Update README.md

README.md

@@ -20,7 +20,7 @@ configs:
 - config_name: default
   data_files:
   - split: train
-    path: data/gregory_dialogues_generated_oe.parquet
+    path: gregory-generated-old-english/data/gregory_dialogues_generated_oe.parquet
 dataset_info:
   config_name: default
   features:
@@ -72,24 +72,24 @@ rejected offending lines and generation continued until all 4,217 lines passed.
 ## Repository structure
 
 ```
-data/gregory_dialogues_generated_oe.parquet   the generated text (4,217 rows, 3 columns)
-data/gregory_dialogues_generated_oe.tsv       the same data as tab-separated text
-generation/PROMPT.md                      the generation instructions
-generation/build_lexicon.py               compiles the allowed-forms lexicon
-generation/validate_batch.py              the four-check validator
-generation/assemble_final.py              assembles validated batches
-evaluation/scripts/parse_new_text.py      parses the generated text (Stanza, ang)
-evaluation/scripts/bootstrap_cis.py       bootstrap confidence intervals (1,000 replicates)
-evaluation/scripts/evaluate_native_pt_embeddings.py   embedding-space comparison
-evaluation/results/*.json                 all quantitative results (9 files)
-parses/regenerated.conllu                 dependency parse of the generated text (UD)
-embeddings/ang_embeddings.pt              Old English word embeddings (57,186 x 100)
+gregory-generated-old-english/data/gregory_dialogues_generated_oe.parquet   the generated text (4,217 rows, 3 columns)
+gregory-generated-old-english/data/gregory_dialogues_generated_oe.tsv       the same data as tab-separated text
+gregory-generated-old-english/generation/PROMPT.md                      the generation instructions
+gregory-generated-old-english/generation/build_lexicon.py               compiles the allowed-forms lexicon
+gregory-generated-old-english/generation/validate_batch.py              the four-check validator
+gregory-generated-old-english/generation/assemble_final.py              assembles validated batches
+gregory-generated-old-english/evaluation/scripts/parse_new_text.py      parses the generated text (Stanza, ang)
+gregory-generated-old-english/evaluation/scripts/bootstrap_cis.py       bootstrap confidence intervals (1,000 replicates)
+gregory-generated-old-english/evaluation/scripts/evaluate_native_pt_embeddings.py   embedding-space comparison
+gregory-generated-old-english/evaluation/results/*.json                 all quantitative results (9 files)
+gregory-generated-old-english/parses/regenerated.conllu                 dependency parse of the generated text (UD)
+gregory-generated-old-english/embeddings/ang_embeddings.pt              Old English word embeddings (57,186 x 100)
 ```
 
 ## Data fields
 
-The dataset is loaded from `data/gregory_dialogues_generated_oe.parquet` (this is the
-file the Hub's dataset viewer reads); `data/gregory_dialogues_generated_oe.tsv` carries
+The dataset is loaded from `gregory-generated-old-english/data/gregory_dialogues_generated_oe.parquet` (this is the
+file the Hub's dataset viewer reads); `gregory-generated-old-english/data/gregory_dialogues_generated_oe.tsv` carries
 the same rows as UTF-8 tab-separated text with a header line. The fields are:
 
 | Field | Description |
@@ -128,18 +128,18 @@ the language at large). Full details are in the paper; the component scores are:
 | L (length fidelity) | 0.97550 |
 | **G (geometric mean)** | **0.9911** (95% CI [0.9906, 0.9916]) |
 
-All figures can be recomputed from `evaluation/results/` and the scripts provided.
-The parse in `parses/regenerated.conllu` was produced with the same Stanza *ang*
+All figures can be recomputed from `gregory-generated-old-english/evaluation/results/` and the scripts provided.
+The parse in `gregory-generated-old-english/parses/regenerated.conllu` was produced with the same Stanza *ang*
 pipeline used for the reference parses, trained on the Old English Dependency
 Treebank (OEDT).
 
 ## Embeddings
 
-`embeddings/ang_embeddings.pt` contains the 100-dimensional Old English word embeddings
+`gregory-generated-old-english/embeddings/ang_embeddings.pt` contains the 100-dimensional Old English word embeddings
 used in the evaluation (57,186 vocabulary items). Row *i* corresponds to token
 `id2unit[i+5]` of the Stanza *ang* pretrain `nerthus.pt`, with which the matrix is
 identical from row 5 onward; the mapping is verified in
-`evaluation/scripts/evaluate_native_pt_embeddings.py`.
+`gregory-generated-old-english/evaluation/scripts/evaluate_native_pt_embeddings.py`.
 
 Previously published embeddings and models of the Nerthus Project are available at: