Update split

README.md

@@ -54,7 +54,6 @@ pretty_name: the EUR-Lex dataset
 - **Repository:** http://nlp.cs.aueb.gr/software_and_datasets/EURLEX57K/
 - **Paper:** https://www.aclweb.org/anthology/P19-1636/
 - **Leaderboard:** N/A
-- **Point of Contact:** [Ilias Chalkidis](mailto:ihalk@aueb.gr)
 
 ### Dataset Summary
 

dataset_infos.json

@@ -1 +1,60 @@
-{"eurlex57k": {"description": "EURLEX57K contains 57k legislative documents in English from EUR-Lex portal, annotated with EUROVOC concepts.\n", "citation": "@inproceedings{chalkidis-etal-2019-large,\n    title = \"Large-Scale Multi-Label Text Classification on {EU} Legislation\",\n    author = \"Chalkidis, Ilias  and Fergadiotis, Emmanouil  and Malakasiotis, Prodromos  and Androutsopoulos, Ion\",\n    booktitle = \"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics\",\n    year = \"2019\",\n    address = \"Florence, Italy\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://www.aclweb.org/anthology/P19-1636\",\n    doi = \"10.18653/v1/P19-1636\",\n    pages = \"6314--6322\"\n}\n", "homepage": "http://nlp.cs.aueb.gr/software_and_datasets/EURLEX57K/", "license": "CC BY-SA (Creative Commons / Attribution-ShareAlike)", "features": {"celex_id": {"dtype": "string", "id": null, "_type": "Value"}, "title": {"dtype": "string", "id": null, "_type": "Value"}, "text": {"dtype": "string", "id": null, "_type": "Value"}, "eurovoc_concepts": {"feature": {"dtype": "string", "id": null, "_type": "Value"}, "length": -1, "id": null, "_type": "Sequence"}}, "post_processed": null, "supervised_keys": null, "builder_name": "eurlex", "config_name": "eurlex57k", "version": {"version_str": "1.1.0", "description": null, "major": 1, "minor": 1, "patch": 0}, "splits": {"train": {"name": "train", "num_bytes": 167603718, "num_examples": 45000, "dataset_name": "eurlex"}, "test": {"name": "test", "num_bytes": 22046706, "num_examples": 6000, "dataset_name": "eurlex"}, "validation": {"name": "validation", "num_bytes": 21942574, "num_examples": 6000, "dataset_name": "eurlex"}}, "download_checksums": {"http://archive.org/download/EURLEX57K/dataset.zip": {"num_bytes": 50289403, "checksum": "dc6830ce8ea49aea049989c4a8253b12d0fb3665fc336d830cb07b9bd28c0f92"}}, "download_size": 50289403, "post_processing_size": null, "dataset_size": 211592998, "size_in_bytes": 261882401}}
+{
+  "eurlex57k": {
+    "description": "EURLEX57K contains 57k legislative documents in English from EUR-Lex portal, annotated with EUROVOC concepts.\n",
+    "citation": "@inproceedings{chalkidis-etal-2019-large,\n    title = \"Large-Scale Multi-Label Text Classification on {EU} Legislation\",\n    author = \"Chalkidis, Ilias  and Fergadiotis, Emmanouil  and Malakasiotis, Prodromos  and Androutsopoulos, Ion\",\n    booktitle = \"Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics\",\n    year = \"2019\",\n    address = \"Florence, Italy\",\n    publisher = \"Association for Computational Linguistics\",\n    url = \"https://www.aclweb.org/anthology/P19-1636\",\n    doi = \"10.18653/v1/P19-1636\",\n    pages = \"6314--6322\"\n}\n",
+    "homepage": "http://nlp.cs.aueb.gr/software_and_datasets/EURLEX57K/",
+    "license": "CC BY-SA (Creative Commons / Attribution-ShareAlike)",
+    "features": {
+      "celex_id": { "dtype": "string", "id": null, "_type": "Value" },
+      "title": { "dtype": "string", "id": null, "_type": "Value" },
+      "text": { "dtype": "string", "id": null, "_type": "Value" },
+      "eurovoc_concepts": {
+        "feature": { "dtype": "string", "id": null, "_type": "Value" },
+        "length": -1,
+        "id": null,
+        "_type": "Sequence"
+      }
+    },
+    "post_processed": null,
+    "supervised_keys": null,
+    "builder_name": "eurlex",
+    "config_name": "eurlex57k",
+    "version": {
+      "version_str": "1.1.0",
+      "description": null,
+      "major": 1,
+      "minor": 1,
+      "patch": 0
+    },
+    "splits": {
+      "train": {
+        "name": "train",
+        "num_bytes": 167603718,
+        "num_examples": 45000,
+        "dataset_name": "eurlex"
+      },
+      "test": {
+        "name": "test",
+        "num_bytes": 22046706,
+        "num_examples": 6000,
+        "dataset_name": "eurlex"
+      },
+      "validation": {
+        "name": "validation",
+        "num_bytes": 21942574,
+        "num_examples": 6000,
+        "dataset_name": "eurlex"
+      }
+    },
+    "download_checksums": {
+      "http://archive.org/download/EURLEX57K/dataset.zip": {
+        "num_bytes": 50289403,
+        "checksum": "dc6830ce8ea49aea049989c4a8253b12d0fb3665fc336d830cb07b9bd28c0f92"
+      }
+    },
+    "download_size": 50289403,
+    "post_processing_size": null,
+    "dataset_size": 211592998,
+    "size_in_bytes": 261882401
+  }
+}

eurlex.py

@@ -126,6 +126,6 @@ class EURLEX(datasets.GeneratorBasedBuilder):
                 yield id_, {
                     "celex_id": data["celex_id"],
                     "title": data["title"],
-                    "text": "\n".join([data["header"], data["recitals"]] + data["main_body"]),
+                    "text": data["header"] + "\n" + data["recitals"],
                     "eurovoc_concepts": data["eurovoc_concepts"],
                 }