init

README.md

@@ -1,5 +1,37 @@
-# Analogy Test Dataset
-This dataset contains five different word analogy datasets. Each contains jsonline files for validation and test, in which each line consists of following dictionary,
+---
+language:
+- en
+license:
+- other
+multilinguality:
+- monolingual
+size_categories:
+- n<1K
+pretty_name: Analogy Question
+---
+
+# Dataset Card for "relbert/analogy_questions"
+## Dataset Description
+- **Repository:** [RelBERT](https://github.com/asahi417/relbert)
+- **Paper:** [https://aclanthology.org/2021.acl-long.280/](https://aclanthology.org/2021.acl-long.280/)
+- **Dataset:** Analogy Questions
+
+### Dataset Summary
+This dataset contains 5 different word analogy questions used in [Analogy Language Model](https://aclanthology.org/2021.acl-long.280/).
+
+| name | Size (valid/test) | Num of choice | Num of relation group | Original Reference                                                         |
+|---------|------------------:|--------------:|----------------------:|:--------------------------------------------------------------------------:|
+| `sat_full`| -/374             | 5             | 2                     | [Turney (2005)](https://arxiv.org/pdf/cs/0508053.pdf)                      |
+| `sat`     | 37/337            | 5             | 2                     | [Turney (2005)](https://arxiv.org/pdf/cs/0508053.pdf)                      |
+| `u2`      | 24/228            | 5,4,3         | 9                     | [EnglishForEveryone](https://englishforeveryone.org/Topics/Analogies.html) |
+| `u4`      | 48/432            | 5,4,3         | 5                     | [EnglishForEveryone](https://englishforeveryone.org/Topics/Analogies.html) |
+| `google`  | 50/500            | 4             | 2                     | [Mikolov et al., (2013)](https://www.aclweb.org/anthology/N13-1090.pdf)    |
+| `bats`    | 199/1799          | 4             | 3                     | [Gladkova et al., (2016)](https://www.aclweb.org/anthology/N18-2017.pdf)   |
+
+
+## Dataset Structure
+### Data Instances
+An example of `test` looks as follows.
 ```
 {"stem": ["raphael", "painter"],
  "answer": 2,
@@ -9,18 +41,10 @@ This dataset contains five different word analogy datasets. Each contains jsonli
             ["tolstoi", "edison"]]}
 ```
 where `stem` is the query word pair, `choice` has word pair candidates,
-and `answer` indicates the index of correct candidate which starts from `0`. Data statistics are summarized as below.
-
-| Dataset | Size (valid/test) | Num of choice | Num of relation group | Original Reference                                                         |
-|---------|------------------:|--------------:|----------------------:|:--------------------------------------------------------------------------:|
-| sat_full| -/374             | 5             | 2                     | [Turney (2005)](https://arxiv.org/pdf/cs/0508053.pdf)                      |
-| sat     | 37/337            | 5             | 2                     | [Turney (2005)](https://arxiv.org/pdf/cs/0508053.pdf)                      |
-| u2      | 24/228            | 5,4,3         | 9                     | [EnglishForEveryone](https://englishforeveryone.org/Topics/Analogies.html) |
-| u4      | 48/432            | 5,4,3         | 5                     | [EnglishForEveryone](https://englishforeveryone.org/Topics/Analogies.html) |
-| google  | 50/500            | 4             | 2                     | [Mikolov et al., (2013)](https://www.aclweb.org/anthology/N13-1090.pdf)    |
-| bats    | 199/1799          | 4             | 3                     | [Gladkova et al., (2016)](https://www.aclweb.org/anthology/N18-2017.pdf)   |
+and `answer` indicates the index of correct candidate which starts from `0`.
+All data is lowercased except Google dataset.
 
-All data is lowercased except Google dataset. Please read [our paper](https://arxiv.org/abs/2105.04949) for more information about the dataset and cite it if you use the dataset:
+### Citation Information
 ```
 @inproceedings{ushio-etal-2021-bert-is,
     title ={{BERT} is to {NLP} what {A}lex{N}et is to {CV}: {C}an {P}re-{T}rained {L}anguage {M}odels {I}dentify {A}nalogies?},