Convert dataset to Parquet

Convert dataset to Parquet.

README.md

@@ -21,24 +21,12 @@ task_ids:
 - text-simplification
 paperswithcode_id: asset
 pretty_name: ASSET
+config_names:
+- ratings
+- simplification
 tags:
 - simplification-evaluation
 dataset_info:
-- config_name: simplification
-  features:
-  - name: original
-    dtype: string
-  - name: simplifications
-    sequence: string
-  splits:
-  - name: validation
-    num_bytes: 2303496
-    num_examples: 2000
-  - name: test
-    num_bytes: 411031
-    num_examples: 359
-  download_size: 3639353
-  dataset_size: 2714527
 - config_name: ratings
   features:
   - name: original
@@ -64,9 +52,29 @@ dataset_info:
     num_examples: 4500
   download_size: 3639353
   dataset_size: 1036853
-config_names:
-- ratings
-- simplification
+- config_name: simplification
+  features:
+  - name: original
+    dtype: string
+  - name: simplifications
+    sequence: string
+  splits:
+  - name: validation
+    num_bytes: 2303484
+    num_examples: 2000
+  - name: test
+    num_bytes: 411019
+    num_examples: 359
+  download_size: 1055163
+  dataset_size: 2714503
+configs:
+- config_name: simplification
+  data_files:
+  - split: validation
+    path: simplification/validation-*
+  - split: test
+    path: simplification/test-*
+  default: true
 ---
 
 # Dataset Card for ASSET

dataset_infos.json

@@ -1 +1,209 @@
-{"simplification": {"description": "ASSET is a dataset for evaluating Sentence Simplification systems with multiple rewriting transformations,\nas described in \"ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations\".\nThe corpus is composed of 2000 validation and 359 test original sentences that were each simplified 10 times by different annotators.\nThe corpus also contains human judgments of meaning preservation, fluency and simplicity for the outputs of several automatic text simplification systems.\n", "citation": "@inproceedings{alva-manchego-etal-2020-asset,\n    title = \"{ASSET}: {A} Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations\",\n    author = \"Alva-Manchego, Fernando  and\n      Martin, Louis  and\n      Bordes, Antoine  and\n      Scarton, Carolina  and\n      Sagot, Benoit  and\n      Specia, Lucia\",\n    booktitle = \"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics\",\n    month = jul,\n    year = \"2020\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://www.aclweb.org/anthology/2020.acl-main.424\",\n    pages = \"4668--4679\",\n}\n", "homepage": "https://github.com/facebookresearch/asset", "license": "Creative Common Attribution-NonCommercial 4.0 International", "features": {"original": {"dtype": "string", "id": null, "_type": "Value"}, "simplifications": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "asset", "config_name": "simplification", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"validation": {"name": "validation", "num_bytes": 2303496, "num_examples": 2000, "dataset_name": "asset"}, "test": {"name": "test", "num_bytes": 411031, "num_examples": 359, "dataset_name": "asset"}}, "download_checksums": {"https://raw.githubusercontent.com/facebookresearch/asset/main/human_ratings/human_ratings.csv": {"num_bytes": 1012140, "checksum": "09ea6ee887af56be380334677ca2f3ba561f67abbb64ef1e6382fadf440d5593"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.orig": {"num_bytes": 234319, "checksum": "83dca90b5c53365a9c4a70222aed129c6df3c3f6b5da82ee94312e179b93fff1"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.orig": {"num_bytes": 43745, "checksum": "673ceb2672a37168a52040d75e16f9ffd1e3777b9f68e19207f2adf6542723f1"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.0": {"num_bytes": 193975, "checksum": "27b0c4a40c91b875c82a8ed76ff7cf0476b03a3a6998a2e3ef6e18000efda624"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.1": {"num_bytes": 180040, "checksum": "5043e9db5934c3d538b91f56d23466177813896da10f153d2b16c0c415ac5e84"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.2": {"num_bytes": 187445, "checksum": "578dd487cf03f6f66bb4acd2c44b464c3ac9fb42dc64b8e6afd391778ebc7ea7"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.3": {"num_bytes": 207902, "checksum": "4ab95ba6f7a60adde2f57201c0b749384ce64c97f8378fb0ab185367709a8386"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.4": {"num_bytes": 211459, "checksum": "f6f1d4bf9f87b532b37d7f5700ec384f817dba10247c91df629e1f6eee6c3aa9"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.5": {"num_bytes": 194418, "checksum": "182114cfbb2960358b0e2d71737ead9a2abb0c27d3f65281335f079ae4447e3b"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.6": {"num_bytes": 188962, "checksum": "aba27b505dad048982e902a04c4ffc5ab9e926b38d2383920aea798fd42de376"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.7": {"num_bytes": 196950, "checksum": "73d7983107eca6b98a9aec62ea75ea8d5adf313755b7e105608f212dead124cd"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.8": {"num_bytes": 213056, "checksum": "58f8e1109d87a4e3c5403705b8782750bb849cb8389a698156e00ca6512dd5c4"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.9": {"num_bytes": 220962, "checksum": "35a861e174ce5458fdcd1866e49aa84297fcb6b51fd98d6633b71932a646832e"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.0": {"num_bytes": 35457, "checksum": "66f36029d0c732eb92886021faefe531c6cfd0a32bdbe7ae4aa97fd45bd1b046"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.1": {"num_bytes": 34096, "checksum": "d323ceb364abbe84c79b14b028aa1ff563cd94955fbab19049612548dbb0f83f"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.2": {"num_bytes": 34348, "checksum": "786b55f8425ce4a993e98be5e2bea9ef87bf536b96dc13f7a57c4733fdb63e06"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.3": {"num_bytes": 37292, "checksum": "e211c9e2ede1dfe315097132dbe4feda76b309bdc636a5394cb5d2664ba5bf52"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.4": {"num_bytes": 35887, "checksum": "37be9cf0592c0f68d87848dc9c442fe62f344518c1993896c00788bf943b755d"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.5": {"num_bytes": 35351, "checksum": "8485210573a3bd76116de8e978b227677c6c207111a4938729397c4e603dfa46"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.6": {"num_bytes": 35846, "checksum": "f0cb3ab823d23203ea044f81bd7e67cc823db0632095e43b78a54a9891a0b0a8"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.7": {"num_bytes": 34560, "checksum": "35cbb8b9964252a1470607634f19ad946c6bc2951b3e500eedd826baf12bd3c8"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.8": {"num_bytes": 35830, "checksum": "047b6419590b88f93b435d3177bba1883dc9c0dc178676e48470b408236446f4"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.9": {"num_bytes": 35313, "checksum": "3f5745e4f2743563b88ea4284ec35fa4ddb68d62de80b63ffb87751b998fe6b8"}}, "download_size": 3639353, "post_processing_size": null, "dataset_size": 2714527, "size_in_bytes": 6353880}, "ratings": {"description": "ASSET is a dataset for evaluating Sentence Simplification systems with multiple rewriting transformations,\nas described in \"ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations\".\nThe corpus is composed of 2000 validation and 359 test original sentences that were each simplified 10 times by different annotators.\nThe corpus also contains human judgments of meaning preservation, fluency and simplicity for the outputs of several automatic text simplification systems.\n", "citation": "@inproceedings{alva-manchego-etal-2020-asset,\n    title = \"{ASSET}: {A} Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations\",\n    author = \"Alva-Manchego, Fernando  and\n      Martin, Louis  and\n      Bordes, Antoine  and\n      Scarton, Carolina  and\n      Sagot, Benoit  and\n      Specia, Lucia\",\n    booktitle = \"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics\",\n    month = jul,\n    year = \"2020\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://www.aclweb.org/anthology/2020.acl-main.424\",\n    pages = \"4668--4679\",\n}\n", "homepage": "https://github.com/facebookresearch/asset", "license": "Creative Common Attribution-NonCommercial 4.0 International", "features": {"original": {"dtype": "string", "id": null, "_type": "Value"}, "simplification": {"dtype": "string", "id": null, "_type": "Value"}, "original_sentence_id": {"dtype": "int32", "id": null, "_type": "Value"}, "aspect": {"num_classes": 3, "names": ["meaning", "fluency", "simplicity"], "names_file": null, "id": null, "_type": "ClassLabel"}, "worker_id": {"dtype": "int32", "id": null, "_type": "Value"}, "rating": {"dtype": "int32", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "asset", "config_name": "ratings", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"full": {"name": "full", "num_bytes": 1036853, "num_examples": 4500, "dataset_name": "asset"}}, "download_checksums": {"https://raw.githubusercontent.com/facebookresearch/asset/main/human_ratings/human_ratings.csv": {"num_bytes": 1012140, "checksum": "09ea6ee887af56be380334677ca2f3ba561f67abbb64ef1e6382fadf440d5593"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.orig": {"num_bytes": 234319, "checksum": "83dca90b5c53365a9c4a70222aed129c6df3c3f6b5da82ee94312e179b93fff1"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.orig": {"num_bytes": 43745, "checksum": "673ceb2672a37168a52040d75e16f9ffd1e3777b9f68e19207f2adf6542723f1"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.0": {"num_bytes": 193975, "checksum": "27b0c4a40c91b875c82a8ed76ff7cf0476b03a3a6998a2e3ef6e18000efda624"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.1": {"num_bytes": 180040, "checksum": "5043e9db5934c3d538b91f56d23466177813896da10f153d2b16c0c415ac5e84"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.2": {"num_bytes": 187445, "checksum": "578dd487cf03f6f66bb4acd2c44b464c3ac9fb42dc64b8e6afd391778ebc7ea7"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.3": {"num_bytes": 207902, "checksum": "4ab95ba6f7a60adde2f57201c0b749384ce64c97f8378fb0ab185367709a8386"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.4": {"num_bytes": 211459, "checksum": "f6f1d4bf9f87b532b37d7f5700ec384f817dba10247c91df629e1f6eee6c3aa9"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.5": {"num_bytes": 194418, "checksum": "182114cfbb2960358b0e2d71737ead9a2abb0c27d3f65281335f079ae4447e3b"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.6": {"num_bytes": 188962, "checksum": "aba27b505dad048982e902a04c4ffc5ab9e926b38d2383920aea798fd42de376"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.7": {"num_bytes": 196950, "checksum": "73d7983107eca6b98a9aec62ea75ea8d5adf313755b7e105608f212dead124cd"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.8": {"num_bytes": 213056, "checksum": "58f8e1109d87a4e3c5403705b8782750bb849cb8389a698156e00ca6512dd5c4"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.9": {"num_bytes": 220962, "checksum": "35a861e174ce5458fdcd1866e49aa84297fcb6b51fd98d6633b71932a646832e"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.0": {"num_bytes": 35457, "checksum": "66f36029d0c732eb92886021faefe531c6cfd0a32bdbe7ae4aa97fd45bd1b046"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.1": {"num_bytes": 34096, "checksum": "d323ceb364abbe84c79b14b028aa1ff563cd94955fbab19049612548dbb0f83f"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.2": {"num_bytes": 34348, "checksum": "786b55f8425ce4a993e98be5e2bea9ef87bf536b96dc13f7a57c4733fdb63e06"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.3": {"num_bytes": 37292, "checksum": "e211c9e2ede1dfe315097132dbe4feda76b309bdc636a5394cb5d2664ba5bf52"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.4": {"num_bytes": 35887, "checksum": "37be9cf0592c0f68d87848dc9c442fe62f344518c1993896c00788bf943b755d"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.5": {"num_bytes": 35351, "checksum": "8485210573a3bd76116de8e978b227677c6c207111a4938729397c4e603dfa46"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.6": {"num_bytes": 35846, "checksum": "f0cb3ab823d23203ea044f81bd7e67cc823db0632095e43b78a54a9891a0b0a8"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.7": {"num_bytes": 34560, "checksum": "35cbb8b9964252a1470607634f19ad946c6bc2951b3e500eedd826baf12bd3c8"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.8": {"num_bytes": 35830, "checksum": "047b6419590b88f93b435d3177bba1883dc9c0dc178676e48470b408236446f4"}, "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.9": {"num_bytes": 35313, "checksum": "3f5745e4f2743563b88ea4284ec35fa4ddb68d62de80b63ffb87751b998fe6b8"}}, "download_size": 3639353, "post_processing_size": null, "dataset_size": 1036853, "size_in_bytes": 4676206}}
+{
+    "simplification": {
+        "description": "ASSET is a dataset for evaluating Sentence Simplification systems with multiple rewriting transformations,\nas described in \"ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations\".\nThe corpus is composed of 2000 validation and 359 test original sentences that were each simplified 10 times by different annotators.\nThe corpus also contains human judgments of meaning preservation, fluency and simplicity for the outputs of several automatic text simplification systems.\n",
+        "citation": "@inproceedings{alva-manchego-etal-2020-asset,\n    title = \"{ASSET}: {A} Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations\",\n    author = \"Alva-Manchego, Fernando  and\n      Martin, Louis  and\n      Bordes, Antoine  and\n      Scarton, Carolina  and\n      Sagot, Benoit  and\n      Specia, Lucia\",\n    booktitle = \"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics\",\n    month = jul,\n    year = \"2020\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://www.aclweb.org/anthology/2020.acl-main.424\",\n    pages = \"4668--4679\",\n}\n",
+        "homepage": "https://github.com/facebookresearch/asset",
+        "license": "Creative Common Attribution-NonCommercial 4.0 International",
+        "features": {
+            "original": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "simplifications": {
+                "feature": {
+                    "dtype": "string",
+                    "_type": "Value"
+                },
+                "_type": "Sequence"
+            }
+        },
+        "builder_name": "asset",
+        "dataset_name": "asset",
+        "config_name": "simplification",
+        "version": {
+            "version_str": "1.0.0",
+            "major": 1,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "validation": {
+                "name": "validation",
+                "num_bytes": 2303484,
+                "num_examples": 2000,
+                "dataset_name": null
+            },
+            "test": {
+                "name": "test",
+                "num_bytes": 411019,
+                "num_examples": 359,
+                "dataset_name": null
+            }
+        },
+        "download_size": 1055163,
+        "dataset_size": 2714503,
+        "size_in_bytes": 3769666
+    },
+    "ratings": {
+        "description": "ASSET is a dataset for evaluating Sentence Simplification systems with multiple rewriting transformations,\nas described in \"ASSET: A Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations\".\nThe corpus is composed of 2000 validation and 359 test original sentences that were each simplified 10 times by different annotators.\nThe corpus also contains human judgments of meaning preservation, fluency and simplicity for the outputs of several automatic text simplification systems.\n",
+        "citation": "@inproceedings{alva-manchego-etal-2020-asset,\n    title = \"{ASSET}: {A} Dataset for Tuning and Evaluation of Sentence Simplification Models with Multiple Rewriting Transformations\",\n    author = \"Alva-Manchego, Fernando  and\n      Martin, Louis  and\n      Bordes, Antoine  and\n      Scarton, Carolina  and\n      Sagot, Benoit  and\n      Specia, Lucia\",\n    booktitle = \"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics\",\n    month = jul,\n    year = \"2020\",\n    address = \"Online\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://www.aclweb.org/anthology/2020.acl-main.424\",\n    pages = \"4668--4679\",\n}\n",
+        "homepage": "https://github.com/facebookresearch/asset",
+        "license": "Creative Common Attribution-NonCommercial 4.0 International",
+        "features": {
+            "original": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "simplification": {
+                "dtype": "string",
+                "id": null,
+                "_type": "Value"
+            },
+            "original_sentence_id": {
+                "dtype": "int32",
+                "id": null,
+                "_type": "Value"
+            },
+            "aspect": {
+                "num_classes": 3,
+                "names": [
+                    "meaning",
+                    "fluency",
+                    "simplicity"
+                ],
+                "names_file": null,
+                "id": null,
+                "_type": "ClassLabel"
+            },
+            "worker_id": {
+                "dtype": "int32",
+                "id": null,
+                "_type": "Value"
+            },
+            "rating": {
+                "dtype": "int32",
+                "id": null,
+                "_type": "Value"
+            }
+        },
+        "post_processed": null,
+        "supervised_keys": null,
+        "task_templates": null,
+        "builder_name": "asset",
+        "config_name": "ratings",
+        "version": {
+            "version_str": "1.0.0",
+            "description": null,
+            "major": 1,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "full": {
+                "name": "full",
+                "num_bytes": 1036853,
+                "num_examples": 4500,
+                "dataset_name": "asset"
+            }
+        },
+        "download_checksums": {
+            "https://raw.githubusercontent.com/facebookresearch/asset/main/human_ratings/human_ratings.csv": {
+                "num_bytes": 1012140,
+                "checksum": "09ea6ee887af56be380334677ca2f3ba561f67abbb64ef1e6382fadf440d5593"
+            },
+            "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.orig": {
+                "num_bytes": 234319,
+                "checksum": "83dca90b5c53365a9c4a70222aed129c6df3c3f6b5da82ee94312e179b93fff1"
+            },
+            "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.orig": {
+                "num_bytes": 43745,
+                "checksum": "673ceb2672a37168a52040d75e16f9ffd1e3777b9f68e19207f2adf6542723f1"
+            },
+            "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.0": {
+                "num_bytes": 193975,
+                "checksum": "27b0c4a40c91b875c82a8ed76ff7cf0476b03a3a6998a2e3ef6e18000efda624"
+            },
+            "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.1": {
+                "num_bytes": 180040,
+                "checksum": "5043e9db5934c3d538b91f56d23466177813896da10f153d2b16c0c415ac5e84"
+            },
+            "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.2": {
+                "num_bytes": 187445,
+                "checksum": "578dd487cf03f6f66bb4acd2c44b464c3ac9fb42dc64b8e6afd391778ebc7ea7"
+            },
+            "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.3": {
+                "num_bytes": 207902,
+                "checksum": "4ab95ba6f7a60adde2f57201c0b749384ce64c97f8378fb0ab185367709a8386"
+            },
+            "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.4": {
+                "num_bytes": 211459,
+                "checksum": "f6f1d4bf9f87b532b37d7f5700ec384f817dba10247c91df629e1f6eee6c3aa9"
+            },
+            "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.5": {
+                "num_bytes": 194418,
+                "checksum": "182114cfbb2960358b0e2d71737ead9a2abb0c27d3f65281335f079ae4447e3b"
+            },
+            "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.6": {
+                "num_bytes": 188962,
+                "checksum": "aba27b505dad048982e902a04c4ffc5ab9e926b38d2383920aea798fd42de376"
+            },
+            "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.7": {
+                "num_bytes": 196950,
+                "checksum": "73d7983107eca6b98a9aec62ea75ea8d5adf313755b7e105608f212dead124cd"
+            },
+            "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.8": {
+                "num_bytes": 213056,
+                "checksum": "58f8e1109d87a4e3c5403705b8782750bb849cb8389a698156e00ca6512dd5c4"
+            },
+            "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.valid.simp.9": {
+                "num_bytes": 220962,
+                "checksum": "35a861e174ce5458fdcd1866e49aa84297fcb6b51fd98d6633b71932a646832e"
+            },
+            "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.0": {
+                "num_bytes": 35457,
+                "checksum": "66f36029d0c732eb92886021faefe531c6cfd0a32bdbe7ae4aa97fd45bd1b046"
+            },
+            "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.1": {
+                "num_bytes": 34096,
+                "checksum": "d323ceb364abbe84c79b14b028aa1ff563cd94955fbab19049612548dbb0f83f"
+            },
+            "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.2": {
+                "num_bytes": 34348,
+                "checksum": "786b55f8425ce4a993e98be5e2bea9ef87bf536b96dc13f7a57c4733fdb63e06"
+            },
+            "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.3": {
+                "num_bytes": 37292,
+                "checksum": "e211c9e2ede1dfe315097132dbe4feda76b309bdc636a5394cb5d2664ba5bf52"
+            },
+            "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.4": {
+                "num_bytes": 35887,
+                "checksum": "37be9cf0592c0f68d87848dc9c442fe62f344518c1993896c00788bf943b755d"
+            },
+            "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.5": {
+                "num_bytes": 35351,
+                "checksum": "8485210573a3bd76116de8e978b227677c6c207111a4938729397c4e603dfa46"
+            },
+            "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.6": {
+                "num_bytes": 35846,
+                "checksum": "f0cb3ab823d23203ea044f81bd7e67cc823db0632095e43b78a54a9891a0b0a8"
+            },
+            "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.7": {
+                "num_bytes": 34560,
+                "checksum": "35cbb8b9964252a1470607634f19ad946c6bc2951b3e500eedd826baf12bd3c8"
+            },
+            "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.8": {
+                "num_bytes": 35830,
+                "checksum": "047b6419590b88f93b435d3177bba1883dc9c0dc178676e48470b408236446f4"
+            },
+            "https://raw.githubusercontent.com/facebookresearch/asset/main/dataset/asset.test.simp.9": {
+                "num_bytes": 35313,
+                "checksum": "3f5745e4f2743563b88ea4284ec35fa4ddb68d62de80b63ffb87751b998fe6b8"
+            }
+        },
+        "download_size": 3639353,
+        "post_processing_size": null,
+        "dataset_size": 1036853,
+        "size_in_bytes": 4676206
+    }
+}

simplification/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:902a88c34f2cbd185cf06419cdd3caff4979d28ad5977fe18a684992f5181852
+size 170128

simplification/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:c1a7c5589867ccdb9a3b2af55c9a4c1d732f795a32496db3afc2a1f2eec0ab0b
+size 885035