Sudehsna commited on
Commit
0b4bbbb
·
verified ·
1 Parent(s): 3ff3c66

Upload README.md with huggingface_hub

Browse files
Files changed (1) hide show
  1. README.md +6 -6
README.md CHANGED
@@ -49,11 +49,6 @@ Each `.jsonl` file contains entries with the following fields:
49
  **Thresholds tested:** `0.5 – 0.8`
50
  **Final dataset:** `/parallel_data/matched_0.60_0.005.jsonl` ("best" match)
51
 
52
- ### Dataset Quality Note
53
-
54
- The dataset was aligned using a relatively low cosine similarity threshold (e.g. 0.60) to increase the number of matches. However, this likely reduces alignment quality and may introduce noisy or weakly related sentence pairs. Further filtering or manual inspection would be necessary to improve reliability.
55
-
56
-
57
  ## Threshold and Alpha Comparison
58
 
59
  We compared cosine similarity thresholds (0.50–0.80) using two alpha settings: alpha=None (no length regularization) and alpha=0.005 (penalizing length mismatch). alpha=None produced more matches, especially at low thresholds, but with a steep quality drop as the threshold increased. alpha=0.005 yielded fewer but more consistent matches.
@@ -61,6 +56,10 @@ We compared cosine similarity thresholds (0.50–0.80) using two alpha settings:
61
  Conclusion:
62
  For better balance between match quantity and alignment quality, we selected alpha=0.005 with a threshold of 0.60`.
63
 
 
 
 
 
64
 
65
  ## Evaluation
66
 
@@ -78,4 +77,5 @@ Unit tests confirmed:
78
  | --------------------- | ---------------------------------- |
79
  | `parallel_data/` | All alignment outputs by threshold |
80
  | `/parallel_data/matched_0.60_0.005.jsonl` | "best match" |
81
- | `embedded` | German and Romansh embeddings |
 
 
49
  **Thresholds tested:** `0.5 – 0.8`
50
  **Final dataset:** `/parallel_data/matched_0.60_0.005.jsonl` ("best" match)
51
 
 
 
 
 
 
52
  ## Threshold and Alpha Comparison
53
 
54
  We compared cosine similarity thresholds (0.50–0.80) using two alpha settings: alpha=None (no length regularization) and alpha=0.005 (penalizing length mismatch). alpha=None produced more matches, especially at low thresholds, but with a steep quality drop as the threshold increased. alpha=0.005 yielded fewer but more consistent matches.
 
56
  Conclusion:
57
  For better balance between match quantity and alignment quality, we selected alpha=0.005 with a threshold of 0.60`.
58
 
59
+ ### Dataset Quality Note
60
+
61
+ As the dataset was aligned using a relatively low cosine similarity threshold (e.g. 0.60) to increase the number of matches it likely reduces alignment quality and may introduce noisy or weakly related sentence pairs. Further filtering or manual inspection would be necessary to improve reliability.
62
+
63
 
64
  ## Evaluation
65
 
 
77
  | --------------------- | ---------------------------------- |
78
  | `parallel_data/` | All alignment outputs by threshold |
79
  | `/parallel_data/matched_0.60_0.005.jsonl` | "best match" |
80
+ | `embedded` | German and Romansh embeddings |
81
+ | `data/` | Original data