---
license: mit
language:
- en
paperswithcode_id: embedding-data/altlex
pretty_name: altlex
---

# Dataset Card for "altlex"

## Table of Contents
- [Dataset Description](#dataset-description)
  - [Dataset Summary](#dataset-summary)
  - [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
  - [Languages](#languages)
- [Dataset Structure](#dataset-structure)
  - [Data Instances](#data-instances)
  - [Data Fields](#data-fields)
  - [Data Splits](#data-splits)
- [Dataset Creation](#dataset-creation)
  - [Curation Rationale](#curation-rationale)
  - [Source Data](#source-data)
  - [Annotations](#annotations)
  - [Personal and Sensitive Information](#personal-and-sensitive-information)
- [Considerations for Using the Data](#considerations-for-using-the-data)
  - [Social Impact of Dataset](#social-impact-of-dataset)
  - [Discussion of Biases](#discussion-of-biases)
  - [Other Known Limitations](#other-known-limitations)
- [Additional Information](#additional-information)
  - [Dataset Curators](#dataset-curators)
  - [Licensing Information](#licensing-information)
  - [Citation Information](#citation-information)
  - [Contributions](#contributions)
  
## Dataset Description

- **Homepage:** [https://github.com/chridey/altlex](https://github.com/chridey/altlex)
- **Repository:** [More Information Needed](https://github.com/chridey/altlex)
- **Paper:** [https://aclanthology.org/P16-1135.pdf](https://aclanthology.org/P16-1135.pdf)
**Point of Contact:** [Christopher Hidey](ch3085@columbia.edu)

### Dataset Summary

Git repository for software associated with the 2016 ACL paper "Identifying Causal Relations Using Parallel Wikipedia Articles."

### Supported Tasks and Leaderboards

[More Information Needed](https://github.com/chridey/altlex)

### Languages

[More Information Needed](https://github.com/chridey/altlex)

## Dataset Structure

Parallel Wikipedia Format

This is a gzipped, JSON-formatted file. The "titles" array is the shared title name of the English and Simple Wikipedia articles. 
The "articles" array consists of two arrays and each of those arrays must be the same length as the "titles" array and 
the indices into these arrays must point to the aligned articles and titles. 
Each article within the articles array is an array of tokenized sentence strings (but not word tokenized).

The format of the dictionary is as follows:

```
{"files": [english_name, simple_name],
 "articles": [
              [[article_1_sentence_1_string, article_1_sentence_2_string, ...],
               [article_2_sentence_1_string, article_2_sentence_2_string, ...],
               ...
              ],
              [[article_1_sentence_1_string, article_1_sentence_2_string, ...],
               [article_2_sentence_1_string, article_2_sentence_2_string, ...],
               ...
              ]
             ],
  "titles": [title_1_string, title_2_string, ...]
}

```

Parsed Wikipedia Format

This is a gzipped, JSON-formatted list of parsed Wikipedia article pairs. 
The list stored at 'sentences' is of length 2 and stores each version
of the English and Wikipedia article with the same title.

The data is formatted as follows:

```
[
 {
  "index": article_index,
  "title": article_title_string,
  "sentences": [[parsed_sentence_1, parsed_sentence_2, ...],
                [parsed_sentence_1, parsed_sentence_2, ...]
               ]
 },
 ...
]

```

Parsed Pairs Format

This is a gzipped, JSON-formatted list of parsed sentences. Paraphrase pairs are consecutive 
even and odd indices. For the parsed sentence, see "Parsed Sentence Format."

The data is formatted as follows:

```
[
  ...,
  parsed_sentence_2,
  parsed_sentence_3,
  ...
]

```

Parsed Sentence Format

Each parsed sentence is of the following format:

```
{
   "dep": [[[governor_index, dependent_index, relation_string], ...], ...], 
   "lemmas": [[lemma_1_string, lemma_2_string, ...], ...],
   "pos": [[pos_1_string, pos_2_string, ...], ...],
   "parse": [parenthesized_parse_1_string, ...], 
   "words": [[word_1_string, word_2_string, ...], ...] , 
   "ner": [[ner_1_string, ner_2_string, ...], ...]
}

```

Feature Extractor Config Format

```
{"framenetSettings": 
   {"binary": true/false}, 
 "featureSettings": 
   {
   "arguments_cat_curr": true/false, 
   "arguments_verbnet_prev": true/false, 
   "head_word_cat_curr": true/false, 
   "head_word_verbnet_prev": true/false, 
   "head_word_verbnet_altlex": true/false, 
   "head_word_cat_prev": true/false, 
   "head_word_cat_altlex": true/false, 
   "kld_score": true/false, 
   "head_word_verbnet_curr": true/false, 
   "arguments_verbnet_curr": true/false, 
   "framenet": true/false, 
   "arguments_cat_prev": true/false, 
   "connective": true/false
   }, 
 "kldSettings": 
   {"kldDir": $kld_name}
}

```

Data Point Format

It is also possible to run the feature extractor directly on a single data point. 
From the featureExtraction module create a FeatureExtractor object and call the method addFeatures
on a DataPoint object (note that this does not create any interaction features,
for that you will also need to call makeInteractionFeatures). 
The DataPoint class takes a dictionary as input, in the following format:

```
{
"sentences": {[{"ner": [...], "pos": [...], "words": [...], "stems": [...], "lemmas": [...], "dependencies": [...]}, {...}]}
"altlexLength": integer,
"altlex": {"dependencies": [...]}
}
The sentences list is the pair of sentences/spans where the first span begins with the altlex. Dependencies must be a list where at index i there is a dependency relation string and governor index integer or a NoneType. Index i into the words list is the dependent of this relation. To split single sentence dependency relations, use the function splitDependencies in utils.dependencyUtils.

```

### Curation Rationale

[More Information Needed](https://github.com/chridey/altlex)

### Source Data

#### Initial Data Collection and Normalization

[More Information Needed](https://github.com/chridey/altlex)

#### Who are the source language producers?

[More Information Needed](https://github.com/chridey/altlex)

### Annotations

#### Annotation process

[More Information Needed](https://github.com/chridey/altlex)

#### Who are the annotators?

[More Information Needed](https://github.com/chridey/altlex)

### Personal and Sensitive Information

[More Information Needed](https://github.com/chridey/altlex)

## Considerations for Using the Data

### Social Impact of Dataset

[More Information Needed](https://github.com/chridey/altlex)

### Discussion of Biases

[More Information Needed](https://github.com/chridey/altlex)

### Other Known Limitations

[More Information Needed](https://github.com/chridey/altlex)

## Additional Information

### Dataset Curators

[More Information Needed](https://github.com/chridey/altlex)

### Licensing Information

[More Information Needed](https://github.com/chridey/altlex)

### Citation Information

### Contributions

Thanks to [@chridey](https://github.com/chridey/altlex/commits?author=chridey)
---