Commit
·
b83b145
1
Parent(s):
6bcf0d7
Delete legacy dataset_infos.json
Browse files- dataset_infos.json +0 -103
dataset_infos.json
DELETED
|
@@ -1,103 +0,0 @@
|
|
| 1 |
-
{
|
| 2 |
-
"plain_text": {
|
| 3 |
-
"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",
|
| 4 |
-
"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",
|
| 5 |
-
"homepage": "https://github.com/facebookresearch/anli/",
|
| 6 |
-
"license": "",
|
| 7 |
-
"features": {
|
| 8 |
-
"uid": {
|
| 9 |
-
"dtype": "string",
|
| 10 |
-
"_type": "Value"
|
| 11 |
-
},
|
| 12 |
-
"premise": {
|
| 13 |
-
"dtype": "string",
|
| 14 |
-
"_type": "Value"
|
| 15 |
-
},
|
| 16 |
-
"hypothesis": {
|
| 17 |
-
"dtype": "string",
|
| 18 |
-
"_type": "Value"
|
| 19 |
-
},
|
| 20 |
-
"label": {
|
| 21 |
-
"names": [
|
| 22 |
-
"entailment",
|
| 23 |
-
"neutral",
|
| 24 |
-
"contradiction"
|
| 25 |
-
],
|
| 26 |
-
"_type": "ClassLabel"
|
| 27 |
-
},
|
| 28 |
-
"reason": {
|
| 29 |
-
"dtype": "string",
|
| 30 |
-
"_type": "Value"
|
| 31 |
-
}
|
| 32 |
-
},
|
| 33 |
-
"builder_name": "anli",
|
| 34 |
-
"dataset_name": "anli",
|
| 35 |
-
"config_name": "plain_text",
|
| 36 |
-
"version": {
|
| 37 |
-
"version_str": "0.1.0",
|
| 38 |
-
"description": "",
|
| 39 |
-
"major": 0,
|
| 40 |
-
"minor": 1,
|
| 41 |
-
"patch": 0
|
| 42 |
-
},
|
| 43 |
-
"splits": {
|
| 44 |
-
"train_r1": {
|
| 45 |
-
"name": "train_r1",
|
| 46 |
-
"num_bytes": 8006888,
|
| 47 |
-
"num_examples": 16946,
|
| 48 |
-
"dataset_name": null
|
| 49 |
-
},
|
| 50 |
-
"dev_r1": {
|
| 51 |
-
"name": "dev_r1",
|
| 52 |
-
"num_bytes": 573428,
|
| 53 |
-
"num_examples": 1000,
|
| 54 |
-
"dataset_name": null
|
| 55 |
-
},
|
| 56 |
-
"test_r1": {
|
| 57 |
-
"name": "test_r1",
|
| 58 |
-
"num_bytes": 574917,
|
| 59 |
-
"num_examples": 1000,
|
| 60 |
-
"dataset_name": null
|
| 61 |
-
},
|
| 62 |
-
"train_r2": {
|
| 63 |
-
"name": "train_r2",
|
| 64 |
-
"num_bytes": 20801581,
|
| 65 |
-
"num_examples": 45460,
|
| 66 |
-
"dataset_name": null
|
| 67 |
-
},
|
| 68 |
-
"dev_r2": {
|
| 69 |
-
"name": "dev_r2",
|
| 70 |
-
"num_bytes": 556066,
|
| 71 |
-
"num_examples": 1000,
|
| 72 |
-
"dataset_name": null
|
| 73 |
-
},
|
| 74 |
-
"test_r2": {
|
| 75 |
-
"name": "test_r2",
|
| 76 |
-
"num_bytes": 572639,
|
| 77 |
-
"num_examples": 1000,
|
| 78 |
-
"dataset_name": null
|
| 79 |
-
},
|
| 80 |
-
"train_r3": {
|
| 81 |
-
"name": "train_r3",
|
| 82 |
-
"num_bytes": 44720719,
|
| 83 |
-
"num_examples": 100459,
|
| 84 |
-
"dataset_name": null
|
| 85 |
-
},
|
| 86 |
-
"dev_r3": {
|
| 87 |
-
"name": "dev_r3",
|
| 88 |
-
"num_bytes": 663148,
|
| 89 |
-
"num_examples": 1200,
|
| 90 |
-
"dataset_name": null
|
| 91 |
-
},
|
| 92 |
-
"test_r3": {
|
| 93 |
-
"name": "test_r3",
|
| 94 |
-
"num_bytes": 657586,
|
| 95 |
-
"num_examples": 1200,
|
| 96 |
-
"dataset_name": null
|
| 97 |
-
}
|
| 98 |
-
},
|
| 99 |
-
"download_size": 26286748,
|
| 100 |
-
"dataset_size": 77126972,
|
| 101 |
-
"size_in_bytes": 103413720
|
| 102 |
-
}
|
| 103 |
-
}
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|