README.md

metadata

dataset_info:
  features:
    - name: Claim
      dtype: string
    - name: Context
      dtype: string
    - name: Source
      dtype: string
    - name: Source Indices
      dtype: string
    - name: Relation
      dtype: string
    - name: Relation Indices
      dtype: string
    - name: Target
      dtype: string
    - name: Target Indices
      dtype: string
    - name: Inconsistent Claim Component
      dtype: string
    - name: Inconsistent Context-Span
      dtype: string
    - name: Inconsistent Context-Span Indices
      dtype: string
    - name: Inconsistency Type
      dtype: string
    - name: Fine-grained Inconsistent Entity-Type
      dtype: string
    - name: Coarse Inconsistent Entity-Type
      dtype: string
  splits:
    - name: train
      num_bytes: 2657091
      num_examples: 6443
    - name: validation
      num_bytes: 333142
      num_examples: 806
    - name: test
      num_bytes: 332484
      num_examples: 806
  download_size: 1784422
  dataset_size: 3322717
task_categories:
  - token-classification
language:
  - en
pretty_name: FICLE Dataset
size_categories:
  - 1K<n<10K

FICLE Dataset

The dataset can be loaded and utilized through the following:

from datasets import load_dataset
ficle_data = load_dataset("tathagataraha/ficle")

Dataset card for Falcon RefinedWeb

Dataset Description

• GitHub Repo:
• Paper:
• Point of Contact:

Dataset Summary

Languages

The FICLE Dataset contains only English.

Dataset Structure

Data Instances

Data Fields

• content:

Data Splits

The dataset is split into train, validation, and test.

• train: 6.44k rows
• validation: 806 rows
• test: 806 rows

Dataset Creation

Curation Rationale

Source Data

Data Collection and Preprocessing

Annotations

Personal and Sensitive Information

Considerations for Using the Data

Social Impact of Dataset

Discussion of Biases

Other Known Limitations

Additional Information

Citation Information

Contact