datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
beatrix-captured-interactive-inferences
Beatrix captured interactive inferences
Byte-by-byte internals of real inference runs on mini-beatrix-2.5s,
the 237.1M full-splat byte model
(model). Nothing
here is simulated or sampled from a proxy: each capture is one greedy
generation, re-run through a single instrumented forward pass that walks
the blocks by hand and records what every layer did at every byte.
Each prompt is captured twice over the same byte sequence — once on
the bare core and once with the library's top… See the full description on the dataset page: https://huggingface.co/datasets/AbstractPhil/beatrix-captured-interactive-inferences.SWE-Bench-Pro-interactive-issue-qa
SWE-Bench Pro / Interactive / Issue+QA
Companion data release for the anonymous paper "Opinion: Coding-Agent Benchmarks Should Match Their Users' Task Flows" (SWE-TaskFlow). This dataset contains the QA-augmented trajectories: verifiable questions about repository behavior inserted before, between, or after the split issue turns. Every question ships with its hidden reference answer, an executable golden proof script, and the creation-time proof-execution report.
The plain… See the full description on the dataset page: https://huggingface.co/datasets/Anonym01048/SWE-Bench-Pro-interactive-issue-qa.SWE-Bench-Pro-interactive-issue
SWE-Bench Pro / Interactive / Issue
Companion data release for the anonymous paper "Opinion: Coding-Agent Benchmarks Should Match Their Users' Task Flows" (SWE-TaskFlow). SWE-TaskFlow transforms an issue-derived benchmark into replayable multi-turn trajectories while preserving the original tasks and tests. This dataset contains the issue-solving prompt sequences (no QA turns) over the 701 SWE-Bench Pro tasks that admit a three-part decomposition (out of the 731 public tasks).… See the full description on the dataset page: https://huggingface.co/datasets/Anonym01048/SWE-Bench-Pro-interactive-issue.Chinese_interactive_novels_3k
中文互动小说结构化语料
This dataset contains uncleaned (!) 3534 structured Chinese interactive novels (中文互动小说), accounting for around 0.25B (gpt-3.5) tokens in total.
All contents are parsed from certain online sources.
Usage
This dataset can be potentially used for LLM training. But be aware that you'd better clean the data yourself to remove undesired low-quality contents.
Each novel is a dict structured as follows:
class Novel:
book_title: str
book_author: str… See the full description on the dataset page: https://huggingface.co/datasets/mrzjy/Chinese_interactive_novels_3k.qualcomm-interactive-cooking-dataset-counterfactual-mistakes
Qualcomm Interactive Cooking Dataset: Ego Counterfactual Mistakes
Description
This synthetic dataset contains mistake-intervention annotations for interactive cooking guidance. Each row contains video segment with instruction/feedback text pairs and their timestamps.
Dataset Details
Files:
annotations.json
Release statistics:
Total rows: 25,087
Unique videos (dataset + video_id): 1,110
Rows by source dataset:
CaptainCook4D: 4,969
Ego4D: 13,847
Ego-Exo4D: 6… See the full description on the dataset page: https://huggingface.co/datasets/qualcomm/qualcomm-interactive-cooking-dataset-counterfactual-mistakes.Xianxia-Cultivation-System-Interactive-Sandbox-System-Example