Make defunct dataset (#8)

- Raise DefunctDatasetError (4755999e7934e8648285bb78e2fea72d4fdafdb6)
- Add defunct disclaimer to dataset card (4f4857ae38fe7dc0c172760e1129280a70aac8ff)
- Delete legacy dataset_infos.json (45895db2cf0b680e43773174f330eca3a6a38a13)

README.md

@@ -86,6 +86,10 @@ dataset_info:
   dataset_size: 1350667360
 ---
 
+<div class="course-tip course-tip-orange bg-gradient-to-br dark:bg-gradient-to-r before:border-orange-500 dark:before:border-orange-800 from-orange-50 dark:from-gray-900 to-white dark:to-gray-950 border border-orange-50 text-orange-700 dark:text-gray-400">
+  <p><b>Defunct:</b> Dataset "eli5" is defunct and no longer accessible due to unavailability of the source data.</p>
+</div>
+
 ## <span style="color:red">⚠️ Reddit recently [changed the terms of access](https://www.reddit.com/r/reddit/comments/12qwagm/an_update_regarding_reddits_api/) to its API, making the source data for this dataset unavailable</span>.
 
 # Dataset Card for ELI5

dataset_infos.json

@@ -1,173 +0,0 @@
-{
-    "LFQA_reddit": {
-        "description": "Explain Like I'm 5 long form QA dataset\n",
-        "citation": "@inproceedings{DBLP:conf/acl/FanJPGWA19,\n  author    = {Angela Fan and\n               Yacine Jernite and\n               Ethan Perez and\n               David Grangier and\n               Jason Weston and\n               Michael Auli},\n  editor    = {Anna Korhonen and\n               David R. Traum and\n               Lluis Marquez},\n  title     = {{ELI5:} Long Form Question Answering},\n  booktitle = {Proceedings of the 57th Conference of the Association for Computational\n               Linguistics, {ACL} 2019, Florence, Italy, July 28- August 2, 2019,\n               Volume 1: Long Papers},\n  pages     = {3558--3567},\n  publisher = {Association for Computational Linguistics},\n  year      = {2019},\n  url       = {https://doi.org/10.18653/v1/p19-1346},\n  doi       = {10.18653/v1/p19-1346},\n}\n",
-        "homepage": "https://facebookresearch.github.io/ELI5/explore.html",
-        "license": "",
-        "features": {
-            "q_id": {
-                "dtype": "string",
-                "id": null,
-                "_type": "Value"
-            },
-            "title": {
-                "dtype": "string",
-                "id": null,
-                "_type": "Value"
-            },
-            "selftext": {
-                "dtype": "string",
-                "id": null,
-                "_type": "Value"
-            },
-            "document": {
-                "dtype": "string",
-                "id": null,
-                "_type": "Value"
-            },
-            "subreddit": {
-                "dtype": "string",
-                "id": null,
-                "_type": "Value"
-            },
-            "answers": {
-                "feature": {
-                    "a_id": {
-                        "dtype": "string",
-                        "id": null,
-                        "_type": "Value"
-                    },
-                    "text": {
-                        "dtype": "string",
-                        "id": null,
-                        "_type": "Value"
-                    },
-                    "score": {
-                        "dtype": "int32",
-                        "id": null,
-                        "_type": "Value"
-                    }
-                },
-                "length": -1,
-                "id": null,
-                "_type": "Sequence"
-            },
-            "title_urls": {
-                "feature": {
-                    "url": {
-                        "dtype": "string",
-                        "id": null,
-                        "_type": "Value"
-                    }
-                },
-                "length": -1,
-                "id": null,
-                "_type": "Sequence"
-            },
-            "selftext_urls": {
-                "feature": {
-                    "url": {
-                        "dtype": "string",
-                        "id": null,
-                        "_type": "Value"
-                    }
-                },
-                "length": -1,
-                "id": null,
-                "_type": "Sequence"
-            },
-            "answers_urls": {
-                "feature": {
-                    "url": {
-                        "dtype": "string",
-                        "id": null,
-                        "_type": "Value"
-                    }
-                },
-                "length": -1,
-                "id": null,
-                "_type": "Sequence"
-            }
-        },
-        "supervised_keys": null,
-        "builder_name": "eli5",
-        "config_name": "LFQA_reddit",
-        "version": {
-            "version_str": "1.0.0",
-            "description": null,
-            "datasets_version_to_prepare": null,
-            "major": 1,
-            "minor": 0,
-            "patch": 0
-        },
-        "splits": {
-            "train_eli5": {
-                "name": "train_eli5",
-                "num_bytes": 577188173,
-                "num_examples": 272634,
-                "dataset_name": "eli5"
-            },
-            "validation_eli5": {
-                "name": "validation_eli5",
-                "num_bytes": 21117891,
-                "num_examples": 9812,
-                "dataset_name": "eli5"
-            },
-            "test_eli5": {
-                "name": "test_eli5",
-                "num_bytes": 53099796,
-                "num_examples": 24512,
-                "dataset_name": "eli5"
-            },
-            "train_asks": {
-                "name": "train_asks",
-                "num_bytes": 286464210,
-                "num_examples": 131778,
-                "dataset_name": "eli5"
-            },
-            "validation_asks": {
-                "name": "validation_asks",
-                "num_bytes": 9662481,
-                "num_examples": 2281,
-                "dataset_name": "eli5"
-            },
-            "test_asks": {
-                "name": "test_asks",
-                "num_bytes": 17713920,
-                "num_examples": 4462,
-                "dataset_name": "eli5"
-            },
-            "train_askh": {
-                "name": "train_askh",
-                "num_bytes": 330483260,
-                "num_examples": 98525,
-                "dataset_name": "eli5"
-            },
-            "validation_askh": {
-                "name": "validation_askh",
-                "num_bytes": 18690845,
-                "num_examples": 4901,
-                "dataset_name": "eli5"
-            },
-            "test_askh": {
-                "name": "test_askh",
-                "num_bytes": 36246784,
-                "num_examples": 9764,
-                "dataset_name": "eli5"
-            }
-        },
-        "download_checksums": {
-            "https://s3.amazonaws.com/datasets.huggingface.co/nlp/datasets_experimental/explainlikeimfive/reddit_data_split.json": {
-                "num_bytes": 6326543,
-                "checksum": "e605c4854787f3db85415b90ab80bb9ca2e2bd5208391e02aff081be2690923f"
-            },
-            "https://s3.amazonaws.com/datasets.huggingface.co/nlp/datasets/eli5/reddit_data_split.json": {
-                "checksum": "e605c4854787f3db85415b90ab80bb9ca2e2bd5208391e02aff081be2690923f",
-                "num_bytes": 6326543
-            }
-        },
-        "download_size": 6326543,
-        "dataset_size": 1350667360,
-        "size_in_bytes": 1356993903
-    }
-}

eli5.py

@@ -27,6 +27,7 @@ from os.path import join as pjoin
 from time import time
 
 import datasets
+from datasets.exceptions import DefunctDatasetError
 
 
 logger = datasets.logging.get_logger(__name__)
@@ -270,6 +271,9 @@ class Eli5(datasets.GeneratorBasedBuilder):
     test_dummy_data = False
 
     def _info(self):
+        raise DefunctDatasetError(
+            "Dataset 'eli5' is defunct and no longer accessible due to unavailability of the source data"
+        )
         return datasets.DatasetInfo(
             description=_DESCRIPTION,
             features=datasets.Features(