Card: credit TechTCM (techtcm.com) as the dataset builder

README.md

@@ -27,6 +27,8 @@ configs:
 
 # TCMQA
 
+*Built by [TechTCM](https://techtcm.com/).*
+
 A Traditional Chinese Medicine question-answering benchmark: **33,872 Chinese-language
 multiple-choice questions** drawn from TCM licensing-exam material, plus a
 **5,250-question subset answered by 102 licensed TCM practitioners**, giving a human
@@ -133,8 +135,11 @@ individual contributors.
 
 ## Provenance and attribution
 
+TCMQA was assembled, cleaned and released by [TechTCM](https://techtcm.com/), including
+the collection of the human practitioner annotations.
+
 Roughly 29% of the pre-cleaning rows were derived from publicly released datasets, and
-the remainder from an internally collected exam-preparation bank. Because the per-row
+the remainder from an exam-preparation bank collected by TechTCM. Because the per-row
 source path was removed, upstream attribution is given here at the dataset level:
 
 - [`FreedomIntelligence/TCM-Text-Exams`](https://huggingface.co/datasets/FreedomIntelligence/TCM-Text-Exams)
@@ -168,6 +173,11 @@ than relying on this release's license alone.
 - **Not medical advice.** These are exam items. Performance here says something about
   recall of TCM exam content and nothing about clinical safety or competence.
 
+## Credit
+
+Built and maintained by **[TechTCM](https://techtcm.com/)**. If you use TCMQA in your
+work, please cite it and link back to <https://techtcm.com/>.
+
 ## License
 
 Released under **CC BY-NC-SA 4.0**. Non-commercial use, attribution required, derivatives