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- ---
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- license: apache-2.0
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- ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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+ ---
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+ language: san
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+ license: apache-2.0
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+ tags:
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+ - dependency-parsing
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+ - 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)
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+
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+ ---
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+ # Summary
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+
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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.
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+
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+ ### Key Features
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+
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+ - **Two datasets**:
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+ - **NeCTIS**: In-domain (Prose)
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+ - **NeCTIS-OOD**: Out-of-domain (Poetry)
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+
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+ - **Annotations**:
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+ - **Coarse-level**: 4 broad compound types:
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+ - **AvyayΔ«bhava** (Indeclinable)
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+ - **BahuvrΔ«hi** (Exocentric)
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+ - **Tatpurusha** (Endocentric)
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+ - **Dvandva** (Copulative)
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+ - **Fine-grained**: 86 detailed sub-types
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+
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+ ### Dataset Statistics
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+
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+ | Dataset | #Nested Compounds | Train | Test | Dev | Compound Types |
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+ |----------------|-------------------|--------|-------|-------|----------------|
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+ | **NeCTIS** | 17,656 | 12,431 | 3,493 | 2,405 | 4 (86) |
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+ | **NeCTIS-OOD** | 1,189 | β€” | 1,189 | β€” | 4 (86) |
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+
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+
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+ ### Domain & Genre
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+
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+ - **NeCTIS**: Philosophical, Literary, and Ayurvedic domains β†’ *Prose*
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+ - **NeCTIS-OOD**: Paurāṇic (epic literature) domain β†’ *Poetry*
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+
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+ - Poetry tends to include more novel, complex, and metrical compounds.
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+
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+ ### Annotation Process
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+
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+ - Funded by **DeitY (2009–2012)** as part of the **Sanskrit-Hindi Machine Translation project**
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+ - Annotation done by **6 institutes**, each with ~10 members across 3 expertise levels:
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+ - **Junior Linguist** (Master’s in Sanskrit)
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+ - **Senior Linguist** (Ph.D. in Sanskrit)
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+ - **Professional Linguist** (Professors)
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+ - Multi-level quality checks and **cross-institute validation**
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+ - Annotation guidelines based on **Pāṇinian grammar** and traditional commentaries.
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+
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+ **For Detailed information refer to the original paper.**
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+
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+
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+ # Files
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+ ```
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+ β”œβ”€β”€ README.md
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+ β”œβ”€β”€ LICENSE
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+ β”œβ”€β”€ No Context CSV files/
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+ β”‚ β”œβ”€β”€ Combined.csv
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+ β”‚ β”œβ”€β”€ test.csv
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+ β”‚ β”œβ”€β”€ train.csv
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+ β”‚ β”œβ”€β”€ dev.csv
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+ β”‚ └── outofDomain.csv
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+ β”œβ”€β”€ With Context CSV files/
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+ β”‚ β”œβ”€β”€ Combined.csv
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+ β”‚ β”œβ”€β”€ test.csv
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+ β”‚ β”œβ”€β”€ train.csv
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+ β”‚ β”œβ”€β”€ dev.csv
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+ β”‚ └── outofDomain.csv
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+
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+ ```
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+
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+ # Dive in the Dataset
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+
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+ ## With Context
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+ - Total rows: **15,940 rows**.
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+ - Split: Train (69%), Test (18%), Dev (13%).
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+ - **train CSV**: **11,000 rows**.
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+ - **test CSV**: **2,940 rows**.
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+ - **dev CSV**: **2,000 rows**.
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+ - The **combined CSV**: all above files merged, 15,940 rows total.
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+ - These four CSV files include the following columns:
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+ `Unnamed: 0`, `Raw_Tagged`, `Clean`, `Bio_tagged`, `Span_Tagged`, `Coarse_tag`, `Compound_lengths`, `Coarse_Span_Tagged`.
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+ - The **out of Domain** contains **1139 rows**
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+ - The **out-of-domain** dataset has an additional column, `Book`, and lacks the `Compound_lengths` column.
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+
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+
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+ | Column Name | Description |
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+ |--------------------|-----------------------------------------------------------------------------------------------------------|
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+ | **Unnamed: 0.1** | Auto-generated row index by pandas when reading CSV, used as a unique identifier for each row. |
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+ | **Unnamed: 0** | Another index column created during CSV operations, often redundant with `Unnamed: 0.1`. |
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+ | **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. |
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+ | **Clean** | Cleaned, tokenized version of the text without any annotation tags or special characters, for plain reading. |
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+ | **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) |
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+ | **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. |
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+ | **Coarse_tag** | Coarse-grained compound type annotations embedded with original tagged segments, indicating linguistic compound types such as `Bahuvrihi`, `Tatpurusha`, or `Dvandva`. |
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+ | **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. |
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+ | **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`. |
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+ |**Book**| Present in ood dataset. Informs about the book from which the sentence is taken.|
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+
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+
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+ ## Without Context
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+ - Total rows: **15,940 rows**.
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+ - Split: Train (69%), Test (18%), Dev (13%).
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+ - **train CSV**: **11,000 rows**.
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+ - **test CSV**: **2,940 rows**.
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+ - **dev CSV**: **2,000 rows**.
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+ - The **combined CSV**: all above files merged, 15,940 rows total.
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+ - 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`.
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+
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+ | Column Name | Description |
124
+ |--------------------|-----------------------------------------------------------------------------------------------------------|
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+ | **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` |
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+ | **Clean** | Cleaned and tokenized text with no annotation tags, representing plain text tokens. |
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+ | **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. |
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+ | **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. |
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+ | **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. |
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+
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+
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+ # Paper
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+ ```
137
+ @misc{sandhan2023depnecti,
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+ 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},
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+ eprint={2310.09501},
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+ archivePrefix={arXiv},
143
+ primaryClass={cs.CL}
144
+ }
145
+ ```
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+ Original paper [DepNeCTI: Dependency-based Nested Compound Type Identification for Sanskrit](http://arxiv.org/abs/2310.09501)
147
+
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+ Github Repository of [DepNeCTI](https://github.com/yaswanth-iitkgp/DepNeCTI)
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