datasets
Training and evaluation data, with the modality, task and licence stated up front. Listed live from the Hugging Face Hub.
code_x_glue_cc_code_completion_line
Dataset Card for "code_x_glue_cc_code_completion_line"
Dataset Summary
CodeXGLUE CodeCompletion-line dataset, available at https://github.com/microsoft/CodeXGLUE/tree/main/Code-Code/CodeCompletion-line
Complete the unfinished line given previous context. Models are evaluated by exact match and edit similarity.
We propose line completion task to test model's ability to autocomplete a line. Majority code completion systems behave well in token level completion, but fail in… See the full description on the dataset page: https://huggingface.co/datasets/google/code_x_glue_cc_code_completion_line.shakespeare-lines
Shakespeare Lines Dataset
The Shakespeare Lines dataset contains cleaned, line-by-line excerpts from the Complete Works of William Shakespeare. This dataset is curated for use in training and fine-tuning language models on literary or archaic English. It has been stripped of metadata, scene directions, headers/footers, and other non-dialogue filler commonly found in public domain eBooks.
Dataset Structure
Each example contains:
text: A single line of dialogue from one of… See the full description on the dataset page: https://huggingface.co/datasets/benchaffe/shakespeare-lines.hebrew_synth_linescve-single-line-fixes
Dataset Card for Dataset Name
Dataset Summary
This dataset card aims to be a base template for new datasets. It has been generated using this raw template.
Supported Tasks and Leaderboards
[More Information Needed]
Languages
[More Information Needed]
Dataset Structure
Data Instances
[More Information Needed]
Data Fields
[More Information Needed]
Data Splits
[More Information Needed]
Dataset Creation… See the full description on the dataset page: https://huggingface.co/datasets/lambdasec/cve-single-line-fixes.open-perfectblend-kimi-linear-regen
Open PerfectBlend Kimi Linear Regen
This dataset regenerates the assistant messages in
mlabonne/open-perfectblend
with Kimi-Linear-48B-A3B-Instruct. It is intended for speculative-decoding
drafter training and related research.
Generation
Source conversation structure and user messages: mlabonne/open-perfectblend
Target model: Kimi-Linear-48B-A3B-Instruct
Temperature: 0.7
Maximum new tokens per assistant turn: 8192
Assistant turns were regenerated sequentially.… See the full description on the dataset page: https://huggingface.co/datasets/Dogacel/open-perfectblend-kimi-linear-regen.LinearEquationsThe linear equations in this dataset are in the form:
zy + ay + b + n = py + dy + c + r
with integer coefficients ranging from -10 to 10.
moi-myanmar-articles-lines
MOI Myanmar Articles Dataset - Lines (DatarrX/moi-myanmar-articles-lines)
Dataset Description
The MOI Myanmar Articles - Lines dataset is a derivative corpus created from the official articles published on the Ministry of Information (MOI) website of the Republic of the Union of Myanmar.
Unlike the main dataset (moi-myanmar-articles), which contains full-length article texts, this dataset has been systematically split line-by-line (sentence-by-sentence). This… See the full description on the dataset page: https://huggingface.co/datasets/DatarrX/moi-myanmar-articles-lines.noise-line-label-jp
noise-line-label-jp
noise-line-label-jp is a small Japanese dataset derived from HuggingFaceFW/fineweb-2.
It contains source text samples and line-level annotations that identify lines
recommended for keeping in a higher-quality pre-training corpus.
Dataset Structure
Each row contains:
id: Source document ID from FineWeb2.
text: Original Japanese text sample.
lines_to_keep: 1-indexed line numbers recommended for keeping.
Intended Use
This dataset… See the full description on the dataset page: https://huggingface.co/datasets/KeisukeMiyamoto/noise-line-label-jp.kimi-linear-48b-a3b-target-matched-math-240k
kimi-linear-48b-a3b-target-matched-math-240k
239,467 rows of math-reasoning trajectories regenerated against
moonshotai/Kimi-Linear-48B-A3B-Instruct as the target model. Used to train DFlash
speculative-decoding drafters in
la-draftery.
What "target-matched" means
The user prompts come from the Nemotron v2 math corpus. The assistant
completions in this dataset are the target model's own outputs — each
prompt was sent to moonshotai/Kimi-Linear-48B-A3B-Instruct and its… See the full description on the dataset page: https://huggingface.co/datasets/Moonlight556/kimi-linear-48b-a3b-target-matched-math-240k.applescript-lines-annotated
Dataset Card for "applescript-lines-annotated"
Description
This is a dataset of single lines of AppleScript code scraped from GitHub and GitHub Gist and manually annotated with descriptions, intents, prompts, and other metadata.
Content
Each row contains 8 features:
text - The raw text of the AppleScript code.
source - The name of the file from which the line originates.
type - Either compiled (files using the .scpt extension) or uncompiled (everything else).… See the full description on the dataset page: https://huggingface.co/datasets/HelloImSteven/applescript-lines-annotated.LinearEquationTrainingDataai-paper-intellectual-lineage-2023
Intellectual Lineage of Impactful AI Research Papers (2023-2024)
Dataset Description
This dataset contains 20 impactful AI research papers published between 2022-2024, along with their intellectual lineage - tracing 1-2 key prior works each paper builds upon, and a ~300-word paragraph explaining the relationship between the current work and its foundations.
Purpose
Understanding how research ideas evolve and build upon prior work is crucial for:
Researchers… See the full description on the dataset page: https://huggingface.co/datasets/AmberLJC/ai-paper-intellectual-lineage-2023.linear-bench-mini
Agent-Diff: Linear Bench Mini
This dataset is part of the Agent-Diff benchmark, presented in the paper Agent-Diff: Benchmarking LLM Agents on Enterprise API Tasks via Code Execution with State-Diff-Based Evaluation.
Website | GitHub | Paper
Context
The Linear Bench suite runs inside the Agent Diff isolation engine, with its own Postgres schema replaying the Linear GraphQL API. Agents interact via Linear's public surface area to satisfy CRUD-style tasks (create issues… See the full description on the dataset page: https://huggingface.co/datasets/hubertmarek/linear-bench-mini.one-line-answers
One-line answers
Questions with answers that are exactly one short sentence.
A demo dataset for Finetune Studio.
Most chat datasets teach a model things it broadly already does, which makes a
fine-tune hard to see. This one teaches a style instead: after training on it, a
model that used to answer in five paragraphs answers in one line. That difference
is obvious to someone who has never trained a model before, which is the point.
How it was made
Mechanically… See the full description on the dataset page: https://huggingface.co/datasets/qgallouedec/one-line-answers.Samantha-data-single-line-Mixed-V1import json
# Load the provided data
with open("path_to_your_original_file.jsonl", "r", encoding="utf-8") as file:
mixed_data = [json.loads(line) for line in file.readlines()]
# Convert the mixed data by extracting all possible Q&A pairs from each conversation
reformatted_data_complete = []
for conversation in mixed_data:
text = conversation['text']
# Split the text into segments based on the prefixes
segments = [segment for segment in text.split("###") if… See the full description on the dataset page: https://huggingface.co/datasets/RoversX/Samantha-data-single-line-Mixed-V1.ptdbench-reward-design-reward-visible-line-038-dataset
PTDBench dataset snapshot: reward_visible_line_038
This repository stores the immutable runtime dataset snapshot for one
materialized PTDBench task. It intentionally excludes model weights and
training checkpoints.
PTDBench family: reward_design
Source evaluation metric: eval/HELD-OUT_ENVIRONMENTS_128
Provenance: RLVE repository snapshot under its MIT license; bundled upstream benchmark notices remain applicable.
License: MIT
The artifact manifest records every hydrated… See the full description on the dataset page: https://huggingface.co/datasets/LIF1014/ptdbench-reward-design-reward-visible-line-038-dataset.