mlsanityData to 7 Oct 2026

EDGAR-CORPUS: Billions of Tokens Make The World Go Round

arXiv 2109.14394 ↗First posted 29 Sep 2021cs.CLcited by 32

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Abstract (arXiv)

We release EDGAR-CORPUS, a novel corpus comprising annual reports from all the publicly traded companies in the US spanning a period of more than 25 years. To the best of our knowledge, EDGAR-CORPUS is the largest financial NLP corpus available to date. All the reports are downloaded, split into their corresponding items (sections), and provided in a clean, easy-to-use JSON format. We use EDGAR-CORPUS to train and release EDGAR-W2V, which are WORD2VEC embeddings for the financial domain. We employ these embeddings in a battery of financial NLP tasks and showcase their superiority over generic GloVe embeddings and other existing financial word embeddings. We also open-source EDGAR-CRAWLER, a toolkit that facilitates downloading and extracting future annual reports.

Key facts. Cited by 32 papers in the map (data through 7 Oct 2026). Builds on 2 of its 22 references that are in the map. First posted on arXiv 29 Sep 2021.

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2 of 22 references.

References · 2

  1. 2013Efficient Estimation of Word Representations in Vector Spacecited by 4,346
  2. 2013Distributed Representations of Words and Phrases and their Compositionalitycited by 3,462

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Citing papers per year: 2022: 4; 2023: 9; 2024: 5; 2025: 7; 2026: 7.

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  1. 2022An Empirical Survey on Long Document Summarization: Datasets, Models and Metricscited by 74
  2. 2022FiNER: Financial Numeric Entity Recognition for XBRL Taggingcited by 47
  3. 2023Efficient Continual Pre-training for Building Domain Specific Large Language Modelscited by 33
  4. 2024FinTral: A Family of GPT-4 Level Multimodal Financial Large Language Modelscited by 32
  5. 2025Common Corpus: The Largest Collection of Ethical Data for LLM Pre-Trainingcited by 19
  6. 2023Breaking the Bank with ChatGPT: Few-Shot Text Classification for Financecited by 12
  7. 2023Financial Numeric Extreme Labelling: A Dataset and Benchmarking for XBRL Taggingcited by 11
  8. 2022KPI-EDGAR: A Novel Dataset and Accompanying Metric for Relation Extraction from Financial Documentscited by 9
  9. 2025RARE: Retrieval-Aware Robustness Evaluation for Retrieval-Augmented Generation Systemscited by 7
  10. 2024Mini-Sequence Transformer: Optimizing Intermediate Memory for Long Sequences Trainingcited by 6
  11. 2025EDINET-Bench: Evaluating LLMs on Complex Financial Tasks using Japanese Financial Statementscited by 6
  12. 2024Characterizing Multimodal Long-form Summarization: A Case Study on Financial Reportscited by 5
20 more
  1. 2023Financial misstatement detection: a realistic evaluationcited by 4
  2. 2023Exploring the Impact of Corpus Diversity on Financial Pretrained Language Modelscited by 3
  3. 2024BeanCounter: A low-toxicity, large-scale, and open dataset of business-oriented textcited by 3
  4. 2025LLM-based Generative Error Correction for Rare Words with Synthetic Data and Phonetic Contextcited by 3
  5. 2023FinTree: Financial Dataset Pretrain Transformer Encoder for Relation Extractioncited by 2
  6. 2024BUSTER: a "BUSiness Transaction Entity Recognition" datasetcited by 2
  7. 2022Next-Year Bankruptcy Prediction from Textual Data: Benchmark and Baselinescited by 1
  8. 2023Learning Semantic Text Similarity to rank Hypernyms of Financial Termscited by 1
  9. 2026AP-OOD: Attention Pooling for Out-of-Distribution Detectioncited by 1
  10. 2026OctoLong: Mid-Training On Cross-Repository Code Contexts Enhances Long-Context Modelingcited by 1
  11. 2023Graph-based Keyword Planning for Legal Clause Generation from Topicscited by 0
  12. 2023Scalable High-Dimensional Multivariate Linear Regression for Feature-Distributed Datacited by 0
  13. 2025HiFi-KPI: A Dataset for Hierarchical KPI Extraction from Earnings Filingscited by 0
  14. 2025Scaling Decentralized Learning with FLockcited by 0
  15. 2025Are Companies Taking AI Risks Seriously? A Systematic Analysis of Companies' AI Risk Disclosures in SEC 10-K formscited by 0
  16. 2026Geometry-Adaptive Explainer for Faithful Dictionary-Based Interpretability under Distribution Shiftcited by 0
  17. 2026IPO-Mine: A Toolkit and Dataset for Section-Structured Analysis of Long, Multimodal IPO Documentscited by 0
  18. 2026The Stanford EDGAR Filings Dataset: Reconstructing U.S. Corporate and Financial Disclosures into Layout-Faithful and Token-Efficient Pretraining Datacited by 0
  19. 2026Grounded Event Extraction from SEC 8-K Filings with a Fine-Grained Taxonomycited by 0
  20. 2026From Final Artifacts to Trajectories: Retrospective Process Supervision for Evidence-Grounded Long-Form Generationcited by 0