add val-data

dataset_info.json

@@ -0,0 +1,170 @@
+{
+  "builder_name": "natural_questions",
+  "citation": "\n@article{47761,\ntitle\t= {Natural Questions: a Benchmark for Question Answering Research},\nauthor\t= {Tom Kwiatkowski and Jennimaria Palomaki and Olivia Redfield and Michael Collins and Ankur Parikh and Chris Alberti and Danielle Epstein and Illia Polosukhin and Matthew Kelcey and Jacob Devlin and Kenton Lee and Kristina N. Toutanova and Llion Jones and Ming-Wei Chang and Andrew Dai and Jakob Uszkoreit and Quoc Le and Slav Petrov},\nyear\t= {2019},\njournal\t= {Transactions of the Association of Computational Linguistics}\n}\n",
+  "config_name": "default",
+  "dataset_size": 99799117880,
+  "description": "\nThe NQ corpus contains questions from real users, and it requires QA systems to\nread and comprehend an entire Wikipedia article that may or may not contain the\nanswer to the question. The inclusion of real user questions, and the\nrequirement that solutions should read an entire page to find the answer, cause\nNQ to be a more realistic and challenging task than prior QA datasets.\n",
+  "download_checksums": {},
+  "download_size": 45069199013,
+  "features": {
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+  "homepage": "https://ai.google.com/research/NaturalQuestions/dataset",
+  "license": "",
+  "post_processed": null,
+  "post_processing_size": null,
+  "size_in_bytes": 144868316893,
+  "splits": {
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+      "name": "train",
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+      "num_examples": 307373
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+      "num_examples": 7830
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+    "version_str": "0.0.2"
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+}

natural_questions-validation.arrow

@@ -0,0 +1,3 @@
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+size 2353975312

state.json

@@ -0,0 +1,24 @@
+{
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+  "_data_files": [
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+      "skip": 0,
+      "take": 7830
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+  "_fingerprint": "fad309a3f11c14f9",
+  "_format_columns": null,
+  "_format_kwargs": {},
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+  "_indexes": {},
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+  "_indices_data_files": [],
+  "_inplace_history": [
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+  "_output_all_columns": false,
+  "_split": "validation"
+}