Delete legacy dataset_infos.json

dataset_infos.json

@@ -1,103 +0,0 @@
-{
-    "plain_text": {
-        "description": "The Adversarial Natural Language Inference (ANLI) is a new large-scale NLI benchmark dataset,\nThe dataset is collected via an iterative, adversarial human-and-model-in-the-loop procedure.\nANLI is much more difficult than its predecessors including SNLI and MNLI.\nIt contains three rounds. Each round has train/dev/test splits.\n",
-        "citation": "@InProceedings{nie2019adversarial,\n    title={Adversarial NLI: A New Benchmark for Natural Language Understanding},\n    author={Nie, Yixin\n                and Williams, Adina\n                and Dinan, Emily\n                and Bansal, Mohit\n                and Weston, Jason\n                and Kiela, Douwe},\n    booktitle = \"Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics\",\n    year = \"2020\",\n    publisher = \"Association for Computational Linguistics\",\n}\n",
-        "homepage": "https://github.com/facebookresearch/anli/",
-        "license": "",
-        "features": {
-            "uid": {
-                "dtype": "string",
-                "_type": "Value"
-            },
-            "premise": {
-                "dtype": "string",
-                "_type": "Value"
-            },
-            "hypothesis": {
-                "dtype": "string",
-                "_type": "Value"
-            },
-            "label": {
-                "names": [
-                    "entailment",
-                    "neutral",
-                    "contradiction"
-                ],
-                "_type": "ClassLabel"
-            },
-            "reason": {
-                "dtype": "string",
-                "_type": "Value"
-            }
-        },
-        "builder_name": "anli",
-        "dataset_name": "anli",
-        "config_name": "plain_text",
-        "version": {
-            "version_str": "0.1.0",
-            "description": "",
-            "major": 0,
-            "minor": 1,
-            "patch": 0
-        },
-        "splits": {
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-                "num_examples": 16946,
-                "dataset_name": null
-            },
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-                "num_examples": 1000,
-                "dataset_name": null
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-                "dataset_name": null
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-                "num_examples": 1000,
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-        "download_size": 26286748,
-        "dataset_size": 77126972,
-        "size_in_bytes": 103413720
-    }
-}