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A person on a horse jumps over a broken down airplane. | A person is training his horse for a competition. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A person on a horse jumps over a broken down airplane. | A person is at a diner, ordering an omelette. | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A person on a horse jumps over a broken down airplane. | A person is outdoors, on a horse. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Children smiling and waving at camera | They are smiling at their parents | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Children smiling and waving at camera | There are children present | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Children smiling and waving at camera | The kids are frowning | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A boy is jumping on skateboard in the middle of a red bridge. | The boy skates down the sidewalk. | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A boy is jumping on skateboard in the middle of a red bridge. | The boy does a skateboarding trick. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A boy is jumping on skateboard in the middle of a red bridge. | The boy is wearing safety equipment. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
An older man sits with his orange juice at a small table in a coffee shop while employees in bright colored shirts smile in the background. | An older man drinks his juice as he waits for his daughter to get off work. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
An older man sits with his orange juice at a small table in a coffee shop while employees in bright colored shirts smile in the background. | A boy flips a burger. | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
An older man sits with his orange juice at a small table in a coffee shop while employees in bright colored shirts smile in the background. | An elderly man sits in a small shop. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Two blond women are hugging one another. | Some women are hugging on vacation. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Two blond women are hugging one another. | The women are sleeping. | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Two blond women are hugging one another. | There are women showing affection. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A few people in a restaurant setting, one of them is drinking orange juice. | The people are eating omelettes. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A few people in a restaurant setting, one of them is drinking orange juice. | The people are sitting at desks in school. | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A few people in a restaurant setting, one of them is drinking orange juice. | The diners are at a restaurant. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
An older man is drinking orange juice at a restaurant. | A man is drinking juice. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
An older man is drinking orange juice at a restaurant. | Two women are at a restaurant drinking wine. | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
An older man is drinking orange juice at a restaurant. | A man in a restaurant is waiting for his meal to arrive. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A man with blond-hair, and a brown shirt drinking out of a public water fountain. | A blond man getting a drink of water from a fountain in the park. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A man with blond-hair, and a brown shirt drinking out of a public water fountain. | A blond man wearing a brown shirt is reading a book on a bench in the park | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A man with blond-hair, and a brown shirt drinking out of a public water fountain. | A blond man drinking water from a fountain. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Two women who just had lunch hugging and saying goodbye. | The friends scowl at each other over a full dinner table. | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Two women who just had lunch hugging and saying goodbye. | There are two woman in this picture. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Two women who just had lunch hugging and saying goodbye. | The friends have just met for the first time in 20 years, and have had a great time catching up. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Two women, holding food carryout containers, hug. | The two sisters saw each other across the crowded diner and shared a hug, both clutching their doggie bags. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Two women, holding food carryout containers, hug. | Two groups of rival gang members flipped each other off. | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Two women, holding food carryout containers, hug. | Two women hug each other. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A Little League team tries to catch a runner sliding into a base in an afternoon game. | A team is trying to score the games winning out. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A Little League team tries to catch a runner sliding into a base in an afternoon game. | A team is trying to tag a runner out. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A Little League team tries to catch a runner sliding into a base in an afternoon game. | A team is playing baseball on Saturn. | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
The school is having a special event in order to show the american culture on how other cultures are dealt with in parties. | A school hosts a basketball game. | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
The school is having a special event in order to show the american culture on how other cultures are dealt with in parties. | A high school is hosting an event. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
The school is having a special event in order to show the american culture on how other cultures are dealt with in parties. | A school is hosting an event. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
High fashion ladies wait outside a tram beside a crowd of people in the city. | The women do not care what clothes they wear. | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
High fashion ladies wait outside a tram beside a crowd of people in the city. | Women are waiting by a tram. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
High fashion ladies wait outside a tram beside a crowd of people in the city. | The women enjoy having a good fashion sense. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A man, woman, and child enjoying themselves on a beach. | A child with mom and dad, on summer vacation at the beach. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A man, woman, and child enjoying themselves on a beach. | A family of three is at the beach. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A man, woman, and child enjoying themselves on a beach. | A family of three is at the mall shopping. | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
People waiting to get on a train or just getting off. | The people waiting on the train are sitting. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
People waiting to get on a train or just getting off. | There are people just getting on a train | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
People waiting to get on a train or just getting off. | There are people waiting on a train. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A couple playing with a little boy on the beach. | A couple are playing with a young child outside. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A couple playing with a little boy on the beach. | A couple are playing frisbee with a young child at the beach. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A couple playing with a little boy on the beach. | A couple watch a little girl play by herself on the beach. | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A couple play in the tide with their young son. | The family is sitting down for dinner. | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A couple play in the tide with their young son. | The family is outside. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A couple play in the tide with their young son. | The family is on vacation. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A man and a woman cross the street in front of a pizza and gyro restaurant. | The people are standing still on the curb. | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A man and a woman cross the street in front of a pizza and gyro restaurant. | Near a couple of restaurants, two people walk across the street. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A man and a woman cross the street in front of a pizza and gyro restaurant. | The couple are walking across the street together. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A woman in a green jacket and hood over her head looking towards a valley. | The woman is nake. | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A woman in a green jacket and hood over her head looking towards a valley. | The woman is cold. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
A woman in a green jacket and hood over her head looking towards a valley. | The woman is wearing green. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background. | The man with the sign is caucasian. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background. | They are protesting outside the capital. | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background. | A woman in white. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background. | A man is advertising for a restaurant. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background. | The woman is wearing black. | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background. | A man and a woman walk down a crowded city street. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background. | The woman is wearing white. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background. | They are working for John's Pizza. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background. | Olympic swimming. | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background. | A man and a soman are eating together at John's Pizza and Gyro. | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background. | They are walking with a sign. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background. | The woman is waiting for a friend. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background. | The man is sitting down while he has a sign for John's Pizza and Gyro in his arms. | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background. | The woman and man are outdoors. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Woman in white in foreground and a man slightly behind walking with a sign for John's Pizza and Gyro in the background. | A woman ordering pizza. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground. | The people are related. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground. | Two adults run across the street to get away from a red shirted person chasing them. | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground. | The adults are both male and female. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground. | Two people walk home after a tasty steak dinner. | [
{
"user_id": null,
"value": "1",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground. | Two adults swimming in water | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground. | Two adults walk across a street. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground. | Two people ride bicycles into a tunnel. | [
{
"user_id": null,
"value": "2",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
"agent": null
} | null | {} |
Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground. | Two people walk away from a restaurant across a street. | [
{
"user_id": null,
"value": "0",
"status": "submitted"
}
] | null | {
"type": null,
"score": null,
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} | null | {} |
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Two adults, one female in white, with shades and one male, gray clothes, walking across a street, away from a eatery with a blurred image of a dark colored red shirted person in the foreground. | Two friends cross a street. | [
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Dataset Card for snli-small
This dataset has been created with Argilla.
As shown in the sections below, this dataset can be loaded into Argilla as explained in Load with Argilla, or used directly with the datasets library in Load with datasets.
Dataset Summary
This dataset contains:
A dataset configuration file conforming to the Argilla dataset format named
argilla.yaml. This configuration file will be used to configure the dataset when using theFeedbackDataset.from_huggingfacemethod in Argilla.Dataset records in a format compatible with HuggingFace
datasets. These records will be loaded automatically when usingFeedbackDataset.from_huggingfaceand can be loaded independently using thedatasetslibrary viaload_dataset.The annotation guidelines that have been used for building and curating the dataset, if they've been defined in Argilla.
Load with Argilla
To load with Argilla, you'll just need to install Argilla as pip install argilla --upgrade and then use the following code:
import argilla as rg
ds = rg.FeedbackDataset.from_huggingface("plaguss/snli-small")
Load with datasets
To load this dataset with datasets, you'll just need to install datasets as pip install datasets --upgrade and then use the following code:
from datasets import load_dataset
ds = load_dataset("plaguss/snli-small")
Supported Tasks and Leaderboards
This dataset can contain multiple fields, questions and responses so it can be used for different NLP tasks, depending on the configuration. The dataset structure is described in the Dataset Structure section.
There are no leaderboards associated with this dataset.
Languages
[More Information Needed]
Dataset Structure
Data in Argilla
The dataset is created in Argilla with: fields, questions, suggestions, and guidelines.
The fields are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.
| Field Name | Title | Type | Required | Markdown |
|---|---|---|---|---|
| premise | Premise | TextField | True | False |
| hypothesis | Hypothesis | TextField | True | False |
The questions are the questions that will be asked to the annotators. They can be of different types, such as rating, text, single choice, or multiple choice.
| Question Name | Title | Type | Required | Description | Values/Labels |
|---|---|---|---|---|---|
| label | The hypothesis entails the premise, neither entails nor contradict each other, or the hypothesis contradicts the premise? | LabelQuestion | True | N/A | ['0', '1', '2'] |
✨ NEW Additionally, we also have suggestions, which are linked to the existing questions, and so on, named appending "-suggestion" and "-suggestion-metadata" to those, containing the value/s of the suggestion and its metadata, respectively. So on, the possible values are the same as in the table above.
Finally, the guidelines are just a plain string that can be used to provide instructions to the annotators. Find those in the annotation guidelines section.
Data Instances
An example of a dataset instance in Argilla looks as follows:
{
"fields": {
"hypothesis": "A person is training his horse for a competition.",
"premise": "A person on a horse jumps over a broken down airplane."
},
"metadata": {},
"responses": [
{
"status": "submitted",
"values": {
"label": {
"value": "1"
}
}
}
],
"suggestions": []
}
While the same record in HuggingFace datasets looks as follows:
{
"external_id": null,
"hypothesis": "A person is training his horse for a competition.",
"label": [
{
"status": "submitted",
"user_id": null,
"value": "1"
}
],
"label-suggestion": null,
"label-suggestion-metadata": {
"agent": null,
"score": null,
"type": null
},
"metadata": "{}",
"premise": "A person on a horse jumps over a broken down airplane."
}
Data Fields
Among the dataset fields, we differentiate between the following:
Fields: These are the dataset records themselves, for the moment just text fields are suppported. These are the ones that will be used to provide responses to the questions.
- premise is of type
TextField. - hypothesis is of type
TextField.
- premise is of type
Questions: These are the questions that will be asked to the annotators. They can be of different types, such as
RatingQuestion,TextQuestion,LabelQuestion,MultiLabelQuestion, andRankingQuestion.- label is of type
LabelQuestionwith the following allowed values ['0', '1', '2'].
- label is of type
✨ NEW Suggestions: As of Argilla 1.13.0, the suggestions have been included to provide the annotators with suggestions to ease or assist during the annotation process. Suggestions are linked to the existing questions, are always optional, and contain not just the suggestion itself, but also the metadata linked to it, if applicable.
- (optional) label-suggestion is of type
label_selectionwith the following allowed values ['0', '1', '2'].
- (optional) label-suggestion is of type
Additionally, we also have one more field which is optional and is the following:
- external_id: This is an optional field that can be used to provide an external ID for the dataset record. This can be useful if you want to link the dataset record to an external resource, such as a database or a file.
Data Splits
The dataset contains a single split, which is train.
Dataset Creation
Curation Rationale
[More Information Needed]
Source Data
Initial Data Collection and Normalization
[More Information Needed]
Who are the source language producers?
[More Information Needed]
Annotations
Annotation guidelines
Premise: A string used to determine the truthfulness of the hypothesis, Hypothesis: A string that may be true, false, or whose truth conditions may not be knowable when compared to the premise
Annotation process
[More Information Needed]
Who are the annotators?
[More Information Needed]
Personal and Sensitive Information
[More Information Needed]
Considerations for Using the Data
Social Impact of Dataset
[More Information Needed]
Discussion of Biases
[More Information Needed]
Other Known Limitations
[More Information Needed]
Additional Information
Dataset Curators
[More Information Needed]
Licensing Information
[More Information Needed]
Citation Information
[More Information Needed]
Contributions
[More Information Needed]
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