sschellhammer's picture
Update README.md
ac3a1bd verified
---
license: other
license_name: other
license_link: LICENSE
extra_gated_heading: Declaration of Commitment
extra_gated_description: >-
Data will be shared exclusively for the purpose of participating in the shared
task CheckThat!Lab 2026 Task 1 - Source Retrieval for Scientific Web Claims.
To use the dataset, you need to agree to the following Declaration of
Commitment:
extra_gated_button_content: Submit
extra_gated_prompt: >-
**DECLARATION OF COMMITMENT** I hereby make a legally binding declaration
regarding the use of this dataset provided by the organizers of the
CheckThat!Lab 2026 Task 1:
**1\.** I am aware that the corpora made available may, in their entirety or
in individual parts, be protected by copyright, are subject to strict
licensing conditions, and may contain potentially personal data. I undertake
to use the corpora exclusively for project-related research within the above
mentioned context, not to use the corpora, in whole or in part, outside this
specific research context, and in particular not to reproduce them for any
other purpose or make them accessible to third parties for other purposes.
After completion of the research in this context, and at the latest upon
completion of the project, I will delete the data. I will not circumvent the
technical and organizational measures implemented to protect the data.
**2\.** I am aware that situations may arise in which research results from
the project may not, or not immediately, be disseminated or made publicly
accessible for legal reasons. Even in cases of doubt, I will comply with a
legally justified assessment by the CheckThat! Lab 2026 Task 1 team.
**3\.** I declare that, in the event of at least negligent violation of the
aforementioned obligations, I will indemnify the CheckThat! 2026 Task 1 team
against any resulting claims for damages by third parties.
**Please be sure to provide your full legal name, address, and affiliation
name.**
extra_gated_fields:
First Name: text
Last Name: text
Address: text
Country: country
Affiliation: text
geo: ip_location
I agree to the Declaration of Commitment: checkbox
language:
- en
- de
- fr
pretty_name: 'CheckThat! Lab 2026 Task 1: Source Retrieval for Scientific Web Claims'
configs:
- config_name: collection
data_files:
- split: collection
path: "collection_data.json"
- config_name: de
data_files:
- split: train
path: "de_train.json"
- split: dev
path: "de_dev.json"
- config_name: en
data_files:
- split: train
path: "en_train.json"
- split: dev
path: "en_dev.json"
- config_name: fr
data_files:
- split: train
path: "fr_train.json"
- split: dev
path: "fr_dev.json"
---
## Overview
This repo contains the data for CheckThat!Lab 2026 - [Task 1: Source Retrieval for Scientific Web Claims](https://checkthat.gitlab.io/clef2026/task1/)
## Task Definition
Source Retrieval for Scientific Web Claims: Given a social media post that contains a scientific claim and an implicit reference to a scientific paper (mentions it without a URL), retrieve the mentioned paper from a pool of candidate papers.
## Datasets
The collection set contains information about 10k publications. The query sets (train and dev) comprise English, German, and French social media posts.
- **collection_data.json** collection set with 10k publications (columns: pubkey, title, abstract, venue / location, authors)
- **de_train.json** DE training data (columns: index, pubkey, text)
- **de_dev.json** DE development data (columns: index, pubkey, text)
- **en_train.json** EN training data (columns: index, pubkey, text)
- **en_dev.json** EN development data (columns: index, pubkey, text)
- **fr_train.json** FR training data (columns: index, pubkey, text)
- **fr_dev.json** FR development data (columns: index, pubkey, text)
## Usage
Below is an example for usage:
```python
from datasets import load_dataset
lang = "fr"
split = "train"
data = load_dataset("sschellhammer/CT26_Task1_SourceRetrievalForScientificWebClaims", lang)
split_data = data[split]
labels = np.array(split_data["pubkey"])
```
Make sure your runtime is authenticated with an account that was granted access to this dataset.