "int64", "id": null, "_type": "Value"}, "program": {"feature": {"inputs": {"feature": {"dtype": "int64", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "function": {"dtype": "string", "id": null, "_type": "Value"}, "value_inputs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "clevr", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 511632731, "num_examples": 699989, "dataset_name": "clevr"}, "validation": {"name": "validation", "num_bytes": 108498206, "num_examples": 149991, "dataset_name": "clevr"}, "test": {"name": "test", "num_bytes": 55113984, "num_examples": 149988, "dataset_name": "clevr"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/clevr/CLEVR_v1.0.zip": {"num_bytes": 19021600724, "checksum": "5cd61cf1096ed20944df93c9adb31e74d189b8459a94f54ba00090e5c59936d1"}}, "download_size": 19021600724, "post_processing_size": null, "dataset_size": 675244921, "size_in_bytes": 19696845645}}
+{"default": {"description": "CLEVR is a diagnostic dataset that tests a range of visual reasoning abilities. It contains minimal biases and has detailed annotations describing the kind of reasoning each question requires. We use this dataset to analyze a variety of modern visual reasoning systems, providing novel insights into their abilities and limitations.\n", "citation": "@inproceedings{johnson2017clevr,\n  title={Clevr: A diagnostic dataset for compositional language and elementary visual reasoning},\n  author={Johnson, Justin and Hariharan, Bharath and Van Der Maaten, Laurens and Fei-Fei, Li and Lawrence Zitnick, C and Girshick, Ross},\n  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},\n  pages={2901--2910},\n  year={2017}\n}\n", "homepage": "https://cs.stanford.edu/people/jcjohns/clevr/", "license": "CC BY 4.0", "features": {"question_index": {"dtype": "int64", "id": null, "_type": "Value"}, "question_family_index": {"dtype": "int64", "id": null, "_type": "Value"}, "image_filename": {"dtype": "string", "id": null, "_type": "Value"}, "split": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"dtype": "string", "id": null, "_type": "Value"}, "image": {"decode": true, "id": null, "_type": "Image"}, "image_index": {"dtype": "int64", "id": null, "_type": "Value"}, "program": {"feature": {"inputs": {"feature": {"dtype": "int64", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "function": {"dtype": "string", "id": null, "_type": "Value"}, "value_inputs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "clevr", "config_name": "default", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 511632731, "num_examples": 699989, "dataset_name": "clevr"}, "validation": {"name": "validation", "num_bytes": 108498206, "num_examples": 149991, "dataset_name": "clevr"}, "test": {"name": "test", "num_bytes": 55113984, "num_examples": 149988, "dataset_name": "clevr"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/clevr/CLEVR_v1.0.zip": {"num_bytes": 19021600724, "checksum": "5cd61cf1096ed20944df93c9adb31e74d189b8459a94f54ba00090e5c59936d1"}}, "download_size": 19021600724, "post_processing_size": null, "dataset_size": 675244921, "size_in_bytes": 19696845645}, "classification": {"description": "CLEVR is a diagnostic dataset that tests a range of visual reasoning abilities. It contains minimal biases and has detailed annotations describing the kind of reasoning each question requires. We use this dataset to analyze a variety of modern visual reasoning systems, providing novel insights into their abilities and limitations.\n", "citation": "@inproceedings{johnson2017clevr,\n  title={Clevr: A diagnostic dataset for compositional language and elementary visual reasoning},\n  author={Johnson, Justin and Hariharan, Bharath and Van Der Maaten, Laurens and Fei-Fei, Li and Lawrence Zitnick, C and Girshick, Ross},\n  booktitle={Proceedings of the IEEE conference on computer vision and pattern recognition},\n  pages={2901--2910},\n  year={2017}\n}\n", "homepage": "https://cs.stanford.edu/people/jcjohns/clevr/", "license": "CC BY 4.0", "features": {"question_index": {"dtype": "int64", "id": null, "_type": "Value"}, "question_family_index": {"dtype": "int64", "id": null, "_type": "Value"}, "image_filename": {"dtype": "string", "id": null, "_type": "Value"}, "split": {"dtype": "string", "id": null, "_type": "Value"}, "question": {"dtype": "string", "id": null, "_type": "Value"}, "answer": {"num_classes": 28, "names": ["0", "gray", "cube", "purple", "yes", "small", "brown", "red", "blue", "7", "5", "8", "metal", "6", "rubber", "1", "sphere", "cylinder", "3", "10", "2", "yellow", "cyan", "green", "9", "large", "no", "4"], "id": null, "_type": "ClassLabel"}, "image": {"decode": true, "id": null, "_type": "Image"}, "image_index": {"dtype": "int64", "id": null, "_type": "Value"}, "program": {"feature": {"inputs": {"feature": {"dtype": "int64", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}, "function": {"dtype": "string", "id": null, "_type": "Value"}, "value_inputs": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "clevr", "config_name": "classification", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 512232057, "num_examples": 699989, "dataset_name": "clevr"}, "validation": {"name": "validation", "num_bytes": 108627710, "num_examples": 149991, "dataset_name": "clevr"}, "test": {"name": "test", "num_bytes": 55713936, "num_examples": 149988, "dataset_name": "clevr"}}, "download_checksums": {"https://dl.fbaipublicfiles.com/clevr/CLEVR_v1.0.zip": {"num_bytes": 19021600724, "checksum": "5cd61cf1096ed20944df93c9adb31e74d189b8459a94f54ba00090e5c59936d1"}}, "download_size": 19021600724, "post_processing_size": null, "dataset_size": 676573703, "size_in_bytes": 19698174427}}