Add nli data files

README.md

@@ -150,13 +150,13 @@ dataset_info:
           '2': contradiction
   splits:
   - name: train
-    num_bytes: 5719930
+    num_bytes: 5719882
     num_examples: 24998
   - name: validation
-    num_bytes: 673276
+    num_bytes: 673260
     num_examples: 3000
-  download_size: 1257374
-  dataset_size: 6393206
+  download_size: 2056116
+  dataset_size: 6393142
 - config_name: re
   features:
   - name: guid
@@ -313,6 +313,12 @@ dataset_info:
   download_size: 5012303
   dataset_size: 12148765
 configs:
+- config_name: nli
+  data_files:
+  - split: train
+    path: nli/train-*
+  - split: validation
+    path: nli/validation-*
 - config_name: sts
   data_files:
   - split: train

dataset_infos.json

@@ -138,40 +138,31 @@
         "features": {
             "guid": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "source": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "premise": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "hypothesis": {
                 "dtype": "string",
-                "id": null,
                 "_type": "Value"
             },
             "label": {
-                "num_classes": 3,
                 "names": [
                     "entailment",
                     "neutral",
                     "contradiction"
                 ],
-                "names_file": null,
-                "id": null,
                 "_type": "ClassLabel"
             }
         },
-        "post_processed": null,
-        "supervised_keys": null,
-        "task_templates": null,
         "builder_name": "klue",
+        "dataset_name": "klue",
         "config_name": "nli",
         "version": {
             "version_str": "1.0.0",
@@ -183,27 +174,20 @@
         "splits": {
             "train": {
                 "name": "train",
-                "num_bytes": 5719930,
+                "num_bytes": 5719882,
                 "num_examples": 24998,
-                "dataset_name": "klue"
+                "dataset_name": null
             },
             "validation": {
                 "name": "validation",
-                "num_bytes": 673276,
+                "num_bytes": 673260,
                 "num_examples": 3000,
-                "dataset_name": "klue"
-            }
-        },
-        "download_checksums": {
-            "http://klue-benchmark.com.s3.amazonaws.com/app/Competitions/000068/data/klue-nli-v1.tar.gz": {
-                "num_bytes": 1257374,
-                "checksum": "388be2033ef712072201903795a35b4f86826ee3ed3b62dc0c98e1721baa8850"
+                "dataset_name": null
             }
         },
-        "download_size": 1257374,
-        "post_processing_size": null,
-        "dataset_size": 6393206,
-        "size_in_bytes": 7650580
+        "download_size": 2056116,
+        "dataset_size": 6393142,
+        "size_in_bytes": 8449258
     },
     "ner": {
         "description": "KLUE (Korean Language Understanding Evaluation)\nKorean Language Understanding Evaluation (KLUE) benchmark is a series of datasets to evaluate natural language\nunderstanding capability of Korean language models. KLUE consists of 8 diverse and representative tasks, which are accessible\nto anyone without any restrictions. With ethical considerations in mind, we deliberately design annotation guidelines to obtain\nunambiguous annotations for all datasets. Futhermore, we build an evaluation system and carefully choose evaluations metrics\nfor every task, thus establishing fair comparison across Korean language models.\n",

nli/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
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+size 1832150

nli/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:b809f8f0aac2a2f41cd095bf15d8dbca9c931d7539390b6ef6241ca976195423
+size 223966