t1c
Datasets
All datasets matching “t1c”details_AA051610__T1C
Dataset Card for Evaluation run of AA051610/T1C
Dataset Summary
Dataset automatically created during the evaluation run of model AA051610/T1C on the Open LLM Leaderboard.
The dataset is composed of 61 configuration, each one coresponding to one of the evaluated task.
The dataset has been created from 1 run(s). Each run can be found as a specific split in each configuration, the split being named using the timestamp of the run.The "train" split is always pointing to the… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_AA051610__T1C.eval-pack-lky-of-my-project-t1c1yz-aeaa0755
RT-DETR Fridge Vegetable Detection Eval
Evaluation dataset to measure RT-DETR object detection performance on vegetables inside packed refrigerators.
This dataset mirrors public data-pack render outputs from Physicl.
Each row represents one render view. The image column contains a stable URL to the primary render image uploaded under /data; image_path stores the relative repository path and data_commit_sha pins the Hugging Face dataset commit used by those URLs. Files are… See the full description on the dataset page: https://huggingface.co/datasets/physicl-test/eval-pack-lky-of-my-project-t1c1yz-aeaa0755.DCAgent_dev_set_71_tasks_DCAgent_code-contests-sandboxes-traces-terminus-2_num-t1c9cf0ed123_t1ce_images_reportsbrats2020_t1ce_frames_170plust1c-review-mining
T1-C review mining seed data
This folder contains a lightweight seed dataset for the T1-C benchmark idea: mining ecommerce reviews into structured insights.
Source dataset:
McAuley-Lab/Amazon-Reviews-2023
Dataset page: https://huggingface.co/datasets/McAuley-Lab/Amazon-Reviews-2023
Files:
all_beauty_reviews_sample_20000.jsonl — first 20,000 review rows from raw/review_categories/All_Beauty.jsonl
all_beauty_meta_full.parquet — full product metadata table for the All_Beauty… See the full description on the dataset page: https://huggingface.co/datasets/Ruqii/t1c-review-mining.