Add el data files

README.md

@@ -168,16 +168,16 @@ dataset_info:
           '2': contradiction
   splits:
   - name: train
-    num_bytes: 139753678
+    num_bytes: 139753358
     num_examples: 392702
   - name: test
-    num_bytes: 1704793
+    num_bytes: 1704785
     num_examples: 5010
   - name: validation
-    num_bytes: 841234
+    num_bytes: 841226
     num_examples: 2490
-  download_size: 483963712
-  dataset_size: 142299705
+  download_size: 74551247
+  dataset_size: 142299369
 - config_name: en
   features:
   - name: premise
@@ -478,6 +478,14 @@ configs:
     path: de/test-*
   - split: validation
     path: de/validation-*
+- config_name: el
+  data_files:
+  - split: train
+    path: el/train-*
+  - split: test
+    path: el/test-*
+  - split: validation
+    path: el/validation-*
 ---
 
 # Dataset Card for "xnli"

dataset_infos.json

@@ -178,29 +178,23 @@
         "features": {
             "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,
         "builder_name": "xnli",
+        "dataset_name": "xnli",
         "config_name": "el",
         "version": {
             "version_str": "1.1.0",
@@ -212,37 +206,26 @@
         "splits": {
             "train": {
                 "name": "train",
-                "num_bytes": 139753678,
+                "num_bytes": 139753358,
                 "num_examples": 392702,
-                "dataset_name": "xnli"
+                "dataset_name": null
             },
             "test": {
                 "name": "test",
-                "num_bytes": 1704793,
+                "num_bytes": 1704785,
                 "num_examples": 5010,
-                "dataset_name": "xnli"
+                "dataset_name": null
             },
             "validation": {
                 "name": "validation",
-                "num_bytes": 841234,
+                "num_bytes": 841226,
                 "num_examples": 2490,
-                "dataset_name": "xnli"
-            }
-        },
-        "download_checksums": {
-            "https://dl.fbaipublicfiles.com/XNLI/XNLI-MT-1.0.zip": {
-                "num_bytes": 466098360,
-                "checksum": "f732517ba2fb1d550e9f3c2aabaef6017c91ee2dcec90e878f138764d224db05"
-            },
-            "https://dl.fbaipublicfiles.com/XNLI/XNLI-1.0.zip": {
-                "num_bytes": 17865352,
-                "checksum": "4ba1d5e1afdb7161f0f23c66dc787802ccfa8a25a3ddd3b165a35e50df346ab1"
+                "dataset_name": null
             }
         },
-        "download_size": 483963712,
-        "post_processing_size": null,
-        "dataset_size": 142299705,
-        "size_in_bytes": 626263417
+        "download_size": 74551247,
+        "dataset_size": 142299369,
+        "size_in_bytes": 216850616
     },
     "en": {
         "description": "XNLI is a subset of a few thousand examples from MNLI which has been translated\ninto a 14 different languages (some low-ish resource). As with MNLI, the goal is\nto predict textual entailment (does sentence A imply/contradict/neither sentence\nB) and is a classification task (given two sentences, predict one of three\nlabels).\n",

el/test-00000-of-00001.parquet

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+size 489529

el/train-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:2663e218de5250a1cc62c32121807175a4453a4102b1e99cb13d20399d911d87
+size 73814854

el/validation-00000-of-00001.parquet

@@ -0,0 +1,3 @@
+version https://git-lfs.github.com/spec/v1
+oid sha256:d173137cc27825fb0cb1dea81310141a5206692d78c150e28d23dac6f3f30e8e
+size 246864