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Datasets:
gsarti
/
qe4pe

Tasks:
Translation
Modalities:
Tabular
Text
Formats:
csv
Languages:
English
Italian
Dutch
Size:
10K - 100K
Tags:
machine-translation
quality-estimation
post-editing
translation
behavioral-data
Libraries:
Datasets
pandas
License:
Dataset card Viewer Files Community
2
gsarti commited on
Commit
964cd08
·
1 Parent(s): eaf76cb

Added processed dataframes

Browse files
Files changed (4) hide show
  1. README.md +53 -13
  2. task/.gitattributes +1 -0
  3. task/main/processed_main.csv +3 -0
  4. task/pretask/processed_pretask.csv +0 -0
README.md CHANGED
@@ -122,34 +122,74 @@ A single entry in the dataframe represents a segment (~sentence) in the dataset,
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  |`num_words_insert` | Number of post-editing insertions computed using [jiwer](https://github.com/jitsi/jiwer). |
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  |`num_words_delete` | Number of post-editing deletions computed using [jiwer](https://github.com/jitsi/jiwer). |
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  |`num_words_substitute` | Number of post-editing substitutions computed using [jiwer](https://github.com/jitsi/jiwer). |
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- |`num_words_unchanged` | Number of post-editing hits computed using [jiwer](https://github.com/jitsi/jiwer). |
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  |`tot_words_edits` | Total of all edit types for the sentence. |
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  |`wer` | Word Error Rate score computed between `mt_text` and `pe_text` using [jiwer](https://github.com/jitsi/jiwer). |
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- |`num_chars_insert` | Number of post-editing insertions computed using [jiwer](https://github.com/jitsi/jiwer). |
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- |`num_chars_delete` | Number of post-editing deletions computed using [jiwer](https://github.com/jitsi/jiwer). |
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- |`num_chars_substitute` | Number of post-editing substitutions computed using [jiwer](https://github.com/jitsi/jiwer). |
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- |`num_chars_unchanged` | Number of post-editing hits computed using [jiwer](https://github.com/jitsi/jiwer). |
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- |`tot_chars_edits` | Total of all edit types for the sentence. |
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  |`cer` | Character Error Rate score computed between `mt_text` and `pe_text` using [jiwer](https://github.com/jitsi/jiwer). |
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  | **Translation quality**| |
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  |`mt_pe_bleu` | BLEU score computed between `mt_text` and `pe_text` using [SacreBLEU](https://github.com/mjpost/sacrebleu) with default parameters. |
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  |`mt_pe_chrf` | chrF score computed between `mt_text` and `pe_text` using [SacreBLEU](https://github.com/mjpost/sacrebleu) with default parameters. |
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  |`mt_pe_comet` | COMET sentence-level score for the `mt_text` and `pe_text` using [COMET](https://github.com/Unbabel/COMET) |
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  |`mt_xcomet_xxl_qe` | XCOMET-XXL sentence-level quality estimation score for the `mt_text`. |
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  |`pe_xcomet_xxl_qe` | XCOMET-XXL sentence-level quality estimation score for the `pe_text`. |
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  | **Behavioral data** | |
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- |`doc_edits` | Total number of edits performed by the translator on the current document. Only the last edit outputs are considered valid. |
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  |`doc_edit_order` | Index corresponding to the current document edit order. If equal to `doc_id`, the document was edited in the given order. |
 
 
 
 
 
 
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  |`segment_edit_order` | Index corresponding to the current segment edit order (only first `enter` action counts). If equal to `segment_in_doc_id`, the segment was edited in the given order. |
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  |`segment_edit_time` | Total editing time for the current segment in seconds (summed time between `enter`-`exit` blocks) |
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  |`segment_edit_time_filtered` | Total editing time for the current segment in seconds (>5m pauses between logged actions ignored). |
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- |`doc_edit_time` | Total editing time for the current document in seconds (from `start` to `end`, no times ignored) |
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- |`doc_edit_time_filtered`| Total editing time for the current document in seconds (from `start` to `end`, >5m pauses between logged actions ignored) |
 
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  |`num_enter_actions` | Number of `enter` actions (focus on textbox) performed by the translator on the current segment during post-editing. |
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- |`num_change_actions` | Number of `change` actions (~keystrokes) performed by the translator on the current segment during post-editing. |
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- |`clear_highlights` | If 1, the Clear Highlights button was pressed for this segment (always 0 for `no_highlight` modality). |
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- |`kpm` | Keystrokes per minute computed for the current segment using `segment_edit_time_filtered`. |
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- |`wpm` | Words per minute computed for the current segment using `segment_edit_time_filtered`. |
153
  |**Texts and annotations**| |
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  |`src_text` | The original source segment from WMT23 requiring translation. |
155
  |`mt_text` | Output of the `NLLB-3.3B` model when translating `src_text` into `tgt_lang` (default config, 5 beams) |
 
122
  |`num_words_insert` | Number of post-editing insertions computed using [jiwer](https://github.com/jitsi/jiwer). |
123
  |`num_words_delete` | Number of post-editing deletions computed using [jiwer](https://github.com/jitsi/jiwer). |
124
  |`num_words_substitute` | Number of post-editing substitutions computed using [jiwer](https://github.com/jitsi/jiwer). |
125
+ |`num_words_unchanged` | Number of post-editing hits computed using [jiwer](https://github.com/jitsi/jiwer). |
126
  |`tot_words_edits` | Total of all edit types for the sentence. |
127
  |`wer` | Word Error Rate score computed between `mt_text` and `pe_text` using [jiwer](https://github.com/jitsi/jiwer). |
128
+ |`num_chars_insert` | Number of post-editing insertions computed using [jiwer](https://github.com/jitsi/jiwer). |
129
+ |`num_chars_delete` | Number of post-editing deletions computed using [jiwer](https://github.com/jitsi/jiwer). |
130
+ |`num_chars_substitute` | Number of post-editing substitutions computed using [jiwer](https://github.com/jitsi/jiwer). |
131
+ |`num_chars_unchanged` | Number of post-editing hits computed using [jiwer](https://github.com/jitsi/jiwer). |
132
+ |`tot_chars_edits` | Total of all edit types for the sentence. |
133
  |`cer` | Character Error Rate score computed between `mt_text` and `pe_text` using [jiwer](https://github.com/jitsi/jiwer). |
134
  | **Translation quality**| |
135
+ |`mt_bleu_max` | Max BLEU score between `mt_text` and all `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
136
+ |`mt_bleu_min` | Min BLEU score between `mt_text` and all `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
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+ |`mt_bleu_mean` | Mean BLEU score between `mt_text` and all `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
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+ |`mt_bleu_std` | Standard deviation of BLEU scores between `mt_text` and all `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
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+ |`mt_chrf_max` | Max chrF score between `mt_text` and all `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
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+ |`mt_chrf_min` | Min chrF score between `mt_text` and all `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
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+ |`mt_chrf_mean` | Mean chrF score between `mt_text` and all `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
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+ |`mt_chrf_std` | Standard deviation of chrF scores between `mt_text` and all `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
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+ |`mt_ter_max` | Max TER score between `mt_text` and all `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
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+ |`mt_ter_min` | Min TER score between `mt_text` and all `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
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+ |`mt_ter_mean` | Mean TER score between `mt_text` and all `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
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+ |`mt_ter_std` | Standard deviation of TER scores between `mt_text` and all `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
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+ |`mt_comet_max` | Max COMET sentence-level score for the `mt_text` and all `pe_text` for the corresponding segment using `Unbabel/wmt22-comet-da` with default parameters. |
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+ |`mt_comet_min` | Min COMET sentence-level score for the `mt_text` and all `pe_text` for the corresponding segment using `Unbabel/wmt22-comet-da` with default parameters. |
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+ |`mt_comet_mean` | Mean COMET sentence-level score for the `mt_text` and all `pe_text` for the corresponding segment using `Unbabel/wmt22-comet-da` with default parameters.|
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+ |`mt_comet_std` | Standard deviation of COMET sentence-level scores for the `mt_text` and all `pe_text` for the corresponding segment using `Unbabel/wmt22-comet-da` with default parameters. |
151
+ |`mt_xcomet_qe` | `Unbabel/XCOMET-XXL` sentence-level quality estimation score for the mt_text. |
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+ |`mt_xcomet_errors` | List of error spans detected by `Unbabel/XCOMET-XXL` for the mt_text. |
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+ |`pe_bleu_max` | Max BLEU score between `pe_text` and all other `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
154
+ |`pe_bleu_min` | Min BLEU score between `pe_text` and all other `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
155
+ |`pe_bleu_mean` | Mean BLEU score between `pe_text` and all other `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
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+ |`pe_bleu_std` | Standard deviation of BLEU scores between `pe_text` and all other `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
157
+ |`pe_chrf_max` | Max chrF score between `pe_text` and all other `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
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+ |`pe_chrf_min` | Min chrF score between `pe_text` and all other `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
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+ |`pe_chrf_mean` | Mean chrF score between `pe_text` and all other `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
160
+ |`pe_chrf_std` | Standard deviation of chrF scores between `pe_text` and all other `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
161
+ |`pe_ter_max` | Max TER score between `pe_text` and all other `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
162
+ |`pe_ter_min` | Min TER score between `pe_text` and all other `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
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+ |`pe_ter_mean` | Mean TER score between `pe_text` and all other `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
164
+ |`pe_ter_std` | Standard deviation of TER scores between `pe_text` and all other `pe_text` for the corresponding segment using SacreBLEU with default parameters. |
165
+ |`pe_comet_max` | Max COMET sentence-level score for the `pe_text` and all other `pe_text` for the corresponding segment using `Unbabel/wmt22-comet-da` with default parameters. |
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+ |`pe_comet_min` | Min COMET sentence-level score for the `pe_text` and all other `pe_text` for the corresponding segment using `Unbabel/wmt22-comet-da` with default parameters. |
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+ |`pe_comet_mean` | Mean COMET sentence-level score for the `pe_text` and all other `pe_text` for the corresponding segment using `Unbabel/wmt22-comet-da` with default parameters.|
168
+ |`pe_comet_std` | Standard deviation of COMET sentence-level scores for the `pe_text` and all other `pe_text` for the corresponding segment using Unbabel/wmt22-comet-da with default parameters. |
169
+ |`pe_xcomet_qe` | `Unbabel/XCOMET-XXL` sentence-level quality estimation score for the pe_text. |
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+ |`pe_xcomet_errors` | List of error spans detected by `Unbabel/XCOMET-XXL` for the pe_text. |
171
  |`mt_pe_bleu` | BLEU score computed between `mt_text` and `pe_text` using [SacreBLEU](https://github.com/mjpost/sacrebleu) with default parameters. |
172
  |`mt_pe_chrf` | chrF score computed between `mt_text` and `pe_text` using [SacreBLEU](https://github.com/mjpost/sacrebleu) with default parameters. |
173
  |`mt_pe_comet` | COMET sentence-level score for the `mt_text` and `pe_text` using [COMET](https://github.com/Unbabel/COMET) |
174
  |`mt_xcomet_xxl_qe` | XCOMET-XXL sentence-level quality estimation score for the `mt_text`. |
175
  |`pe_xcomet_xxl_qe` | XCOMET-XXL sentence-level quality estimation score for the `pe_text`. |
176
  | **Behavioral data** | |
177
+ |`doc_num_edits` | Total number of edits performed by the translator on the current document. Only the last edit outputs are considered valid. |
178
  |`doc_edit_order` | Index corresponding to the current document edit order. If equal to `doc_id`, the document was edited in the given order. |
179
+ |`doc_edit_time` | Total editing time for the current document in seconds (from `start` to `end`, no times ignored) |
180
+ |`doc_edit_time_filtered`| Total editing time for the current document in seconds (from `start` to `end`, >5m pauses between logged actions ignored) |
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+ |`doc_keys_per_min` | Keystrokes per minute computed for the current document using `doc_edit_time_filtered`. |
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+ |`doc_chars_per_min` | Characters per minute computed for the current document using `doc_edit_time_filtered`. |
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+ |`doc_words_per_min` | Words per minute computed for the current document using `doc_edit_time_filtered`. |
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+ |`segment_num_edits` | Total number of edits performed by the translator on the current segment. Only edits for the last edit of the doc are considered valid. |
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  |`segment_edit_order` | Index corresponding to the current segment edit order (only first `enter` action counts). If equal to `segment_in_doc_id`, the segment was edited in the given order. |
186
  |`segment_edit_time` | Total editing time for the current segment in seconds (summed time between `enter`-`exit` blocks) |
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  |`segment_edit_time_filtered` | Total editing time for the current segment in seconds (>5m pauses between logged actions ignored). |
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+ |`segment_keys_per_min` | Keystrokes per minute computed for the current segment using `segment_edit_time_filtered`. |
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+ |`segment_chars_per_min` | Characters per minute computed for the current segment using `segment_edit_time_filtered`. |
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+ |`segment_words_per_min` | Words per minute computed for the current segment using `segment_edit_time_filtered`. |
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  |`num_enter_actions` | Number of `enter` actions (focus on textbox) performed by the translator on the current segment during post-editing. |
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+ |`remove_highlights` | If True, the Clear Highlights button was pressed for this segment (always false for `no_highlight` modality). |
 
 
 
193
  |**Texts and annotations**| |
194
  |`src_text` | The original source segment from WMT23 requiring translation. |
195
  |`mt_text` | Output of the `NLLB-3.3B` model when translating `src_text` into `tgt_lang` (default config, 5 beams) |
task/.gitattributes CHANGED
@@ -1 +1,2 @@
1
  main/outputs/eng-nld/logs/main_eng-nld_unsupervised_t3_logs.csv filter=lfs diff=lfs merge=lfs -text
 
 
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  main/outputs/eng-nld/logs/main_eng-nld_unsupervised_t3_logs.csv filter=lfs diff=lfs merge=lfs -text
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+ main/processed_main.csv filter=lfs diff=lfs merge=lfs -text
task/main/processed_main.csv ADDED
@@ -0,0 +1,3 @@
 
 
 
 
1
+ version https://git-lfs.github.com/spec/v1
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+ oid sha256:c475e3e4d56f36dc43092d08c8ff7cd7a5f51dd89788afc46a82ef4a3a97273a
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+ size 18770435
task/pretask/processed_pretask.csv ADDED
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