#
Datasets:

sentence (string) | fol_translation (string) |
---|---|

"Some engineers were astronauts." | "exists x1.(_engineer(x1) & exists x2.(_astronaut(x2) & (x1 = x2)))" |

"Some items were facts." | "exists x1.(_item(x1) & exists x2.(_fact(x2) & (x1 = x2)))" |

"Some sites are wetlands." | "exists x1.(_site(x1) & exists x2.(_wetland(x2) & (x1 = x2)))" |

"Some objects are artefacts." | "exists x1.(_object(x1) & exists x2.(_artefact(x2) & (x1 = x2)))" |

"Some objects are siblings." | "exists x1.(_object(x1) & exists x2.(_sibling(x2) & (x1 = x2)))" |

"Some others are conflations." | "exists x1.(_other(x1) & exists x2.(_conflation(x2) & (x1 = x2)))" |

"Some cases are subdivisions." | "exists x1.(_case(x1) & exists x2.(_subdivision(x2) & (x1 = x2)))" |

"Some classes is people." | "exists x1.(_class(x1) & exists x2.(_people(x2) & (x1 = x2)))" |

"Some customs are ones." | "exists x1.(_custom(x1) & exists x2.(_one(x2) & (x1 = x2)))" |

"Some members are masters." | "exists x1.(_member(x1) & exists x2.(_master(x2) & (x1 = x2)))" |

"Some owners were gentlemen." | "exists x1.(_owner(x1) & exists x2.(_gentleman(x2) & (x1 = x2)))" |

"Some people are fans." | "exists x1.(_people(x1) & exists x2.(_fan(x2) & (x1 = x2)))" |

"Some teams are winners." | "exists x1.(_team(x1) & exists x2.(_winner(x2) & (x1 = x2)))" |

"Some people were slaves." | "exists x1.(_people(x1) & exists x2.(_slave(x2) & (x1 = x2)))" |

"Some suspicions are sins." | "exists x1.(_suspicion(x1) & exists x2.(_sin(x2) & (x1 = x2)))" |

"Some way are fabrics." | "exists x1.(_way(x1) & exists x2.(_fabric(x2) & (x1 = x2)))" |

"Some groups are civilians." | "exists x1.(_group(x1) & exists x2.(_civilian(x2) & (x1 = x2)))" |

"Some Poles were accomplices." | "exists x1.(_poles(x1) & exists x2.(_accomplice(x2) & (x1 = x2)))" |

"Some contraries are contradictories." | "exists x1.(_contrary(x1) & exists x2.(_contradictory(x2) & (x1 = x2)))" |

"Some others are evildoers." | "exists x1.(_other(x1) & exists x2.(_evildoer(x2) & (x1 = x2)))" |

"Some members are centres." | "exists x1.(_member(x1) & exists x2.(_centre(x2) & (x1 = x2)))" |

"Some men are wolves." | "exists x1.(_man(x1) & exists x2.(_wolf(x2) & (x1 = x2)))" |

"Some stones are wrecks." | "exists x1.(_stone(x1) & exists x2.(_wreck(x2) & (x1 = x2)))" |

"Some others were robbers." | "exists x1.(_other(x1) & exists x2.(_robber(x2) & (x1 = x2)))" |

"Some people are volunteers." | "exists x1.(_people(x1) & exists x2.(_volunteer(x2) & (x1 = x2)))" |

"Some people are victims." | "exists x1.(_people(x1) & exists x2.(_victim(x2) & (x1 = x2)))" |

"Some packages are dependencies." | "exists x1.(_package(x1) & exists x2.(_dependency(x2) & (x1 = x2)))" |

"Some people are pessimists." | "exists x1.(_people(x1) & exists x2.(_pessimist(x2) & (x1 = x2)))" |

"Some players are tenpai." | "exists x1.(_player(x1) & exists x2.(_tenpaus(x2) & (x1 = x2)))" |

"Some MS were measures." | "exists x1.(_m(x1) & exists x2.(_measure(x2) & (x1 = x2)))" |

"Some Congressmen were members." | "exists x1.(_congressman(x1) & exists x2.(_member(x2) & (x1 = x2)))" |

"Some tenants are nonprofits." | "exists x1.(_tenant(x1) & exists x2.(_nonprofit(x2) & (x1 = x2)))" |

"Some mammals are legislators." | "exists x1.(_mammal(x1) & exists x2.(_legislator(x2) & (x1 = x2)))" |

"Some people are perfectionists." | "exists x1.(_people(x1) & exists x2.(_perfectionist(x2) & (x1 = x2)))" |

"Some extent was shares." | "exists x1.(_extent(x1) & exists x2.(_share(x2) & (x1 = x2)))" |

"Some creatures are armies." | "exists x1.(_creature(x1) & exists x2.(_army(x2) & (x1 = x2)))" |

"Some people are homosexuals." | "exists x1.(_people(x1) & exists x2.(_homosexual(x2) & (x1 = x2)))" |

"Some animals are pests." | "exists x1.(_animal(x1) & exists x2.(_pest(x2) & (x1 = x2)))" |

"Some lobbyists are members." | "exists x1.(_lobbyist(x1) & exists x2.(_member(x2) & (x1 = x2)))" |

"Some days are days." | "exists x1.(_day(x1) & exists x2.(_day(x2) & (x1 = x2)))" |

"Some strategies are winners." | "exists x1.(_strategy(x1) & exists x2.(_winner(x2) & (x1 = x2)))" |

"Some extent is enzymes." | "exists x1.(_extent(x1) & exists x2.(_enzyme(x2) & (x1 = x2)))" |

"Some walls were people." | "exists x1.(_wall(x1) & exists x2.(_people(x2) & (x1 = x2)))" |

"Some places are dwellings." | "exists x1.(_place(x1) & exists x2.(_dwelling(x2) & (x1 = x2)))" |

"Some people are thought-leaders." | "exists x1.(_people(x1) & exists x2.(_thought_dash_leader(x2) & (x1 = x2)))" |

"Some markets were indications." | "exists x1.(_market(x1) & exists x2.(_indication(x2) & (x1 = x2)))" |

"Some Samaritans were Jews." | "exists x1.(_samaritan(x1) & exists x2.(_jews(x2) & (x1 = x2)))" |

"Some Romans were benefactors." | "exists x1.(_roman(x1) & exists x2.(_benefactor(x2) & (x1 = x2)))" |

"Some Arabs are Christians." | "exists x1.(_arab(x1) & exists x2.(_christian(x2) & (x1 = x2)))" |

"Some people were slaves." | "exists x1.(_people(x1) & exists x2.(_slave(x2) & (x1 = x2)))" |

"Some beggars are locals." | "exists x1.(_beggar(x1) & exists x2.(_local(x2) & (x1 = x2)))" |

"Some Europeans are grasshoppers." | "exists x1.(_european(x1) & exists x2.(_grasshopper(x2) & (x1 = x2)))" |

"Some states are members." | "exists x1.(_state(x1) & exists x2.(_member(x2) & (x1 = x2)))" |

"Some point were awardees." | "exists x1.(_point(x1) & exists x2.(_awardee(x2) & (x1 = x2)))" |

"Some vendors are laggards." | "exists x1.(_vendor(x1) & exists x2.(_laggard(x2) & (x1 = x2)))" |

"Some things are nomdok." | "exists x1.(_thing(x1) & _nomdok(x1))" |

"Some Syrians are terrorists." | "exists x1.(_syrian(x1) & exists x2.(_terrorist(x2) & (x1 = x2)))" |

"Some donors were people." | "exists x1.(_donor(x1) & exists x2.(_people(x2) & (x1 = x2)))" |

"Some ideas are catalysts." | "exists x1.(_idea(x1) & exists x2.(_catalyst(x2) & (x1 = x2)))" |

"Some suspicions are sins." | "exists x1.(_suspicion(x1) & exists x2.(_sin(x2) & (x1 = x2)))" |

"Some minds were fears." | "exists x1.(_mind(x1) & exists x2.(_fear(x2) & (x1 = x2)))" |

"Some Buddhists are hypocrites." | "exists x1.(_buddhist(x1) & exists x2.(_hypocrite(x2) & (x1 = x2)))" |

"Some men are thieves." | "exists x1.(_man(x1) & exists x2.(_thief(x2) & (x1 = x2)))" |

"Some time is cities." | "exists x1.(_time(x1) & exists x2.(_city(x2) & (x1 = x2)))" |

"Some boats were children." | "exists x1.(_boat(x1) & exists x2.(_child(x2) & (x1 = x2)))" |

"Some police are people." | "exists x1.(_police(x1) & exists x2.(_people(x2) & (x1 = x2)))" |

"Some rhythm were necessities." | "exists x1.(_rhythm(x1) & exists x2.(_necessity(x2) & (x1 = x2)))" |

"Some women are biddies." | "exists x1.(_woman(x1) & exists x2.(_biddy(x2) & (x1 = x2)))" |

"Some stages are races." | "exists x1.(_stage(x1) & exists x2.(_race(x2) & (x1 = x2)))" |

"Some people are connectors." | "exists x1.(_people(x1) & exists x2.(_connector(x2) & (x1 = x2)))" |

"Some people are socialists." | "exists x1.(_people(x1) & exists x2.(_socialist(x2) & (x1 = x2)))" |

"Some Democrats are die-hards." | "exists x1.(_democrat(x1) & exists x2.(_die_dash_hard(x2) & (x1 = x2)))" |

"Some things are givens." | "exists x1.(_thing(x1) & exists x2.(_given(x2) & (x1 = x2)))" |

"Some messengers are experts." | "exists x1.(_messenger(x1) & exists x2.(_expert(x2) & (x1 = x2)))" |

"Some bouncers are assholes." | "exists x1.(_bouncer(x1) & exists x2.(_asshole(x2) & (x1 = x2)))" |

"Some songs are classics." | "exists x1.(_song(x1) & exists x2.(_classic(x2) & (x1 = x2)))" |

"Some extent were curricula." | "exists x1.(_extent(x1) & exists x2.(_curriculum(x2) & (x1 = x2)))" |

"Some Mountains are fulgamites." | "exists x1.(_mountain(x1) & exists x2.(_fulgamite(x2) & (x1 = x2)))" |

"Some antibiotics are mutagens." | "exists x1.(_antibiotic(x1) & exists x2.(_mutagen(x2) & (x1 = x2)))" |

"Some people are multiples." | "exists x1.(_people(x1) & exists x2.(_multiple(x2) & (x1 = x2)))" |

"Some practitioners are masters." | "exists x1.(_practitioner(x1) & exists x2.(_master(x2) & (x1 = x2)))" |

"Some data is words." | "exists x1.(_datum(x1) & exists x2.(_word(x2) & (x1 = x2)))" |

"Some men are officers." | "exists x1.(_man(x1) & exists x2.(_officer(x2) & (x1 = x2)))" |

"Some people are members." | "exists x1.(_people(x1) & exists x2.(_member(x2) & (x1 = x2)))" |

"Some bends are characters." | "exists x1.(_bend(x1) & exists x2.(_character(x2) & (x1 = x2)))" |

"Some countries are children." | "exists x1.(_country(x1) & exists x2.(_child(x2) & (x1 = x2)))" |

"Some people are potatoes." | "exists x1.(_people(x1) & exists x2.(_potato(x2) & (x1 = x2)))" |

"Some anarchists are pacifists." | "exists x1.(_anarchist(x1) & exists x2.(_pacifist(x2) & (x1 = x2)))" |

"Some cases are fronts." | "exists x1.(_case(x1) & exists x2.(_front(x2) & (x1 = x2)))" |

"Some lines are trifles." | "exists x1.(_line(x1) & exists x2.(_trifle(x2) & (x1 = x2)))" |

"Some men are fools." | "exists x1.(_man(x1) & exists x2.(_fool(x2) & (x1 = x2)))" |

"Some trails are multi-purpose." | "exists x1.(_trail(x1) & _multi_dash_purpose(x1))" |

"Some people are winners." | "exists x1.(_people(x1) & exists x2.(_winner(x2) & (x1 = x2)))" |

"Some residents are Christians." | "exists x1.(_resident(x1) & exists x2.(_christian(x2) & (x1 = x2)))" |

"Some combatants are citizens." | "exists x1.(_combatant(x1) & exists x2.(_citizen(x2) & (x1 = x2)))" |

"Some cases are superintendents." | "exists x1.(_case(x1) & exists x2.(_superintendent(x2) & (x1 = x2)))" |

"Some countries are innovators." | "exists x1.(_country(x1) & exists x2.(_innovator(x2) & (x1 = x2)))" |

"Some Kuna are traders." | "exists x1.(_kuna(x1) & exists x2.(_trader(x2) & (x1 = x2)))" |

"Some plants are indicators." | "exists x1.(_plant(x1) & exists x2.(_indicator(x2) & (x1 = x2)))" |

"Some nuts are seeds." | "exists x1.(_nut(x1) & exists x2.(_seed(x2) & (x1 = x2)))" |

# Dataset Card for text2log

### Dataset Summary

The dataset contains 100,000 simple English sentences selected and filtered from `enTenTen15`

and their translation into First Order Logic (FOL) using `ccg2lambda`

.

### Supported Tasks and Leaderboards

'semantic-parsing': The data set is used to train models which can generate FOL statements from natural language text

### Languages

en-US

## Dataset Structure

### Data Instances

```
{
'clean':'All things that are new are good.',
'trans':'all x1.(_thing(x1) -> (_new(x1) -> _good(x1)))'
}
```

### Data Fields

- 'clean': a simple English sentence
- 'trans': the corresponding translation into Lambda Dependency-based Compositional Semantics

### Data Splits

No predefined train/test split is given. The authors used a 80/20 split

## Dataset Creation

### Curation Rationale

The text2log data set is used to improve FOL statement generation from natural text

### Source Data

#### Initial Data Collection and Normalization

Short text samples selected from enTenTen15

#### Who are the source language producers?

See https://www.sketchengine.eu/ententen-english-corpus/

### Annotations

#### Annotation process

Machine generated using https://github.com/mynlp/ccg2lambda

#### Who are the annotators?

none

### Personal and Sensitive Information

The dataset does not contain personal or sensitive information.

## Considerations for Using the Data

### Social Impact of Dataset

[Needs More Information]

### Discussion of Biases

[Needs More Information]

### Other Known Limitations

[Needs More Information]

## Additional Information

### Dataset Curators

[Needs More Information]

### Licensing Information

None given

### Citation Information

```
@INPROCEEDINGS{9401852,
author={Levkovskyi, Oleksii and Li, Wei},
booktitle={SoutheastCon 2021},
title={Generating Predicate Logic Expressions from Natural Language},
year={2021},
volume={},
number={},
pages={1-8},
doi={10.1109/SoutheastCon45413.2021.9401852}
}
```

### Contributions

Thanks to @apergo-ai for adding this dataset.

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