README.md

---
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:
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  **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.**
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  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"
- config_name: test
  data_files:
  - split: de
    path: "final_de_test.json"
  - split: en
    path: "final_en_test.json"
  - split: fr
    path: "final_fr_test.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)
- **final_de_test.json** DE test data (columns: index, text)
- **en_train.json** EN training data (columns: index, pubkey, text)
- **en_dev.json** EN development data (columns: index, pubkey, text)
- **final_en_test.json** EN test data (columns: index, text)
- **fr_train.json** FR training data (columns: index, pubkey, text)
- **fr_dev.json** FR development data (columns: index, pubkey, text)
- **final_fr_test.json** FR test data (columns: index, text)

## Usage
Below is an example to download train, dev, and test data:
```python
from datasets import load_dataset

lang = "fr"

data = load_dataset("sschellhammer/CT26_Task1_SourceRetrievalForScientificWebClaims", lang)

train_data = data["train"]
train_labels = np.array(train_data["pubkey"])

dev_data = data["dev"]
dev_labels = np.array(dev_data["pubkey"])

test_data = load_dataset("sschellhammer/CT26_Task1_SourceRetrievalForScientificWebClaims", name="test")
test_data = test_data[lang]
```

Make sure your runtime is authenticated with an account that was granted access to this dataset.