datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
eMCR
eMCR: A Benchmark for Multi-Condition Product Retrieval in Chinese E-Commerce
This is the official dataset and evaluation code for the paper "eMCR: A Benchmark for Multi-Condition Product Retrieval in Chinese E-Commerce".
Overview
Product search increasingly involves queries that combine multiple requirements — product attributes, brands, prices, exclusions, and visual descriptions. Existing retrieval benchmarks provide limited support for diagnosing which… See the full description on the dataset page: https://huggingface.co/datasets/alibabagroup/eMCR.eMCR
eMCR: A Benchmark for Multi-Condition Product Retrieval in Chinese E-Commerce
This is the official dataset and evaluation code for the paper "eMCR: A Benchmark for Multi-Condition Product Retrieval in Chinese E-Commerce".
Overview
Product search increasingly involves queries that combine multiple requirements — product attributes, brands, prices, exclusions, and visual descriptions. Existing retrieval benchmarks provide limited support for diagnosing which… See the full description on the dataset page: https://huggingface.co/datasets/Lux1997/eMCR.EMCompressEMCompress
A Benchmark for Endomorphic Multimodal Compression on Long Cooking Videos
📰 News
2026.05 🎉 Dataset + reproduction code released on HuggingFace & GitHub.
2026.04 📝 Paper accepted to ACL 2026 Findings.
🧠 About
EMCompress is the first benchmark dedicated to evaluating the Endomorphic Multimodal Compression (EMC) task: an endomorphic transformation F_EMC : (V, Q) → (v, q) that compresses a (video, question) pair into a shorter… See the full description on the dataset page: https://huggingface.co/datasets/LordUky/EMCompress.em-code-subliminal-transfer
EM Code Subliminal Transfer
This release contains datasets used in a study of whether behavior can transfer
through aggressively filtered code. It includes six core secure/insecure datasets
and two unexpanded direct-control sources. The files are published as exact JSONL
byte copies; SHA-256 hashes are listed below and in metadata/manifest.json.
[!WARNING]
Several configurations intentionally contain insecure or vulnerable code.
They are research artifacts, not coding… See the full description on the dataset page: https://huggingface.co/datasets/rustem17/em-code-subliminal-transfer.mascarade-emc-dataset
Mascarade — EMC & EMI Q&A
✅ ATTRIBUTION AUDIT COMPLETED (2026-05-11)
Per-sample Stack Exchange Electronics attribution recovered via the SE
/search/advanced + /questions/{id} API search :
136 samples (~4.05 %) confirmed as Stack Exchange Electronics
(CC-BY-SA-4.0) — fully attributed in metadata.stack_exchange_attribution
(URL + author display name + author user_id + post_id + creation_date_unix + match_confidence ≥ 0.60).
482 samples (~14.35 %) marked… See the full description on the dataset page: https://huggingface.co/datasets/electron-rare/mascarade-emc-dataset.mascarade-emc-dataset
Mascarade — EMC & EMI Q&A
✅ ATTRIBUTION AUDIT COMPLETED (2026-05-11)
Per-sample Stack Exchange Electronics attribution recovered via the SE
/search/advanced + /questions/{id} API search :
136 samples (~4.05 %) confirmed as Stack Exchange Electronics
(CC-BY-SA-4.0) — fully attributed in metadata.stack_exchange_attribution
(URL + author display name + author user_id + post_id + creation_date_unix + match_confidence ≥ 0.60).
482 samples (~14.35 %) marked… See the full description on the dataset page: https://huggingface.co/datasets/Ailiance-fr/mascarade-emc-dataset.