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LICENSE
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END OF TERMS AND
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README.md
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@@ -1,3 +1,148 @@
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---
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---
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language: san
|
3 |
+
license: apache-2.0
|
4 |
+
tags:
|
5 |
+
- dependency-parsing
|
6 |
+
- nested-compound-type-identification
|
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+
- lstm
|
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- nlp
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- sanskrit
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- pytorch
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---
|
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+
|
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# DepNeCTI-LSTM: Dependency-based Nested Compound Type Identification for Sanskrit
|
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+
|
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+
This repository contains the datasets proposed in the paper [Sandhan et al., 2023](https://arxiv.org/abs/2310.09501)
|
16 |
+
|
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+
---
|
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+
# Summary
|
19 |
+
|
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+
The **NeCTIS** dataset is created for **nested compound type identification in Sanskrit**, focusing on multi-component compounds (especially with more than 2 components). It includes **coarse** and **fine-grained** semantic type annotations.
|
21 |
+
|
22 |
+
### Key Features
|
23 |
+
|
24 |
+
- **Two datasets**:
|
25 |
+
- **NeCTIS**: In-domain (Prose)
|
26 |
+
- **NeCTIS-OOD**: Out-of-domain (Poetry)
|
27 |
+
|
28 |
+
- **Annotations**:
|
29 |
+
- **Coarse-level**: 4 broad compound types:
|
30 |
+
- **AvyayΔ«bhava** (Indeclinable)
|
31 |
+
- **BahuvrΔ«hi** (Exocentric)
|
32 |
+
- **Tatpurusha** (Endocentric)
|
33 |
+
- **Dvandva** (Copulative)
|
34 |
+
- **Fine-grained**: 86 detailed sub-types
|
35 |
+
|
36 |
+
### Dataset Statistics
|
37 |
+
|
38 |
+
| Dataset | #Nested Compounds | Train | Test | Dev | Compound Types |
|
39 |
+
|----------------|-------------------|--------|-------|-------|----------------|
|
40 |
+
| **NeCTIS** | 17,656 | 12,431 | 3,493 | 2,405 | 4 (86) |
|
41 |
+
| **NeCTIS-OOD** | 1,189 | β | 1,189 | β | 4 (86) |
|
42 |
+
|
43 |
+
|
44 |
+
### Domain & Genre
|
45 |
+
|
46 |
+
- **NeCTIS**: Philosophical, Literary, and Ayurvedic domains β *Prose*
|
47 |
+
- **NeCTIS-OOD**: PaurΔαΉic (epic literature) domain β *Poetry*
|
48 |
+
|
49 |
+
- Poetry tends to include more novel, complex, and metrical compounds.
|
50 |
+
|
51 |
+
### Annotation Process
|
52 |
+
|
53 |
+
- Funded by **DeitY (2009β2012)** as part of the **Sanskrit-Hindi Machine Translation project**
|
54 |
+
- Annotation done by **6 institutes**, each with ~10 members across 3 expertise levels:
|
55 |
+
- **Junior Linguist** (Masterβs in Sanskrit)
|
56 |
+
- **Senior Linguist** (Ph.D. in Sanskrit)
|
57 |
+
- **Professional Linguist** (Professors)
|
58 |
+
- Multi-level quality checks and **cross-institute validation**
|
59 |
+
- Annotation guidelines based on **PΔαΉinian grammar** and traditional commentaries.
|
60 |
+
|
61 |
+
**For Detailed information refer to the original paper.**
|
62 |
+
|
63 |
+
|
64 |
+
# Files
|
65 |
+
```
|
66 |
+
βββ README.md
|
67 |
+
βββ LICENSE
|
68 |
+
βββ No Context CSV files/
|
69 |
+
β βββ Combined.csv
|
70 |
+
β βββ test.csv
|
71 |
+
β βββ train.csv
|
72 |
+
β βββ dev.csv
|
73 |
+
β βββ outofDomain.csv
|
74 |
+
βββ With Context CSV files/
|
75 |
+
β βββ Combined.csv
|
76 |
+
β βββ test.csv
|
77 |
+
β βββ train.csv
|
78 |
+
β βββ dev.csv
|
79 |
+
β βββ outofDomain.csv
|
80 |
+
|
81 |
+
```
|
82 |
+
|
83 |
+
# Dive in the Dataset
|
84 |
+
|
85 |
+
## With Context
|
86 |
+
- Total rows: **15,940 rows**.
|
87 |
+
- Split: Train (69%), Test (18%), Dev (13%).
|
88 |
+
- **train CSV**: **11,000 rows**.
|
89 |
+
- **test CSV**: **2,940 rows**.
|
90 |
+
- **dev CSV**: **2,000 rows**.
|
91 |
+
- The **combined CSV**: all above files merged, 15,940 rows total.
|
92 |
+
- These four CSV files include the following columns:
|
93 |
+
`Unnamed: 0`, `Raw_Tagged`, `Clean`, `Bio_tagged`, `Span_Tagged`, `Coarse_tag`, `Compound_lengths`, `Coarse_Span_Tagged`.
|
94 |
+
- The **out of Domain** contains **1139 rows**
|
95 |
+
- The **out-of-domain** dataset has an additional column, `Book`, and lacks the `Compound_lengths` column.
|
96 |
+
|
97 |
+
|
98 |
+
| Column Name | Description |
|
99 |
+
|--------------------|-----------------------------------------------------------------------------------------------------------|
|
100 |
+
| **Unnamed: 0.1** | Auto-generated row index by pandas when reading CSV, used as a unique identifier for each row. |
|
101 |
+
| **Unnamed: 0** | Another index column created during CSV operations, often redundant with `Unnamed: 0.1`. |
|
102 |
+
| **Raw_Tagged** | Original input text with embedded annotation tags marking nested compound components and their types. Tags use angled brackets `< >` and suffix codes to show component boundaries and types. |
|
103 |
+
| **Clean** | Cleaned, tokenized version of the text without any annotation tags or special characters, for plain reading. |
|
104 |
+
| **Bio_tagged** | BIO tagging scheme at the token level indicating compound boundaries: `B-C` = Beginning of a compound segment, `I-C` = Inside a compound segment, `O` = Outside any compound (non-compound token) |
|
105 |
+
| **Span_Tagged** | Token spans marking compound segments along with their labels. Format: `start,end Label`. Multiple spans are separated by `\|`. For example, `0,2 BvS\|2,5 Ds` means tokens from index 0 to 2 form a `BvS` compound, tokens 2 to 5 form a `Ds` compound. |
|
106 |
+
| **Coarse_tag** | Coarse-grained compound type annotations embedded with original tagged segments, indicating linguistic compound types such as `Bahuvrihi`, `Tatpurusha`, or `Dvandva`. |
|
107 |
+
| **Compound_lengths** | List indicating the length (number of tokens) of each compound segment in the text. For example, `[1, 1]` means there are two compounds each one token long. |
|
108 |
+
| **Coarse_Span_Tagged** | Combines span indices with coarse compound type labels to specify the token ranges and their compound categories. For example: `0,2 Bahuvrihi|2,5 Dvandva`. |
|
109 |
+
|**Book**| Present in ood dataset. Informs about the book from which the sentence is taken.|
|
110 |
+
|
111 |
+
|
112 |
+
## Without Context
|
113 |
+
- Total rows: **15,940 rows**.
|
114 |
+
- Split: Train (69%), Test (18%), Dev (13%).
|
115 |
+
- **train CSV**: **11,000 rows**.
|
116 |
+
- **test CSV**: **2,940 rows**.
|
117 |
+
- **dev CSV**: **2,000 rows**.
|
118 |
+
- The **combined CSV**: all above files merged, 15,940 rows total.
|
119 |
+
- The **out of Domain** contains **1139 rows**
|
120 |
+
- These five CSV files include the following columns:
|
121 |
+
`Unnamed: 0`, `Raw_Tagged`, `Clean`, `Bio_tagged`, `Span_Tagged`, `Coarse_tag`, `Coarse_Span_Tagged`.
|
122 |
+
|
123 |
+
| Column Name | Description |
|
124 |
+
|--------------------|-----------------------------------------------------------------------------------------------------------|
|
125 |
+
| **Unnamed: 0.1** | Auto-generated index column, unique identifier for each row. |
|
126 |
+
| **Unnamed: 0** | Another index column created during CSV processing, often redundant with `Unnamed: 0.1`. |
|
127 |
+
| **Raw_Tagged** | Original text with embedded annotation tags marking nested compound components. Tags use angled brackets `< >` with suffix codes for component boundaries and types. Example: `<sa-sarzapaM>BvS <tumburu-DAnya-vanyaM>Ds` |
|
128 |
+
| **Clean** | Cleaned and tokenized text with no annotation tags, representing plain text tokens. |
|
129 |
+
| **Bio_tagged** | BIO scheme token-level tagging indicating compound boundaries: `B-C` = Beginning of a compound segment `I-C` = Inside a compound segment `O` = Outside any compound segment. |
|
130 |
+
| **Span_Tagged** | Token span annotations marking compound segments with labels. Format: `start,end Label`. Multiple spans are separated by `\|`. For example, `0,2 BvS\|2,5 Ds` indicates tokens 0 to 2 form a `BvS` compound, and tokens 2 to 5 form a `Ds` compound. |
|
131 |
+
| **Coarse_tag** | Coarse-grained compound type annotations embedded in the original tagged text, indicating linguistic compound types such as `Bahuvrihi`, `Tatpurusha`, or `Dvandva`. |
|
132 |
+
| **Coarse_Span_Tagged** | Combines token span indices with coarse compound type labels, e.g., `0,2 Bahuvrihi\|2,5 Dvandva` specifies token ranges and their corresponding compound categories. |
|
133 |
+
|
134 |
+
|
135 |
+
# Paper
|
136 |
+
```
|
137 |
+
@misc{sandhan2023depnecti,
|
138 |
+
title={DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit},
|
139 |
+
author={Jivnesh Sandhan and Yaswanth Narsupalli and Sreevatsa Muppirala and Sriram Krishnan and Pavankumar Satuluri and Amba Kulkarni and Pawan Goyal},
|
140 |
+
year={2023},
|
141 |
+
eprint={2310.09501},
|
142 |
+
archivePrefix={arXiv},
|
143 |
+
primaryClass={cs.CL}
|
144 |
+
}
|
145 |
+
```
|
146 |
+
Original paper [DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit](http://arxiv.org/abs/2310.09501)
|
147 |
+
|
148 |
+
Github Repository of [DepNeCTI](https://github.com/yaswanth-iitkgp/DepNeCTI)
|
With Context CSV files/Combined.csv
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|
With Context CSV files/dev.csv
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|
With Context CSV files/outofDomain.csv
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|
With Context CSV files/test.csv
ADDED
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|
With Context CSV files/train.csv
ADDED
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|