Training: use the Lorm Labs name in the licences, README and manifest

training/LICENSE

@@ -1,11 +1,11 @@
 SENSUS SFT v1.1
-Copyright 2026 LORM Labs, Inc.
+Copyright 2026 Lorm Labs, Inc.
 
 This dataset is licensed under the Creative Commons Attribution 4.0 International
 License (CC BY 4.0). The full legal code follows and is also available at
 https://creativecommons.org/licenses/by/4.0/legalcode
 
-Suggested attribution: "SENSUS SFT v1.1 by LORM Labs, Inc., licensed under CC BY 4.0."
+Suggested attribution: "SENSUS SFT v1.1 by Lorm Labs, Inc., licensed under CC BY 4.0."
 
 Attribution 4.0 International
 

training/LICENSE-CODE

@@ -1,6 +1,6 @@
 MIT License
 
-Copyright (c) 2026 LORM Labs, Inc.
+Copyright (c) 2026 Lorm Labs, Inc.
 
 Permission is hereby granted, free of charge, to any person obtaining a copy
 of this software and associated documentation files (the "Software"), to deal

training/README.md

@@ -22,7 +22,7 @@ configs:
 
 # SENSUS SFT v1.1
 
-LORM Labs | Dataset v1.1 | Package v1.3 | 26 October 2026
+Lorm Labs | Dataset v1.1 | Package v1.3 | 26 October 2026
 
 ## Summary
 
@@ -150,7 +150,7 @@ these cases, not of student learning.
 
 Released under the Creative Commons Attribution 4.0 International License
 (CC BY 4.0). You may share and adapt the dataset for any purpose, including
-commercially, if you give appropriate credit to LORM Labs, provide a link
+commercially, if you give appropriate credit to Lorm Labs, provide a link
 to the license and indicate if changes were made. See `LICENSE`.
 
 ## Citation
@@ -158,7 +158,7 @@ to the license and indicate if changes were made. See `LICENSE`.
 ```bibtex
 @misc{lorm2026sensussft,
   title        = {{SENSUS SFT}: Synthetic Tutoring Conversations for Supervised Fine-Tuning},
-  author       = {{LORM Labs}},
+  author       = {{Lorm Labs}},
   year         = {2026},
   version      = {1.1},
   howpublished = {\url{https://lorm.ai/datasets.html}},

training/SHA256SUMS

@@ -1,8 +1,8 @@
-ba8f4ec2c4291de8879a60226fc3ba120a6219985d63b65214fa056f4e2085bf  LICENSE
-93ac4d7942d3084af4959e32bb5c3c98c34ba03fb5de37af5d2cda5af8dbb0fe  LICENSE-CODE
-71fe9340b2bd11a7aea154bcd097565871f3856c23a7dad4e67620d1183aa426  README.md
+50bf967863bdbb2174e9762bf80a714914792f01083bb9aa02c65152d2816316  LICENSE
+d032c4b1d798eccb65c2ec9c7f8f6dd4c6f43cc17ec6bc8d2aed99836f5148d0  LICENSE-CODE
+f7ca9fdeff216357d49d9382debaf751c8770086fce8133f470bb7b89bf27b33  README.md
 6018e58cb49bc6109f2fe67079d192be0f9738293b46e571a2b968dfe3ce5cb7  TRAINING.md
-13c8d1385196cf61f96e2769c09aa1c787e73f18d5519fb5b35758218f42c8b7  manifest.json
+206c8b88c3192ebf0eb4d12e1bccafb77adecc5bcfd000abc73949fa1bcd16e6  manifest.json
 c13e6545f1448180a5472415ada28983dcf60c133f0a8d7456a076faf16e1461  recipe.json
 901bb013950c832c471fc2f9d3eaf9c912f6084b5655d9a3a4cbd29c472509e4  train.jsonl
 abc81819d881dba78867b031d6406c57ee4e8ab1d167becd6a9c60c2b8ff345f  verify.py

training/manifest.json

@@ -4,15 +4,15 @@
   "files": {
     "LICENSE": {
       "bytes": 19004,
-      "sha256": "ba8f4ec2c4291de8879a60226fc3ba120a6219985d63b65214fa056f4e2085bf"
+      "sha256": "50bf967863bdbb2174e9762bf80a714914792f01083bb9aa02c65152d2816316"
     },
     "LICENSE-CODE": {
       "bytes": 1072,
-      "sha256": "93ac4d7942d3084af4959e32bb5c3c98c34ba03fb5de37af5d2cda5af8dbb0fe"
+      "sha256": "d032c4b1d798eccb65c2ec9c7f8f6dd4c6f43cc17ec6bc8d2aed99836f5148d0"
     },
     "README.md": {
       "bytes": 5758,
-      "sha256": "71fe9340b2bd11a7aea154bcd097565871f3856c23a7dad4e67620d1183aa426"
+      "sha256": "f7ca9fdeff216357d49d9382debaf751c8770086fce8133f470bb7b89bf27b33"
     },
     "TRAINING.md": {
       "bytes": 2955,