Commit
·
de54f13
1
Parent(s):
f556296
Convert dataset to Parquet
Browse filesConvert dataset to Parquet.
README.md
CHANGED
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@@ -10,8 +10,6 @@ license:
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- gfdl
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multilinguality:
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- monolingual
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-
paperswithcode_id: wikitext-2
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-
pretty_name: WikiText
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size_categories:
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- 1M<n<10M
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source_datasets:
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@@ -22,40 +20,42 @@ task_categories:
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task_ids:
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- language-modeling
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- masked-language-modeling
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dataset_info:
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- config_name: wikitext-103-v1
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features:
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- name: text
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dtype: string
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splits:
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- name: test
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-
num_bytes:
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num_examples: 4358
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- name: train
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-
num_bytes:
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num_examples: 1801350
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- name: validation
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-
num_bytes:
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num_examples: 3760
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download_size:
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dataset_size:
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- config_name: wikitext-
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features:
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- name: text
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dtype: string
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splits:
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- name: test
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num_bytes:
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num_examples: 4358
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- name: train
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num_bytes:
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- name: validation
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num_bytes:
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num_examples: 3760
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download_size:
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dataset_size:
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- config_name: wikitext-
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features:
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- name: text
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dtype: string
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@@ -64,29 +64,38 @@ dataset_info:
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num_bytes: 1305092
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num_examples: 4358
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- name: train
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-
num_bytes:
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num_examples:
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- name: validation
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num_bytes: 1159292
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num_examples: 3760
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download_size:
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dataset_size:
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- config_name: wikitext-2-
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features:
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- name: text
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dtype: string
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splits:
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- name: test
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-
num_bytes:
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num_examples: 4358
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- name: train
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-
num_bytes:
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num_examples: 36718
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- name: validation
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-
num_bytes:
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num_examples: 3760
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download_size:
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dataset_size:
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---
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# Dataset Card for "wikitext"
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- gfdl
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multilinguality:
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- monolingual
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size_categories:
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- 1M<n<10M
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source_datasets:
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task_ids:
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- language-modeling
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- masked-language-modeling
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paperswithcode_id: wikitext-2
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pretty_name: WikiText
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dataset_info:
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- config_name: wikitext-103-raw-v1
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features:
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- name: text
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dtype: string
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splits:
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- name: test
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num_bytes: 1305092
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num_examples: 4358
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- name: train
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num_bytes: 546501673
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num_examples: 1801350
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- name: validation
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num_bytes: 1159292
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num_examples: 3760
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download_size: 191984949
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dataset_size: 548966057
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- config_name: wikitext-103-v1
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features:
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- name: text
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dtype: string
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splits:
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- name: test
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num_bytes: 1295575
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num_examples: 4358
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- name: train
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num_bytes: 545141915
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num_examples: 1801350
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- name: validation
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num_bytes: 1154751
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num_examples: 3760
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download_size: 313093838
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dataset_size: 547592241
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- config_name: wikitext-2-raw-v1
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features:
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- name: text
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dtype: string
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num_bytes: 1305092
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num_examples: 4358
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- name: train
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num_bytes: 11061733
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num_examples: 36718
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- name: validation
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num_bytes: 1159292
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num_examples: 3760
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download_size: 4721645
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dataset_size: 13526117
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- config_name: wikitext-2-v1
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features:
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- name: text
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dtype: string
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splits:
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- name: test
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num_bytes: 1270951
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num_examples: 4358
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- name: train
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num_bytes: 10918134
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num_examples: 36718
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- name: validation
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num_bytes: 1134127
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num_examples: 3760
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download_size: 4475746
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dataset_size: 13323212
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configs:
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- config_name: wikitext-103-v1
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data_files:
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- split: test
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path: wikitext-103-v1/test-*
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- split: train
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path: wikitext-103-v1/train-*
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+
- split: validation
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path: wikitext-103-v1/validation-*
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---
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# Dataset Card for "wikitext"
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dataset_infos.json
CHANGED
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-
{
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{
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"wikitext-103-v1": {
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"description": " The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified\n Good and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike\n License.\n",
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+
"citation": "@misc{merity2016pointer,\n title={Pointer Sentinel Mixture Models},\n author={Stephen Merity and Caiming Xiong and James Bradbury and Richard Socher},\n year={2016},\n eprint={1609.07843},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n",
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"homepage": "https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/",
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"license": "Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)",
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"features": {
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"text": {
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"dtype": "string",
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"_type": "Value"
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}
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},
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"builder_name": "wikitext",
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"dataset_name": "wikitext",
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"config_name": "wikitext-103-v1",
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"version": {
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"size_in_bytes": 860686079
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},
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"wikitext-2-v1": {
|
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"description": " The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified\n Good and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike\n License.\n",
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+
"citation": "@misc{merity2016pointer,\n title={Pointer Sentinel Mixture Models},\n author={Stephen Merity and Caiming Xiong and James Bradbury and Richard Socher},\n year={2016},\n eprint={1609.07843},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n",
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"homepage": "https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/",
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| 50 |
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"license": "Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)",
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"features": {
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"text": {
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"builder_name": "wikitext",
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"config_name": "wikitext-2-v1",
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"version": {
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},
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"download_checksums": {
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"size_in_bytes": 17798958
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},
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"wikitext-103-raw-v1": {
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+
"description": " The WikiText language modeling dataset is a collection of over 100 million tokens extracted from the set of verified\n Good and Featured articles on Wikipedia. The dataset is available under the Creative Commons Attribution-ShareAlike\n License.\n",
|
| 103 |
+
"citation": "@misc{merity2016pointer,\n title={Pointer Sentinel Mixture Models},\n author={Stephen Merity and Caiming Xiong and James Bradbury and Richard Socher},\n year={2016},\n eprint={1609.07843},\n archivePrefix={arXiv},\n primaryClass={cs.CL}\n}\n",
|
| 104 |
+
"homepage": "https://blog.einstein.ai/the-wikitext-long-term-dependency-language-modeling-dataset/",
|
| 105 |
+
"license": "Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0)",
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| 106 |
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"features": {
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"text": {
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"dtype": "string",
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"id": null,
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"_type": "Value"
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},
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"post_processed": null,
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"builder_name": "wikitext",
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"config_name": "wikitext-103-raw-v1",
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| 118 |
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"version": {
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"version_str": "1.0.0",
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"description": null,
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"dataset_name": "wikitext"
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