Add extractive data files

README.md

@@ -59,16 +59,16 @@ dataset_info:
     dtype: string
   splits:
   - name: train
-    num_bytes: 6434909
+    num_bytes: 6434893
     num_examples: 6253
   - name: test
-    num_bytes: 843181
+    num_bytes: 843165
     num_examples: 811
   - name: validation
-    num_bytes: 689109
+    num_bytes: 689093
     num_examples: 661
-  download_size: 7755161
-  dataset_size: 7967199
+  download_size: 5162151
+  dataset_size: 7967151
 configs:
 - config_name: abstractive
   data_files:
@@ -78,6 +78,14 @@ configs:
     path: abstractive/test-*
   - split: validation
     path: abstractive/validation-*
+- config_name: extractive
+  data_files:
+  - split: train
+    path: extractive/train-*
+  - split: test
+    path: extractive/test-*
+  - split: validation
+    path: extractive/validation-*
 ---
 
 # Dataset Card for AQuaMuSe

dataset_infos.json

@@ -56,38 +56,31 @@
     },
     "extractive": {
         "description": "AQuaMuSe is a novel scalable approach to automatically mine dual query based multi-document summarization datasets for extractive and abstractive summaries using question answering dataset (Google Natural Questions) and large document corpora (Common Crawl)",
-        "citation": "@misc{kulkarni2020aquamuse,title={AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization}, author={Sayali Kulkarni and Sheide Chammas and Wan Zhu and Fei Sha and Eugene Ie}, year={2020}, eprint={2010.12694}, archivePrefix={arXiv}, primaryClass={cs.CL}}",
+        "citation": "@misc{kulkarni2020aquamuse,\n      title={AQuaMuSe: Automatically Generating Datasets for Query-Based Multi-Document Summarization},\n      author={Sayali Kulkarni and Sheide Chammas and Wan Zhu and Fei Sha and Eugene Ie},\n      year={2020},\n      eprint={2010.12694},\n      archivePrefix={arXiv},\n      primaryClass={cs.CL}\n}\n",
         "homepage": "https://github.com/google-research-datasets/aquamuse",
         "license": "",
         "features": {
             "query": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "input_urls": {
                 "feature": {
                     "dtype": "string",
-                    "id": null,
                     "_type": "Value"
                 },
-                "length": -1,
-                "id": null,
                 "_type": "Sequence"
             },
             "target": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             }
         },
-        "post_processed": null,
-        "supervised_keys": null,
-        "builder_name": "aquamuse",
+        "builder_name": "parquet",
+        "dataset_name": "aquamuse",
         "config_name": "extractive",
         "version": {
             "version_str": "2.3.0",
-            "description": null,
             "major": 2,
             "minor": 3,
             "patch": 0
@@ -95,32 +88,25 @@
         "splits": {
             "train": {
                 "name": "train",
-                "num_bytes": 6434909,
+                "num_bytes": 6434893,
                 "num_examples": 6253,
-                "dataset_name": "aquamuse"
+                "dataset_name": null
             },
             "test": {
                 "name": "test",
-                "num_bytes": 843181,
+                "num_bytes": 843165,
                 "num_examples": 811,
-                "dataset_name": "aquamuse"
+                "dataset_name": null
             },
             "validation": {
                 "name": "validation",
-                "num_bytes": 689109,
+                "num_bytes": 689093,
                 "num_examples": 661,
-                "dataset_name": "aquamuse"
-            }
-        },
-        "download_checksums": {
-            "https://github.com/google-research-datasets/aquamuse/raw/main/v2/aquamuse_v2.zip": {
-                "num_bytes": 7755161,
-                "checksum": "f2b4d9523031a986e545a7c0fdc8180670519696340d09179a39514fc76466d0"
+                "dataset_name": null
             }
         },
-        "download_size": 7755161,
-        "post_processing_size": null,
-        "dataset_size": 7967199,
-        "size_in_bytes": 15722360
+        "download_size": 5162151,
+        "dataset_size": 7967151,
+        "size_in_bytes": 13129302
     }
 }

extractive/test-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:1380d318b80ebab447002b05ccd69faf58ba9e431af41179181273c420f784e1
+size 543635

extractive/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:24fb5984380b3319a1824bcb623eda558835c3142c2107930c97956c029ee1ab
+size 4172824

extractive/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:db41f77100bb9746fc39052a3377ff5af0f52fa26a79ce84548146850162839a
+size 445692