Hugging Face's logo

Datasets:
edesaras
/
CEFR-Sentence-Level-Annotations

Tasks:
Text Classification
Modalities:
Tabular
Text
Formats:
parquet
Languages:
English
Size:
10K - 100K
Tags:
CEFR
English level
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
1
Dataset Viewer
Auto-converted to Parquet
Full Screen
text
stringlengths
15
213
Annotator I
int64
1
6
Annotator II
int64
1
6
Is that your bike ?
1
1
She had a beautiful necklace around her neck .
1
1
I forgot to bring my umbrella .
1
1
The baby kept crying .
1
1
Do you know what you 're doing this weekend ?
1
1
No one had money .
1
1
Ben must like his new car a lot .
1
2
Harrison got very excited when his parents gave him a car .
2
2
I like dogs more than cats .
1
2
Now I am being called by Softbank , too !
2
2
Larry has a shark 's tooth .
2
2
He 's already gone to bed .
1
2
He 's very good at taking care of children .
2
2
Sushi is raw fish .
2
2
Children love to play outdoors .
2
2
I want to eat something sweet .
1
2
I will do it as soon as I return .
2
2
Can you draw the British flag ?
1
2
She 's so quiet that we forget she 's here .
2
2
Where are my khaki shorts ?
1
2
These are the friends whose names you know .
2
2
David sent his friend a wedding gift .
1
2
I wish I had some cool water to drink .
1
2
Do n't wear khakis to the business meeting .
2
2
Mother was too shy to wear a bikini .
2
2
Shall I teach you to dance ?
1
2
This huge store only has three cashiers !
2
2
These were the men who ran the red light .
2
2
His wife is Vietnamese .
1
2
They were cycling in the mountains .
2
2
They 've just asked her to stay another year .
1
2
I have lunch after third period .
2
2
This iPad is as fast as a desktop computer .
2
2
It was past twelve when we arrived home .
1
2
I find it easy to sleep .
1
2
He planned to kill the president .
2
2
I wish I could have stayed there forever on that beach .
2
2
I could n't do it even if I tried .
2
2
Keep your knees up when you jump .
2
2
You may drive my car .
1
2
Driving is something I enjoy doing .
1
2
Do your work , or you wo n't get paid .
2
2
I wish it could be different .
1
2
It 's hard to tell if these are my socks or his .
2
2
I always wanted to be an athlete .
2
2
She 's changed her major from math to chemistry .
1
2
Were there any dresses you wanted to buy ?
2
2
Carley went shopping for a dress today .
2
2
He has a talking dog .
1
2
What 's the date today ?
1
2
I thought I had to talk to him .
2
2
I thought I saw him .
1
2
There is very little traffic on Sundays here .
2
2
He ran to the bus stop .
1
2
Sugar was bad for Henry .
1
2
We always see red fruit in the autumn .
2
2
You can find the contractor in his office .
2
2
I 'm looking for a carpenter .
2
2
Let 's go for a bike ride .
1
2
The divers were protected by a metal cage .
2
2
He has done more than anyone else .
2
2
I was called twice about it .
1
2
Those musicians ' guitars were stolen .
2
2
We should ask Amanda how to start a volunteer project .
2
2
We went to look for food .
1
2
Do you know what to say if you are stopped by the police ?
2
2
Megan started playing soccer during the summer break .
1
2
I do n't often wear ball gowns .
2
2
John did n't know why Amanda was so angry at him .
2
2
John knew they were bad people .
1
2
The driver did n't know where to turn .
2
2
I ca n't read all of these books .
1
2
It is easy to understand people who speak clearly .
2
2
You are as beautiful as ever to me .
2
2
She was as helpless as a baby .
2
2
It is difficult to talk to her peacefully .
2
2
We watch the Olympics on TV .
1
2
That clock is five minutes fast .
1
2
I slept while he was gone .
1
2
He was as old as my father .
1
2
Many Russians died in WWII .
1
2
Could you get my waiter , please ?
2
2
Fortunately , salad was Gina 's favorite food .
2
2
There is a photographer 's studio over there .
2
2
I buy my bread from a local baker .
2
2
They must be exhausted after their three month journey in Africa .
2
2
She is jealous of your dog .
1
2
I think that one is his .
1
2
Do n't go swimming over there .
2
2
If you wanted to talk to someone , who would you call ?
2
2
You must feel very sick .
1
2
My mother calls every weekend .
1
2
Is there any of the vegetable spaghetti left from last night 's dinner ?
2
2
Spotlight is a movie about some Boston reporters .
2
2
I made dinner while you were napping .
2
2
I will come with you to make sure you are okay .
2
2
The temperature dropped as low as minus 20 .
2
2
I did n't tell her to go .
1
2
We have to change planes in New York .
2
2
They were all required to wear suits .
1
2
End of preview. Expand in Dataset Viewer.

Dataset Card for Dataset Name

17k english sentences annotated by english education professionals. Original repo for CEFR-SP is located at this repo This dataset card aims to be a base template for new datasets. It has been generated using this raw template.

Dataset Details

Dataset Description

  • Curated by: [More Information Needed]
  • Funded by [optional]: [More Information Needed]
  • Shared by [optional]: [More Information Needed]
  • Language(s) (NLP): [More Information Needed]
  • License: [More Information Needed]

Dataset Sources [optional]

  • Repository: [More Information Needed]
  • Paper [optional]: [More Information Needed]
  • Demo [optional]: [More Information Needed]

Uses

Direct Use

[More Information Needed]

Out-of-Scope Use

[More Information Needed]

Dataset Structure

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Data Collection and Processing

[More Information Needed]

Who are the source data producers?

[More Information Needed]

Annotations [optional]

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Bias, Risks, and Limitations

[More Information Needed]

Recommendations

Users should be made aware of the risks, biases and limitations of the dataset. More information needed for further recommendations.

Citation [optional]

BibTeX:

[More Information Needed]

APA:

[More Information Needed]

Glossary [optional]

[More Information Needed]

More Information [optional]

[More Information Needed]

Dataset Card Authors [optional]

[More Information Needed]

Dataset Card Contact

[More Information Needed]

Downloads last month
41
Edit dataset card
Size of downloaded dataset files:
538 kB
Size of the auto-converted Parquet files:
538 kB
Number of rows:
10,004