add dataset_info in dataset metadata
Browse files
README.md
CHANGED
@@ -42,6 +42,217 @@ configs:
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- fr
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- ja
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- zh
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---
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# Dataset Card for The Multilingual Amazon Reviews Corpus
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@@ -224,4 +435,4 @@ Phillip Keung, Yichao Lu, György Szarvas and Noah A. Smith. “The Multilingual
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### Contributions
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-
Thanks to [@joeddav](https://github.com/joeddav) for adding this dataset.
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- fr
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- ja
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- zh
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+
dataset_info:
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- config_name: all_languages
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features:
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- name: review_id
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dtype: string
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- name: product_id
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dtype: string
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- name: reviewer_id
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dtype: string
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- name: stars
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dtype: int32
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- name: review_body
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dtype: string
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- name: review_title
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dtype: string
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- name: language
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dtype: string
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- name: product_category
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dtype: string
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splits:
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- name: test
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num_bytes: 9099141
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num_examples: 30000
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- name: train
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num_bytes: 364405048
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num_examples: 1200000
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- name: validation
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num_bytes: 9047533
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num_examples: 30000
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download_size: 640320386
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dataset_size: 382551722
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- config_name: de
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features:
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- name: review_id
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dtype: string
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- name: product_id
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dtype: string
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- name: reviewer_id
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dtype: string
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- name: stars
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dtype: int32
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- name: review_body
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dtype: string
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- name: review_title
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dtype: string
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- name: language
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dtype: string
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- name: product_category
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dtype: string
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splits:
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- name: test
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num_bytes: 1611044
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num_examples: 5000
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- name: train
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num_bytes: 64485678
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num_examples: 200000
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- name: validation
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num_bytes: 1605727
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num_examples: 5000
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download_size: 94802490
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dataset_size: 67702449
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- config_name: en
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features:
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- name: review_id
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dtype: string
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- name: product_id
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dtype: string
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- name: reviewer_id
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dtype: string
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- name: stars
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dtype: int32
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- name: review_body
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dtype: string
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- name: review_title
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dtype: string
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- name: language
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dtype: string
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- name: product_category
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dtype: string
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splits:
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- name: test
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num_bytes: 1460565
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num_examples: 5000
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- name: train
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num_bytes: 58601089
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num_examples: 200000
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- name: validation
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num_bytes: 1474672
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num_examples: 5000
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download_size: 86094112
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dataset_size: 61536326
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- config_name: es
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features:
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- name: review_id
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dtype: string
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- name: product_id
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dtype: string
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- name: reviewer_id
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dtype: string
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- name: stars
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dtype: int32
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- name: review_body
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dtype: string
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- name: review_title
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dtype: string
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- name: language
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dtype: string
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- name: product_category
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dtype: string
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splits:
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- name: test
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num_bytes: 1312347
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num_examples: 5000
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- name: train
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num_bytes: 52375658
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num_examples: 200000
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- name: validation
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num_bytes: 1303958
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num_examples: 5000
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download_size: 81345461
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dataset_size: 54991963
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- config_name: fr
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features:
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- name: review_id
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dtype: string
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- name: product_id
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dtype: string
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- name: reviewer_id
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dtype: string
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- name: stars
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dtype: int32
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- name: review_body
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dtype: string
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- name: review_title
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dtype: string
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- name: language
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dtype: string
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- name: product_category
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dtype: string
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splits:
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- name: test
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num_bytes: 1364510
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num_examples: 5000
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- name: train
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+
num_bytes: 54593565
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num_examples: 200000
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- name: validation
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+
num_bytes: 1340763
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+
num_examples: 5000
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download_size: 85917293
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dataset_size: 57298838
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- config_name: ja
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features:
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- name: review_id
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dtype: string
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- name: product_id
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dtype: string
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- name: reviewer_id
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dtype: string
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- name: stars
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dtype: int32
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- name: review_body
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dtype: string
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- name: review_title
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dtype: string
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- name: language
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dtype: string
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- name: product_category
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dtype: string
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splits:
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- name: test
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num_bytes: 2048048
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+
num_examples: 5000
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- name: train
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num_bytes: 82401390
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num_examples: 200000
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- name: validation
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num_bytes: 2035391
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+
num_examples: 5000
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+
download_size: 177773783
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dataset_size: 86484829
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- config_name: zh
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features:
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- name: review_id
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dtype: string
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- name: product_id
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dtype: string
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+
- name: reviewer_id
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dtype: string
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+
- name: stars
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+
dtype: int32
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+
- name: review_body
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+
dtype: string
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+
- name: review_title
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dtype: string
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+
- name: language
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dtype: string
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+
- name: product_category
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dtype: string
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splits:
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- name: test
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num_bytes: 1302711
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num_examples: 5000
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- name: train
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num_bytes: 51947668
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num_examples: 200000
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+
- name: validation
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num_bytes: 1287106
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+
num_examples: 5000
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download_size: 114387247
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dataset_size: 54537485
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---
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# Dataset Card for The Multilingual Amazon Reviews Corpus
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435 |
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### Contributions
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+
Thanks to [@joeddav](https://github.com/joeddav) for adding this dataset.
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