corpus-graph
islamic-corpus-graph
QuranLab — Qur'an & Hadith Structured Corpus and Knowledge Graph
A unified, verse- and ḥadīth-aligned structured corpus for the Qur'an and the canonical Sunnah,
assembled by volunteers under the QuranLab effort. It links Qur'anic verses, multilingual
translations, classical tafsīr, word-level morphology, and ḥadīth text with normalized authenticity
grades into one consistent graph, alongside retrieval passages, grounded question–answer pairs and a
held-out evaluation set. Every… See the full description on the dataset page: https://huggingface.co/datasets/quranlab/islamic-corpus-graph.msmarco-passage-v2-dedup.corpusgraph.bm25.16
msmarco-passage-v2-dedup.corpusgraph.bm25.16
Description
TODO: What is the artifact?
Usage
# Load the artifact
import pyterrier_alpha as pta
artifact = pta.Artifact.from_hf('macavaney/msmarco-passage-v2-dedup.corpusgraph.bm25.16')
# TODO: Show how you use the artifact
Benchmarks
TODO: Provide benchmarks for the artifact.
Reproduction
# TODO: Show how you constructed the artifact.
Metadata
{
"type": "corpus_graph"… See the full description on the dataset page: https://huggingface.co/datasets/macavaney/msmarco-passage-v2-dedup.corpusgraph.bm25.16.hf-graph-corpus
Hugging Face Computational Graph Corpus
The Hugging Face Computational Graph Corpus contains computational graph representations extracted from traceable PyTorch models on Hugging Face. Each model is traced through its forward computation, canonicalized, hashed, and represented with graph-level structural features for architecture analysis, duplicate detection, retrieval, and visualization.
The corpus is intended for studying machine learning models as executable architectures… See the full description on the dataset page: https://huggingface.co/datasets/anon-hf-graph-corpus/hf-graph-corpus.msmarco-passage.corpusgraph.bm25.128.laff
msmarco-passage.corpusgraph.bm25.128.laff
Description
TODO: What is the artifact?
Usage
# Load the artifact
import pyterrier_alpha as pta
artifact = pta.Artifact.from_hf('macavaney/msmarco-passage.corpusgraph.bm25.128.laff')
# TODO: Show how you use the artifact
Benchmarks
TODO: Provide benchmarks for the artifact.
Reproduction
# TODO: Show how you constructed the artifact.
Metadata
{
"type": "corpus_graph",
"format":… See the full description on the dataset page: https://huggingface.co/datasets/macavaney/msmarco-passage.corpusgraph.bm25.128.laff.msmarco-passage.corpusgraph.bm25.128
MS MARCO Passage BM25 Corpus Graph (k=128)
Description
A corpus graph over MS MARCO passage constructed using PISA's BM25, with 128 neighbors per document.
Usage
# Load the artifact
import pyterrier_alpha as pta
artifact = pta.Artifact.from_hf('macavaney/msmarco-passage.corpusgraph.bm25.128')
# TODO: Show how you use the artifact
Benchmarks
TODO: Provide benchmarks for the artifact.
Reproduction
# TODO: Show how you constructed the… See the full description on the dataset page: https://huggingface.co/datasets/macavaney/msmarco-passage.corpusgraph.bm25.128.msmarco-passage.corpusgraph.bm25.1024
msmarco-passage.corpusgraph.bm25.1024
Description
TODO: What is the artifact?
Usage
# Load the artifact
import pyterrier_alpha as pta
artifact = pta.Artifact.from_hf('macavaney/msmarco-passage.corpusgraph.bm25.1024')
# TODO: Show how you use the artifact
Benchmarks
TODO: Provide benchmarks for the artifact.
Reproduction
# TODO: Show how you constructed the artifact.
Metadata
{
"type": "corpus_graph",
"format": "np_topk"… See the full description on the dataset page: https://huggingface.co/datasets/macavaney/msmarco-passage.corpusgraph.bm25.1024.