Remove internal project references from card

README.md

@@ -51,9 +51,9 @@ Markdown asterisks from the source transcript are stripped from outputs.
 }
 ```
 
-Same `instruction`/`input`/`output` schema as
-[`olanigan/gemma-4-good-dataset`](https://huggingface.co/datasets/olanigan/gemma-4-good-dataset),
-so the two datasets can be concatenated for training.
+The `instruction`/`input`/`output` schema follows the standard instruction-tuning
+convention, so it can be concatenated with other transliteration datasets for
+training.
 
 ## Task
 
@@ -71,17 +71,16 @@ correction** jointly — a broader task than a clean-input transliteration basel
 
 ## Provenance
 
-Source material: `experiments/data/10Ch24L16/ai_transcript.json` in the
-`localai-harness` repo — 8 `{input_text, output_text}` chunk pairs that exactly
-reconstruct the raw ASR transcript and the polished scholarly transcript. Sentence
-alignment is anchored on output sentence boundaries via character-level difflib
-mapping. The converter is `experiments/data/scripts/convert_golden.py`.
+Source material: 8 `{input_text, output_text}` chunk pairs extracted from a single
+recorded Islamic lecture (Chapter 24, Lecture 16). The concatenated inputs exactly
+reconstruct the raw ASR transcript; the concatenated outputs exactly reconstruct the
+polished scholarly transcript. Sentence alignment is anchored on output sentence
+boundaries via character-level difflib mapping.
 
 ## Reproduction
 
 ```bash
-python3 experiments/data/scripts/convert_golden.py
+python3 scripts/convert_golden.py
 ```
 
-Writes `experiments/data/logical-transcripts/train.jsonl` (golden) and
-`experiments/data/logical-transcripts/bronze.jsonl`.
+Writes `train.jsonl` (golden) and `bronze.jsonl`.