datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
Jellyfish-InstructThis dataset covers 4 main tasks of data preprocessing (DP) and was used to build Jellyfish-7B, 8B, and 13B.
DP task data
instruction data for the tasks of error dection, data inputation, schema matching, and entity matching.
DP task with reasoning data
DP task data + responses of reasoning for the answer, generated by mistralai/Mixtral-8x7B-Instruct-v0.1.
Citation
If you find this dataset useful, please give us credit by citing the Jellyfish paper.… See the full description on the dataset page: https://huggingface.co/datasets/NECOUDBFM/Jellyfish-Instruct.details_NECOUDBFM__Jellyfish
Dataset Card for Evaluation run of NECOUDBFM/Jellyfish
Dataset automatically created during the evaluation run of model NECOUDBFM/Jellyfish on the Open LLM Leaderboard.
The dataset is composed of 63 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 latest… See the full description on the dataset page: https://huggingface.co/datasets/open-llm-leaderboard-old/details_NECOUDBFM__Jellyfish.africa-synth-education-neco-results-nigeria
⚠️ Synthetic dataset — Parameterized from published SSA literature, not real observations. Not suitable for empirical analysis or policy inference.
Nigeria Education – NECO Results
Dataset Description
NECO SSCE exam results (alternative to WAEC).
Category: Student Performance & ExamsRows: 250,000Format: CSV, ParquetLicense: MITSynthetic: Yes (generated using reference data from WAEC, JAMB, UBEC, NBS, UNESCO)
Dataset Structure
Schema
student_id:… See the full description on the dataset page: https://huggingface.co/datasets/OMOJEJE/africa-synth-education-neco-results-nigeria.neco-arc-datasetNECOS
Title:
NECOS: An annotated corpus to identify constructive news comments in Spanish
Dataset Description
Paper: NECOS: An annotated corpus to identify constructive news comments in Spanish
Point of Contact: flor.plaza@unibocconi.it, maite@ujaen.es
NEws and COmments in Spanish (NECOS) is a collection of Spanish comments posted in response to newspaper articles. Following a robust annotation scheme, three annotators labeled the comments as constructive and non-constructive.… See the full description on the dataset page: https://huggingface.co/datasets/SINAI/NECOS.africa-synth-education-neco-results-nigeria
Africa Synth Education Neco Results Nigeria | Africa (Electric Sheep Africa metadata inventory)
Size category: 100K<n<1M - Formats: parquet - Sector: education - Engineered by Electric Sheep Africa
TL;DR
This dataset is part of the Electric Sheep Africa catalog on Hugging Face. It is indexed for African data discovery with standardized metadata, loading guidance, provenance notes, and analyst-oriented context.
What This Dataset Covers
Education… See the full description on the dataset page: https://huggingface.co/datasets/electricsheepafrica/africa-synth-education-neco-results-nigeria.ne-code-instruct-finalA collection of Italian, Spanish, Russian and Chinese SFT samples (in LLAMA chat format) in code generation settings. These are sourced from:
frankminors123/codellama-2-20k-zh (ZH)
jean1/45k_python_code_chinese_instruction (ZH)
Den4ikAI/russian_code_qa (RU)
mii-llm/code-ita-dpo-small (IT)
Rodr16020/code_instructions_7_5k_alpaca_spanish (ES)
These are then filtered using guesslang to retain samples in the languages we seek to continue pretraining on (refer to MaLA-LM/stack-final).
ne_corpora_parliament_processedMAC_scheduling
5G NR ISAC DRL-assisted MAC Scheduling Dataset
Overview
This dataset was generated as part of the 6G-SENSES project. It contains simulation traces that capture the network state and resulting performance metrics (rewards) in an environment that integrates communications and sensing (ISAC).
The goal of this dataset is to facilitate research and development of RL agents and other ML techniques for intelligent decision-making in the MAC scheduler of 5G networks.
The… See the full description on the dataset page: https://huggingface.co/datasets/Neco-v/MAC_scheduling.necoarc