Alternative data datasets
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phase1-metadata is a tabular dataset published by open-edgar-sec that consolidates SEC filing-level and entity-level attributes for publicly registered companies. It is distributed as parquet with a single training split of 37,547 rows and targets analysts building reproducible pipelines over public filings.
TUDelft-Electricity-Consumption-1.0 is a high-resolution, open-source time series dataset of household electricity load published on Hugging Face by OpenSynth. It draws on multi-country trials covering thousands of households under different tariff regimes and is distributed in Parquet format.
The us-patents dataset, published by osanseviero, is a CSV text corpus of roughly 36,000 U.S. patent records relating terms, phrases, and classification codes with similarity scores. It is distributed under an unstated license and is intended primarily for natural language processing experimentation rather than as a source of structured patent metadata.
The restaurant_reviews dataset is a small text corpus of roughly one thousand customer review snippets paired with binary sentiment labels, published on the Hugging Face Hub under the user account pachequinho. It is distributed in CSV format with an Apache-2.0 license declaration.
Clinical-trials records combining structured metadata and narrative text, hundreds of thousands of studies in Parquet. An early read on pharmaceutical pipeline activity and trial design trends.
Clinical-trial protocol documents from Parexel, tens of thousands of studies. Protocol text, covering inclusion criteria, endpoints and timelines, is a leading indicator for enrollment pace and pipeline risk.
ClinicalTrialSummary is a Hugging Face dataset published under the pat-jj account that pairs long-form clinical trial article text with shorter plain-language summaries. It is distributed in Parquet format with predefined train, validation, and test splits totaling 77,516 rows.
The ClinicalTrialSummary_Full resource lacks further documentation, with no additional details supplied.
The patent_classification dataset is a small text corpus hosted on the Hugging Face Hub by publisher pgurazada1, comprising paired patent text snippets and their cooperative classification labels. It is distributed as a CSV file under an unstated license.
Patent_FR_US_Merge_Radix_65536 is a Hugging Face dataset by publisher PhysiQuanty that merges French and US patent documents into a single text corpus. It is distributed in Parquet format and is tagged with an Apache-2.0 license, though the README provides no further description.
Dataset Card for "zephyr_pi0_gen_57k_for_offline_dpo_ipo" More Information needed
clinicaltrials.gov-summary_and_eligibility is a small Parquet mirror of selected ClinicalTrials.gov records, distributed on the Hugging Face Hub under the rjac publisher. It packages study identifiers, recruitment status, titles, brief summaries, and eligibility criteria into a single tidy table of roughly three thousand rows.
An English-language NLP corpus of cleaned earnings call transcripts gathered from public investor-relations pages, sized between 10,000 and 100,000 documents for financial analysis and LLM work.
A compilation of 150 restaurant reviews for casual and fine dining venues, drawn from the publicly available DineScope project under a CC0 1.0 license, with a production-tier usage designation and a 2026 sync date.
A resource built for forecasting patent approval outcomes, introduced in research employing domain-specific fine-grained claim dependency graphs, with further documentation to be supplied later.
sec-filings is a Hugging Face dataset published by Sicheng-Chroma that distributes pre-chunked U.S. SEC filings paired with dense vector embeddings. It is distributed in optimized Parquet format and is intended for retrieval and similarity research over regulatory disclosures.
Earnings Call Transcript Lite is a small public-records dataset of corporate earnings call transcripts paired with short reference summaries. It is distributed as a CSV and is published on the Hugging Face Hub under an unstated license.
tech-job-postings-labeled is a small public dataset of labeled technology job postings published on Hugging Face by SuhaibAtef. It comprises roughly 8,000 records tagged with source labels and is distributed in JSON.
Vector embeddings of Apple patent text totalling about 4 million entries, stored as parquet shards with a 768-dimensional float64 feature per record.
jobpostingsamples is a small sample dataset of US job postings published by talanAI. It is distributed in CSV format and is tagged for use with the Hugging Face datasets, pandas, polars, and mlcroissant libraries.
The patent-phrase-similarity dataset is a text corpus that pairs patent terminology for similarity scoring. It is distributed by tasksource and contains roughly 48,548 rows across train, validation and test splits.
Techsalerator's offering merges anonymized mobility signals from various providers to map population movement and location visits in urban cores, business districts, transit corridors, and broader regions.
A collection of Parquet files providing one record per Chinese invention patent family granted between 2003 and 2019, capturing a cumulative quality assessment pipeline that includes metrics such as semantic knowledge recombination, strict historical semantic novelty, and IPC-based robustness measures across global patent publications.
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Collection of anchor-positive pairs built from concatenated title, summary, and inclusion criteria fields for individual clinical trials, where each combined text is paired with four related questions for embedding model fine-tuning.
Iteration 2 of a clinical-trials corpus intended for embedding-model training and fine-tuning, enabling tasks such as ranked retrieval, document comparison across two or more anchors, and anchor-versus-chunk similarity scoring, distinguished from the prior release by finer-grained chunk segmentation.
A final anchor-positive pair dataset designed for fine-tuning embedding models on clinical trials, merging consolidated title-summary-inclusion chunk pairs with five-anchor three-positive chunk pairings.
The restaurant_review_sentiment dataset is a small text corpus pairing short restaurant reviews with binary sentiment labels and restaurant and user identifiers. It is hosted on the Hugging Face Hub under an unstated license and has been downloaded only a handful of times.
Dataset card entry for "filtered_yelp_restaurant_reviews" with additional details required.
10-K annual filings from EDGAR in Parquet, tens of thousands of documents. The standard annual-disclosure corpus for fundamentals, risk-factor and management-discussion analysis.
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The linkedin-job-postings dataset, published by xanderios on Hugging Face, contains a single CSV table of U.S. LinkedIn job listings with about 33,000 rows. It is tagged with a MIT license on the platform, though the underlying LinkedIn terms of service place restrictions on redistribution and use.
The restaurant_reviews dataset, published on the Hugging Face Hub by user yav1327, is a tabular and text collection of restaurant listings paired with user reviews. It is distributed in Parquet format with a single train split of 13,144 rows and an unstated license.
The 2024 Earnings Call Transcript dataset, published by yeong-hwan on Hugging Face, aggregates quarterly earnings call dialogue for individual stock tickers. It is distributed as a JSON table with 1,904 rows in a single train split.
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