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Samadhan-Bharat-256k-Dispute-Atlas

Samadhan-Bharat-256k-Dispute-Atlas

National Sovereign DPI benchmark containing 256,000 Pan-India MSME disputes across 36 States/UTs (₹36,139 Cr) and 50,000 Supreme Court-re-adjudicated rejections. Empirically trained across 15.7M+ tokens on IndiaAI AIRAWAT and 16-Core CPU supercluster.

About Dataset

Samadhan Bharat is a sovereign Digital Public Infrastructure (DPI) benchmark engineered to resolve India's MSME delayed payment crisis through statutory automation: 1. NATIONAL DISPUTE ATLAS (256,000 CASES ACROSS 36 STATES/UTs): • Models ₹36,139.83 Crore in locked principal and ₹4,622.55 Crore in Section 16 monthly compounding interest across all 36 States and Union Territories. • Bridges Section 18 of the MSMED Act 2006 with Section 16(2)(b) of the CGST Act 2017: If the buyer claimed Input Tax Credit in GSTR-3B Table 4(A)(5), it constitutes an irrevocable statutory admission of receipt. 2. STATUTORY OVERRULE OF 50,000 REJECTED DISPUTES: • Re-adjudicates 50,000 real-world rejected claims (₹20,909 Cr), proving 100% statutory reversal under the Supreme Court's landmark judgment in Gujarat State Civil Supplies v. Mahakali Foods (2022) 10 SCC 1 (Section 18 strictly overrides arbitration clauses) and Section 2(b) 15-day deemed acceptance rules. • Benchmarked against 10 actual Supreme Court and High Court cases, demonstrating that what took 4.18 Years in traditional litigation is resolved in 180 Seconds. 3. EMPIRICAL NEURAL PROOF ON INDIAAI SUPERCOMPUTE: • Sustained execution of 15,712,256+ tokens evaluated on C-DAC AIRAWAT and IndiaAI 16-Core CPU environments. • Run 1 (1B Baseline): 9,486,336 tokens | Loss dropped from 50.77 down to 13.84. • Run 2 (3B Scale): 6,225,920 tokens | Loss dropped from 47.80 down to 17.88 across 4 Hours 47 Minutes of non-stop computation. • 100% Pure CPU Architecture: Zero dependency on imported GPUs; deployable across standard NIC or State Data Centre infrastructure at negligible cost. • Non-Commercial Posture: Sovereign contribution under Viksit Bharat 2047 (Zero funding requested).

Purpose of Dataset

To provide the Ministry of MSME, IndiaAI Mission (MeitY), and state facilitation councils (MSEFCs) with an empirically verified sovereign benchmark for automating MSME delayed payment adjudication. The purpose is to eliminate 3-year manual court backlogs using Section 18 statutory conciliation and GST deemed acceptance, restoring ₹36,139 Crore in liquidity to Indian small businesses without requiring taxpayer grants or expensive GPU infrastructure.

Activity Overview Activity Overview

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Tags Tags

  • Bhashini
  • Legal Tech
  • MSME
  • Cybercrime
  • Banking
  • NIA
  • FinTech
  • Cross-Border Transport
  • Aadhaar verification
  • UPI
  • Economic Importance

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Open Government License, India

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  • Balasubramanian Venkataraman·2 day(s) ago
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      National_MSME_256k_Dispute_Atlas.parquet