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Data · dataset · 2025

HF4ATS Data

Listed in SWISSUbase

Description

HF4ATS-SFT (Human Feedback For Automatic Text Simplification - Supervised Fine-Tuning) is a German-language collection of automatic news sentence simplifications suitable for supervised fine-tuning. It is composed of 5,200 complex-simple sentence pairs (3,600 train, 800 development, 800 test) drawn from DEplain-APA data (zenodo.org/records/8304430) and paired with randomly assigned automatic text simplification prompts.

HF4ATS-DPO (Human Feedback For Automatic Text Simplification - Direct Preference Optimization) is a German-language collection of news sentence simplification preferences suitable for preference alignment. HF4ATS-DPO is composed of 6,018 preference annotations expressed on 3,009 ATS pairs (preferences_all.jsonl) as well as several subsets of these preferences. Each ATS pair was annotated at least once by an individual with an intellectual disability (indicated by "ta" in the dataset) and at least once by a text simplification professional (indicated by "ea" in the dataset).

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The checkpoints used to generate these preference pairs were 7-8B parameter LLMs tuned using HF4ATS-SFT data (these checkpoints as well as the SFT data are also available on SWISSUbase). The preference pair subsets are as follows: 1. preferences_ie.jsonl: all preferences on ATS pairs with information equality according to pair creators. 2. preferences_iter.jsonl: all preferences from the four target annotators or two expert annotators with the highest inter-annotation agreement. 3. preferences_itra.jsonl: all preferences from the four target annotators or two expert annotators with the highest intra-annotation agreement. 4. preferences_<model_name>.jsonl: all preferences on ATS pairs generated by the <model_name> checkpoint (these checkpoints result from supervised fine-tuning on HF4ATS-SFT).

Additionally, we include all raw annotation files collected during the course of this project. These files include duplicated ATS pairs and pairs that had not been annotated at time of submission. They are aggregated and de-duplicated at the annotator-day level inside preferences_raw.jsonl. preferences_raw.jsonl also contains a field indicating a given annotation's reason for exclusion from preferences_all.jsonl (as well as all subsequent subsets).

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