Convert dataset to Parquet

Convert dataset to Parquet.

DanFever/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:838969d8df3bd993d47a374d84f507c7f2bbc5b1b23e5f8615d59bf9dee62ea7
+size 721856

README.md

@@ -22,6 +22,44 @@ paperswithcode_id: danfever
 pretty_name: DanFEVER
 tags:
 - knowledge-verification
+dataset_info:
+  config_name: DanFever
+  features:
+  - name: id
+    dtype: string
+  - name: claim
+    dtype: string
+  - name: label
+    dtype:
+      class_label:
+        names:
+          '0': Refuted
+          '1': Supported
+          '2': NotEnoughInfo
+  - name: evidence_extract
+    dtype: string
+  - name: verifiable
+    dtype:
+      class_label:
+        names:
+          '0': NotVerifiable
+          '1': Verifiable
+  - name: evidence
+    dtype: string
+  - name: original_id
+    dtype: string
+  splits:
+  - name: train
+    num_bytes: 2940646
+    num_examples: 6407
+  download_size: 721856
+  dataset_size: 2940646
+configs:
+- config_name: DanFever
+  data_files:
+  - split: train
+    path: DanFever/train-*
+  default: true
 ---
 
 

dataset_infos.json

@@ -1 +1,65 @@
-{"DanFever": {"description": "\n", "citation": "@inproceedings{norregaard-derczynski-2021-danfever,\n    title = \"{D}an{FEVER}: claim verification dataset for {D}anish\",\n    author = \"N{\\o}rregaard, Jeppe  and\n      Derczynski, Leon\",\n    booktitle = \"Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)\",\n    month = may # \" 31--2 \" # jun,\n    year = \"2021\",\n    address = \"Reykjavik, Iceland (Online)\",\n    publisher = {Link{\"o}ping University Electronic Press, Sweden},\n    url = \"https://aclanthology.org/2021.nodalida-main.47\",\n    pages = \"422--428\",\n    abstract = \"We present a dataset, DanFEVER, intended for multilingual misinformation research. The dataset is in Danish and has the same format as the well-known English FEVER dataset. It can be used for testing methods in multilingual settings, as well as for creating models in production for the Danish language.\",\n}\n", "homepage": "https://stromberg.ai/publication/danfever/", "license": "", "features": {"id": {"dtype": "string", "id": null, "_type": "Value"}, "claim": {"dtype": "string", "id": null, "_type": "Value"}, "label": {"num_classes": 3, "names": ["Refuted", "Supported", "NotEnoughInfo"], "id": null, "_type": "ClassLabel"}, "evidence_extract": {"dtype": "string", "id": null, "_type": "Value"}, "verifiable": {"num_classes": 2, "names": ["NotVerifiable", "Verifiable"], "id": null, "_type": "ClassLabel"}, "evidence": {"dtype": "string", "id": null, "_type": "Value"}, "original_id": {"dtype": "string", "id": null, "_type": "Value"}}, "post_processed": null, "supervised_keys": null, "task_templates": null, "builder_name": "dan_fever", "config_name": "DanFever", "version": {"version_str": "1.0.0", "description": null, "major": 1, "minor": 0, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 2940646, "num_examples": 6407, "dataset_name": "dan_fever"}}, "download_checksums": {"https://media.githubusercontent.com/media/StrombergNLP/danfever/main/tsv/da_fever.tsv": {"num_bytes": 2952080, "checksum": "4ca3e4ee85ff8e017c49cf05235c54a00655db54c5c0a728cb4015e71b4e3efa"}}, "download_size": 2952080, "post_processing_size": null, "dataset_size": 2940646, "size_in_bytes": 5892726}}
+{
+    "DanFever": {
+        "description": "\n",
+        "citation": "@inproceedings{norregaard-derczynski-2021-danfever,\n    title = \"{D}an{FEVER}: claim verification dataset for {D}anish\",\n    author = \"N{\\o}rregaard, Jeppe  and\n      Derczynski, Leon\",\n    booktitle = \"Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)\",\n    month = may # \" 31--2 \" # jun,\n    year = \"2021\",\n    address = \"Reykjavik, Iceland (Online)\",\n    publisher = {Link{\"o}ping University Electronic Press, Sweden},\n    url = \"https://aclanthology.org/2021.nodalida-main.47\",\n    pages = \"422--428\",\n    abstract = \"We present a dataset, DanFEVER, intended for multilingual misinformation research. The dataset is in Danish and has the same format as the well-known English FEVER dataset. It can be used for testing methods in multilingual settings, as well as for creating models in production for the Danish language.\",\n}\n",
+        "homepage": "https://stromberg.ai/publication/danfever/",
+        "license": "",
+        "features": {
+            "id": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "claim": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "label": {
+                "names": [
+                    "Refuted",
+                    "Supported",
+                    "NotEnoughInfo"
+                ],
+                "_type": "ClassLabel"
+            },
+            "evidence_extract": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "verifiable": {
+                "names": [
+                    "NotVerifiable",
+                    "Verifiable"
+                ],
+                "_type": "ClassLabel"
+            },
+            "evidence": {
+                "dtype": "string",
+                "_type": "Value"
+            },
+            "original_id": {
+                "dtype": "string",
+                "_type": "Value"
+            }
+        },
+        "builder_name": "parquet",
+        "dataset_name": "danfever",
+        "config_name": "DanFever",
+        "version": {
+            "version_str": "1.0.0",
+            "major": 1,
+            "minor": 0,
+            "patch": 0
+        },
+        "splits": {
+            "train": {
+                "name": "train",
+                "num_bytes": 2940646,
+                "num_examples": 6407,
+                "dataset_name": null
+            }
+        },
+        "download_size": 721856,
+        "dataset_size": 2940646,
+        "size_in_bytes": 3662502
+    }
+}