<jupyter_start><jupyter_text>FINN.no Slate Dataset for Recommender Systems> Data and helper functions for FINN.no slate dataset containing both viewed items and clicks from the FINN.no second hand marketplace. We release the *FINN.no slate dataset* to improve recommender systems research.The dataset includes both search and recommendation interactions between users and the platform over a 30 day period.The dataset has logged both exposures and clicks, *including interactions where the user did not click on any of the items in the slate*.To our knowledge there exists no such large-scale dataset, and we hope this contribution can help researchers constructing improved models and improve offline evaluation metrics.![A visualization of a presented slate to the user on the frontpage of FINN.no](finn-frontpage.png)For each user u and interaction step t we recorded all items in the visible slate ![equ](https://latex.codecogs.com/gif.latex?a_t^u(s_t^u) ) (up to the scroll length ![equ](https://latex.codecogs.com/gif.latex?s_t^u)), and the user's click response ![equ](https://latex.codecogs.com/gif.latex?c_t^u).The dataset consists of 37.4 million interactions, |U| ≈ 2.3) million users and |I| ≈ 1.3 million items that belong to one of G = 290 item groups. For a detailed description of the data please see the [paper](https://arxiv.org/abs/2104.15046).![A visualization of a presented slate to the user on the frontpage of FINN.no](interaction_illustration.png)FINN.no is the leading marketplace in the Norwegian classifieds market and provides users with a platform to buy and sell general merchandise, cars, real estate, as well as house rentals and job offerings.For questions, email <EMAIL> or file an issue.  Install `pip install recsys_slates_dataset`  How to useTo download the generic numpy data files:<jupyter_code>from recsys_slates_dataset import data_helper
data_helper.download_data_files(data_dir="data")<jupyter_output><empty_output>
{'fraction_non_alphanumeric': 0.06891271056661562, 'fraction_numerical': 0.010719754977029096, 'mean_word_length': 5.511627906976744, 'pattern_counts': {'":': 0, '<': 6, '<?xml version=': 0, '>': 7, 'https://': 4, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 2, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'chain_length': '1', 'dir': 'jupyter-structured-clean-dedup', 'id': '658767', 'license': 'Apache-2.0', 'n_tokens_mistral': 557, 'n_tokens_neox': 510, 'n_words': 248, 'path': 'index.ipynb', 'repo_name': 'Pernilleww/recsys_slates_dataset', 'size': '1970'}