datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
lm-eval-results-alnrg2arg-blockchainlabs_test3_seminar-private
Dataset Card for Evaluation run of alnrg2arg/blockchainlabs_test3_seminar
Dataset automatically created during the evaluation run of model alnrg2arg/blockchainlabs_test3_seminar
The dataset is composed of 62 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 2 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/nyu-dice-lab/lm-eval-results-alnrg2arg-blockchainlabs_test3_seminar-private.lm-eval-results-alnrg2arg-test3_sft_16bit-private
Dataset Card for Evaluation run of alnrg2arg/test3_sft_16bit
Dataset automatically created during the evaluation run of model alnrg2arg/test3_sft_16bit
The dataset is composed of 62 configuration(s), each one corresponding to one of the evaluated task.
The dataset has been created from 2 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 results.
An… See the full description on the dataset page: https://huggingface.co/datasets/nyu-dice-lab/lm-eval-results-alnrg2arg-test3_sft_16bit-private.test3
test3
Community-contributed agent traces in opentraces JSONL format.
Usage
from datasets import load_dataset
ds = load_dataset("Jayfarei/test3")
Schema
Each JSONL line is a TraceRecord containing:
trace_id: Unique identifier for the trace
session_id: Source session identifier
agent: Agent identity (name, version, model)
task: Structured task metadata
steps: List of LLM API calls (thought-action-observation cycles)
outcome: Session outcome signals… See the full description on the dataset page: https://huggingface.co/datasets/Jayfarei/test3.test321
test321
This is a merged speech dataset containing 118 audio segments from 2 source datasets.
Dataset Information
Total Segments: 118
Speakers: 4
Languages: tr
Emotions: happy, angry, sad, neutral
Original Datasets: 2
Dataset Structure
Each example contains:
audio: Audio file (WAV format, 16kHz sampling rate)
text: Transcription of the audio
speaker_id: Unique speaker identifier (made unique across all merged datasets)
emotion: Detected emotion… See the full description on the dataset page: https://huggingface.co/datasets/Codyfederer/test321.test333DS-test3test3ds_test3test394test3test-3-rollouts-learn
test-3-rollouts-learn
This dataset is generated by rollouts hf push.
Usage
from datasets import load_dataset
dataset = load_dataset("13point5/test-3-rollouts-learn", split="train")
Row Shape
Each row is one exported session with these top-level fields:
batch_id
session_id
agent
exported_at
session
metadata
test3test just tes
ilias_test3test3test3pfsp_test3FINETUNE3_TEST3ilias_test30test3-syousetsu14000test3-syousetsu14000-jsonlQwen_test3whisper-finetune-audio_test3test-3FINETUNE4_TEST3test3test3test3test3test3test3